一种利用BPSO算法在有功低压配电网中布设电表的方法

M. Armendariz, D. Babazadeh, L. Nordström, M. Barchiesi
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引用次数: 12

摘要

本文提出了一种分配系统操作员(DSO)在中压/低压(MV/LV)变电站和一些低压电缆配电柜中优化放置传感器的方法。该方法旨在提高对低压配电网状态的估计。该方法提出了一个多目标优化问题,以确定最优仪表放置配置。该公式最大限度地减少了低电压状态估计误差和与特定仪表部署配置相关的成本。该方法采用二元粒子群算法(BPSO)来解决优化问题,并在基于cigr LV基准网格的网络上进行了测试。仿真结果表明,该方法既适用于智能电表测量,也适用于非智能电表测量。在后一种情况下,测量值被伪测量值所取代,伪测量值通过使用智能电表历史数据和预测模型来表示电表读数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method to place meters in active low voltage distribution networks using BPSO algorithm
This paper proposes a method to be used by a Distribution System Operator (DSO) to optimally place sensors at medium voltage/ low voltage (MV/LV) substation and some low voltage cable distribution cabinets. This method aims to improve the estimation of the grid states at low voltage distribution networks. This method formulates a multi-objective optimization problem to determine the optimal meter placement configuration. This formulation minimizes the low voltage state estimation error and the cost associated to a particular meter deployment configuration. The method uses Binary Particle Swarm Optimization (BPSO) to solve the optimization problem and it has been tested on a network based on the Cigré LV benchmark grid. The simulation results show that the method can be applied to both situations where smart meter measurements are available and situations where they are not. In the latter situation the measurements are replaced by pseudo-measurements, which represent meter readings by using smart meter historical data and prediction models.
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