Determination of optimum generation level in DTEP using a GA-based quadratic programming

Energy Conversion and Management

Volumn 52, Issue 1, 2011, Pages 382-390

  Haddadian, H ^a   Hosseini, S H ^a   Shayeghi, H ^b   Shayanfar, H A ^c  

^a UNIVERSITY OF ZANJAN   (Iran)

^b UNIVERSITY OF MOHAGHEGH ARDABILI   (Iran)

^c IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Dynamic transmission expansion planning; GA; Generation level; Quadratic programming

Indexed keywords

CIRCUIT THEORY; ELECTRIC LOAD FLOW; ELECTRIC NETWORK ANALYSIS; GALLIUM; QUADRATIC PROGRAMMING; RELIABILITY ANALYSIS; SENSITIVITY ANALYSIS;

DYNAMIC TRANSMISSION EXPANSION PLANNING (DTEP); GENERATION LEVEL; GENERATOR CAPACITY; LINE OUTAGE DISTRIBUTION FACTORS; NETWORK RELIABILITY; PROBLEM SOLUTIONS; REALISTIC SYSTEMS; TRANSMISSION EXPANSION PLANNING;

GENETIC ALGORITHMS;

EID: 80054764097     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2010.07.013     Document Type: Conference Paper

References (20)

1. Wang X, McDonald JR. Modern power system planning. Cambridge, UK: McGraw-Hill Book Company; 1994.
2. Jalilzadeh S, Kazemi A, Shayeghi H, Mahdavi M. Technical and economic evaluation of voltage level in transmission network expansion planning using GA. Energy Convers Manage 2008;49(5):1119-25. (Pubitemid 351389581)
3. Asada EN, Carreno E, Romero R, Garcia AV. A branch and bound algorithm for multi-stage transmission expansion planning. In: Proceedings of the IEEE power engineering society general meeting, vol. 1;2005. p. 171-76. (Pubitemid 41496916)
4. Lee CW, Simon KKNg, Zhong J, Wu FF. Transmission expansion planning from past to future. In: Proceedings of the IEEE power systems conference and exposition; 2006. p. 257-65.
5. Youseef HKM. Dynamic transmission planning using a constrained genetic algorithm. Int J Electr Power Energy Syst 2001;23:857-62.
6. Da Silva AML, Sales WS, Resende LC, Manso LAF, Sacramento CE, Rezende LS. Evolution strategies to transmission expansion planning considering unreliability costs. In: Proceedings of international conference on probabilistic methods applied to power systems; 2006. p. 1-7.
7. Wang XL, Wang XF, Mao YB. Improved genetic algorithm for optimal multistage transmission system planning. In: Proceedings of the IEEE power engineering society general meeting, vol. 3;2001. p. 1737-42.
8. Ceciliano JL, Nieva R. Transmission network planning using evolutionary programming. In: Proceedings of the evolutionary computing congress, vol. 3;1999. p. 1803-09.
9. Romero R, Asada EN, Carreno E, Rocha C. Constructive heuristic algorithm in branch-and-bound structure applied to transmission network expansion planning. In: Proceedings of the IEEE power engineering society general meeting, vol. 1;2007. p. 318-23. (Pubitemid 46582800)
10. Binato S, De Oliveira GC, De Araujo JL. A greedy randomized adaptive search procedure for transmission expansion planning. IEEE Trans Power Syst 2001;16(2):247-53. (Pubitemid 32444284)
11. Fonseka J, Miranda V. A hybrid meta-heuristic algorithm for transmission expansion planning. Int J Comput Math Electr Electron Eng 2002;23(1):250-62.
12. Samarakoon HMDRH, Shrestha RM, Fujiwara O. A mixed integer linear programming model for transmission expansion planning with generation location selection. Int J Electr Power Energy Syst 2001;23:285-93. (Pubitemid 32273101)
13. Levi VA, Calovic MS. A new decomposition based method for optimal expansion planning of large transmission networks. IEEE Trans Power Syst 1991;6(3):937-43.
14. Shayeghi H, Jalilzadeh S, Mahdavi M, Haddadian H. Studying influence of two effective parameters on network losses in transmission expansion planning using DCGA. Energy Convers Manage 2008;49:3017-24.
15. Woodand AJ, Wollenberg BF. Power generation operation and control. Wiley: New York; 1996.
16. Jalilzadeh S, Shayeghi H, Haddadian H. Integrating generation and transmission networks reliability for unit commitment solution. Energy Convers Manage 2009;50:777-85.
17. Silvestre A, Braga D, Saraiva JT. A multiyear dynamic approach for transmission expansion planning and long-term marginal costs computation. IEEE Trans Power Syst 2005;20(3):1631-9. (Pubitemid 41300978)
18. Syswerda A. Uniform crossover in genetic algorithms. In: Proceedings of the third international conference on genetic algorithms; 1989. p. 2-9.
19. Power and Energy Estimation Group. Detailed statistics of the electric industry, Tavanir Company, Iran; 2006.
20. .