A primary unit commitment approach with a modification process

被引:13
作者
Amiri, Mohsen [1 ]
Khanmohammadi, Sohrab [2 ]
机构
[1] Islamic Azad Univ, Abhar branch, Dept Engn, Elect Engn Div, Abhar, Zanjan, Iran
[2] Univ Tabriz, Dept Elect & Comp Engn, Div Automat Control, Tabriz, Iran
关键词
Unit commitment problem; Primary UC; Economic dispatch; Modification process; OPTIMIZATION; ALGORITHM;
D O I
10.1016/j.asoc.2012.10.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper introduces an approach to one of the most important problems in electrical power system called the Unit Commitment (UC). The proposed method PUC-MP which stands for the primary unit commitment-modification process, addresses this problem firstly by using a simple and new priority for operating the generating units in each hour, and then, using a modification process which enhances the solution quality with lower cost. The PUC-MP takes advantage of both deterministic and stochastic algorithms in its structure to solve the discrete-variable part of the UC problem for choosing a suitable combination of units in each hour, and also, continuous-variable part of it which is dispatching the operating units' output power to the power network load economically. The latter part which is called economic dispatch (ED) has been solved using an intelligent algorithm which in turn has been customized by two new ideas to increase its efficiency. Simulation results show that this new approach even without using its modification process can be considered as an effective approach which surpasses some other popular and recently reported methods in producing near-optimal and robust solutions. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:1007 / 1015
页数:9
相关论文
共 35 条
[1]  
[Anonymous], 2003, IEEE POWER ENG SOC G
[2]   OPTIMAL LONG-TERM UNIT COMMITMENT IN LARGE-SCALE SYSTEMS INCLUDING FUEL CONSTRAINED THERMAL AND PUMPED-STORAGE HYDRO [J].
AOKI, K ;
ITOH, M ;
SATOH, T ;
NARA, K ;
KANEZASHI, M .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1989, 4 (03) :1065-1073
[3]  
Bums R. M., 1975, P IEEE POW ENG SOC S
[4]   Unit commitment by Lagrangian relaxation and genetic algorithms [J].
Cheng, CP ;
Liu, CW ;
Liu, GC .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (02) :707-714
[5]   A Solution to Unit Commitment Problem Using Hybrid Ant System/Priority List Method [J].
Chusanapiputt, Songsak ;
Nualhong, Dulyatat ;
Jantarang, Sujate ;
Phoomvuthisarn, Sukumvit .
2008 IEEE 2ND INTERNATIONAL POWER AND ENERGY CONFERENCE: PECON, VOLS 1-3, 2008, :1183-+
[6]   A solution to the unit-commitment problem using integer-coded genetic algorithm [J].
Damousis, IG ;
Bakirtzis, AG ;
Dokopoulos, PS .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (02) :1165-1172
[7]   Comparison among five evolutionary-based optimization algorithms [J].
Elbeltagi, E ;
Hegazy, T ;
Grierson, D .
ADVANCED ENGINEERING INFORMATICS, 2005, 19 (01) :43-53
[8]  
Eldin A. Safie, 2008, 2008 12th International Middle-East Power System Conference, P425, DOI 10.1109/MEPCON.2008.4562322
[9]   LARGE SCALE HYDRO-THERMAL UNIT COMMITMENT-METHOD AND RESULTS [J].
HAPP, HH ;
JOHNSON, RC ;
WRIGHT, WJ .
IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1971, PA90 (03) :1373-&
[10]   A novel straightforward unit commitment method for large-scale power systems [J].
Hosseini, Seyed Hamid ;
Khodaei, Amin ;
Aminifar, Farrokh .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (04) :2134-2143