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首页> 外文期刊>IEEJ Transactions on Electrical and Electronic Engineering >Optimal allocation of DSTATCOM considering the uncertainty of photovoltaic systems
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Optimal allocation of DSTATCOM considering the uncertainty of photovoltaic systems

机译:DSTATCOM的最佳分配考虑了光伏系统的不确定性

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摘要

Rational allocation of the distribution static compensator (DSTATCOM) can effectively solve the impact of high penetration of photovoltaic (PV) systems on an active distribution network. Taking the intermittent output of a PV system into consideration, this paper establishes an optimal allocation model of DSTATCOM, in which active power loss, voltage deviation, and total allocation cost are considered as the objective functions. Monte Carlo simulation (MCS) is employed to simulate the random output of PV. Moreover, an opportunity constraint is introduced into the optimal model to evaluate the reliability of the allocation scheme. Multiobjective differential evolution gray wolf optimization (MODEGWO) is proposed to determine the optimal location and capacity of the DSTATCOM. A new optimization method integrating MCS, opportunity constraint, and MODEGWO is proposed to deal with the optimal allocation model of DSTATCOM. The proposed method is validated on an IEEE 33‐bus system. Simulation results confirm the rationality and validity of the proposed model. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
机译:分布静态补偿器(DSTATCOM)的合理分配可以有效地解决光伏(PV)系统对活动分布网络的高渗透的影响。考虑到PV系统的间歇性输出,本文建立了DSTATCOM的最佳分配模型,其中主动功率损失,电压偏差和总分配成本被视为目标函数。蒙特卡洛模拟(MCS)用于模拟PV的随机输出。此外,将机会限制引入了最佳模型,以评估分配方案的可靠性。提出了多目标差异进化灰狼优化(MODEGWO),以确定DSTATCOM的最佳位置和容量。提出了一种集成MC,机会约束和现代的新优化方法,以处理DSTATCOM的最佳分配模型。提出的方法在IEEE 33 -BUS系统上进行了验证。仿真结果证实了所提出模型的合理性和有效性。 ©2019日本电气工程师研究所。由John Wiley&amp出版Sons,Inc。

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