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Probabilistic and multi-objective approach for planning of microgrids under uncertainty: a distributed architecture proposal

机译:不确定性下微电网规划的概率和多目标方法:分布式架构建议

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摘要

This study aims to present an architecture for the planning of microgrids (MGs) in order to support system operator decision. In short, the proposed strategy is an iterative procedure that tries to find the optimal size of distributed energy resource (DER), which attends the necessities of stakeholders. The architecture has five distributed and correlated stages named MG coordination, MG operation optimisation, reliability assessment, contingency assessment, and searching mechanism. Since the DER selection involves multiple criteria and interests of different parts, it requires a multi-attribute decision system providing a list of possible configurations based on their relative importance as denoted by the stakeholders. Owing to that, the particle swarm optimisation is used to create the multidimensional space of search in which the optimal solution will be selected by means of Pareto front decision criteria. As a result, the architecture provides a candidate solution to optimal size (optimal rated power) of each DER, that must be installed in the MG in order to have an optimal balance between technical, economical, social, and environmental aspects. To have realistic results, such a strategy is performed on a case study of a potential campus MG program.
机译:这项研究旨在提出一种用于微电网(MG)规划的架构,以支持系统操作员的决策。简而言之,所提出的策略是一个迭代过程,试图找到分布式能源的最佳规模,这符合利益相关者的需求。该架构具有五个分布式和相关的阶段,分别称为MG协调,MG运行优化,可靠性评估,应急评估和搜索机制。由于DER选择涉及多个标准和不同部分的兴趣,因此需要一个多属性决策系统,该系统根据利益相关者表示的相对重要性提供可能配置的列表。因此,粒子群优化可用于创建多维搜索空间,在该搜索空间中,将根据帕累托前沿决策标准选择最佳解决方案。结果,该体系结构为每个DER的最佳尺寸(最佳额定功率)提供了一个候选解决方案,必须在MG中安装该解决方案,以便在技术,经济,社会和环境方面达到最佳平衡。为了获得现实的结果,在可能的校园MG计划的案例研究中执行了这种策略。

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