基于DW分离模糊负荷模型的无功功率优化

Reactive Power Optimization Based on Fuzzy Load Model of the Dantzig-wolfe

提出了一种大区域电网无功功率/电压最优化控制的数学模型,其目的是研究在当前时段内各负荷值的情况下使功率损耗最小.该模型运用模糊集理论,结合DW分离法,成功地解决了多目标优化中描述不确定性以及处理不同量纲相互矛盾的问题,另一方面降低了问题计算的复杂度.算例表明,该模型具有较强的适应性和通用性,在全局收敛性、算法复杂度及运算效率等方面显示了一定的优势,为系统在各负荷值条件下的性状提供了总的解答.

For optimal control of reactive power/voltage in large-scale electric network, a novel mathemafic model of fuzzy load is presented. The objective is to minimize power losses considering various load condition at the current time interval. Combining fuzzy set theories with Wantzig-wolfe decomposition, all the problem such as the uncertainties described, the conflicting in different measures and the complexity of calculating are resolved. That this model not only has the stronger adaptability , the global optimization capability of escaping local optimum and the capability of reducing CPU time effectively, but also can provide a global solution for the system behavior under various load conditions is proved by the results of the numerical examples.