Optimal allocation of distributed generation based on multi-objective ant lion algorithm

Abstract

Renewable energy access to the distribution network in the form of distributed power is an important means of absorbing renewable energy. In order to further improve the utilization rate of renewable energy, this paper considers the allocation of reactive power compensation equipment and energy storage system in the process of distributed power optimization configuration, establishing a multi-objective optimization model with minimum construction cost in distributed generation, energy storage system and reactive power compensation equipment, minimum system transmission losses and optimal system voltage stability index, applying multi-objective ant lion algorithm for solving the optimization model. Finally, taking the IEEE-33 node distribution network system as an example, it shows that the allocation method proposed in this paper can optimize the impact of the fluctuation of distributed generation on the distribution network, and further improve the utilization rate of renewable energy under the premise of ensuring system stability.