基于粒子群算法的多能互补发电系统优化配置研究  

Research on Optimal Configuration of Multi Energy Complementary Power Generation System Based on Particle Swarm Optimization

作　　者：刘光辉[1] LIU Guanghui(Xinjiang Institute of Engineering,Urumqi 830023,China)

机构地区：[1]新疆工程学院,新疆乌鲁木齐830023

出　　处：《现代信息科技》2022年第17期121-123,127,共4页Modern Information Technology

摘　　要：由于多能互补发电系统各机组输出具有一定的波动性,需要对其进行平抑,为此提出基于粒子群算法的多能互补发电系统优化配置方法。结合Weibull分布构建了多能互补发电系统功率分布模型,将各个机组的输出功率设为寻优粒子,将模型的阈值设为粒子的约束条件。对粒子移动步长进行设置的阶段,引入了多能互补发电系统的负荷波动参数,利用粒子群算法对这些参数进行寻优,以此实现多能互补发电系统优化配置。测试结果表明,多能互补发电系统平抑出力的最大值为217.85 MW,最小值为203.15 MW,系统优化配置耗时更短,配置效果更好。Because the output of each unit of the multi energy complementary power generation system has certain volatility,it needs to be suppressed.Therefore,a method of optimal configuration of multi energy complementary power generation system based on particle swarm optimization is proposed.Combined with Weibull distribution,the power distribution model of multi energy complementary power generation system is constructed.The output power of each unit is set as the optimization particle,and the threshold of the model is set as the constraint condition of the particle.In the stage of setting the particle moving step size,the load fluctuation parameters of the multi energy complementary power generation system are introduced,and the particle swarm optimization is used to optimize these parameters,so as to achieve the optimal configuration of the multi energy complementary power generation system.The test results show that the maximum regulated output of the multi energy complementary power generation system is 217.85 MW,and the minimum is 203.15 MW.The system optimization configuration takes less time and the configuration effect is better.

关 键 词：粒子群算法 多能互补发电系统 WEIBULL分布 寻优粒子 约束条件 负荷波动 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]