Hybrid intelligence approach for multi-load level reactive power planning using VAR compensator in power transmission network

Protection and Control of Modern Power Systems

Table 2 Different hybridization methods

*Year*	*Reference*	*Hybrid Algorithm*	*Reason for implementation*
2017	[31]	Chaotic Artificial Bee Colony Differential Evolution (CABC-DE) algorithm	To solve reactive power optimization and minimize the searching time for the global solution.
2020	[32]	Hybrid MGWO-SCA-CSA	To reduce the overall generation cost of micro-grid system with the help of optimal controlling parameters.
2017	[33]	Hybrid of modified PSO and GA	To solve non-linear optimal power flow problem in power system by enhancing the primary population set generation procedure of the variables.
2020	[34]	Hybrid PSODE	To determine the optimal solution of RPP in power transmission system.
2013	[35]	Hybrid PSO	To improve movements of particles and avoid local optimum solution subjected to achieve economic benefits in community micro-grid operation.
2020	[36]	Hybrid Symbiotic Differential Evolution Moth-flame Optimization (HSDE-MFO) algorithm	To obtain optimal parameters of photovoltaic models depending upon measured current-voltage data of photovoltaic systems for the reliable operation of the system.