GENETIC ALGORITHM-BASED ADMISSION TEST FORVEHICLE-TO-GRID ELECTRICITY TRADE SERVICES

摘要: This paper designs and evaluates a vehicle-to-grid (V2G) electricity trader capable of selecting an appropriate subset out large number electric vehicles (EVs) which want to sell their energy microgrid. A genetic algorithm, tailored for this trade coordination, reduces the amount unmet demand forecasted one day advance in Each is encoded integer r vector whose element has either 1 or 0 according whether associated EV included not. The evaluation function estimates fitness feasible solution, employing fast heuristic-based unit scheduler. Its lightweight-ness allows algorithm calculate massive subsets, each fixed EVs. admission test gives chance EVs contact with other microgrids when they are not accepted final schedule. performance measurement result obtained from prototype implementation reveals that proposed scheme achieves up 20.8 % improvement over random selection terms demand. Moreover, can efficiently cope overload condition, is, many concentrated single microgrid, judging its stable curve.