考虑不确定性的多电力系统调峰调频协调优化

Shaorong Cai, Liang Lu, Qing Wang, Rui Zhang, Yuxiao Yang, Kai Liao
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引用次数: 0

摘要

近年来,新能源在电网中的比重不断提高。因此,间歇性新能源的逆调峰特性和随机性给电网的调峰调频带来了很大的困难。为解决新能源带来的这一问题,本文提出了一种针对风电、太阳能、火电、水电、电池储能、抽水蓄能等多电力系统的调峰调频协同优化方案。该方案考虑了间歇性发电和负荷需求的不确定性。此外,考虑需求侧管理和水电参与调峰调频,以最大限度地减少净负荷波动和弃电。最后,在MATLAB环境下进行的仿真结果表明,所提方案在保持系统稳定运行和提高新能源消费水平方面是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Peak Shaving and Frequency Regulation Coordinated Optimization for Multi-Power System Considering Uncertainties
In recent years, the proportion of new energy in the power grid has been increasing. As a result, the inverse peak shaving characteristics and randomness of intermittent new energy have brought great difficulties to the peak shaving and frequency regulation of the power grid. To solve this problem brought by new energy, this paper proposes a novel peak shaving and frequency regulation coordinated optimization scheme for the multi-power system including wind power, solar power, thermal power, hydropower, battery energy storage, and pumped storage. In the proposed scheme, uncertainties of the intermittent energy generation and load demand are considered. Besides, the demandside management and hydropower are considered to participate in the peak shaving and frequency regulation with the goal of minimizing the net load fluctuation and power abandonment. Finally, simulation results carried out in the MATLAB environment show that the proposed scheme is feasible in maintaining the stable operation of the system and improving the consumption level of new energy.
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