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Hierarchical under frequency load shedding scheme for interconnected power systems
Protection and Control of Modern Power Systems volume 8, Article number: 34 (2023)
Abstract
Severe disturbances in a power network can cause the system frequency to exceed the safe operating range. As the last defensive line for system emergency control, under frequency load shedding (UFLS) is an important method for preventing a wide range of frequency excursions. This paper proposes a hierarchical UFLS scheme of “centralized realtime decisionmaking and decentralized realtime control” for interconnected systems. The centralized decisionlayer of the scheme takes into account the importance of the load based on the equivalent transformation of kinetic energy (KE) and potential energy (PE) in the transient energy function (TEF), while the load PE is used to determine the load shedding amount (LSA) allocation in different loads after faults in realtime. At the same time, the influence of inertia loss is considered in the calculation of unbalanced power, and the decentralized control center is used to implement the onestage UFLS process to compensate for the unbalanced power. Simulations are carried out on the modified New England 10generator 39bus system and 197bus system in China to verify the performance of the proposed scheme. The results show that, compared with other LSA allocation indicators, the proposed allocation indicators can achieve better f_{nadir} and t_{d}. At the same time, compared with other multistage UFLS schemes, the proposed scheme can obtain the maximum f_{nadir} with a smaller LSA in scenarios with high renewable energy sources (RES) penetration.
1 Introduction
1.1 Background and motivation
When a power system suffers from extreme faults such as power transmission line disconnection, loss of large power generation, etc., the system will have large unbalanced power. The large frequency deviation caused by the unbalanced power can damage power generation equipment, and even, in severe cases, cause the system to collapse [1]. Thus, emergency control measures are needed to maintain the balance between generation and demand within the system. As the third line of defense, under frequency load shedding (UFLS) is an important method for restoring frequency stability and reducing system unbalanced power [2, 3]. With the rapid development of the modern power system, the penetration of renewable energy sources (RES) in the system is increasing. As most RES are connected to the system via power electronic interfaces, they provide little or no inertia to the system [4]. The decrease of system inertia will lead to a higher rate of change of frequency, which may render existing UFLS schemes ineffective, causing the frequency to be outside the safe range. Therefore, it is necessary to design an appropriate UFLS scheme in the current power system.
1.2 Literature review
The key to better performance of a UFLS scheme is accurate evaluation and allocation of unbalanced power in realtime after faults [5,6,7,8]. The unbalanced power determines the amount of load that needs to be removed, and the evaluation results that are too high or too low cannot fully reflect the effect of the UFLS scheme. Therefore, in [8], the unbalanced power evaluation method based on the rate of change of COI frequency is studied. However, because of the voltage characteristics of the load, the unbalanced power evaluation results in [8] are biased. In [9], load power deviation is introduced to correct the unbalanced power in [8]. To solve the problems of communication delay and excessive data processing caused by COI frequency calculation, an evaluation method for the rate of change of COI frequency based on local measurement is developed in [10] using inflection point detection technology, and the change of system inertia is also considered.
As for the allocation of load shedding amount (LSA), it is verified in [11] by simulation that the performance of load shedding (LS) with different priorities is different for the UFLS scheme. In [12], when the LSA is determined, particle swarm optimization is used to solve the optimal LS combination. However, the above method requires a large amount of calculation so is mostly used for offline strategy formulation, as it is difficult for it to be embedded in UFLS relays with a strict requirement on calculation speed. In [13], the influence of unbalanced power on load voltage is considered, and the sensitivity of load reactive power to voltage is used for LSA allocation. In [14], the rate of load voltage drop is used for LSA allocation, while in [15], the voltage amplitude is considered on the basis of [14]. In [16], a voltage stability index (VSI) based on the Thevenin equivalent model of the load bus is proposed to quickly search for suitable locations for LS, whereas in [17], the influence of a photovoltaic power station on the Thevenin equivalent model of load nodes is considered on the basis of [16]. The above LSA allocation is analyzed from the perspective of voltage stability, without establishing a relationship with frequency stability. In [18], steadystate load power and frequency deviation are used for LSA allocation. Among them, the load bus with larger initial load power and frequency deviation will share a larger LSA. In [19], a simple and efficient method is proposed to calculate the sensitivity of system frequency to load power variation, and the load which has greater influence on the system frequency is identified. However, this method needs accurate generator parameter information, which is difficult to obtain directly from measurement data. As the analysis of the above indicators does not establish a detailed mechanism model to yield the relationship between each load and the system frequency, so it is impossible to reveal the degree of influence of each load on the system frequency stability. Therefore, the construction of a multimachine system model for frequency stability analysis is crucial.
1.3 Contribution and organization
The transient energy function (TEF) of a multimachine system is a good model for analyzing system stability. It comes from Lyapunov stability theory and follows the basic law of energy conservation [4, 20, 21]. In the dynamic process after the system is disturbed, the energy will be transformed and interact with each other in the system in the form of kinetic energy (KE) and potential energy (PE) [20], while the total amount of energy remains unchanged. Therefore, the conversion relationship between the rotor KE and the system PE (the PE of load, line, etc.) can be established through the TEF, where the rotor KE can reflect the system frequency change [20]. Then, the factors of load that affect the KE can be analyzed, and the influence of different loads on the system frequency can be analyzed from the perspective of energy.
In this paper, the TEF in [21] is extended by using Telleggen's theorem, so that it can consider the grid connection of RES, and can be applied to the case of system unbalanced power disturbance. The reference point in the TEF is discussed to make it more suitable for the real fault trajectory change of the system. Then, a hierarchical UFLS scheme based on PUMs is proposed. The key in this scheme is the calculation and allocation of LSA. Based on the principle of KE and PE transformation in TEF, the PE of load is used to consider the allocation of LSA, while the LSA calculation takes into account the impact of the loss of the generation. The main contributions of this paper are as follows:

1.
For the imbalance power disturbance in the system, a multimachine system TEF model conforming to the actual fault trajectory of the system is constructed based on [21]. This takes into account a highly concentrated RES scenario.

2.
Based on the principle of KE and PE transformation in the TEF, a LSA allocation indicator is proposed. On this basis, a onestage hierarchical UFLS scheme using measurement data is proposed, and the inertia change of the system is considered.

3.
Comparison with other LSA allocation indicators verifies the advantages of those proposed. A comparison with the multistage UFLS scheme verifies that the onestage UFLS scheme is more appropriate in the “centralized realtime decisionmaking and decentralized realtime control” framework.
The remainder of this paper is organized as follows. In Sect. 2, the TEF of the multimachine system is constructed, whereas in Sect. 3, the proposed UFLS scheme based on load PE is described. Simulations are presented in Sect. 4, and conclusions are presented in Sect. 5
2 Theoretical basis for the proposed scheme
2.1 Transient energy function construction
A TEF based on the structurepreserving model is used as an analysis method for the traditional power angle stability problem [4, 20, 21]. A simple system TEF based on the secondorder equation of rotor motion is constructed in [21], though it only contains the KE of the generator and the PE of the lines. This section extends the TEF in [21], considering the governor system, load and RES (includes wind power, photovoltaics, and DC fed from an external grid). Among them, RES has no inertia and fast frequency response capability, while the line losses in the system are ignored.
For an nmachine hnode system, the total number of nodes in the system is n + h, and the swing equation of the generator i can be expressed as:
where \(\delta_{i}\) is the power angle, \(\Delta f_{i}\) is the frequency deviation, \(P_{ei}\) and \(P_{mi}\) are the respective electromagnetic and mechanical power, and \(M_{gi}\) is the mechanical time constant of the generator.
The TEF of the overall system can be represented as [21]:
where \(V_{KE}\) is the total KE of the system.
According to the balance relationship of active power flow, the following balance equation exists for any node i in the network [22]:
where \(P_{wi}\) and \(P_{li}\) are the postfault power of RES and load, respectively.
Multiplying both sides of (3) by \(\Delta f_{i}\), and given \(X_{ij} = X_{ji}\) and \(\sin \theta_{ij} =  \sin \theta_{ji}\), the n + h node equations in (3) are summed as [20]:
where \(P_{b} = U_{i} U_{j} \sin \theta_{ij} /X_{ij}\), \(f_{b} = f_{ij}\), and k is the total number of lines in system.
For a lossless power network, the active power of each line satisfies Kirchhoff's current theorem, and the frequency of each node satisfies Kirchhoff's voltage theorem. Considering that the system has the same topology in transient and steady state after fault, the equivalent network diagram of the system is shown in Fig. 1. According to Tellegen's second theorem [23], there is:
where \(P_{mi}^{ss} = P_{ei}^{ss}\),\(P_{ei}^{ss}\),\(P_{mi}^{ss}\),\(P_{wi}^{ss}\),\(P_{li}^{ss}\) and \(P_{b}^{ss}\) are the electromagnetic power, mechanical power, RES power, load power and line power in postfault steady state point.
Subtracting (4) and (5), and bringing the results into (2), the TEF of the whole system can be obtained, as:
Where V, \(V_{PE,m}\), \(V_{PE,w}\), \(V_{PE,l}\) and \(V_{PE,b}\) are the TEF, total PE of generator, RES, load and line of the system based on the postfault steadystate point, respectively.
2.2 Discussion of steadystate reference points for transient energy function
The construction of the above TEF is based on the postfault steadystate point as the steadystate reference point. This is to meet the positive definiteness requirement of the Lyapunov direct method for the function V. This makes the TEF puzzling in the physical mechanism. In order to select the postfault steadystate point as the steadystate reference point, a virtual steadystate time t_{ss} has to be defined. The dynamic mechanism of the system transient process is the energy conservation and conversion process, and the energy accumulation process starts from the prefault steadystate point, rather than the postfault steadystate point. The PE term of the TEF is related to the trajectory of the system, and it is difficult to imagine what the trajectory of the system would look like from a postfault steadystate point. Therefore, from the dynamic point of view, the selection of the postfault steadystate point lacks basis.
To solve the above problems, this chapter will discuss the selection of the reference point of the TEF. Here, the PE of (2) is rewritten as:
where \(t_{0}\) is the time corresponding to the prefault steadystate point of the system. \(\hat{V}_{PE} = \sum\limits_{i = 1}^{n} {(\int_{{t_{0} }}^{t} {(P_{ei} }  P_{mi} )\Delta f_{i} dt}\) is the PE of the system based on the prefault steadystate point, and \(\int_{{t^{ss} }}^{{t_{0} }} {(P_{ei} }  P_{mi} )\Delta f_{i} dt\) can be considered as a constant C.
Through the analysis of (7), it can be seen that the difference of the steadystate reference points will affect the magnitude of the system PE, but it does not affect its changing trend. In any time period [t_{a}, t_{b}] after the fault, there exists the following relationship:
Equation (8) shows that the PE increment of the system at any two moments is not linked to the selection of the steadystate reference point.
Based on the above analysis, the prefault steadystate point is selected as the steadystate reference point, which is consistent with the real dynamic process, and the integral path is unified with the system trajectory, eliminating the power flow calculation at the steadystate point after the fault.
In summary, the system TEF expression based on the prefault steadystate point can be written as:
where \(\hat{V}\) is the TEF of the system based on the prefault steadystate point, which differs from V by a constant C. \(P_{mi,0}^{{}}\), \(P_{wi,0}^{{}}\), and \(P_{b,0}^{{}}\) are the mechanical power, RES power, load power and line power in prefault steady state point. \(\hat{V}_{PE,m}\), \(\hat{V}_{PE,w}\), \(\hat{V}_{PE,l}\) and \(\hat{V}_{PE,b}\) are the total PE of generator, RES, load and line in the system based on the prefault steadystate point, respectively.
The TEF proposed in this paper is based on the prefault steadystate point, which allows the construction of the TEF based on the actual fault data trajectory. The energy model of each component is based on its port characteristics, which avoids complex internal model construction. Therefore, the TEF proposed in this paper can be directly based on system measurement data and does not require continuous modifications to the model.
2.3 Conversion principle of kinetic energy and potential energy
It can be seen from (10) that the total energy of the system is constant, while in the transient process of the system, the PE and KE are converted equally along the postfault trajectory. From the above analysis, integrating V_{KE} in any time period [t_{a}, t_{b}] results in:
Equation (11) reflects the relationship between the KE and PE of each component (generator, RES, load and line) in any time period [t_{a}, t_{b}] after the fault. Its meaning can be interpreted as being that after a large disturbance occurrence in the system, the rotor speed of the generator has a large deviation, and the KE released by the rotor into the system. The KE released by the rotor is characterized in each component in the form of PE. The greater the PE of an element, the more kinetic energy it absorbs, and the greater the impact of frequency deviation is. The connection between PE and system frequency is shown in Fig. 2. Therefore, the above analysis can quantitatively characterize the influence of each component in the system by the fault, and from the expression of PE, the disturbance degree of the component is related to the active power and frequency at the same time. This can provide a theoretical basis for the subsequent frequency control.
3 Proposed hierarchical under frequency load shedding scheme
3.1 Unbalanced power calculation

1.
Calculation of Unbalanced Power under Loss of Synchronous Generation: when a fault of loss of synchronous generator occurs in the system, the inertia of the system will change after the fault. If the system unbalanced power calculation is still performed according to the system inertia before the fault, the results will be incorrect. In order to accurately calculate the unbalanced power of the system, its calculation is based on the COI frequency of all synchronous generators in the system [10], as:
$$\Delta P_{LoG}^{{}} = S_{post} M_{post} \frac{{df_{coi} }}{dt}$$(12)
where \(\Delta P_{LoG}^{{}}\) is the system unbalanced power, \(S_{post} M_{post}\) is the total inertia of the system after the fault, and \(f_{coi}\) is the COI frequency of the system.
Then, according to [10], the system unbalanced power expression under loss of synchronous generator can be obtained as:
where \(PF_{loss}\) is the power factor constant of the lost synchronous generator, \(S_{pre} M_{pre}\) is the total inertia of the system before the fault, and \(M_{loss}\) is the mechanical time constant of the lost synchronous generator.
However, the power factor constant and inertia of the lost generator after fault are unknown. Thus, if the change of the lost generator inertia is not considered in the unbalanced power calculation, the results may be too large, whereas if the lost inertia value considered is too large, the calculation results will be too small. Therefore, in order to calculate the unbalanced power accurately, this paper sets \(M_{loss}\) and \(PF_{loss}\) as the average inertia and average power factor of the lost synchronous generator.

2.
Load Characteristics Impact of Unbalanced Power Calculation: after a fault occurs, the change of the system voltage and frequency will affect the active power of the load, which in turn affects the calculation of the unbalanced power. In the early stage after the fault occurrence, the voltage plays a leading role in the change of the active power of the load, while the frequency change is very small and can be ignored. Therefore, the voltagedependent model of the load can be considered in the unbalanced power calculation, as:
$$P_{l}^{{}} = \sum\limits_{i = 1}^{p} {P_{li0} } [a_{pi} \tilde{U}_{li}^{2} + b_{pi} \tilde{U}_{li} + c_{pi} ]$$(14)
where \(P_{l}^{{}}\) is the total active power of the system load, \(P_{li0}\) is the active power of load i in the prefault steadystate, \(a_{pi}\), \(b_{pi}\) and \(c_{pi}\) represent the proportions of constant impedance load, constant current load and constant power load, respectively. \(\tilde{U}_{li}\) is the voltage per unit value of load i.
Then, the deviation of load active power can be expressed as:
In summary, the unbalanced power of the system can be expressed as the sum of the power deviations on the generation \(\Delta P_{LoG}^{{}}\) and demand \(\Delta P_{l}^{{}}\), as:
where \(\Delta P_{imb}^{{}}\) is the calculated system unbalanced power.
The unbalanced power estimation error is calculated as:
where \(\Delta P_{true}^{{}}\) is the real unbalanced power in the system.
3.2 Load shedding amount allocation
From the analysis in Sect. 2, it can be seen that after a large disturbance occurrence in the system, if the PE of a load in a certain period of time is larger, the load is more affected by the fault. Therefore, the more the load is removed, the greater the impact on the KE of the system, and the more conducive to the recovery of the system frequency.
Therefore, for a multiarea interconnected system, after the UFLS threshold is triggered by the system frequency, the shedding ratios of different loads can be expressed as:
where \(t_{1}\) and \(t_{shed}\) are the time when the imbalance power occurs and the UFLS relay actions, respectively. \(\sum\limits_{i = 1}^{{p_{c} }} {\hat{V}_{PE,li} }\) is the total load PE in area j, \(p_{c}\) represents the number of loads with UFLS relays in area j, and \(p_{c} \le p\). \(\eta_{j}\) and \(\beta_{ji}\) represent the proportion coefficients of LSA allocated to area j and load i in area j, respectively.
Therefore, the LSA of area j (\(\delta P_{lj}\)) and the LSA of load i in area j (\(\delta P_{lji}\)) can be expressed as:
where \(\Delta P_{shed}\) represents the total amount of load power that needs to be shed by implementing the ULFS scheme.
3.3 Proposed hierarchical under frequency load shedding scheme
This paper adopts the hierarchical UFLS control strategy of " centralized realtime decisionmaking and decentralized realtime control", and makes full use of the UFLS relay and communication channel installed in the system. The control concept representation is shown in Fig. 3, and is realized by the centralized decision layer and decentralized control layer. The centralized decision layer includes the system decision center, which is mainly used to collect system information and transmit LS control objects and LS information to area control centers. The decentralized control layer is comprised of the area control center, which is mainly used to implement UFLS commands. These two layers are described in detail in the following paragraphs.

1.
Centralized decision layer: It is mainly composed of the system decision center. Its main responsibilities include: receiving the key measurement information of the load and UFLS relay and identifying the system operational status; calculating the total controllable load of the system and the power imbalance in the case of system events; calculating the LS control object and LSA information after the event; and transmitting the LS command to each area control center.

2.
Decentralized control layer: It is mainly composed of the area control center and the controllable load of each area. The area control center is responsible for communicating with the system decision center, uploading the key measurement information of load and UFLS relay state to the system decision center, receiving the LS command from the system decision center, and executing the LS operation.
The hierarchical UFLS scheme of the interconnected system proposed in this paper needs to process the measurement data in the system decision center and send the LS command to the area control center, and then the area control center executes the LS operation. Therefore the time delay needs to be considered. Processing measurement data in the system control center usually requires consideration of the measurement factors and communication factors, totalling around 300 ms [17]. Similarly, the transmission of LS command from the system control center to the area control center and from the area control center to the UFLS relay typically requires consideration of the transmission times of 30 ms and 20 ms, respectively. In addition, considering that the LS circuit breaker tripping takes around 50 ms, there is a delay of approximately 400 ms between measurement data processing and LS circuit breaker action.
The centralized decisionmaking processes of the proposed hierarchical UFLS scheme are provided below, and the flow chart is shown in Fig. 4.
Step1: Using the generator data, f_{coi} is calculated. It is then compared with the UFLS relay frequency action threshold (e.g., 49.5 Hz) to decide whether to perform the UFLS operation. If f_{coi} < 49.5 Hz, the subsequent LS steps are performed.
Step2: Calculate the unbalanced power of the system using (16) and determine the total amount of load \(\Delta P_{shed}^{{}} = 0.8*\Delta P_{imb}^{{}}\) to be shed.
Step3: According to the collected data of loads equipped with UFLS relays, calculate the \(\delta P_{lji}\) of each load using (19), and send the LS signal to each UFLS relay to perform the LS operation.
Step4: Monitor whether the frequency exceeds the frequency safety limit of 49.8 Hz over a period of time t_{ex}. If f_{coi} > 49.8 Hz, returns to Step1.
Step5: If 49.5 Hz < f_{coi} < 49.8 Hz, \(\Delta P_{shed}^{{}} = 0.1*\Delta P_{imb}^{{}}\), and If f_{coi} < 49.5 Hz, \(\Delta P_{shed}^{{}} = 0.3*\Delta P_{imb}^{{}}\). Returns to Step 3.
4 Simulation verification
This paper uses the modified New England 10generator 39bus system and a 197bus real system in China in PSASP platform for simulation verification. In order to show the advantages of the proposed UFLS scheme, the following UFLS schemes are selected for comparison and verification:

1.
The onestage UFLS scheme, in which the LSA is evenly distributed among each load fitted with UFLS relays (Average Method);

2.
The onestage UFLS scheme, in which the LSA is distributed among each load fitted with UFLS relays according to the indicators proposed by [18];

3.
The twostage UFLS scheme proposed in [5];

4.
The conventional fourstage UFLS scheme proposed in [9].
Here, the COI frequency and the actual LSA are used as the main performance indicators of the above UFLS scheme, including: the nadir frequency (f_{nadir}), postfault steadystate frequency (f_{ss}), duration below 49.8 Hz frequency (t_{d}), and LSA (\(\Delta P_{shed}^{{}}\)).
4.1 Modified New England 10generator 39bus system
The proposed UFLS scheme is validated in the Modified New England 10generator 39bus system [24], as shown in Fig. 5. All the synchronous generators are equipped with governor models and all loads are constant impedance models in the simulation. The synchronous generators G1, G6 and G7 are replaced by a wind turbine with no virtual inertia control and fast frequency response. Synchronous generator G8 is replaced with a DC transmission to simulate external power transfer to the system. Considering the DC transmission, the system's RES penetration level reaches 45%. In actual systems, not all loads are fitted with UFLS relays. Therefore, in order to simulate the actual LS situation, not all loads in this study are fitted with UFLS relays, while loads randomly equipped with UFLS relays are identified in Fig. 5.
The preset parameter t_{ex} of the UFLS scheme proposed in this system is set to 30 s, while \(M_{loss}\) and \(PF_{loss}\) are set to 4 s and 0.85, respectively.

3.
Load shedding allocation
Assuming that the failure results in the loss of synchronous generator G3 from the system, an unbalanced power of 650 MW appears in the system. The unbalanced power evaluated by (16) is 606.5 MW, indicating an evaluation error rate of 6.69%. According to the description in Sect. 3, the LSA of the proposed scheme is 485.2 MW.
Table 1 provides the proportions of PE and the LSA in each area. It can be seen from Table 1 that after G3 is lost, the PE of Area 2 is the largest, which indicates that the power and frequency of the overall load in this area are greatly deviated because of the influence of the fault. Likewise, Table 1 also presents the proportion of PE and the allocated LSA of loads equipped with UFLS relays in the area.

4.
Comparison of scheme effectiveness
The proposed UFLS scheme in this paper performs LS operations according to the LSA allocated in Table 1, and its frequency response changes are shown in Fig. 6, which also shows the comparison of COI frequency changes under the proposed UFLS scheme and other different UFLS schemes. The frequency performance indicators of the different schemes are compared and presented in Table 2, and the LSA of the different schemes are shown in Fig. 7.
It can be seen from Fig. 6, Table 2 and Fig. 7 that, comparing the schemes composed of the proposed LSA allocation indicator, average allocation indicator, and the indicator in [18], all three schemes have only one stage of UFLS and the same LSA, among which the f_{nadir}, f_{ss} and t_{d} of the proposed scheme are the best. This shows the advantages of using the proposed LSA allocation indicators in preventing frequency drop and facilitating frequency recovery. At the same time, the performance of UFLS with different LS stages is also discussed using the proposed LSA allocation indicators. The proposed scheme removes loads of 485.2 MW at 1.45 s. In scheme [5], LS is carried out at 1.45 s and 4.62 s, with 363.9 MW and 242.6 MW respectively. In scheme [9], the LS operation is performed at 1.45 s and 8.40 s, with 303 MW and 124.9 MW, respectively. The performance indicators of the three UFLS schemes in Table 2 and Fig. 7 are compared and ranked, as shown in Fig. 8a. As can be seen, the f_{nadir} indicator of the proposed scheme is ranked first, while the other three indicators are ranked second, indicating that the proposed scheme has no obvious shortcomings under the loss of generator G3, and is a relatively moderate scheme.

5.
Different renewable energy sources penetration levels
In addition, Fig. 9 compares the performance indicators for UFLS schemes at different RES penetration levels. As can be seen from Fig. 9a, the increase of RES penetration levels leads to faster frequency change, which deteriorates the f_{nadir} of the five UFLS schemes, but the indicators of the proposed scheme are still the best. Figures 9b and c compare the performance of f_{ss} and t_{d} in different schemes. It can be seen that the performance indicators of the onestage UFLS schemes (the proposed, average and [18]) deteriorate with the increase of RES penetration level. The multistage UFLS schemes ([5] and [9]) trigger more stages of LS with the increase of RES penetration level, as shown in Fig. 9d, making f_{ss} closer to 50 Hz and t_{d} shorter, but the LSA is larger.
Therefore for systems with high RES proportion levels (i.e., low inertia systems) unbalanced power disturbances can lead to faster rate of frequency drop and increase in the duration of frequency below 49.8 Hz. However, the impact on steadystate frequency and LS amount after faults is minimal.
4.2 197bus actual system in China
The 197bus system is part of China's actual power grid, and is divided into two areas and contains 12 synchronous generators, 6 wind farms, 6 photovoltaic plants and one DC feed transmission channel, as shown in Fig. 10. The total power generated by the synchronous generators is 7180 MW, and the total power generated by the wind farms and photovoltaic plants is 1200 MW. In addition, the DC transmission power is 800 MW. As shown in Fig. 10, loads A8, A10, A14, A19, and A20 in area A, and loads B1, B2, B3, B5, and B6 in area B of the system are equipped with UFLS relays, which have higher priority for UFLS. The preset parameter t_{ex} of the UFLS scheme proposed in this system is 40 s, while \(M_{loss}\) and \(PF_{loss}\) are set to 7.7 s and 0.9, respectively.
The DC bipole blocking fault is simulated to verify the effectiveness of the proposed scheme in the actual system. This resulted in an 800 MW unbalanced power in the system, and the unbalanced power of the system evaluated using (16) is 725 MW, leading to an evaluation error rate of 9.38%. Since the loss of nonsynchronous generation does not affect the moment of inertia of the system, using (16) to evaluate the unbalanced power of the system will cause the evaluation result to be lower than the actual value, leading to the increase of the evaluation error.
The method of obtaining LSA in each area and load is the same as that in Sect. 4. Because of space limitation, this section does not display the LSA.
The influence of wind speed variation on wind farm power is simulated. It is considered that the fluctuation power of the wind farm is connected to Bus1B4, Bus1B5 and Bus1B6 during UFLS, while the power of the other RES remains unchanged. Then the total wind farm power fluctuates around 300 MW, and the specific changes are shown in Fig. 11. In this case, the frequency response changes and the performance indicators of the different schemes are shown in Fig. 11 and Table 3. It can be seen that, compared with other two different LSA allocation indicator schemes (average and [18]), the proposed scheme has better frequency recovery, and is least affected by wind power fluctuation in the frequency lifting process (10–50 s).
The performance indicators of the three UFLS schemes (the proposed, [5] and [9]) in Table 3 and Fig. 12 are compared and ranked, and the ranking results were shown in Fig. 8b. As can be seen from Fig. 8b, the t_{d} indicator of the proposed scheme is ranked last, but f_{nadir} and LSA indicators of the proposed scheme are ranked first, indicating that the proposed scheme can achieve the maximum f_{nadir} with the minimum LSA under DC bipole blocking.
It can be seen from both cases that the UFLS scheme proposed in this paper can effectively control the frequency indicator so that it is kept within a reasonable limit. In addition, in comparison with other UFLS schemes, the comprehensive analysis of the performance indicators confirms that the scheme proposed in this paper is appropriate.
5 Conclusion
In this paper, a hierarchical UFLS scheme of "centralized realtime decisionmaking and decentralized realtime control" based on measurement is proposed. In this scheme, a TEF is introduced to construct the system model. The TEF used in this paper is extended from [21] to be more suitable for system analysis under unbalanced power disturbance. According to the expression of the TEF, the dynamic process of the system is described as the process of mutual conversion of KE and PE. The PE of area and load is used for the calculation of the LSA allocation in the centralized decision layer, and the area and load with a high proportion of PE are allocated with more LSA, so that the KE in the system to be converted and absorbed is maximized to prevent the frequency from dropping quickly. At the same time, the onestage UFLS process is implemented by the decentralized control center. The proposed scheme realizes coordinated control of load between regions and within regions, and improves the accuracy of UFLS as much as possible. The proposed hierarchical UFLS scheme is tested on the New England 10generator 39bus system and the 197bus actual system in China. The results show that the proposed scheme can effectively control the system frequency within a reasonable range, and has good performance. Compared with other LSA allocation indicators, the proposed allocation indicators can achieve better frequency performance. In the high RES penetration scenario, compared with other multistage load shedding schemes, the proposed onestage LS scheme can mitigate the impact of communication delay and obtain the maximum f_{nadir} with a small LSA.
The "centralized realtime decisionmaking and decentralized realtime control" framework used in this paper can achieve precise UFLS control. However, because of the transmission of information between different layers, control execution requires additional time. Therefore, the next research plan is to predict the time when the frequency reaches 49.5 Hz, so that the LS signal can be transmitted to the UFLS relay before the frequency threshold is reached. This can reduce the impact of time delay caused by data transmission on the UFLS performance.
Availability of data and materials
The datasets used or analysed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
The authors thank the National Key R&D Program of China “Responsedriven intelligent enhanced analysis and control for bulk power system stability” [Grant Numbers 2021YFB2400800].
Funding
This work was supported in part by the National Key R&D Program of China “Responsedriven intelligent enhanced analysis and control for bulk power system stability” under Grant 2021YFB2400800.
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GC: Visualization, Investigation, Supervision methodology. SZ: Conceptualization, Software, Data curation, Writingoriginal draft. CL: Manuscript modification, Method correction. YZ, SG and ZC: Review & editing.
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Cai, G., Zhou, S., Liu, C. et al. Hierarchical under frequency load shedding scheme for interconnected power systems. Prot Control Mod Power Syst 8, 34 (2023). https://doi.org/10.1186/s41601023003079
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DOI: https://doi.org/10.1186/s41601023003079