风电场电池储能系统的风险约束协调调度

Yang Huang, Wei Hu, Y. Min, Weiling Zhang, Weihua Luo, Zhi-ming Wang, Wei-chun Ge
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引用次数: 3

摘要

由于风能的可变性和不可预测性,大量的风电并网将对现有电力系统的运行和控制产生很大的影响。电池储能系统(bess)有望减轻这种负面影响,因为它们具有提供能量缓冲和额外功率调节能力的巨大潜力,以满足涉及高风力资源渗透的系统的运行要求。本文提出了一种风电场bess风险约束协调调度方法,该方法将风电场的储能同时用于多种应用,包括日前预报误差补偿和短期波动控制,以及系统热效率提升和拥塞管理。采用风险约束随机优化方法对不同应用的BESS比例进行优化。同时,为了充分发挥风电场储能有限的优势,在优化方法中加入了协调调度方法。以辽宁某实际风电场历史运行数据为基础,进行了仿真。计算机仿真结果证明了系统和所设计方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk-constrained coordinative dispatching for battery energy storage systems of wind farms
The large amount of wind power integrated will have great impact on the operation and control of the existing power system because of the variability and unpredictability of wind energy. Battery energy storage systems (BESSs) are expected to mitigate such negative effects as they have great potential for providing energy buffer and additional power regulation capabilities to meet the operation requirements of the system involving high penetration of wind resources. This paper presents a risk-constrained coordinative dispatching method for BESSs of wind farms, in which the energy storage of the wind farm will be utilized for multiple applications at the same time, including day-ahead forecast error compensation and short-term volatility control, as well as systematic thermal efficiency enhancement and congestion management. Proportion of the BESS utilized for different applications will be optimized with a risk-constrained stochastic optimization method. Also, in order to make full advantage of finite energy storage of wind farm, a coordination dispatch method is added to the optimization method. Simulation is carried out based on historical operation data of a real wind farm in Liaoning Province of Northeast China. The Computer simulation results have proven the validity of the system and the approaches designed in the paper.
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