Research on Multi-Objective Optimization Operation of Microgrid

2018 International Conference on Civil and Hydraulic Engineering

土木建筑工程;水利工程

Meng, Yuanzhu^1 ; Zhao, Shujian^1 ; Jiang, Jing^2

Department of Electrical Engineering, Northeast Electric Power University, Jilin

132012, China^1

JiLin Province JiLin Power Supply Company, JiLin

132021, China^2

关键词: Distributed power supplies;    Economy and environmental;    Multi-objective functions;    Multi-objective optimization problem;    Optimization operation;    Optimization strategy;    Particle swarm optimization algorithm;    Simulation verification;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/189/5/052012/pdf
DOI  :  10.1088/1755-1315/189/5/052012

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

Since the microgrid with distributed power supply has the advantages of flexibility and cleanliness, it has become an important part of the smart grid. In order to achieve the economy and environmental protection multi-objective optimal operation of the microgrid system, the optimization strategy is used to solve the multi-objective optimization problem under the constraints of the system. The multi-objective function model for optimal operation of the microgrid is established. The subpopulation hybridization operation is added into the particle swarm optimization algorithm, which makes it suitable for solving multi-objective optimization problems and applies it to the optimization operation of the microgrid. The power generation cost and environmental cost are used as the sub-objective function to carry out simulation verification. The simulation verification results show that the algorithm can achieve multi-objective optimization operation of microgrid.