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An Optimal Power and Energy Management by Hybrid Energy Storage Systems in Microgrids

机译:微电网中混合储能系统的最优电力和能源管理

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A novel optimal power and energy management (OPEM) for centralized hybrid energy storage systems (HESS) in microgrids is presented in this paper. The proposed OPEM aims at providing multiple grid services by suitably exploiting the different power/energy features of electrochemical batteries ( B ) and supercapacitors ( S ). The first part of the paper focuses on the design and analysis of the proposed OPEM, by highlighting the advantages of employing hand-designed solutions based on Pontryagin?¢????s minimum principle rather than resorting to pre-defined optimization tools. Particularly, the B power profile is synthesized optimally over a given time horizon in order to provide both peak shaving and reduced grid energy buffering, while S is employed in order to compensate for short-term forecasting errors and to prevent B from handling sudden and high-frequency power fluctuations. Both the B and S power profiles are computed in real-time in order to benefit from more accurate forecasting, as well as to support each other. Then, the effectiveness of the proposed OPEM is tested through numerical simulations, which have been carried out based on real data from the German island of Borkum. Particularly, an extensive and detailed performance analysis is performed by comparing OPEM with a frequency-based management strategy (FBM) in order to highlight the superior performance achievable by the proposed OPEM in terms of both power and energy management and HESS exploitation.
机译:本文针对微电网中的集中式混合储能系统(HESS),提出了一种新型的最佳功率和能量管理(OPEM)。提出的OPEM旨在通过适当利用电化学电池(B)和超级电容器(S)的不同功率/能量特征来提供多种电网服务。本文的第一部分着重于提出的OPEM的设计和分析,强调了采用基于Pontryagin?最小原则的手工设计解决方案的优势,而不是采用预先定义的优化工具。特别是,B功率曲线在给定的时间范围内进行了最佳合成,以提供峰值削峰和减少的电网能量缓冲,而采用S则是为了补偿短期的预测误差并防止B处理突然而又高的功率。频率功率波动。 B和S功率曲线都是实时计算的,以便从更准确的预测中受益并相互支持。然后,通过数值模拟测试提出的OPEM的有效性,该数值模拟是基于来自德国博尔库姆岛的真实数据进行的。特别是,通过将OPEM与基于频率的管理策略(FBM)进行比较,进行了广泛而详细的性能分析,以突出提出的OPEM在功率和能量管理以及HESS开发方面可实现的卓越性能。

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