| 风光储联合发电系统日运行计划制定方法研究 |
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| 引用本文： | 李金鑫,祝君剑,张建成,张凡,陈红松.风光储联合发电系统日运行计划制定方法研究[J].华东电力,2012(7):1107-1110. |
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| 作者姓名： | 李金鑫 祝君剑 张建成 张凡 陈红松 |
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| 作者单位： | 华北电力大学电气与电子工程学院;江西赣东北供电公司;华北电力大学控制与计算机工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(51177047);国家科技支撑计划项目(2011BAA07B02)~~ |
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| 摘 要： | 基于国家风光储示范项目进行日运行计划制定方法研究,利用粒子群优化算法对模型进行求解,并提出储能电池的充放电优化方法,提高充电电流、充电效率,加强储能系统的补偿效果,延长其使用寿命。通过算例验证了模型的有效性和可行性,能够比较准确地进行系统日运行计划的制定。
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| 关 键 词： | 风光储 日运行计划 粒子群优化(PSO) 储能电池 充放电优化 |
Scheduling Method for HPWS Daily Generation |
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| LI Jin-xin,ZHU Jun-jian,ZHANG Jian-cheng,ZHANG Fan,CHEN Hong-song.Scheduling Method for HPWS Daily Generation[J].East China Electric Power,2012(7):1107-1110. |
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| Authors: | LI Jin-xin ZHU Jun-jian ZHANG Jian-cheng ZHANG Fan CHEN Hong-song |
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| Affiliation: | 1(1.School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China;2.Jiangxi Gandongbei Power Supply Company,Leping 333300,China;3.School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,china) |
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| Abstract: | The research on the daily generation scheduling method was based on the national demonstration HPWS project in China.The model was solved by using particle swarm optimization(PSO) algorithm,and the charging and discharging optimization method for storage battery was proposed to improve charging current and efficiency,enhance compensation effect of energy storage system,and prolong its service life.Calculation example shows that the proposed model is effective and feasible,and can formulate daily generation scheduling accurately. |
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| Keywords: | HPWS daily generation scheduling particle swarm optimization(PSO) energy storage battery charging and discharging optimization |
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