Genetic algorithms and non-intrusive energy management system based economic dispatch for cogeneration units

被引:33
作者
Chang, Hsueh-Hsien [1 ]
机构
[1] Jin Wen Univ Sci & Technol, Dept Elect Engn, Taipei, Taiwan
关键词
Neural network; Genetic algorithms; Economic dispatch; Non-intrusive energy management system; Cogeneration system; IDENTIFICATION; CONSUMPTION; PLANTS;
D O I
10.1016/j.energy.2010.10.054
中图分类号
O414.1 [热力学];
学科分类号
摘要
By integrating neural networks (NNs) with turn-on transient energy analysis, this work attempts to recognize demand load, including the buyers' load on the power systems and the internal load on the cogeneration systems, thereby increasing the recognition accuracy in a non-intrusive energy management (NIEM) system. Analysis results reveal that an NIEM system and a new method that is based on genetic algorithms (GA) can effectively manage energy demand in an optimal economic dispatch for cogeneration systems with multiple cogenerators, which generate power for buyers. Furthermore, the global optimum of economic dispatch under typical environmental and operating constraints of cogeneration systems is found using the proposed approach, which is based on genetic algorithms. Moreover, the use of the proposed GA-based method for economic dispatch can substantially reduce computational time, fuel cost, power cost and air pollution. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:181 / 190
页数:10
相关论文
共 29 条
[1]  
[Anonymous], 2013, Power generation, operation, and control
[2]  
[Anonymous], 1993, CONJOINT PATTERN REC
[3]   Genetic algorithm for pattern detection in NIALM systems [J].
Baranski, M ;
Voss, A .
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, :3462-3468
[4]   Applying a non-intrusive energy-management system to economic dispatch for a cogeneration system and power utility [J].
Chang, Hsueh-Hsien ;
Yang, Hong-Tzer .
APPLIED ENERGY, 2009, 86 (11) :2335-2343
[5]  
Chang HH, 2008, LECT NOTES COMPUT SC, V5236, P664
[6]  
Chapa MAG, 2004, 2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2, P989
[7]   Optimum operation for a back-pressure cogeneration system under time-of-use rates [J].
Chen, BK ;
Hong, CC .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (02) :1074-1082
[8]   Scheduling of cogeneration plants considering electricity wheeling using enhanced immune algorithm [J].
Chen, SL ;
Tsay, MT ;
Gow, HJ .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2005, 27 (01) :31-38
[9]   Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect [J].
Coelho, LS ;
Mariani, VC .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (02) :989-996
[10]   Nonintrusive identification of electrical loads in a three-phase environment based on harmonic content [J].
Cole, A ;
Albicki, A .
IMTC/2000: PROCEEDINGS OF THE 17TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE: SMART CONNECTIVITY: INTEGRATING MEASUREMENT AND CONTROL, 2000, :24-29