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Optimizing a Grid-Connected Micro-Grid with Optimal Renewable Generation and Battery Energy Storage

机译:优化具有最佳可再生能源和电池储能的并网微电网

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Optimal sizing of renewable energy sources and associated energy storage system is necessary for efficient, economic and reliable operation of a micro-grid (MG). Under sizing jeopardizes the reliability of the system while over sizing may lead to financial loss. In this study a constraint based iterative search methodology is proposed for the optimal sizing of renewable sources in a grid-connected MG. The basic principle of the proposed technique is higher reliability at a lower possible cost. The technique is made more realistic by considering the forced outage rates of photovoltaic (PV) and wind turbine (WT) and utilization factor of battery energy storage (BES). The proposed technique is validated using the hourly solar irradiation, wind speed and demand data of Dammam region situated in the Eastern province of Saudi Arabia. The simulation results show the effectiveness of the proposed methodology.
机译:为了使微电网(MG)高效,经济和可靠地运行,可再生能源和相关的储能系统的最佳尺寸是必要的。大小不足会危害系统的可靠性,而大小过多可能会导致财务损失。在这项研究中,提出了一种基于约束的迭代搜索方法,用于在并网MG中优化可再生资源的大小。所提出的技术的基本原理是以较低的可能成本获得更高的可靠性。通过考虑光伏(PV)和风力涡轮机(WT)的强制停机率以及电池能量存储(BES)的利用率,使该技术更加实用。沙特阿拉伯东部省份达曼地区的每小时太阳辐射,风速和需求数据对所提出的技术进行了验证。仿真结果表明了该方法的有效性。

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