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Simultaneous optimisation of photovoltaic hosting capacity and energy loss of radial distribution networks with open unified power quality conditioner allocation

机译:通过开放式统一电能质量调节器分配,同时优化光伏承载能力和径向配电网的能量损耗

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This study presents a multi-objective planning approach to optimally place open unified power quality conditioner (UPQC-O) by simultaneously optimising the photovoltaic (PV) hosting capacity (PVHC) and energy loss of distribution networks. The modelling of UPQC-O consisting of a series and a shunt inverter is carried out so as to place in distribution networks. The Pareto-dominance-based approach is used to simultaneously optimise the objective functions to determine the optimal PV generation capacity in each bus and the locations of the inverters of UPQC-O. The limits on bus voltage magnitude, line current flow, maximum PV generation capacity in each bus, and the percentage of voltage sag mitigated load are considered to be the operational constraints in this planning problem. The solution strategy used is the multi-objective particle swarm optimisation. The approach provides the Pareto-approximation set consisting of a number of trade-off solutions in view of PVHC and energy loss. A utility can choose a solution for implementation depending on its desired PVHC and/or energy loss level. The results show that the PV deployment in distribution networks reduces the energy loss. However, the amount of energy loss reduction diminishes with higher and higher values of PV capacity integration.
机译:这项研究提出了一种多目标规划方法,通过同时优化光伏(PV)承载能力(PVHC)和配电网络的能量损耗,来优化放置开放式统一电能质量调节器(UPQC-O)。对由串联和并联逆变器组成的UPQC-O进行建模,以便放置在配电网络中。基于帕累托优势的方法用于同时优化目标函数,以确定每条母线和UPQC-O逆变器位置的最佳PV发电量。总线电压大小,线路电流,每条总线中的最大PV发电能力以及电压骤降缓解的负载百分比的限制被视为此规划问题中的操作约束。使用的解决方案策略是多目标粒子群优化。考虑到PVHC和能量损失,该方法提供了由许多折衷解决方案组成的帕累托逼近集。公用事业可以根据其所需的PVHC和/或能量损失水平选择实施方案。结果表明,在配网中部署PV可以减少能量损失。然而,随着越来越多的PV容量积分值,能量损失的减少量会减少。

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