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Distributed Optimisation Algorithm for Demand Side Management in a Grid-Connected Smart Microgrid

机译:网格连接智能微电网中需求侧管理的分布式优化算法

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The contributions of Distributed Energy Generation (DEG) and Distributed Energy Storage (DES) for Demand Side Management (DSM) purposes in a smart macrogrid or microgrid cannot be over-emphasised. However, standalone DEG and DES can lead to under-utilisation of energy generation by consumers and financial investments; in grid-connection mode, though, DEG and DES can offer arbitrage opportunities for consumers and utility provider(s). A grid-connected smart microgrid comprising heterogeneous (active and passive) smart consumers, electric vehicles and a large-scale centralised energy storage is considered in this paper. Efficient energy management by each smart entity is carried out by the proposed Microgrid Energy Management Distributed Optimisation Algorithm (MEM-DOA) installed distributively within the network according to consumer type. Each smart consumer optimises its energy consumption and trading for comfort (demand satisfaction) and profit. The proposed model was observed to yield better consumer satisfaction, higher financial savings, and reduced Peak-to-Average-Ratio (PAR) demand on the utility grid. Other associated benefits of the model include reduced investment on peaker plants, grid reliability and environmental benefits. The MEM-DOA also offered participating smart consumers energy and tariff incentives so that passive smart consumers do not benefit more than active smart consumers, as was the case with some previous energy management algorithms.
机译:在智能宏格栅或微电网中,分布式能量产生(DEG)和分布式能量存储(DES)的目的的贡献不能超出智能宏格栅或微电网的目的。然而,独立的DEG和DES可以通过消费者和金融投资导致能源产生的利用;但是,在网格连接模式中,DEG和DES可以为消费者和公用事业提供商提供套利机会。本文考虑了包括异构(主动和无源)智能消费者,电动车辆和大规模集中储能的网格连接的智能微电网。每个智能实体的高效能量管理由所提出的微电网能量管理分布式优化优化优化算法(MEM-DOA)根据在网络内安装在网络内,根据消费者类型。每个智能消费者都能优化其能源消耗和交易,以获得舒适性(需求满意)和利润。拟议的模型被观察到产生更好的消费者满意度,更高的金融节省,并降低了实用电网的峰值与平均值(PAR)需求。该模型的其他相关益处包括减少峰值植物,电网可靠性和环境效益的投资。 MEM-DOA还提供参与智能消费者能源和关税激励,以便被动智能消费者不仅受益于活跃的智能消费者,就像一些先前的能量管理算法一样。

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