Multi-stage optimization placement of DPMUs based on node metric indices

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-07-30 DOI:10.1016/j.segan.2024.101488
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Abstract

The proliferation of distributed energy resources and the introduction of new loads in distribution networks present significant challenges for monitoring and operation. To satisfy the enhanced observability and controllability requirements of modern distribution networks, there is an increasing demand for advanced monitoring devices. Distribution Network Phasor Measurement Units (DPMUs) offer high-precision measurement data with precise timestamps, thereby improving both the accuracy and redundancy of measurements within the distribution network.This paper introduces an optimization model for the strategic placement of PMUs within distribution networks, leveraging node metric indices. The indices considered are node degree, spatiotemporal correlation, and node power ratio. The relative importance of these indices is determined using an improved entropy weight method, which quantifies the differentiation of nodes within the network. This method facilitates the prioritized placement of DPMUs at critical nodes. The proposed model also incorporates constraints such as the depth of unobservability and zero injection nodes. Utilizing a 0–1 integer programming algorithm, the model derives a multi-stage optimal placement scheme for PMU placement. This scheme evolves from incomplete observability to critical observability and ultimately to full redundancy. Importantly, this approach allows for the monitoring of key nodes within the distribution network and enhances measurement redundancy without necessitating an increase in the number of placements.

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基于节点度量指数的 DPMU 多级优化布局
分布式能源资源的激增以及配电网络中新负载的引入,给监控和运行带来了巨大挑战。为满足现代配电网对可观测性和可控性的更高要求,对先进监控设备的需求日益增长。配电网相量测量单元(DPMU)可提供具有精确时间戳的高精度测量数据,从而提高配电网内测量的准确性和冗余性。考虑的指标包括节点度、时空相关性和节点功率比。这些指标的相对重要性是通过改进的熵权法确定的,该方法可量化网络内节点的差异。这种方法有助于在关键节点优先放置 DPMU。所提出的模型还纳入了不可观测深度和零注入节点等约束条件。利用 0-1 整数编程算法,该模型得出了 PMU 布置的多阶段优化布置方案。该方案从不完全可观测性发展到临界可观测性,最终达到完全冗余。重要的是,这种方法允许对配电网络中的关键节点进行监控,并在无需增加安置数量的情况下增强了测量冗余度。
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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