Study on Optimal Complementary Operation Strategy of Wind and PV Generations Based on Genetic Algorithm
In order to fully consider the various characteristics of wind and PV power at different time and spatial scales,leverage the complementary characteristics and synergistic effects of wind and PV power generation,and improve the power generation efficiency and economic benefits,this paper proposes a genetic algorithm based optimal complementary operation strategy for wind and PV power.This method constructs with,a multi-objective optimization model with power balance and minimum operating cost as objectives,and with operating conditions and maximum power variation of wind and PV as constraints.A non-dominated sorting genetic algorithm with elite strategy is used to optimize and solve the model.
wind and PV power generationscomplementary characteristicgenetic algorithmoptimal complementary operation