| 解决电力市场无功优化问题的序优化级联编码遗传算法 | |
| 赵大溥 ; 何光宇 ; 钟金 ; 倪以信 ; ZHAO Dapu ; HE Guangyu ; ZHONG Jin ; NI Yixin | |
| 2010-05-12 ; 2010-05-12 | |
| 关键词 | 遗传算法 序优化 无功优化 机会成本 混合整数优化 genetic algorithm ordinal optimization reactive power optimization opportunity cost mixed integer optimization TM744 TP18 |
| 其他题名 | Ordinal-based genetic algorithm with cascaded encoding for reactive power optimization of electricity market |
| 中文摘要 | 发电机和并联补偿设备是系统中主要的无功源,负责满足负荷的无功需求并维持系统电压水平。在电力市场环境下,对无功的优化调度要考虑各类无功电源的成本,并以此作为建立无功市场机制的基础。建立了一个在电力市场环境下考虑无功成本的无功优化模型,该模型将电容的投切标志作为0-1变量,即描述为一个非线性混合整数规划问题,采用级联编码的遗传算法解决该非线性混合整数规划问题。引入了序优化的思想,以指导遗传算法的个体选择和进化代数,并对计算结果的可靠性进行定量评估。在IEEE 30母线系统上的仿真结果验证了该方法的有效性。根据5种情况的计算结果,分析了考虑无功成本时系统的运行状况以及相应的经济效益。; Generators and capacitors are main reactive power sources for reactive load demands and system voltage stability.The cost of reactive power resource should be considered in dispatch optimization,based on which the reactive power market is built.A reactive power optimization model based on reactive power cost is proposed,which regards the on-off of capacitor as 0-1 variable.The reactive power optimization becomes the non-linear programming of mixed integers,to which genetic algorithm with cascaded encoding is applied.The ordinal optimization theory is introduced to direct the individual selection and generation times of genectic algorithrn.Its reliability is evaluated quantitatively.Simulation results of IEEE 30-bus system show its effectiveness.The operating conditions and relevant benefits are analyzed based on 5 cases. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/29034]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 赵大溥,何光宇,钟金,等. 解决电力市场无功优化问题的序优化级联编码遗传算法[J],2010, 2010. |
| APA | 赵大溥.,何光宇.,钟金.,倪以信.,ZHAO Dapu.,...&NI Yixin.(2010).解决电力市场无功优化问题的序优化级联编码遗传算法.. |
| MLA | 赵大溥,et al."解决电力市场无功优化问题的序优化级联编码遗传算法".(2010). |
| 个性服务 |
| 查看访问统计 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论