Demand Response Management in Power Systems Using Particle Swarm Optimization

被引：55
作者：
Faria, Pedro [1 ]
Vale, Zita [2 ]
Soares, Joao [3 ]
Ferreira, Judite [3 ]
机构：
[1] Polytech Porto, Sch Engn, Knowledge Engn & Decis Support Res Grp GECAD, Oporto, Portugal
[2] Polytech Porto, Sch Engn, Oporto, Portugal
[3] Polytech Porto, Sch Engn, GECAD, Oporto, Portugal
来源：
IEEE INTELLIGENT SYSTEMS | 2013年 / 28卷 / 04期
关键词：
demand response; distribution network; electricity markets; intelligent systems; particle swarm optimization; power systems; simulation;
D O I：
10.1109/MIS.2011.35
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Price-based demand response is applied to electric power systems. Demand elasticity and consumer response enables load reduction. The methodology is implemented in the DemSi demand response simulator. © 2001-2011 IEEE.
引用
收藏
页码：43 / 51
页数：9
相关论文
共 23 条
[1]   A summary of demand response in electricity markets [J].
Albadi, M. H. ;
El-Saadany, E. F. .
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (11) :1989-1996
[2]   A Survey of Particle Swarm Optimization Applications in Electric Power Systems [J].
AlRashidi, M. R. ;
El-Hawary, M. E. .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 13 (04) :913-918
[3]  
[Anonymous], P TRANSM DISTR C EXP
[4]  
[Anonymous], P INN SMART GRID TEC
[5]  
[Anonymous], 2002, Computational Intelligence an Introduction
[6]  
[Anonymous], 2008, Modern heuristic optimization techniques with applications to power systems
[7]  
[Anonymous], 1999, Swarm Intelligence
[8]  
[Anonymous], 1995, 1995 IEEE INT C
[9]  
[Anonymous], KEEPING LIGHTS NEW W
[10]  
Arnold RogerA., 2008, Economics
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