基于MNUM-遗传算法的分布式电源P-Q优化控制设计  

Research on P-Q Control of Distributed Generation Units by MNUM-Genetic Algorithm Optimization

作　　者：王环 戴瑜兴[1] 曾国强[2] WANG Huan;DAI Yu-xing;ZENG Guo-qiang(Hunan University, Changsha 410082,China)

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082 [2]温州大学电气数字化设计技术国家地方联合工程实验室,浙江温州325035

出　　处：《电力电子技术》2019年第3期108-110,140,共4页Power Electronics

基　　金：浙江省自然科学基金重点项目(LZ16E050002)~~

摘　　要：为了降低并网中分布式电源在输出功率指令突变时产生的功率过冲,提高系统功率控制鲁棒性,提出了基于多点非均匀变异遗传算法(MNUM-GA)的分布式电源P-Q控制系统优化设计方法。该方法的要点为将分布式电源P-Q控制器参数优化设计问题转换为一个典型的有约束优化问题,并将系统有功功率的误差绝对值时间积分性能指标(ITAE)和系统无功功率的ITAE设计为目标函数,而后利用所设计的MNUM-GA获得分布式电源P-Q控制器最优参数。最后在一台容量为2.5 kW三相并网逆变实验系统上进行了仿真测试实验和硬件平台测试实验。实验结果表明,相对于采用Z-N经验法、传统GA的分布式电源系统,所设计的基于MNUMGA的分布式电源P-Q控制系统具有最优的功率控制性能。In order to improve the robust control performance and power overshoot of distributed generation units in grid-connected mode when the output power command has a sudden change, a novel P-Q control design method is designed for the distributed generation units based on multi non-uniform mutation-genetic algorithm (MNUM-GA).The core content behind the proposed method is firstly formulating the design problem of P-Q controller for the distributed generation units as a typical constrained optimization problem,where the integrated time absolute error(ITAE) of active power and the ITAE of reactive power are weighed as the optimization objective function.Then, a MNUM-GA is designed to solve formulated problem.At last, the superiority in power control performance of the proposed method to Z-N empirical method, tradition genetic algorithm is demonstrated by simulation and experimental results on a 2.5 kW threephase grid-connected inverter.

关 键 词：分布式电源 遗传算法 多点非均匀变异 

分 类 号：TN86[电子电信—信息与通信工程]