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Multi-objective planning of electrical distribution systems incorporating shunt capacitor banks

机译:包含并联电容器组的配电系统的多目标规划

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The paper presents a multi-objective planning approach for electrical distribution systems incorporating shunt capacitor banks. In this planning, the number of feeders, feeder routes, and number, locations, and rating of shunt capacitor banks for a distribution system are determined using a multi-objective optimization approach. The objectives considered for this optimization are: (i) total investment cost minimization, (ii) network reliability maximization, (iii) minimization of network power loss, and (iv) minimization of node voltage deviation. The last three objectives are aggregated into a single objective, named as network performance metric. This objective and the first objective are simultaneously optimized to obtain a set of non-dominated solutions. The solution algorithm is Multi-objective particle swarm optimization (MOPSO). Three different MOPSO variants are used and their performances are compared. The result of this planning approach is compared with that of the planning without capacitor banks. The proposed planning approach is validated on a 54-node distribution system planning problem.
机译:本文提出了一种包含并联电容器组的配电系统的多目标规划方法。在此规划中,使用多目标优化方法确定配电系统的馈线数量,馈线路线以及并联电容器组的数量,位置和额定值。该优化考虑的目标是:(i)最小化总投资成本,(ii)最大化网络可靠性,(iii)最小化网络功率损耗,以及(iv)最小化节点电压偏差。最后三个目标汇总为一个目标,称为网络性能指标。同时优化该目标和第一目标以获得一组非支配的解决方案。解决方案算法是多目标粒子群优化(MOPSO)。使用了三种不同的MOPSO变体,并比较了它们的性能。将这种计划方法的结果与没有电容器组的计划的结果进行了比较。在一个54节点的配电系统计划问题上验证了所提出的计划方法。

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