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Wind power dispatch margin for flexible energy and reserve scheduling with increased wind generation

机译:风力发电调度余量,可增加风力发电量,实现灵活的能源和储备调度

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With the significant penetration of wind generation, the variability and uncertainty of wind energy poses new challenges to power system operations. In particular, more rapid reserve is required, which may result in the scarcity of balancing services. With the increasing penetration of renewable generation, it is envisaged that renewable resources will be required to partake in the system balancing tasks. In this paper, a combined flexible dispatch and reserve scheduling policy is proposed by determining a flexible wind dispatch margin. In order to provide a flexible dispatch margin, wind generators underschedule in the hour-ahead energy market, so as to hold some expected output for reserves. Additional wind energy is then available for mitigating forecast errors and other system uncertainties. This paper presents a framework to find the optimal policy to incorporate the flexible wind dispatch margin into the hour-ahead market. A finite-state Markov chain wind power forecast model, based on spatio-temporal analysis, is utilized. The presented framework is used to find the appropriate level of wind dispatch margin. The proposed approach is tested and the wind generation data are used to analyze the effectiveness of the presented model in coping with forecast errors and achieving a more secure system operation.
机译:随着风力发电的广泛普及,风能的可变性和不确定性给电力系统的运行带来了新的挑战。特别是,需要更快的储备金,这可能会导致缺乏平衡服务。随着可再生能源发电的日益普及,可以预见,将需要可再生资源来参与系统平衡任务。通过确定一种灵活的风电调度余量,提出了一种灵活的调度与后备调度相结合的策略。为了提供灵活的调度余量,风力发电机在提前小时的能源市场中调度不足,从而保留了一些预期的储备储量。然后,可以使用额外的风能来减轻预测误差和其他系统不确定性。本文提出了一个框架,以找到将灵活的风电调度利润纳入提前小时市场的最佳政策。利用了基于时空分析的有限状态马尔可夫链风力发电预测模型。所提出的框架用于找到适当的风量分配裕度水平。测试了所提出的方法,并使用风力发电数据分析了所提出模型在应对预测误差和实现更安全的系统运行方面的有效性。

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