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Dynamic economic dispatch of hybrid microgrid with energy storage using quadratic programming

机译:基于二次规划的储能混合微电网动态经济调度

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Electrical power demand increases rapidly due to the development of technology. In the contrary, the availability of non-renewable energy sources surely decreases. This problem will impact on the national energy security. To meet the need of a large electric power, it is required to develop a large area small scales of distributed generations. Distributed generations utilize renewable energy sources, such as PV, in order to minimize the use of non-renewable energy sources. To maximize the utilization of renewable resources, it is necessary to apply energy storage. This storage is needed to store excess energy generated by renewable energy based power plants. With the distributed generations and energy storage which are connected to the main grid through microgrid, it is important to optimize the operation of the power system in order to meet daily load. In this paper, the optimization problem is formulated as Dynamic Economic Dispatch which is applied on hybrid microgrid with energy storage. The problem is solved using Matlab-based quadratic programming.
机译:随着技术的发展,电力需求迅速增加。相反,不可再生能源的可用性肯定会下降。这个问题将影响国家能源安全。为了满足大功率的需求,需要开发大面积的小规模的分布式发电。分布式发电利用可再生能源,例如PV,以最大程度地减少不可再生能源的使用。为了最大程度地利用可再生资源,有必要进行储能。需要这种存储来存储基于可再生能源的发电厂产生的多余能量。通过微电网连接到主电网的分布式发电和能量存储,重要的是优化电力系统的运行,以满足日常负荷。本文将优化问题表述为动态经济调度,将其应用于具有储能的混合微电网。使用基于Matlab的二次编程解决了该问题。

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