电网经济运行分析及有功优化的迭代计算方法

试图以数学中的神经网络BP方法对电力系统的经济运行进行分析求解。以平凉电力系统为例,对整个平凉电网进行了数据采集、规算和潮流计算,得到全网的潮流初解,然后以此为初始值,用BP算法对有功部分进行优化,从而得到全网有功功率的最佳分配。数值计算及应用结果均表明所提出的模型是正确的,所运用的BP优化算法是稳定、收敛、快速和有效的,可以作为电力系统经济有效分析有功优化的核心软件推广使用。

Economical Operation Analysis of Electric Power System and Calculation Method of Alternating Iteration of Active Power Optimization

This paper attempts to analyze and find solutions of the economical operation of power system by using the BP algorithm of the neural network in mathematics. In the power system of Pingliang area for an example, the original answers for power flow in the whole grid are obtained by collecting, standardizing and calculating the data of the system. Treating the original answers as first values, the optimized distribution of active power for the whole grid is obtained by optimizing the active power with BP method. The calculation and application results have showed that the models proposed in this paper are correct, and the BP optimization algorithm is stable, convergent, fast and effective and can be widely used as the core software in the power system economic efficiency analysis for active power optimization.