基于改进MOPSO的多能互补型微电网多元优化运行策略  

Multivariate Optimal Operation Strategy of Multi-Energy Complementary Microgrid Based on Improved MOPSO

作　　者：王盼宝[1] 徐殿国[1] 谭岭玲 张大禹[1] 王卫[1] WANG Panbao;XU Dianguo;TAN Lingling;ZHANG Dayu;WANG Wei(School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]哈尔滨工业大学电气工程及自动化学院,哈尔滨150001

出　　处：《南方电网技术》2022年第10期130-140,共11页Southern Power System Technology

基　　金：国家自然科学基金项目(51720105008)。

摘　　要：含多种能源的微电网优化运行是提高系统能效的关键技术。以某校园多能互补型微电网示范工程为依托,构建了日经济成本和污染处理成本的双目标优化运行模型,分别制定不同设备单元的运行策略,提出了改进多目标粒子群算法(multi-objective particle swarm optimization, MOPSO)求解方案。通过加入粒子变异策略,提高算法性能,解决微电网双目标优化冲突问题。最后,基于校园多能互补型微电网的实际运行数据,采用两种不同的典型日分别进行案例分析,验证了所提运行策略的有效性。The optimal operation of microgrid(MG) with multiple-energy sources is the key technology to improve system energy efficiency. Based on the multi-energy complementary MG demonstration project in a campus, the double objectives optimization operation model considering daily economic cost and pollution treatment cost is constructed. The operation strategies of different equipment units are formulated respectively, and an improved multi-objective particle swarm optimization(MOPSO) algorithm based solution method is proposed to solve the double objectives optimization conflict of MG. And the particle mutation strategy is added to enhance the performance of the algorithm. Finally, based on the actual operation data of campus MG, two different typical days are used for case analysis to verify the effectiveness of the proposed operation strategy.

关 键 词：微电网 多能互补 优化运行 改进粒子群算法 

分 类 号：TM727[电气工程—电力系统及自动化]