Cooperative optimal control of microgrid group with distributed generation

In order to effectively solve the energy management problem in the operation of microgrid with distributed generation, taking the grid connected microgrid including photoelectric, wind power, energy storage system and controllable generator units as the research object, this paper constructs the collaborative optimization control model of microgrid group under the networking mode, and comprehensively considers the output and safety constraints of distributed generation, proposes a multi-objective optimization algorithm based on genetic algorithm, Taking the operation cost and environmental cost as the optimization objectives, the optimal solution of the model is solved and analyzed in an example. The results show that the optimization algorithm can significantly improve the peak valley difference characteristics of distribution network load curve. Compared with the separate transaction strategy of microgrid, the economic benefits of microgrid have been improved and the environmental losses have been reduced under the collaborative control mode.