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Techno-economic analysis-based optimal incorporation of distributed energy resources in distribution network under load uncertainty

机译:基于技术经济分析的载荷不确定性分布网络中分布式能源的最优结合

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This paper addresses optimal incorporation of various distributed energy resources (DERs), ie wind, solar and electric vehicles (EVs), in distribution system for the purpose of minimisation of total real power loss, total cost and emissions produced from grid simultaneously. To achieve these proposed objectives and benefits, a multi-objective function has been formulated. In this study, various mathematical models of DERs have been used for analysing the impact on distribution system under uncertain load demand for 24 h. In addition, the charging/discharging concept of EVs during off-peak/peak hours of the grid has also been taken into consideration. This non-linear and non-convex optimisation task has been solved through Gbest-guided Artificial Bee Colony optimisation technique because of its robustness. However, from the obtained numerical outcomes through the proposed technique, it is observed that the integration of DERs is capable of reducing total real power loss, total cost and emissions to a great extent.
机译:本文解决了各种分布式能源(DERS),即风,太阳能电动车(EVS)的最佳融合,以便最大限度地减少总实际功率损耗,同时从电网生产的总成本和排放量。为实现这些拟议的目标和福利,已制定了多目标函数。在这项研究中,DER的各种数学模型已被用于分析24小时的不确定负载需求下对分配系统的影响。此外,还考虑了电网的峰值/峰值小时数期间EV的充电/放电概念。由于其坚固性,这种非线性和非凸优化任务通过GBEST引导的人工蜂殖民地优化技术解决了。然而,通过所获得的数值结果通过所提出的技术,观察到DER的整合能够在很大程度上降低总实体功率损耗,总成本和排放。

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