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首页> 外文期刊>Advances in Electrical and Computer Engineering >A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC Algorithm
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A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC Algorithm

机译：ABC算法的可观测性和测量冗余性的多目标PMU放置方法

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This paper presents a Multi- objective Optimal Placement of Phasor Measurement Units (MOPP) method in large electric transmission systems. It is proposed for minimizing the number of Phasor Measurement Units (PMUs) for complete system observability and maximizing the measurement redundancy of the system, simultaneously. The measurement redundancy means that number of times a bus is able to monitor more than once by PMUs set. A higher level of measurement redundancy can maximize the total system observability and it is desirable for a reliable power system state estimation. Therefore, simultaneous optimization of the two conflicting objectives are performed using a binary coded Artificial Bee Colony (ABC) algorithm. The complete observability of the power system is first prepared and then, single line loss contingency condition is considered to the main model. The efficiency of the proposed method is validated on IEEE 14, 30, 57 and 118 bus test systems. The valuable approach of ABC algorithm is demonstrated in finding the optimal number of PMUs and their locations by comparing the performance with earlier works.
机译：本文提出了一种在大型输电系统中的相量测量单元多目标最优布置方法。为了最大程度地减少对相量测量单元（PMU）的数量，提出了完整的系统可观察性，同时又使系统的测量冗余最大化。测量冗余意味着通过设置的PMU，总线能够监视一次以上的次数。更高级别的测量冗余可以使整个系统的可观察性最大化，并且需要可靠的电力系统状态估计。因此，使用二进制编码的人工蜂群（ABC）算法对两个冲突目标同时进行优化。首先准备电力系统的完整可观测性，然后将主模型考虑单线损耗应急条件。该方法的效率在IEEE 14、30、57和118总线测试系统上得到了验证。通过将性能与早期工作进行比较，在找到最佳数量的PMU及其位置时，证明了ABC算法的宝贵方法。

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