【24h】

Optimizing droop coefficients for minimum cost operation of islanded micro-grids

机译:优化下垂系数以最小化孤岛微电网的成本

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摘要

This paper shows how minimum cost energy management can be carried out for islanded micro-grids considering an expanded state that also includes the system's frequency. Each of the configurations outputted by the energy management system at each hour are indeed technically sound and coherent from the point of view of generation-consumption balancing by exploiting a frequency dependent load flow algorithm. A Glow-worm Swarm Optimization (GSO) algorithm carried out in a 24 hour time frame provides optimized results. A test has been carried out for a residential PV-Storage-Microturbine islanded micro-grid to show the feasibility as well as the efficiency of the proposed approach and results are compared to an existing solution method recently proposed by the authors.
机译:本文展示了如何在考虑扩展状态(包括系统频率)的情况下,对孤岛微电网执行最低成本的能源管理。从发电量消耗平衡的角度来看,通过利用频率相关的潮流算法,能源管理系统每小时输出的每个配置在技术上确实是合理且一致的。在24小时内执行的萤火虫虫群优化(GSO)算法可提供优化的结果。已经对住宅光伏储能-微型涡轮机岛状微电网进行了测试,以显示所提出方法的可行性和效率,并将结果与​​作者最近提出的现有解决方案方法进行了比较。

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