IGDT‐based robust decision making applied to merchant‐based transmission expansion planning

作者: Hossein Ranjbar , Seyed Hamid Hosseini

DOI: 10.1002/ETEP.2230

关键词: Investment (macroeconomics)Order (exchange)Operations researchMonopolyTransmission systemEngineeringOptimization problemDecision theoryElectric power systemRobust decision-making

摘要: Summary Deregulation in power systems has created new uncertainties and increased the previous ones. The presence of these causes transmission network to remain monopoly private investors not being interested investing this section. This paper presents a merchant-based expansion planning (TEP) formulation from viewpoint investors. information-gap decision theory (IGDT) is used model inherent associated with estimated investment cost candidate lines forecasted system load NSGAII utilized solve multi-objective optimization problem. algorithm helps select best for uncertainties. In order verify effectiveness proposed method, it been applied IEEE RTS 24-bus simplified Iranian 400-kV system. Copyright © 2016 John Wiley & Sons, Ltd.

参考文章(37)
A. Capasso, A. Cervone, R. Lamedica, L. Palagi, A new deterministic approach for transmission system planning in deregulated electricity markets International Journal of Electrical Power & Energy Systems. ,vol. 73, pp. 1070- 1078 ,(2015) , 10.1016/J.IJEPES.2015.06.021
M. R. Habibi, M. Rashidinejad, M. Zeinaddini-Meymand, R. Fadainejad, An efficient scatter search algorithm to solve transmission expansion planning problem using a new load shedding index International Transactions on Electrical Energy Systems. ,vol. 24, pp. 153- 165 ,(2014) , 10.1002/ETEP.1678
Mojtaba Shivaie, Mohammad S. Sepasian, Mohammad K. Sheikh-El-Eslami, Multi‐objective transmission expansion planning based on reliability and market considering phase shifter transformers by fuzzy‐genetic algorithm International Transactions on Electrical Energy Systems. ,vol. 23, pp. 1468- 1489 ,(2013) , 10.1002/ETEP.1672
M. Kazemi, B. Mohammadi-Ivatloo, M. Ehsan, Risk-based bidding of large electric utilities using Information Gap Decision Theory considering demand response Electric Power Systems Research. ,vol. 114, pp. 86- 92 ,(2014) , 10.1016/J.EPSR.2014.04.016
Shahab Dehghan, Ahad Kazemi, Nima Amjady, Multi‐objective robust transmission expansion planning using information‐gap decision theory and augmented ɛ‐constraint method Iet Generation Transmission & Distribution. ,vol. 8, pp. 828- 840 ,(2014) , 10.1049/IET-GTD.2013.0427
Alireza Soroudi, Mehdi Ehsan, IGDT Based Robust Decision Making Tool for DNOs in Load Procurement Under Severe Uncertainty IEEE Transactions on Smart Grid. ,vol. 4, pp. 886- 895 ,(2013) , 10.1109/TSG.2012.2214071
Sayyad Nojavan, Kazem Zare, Risk-based optimal bidding strategy of generation company in day-ahead electricity market using information gap decision theory International Journal of Electrical Power & Energy Systems. ,vol. 48, pp. 83- 92 ,(2013) , 10.1016/J.IJEPES.2012.11.028
Z. Xu, Z.Y. Dong, K.P. Wong, Transmission planning in a deregulated environment IEE Proceedings - Generation, Transmission and Distribution. ,vol. 153, pp. 326- 334 ,(2006) , 10.1049/IP-GTD:20050201
R. Romero, C. Rocha, J.R.S. Mantovani, I.G. Sanchez, Constructive heuristic algorithm for the DC model in network transmission expansion planning IEE Proceedings - Generation, Transmission and Distribution. ,vol. 152, pp. 277- 282 ,(2005) , 10.1049/IP-GTD:20041196
C. Grigg, P. Wong, P. Albrecht, R. Allan, M. Bhavaraju, R. Billinton, Q. Chen, C. Fong, S. Haddad, S. Kuruganty, W. Li, R. Mukerji, D. Patton, N. Rau, D. Reppen, A. Schneider, M. Shahidehpour, C. Singh, The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee IEEE Transactions on Power Systems. ,vol. 14, pp. 1010- 1020 ,(1999) , 10.1109/59.780914