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Table 1 Differences between conventional SG and NGSG

From: Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

Difference based on

Conventional SG

NGSG

Setup assembly

Digital electronics, microprocessors

Edge computing enabled IoT devices and components

Power generation

Distributed power generation plants

Multiple distributed renewable energy sources and each assigned with agent-oriented software

Communication system

Involving microprocessor-based digital technology which allows data communication among the devices of the system and makes the remote control possible

Energy devices can communicate with the power grid and exchange information by giving access to the dynamic communication system

Security system

SGs provide automated protection

The security system will be supported with next-generation blockchain technology

Control system

Fast conventional control measurements are provided

Each parameter such as frequency, voltage, restoration etc., is controlled by different DDTs so that optimal control can be ensured. Hence, internet-based inverter control technology may be used there

Monitoring system

SG involves sensor-based self-monitoring of power distribution

Monitoring in the NGSG is divided to every stage, components and systems within the NGSG with the goal of preventing any type of power disruption by analyzing monitored data and predicting outcomes

Failure and restoration

SG has minimal self-healing properties. At the time of SG failure, power can be rerouted through alternate paths

The advanced self-healing capabilities of NGSG include the use of data from every stage of the power grid for detecting failures and troubleshooting to quickly fix them

Environmental effects

SG involves renewable energy integration which reduces the impacts on the environment, such as emission of CO2 and global warming

DDTs in the NGSG enable a way to reach sustainable energy evolution with lower carbon emission, less waste and reduced global warming by collecting and analyzing grid data