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Energy Management in Smart Distribution Systems With Vehicle-to-Grid Integrated Microgrids

机译:带有车对网集成微电网的智能配电系统中的能源管理

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摘要

In modern electric power systems, plug-in electric vehicle (PEV) with vehicle-to-grid (V2G) potential are becoming reliable and flexible resources for energy balancing under varying energy supply and demand scenarios. In this evolving paradigm, designing energy management strategies for feasible and cost-effective utilisation of V2G is one of the several challenges faced by the utility operators and regulators. This paper proposes two energy management strategies to effectively utilize V2G potential of PEVs in managing energy imbalances in grid-connected microgrids. The contributions of this paper are in twofold. First, it proposes a novel bidding strategy for PEVs offering V2G by including the projected battery degradation cost to integrate them into microgrid operation. Second, two energy management strategies are proposed for inclusion of V2G into the microgrid operation based on the forecast accuracy on energy supply and demand, and market prices. The proposed V2G integration strategies are implemented using a multi-agent system developed in Java agent development framework and applied to a microgrid case study system. The simulation results and their analysis show that V2G can be used to maximum depth of discharge levels if the electricity price variation is high and battery cost of PEVs is low.
机译:在现代电力系统中,具有变电对接(V2G)潜力的插电式电动汽车(PEV)成为可靠的,灵活的资源,可在变化的能源供需情况下进行能量平衡。在这种不断发展的范式中,设计能源管理策略以可行且经济高效地使用V2G是公用事业运营商和监管机构面临的若干挑战之一。本文提出了两种能源管理策略,可有效利用PEV的V2G潜力来管理并网微电网中的能量失衡。本文的贡献是双重的。首先,它通过提供将其集成到微电网运行中的预计电池退化成本,为提供V2G的PEV提出了一种新颖的竞标策略。其次,根据对能源供需的预测准确性以及市场价格,提出了两种将V2G纳入微电网运营的能源管理策略。提出的V2G集成策略是使用Java代理开发框架中开发的多代理系统实现的,并应用于微电网案例研究系统。仿真结果及其分析表明,如果电价变化较大且PEV的电池成本较低,则V2G可用于最大放电深度。

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