摘要
针对微网中可再生能源发电引起的电压、频率波动,文章提出一种基于改进人工鱼群算法的电力弹簧新型电压频率控制策略。该策略选取关键负载电压、系统频率作为控制状态量,通过实时检测控制状态量并最小化状态量偏差抑制电压、频率波动。利用自适应人工鱼群算法设计优化模块,根据状态量偏差生成的动态误差矩阵确定权重系数,每个更新周期结束时将优化得到的电力弹簧控制信号反馈到系统中,在线调节电力弹簧的补偿功率,稳定关键负载电压和系统频率。最后,通过Matlab/Simulink仿真验证了所提控制策略的有效性。
Aiming at the voltage and frequency fluctuations caused by renewable energy generation in microgrid,a novel voltage and frequency control strategy of electric spring based on improved artificial fish swarm algorithm is proposed.The strategy chooses the key load voltage and system frequency as the control state variables,and suppresses the voltage and frequency fluctuations by real-time detecting the control state variables and minimizing the deviation of the state variables.In this paper,the adaptive artificial fish swarm algorithm is used to design the optimization module,and the weight coefficient is determined according to the dynamic error matrix generated by the state deviation.At the end of each update cycle,the optimized control signal of the eletric spring is fed back to the system,then the compensation power of the electric spring is adjusted online to stabilize the key load voltage and system frequency.Finally,the effectiveness of the proposed control strategy is verified by MATLAB/Simulink simulation.
作者
周建萍
邓玉君
茅大钧
胡成奕
叶剑桥
方乐
Zhou Jianping;Deng Yujun;Mao Dajun;Hu Chengyi;Ye Jianqiao;Fang Le(School of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《可再生能源》
CAS
北大核心
2019年第10期1472-1478,共7页
Renewable Energy Resources
基金
国家自然科学基金资助项目(61275038)
上海市“科技创新行动计划”地方院校能力建设专项项目(19020500700)
关键词
电力弹簧
频率控制
人工鱼群算法
动态误差矩阵
electric spring
frequency control
artificial fish swarm algorithm
dynamic error matrix
作者简介
周建萍(1978-),女,博士,副教授,研究方向为分布式发电与微电网技术。E-mail:zhoujianping@shiep.edu.cn.
