Performance of a smart microgrid with battery energy storage system's size and state of charge

A. Ahmadi, G. Venayagamoorthy, Ratnesh K. Sharma
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引用次数: 14

Abstract

A mini-grid with various distributed energy technologies such as micro-turbine, micro-hydro, wind, solar, and biomass is known as microgrid. A microgrid can either be connected to the main grid or operate stand-alone. Due to variable nature of renewable resources such wind and solar plants, energy storage becomes necessary to maintain reliability of power supply to critical loads if high level of wind and solar power penetration is to be maximized. Moreover, advanced energy management systems are critical to make intelligent decisions that minimize power outage to critical loads, and maximize the utilization of renewable sources of energy. The primary contribution of this paper is to investigate the impact of size and state of charge (SOC) of a battery energy storage system (BESS) for a given microgrid with dynamic energy management systems (DEMS). Results are presented to show the relative performance of two types of DEMS for a microgrid with different BESS size and initial SOC. The performance of an intelligent DEMS developed using an adaptive critic designs approach is compared with of a DEMS developed using a decision tree based approach.
电池储能系统规模和充电状态对智能微电网性能的影响
采用各种分布式能源技术的微型电网,如微型涡轮机、微型水电、风能、太阳能和生物质能,被称为微电网。微电网既可以与主电网相连,也可以独立运行。由于风能和太阳能等可再生资源的可变性,如果要最大限度地提高风能和太阳能的高水平渗透率,储能就成为维持关键负荷供电可靠性的必要条件。此外,先进的能源管理系统对于做出明智的决策至关重要,这些决策可以最大限度地减少关键负载的停电,并最大限度地利用可再生能源。本文的主要贡献是研究具有动态能量管理系统(dem)的给定微电网中电池储能系统(BESS)的大小和荷电状态(SOC)的影响。结果显示了两种类型的dem在具有不同BESS大小和初始SOC的微电网中的相对性能。使用自适应批评设计方法开发的智能dem的性能与使用基于决策树的方法开发的dem进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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