Research on Multi-objective Optimal Configuration of Microgrid Interfaced with Renewable Energy
The randomness of renewable energy and load demand have an impact on the stability of microgrid(MG),thus the optimal configuration for MG is very important.This paper combines the operation cost and investment cost of MG as a multi-objective function of configuration optimization,and optimizes the configuration of renewable energy with the goal of reducing the total cost and carbon emission.Genetic algorithm(GA)is used to optimize the multi-objective function to obtain the opti-mal number of renewable energy configuration.Taking a typical AC/DC hybrid microgrid as an example,the access quantity of its distributed generation is optimized.The results show that the total cost and carbon emission after optimized configuration have been effectively reduced,which verifies the effectiveness of the optimal configuration method.
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维普
