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基于PageRank改进算法的移相器最优选址方法研究 被引量:1

Research on Optimal Location Method of Phase Shifter Based on Improved PageRank Algorithm
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摘要 为解决现有电网正常运行工况下线路易过载的问题,移相器作为一种典型的经济性潮流控制装置在现代电力系统中逐步得到推广和应用。然而,受移相器控制潮流的特性的影响,需要在电网中找出其最优安装位置,为此,提出一种基于PageRank改进算法的移相器最优选址方法。PageRank的改进算法能够较好地考虑网络全局信息,利用该算法能够辨识出电力系统中易过载、易堵塞的关键线路,并结合移相器灵敏度系数再针对上述关键线路找出移相器备选安装线路,进而利用遗传算法在上述备选安装线路中进行移相器的最终选址优化。该算法利用BPA软件与MATLAB数据交互,适用于大规模电网模型。最后,将所提方法应用于广东电网进行移相器的最优选址研究,并与BPA的仿真计算结果相校核,结果验证了所提方法的可行性和准确性。 In order to solve the problem that the lines are easily overloaded under the normal operating condition of the existing power grid,the phase shifter,as a typical economic power flow control device,has gradually been popularized and applied in modern power systems.However,affected by the characteristics of the phase shifter for power flow control,it s necessary to find its optimal installation location.Therefore,this paper proposes an optimal addressing method for the phase shifter based on an improved PageRank algorithm.The improved PageRank algorithm,which can better consider the global information of the grid,not only identifies the critical lines in the system that are prone to overload or congest,but also finds out the alternative installation locations for the above critical lines by using the sensitivity coefficient of the phase shifter.And then,a genetic algorithm is used to search the optimal location of the phase shifter in the selected alternative installation lines.This algorithm is suitable for large-scale power grid model by combining BPA package and MATLAB in a way of interactive operation.Finally,this method is applied to investigate the most optimal location for the phase shifter of the actual power grids in Guangdong province,and the results,compared with the outcomes of BPA simulations,verify its feasibility and accuracy.
作者 李峰 李作红 余梦泽 刘若平 付康 杜兆斌 LI Feng;LI Zuohong;YU Mengze;LIU Ruoping;FU Kang;DU Zhaobin(Grid Planning&Research Center Guangdong Power Grid Co.,Ltd.,Guangzhou,Guangdong 510080,China;School of Electric Power Engineering,South China University of Technology,Guangzhou,Guangdong 510641,China;Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System,Guangzhou,Guangdong 510663,China)
出处 《广东电力》 2022年第5期42-52,共11页 Guangdong Electric Power
基金 中国南方电网有限责任公司科技项目(037700KK52190015(GDKJXM20198313)) 广东省重点领域研发计划项目(2019B111109001)。
关键词 移相器 优化选址 改进PageRank算法 关键线路识别 phase shifter location optimization improved PageRank algorithm key line identification
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