考虑高比例新能源不确定性的新型电力系统优化运行

Baosheng Chen, Zelong Zhang, Caijuan Qi, Zhao Yang, Qiang Ji
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引用次数: 0

摘要

随着新能源渗透程度的提高,其固有的不确定性、波动性和抗调峰性严重影响着电力系统的安全稳定运行。采用基于场景的随机优化方法模拟风能、太阳能输出和负荷需求的随机性,同时考虑到求解速度和结果的准确性,采用同步迭代方法减少蒙特卡罗模拟采样产生的场景数量。案例研究验证了不确定性对系统安全性、稳定性和运营成本的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Operation of Novel Power System Considering High Proportion of New Energy Uncertainty
As the significant of new energy penetration increases, its inherent uncertainty, volatility and anti peak shaving seriously have an impact on the safe and stable operation of power system. The scenario based stochastic optimization method is used to simulate the randomness of wind, solar output and load demand, and the synchronous iteration method is adopted to reduce quantities of scenarios generated by Monte Carlo simulation sampling, taking into account the speed of solution and the accuracy of results. Case studies validate the impact of uncertainty on system security, stability and operating costs.
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