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Information gap decision theory approach to deal with wind power uncertainty in unit commitment

机译：解决机组承诺中风电不确定性的信息缺口决策理论方法

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摘要

The renewable energy sources (RES) integration in the electricity supply utilities can reduce the energy procurement costs as well as the environmental concerns. Wind power is the most popular form of RES which is vastly utilized worldwide. This paper proposes a robust model for unit commitment (UC) problem, minimizing the operating costs considering uncertainty of wind power generation. In order to handle the uncertainties arising from volatile nature of wind power, information gap decision theory (IGDT) is utilized, where risk averse (RA) and opportunity seeker (OS) strategies are developed. RA strategy gives a robust decision making tool for handling the severe uncertainty of wind power, whereas the OS strategy makes benefit of possible uncertainties by adjusting the decision variables in a right way. Besides, the impact of demand flexibility (or demand response) on the operation costs is also investigated. The proposed model is examined on the IEEE 118-bus test system, and its benefits over the existing stochastic programming technique is examined. The obtained results demonstrate the applicability of the proposed method to deal with the UC problem with uncertain wind power generation. It is also observed that demand flexibility has positive impacts in both RA and OS strategies. (C) 2017 Elsevier B.V. All rights reserved.
机译：供电公用事业中的可再生能源（RES）集成可以减少能源采购成本以及对环境的关注。风能是最流行的RES形式，在全球范围内得到广泛利用。本文提出了一个针对机组承诺（UC）问题的鲁棒模型，考虑了风力发电的不确定性，该模型将运营成本降至最低。为了应对由风电的波动性引起的不确定性，利用了信息缺口决策理论（IGDT），在该理论中开发了风险规避（RA）和机会寻求者（OS）策略。 RA策略为处理严重的风电不确定性提供了强大的决策工具，而OS策略则通过正确调整决策变量来利用可能的不确定性。此外，还研究了需求灵活性（或需求响应）对运营成本的影响。该模型在IEEE 118总线测试系统上进行了检验，并检验了其优于现有随机编程技术的优势。所得结果证明了该方法在处理风力发电不确定性UC问题上的适用性。还观察到，需求灵活性对RA和OS策略均具有积极影响。 （C）2017 Elsevier B.V.保留所有权利。

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