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Analysis of the Impacts of Distributed Generation Sources considering the Appropriate Choice of Parameters in a Multi-objective Approach for Distribution System Planning

机译:Analysis of the Impacts of Distributed Generation Sources considering the Appropriate Choice of Parameters in a Multi-objective Approach for Distribution System Planning

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Presence of the distributed generation (DG) in electric systems can represent a significant impact on the operational characteristics of distribution networks. This paper presents a study aimed at the appropriate choice of parameters used in a multi-objective analysis considering the optimal DG placement. Thus, this paper develops a multi-objective approach to define qualitative and quantitative parameters using the fuzzy logic and the Bellman-Zadeh algorithm to determine optimal DG location in distribution systems. Therefore, this study allows the energy supplying companies may guarantee an appropriate selection of their own parameters according to an optimal DG location. This also allows a structural rethinking of the electric utility, diversifying and deploying electrical energy sources at many generation sites, thus providing increased planning flexibilities. These locations are determined both for the distribution system feeders, as well as for nodes inside of a given feeder. Considerations and results described in this paper are part of the Research & Development Program developed by the State Company of Electric Energy (CEEE) and the Federal University of Santa Maria (UFSM), Brazil.
机译:电气系统中的分布生成(DG)的存在可以代表对分配网络的操作特性的显着影响。 This paper presents a study aimed at the appropriate choice of parameters used in a multi-objective analysis considering the optimal DG placement.因此,本文开发了一种多目标方法来使用模糊逻辑和贝尔曼-Zadeh算法来确定定性和定量参数,以确定分配系统中的最佳DG位置。 Therefore, this study allows the energy supplying companies may guarantee an appropriate selection of their own parameters according to an optimal DG location.这还允许在许多生成网站上进行电效用,多样化和部署电能来源的结构重新思考,从而提供了增加的规划灵活性。针对配电系统馈送器以及给定进料器内部的节点确定这些位置。本文中描述的考虑和结果是由巴西的电子能源(CEEE)和联邦圣玛丽亚(UFSM)开发的研发计划的一部分是由巴西。

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