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Scheduling of Interruptible Load Based on Binary Particle Swarm Optimization(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年02期
Page:
19-25
Research Field:
Publishing date:

Info

Title:
Scheduling of Interruptible Load Based on Binary Particle Swarm Optimization
Author(s):
Wang Qianqian; Zhao Caihong; Ma Chengfei; Li Zhen
School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China
Keywords:
interruptible load; binary particle swarm optimization ( BPSO) ; optimization scheduling; demand side management
PACS:
TM73
DOI:
-
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-objective optimization problem was simplified to a single objective function by weight． Simulation results are presented to validate the method．

References:

［1］薛禹胜，罗运虎，李碧君，等． 关于可中断负荷参与系统备用的评述［J］． 电力系统自动化， 2007， 31( 10) : 1-6． Xue Yusheng，Luo Yunhu，Li Bijun，et al． A review of interruptible load participating in system reserve［J］． Automation of Electric Power Systems，2007， 31( 10) : 1-6． ( in Chinese)
［2］何禹清，彭建春，毛丽林． 计及电压水平的多目标可中断负荷阻塞管理［J］． 电网技术， 2010， 34( 1) : 122-128． He Yuqing，Peng Jianchun，Mao Lilin． A multi-objective congestion management method participating with interruptible load and taking account of voltage level［J］． Power System Technology，2010， 34( 1) : 122-128． ( in Chinese)
［3］Majumdar S，Chattopadhyay D，Parikh J． Interruptible load management using optimal power flow analysis［J］． IEEE Trans Power Syst，1996， 11( 2) : 715-720．
［4］Bai J，Gooi H B，Xia L M，et al． A probabilistic reserve market incorporating interruptible load［J］． IEEE Trans Power Syst， 2006， 21( 3) : 1079-1087．
［5］Xia L M，Gooi H B，Bai J． Probabilistic spinning reserves with interruptible loads［C］/ / Proc IEEE Power Eng Soc General Meeting． USA: Denver，2004: 146-152．
［6］Huang K Y． Demand subscription services—An iterative dynamic programming for the substation suffering from capacity shortage ［J］． EEE Trans Power Syst，2003， 18( 2) : 947-953．
［7］Wang Jianxue，Wang Xifan，Ding Xiaoying． The forward contract model of interruptible load in power market［C］/ / IEEE PES Transmission and Distribution Conference． China: Dalian，2005．
［8］Huang K Y，Chin H C，Huang Y C． A model reference adaptive control strategy for interruptible load management［J］． IEEE Trans Power Syst，2004， 19( 1) : 683-689．
［9］于娜，芙蓉薇． 电力市场高峰时段可中断负荷优化购买模型［J］． 电力系统及其自动化学报，2010， 22( 4) : 89-93． Yu Na，Fu Rongwei． Optimization model of interruptible load dispatch during the peak load time period in the eariler power market［J］． Proceeding of the CSU-EPSA，2010， 22( 4) : 89-93． ( in Chinese)
［10］Kennedy J，Eberhart R． Particle swarm optimization［C］/ / Proc of the 1995 IEEE International Conference on Neural Networks． Australia: IEEE Service Center，1995: 1 942-1 948．
［11］Kennedy J，Eberhart R C． A discrete binary version of the particle swarm algorithm［C］/ / Proc of International Conference on System，Man and Cybernetic． Orlando: IEEE Press，1997: 4 104-4 108．

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Last Update: 2013-03-21