Integrating Gradient Search, Logistic Regression and Artificial Neural Network for Profit Based Unit Commitment

References

• Wood A.J. and Wollenberg B.F. (1996), Power Generation Operation and Control, 2nd ed. New York: Wiley.
   Google Scholar
• Maifeld T. and Sheble G. (1996), Genetic-based unit commitment, IEEE Transactions on Power Systems, 11(3), pp. 1359.
   Web of Science ®Google Scholar
• Allen E.H. and IIic M.D. (2000), Reserve markets for power system reliability, IEEE Trans. Power systems, 15, pp. 228-233.
   Google Scholar
• Richter C.W. Jr. and Sheble G.B. (2000), A profit- based unit commitment GA for the competitive environment, IEEE Trans. Power Systems, 15, pp. 715-721.
   Google Scholar
• Attaviriyanupap P., Kita H., Tanaka E., and Hasegawa J., A hybrid evolutionary programming for solving thermal unit commitment problem,” in Proc.12^th Annual Conference Power and Energy Society Institution of .Electrical .Engineers, Japan.
   Google Scholar
• Attaviriyanupap P., Kita H., Tanaka E., and Hasegawa J. (2003), A Hybrid LR-EP for solving new profit- Based UC Problem Under competitive Environment, IEEE Transactions on Power Systems, 18, pp. 229-237.
   Google Scholar
• Narayana Prasad Padhy (2004), Unit Commitment—A Bibliographical Survey, IEEE Trans. Power systems, 19(2).
   Web of Science ®Google Scholar
• Saadat H. (2002), Power System Analysis, 2nd Ed. Milwaukee: McGraw- Hill, pp. 189-313.
   Google Scholar
• Christober Asir Rajan C.and Mohan M.R. (2004), An Evolutionary Programming – Based Tabu Search Method For Solving The unit Commitment Problem, IEEE Transactions On Power Systems, 19(1)
   Web of Science ®Google Scholar
• Li, T., and Shahidehpour, M. (2005), Price- based unit commitment: A case of lagrangian relaxation versus mixed integer programming, IEEE Transaction on Power System, 20(4), pp. 2015-2025.
   Web of Science ®Google Scholar
• Chandram K., Subrahmanyam N. (2008), New approach with Muller method for Profit Based Unit Commitment, Proceedings of IEEE Power Systems, pp. 1-8.
   Google Scholar
• Yamin H., Al-Agtash S., and Shahidehpour M. (2004), Security-constrained optimal generation scheduling for GENCOs, IEEE Transactions on Power Systems, 19(3), pp. 1365-1372.
   Web of Science ®Google Scholar
• Yamin H.Y., Tao Li, and Mohammad Shahidehpour (2005), Fuzzy self-scheduling for Gencos, IEEE Transactions on Power Systems, 20(1), pp. 503-505.
   Web of Science ®Google Scholar
• Zuyi Li, and Mohammad Shahidehpour (2005), Security-Constrained Unit Commitment for Simultaneous Clearing of Energy and Ancillary Services Markets, IEEE Transactions on Power Systems, 20(2), pp. 1079–1088.
   Web of Science ®Google Scholar
• Yamin H.Y., EI-Dwairi Q, Shahidehpour S.M. (2007), A new approach for Gencos profit based unit commitment in day-ahead competitive electricity markets considering reserve uncertainty, IEEE Transactions on Power Systems, 29, pp. 609—616.
   Google Scholar
• Maria Dicorato, Giuseppe Forte, Michele Trovato and Ettore Carusod (2009), Risk-Constrained Profit Maximization in Day-Ahead Electricity Market, IEEE Transactions on Power Systems, 24(3), pp. 1107-1114.
   Web of Science ®Google Scholar
• Lau T.W., Chung C.Y., Wong K.P., Chung T.S. and Ho S.L. (2009), Quantum-Inspired Evolutionary Algorithm Approach for Unit Commitment, IEEE Transactions on Power Systems, 24(3), pp. 1503-1512.
   Web of Science ®Google Scholar
• Pablo A. Ruiz, C. Russ Philbrick, and Peter W. Sauer (2010), Modeling Approaches for Computational Cost Reduction in Stochastic Unit Commitment Formulations, IEEE Transactions on Power Systems, 25(1), pp. 588–589.
   Web of Science ®Google Scholar
• Takeshi Seki, Nobuo Yamashita, and Kaoru Kawamoto (2010), New Local Search Methods for Improving the Lagrangian-Relaxation-Based Unit Commitment Solution, IEEE Transactions on Power Systems, 25(1), pp. 272–283
   Web of Science ®Google Scholar
• Yun-Won Jeong, Jong-Bae Park, Se-Hwan Jang, and Kwang Y. Lee (2010), A New Quantum-Inspired Binary PSO: Application to Unit Commitment Problems for Power Systems, IEEE Transactions on Power Systems,. 25(3), pp. 1486-1495
   Web of Science ®Google Scholar
• Amin Khodaei and Mohammad Shahidehpour (2010), Transmission Switching in Security-Constrained Unit Commitment, IEEE Transactions on Power Systems,. 25(4), pp. 1937-1945.
   Web of Science ®Google Scholar
• Ting,T.O and Rao, M.V.C. (2006) ‘A Novel Approach for Unit Commitment Problem via an Effective Hybrid Particle Swarm Optimization’ IEEE Transactions On Power Systems, Vol. 21, No. 1, pp.411-418.
   Web of Science ®Google Scholar
• Jing Yu, Jianzhong Zhou, Wei Wu, and Junjie Yang, Wei Yu (2004), Solution of The Profit-Based Unit Commitment Problem By Using Multi-Agent System, Proceedings of 5^th World Congress on intelligent Control and Automation, pp.5079-5083.
   Google Scholar
• Bavafa M, Navidi, N, Monsef, H, A new approach for Profit-Based Unit Commitment using Lagrangian relaxation combined with ant colony search algorithm, Proceedings of IEEE Power Systems.
   Google Scholar
• Yuan Xiaohui., Yuan Yanbin, Wang Cheng,and Zhang Xiaopan (2005),An Improved PSO Approach for Profit – based Unit Commitment in Electricity Market, in IEEE Proceedings of Transmission and Distribution Conference, pp.1-4.
   Google Scholar
• Victorie T.A.A., and Jeyakumar A.E. (2005),Unit commitment by a tabu- search-based hybrid- optimization Technique, IEE Proceedings of Generation, Transmission, Distribution, pp.563-574.
   Google Scholar