首页|基于相量测量单元优化配置的配电网谐波状态估计研究

基于相量测量单元优化配置的配电网谐波状态估计研究

扫码查看
原文链接
  • 万方数据
  • 维普
随着大量电力电子设备的接入,配电网谐波问题愈发严重.谐波状态估计的准确性直接影响到后续的谐波治理效果.相量测量单元(phasor measurement unit,PMU)可以实时测量节点电压与支路电流,可借助其实现谐波状态估计.然而目前PMU价格较高,如何进行合理的优化配置保证全网谐波状态可观,同时提高谐波状态估计的准确性,是亟待解决的问题.首先构建以PMU经济配置和谐波状态估计精度最高为目标的PMU优化配置模型,并提出一种改进二进制粒子群-遗传混合算法用于求解.随后在实时仿真器中搭建IEEE14节点模型,选用均值插补法以及Vondrak滤波法进行数据处理并分析了优化所得多种PMU配置场景对谐波状态估计的影响.结果表明:所提算法从减少投资成本及降低谐波状态估计误差角度考虑,能够给出合理的PMU配置方案,有助于支撑工程决策.
Harmonic State Estimation of Distribution Network Based on Optimal PMU Placement
Along with the increase of a massive number of power electronic equipment,the problem of harmonics in the distribution network is becoming increasingly serious.The accuracy of harmonic state estimation directly affects the subsequent harmonic control effect.The phasor measurement unit(PMU)can measure the node voltage and branch current in real time,and can be used to estimate the harmonic state.However,at present,the price of PMU is truly high.How to carry out reasonable optimization placement to ensure that the harmonic state of the whole distribution network is considerable,while reduce errors of harmonic state estimation,is an urgent problem to be solved.Firstly,a PMU optimal configuration model with the highest accuracy of PMU economic configuration and harmonic state estimation accuracy was constructed,and an improved binary particle swarm-genetic mixing algorithm was proposed for solving.Then,the IEEE14 node model was built in the real-time simulator.The mean interpolation method and Vondrak filter method were used for data processing and the influence of optimized PMU configuration scenarios on harmonic state estimation was analyzed.The results show that the proposed algorithm can give a reasonable PMU configuration scheme from the perspective of reducing investment cost and reducing harmonic state estimation error,which is helpful to support engineering decision-making.

harmonic observabilityoptimal phasor measurement unit(PMU)placementbinary particle swarm optimization-genetic algorithm(BPSO-GA)hybrid algorithmharmonic state estimation

韩茂岳、尹忠东、沈子伦、付瑜、汪泽州

展开 >

华北电力大学电气与电子工程学院,北京 102206

国网浙江省电力有限公司海盐县供电公司,海盐 314000

谐波可观性 相量测量单元(PMU)优化配置 二进制粒子群-遗传(BPSO-GA)混合算法 谐波状态估计

国家电网科技项目

5400-202319202A-1-1-ZN

2024

10.12404/j.issn.1671-1815.2305216

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子：0.338
ISSN：1671-1815
年,卷(期)：2024.24(8)
  • 27