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Optimal distributed generation placement among interconnected cooperative microgrids

机译:互连协作微电网之间的最佳分布式发电布置

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The significant technical and economic benefits associated with microgrids have led to vast efforts in expanding their penetration in electric power systems. The benefits, however, must be scrutinized and compared with the huge investment cost to justify future microgrid deployments. There are lots of studies about integrating distributed generation (DG) units into a single microgrid; but DG deployment in cooperative microgrids, which allows power exchange among interconnected microgrids, lacks of study. In this paper, we first study DG placement problem among interconnected cooperative microgrids. In particular, we jointly optimize the long-term DG placement and short-term system operation to minimize microgrids' total operation cost. Uncertainties, including load demands and renewable energy generation, are taken into consideration. By using Branch Flow model, the DG placement problem can be formulated as a stochastic mixed integer convex problem. We propose to solve the problem in two stages: 1) to derive the analytical expression of Optimal Power Flow (OPF) problems for the short-term operation; 2) to solve the remaining integer problem for the long-term planning. Numerical results show that an optimal DG placement can save at most 5.8% of the long-term cost in our case studies.
机译:与微电网相关的重大技术和经济利益,导致人们在扩展其在电力系统中的渗透方面做出了巨大的努力。但是,必须仔细审查其收益,并将其与巨额投资成本进行比较,以证明未来的微电网部署是合理的。关于将分布式发电(DG)单元集成到单个微电网中的研究很多。但是DG在协作微电网中的部署(允许相互连接的微电网之间进行功率交换)缺乏研究。在本文中,我们首先研究互连的协作微电网之间的DG放置问题。特别是,我们联合优化了DG的长期放置和短期系统的运行,以最大程度地降低微电网的总运行成本。考虑了不确定性,包括负荷需求和可再生能源的产生。通过使用分支流模型,可以将DG放置问题公式化为随机混合整数凸问题。我们建议分两个阶段解决该问题:1)导出短期运行中的最优潮流(OPF)问题的解析表达式; 2)为长期规划解决剩余整数问题。数值结果表明,在我们的案例研究中,最佳DG位置最多可以节省长期成本的5.8%。

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