基于MC-MSDARL和PSO-BA的直流换流站无功控制优化方法  

Optimization method for reactive power control of DC converter stations based on MC-MSDARL and PSO-BA

作　　者：黄松强 陈明佳[1] 杨海亮 孙上元 王永平[2] 王杨正[2] HUANG Songqiang;CHEN Mingjia;YANG Hailiang;SUN Shangyuan;WANG Yongping;WANG Yangzheng(Liuzhou Bureau of EHV Transmission Company,China Southern Power Grid Co.,Ltd.,Liuzhou 545006,China;NR Electric Co.,Ltd.,Nanjing 211102,China)

机构地区：[1]中国南方电网有限责任公司超高压输电公司柳州局,广西柳州545006 [2]南京南瑞继保电气有限公司,江苏南京211102

出　　处：《电力科学与技术学报》2024年第6期43-52,共10页Journal of Electric Power Science And Technology

基　　金：中国南方电网有限责任公司科技项目(CGYKJXM20220102)。

摘　　要：随着直流输电工程规模的不断扩大,交直流互联系统给电网暂态电压恢复带来了一定的挑战。为了解决换流站受电压波动影响导致换流变分接开关频繁动作的问题,提出一种基于多通道融合、多尺度动态自适应残差学习(multi channel fusion and multi-scale dynamic adaptive residual learning,MC-MSDARL)和粒子群蝙蝠算法(particle swarm optimization-bat algorithm,PSO-BA)的直流换流站无功控制优化方法。首先,开展换流站暂态过压特性研究,分析交流滤波器、无功补偿设备以及调相机对暂态过压的影响;然后,通过多尺度动态自适应残差卷积方式动态自动更新卷积核大小,提高模型学习能力,映射直流系统运行状态和电压稳定的关系,构建电压暂态稳定预测模型;最后,建立减小电压波动和降低网络损耗的直流换流站无功控制优化模型,利用PSO-BA进行模型求解。通过PSASP搭建直流电网进行仿真验证,实验结果表明,所提方法提高了电压暂态稳定能力,有效解决了换流变分接开关频繁动作的问题。As the scale of direct current(DC)transmission projects continues to expand,the alternating current(AC)-DC interconnection system has brought certain challenges to the transient voltage recovery capability of the power grid.In order to reduce frequent operations of tap changers of converter transformers caused by voltage fluctuations in converter stations,an optimization method for reactive power control of DC converter stations based on multi-channel fusion and multi-scale dynamic adaptive residual learning(MC-MSDARL)and particle swarm optimization-bat algorithm(PSO-BA)is proposed.Firstly,research is conducted on the transient overvoltage characteristics of the converter stations,and the impact of AC filters,reactive power compensation equipment,and phase-shifting cameras on transient overvoltage is analyzed.Then,the multi-scale dynamic adaptive residual convolution method is used to dynamically update the size of the convolution kernel,improve the model’s learning ability,map the relationship between the operating state of the DC system and voltage stability,and construct a transient voltage stability prediction model.Finally,an optimization model for reactive power control of DC converter stations is established to reduce voltage fluctuations and network losses,and the PSO-BA is used to solve the model.PSASP is employed to build a DC power grid for simulation verification,and the experimental results show that the proposed method improves the transient voltage stability capability and effectively reduces frequent operations of tap changers of converter transformers.

关 键 词：直流输电工程 换流站 卷积神经网络 粒子群蝙蝠算法 无功控制 

分 类 号：TM723[电气工程—电力系统及自动化]