| 基于二进制粒子群算法的可中断负荷优化调度 |
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| 引用本文： | 王倩倩,赵彩虹,马成飞,李振. 基于二进制粒子群算法的可中断负荷优化调度[J]. 南京师范大学学报, 2011, 0(2): 19-25 |
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| 作者姓名： | 王倩倩 赵彩虹 马成飞 李振 |
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| 作者单位： | 南京师范大学电气与自动化工程学院; |
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| 摘 要： | 可中断负荷是非常重要的需求侧资源.本文对于在保证系统安全的前提下进行可中断负荷的优化调度,基于二进制粒子群优化算法(BPSO)分时段优化调度特性不同的多个可中断负荷,以满足系统各时段削减容量的需求,同时满足可中断负荷的运行约束条件,并使供电公司支付的补偿费用最小以及执行中断的次数最少.使用加权的处理方法把可中断负荷优化...
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| 关 键 词： | 可中断负荷 二进制粒子群算法(BPSO) 优化调度 需求侧管理 |
Scheduling of Interruptible Load Based on Binary Particle Swarm Optimization |
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| Wang Qianqian,Zhao Caihong,Ma Chengfei,Li Zhen. Scheduling of Interruptible Load Based on Binary Particle Swarm Optimization[J]. Journal of Nanjing Nor Univ: Eng and Technol, 2011, 0(2): 19-25 |
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| Authors: | Wang Qianqian Zhao Caihong Ma Chengfei Li Zhen |
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| Affiliation: | Wang Qianqian,Zhao Caihong,Ma Chengfei,Li Zhen(School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China) |
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| Abstract: | Interruptible Loads(ILs) represent highly valuable demand side resources.With regards to the scheduling of interruptible loads,this paper investigates the use of binary particle swarm optimization(BPSO) to schedule a number of ILs whose operational characteristics are different over 16 hours.The scheduling objective is to achieve the requirement of hourly curtailments while satisfying the operational constraints of the interruptible loads,minimizing the payments and the frequency of interruptions.This multi... |
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| Keywords: | interruptible load binary particle swarm optimization(BPSO) optimization scheduling demand side management |
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