Intelligent optimization algorithms for multi-period dispatch of interruptible loads

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control

Volumn 38, Issue 24, 2010, Pages 105-109

  Liu, Chang ^a   Zhang, Shao Hua ^b   Wang, Xian ^b  

^a CHINA PETROLEUM AND CHEMICAL CORPORATION   (China)

^b SHANGHAI UNIVERSITY   (China)

Author keywords

Combinatorial optimization problem; Discrete binary particle swarm optimization; Genetic algorithm; Multi period dispatch of interruptible loads

Indexed keywords

COMBINATORIAL OPTIMIZATION PROBLEMS; COUPLED CONSTRAINTS; DISCRETE BINARY; INTELLIGENT OPTIMIZATION ALGORITHM; INTERRUPTIBLE LOAD; MULTI OBJECTIVE; MULTI-PERIOD; MULTIOBJECTIVE COMBINATORIAL OPTIMIZATION; NUMERICAL SIMULATION; SIMULATION RESULT; SOLUTION METHODS; TIME-PERIODS;

COMBINATORIAL OPTIMIZATION; COMPUTER SIMULATION; ELECTRIC LOAD MANAGEMENT; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION; NUMERICAL METHODS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78751680123     PISSN: 16743415     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Tuan L A, Bhattacharya K. Competitive framework for procurement of interruptible load services [J]. IEEE Trans on Power Systems, 2003, 18(2): 889-897.
2. Huang K Y. Demand subscription services- an iterative dynamic programming for the substation suffering from capacity shortage [J]. IEEE Trans on Power Systems, 2003, 18(2): 947-953.
3. Huang K Y, Chin H C, Huang Y C. A model reference adaptive control strategy for interruptible load management [J]. IEEE Trans on Power Systems, 2004, 19(1): 683-689.
4. Wang Jian-Xue, Wang Xi-Fan, Wang Xiu-Li. Study on model of interruptible load contract in power market [J]. Proceedings of the CSEE, 2005, 25(9): 11-16.
5. Kennedy J, Eberhart R. A discrete binary version of the particle swarm optimization [C]. //Proceedings of IEEE International Conference on Systems, Man and Cybernetics. 1997: 4104-4108.
6. Galing Zwe-Lee. Discrete particle swarm optimization algorithm for unit commitment [C]. //Proceedings of IEEE Power Engineering Society General Meeting. Toronto (Canada): 2003: 418-424.
7. Liu Yong, Hou Zhi-Jian, Jiang Chuan-Wen. Unit commitment via an enhanced binary particle swarm optimization algorithm [J]. Automation of Electric Power Systems, 2006, 30(4): 35-39
8. Kazarlis S A, Bakitrtzis A G, Petridis V. A genetic algorithm solution to the unit commitment problem [J]. IEEE Trans on Power Systems, 1996, 11(1): 83-92.
9. Wang Jian-Xue, Wang Xi-Fan, Zhang Xian, et al. Interruptible load management in power market and interim system-operation of interruptible load [J]. Electric Power Automation Equipment, 2004, 24(6): 1-5.
10. Coello C A. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art [J]. Computer Methods in Applied Mechanics and Engineering, 2002, 191(11-12): 1245-1287.
11. Zhang Shao-Hua, Fang Yong, Li Yu-Zeng. Incentive mechanism design in electricity markets [J]. Power Systems Technology, 2003, 27(1): 52-56.
12. Fang Yong, Zhang Shao-Hua, Li Yu-Zeng. An incentive compatible contract for interruptible load management in electricity markets [J]. Automation of Electrical Power Systems, 2003, 27(14): 23-26.