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Normal Boundary Intersection for Generating Pareto Set in Distributed Generation Planning

机译:用于在分布式生成规划中生成帕累托的正常边界交叉点

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Distributed generation (DG) and its planning are increasingly becoming more important in the power system for its advantages. This paper presents a distributed generation planning strategy based on multi-objective optimization approach. The main goal of this paper is to generate Pareto set of location and size of new DG units by minimizing different cost functions and considering the technical aspects as constraints. This Pareto set will help planners of the distribution system to make a better decision. The objectives of proposed method are cost of investment and operation, cost of energy purchased, cost of energy losses and cost of energy not supplied which are considered in this paper. Several case studies are presented in this paper to assess the ability of the proposed method for generating Pareto set. A trade off analysis is also occurred between different parameters to assess the sensitivity of planning result into varying of parameters.
机译:分布式发电(DG)及其规划越来越多地在电力系统中变得更加重要。本文介绍了基于多目标优化方法的分布式生成规划战略。本文的主要目标是通过最大限度地降低不同的成本函数并将技术方面视为约束来生成新DG单位的帕累托位置和大小。这个帕累托集将帮助分销系统的规划者做出更好的决定。所提出的方法的目标是投资和运营的成本,购买的能源成本,能量损失成本和未提供的能源成本,在本文中考虑。本文提出了几种案例研究,以评估所提出的方法生成帕累托集的能力。在不同参数之间也发生了贸易关闭分析,以评估规划结果变化参数的敏感性。

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