| 基于关联矩阵和动态规划法的地区电网无功优化 |
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| 引用本文： | 郑爱霞,陈星莺,余昆,葛思敏,罗志坤,刘潇潇.基于关联矩阵和动态规划法的地区电网无功优化[J].电力系统保护与控制,2016,44(6):128-134. |
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| 作者姓名： | 郑爱霞 陈星莺 余昆 葛思敏 罗志坤 刘潇潇 |
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| 作者单位： | 江苏省电力公司电力科学研究院，江苏 南京 210019,河海大学能源与电气学院，江苏 南京 211100；3.江苏省配用电与能效工程技术研究中心，江苏 南京 211100,河海大学能源与电气学院，江苏 南京 211100；3.江苏省配用电与能效工程技术研究中心，江苏 南京 211100,河海大学能源与电气学院，江苏 南京 211100,国网湖南省电力公司电力科学研究院，湖南 长沙 410000,国网湖南省电力公司电力科学研究院，湖南 长沙 410000 |
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| 基金项目： | 国家电网公司科技项目(智能变电站能效评测与能效提升关键技术研究与试点工程建设)；国家发改委物联网专项(基于物联网的智能用电综合管理与能效提升技术研发及产业化) |
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| 摘 要： | 针对目前时段划分中对动作次数的处理和模型简化方面存在的问题，设计设备状态的关联矩阵，并据此进行时间区间划分。在此基础上，对每个时段进行静态无功优化，保留每个时刻的最优解和部分次优解，并将这些解作为动态规划的状态变量。在各时段中用动态规划法以动作次数最小为目标寻找最优路径，从而得到整个调度周期的动态无功优化问题的解。某实际地区电网算例说明了时段划分和基于此的动态无功优化方法的有效性。
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| 关 键 词： | 动态无功优化 地区电网 动态规划 设备状态关联矩阵 |
| 收稿时间： | 2015/5/19 0:00:00 |
| 修稿时间： | 2015/12/8 0:00:00 |
Reactive power optimization of district power grid based on associated matrix and dynamic programming method |
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| ZHENG Aixi,CHEN Xingying,YU Kun,GE Simin,LUO Zhikun and LIU Xiaoxiao.Reactive power optimization of district power grid based on associated matrix and dynamic programming method[J].Power System Protection and Control,2016,44(6):128-134. |
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| Authors: | ZHENG Aixi CHEN Xingying YU Kun GE Simin LUO Zhikun and LIU Xiaoxiao |
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| Affiliation: | Jiangsu Electric Power Research Institute, Nanjing 210019, China,College of Energy & Electrical Engineering,Hohai University, Nanjing 211100, China; 3. Jiangsu Engineering Research Center for Distribution & Utilization and Energy Efficiency, Nanjing 211100, China,College of Energy & Electrical Engineering,Hohai University, Nanjing 211100, China; 3. Jiangsu Engineering Research Center for Distribution & Utilization and Energy Efficiency, Nanjing 211100, China,College of Energy & Electrical Engineering,Hohai University, Nanjing 211100, China,Hunan Electric Power Research Institute, Changsha 410000, China and Hunan Electric Power Research Institute, Changsha 410000, China |
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| Abstract: | In order to solve the problem of action number handing and model simplification in present time division, the associated matrix on equipment state is designed and the time is divided into several intervals based on this matrix. And then static reactive power of each time interval is optimized, the optimum solution and second best solution of each time interval are reserved. Then these solutions are used as state variables of dynamic programming to search the optimum path which has smallest time of action using dynamic programming in each time interval. At last, the solution of dynamic reactive power problem during whole scheduling period can be gotten. An example of region power system shows the effectiveness of time division and dynamic reactive power optimal method based on it. |
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| Keywords: | dynamic reactive power optimization district power grid dynamic programming associated matrix on equipment state |
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