| dc.description.abstract |
In a smart grid scenario, penetration of large scale renewable energy sources is increasing rapidly. Even at global level, serious discussions are being done to reduce carbon emission. In order to achieve this goal of cleaner and greener environment for newer generations, fossil fuel based vehicles are being replaced with electric vehicles. This concept of having more electric vehicles will not only control pollution level but also supply electrical power back to the grid when have surplus power stored. It is going to be a win-win situation for both consumers and the grid. The concept termed as Vehicle-to-Grid (V2G) is explored for frequency regulation aspect in a multi-generation power network in this paper. When established automatic generation control (AGC) in interconnected power system is not sufficient to manage balance between demand and supply, vehicle energy storage is considered a viable option for a shortterm active power support in order to bring frequency back to normal. In energy storage possibilities, super conducting magnetic energy storage, ultra-capacitor, etc. are primarily discussed. This paper focuses on an integrated model of vehicle-to-grid (V2G) and wind power as alternatives to supply instant power to regulate frequency when the system is subjected to sudden perturbation. APSO (adaptive particle swarm optimization) optimized fuzzy logic controller is used to intelligently suppress frequency and tie-line power oscillations. Results obtained are comprehensively presented and discussed in achieving power-frequency balance. MATLAB/Simulink is used for the simulation purpose. |
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