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Improving wind power utilisation under stormy weather condition by risk-limiting unit commitment

机译:通过限制风险单位的承诺提高暴风雨天气下的风能利用率

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Power grid resilience has been a major concern as extreme weather events become more frequent recently. Particularly, wind power generation has constituted a significant body of generation portfolio worldwide. Under stormy weather conditions, wind power generation would be curtailed due to the over-speed protection of wind turbines. Subsequently, the sharply reduced generation resources would significantly endanger the reliability of power supply. In this study, the authors propose to apply the risk-limiting methodology to improve the efficient utilisation of wind power prior to reluctant wind curtailment on the advent of wind stormy events. The proposed method integrates three programs, namely, day-ahead unit commitment (UC), hourly-ahead UC, and real-time load shedding into one single model along with risk-limiting constraints. The first program provides the baseline of hourly dispatch; whereas, the latter two programs serve as recourse means while wind stormy event unfolds. The proposed model is cast into a multi-stage mixed-integer linear programming model and solved by commercial solvers. Illustrative examples demonstrate that the proposed method can reduce the total dispatch cost over the time-horizon including the wind stormy event, by postponing the timing of proactively starting quick-start generating units and shedding loads, in contrast to conventional two-stage stochastic dispatch methods.
机译:随着最近极端天气事件变得越来越频繁,电网的弹性已成为主要关注的问题。特别是,风力发电已构成全球重要的发电产品组合。在暴风雨的天气条件下,由于风力涡轮机的超速保护,风力发电将受到限制。随后,发电资源的急剧减少将严重危害电源的可靠性。在这项研究中,作者提议应用风险限制方法来提高风电的有效利用率,然后才开始因暴风雨事件的出现而勉强减少风能。所提出的方法将三个程序,即日提前单元承诺量(UC),小时提前UC和实时减载与风险限制约束集成到一个模型中。第一个程序提供了每小时调度的基准;而后两个程序是在暴风雨事件发生时用作求助手段。将该模型转换为多阶段混合整数线性规划模型,并通过商业求解器进行求解。说明性示例表明,与传统的两阶段随机调度方法相比,通过延迟主动启动快速启动发电机组的时间和减少负荷,所提出的方法可以在包括风灾事件的时间范围内降低总调度成本。 。

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