Multi-time-scale Reactive Power Optimization of Distribution Network Based on Fisher Optimal Segmentation Method
Owing to continuously increasing penetration rate of distributed sources in distribution network and the inverse proportional relationship between prediction accuracy of source-load and time scale,volatility of source-load has become an important factor constraining safe and economical operation of distribution network.In view of this,the present work proposed a multi-time-scale reactive power optimization method that combines day-ahead and intra-day considerations.The method works by utilizing Fisher's optimal segmentation to divide operation periods of discrete reactive power compensation devices,and by performing real-time adjustments to reactive power output of continuous compensation devices in intra-day periods to cope with the volatility of source-load.The effectiveness of the proposed optimization strategy was validated by conducting experiments on the IEEE 33 system.
distribution networkreactive power optimizationmulti-time scaleperiod division
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