| 基于PSO算法的风电场储能容量优化计算 |
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| 引用本文： | 麻常辉,冯江霞,张磊,孙延栋,孙舶皓.基于PSO算法的风电场储能容量优化计算[J].山东科学,2013,26(6):35-39. |
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| 作者姓名： | 麻常辉 冯江霞 张磊 孙延栋 孙舶皓 |
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| 作者单位： | 1.山东电力科学研究院，山东 济南 250002；
2. 国网潍坊供电公司， 山东 潍坊 261021；
3.山东大学电气工程学院，山东 济南 250061 |
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| 摘 要： | 本文提出为风电场配置合理容量的储能设备，用于平滑其输出功率的随机波动，并建立了储能容量优化配置的数学模型。该模型以风电弃风率最小化和储能投资成本最小化为多目标函数，以有功功率偏差率来衡量平滑效果，应用粒子群算法（PSO）对该模型进行求解，可以快速、精确地求得最优储能容量值，使得风电场的综合效益实现最优。算例表明，该研究可以较小储能成本及弃风率实现风电场功率的平滑输出。
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| 关 键 词： | 风力发电 储能容量 粒子群算法 |
| 收稿时间： | 2013-07-02 |
PSO based model for the optimization calculation of wind farm energy storage capacity |
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| MA Chang-hui,FENG Jiang-xia,ZHANG Lei,SUN Yan-dong,SUN Bo-hao.PSO based model for the optimization calculation of wind farm energy storage capacity[J].Shandong Science,2013,26(6):35-39. |
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| Authors: | MA Chang-hui FENG Jiang-xia ZHANG Lei SUN Yan-dong SUN Bo-hao |
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| Institution: | 1. Shandong Electric Power Institute, Jinan 250002, China;
2. State Grid Weifang Power Supply Company, Weifang 261021, China;
3. School of Electrical Engineering, Shandong University, Jinan 250061, China |
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| Abstract: | This paper presents suitable capacity device deployment for wind farm to smooth its output power fluctuation,The paper also constructs a model for the optimization calculation of its energy storage capacity.We employ particle swarm optimization （PSO） to solve the model with the minimization of wind curtailment rate and energy storage device cost as multi-objective function and active power deviation rate as smooth effect balance.We then can derive the optimal energy storage capacity rapidly and accurately.Its overall benefit is therefore optimized.Calculation case indicates that the model can smooth its output power with less energy storage cost and wind curtailment rate. |
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| Keywords: | wind power energy storage capacity PSO |
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