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A Decision Support Framework for Resilience-Oriented Cost-Effective Distributed Generation Expansion in Power Systems

机译:电力系统中以弹性为基础的经济有效的分布式发电扩展的决策支持框架

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Resilience of electricity grids to rare but severely disruptive events, such as natural disasters, has emerged in recent years as the most important aspect in power system planning. This paper presents a novel approach to enhance the resilience of a system by leveraging the distributed nature of solar photovoltaic (PV) and battery energy storage system (BESS) resources. The proposed decision-making framework uses analytic hierarchy process (AHP) to evaluate different possible allocations of PV and BESS resources for multiple contingencies based on resilience enhancement and cost. The trade-off between cost and resilience is modeled via cost-effectiveness analysis (CEA) that indicates the preferability of each allocation plan. The main contribution of this paper is the development of an adaptable and computationally feasible decision support framework to determine costeffective configurations of PV arrays and BESSs for mitigating the effects of transmission line outage contingencies. To evaluate the proposed framework, a case study is carried out on the IEEE 33-bus radial distribution system. The results show that the proposed method can offer effective guidance to the planner for making informed decisions about spending resources and achieving cost-effective resilience enhancement.
机译:近年来,电网已具备了应对罕见但严重破坏性事件(例如自然灾害)的能力,这是电力系统规划中最重要的方面。本文提出了一种利用太阳能光伏(PV)和电池能量存储系统(BESS)资源的分布式特性来增强系统弹性的新颖方法。所提出的决策框架使用层次分析法(AHP)基于弹性增强和成本评估多种突发情况下PV和BESS资源的不同可能分配。成本和弹性之间的权衡是通过成本效益分析(CEA)建模的,该成本效益分析表明了每个分配计划的可取性。本文的主要贡献是开发了一种适应性强且计算上可行的决策支持框架,用于确定具有成本效益的PV阵列和BESS的配置,以减轻传输线意外事故的影响。为了评估提出的框架,在IEEE 33总线径向分配系统上进行了案例研究。结果表明,所提出的方法可以为规划者提供有效的指导,以使其做出有关支出资源的明智决策,并实现具有成本效益的弹性增强。

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