| 基于粒子群无功优化的网损降低技术研究 |
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| 引用本文： | 刘晓康,马琳,王满商,朱俊杰.基于粒子群无功优化的网损降低技术研究[J].江苏电器,2011(7):6-8,13. |
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| 作者姓名： | 刘晓康 马琳 王满商 朱俊杰 |
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| 作者单位： | 东南大学电气工程学院;无锡供电公司;镇江供电公司;启东供电公司; |
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| 摘 要： | 在传统无功优化模型上,建立了以网损最小和电压稳定裕度最大为目标函数的多目标优化模型,通过对目标函数加权建立妥协模型,使多目标函数问题转化为单目标函数问题,并采用粒子群算法求解无功优化问题,通过对IEEE30节点系统的算例分析,表明了采用多目标无功优化模型和粒子群算法能够在保证各节点电压不越限的情况下,有效地降低系统网损...
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| 关 键 词： | 无功优化 粒子群算法 加权妥协 网损降低 |
Study on Network Loss Reduction Technology Based on Particle Swarm Reactive Power Optimization |
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| Authors: | LIU Xiao-kang MA Lin WANG Man-shang ZHU Jun-jie |
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| Affiliation: | LIU Xiao-kang1,MA Lin2,WANG Man-shang3,ZHU Jun-jie4(1 School of Electrical Engineering,Southeast University,Nanjing 210096,China,2 Wuxi Power Supply Company,Wuxi 214000,3 Zhenjiang Power Supply Company,Zhenjiang 212000,4 Qidong Power Supply Company,Qidong 226200,China) |
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| Abstract: | On traditional reactive power optimization model,multi-target optimization model with minimum network loss and maximum voltage stability margin as target function was built.Via target function weighting to set up compromised model,the multi-target function problem was transferred into the single target problem and the particle swarm algorithm was adopted to solve the reactive power optimization problem.Analysis to algorithm example of IEEE30 node system shows that adopting multi-target reactive optimization... |
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| Keywords: | reactive power optimization particle swarm optimization algorithm weighted compromise network loss reduction |
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