| 考虑负荷与分布式电源随机性的配电网无功优化* |
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| 引用本文： | 刘健,雷霞,闵伟成,陈晓盛,王宇哲. 考虑负荷与分布式电源随机性的配电网无功优化*[J]. 电测与仪表, 2016, 53(12). DOI: 10.3969/j.issn.1001-1390.2016.12.016 |
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| 作者姓名： | 刘健 雷霞 闵伟成 陈晓盛 王宇哲 |
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| 作者单位： | 1. 西华大学电气与电子信息学院,成都,610039;2. 国网四川电力检修公司,成都,610041 |
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| 摘 要： | 考虑负荷与分布式电源(DG)的随机性,在满足配电网运行约束条件以及补偿器动作次数约束条件下,提出配电网日整体收益最大,综合考虑分布式电源投资和维护费用以及补偿器投入费用的无功优化模型。用网损降损率变化率作为补偿器动作的"动作阀",同时针对遗传算法(GA)在寻优过程中寻优速度慢的缺点,用精英保留策略遗传算法(ESGA)求解含DG配电网无功优化问题。IEEE33节点配电系统算例仿真结果表明所提方法能有效解降低网络损耗,实现配电网动态无功优化。
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| 关 键 词： | 负荷随机性 分布式电源随机性 降损率 整体收益 无功优化 |
| 收稿时间： | 2015-04-11 |
| 修稿时间： | 2015-05-23 |
Dynamic Reactive Power Optimization of Distribution Network Considering Randomness of Load and Distributed Generation |
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| Liu Jian,Lei Xi,Min Weicheng,Chen Xiaosheng and Wang Yuzhe. Dynamic Reactive Power Optimization of Distribution Network Considering Randomness of Load and Distributed Generation[J]. Electrical Measurement & Instrumentation, 2016, 53(12). DOI: 10.3969/j.issn.1001-1390.2016.12.016 |
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| Authors: | Liu Jian Lei Xi Min Weicheng Chen Xiaosheng Wang Yuzhe |
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| Affiliation: | School of Electrical Electronic Information,Xi Hua University,Chengdu,Sichuan province,School of Electrical Electronic Information,Xi Hua University,Chengdu,Sichuan province,Maintenance Company,State Grid Sichuan Electric Power Corporation,Chengdu,Sichuan province,School of Electrical Electronic Information,Xi Hua University,Chengdu,Sichuan province,School of Electrical Electronic Information,Xi Hua University,Chengdu,Sichuan province |
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| Abstract: | Considering the randomness of distributed generation ( DG) and time-variance of load, the constrains of grid network operation and the maximum action number of compensator , this paper proposes a reactive power optimiza-tion model to promise the daily maximum overall revenue with the comprehensive consideration of the investment and maintenance cost of DG and cost of compensator .Using reduction rate of power loss to control the compensator action or not when the time load changes .In order to improve the calculation speed , the elitist strategy is used to improve generation algorithm and solve the optimization model in this paper .The simulating results on IEEE 33-node distribu-tion system shows the proposed method and calculation are effective on reducing power loss , and realize dynamic reac-tive power optimization . |
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| Keywords: | randomness of load randomness of distributed generation reduction rate of power loss overall revenue reactive power optimization |
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