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SHORT-TERM OPERATION OPTIMIZATION METHOD OF ELECTRIC POWER SYSTEM INCLUDING LARGE-SCALE WIND POWER

机译:大型风电的电力系统短期运行优化方法

摘要

The present invention discloses a short-term operation optimization method for a power system including large-scale wind power, comprising modeling the randomness of wind power output, modeling the randomness of the load of electric power system and modeling net load of electric power system. Net load refers that for probability distribution of net load that is too discretized, probability distribution curve of net load is divided into N intervals, the probabilities for each interval are obtained and probability distribution curve of net load is obtained through calculating and weighing each interval. Through calculating randomness of power wind output and standard deviation of load prediction error of the electric power system, net load prediction error of the electric power system is obtained and reasonable coordination is made on the electric power system according to prediction error and prediction amount to better regulate the correlations between randomness, volatility, regionalism, double-circuit peak shaving and load of wind power generation, so as to realize optimization operation of the electric power system.
机译:本发明公开了一种用于包含大规模风电的电力系统的短期运行优化方法,包括对风电输出的随机性进行建模,对电力系统的负荷的随机性进行建模以及对电力系统的净负荷进行建模。净负荷是指对于过于离散的净负荷的概率分布,将净负荷的概率分布曲线划分为N个区间,通过计算和加权每个区间,得出每个区间的概率,得到净负荷的概率分布曲线。通过计算电力出风量的随机性和电力系统负荷预测误差的标准偏差,可以得出电力系统的净负荷预测误差,并根据预测误差和预测量对电力系统进行合理协调,以取得更好的效果。调节随机性,波动性,区域性,双回路调峰与风力发电负荷之间的相互关系,实现电力系统的优化运行。

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