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RANDOM ROLLING SCHEDULING METHOD FOR POWER SYSTEM BASED ON NEWTON METHOD

机译:基于牛顿法的电力系统随机滚动调度方法

摘要

The disclosure provides a stochastic look-ahead dispatch method for power system based on Newton method, belonging to power system dispatch technologies. The disclosure analyzes historical data of wind power output, and uses statistical or fitting software to perform Gaussian mixture model fitting. A dispatch model with chances constraints is established for system parameters. Newton method is to solve quantiles of random variables obeying Gaussian mixture model, so that chances constraints are transformed into deterministic linear constraints, thus transforming original problem to convex optimization problem with linear constraints. Finally, the model is solved to obtain look-ahead dispatch. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic linear constraints, which effectively improves model solution efficiency, eliminates conservative nature of conventional robust, provides reasonable dispatch for decision makers. The disclosure is employed to the dispatch of the power system including large-scale renewable energy grid-connected.
机译:本发明提供了一种基于牛顿法的电力系统随机超前调度方法,属于电力系统调度技术。本公开内容分析了风力输出的历史数据,并使用统计或拟合软件来进行高斯混合模型拟合。建立具有机会约束的系统参数调度模型。牛顿法是服从高斯混合模型求解随机变量的分位数,从而将机会约束转化为确定性线性约束,从而将原始问题转化为具有线性约束的凸优化问题。最后,求解该模型以获得提前分配。本发明采用牛顿法将包含风险水平和随机变量的机会约束转化为确定性线性约束,有效提高了模型求解效率,消除了传统鲁棒性的保守性,为决策者提供了合理的调度。本公开用于包括大规模可再生能源并网的电力系统的调度。

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