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Simultaneous Placement of PMUs and Communication Infrastructure in WAMS using NSGA-II

机译:使用NSGA-II在WAMS中同时放置PMU和通信基础结构

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摘要

A wide-area measurement system process consists of three interconnected layers: data acquisition, data transmitting, and data processing. These functions are performed by measuring devices, communication systems, and energy management systems, respectively. Quite often these three mutually dependent functions have been studied independently by a number of researchers. However, phasor measurement unit (PMU) placement problem needs to be solved by optimizing the three objectives, namely minimizing the installation cost of PMUs, maximizing the measurements redundancy, and their required communication infrastructure simultaneously by ensuring complete power system network observability. In the present work, this task has been accomplished using non-dominating sorting genetic algorithm-II. The Pareto-optimal solutions are obtained using the non-dominated sorting and crowding distance criterion. Subsequently, a decision-making procedure based on technique for order preference by similarity to ideal solution method is employed to determine the best conciliation solution from the set of Pareto-optimal front. The effectiveness and flexibility of the proposed algorithm have been tested on IEEE 14-bus, IEEE 30-bus, IEEE 57-bus, 75-bus Indian, and polish 2383-bus systems.
机译:广域测量系统过程由三个相互关联的层组成:数据采集,数据传输和数据处理。这些功能分别由测量设备,通信系统和能源管理系统执行。这三个相互依赖的功能经常被许多研究人员独立研究。但是,相量测量单元(PMU)的放置问题需要通过优化三个目标来解决,即最小化PMU的安装成本,最大化测量冗余以及通过确保完整的电力系统网络可观察性同时满足其所需的通信基础设施。在目前的工作中,该任务已使用非主导排序遗传算法-II完成。使用非支配的排序和拥挤距离准则获得帕累托最优解。随后,采用基于与理想解法相似的顺序偏好技术的决策程序,从帕累托最优前沿集合中确定最佳调解。该算法的有效性和灵活性已在IEEE 14总线,IEEE 30总线,IEEE 57总线,75总线印度和波兰2383总线系统上进行了测试。

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