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基于灰狼优化算法的多源互联电力系统负荷频率控制 被引量:3

Load Frequency Control of Multi-source Power System Based on Grey Wolf Optimization
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摘要 随着互联电力系统的快速发展和可再生能源的大规模介入,电力系统呈现出互联和多源的特点.基于这一情况,从多源互联电力系统的实际需求出发,首先建立含有火、水、气以及可再生能源参与的四区域多源互联电力系统,然后针对可再生能源发电过程的随机性和波动性,采用基于灰狼优化算法的PID控制器进行负荷频率控制,以快速抑制频率波动.仿真结果表明,在不同的扰动情况下,无论是对于互联系统的频率偏差还是联络线的交换功率偏差,本文所采取的控制器均能取得良好的控制效果和鲁棒性. With the rapid development of interconnected power systems and the large-scale intervention of renewable energy, power systems were characterized by interconnectedness and multiple sources. In this circumstance, the study in this paper began with the actual needs of multi-source interconnected power system. Firstly, a four-area multi-source interconnected power system with the participation of fire, water, gas and renewable energy was established and each area contained more than one form of power generation. Then, aiming at the randomness and fluctuation of renewable energy generation process, the load frequency was controlled by the grey wolf optimization (GWO) algorithm based PID controller to stabilize the frequency fluctuation quickly. Finally, the simulation results showed that the proposed controller could achieve good control effect and show strong robustness under different disturbances, regardless of the frequency deviation of the interconnected system or the switching power of the tie-line.
作者 侯国莲 郭雅迪 弓林娟 HOU Guolian;GUO Yadi;GONG Linjuan(School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)
出处 《郑州大学学报(工学版)》 CAS 北大核心 2019年第5期51-57,共7页 Journal of Zhengzhou University(Engineering Science)
基金 国家自然科学基金资助项目(61603136) 中央高校基本科研业务费专项资金资助(2019JG004)
关键词 可再生能源 多源互联电力系统 灰狼优化算法 负荷频率控制 优化控制 renewable energy multi-source power grey wolf optimization(GWO) load frequency control optimal control
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