A Multi-Objective Allocation Approach for Power Quality Monitoring Devices

A Multi-Objective Allocation Approach for Power Quality Monitoring Devices
复制标题

电能质量监测装置的多目标分配方法

DOI:
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发表时间:
2019
期刊:
影响因子:
3.9
通讯作者:
Fatema Aseeri
Fatema Aseeri
中科院分区:
计算机科学3区
文献类型:
--
作者:
M. Shaaban;A. Osman;Fatema Aseeri

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随着智能电网的出现和可再生能源的日益整合,电力系统的连续监测对于监测电能质量(PQ)和加快故障定位变得越来越重要。为了实现100%的可观测性而优化PQ监测设备的分配是任何电力系统规划所面临的最重要的设计问题之一。然而,对于智能配电网(SDN),实现100%可观测性的成本过高。因此,为了实现经济高效的监控,SDN规划者可以牺牲一定比例的系统可观测性。为此,本文提出了一种多目标优化方法分配的PQ监测设备的目的是最大限度地减少两个相互冲突的目标,即成本和系统中的可观测性的损失。所提出的方法利用分支和减少为基础的非线性规划全局求解器,最大限度地减少这两个目标。首先对平衡系统进行分析,然后扩展到不平衡系统。为了验证所提出的方法的性能,它被应用到不同的标准系统。实验结果证明了该方法的有效性。
With the inception of smart grids and the increased integration of renewable resources, the continuous monitoring of power systems becomes increasingly important to monitor power quality (PQ) and speed up the localization of faults. The optimal allocation of PQ monitoring devices to achieve 100% observability is one of the most important design problems that face the planning of any power system. However, for smart distribution networks (SDNs), the cost of achieving 100% observability is exorbitant. Therefore, for cost-effective monitoring, the SDN planers can sacrifice a percentage of the system observability. To that end, this paper proposes a multi-objective optimization approach for allocating the PQ monitoring devices with the aim of minimizing two conflicting objectives, namely, the cost and the loss of observability in the system. The proposed approach utilizes branch-and-reduce-based nonlinear programming global solver that minimizes both objectives. The analysis is first carried out for balanced systems and later extended to unbalanced systems. To validate the performance of the proposed approach, it is applied to different standard systems. The obtained results prove the effectiveness of the proposed approach.