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A real-time evaluation of energy management systems for smart hybrid home microgrids

机译:智能混合家庭微电网能源管理系统的实时评估

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摘要

Real-time energy management within the concepts of home Microgrids (H-MG) systems is crucial for H-MG operational reliability and safe functionality, regardless of simultaneously emanated variations in generation and load demand transients. In this paper, an experimental design and validation of a real-time mutli-period artificial bee colony (MABC) topology type central energy management system (CEMS) for H-MGs in islanding mode is proposed to maximize operational efficiency and minimize operational cost of the H-MG with full degree of freedom in automatically adapt the management problem under variations in the generation and storage resources in real-time as well, suitable for different size and types of generation resources and storage devices with plug-and-play structure, is presented. A self-adapting CEMS offers a control box capability of adapting and optimally operating with any H-MGs structure and integrated types of generation and storage technologies,using a two-way communication between each asset, being a unique inherent feature. This CEMS framework utilizes feature like day-ahead scheduling (DAS) integrated with real-time scheduling (RTS) units, and local energy market (LEM) structure based on Single Side Auction (SSA) to regulate the price of energy in real-time. The proposed system operates based on the data parameterization such as: the available power from renewable energy resources, the amount of non-responsive load demand, and the wholesale offers from generation units and time-wise scheduling for a range of integrated generation anduddemand units. Experimental validation shows the effectiveness of our proposed EMS with minimum cost margins and plugand-play capabilitities for a H-MG in real-time islanding mode that can be envisioned for hybrid multi-functional smart grid supply chain energy systems with a revolutionary architectures. The better performance of the proposed algorithm is shown in comparison with the mixed integer non-linear programming (MINLP) algorithm, and its effectiveness is experimentally validated over a microgrid test bed. The obtained results show convergence speed increase and the remarkable improvement of efficiency and accuracy under different conditions.
机译:家用微电网(H-MG)系统概念中的实时能源管理对于H-MG的运行可靠性和安全功能至关重要,无论发电和负荷需求瞬变同时发生变化。本文针对孤岛模式H-MG的实时多周期人工蜂群(MABC)拓扑类型中央能量管理系统(CEMS)进行了实验设计和验证,以最大程度地提高运营效率并最大程度地降低运营成本。 H-MG具有完全的自由度,可以实时自动地根据发电和存储资源的变化自动适应管理问题,适用于不同大小和类型的发电资源和具有即插即用结构的存储设备,被表达。自适应的CEMS提供控制箱功能,以适应任何H-MG结构以及集成类型的发电和存储技术并在其中进行优化操作,这是每个资产之间的双向通信,这是独特的固有功能。该CEMS框架利用集成了实时调度(RTS)单元的日前调度(DAS)和基于单边拍卖(SSA)的本地能源市场(LEM)结构来实时调节能源价格。所提出的系统基于以下数据参数化进行操作:可再生能源的可用功率,无响应负载需求的数量以及发电单元的批发报价和针对一系列综合发电和需求的按时调度单位。实验验证表明,我们提出的EMS具有最低的成本利润率和H-MG在实时孤岛模式下的即插即用功能的有效性,可以为具有革命性架构的混合多功能智能电网供应链能源系统设想到这一点。与混合整数非线性规划(MINLP)算法相比,该算法具有更好的性能,其有效性在微网测试平台上得到了实验验证。所得结果表明,在不同条件下,收敛速度提高,效率和精度显着提高。

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