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Optimization of capacity and operational scheduling for grid-tied microgrid using pumped-storage hydroelectricity and photovoltaic

机译:利用抽水蓄能和光伏发电优化并网微电网的容量和运行调度

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This paper deals with the optimization of capacity and operation scheduling for a grid-tied microgrid system. Photovoltaic power system is used as renewable energy source and pumped-storage hydroelectricity is used as energy storage. The physical models of the photovoltaic system and pumped-storage hydroelectricity are developed. The objective function is formulated based on capital and operational costs of individual systems. The constraints for the optimization are defined considering the model of systems, operational limitations, and performance requirements. The capacity and the operation scheduling of the photovoltaic and pumped-storage hydroelectricity are optimized based on the solar insolation data and average load demand tied to the microgrid. The performances required are high renewable energy penetration and low curtailed renewable energy. The optimization problem is solved using the mixed integer linear problem (MILP). With the proposed scheme, the renewable energy penetration ratio achieves 50%, which is acceptable. Moreover, the curtailed renewable energy ratio of 1.22% is obtained, which is very low. Both achievements, the acceptable renewable energy penetration ratio and the low curtailed renewable energy ratio, are the key outcomes of this research.
机译:本文针对并网微电网系统的容量和运行调度进行了优化。光伏发电系统被用作可再生能源,抽水蓄能水电被用作能源存储。建立了光伏系统和抽水蓄能水力发电的物理模型。目标函数是根据各个系统的资本和运营成本制定的。考虑系统模型,操作限制和性能要求来定义优化约束。光伏和抽水蓄能水电的容量和运行调度基于太阳日照数据和与微电网相关的平均负荷需求进行了优化。所需的性能是高可再生能源渗透率和低限度可再生能源。使用混合整数线性问题(MILP)解决了优化问题。通过提出的方案,可再生能源的渗透率达到了50%,这是可以接受的。此外,获得的缩减的可再生能源比率为1.22%,这是非常低的。两项成就,即可接受的可再生能源渗透率和降低的可再生能源比例低,都是这项研究的关键成果。

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