基于智能修复的可再生能源微电网可靠性研究

Nemer Amleh, M. Al-Muhaini, S. Djokic
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引用次数: 0

摘要

本文分析了智能恢复技术,通过将大电网划分为多个包含风能和光伏能源的独立微电网(mg)来提高系统可靠性。“智能恢复”一词用来表示自适应控制和管理方案,其中电力系统从紧急运行状态转移到恢复状态,其中基于可用的风能和光伏能源形成mg。为了保证对所有负载或大部分负载的供应,风能和光伏能源资源被用于快速转移到MG运行,并有效平衡可变的MG需求。该分析使用蒙特卡罗模拟来评估一些考虑的MG场景的可靠性指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Restoration for Improved Reliability of Microgrids with Renewable Energy Sources
This paper presents analysis of smart restoration techniques for improving system reliability through splitting a larger grid into a number of individual micro grids (MGs), which contain both wind and PV energy resources. The term “smart restoration” is used to denote adaptive control and management schemes, in which power system transfers from emergency operating conditions to a restorative state, where MGs are formed based on the available wind and PV energy resources. To preserve supply to all loads, or most of the loads in MGs, wind and PV energy resources are used for a fast transfer to MG operation and for efficient balancing of variable MG demands. The analysis uses Monte Carlo simulations to evaluate reliability indices for a number of considered MG scenarios.
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