Multiobjective optimal power flow using a fuzzy based grenade explosion method

被引：20
作者：
Bouchekara H.R.E.H. [1 ,2 ]
Chaib A.E. [1 ]
Abido M.A. [3 ]
机构：
[1] Constantine Electrical Engineering Laboratory, LEC, Department of Electrical Engineering, University of Freres Mentouri Constantine, Constantine
[2] Laboratory of Electrical Engineering of Constantine, LGEC, Department of Electrical Engineering, University of Freres Mentouri Constantine, Constantine
[3] Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran
来源：
Energy Systems | 2016年 / 7卷 / 04期
关键词：
Fuzzy logic; Grenade explosion method; Multiobjective optimal power flow; Power system optimization;
D O I：
10.1007/s12667-016-0206-8
中图分类号：
学科分类号：
摘要：
The aim of this paper is to solve the multiobjective optimal power flow (MOPF) problem using a new metaheuristic that is the grenade explosion method. The MOPF problem is formulated by assuming that the decision maker may have a fuzzy goal for each of the objective functions. Six objectives are considered which are: the minimization of generation fuel cost, the improvement of voltage profile, the enhancement of voltage stability, the reduction of emission and the minimization of active and reactive transmission losses. The proposed approach has been tested on the IEEE 30-bus test system. The obtained results show the effectiveness of the proposed method. © 2016, Springer-Verlag Berlin Heidelberg.
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收藏
页码：699 / 721
页数：22
相关论文
共 45 条
[1]  
Cain M., O'neill R., Castillo A., History of optimal power flow and formulations, FERC Staff Tech, Pap., pp. 1-36, (2012)
[2]  
Glavitsch H., Bacher R., Optimal power flow algorithms, Anal. Control Syst. Tech. Electr. Power Syst, vol. 41. Acad. Press Inc, (1991)
[3]  
Sivasubramani S., Swarup K.S., Multiagent based differential evolution approach to optimal power flow, Appl. Soft Comput. J., 12, pp. 735-740, (2012)
[4]  
Frank S., Steponavice I., Rebennack S., Optimal power flow: a bibliographic survey I formulations and deterministic methods, Energy Syst., 3, pp. 221-258, (2012)
[5]  
Bai X., Wei H., Fujisawa K., Wang Y., Semidefinite programming for optimal power flow problems, Int. J. Electr. Power Energy Syst., 30, pp. 383-392, (2008)
[6]  
Gopalakrishnan A., Raghunathan A.U., Nikovski D., Biegler L.T., Global optimization of optimal power flow using a branch & bound algorithm, Commun. Control. Comput. (Allerton), 2012 50th Annu. Allert. Conf., pp. 609-616, (2012)
[7]  
AlRashidi M., El-Hawary M., Applications of computational intelligence techniques for solving the revived optimal power flow problem, Electr. Power Syst. Res., 79, pp. 694-702, (2009)
[8]  
Frank S., Steponavice I., Optimal power flow: a bibliographic survey II non-deterministic and hybrid methods, Energy Syst, pp. 259-289, (2012)
[9]  
Yuryevich J., Evolutionary programming based optimal power flow algorithm, IEEE Trans. Power Syst., 14, pp. 1245-1250, (1999)
[10]  
Paranjothi S.R., Anburaja K., Optimal power flow using refined genetic algorithm, Electr. Power Compon. Syst., 30, pp. 1055-1063, (2002)
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