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为便于电力市场柔性地做出决策,研制灵活的求解、分析有功优化调度模型和算法就显得特别重要。文中将有功潮流方程表达成网络流形式,结合内点法的预测校正、前瞻技术和稀疏处理技术,建立了适用于多种方式计算的、动态的有功优化调度模型和算法,可以作为电力市场环境下有功优化调度分析的辅助工具。
In order to make flexible decision-making in power market, it is very important to develop flexible solution and analysis of active optimization scheduling model and algorithm. In this paper, the active power flow equations are expressed in the form of network flows. Combined with the prediction and correction of internal point method, forward-looking techniques and sparse processing techniques, a dynamic active optimization scheduling model and algorithm suitable for a variety of calculation methods is established, which can be used as a power market environment Auxiliary tools for active optimization scheduling analysis.