风电CVaR的鲁棒机组承诺

Ran Li, Mingqiang Wang, Weilun Wang
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引用次数: 0

摘要

风电的大规模并网给电力系统的安全和经济运行带来了巨大的压力。为了有效应对风电的不确定性并容纳更多的风电,风电系统面临的问题包括如何确定风电的允许区域边界以及风电超过允许区域时的风险度量。本文提出了考虑风电并网条件风险值(CVaR)的鲁棒机组承诺模型。基于成本效益分析,通过同时优化运行成本和CVaR成本,得到各节点的风电AR。在该模型中,为了保证系统的安全,引入了发电储备、短期斜坡储备和输电储备。基于分段线性逼近和索斯特鲁棒线性化技术,将该模型转化为混合整数线性规划问题。在IEEE-RTS系统上验证了该方法的有效性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Unit Commitment with CVaR of Wind Power
Large-scale integration of wind power brings huge pressure to security and economic operation of power systems. In order to effectively deal with the wind power uncertainty and accommodate more wind energy, the problems faced by the power system include how to determine the boundary of the admissible region (AR) of wind power and how to measure the risk when wind power exceeding the AR. This paper proposes a robust unit commitment model considering the conditional value-at-risk (CVaR) of wind power integration. Based on the cost/benefit analysis, the wind AR on each node can be obtained by simultaneously optimizing the operation cost and CVaR cost. In the model, generation reserve, short-term ramping reserve, and transmission reserve are involved to guarantee the system security. The proposed model is recast into a mixed integer linear programming problem based on piecewise linear approximation and Soyster's robust linearization technique. The effectiveness and validity of the proposed method are illustrated on the IEEE-RTS system.
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