[1]侯国莲,郭雅迪,弓林娟.基于灰狼优化算法的多源互联电力系统负荷频率控制[J].郑州大学学报(工学版),2019,40(05):51-57.
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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()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
40
期数:
2019年05期
页码:
51-57
栏目:
出版日期:
2019-09-20

文章信息/Info

作者:
侯国莲郭雅迪弓林娟
华北电力大学控制与计算机工程学院,北京
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
Keywords:
renewable energy multi-source power grey wolf optimization ( GWO ) load frequency control optimal control
文献标志码:
A
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.
Abstract:
With the rapid development of interconnected power systems and the large-scale intervention of re�1Fnewable energy, power systems were characterized by interconnectedness and multiple sources. In this circum�1Fstance ,the study in this paper began with the actual needs of multi-source interconnected power system. First�1Fly, a four-area multi-source interconnected power system with the participation of fire, water, gas and renew�1Fable 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 intercon�1Fnected system or the switching power of the tie-line.
更新日期/Last Update: 2019-10-26