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交流电压分区协调控制方法的设计与仿真

Design and Simulation of AC Voltage Zoning Coordinated Control Method
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摘要 交流电压大小和方向均随时间改变,当出现电力超负荷情况时,母线电压频率会偏离正常值。由于交流配电各区域耦合程度较强,电压的协调控制难度较大。提出基于鱼群算法的交流电压分区协调控制方法。引入鱼群算法,根据该算法的计算步骤和全局寻优方式,在电力超负荷情况下选择电压控制方式,进而计算出有功调节量或无功调节量。利用鱼群算法不断更新控制结果,得出最优调节量,实现交流电压分区的协调控制。实验结果表明了所提方法下交流电压的连通性高、协调控制平衡性更高,且电压补偿增益高,电压偏差问题的改善效果明显。 The magnitude and direction of AC voltage change with time.In case of power overload,the bus volt-age frequency will deviate from the normal value.Due to the strong coupling degree of each area of AC distribution,the coordinated control of voltage is difficult.An AC voltage zoning coordinated control method based on fish swarm algorithm is proposed.The fish swarm algorithm is introduced.According to the calculation steps and global optimiza-tion mode of the algorithm,the voltage control mode was selected in the case of power overload,and then the active power regulation or reactive power regulation was calculated.The fish swarm algorithm was used to continuously up-date the control results,obtain the optimal regulation,and realize the coordinated control of AC voltage zoning.The experimental results show that the proposed method has high AC voltage connectivity,higher coordinated control bal-ance,high voltage compensation gain and obvious improvement effect on voltage deviation.
作者 高波 高明明 和红梅 王志勇 GAO Bo;GAO Ming-ming;HE Hong-mei;WANG Zhi-yong(Department of Electrical Engineering,Hebei University of Water Resources and Electric Engineering,Hebei Cangzhou 061001,China;The Automation and Information Application Technology R&.D Center of Water Conservancy in the University of Hebei Province,Hebei Cangzhou 061001,China;School of Electronic and Information Engineering,Liaoning Technical University,Liaoning Huludao 125105,China)
出处 《计算机仿真》 北大核心 2023年第5期150-153,161,共5页 Computer Simulation
基金 国家自然科学基金项目(61701211) 河北省高等学校科学研究计划项目(QN2020187) 北京市科技计划项目(Z201100005820010) 辽宁工程技术大学横向课题(21-2067) 河北省沧州市科技项目(183104001、204101016) 河北水利电力学院基本科研业务费专项资金资助(SYKY2108、SYKY2109)。
关键词 电力负荷 鱼群算法 觅食行为 协调控制 电力调节量 Power load Fish swarm algorithm Foraging behavior Coordinated control Power regulation quantity
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