A practical two-phase optimization method of dynamic var optimization in a distribution system

For multi-period dynamic var control optimization, a dynamic optimization model is used, in which the objective function is the minimum summation of network loss coat and regulating cost of controlling devices. A Fisher ordered clustering algorithm is employed to segment a load curve, making the loa...

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Bibliographic Details
Published inDianli Xitong Baohu yu Kongzhi Vol. 43; no. 3; pp. 14 - 21
Main Authors Hu, Xiaoyang, Wang, Weiping, Wang, Zhuding, Shen, Dazhong
Format Journal Article
LanguageChinese
Published 01.02.2015
Subjects
Algorithms
Control systems
Cost engineering
Dynamical systems
Dynamics
Mathematical models
Optimization
Programming
Segments
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Summary:For multi-period dynamic var control optimization, a dynamic optimization model is used, in which the objective function is the minimum summation of network loss coat and regulating cost of controlling devices. A Fisher ordered clustering algorithm is employed to segment a load curve, making the load curve close to the actual load change. A two-phase optimization method is presented to acquire a multi-period coordinated optimization based on a modified genetic algorithm and a quasi-dynamic programming. In order to take into account both solution speed and accuracy, the number of optimal paths to be recorded for all stages can be set flexibly according to the system size, which is suitable for the dynamic var control optimization of a large-scale system. The results show that the proposed method is practical and effective.
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ISSN:1674-3415