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Methodology for the economic optimisation of energy storage systems for frequency support in wind power plants

机译:用于风力发电厂频率支持的储能系统的经济优化方法

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摘要

This paper proposes a methodology for the economic optimisation of the sizing of Energy Storage Systems (ESSs) whilst enhancing the participation of Wind Power Plants (WPP) in network primary frequency control support. The methodology was designed flexibly, so it can be applied to different energy markets and to include different ESS technologies. The methodology includes the formulation and solving of a Linear Programming (LP) problem.; The methodology was applied to the particular case of a 50 MW WPP, equipped with a Vanadium Redox Flow battery (VRB) in the UK energy market. Analysis is performed considering real data on the UK regular energy market and the UK frequency response market. Data for wind power generation and energy storage costs are estimated from literature.; Results suggest that, under certain assumptions, ESSs can be profitable for the operator of a WPP that is providing frequency response. The ESS provides power reserves such that the WPP can generate close to the maximum energy available. The solution of the optimisation problem establishes that an ESS with a power rating of 5.3 MW and energy capacity of about 3 MW h would be enough to provide such service whilst maximising the incomes for the WPP operator considering the regular and frequency regulation UK markets. (C) 2014 Elsevier Ltd. All rights reserved.
机译:本文提出了一种经济上优化储能系统(ESS)规模的方法,同时增强了风电厂(WPP)在网络主频控制支持中的参与度。该方法的设计灵活,因此可以应用于不同的能源市场,并包含不同的ESS技术。该方法包括制定和解决线性规划(LP)问题。该方法适用于英国能源市场中配备有钒氧化还原液流电池(VRB)的50 MW WPP的特殊情况。分析时要考虑英国常规能源市场和英国频率响应市场的真实数据。风力发电和储能成本的数据是根据文献估计的。结果表明,在某些假设下,ESS对于提供频率响应的WPP运营商而言可能是有利可图的。 ESS提供动力储备,以便WPP可以产生接近最大可用能量的能量。优化问题的解决方案确定,额定功率为5.3 MW和能量容量约为3 MW h的ESS将足以提供此类服务,同时考虑到英国的常规和频率法规市场,将为WPP运营商带来最大的收入。 (C)2014 Elsevier Ltd.保留所有权利。

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