通过静态无功补偿器的优化配置和运行,提高配电网的光伏装机容量

B. Ahmadi, O. Ceylan, A. Ozdemir
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引用次数: 2

摘要

本文提出了一种新的两阶段优化方法,用于静态无功补偿器的最优尺寸及其运行管理,以最大限度地提高配电系统的光伏集成容量。在第一阶段,确定固定尺寸光伏(PV)系统的最佳位置,以使总电压违规之和最小。在第二阶段,调整光伏机组的大小,确定SVC机组的最佳尺寸、数量、位置和运行策略,以最大限度地提高光伏托管容量。在这两个阶段中,都使用了Marine掠食者算法求解优化方程。在改进的33节点和141节点径向配电网上验证了所提方法和求解方法的性能。从最大托管容量的角度对结果进行了讨论,并在计算性能方面与灰狼优化算法和鲸鱼优化算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing photovoltaic hosting capacity in distribution networks by optimal allocation and operation of static var compensators
This paper presents a novel two-stage optimization approach for the optimal sizing of static var compensators and their operational management to maximize the photovoltaic integration capacity of distribution systems. In the first stage, the optimal locations for fixed size photovoltaic (PV) systems are determined to minimize the sum of total voltage violations. In the second phase, the size of the PV units are resized and the optimal size, number, location, and operating strategy of the SVC units are determined to maximize PV hosting capacity. In both phases, the Marine Predators algorithm is used for the solution optimization equations. The performance of the proposed approach and solution method is validated on modified 33-node and 141-node radial distribution networks. The results are discussed from the point of view of the maximum hosting capacity and compared with the Grey Wolf optimization and Whale Optimization algorithms in terms of computational performance.
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