| 基于PSO-动态修正算法的静态负荷模型辨识 |
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| 引用本文： | 李彩玲,王进,冯烨,孔帅.基于PSO-动态修正算法的静态负荷模型辨识[J].电工标准与质量,2009(3). |
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| 作者姓名： | 李彩玲 王进 冯烨 孔帅 |
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| 作者单位： | 长沙理工大学电气与信息工程学院;唐山科技职业技术学院; |
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| 基金项目： | 国家自然科学基金(70601003) |
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| 摘 要： | 采用具有全局寻优能力的微粒群优化(PSO)算法辨识负荷模型的参数;同时考虑负荷电压的变化,用动态修正法实时修正负荷模型的参数,建模仿真分析结果验证了PSO-动态修正算法的有效性和准确性.相对于线性回归分析的动态修正法,该算法能够提高负荷模型的辨识精度,所建模型更适合描述全电压范围下负荷的静态特性.
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| 关 键 词： | PSO-动态修正法 静态负荷模型 参数辨识 |
PSO-dynamic modification algorithm based static load models identification |
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| LI Cai-ling,WANG Jin,FENG Ye,KONG Shuai.PSO-dynamic modification algorithm based static load models identification[J].Journal of Changsha University of Electric Power(Natural Science Edition),2009(3). |
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| Authors: | LI Cai-ling WANG Jin FENG Ye KONG Shuai |
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| Affiliation: | LI Cai-ling1,WANG Jin1,FENG Ye2,KONG Shuai1(1.School of Electrical , Information Engineering,Changsha University of Science & Technology,Changsha 410114,China,2.Tangshan Vocational Institute of Science , Technology,Tangshan 063001,China) |
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| Abstract: | The Particle Swarm Optimization(PSO) algorithm with global optimization ability is applied for load model parameters identification in this paper.The parameters are real-time corrected by the dynamic modification method with the load voltage change considering.Simulation analysis results verify the validity and feasibility of PSO-dynamic algorithm.Comparing with the linear regression analysis based dynamic modification method,the algorithm can enhance the identification accuracy of load model,and the establ... |
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| Keywords: | PSO-dynamic modification static load model parameter identification |
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