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首页> 外文期刊>Journal of Energy Storage >A hybrid storage-wind virtual power plant (VPP) participation in the electricity markets: A self-scheduling optimization considering price, renewable generation, and electric vehicles uncertainties
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A hybrid storage-wind virtual power plant (VPP) participation in the electricity markets: A self-scheduling optimization considering price, renewable generation, and electric vehicles uncertainties

机译：混合风电虚拟电厂（VPP）参与电力市场：考虑价格，可再生能源发电和电动汽车不确定性的自我调度优化

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摘要

The fast growth of technologies most of which depend on natural sources of energy has resulted in a huge consumption of fossil fuels. In this regard, many solutions have been suggested to alleviate the side effects such as air pollution and global warming. Among these solutions, mobile storages like electric vehicles (EVs) and renewable generations, have grown significantly due to being more applicable. But uncoordinated operation and uncertain nature of these distributed energy resources (DERs) can bring forward new challenges and issues to the operators of power system. Thus, in many cases it is more efficient to co-operate them in a hybrid system. In this study, we address a virtual power plant (VPP) that aggregates the EVs charging and discharging power into electricity markets, day-ahead (DA) energy and reserve, while enjoying wind power generation capacity. Not only we consider uncertainty of electricity market prices and the amount of energy produced by wind generation but also we present a novel EV uncertainty modelling in which we introduce a new facet that incorporates all the uncertain parameters of these vehicles into the whole stochastic optimization model along with other uncertainty sources. The proposed method can be utilized in case of a VPP that has wind generation and parking-lots accommodating EVs to optimally schedule its assets prior to participating in the electricity markets. The theoretical approach in developing the proposed self-scheduling model and its applicability is verified through several numerical simulations.
机译：大多数依赖自然能源的技术迅速发展，导致大量消耗化石燃料。在这方面，已提出许多解决方案来减轻诸如空气污染和全球变暖的副作用。在这些解决方案中，诸如电动汽车（EV）和可再生能源发电之类的移动存储由于用途更广而得到了显着增长。但是这些分布式能源（DER）的不协调运行和不确定性会给电力系统运营商带来新的挑战和问题。因此，在许多情况下，在混合系统中进行协作更为有效。在本研究中，我们研究了一个虚拟发电厂（VPP），该发电厂将电动汽车的充电和放电功率汇总到电力市场，日间（DA）能源和储备中，同时享有风力发电能力。我们不仅考虑了电力市场价格的不确定性以及风力发电产生的能量，还提出了一种新颖的EV不确定性模型，其中引入了一个新的方面，将这些车辆的所有不确定性参数整合到整个随机优化模型中。与其他不确定性来源。在具有风力发电和停车位的电动汽车的VPP可以在参与电力市场之前最佳调度其资产的情况下，可以使用所提出的方法。通过几个数值模拟，验证了所提出的自调度模型的理论方法及其适用性。

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