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Content Provider | IEEE Xplore Digital Library |
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Author | Hao Yue Gengyin Li Ming Zhou Kangning Wang Jinhao Wang |
Copyright Year | 2011 |
Description | Author affiliation: Shanxi Electric Power Research Institute, Shanxi, Taiyuan 030001, P. R. China (Kangning Wang; Jinhao Wang) || State Key Laboratory of Alternate Electrical Power System, (North China Electric Power University), Beijing 102206, P. R. China (Hao Yue; Gengyin Li; Ming Zhou) |
Abstract | In this paper, firstly the defects of current algorithms for optimal power filter planning are analyzed, and then a new model, taking both filter costs and network loss as objective functions is proposed. In this model, reactive power compensation is also taken into account. Fast nondominated sorting genetic algorithm (NSGA-II), a new multi-objective genetic algorithm, is used to solve the model. The simulation results show that the obtained Pareto-optimal solutions have much better spread of solutions, better convergence and robustness, which provide decision-makers with a wide choice of filter optimization plan. The comparison with the classical single objective optimal filter planning demonstrated the proposed model solved by improved NSGA-II can obtain better optimum solutions. In addition, three widely used methods of transformer harmonic loss are analyzed in this paper. And through a case a more accurate method under varying range of harmonic distortion for voltage is used in the optimization model. |
Starting Page | 234 |
Ending Page | 240 |
File Size | 1001290 |
Page Count | 7 |
File Format | |
ISBN | 9781457703645 |
e-ISBN | 9781457703652 |
DOI | 10.1109/DRPT.2011.5993895 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-07-06 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Power harmonic filters Harmonic analysis Power filters Planning Optimization Genetic algorithms fast nondominated sorting genetic algorithm (NSGA-II) power filter planning multi-objective |
Content Type | Text |
Resource Type | Article |
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