| 引用本文: | 汪 颖,李元聪,刘育权,等.配电网谐波源信息未知条件下的监测装置优化配置方法[J].电力系统保护与控制,2025,53(19):162-174.[点击复制] |
| WANG Ying,LI Yuancong,LIU Yuquan,et al.Optimal placement method for monitoring devices under unknown harmonic source information in distribution networks[J].Power System Protection and Control,2025,53(19):162-174[点击复制] |
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| 摘要: |
| 配电网非线性设备的广泛接入，导致多谐波源在网内共存，进行谐波治理的前提是通过安装监测装置以明确谐波信息。但是，在监测装置配置决策时，通常会面临配电网谐波源信息未知的场景。提出一种监测装置优化配置方法，兼顾谐波溯源精确性与配置经济性，实现在上述场景下的监测装置最优配置。首先，提出一种多场景谐波电流样本生成方法，构建计算量较低的节点谐波电流关联模型，实现快速、大量地生成谐波电流样本，解决谐波源信息未知状态下的样本缺失问题。其次，提出节点谐波源敏感度计算方法，解决多谐波源相互作用下节点关联性的刻画问题。再次，提出基于敏感度的监测装置配置方法，构建敏感度集中性与分散性约束条件，解决冗余配置问题。最后，基于IEEE33节点系统进行算例分析，结果显示该方法配置的监测装置数量仅占节点总数的21.8%，验证了其正确性和适用性。 |
| 关键词: 优化配置 支持向量回归 敏感度计算 数据生成 谐波溯源 |
| DOI：10.19783/j.cnki.pspc.241622 |
| 投稿时间：2024-12-13修订日期：2025-03-04 |
| 基金项目:国家重点研发计划项目资助(2023YFB2407600) |
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| Optimal placement method for monitoring devices under unknown harmonic source information in distribution networks |
| WANG Ying1,LI Yuancong1,LIU Yuquan2,XIAO Xianyong1,ZHANG Huaying3,CHEN Yunzhu1 |
| (1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China; 2. China Southern Power Grid Digital Grid
Research Institute, Guangzhou 510000, China; 3. Shenzhen Power Supply Bureau Co., Ltd., Shenzhen 518001, China) |
| Abstract: |
| The widespread integration of nonlinear equipment in distribution networks leads to the coexistence of multiple harmonic sources with the network. A prerequisite for harmonic mitigation is to obtain the harmonic information through the installation of power quality monitoring devices. However, when making decisions on the placement of monitoring devices, it is common to encounter scenarios where harmonic source information is unknown. This paper proposes an optimal placement method for monitoring devices that balances the accuracy of harmonic source identification and the cost-effectiveness of monitoring devices placement, thereby achieving optimal deployment under such conditions. First, a multi-scenario harmonic current sample generation method is proposed, which builds a low-complexity node harmonic current correlation model to enable rapid and large-scale generation of harmonic current samples, thereby addressing the problem of missing samples when harmonic source information is unavailable. Second, a node harmonic source sensitivity calculation method is presented to characterize node correlations under the interaction of multiple harmonic sources. Then, an optimal placement method for monitoring devices based on the proposed sensitivity index is introduced, incorporating centralized and decentralized sensitivity constraints to avoid redundant placements. Finally, case studies based on the IEEE33-bus system show that the number of monitoring devices configured by this method accounts for only 21.8% of the total nodes, verifying its correctness and applicability. |
| Key words: optimal placement support vector regression sensitivity calculation data generation harmonic source identification |
