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Optimum Planning of Renewable Energy Resources in Conjunction with Battery Energy Storage Systems

机译:与电池储能系统一起可再生能源资源的最佳规划

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The immense deployment of renewable energy resources (RES) have gained significant interest in distribution networks, which creates great challenges for distribution network planners and operators. One way of mitigating such challenges is to combine the integration of RES with energy storage systems (ESS). However, appropriate combination of both RES and ESS requires new planning methodologies in distribution networks that take into account the special features and characteristics of such new resources i.e. RES and ESS. To that end, this paper presents a new algorithm for optimum planning of RES in conjunction with Battery ESS (BESS) in distribution networks. The objective of the proposed planning algorithm aims to minimize the overall capital and operational costs. The proposed formulation of the planning problem takes into account the implementation of smart inverters control to optimally schedule the active and reactive power outputs of RES and BESS units. Further, several technical constraints are taken into consideration, including maximum reverse power at the substation, maximum number of RES connections, voltage technical limits, and thermal limits of cables and overhead lines. The formulated problem has been solved using a combination between metaheuristic technique and deterministic technique. Several case studies have been carried out to test the effectiveness of the proposed planning methodology.
机译:可再生能源(RES)的巨大部署在分销网络中取得了重大兴趣,这为分销网络规划者和运营商带来了巨大挑战。减轻这种挑战的一种方法是将RES与能量存储系统(ESS)的集成相结合。然而,res和ess的适当组合需要在分销网络中的新规划方法,以考虑这种新资源的特殊特征和特征。res和ess。为此,本文介绍了一种新的分销网络中的电池(BESS)的最佳规划算法。拟议规划算法的目的旨在最大限度地减少整体资本和业务成本。建议的规划问题的制定考虑了智能逆变器控制的实施,以最佳地安排RES和BESSS单元的主动和无功功率输出。此外,考虑了几种技术限制,包括变电站的最大反向功率,最大res连接,电压技术限制和电缆和架空线的热限制。使用成群质技术与确定性技术之间的组合来解决了配制的问题。已经进行了几种案例研究以测试所提出的规划方法的有效性。

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