Binary whale optimization algorithm: a new metaheuristic approach for profit-based unit commitment problems in competitive electricity markets

References

• Ahmed, M. M., E. H. Houssein, A. E. Hassanien, A. Taha, and E. Hassanien. 2018. “Maximizing Lifetime of Wireless Sensor Networks Based on Whale Optimization Algorithm.” Advances in Intelligent Systems and Computing 639: 724–733. doi: 10.1007/978-3-319-64861-3_68
   Google Scholar
• Amudha, A., and C. Christober Asir Rajan. 2014. “Integrating Gradient Search, Logistic Regression and Artificial Neural Network for Profit Based Unit Commitment.” International Journal of Computational Intelligence Systems 7 (1): 90–104. doi: 10.1080/18756891.2013.862355
   Web of Science ®Google Scholar
• Attaviriyanupap, Pathom, Hiroyuki Kita, Eiichi Tanka, and Jun Hasegawa. 2003. “A Hybrid LR-EP for Solving New Profit Based UC Problem Under Competitive Environment.” IEEE Transactions on Power Systems 18 (1): 229–237. doi: 10.1109/TPWRS.2002.807080
   Web of Science ®Google Scholar
• Balci, H., and J. Valenzuela. 2004. “Scheduling Electric Power Generations Using Particle Swarm Optimization Combined with the Lagrangian Relaxation Method.” International Journal of Applied Mathematics and Computer Science 14 (3): 411–421.
   Google Scholar
• BBC. 2009. “Bubble net feeding/fishing.” http://www.bbc.co.uk/programmes/p005lnvw
   Google Scholar
• Chandram, K., N. Subrahmanyam, and M. Sydulu. 2009. “Improved Pre-prepared Power Demand Table and Muller’s Method to Solve the Profit Based Unit Commitment Problem.” Journal of Electrical Engineering & Technology 4 (2): 159–167. doi: 10.5370/JEET.2009.4.2.159
   Web of Science ®Google Scholar
• Columbus, C. Christopher, K. Chandrasekaran, and Sishaj P. Simon. 2012. “Nodal Ant Colony Optimization for Solving Profit Based Unit Commitment Problem for GENCOs.” Applied Soft Computing 12 (1): 145–160. doi: 10.1016/j.asoc.2011.08.057
   Web of Science ®Google Scholar
• Columbus, C. Christopher, and Sishaj P. Simon. 2012. “A Profit Based Unit Commitment: A Parallel ABC Approach Using a Workstation Cluster.” Computers and Electrical Engineering 38 (3): 724–745. doi: 10.1016/j.compeleceng.2011.09.002
   Web of Science ®Google Scholar
• Columbus, C. Christopher, and Sishaj P. Simon. 2013. “Profit Based Unit Commitment for GENCOs Using Parallel NACO in a Distributed Cluster.” Swarm and Evolutionary Computation 10: 41–58. doi: 10.1016/j.swevo.2012.11.005
   Web of Science ®Google Scholar
• Derakhshandeh, S. Y., M. E. H. Golshan, and M. A. S. Masoum. Nov. 2013. “Profitbased Unit Commitment with Security Constraints and Fair Allocation of Cost Saving in Industrial Microgrids.” IET Science, Measurement & Technology 7 (6): 315–325. doi: 10.1049/iet-smt.2013.0044
   Web of Science ®Google Scholar
• Dhifaoui, C., T. Guesmi, and H. H. Abdallah. 2015. “MOPSO Approach to Solve Profit Based Unit Commitment Problem (PBUCP).” 2015 4th international conference on systems and control (ICSC), Sousse, 175–182.
   Google Scholar
• Ghadi, M. Jabbari, A. Baghramian, and M. Hosseini Imani. 2016. “An ICA Based Approach for Solving Profit Based Unit Commitment Problem Market.” Applied Soft Computing 38 (1): 487–500. doi: 10.1016/j.asoc.2015.10.026
   Web of Science ®Google Scholar
• Henderson, Colin. Increasing the flexibility of coal-fired power plants, IEA Clean Coal Centre, September 2014. Available [online]: https://www.usea.org/sites/default/files/092014_Increasing%20the%20flexibility%20of%20coal-fired%20power%20plants_ccc242.pdf
   Google Scholar
• Larsen, Erik R., Ann van Ackere, and Isaac Dyner. 2007. “Introduction to the Special Issue: The Deregulation of Electricity Markets.” Socio-Economic Planning Sciences 41 (4): 269–271. doi: 10.1016/j.seps.2006.07.001
   Google Scholar
• Li, Tao, and Mohammad Shahidehpour. 2005. “Price Based Unit Commitment: A Case of Lagrangian Relaxation Versus Mixed Integer Programming.” IEEE Transactions on Power Systems 20 (4): 2015–2025. doi: 10.1109/TPWRS.2005.857391
   Web of Science ®Google Scholar
• Mafarja, Majdi M., and Seyedali Mirjalili. 2017. “Hybrid Whale Optimization Algorithm with Simulated Annealing for Feature Selection.” Neurocomputing 260: 302–312. doi: 10.1016/j.neucom.2017.04.053
   Web of Science ®Google Scholar
• Mirjalili, Seyedali, and Andrew Lewis. 2013. “S-Shaped Versus V-Shaped Transfer Functions for Binary Particle Swarm Optimization.” Swarm and Evolutionary Computation 9: 1–14. doi: 10.1016/j.swevo.2012.09.002
   Web of Science ®Google Scholar
• Mirjalili, Seyedali, and Andrew Lewis. 2016. “The Whale Optimization Algorithm.” Advances in Engineering Software 95: 51–67. doi: 10.1016/j.advengsoft.2016.01.008
   Web of Science ®Google Scholar
• Mori, H., and K. Okawa. 2009. “A New Meta-Heuristic, Method for Profit-Based Unit Commitment Under Competitive Environment.” IEEE Bucharest power tech conference, 1–6.
   Google Scholar
• Oliva, Diego, Mohamed Abd El Aziz, and Aboul Ella Hassanien. 2017. “Parameter Estimation of Photovoltaic Cells Using an Improved Chaotic Whale Optimization Algorithm.” Applied Energy 200: 141–154. doi: 10.1016/j.apenergy.2017.05.029
   Web of Science ®Google Scholar
• Panwar, L. K., S. K. Reddy, and R. Kumar. 2015. “Binary Fireworks Algorithm Based Thermal Unit Commitment.” International Journal of Swarm Intelligence Research 6 (2): 87–101. doi: 10.4018/IJSIR.2015040104
   Web of Science ®Google Scholar
• Prakash, D. B., and C. Lakshminarayana. 2016. “Optimal Siting of Capacitors in Radial Distribution Network Using Whale Optimization Algorithm.” Alexandria Engineering Journal 56 (4): 499–509. doi: 10.1016/j.aej.2016.10.002
   Web of Science ®Google Scholar
• Raglend, I. Jacob, C. Raghuveer, G. Rakesh Avinash, N. P. Padhy, and D. P. Kothari. 2010. “Solution to Profit Based Unit Commitment Problem Using Particle Swarm Optimization.” Applied Soft Computing 10 (4): 1247–1256. doi: 10.1016/j.asoc.2010.05.006
   Web of Science ®Google Scholar
• Rama Krishna, P. V., and Sukhdeo Sao. 2016. “An Improved TLBO Algorithm to Solve Profit Based Unit Commitment Problem Under Deregulated Environment.” Procedia Technology 25: 652–659. doi: 10.1016/j.protcy.2016.08.157
   Google Scholar
• Reddy, K. Srikanth, Lokesh Kumar Panwar, Rajesh Kumar, and B. K. Panigrahi. 2016. “Binary Fireworks Algorithm for Profit Based Unit Commitment (PBUC) Problem.” International Journal of Electrical Power & Energy Systems 83: 270–282. doi: 10.1016/j.ijepes.2016.04.005
   Web of Science ®Google Scholar
• Richter, C. W., and G. B. Sheble. 2000. “A Profit-Based Unit Commitment GA for the Competitive Environment.” IEEE Transactions on Power Systems 15 (2): 715–721. doi: 10.1109/59.867164
   Web of Science ®Google Scholar
• Rudkevich, Aleksandr, and Max Duckworth. 1998. “Strategic Bidding in a Deregulated Generation Market: Implications for Electricity Prices, Asset Valuation and Regulatory Response.” The Electricity Journal 11 (1): 73–83. doi: 10.1016/S1040-6190(98)80026-2
   Google Scholar
• Sadeghian, H. R., and M. M. Ardehali. 2016. “A Novel Approach for Optimal Economic Dispatch Scheduling of Integrated Combined Heat and Power Systems for Maximum Economic Profit and Minimum Environmental Emissions Based on Benders Decomposition.” Energy 102: 10–23. doi: 10.1016/j.energy.2016.02.044
   Web of Science ®Google Scholar
• Sharma, Deepak, Anupam Trivedi, Dipti Srinivasan, and Logenthiran Thillainathan. 2013. “Multi-agent Modeling for Solving Profit Based Unit Commitment Problem.” Applied Soft Computing 13 (8): 3751–3761. doi: 10.1016/j.asoc.2013.04.001
   Web of Science ®Google Scholar
• Shukla, A., V. N. Lal, and S. N. Singh. 2015. “Profit-Based Unit Commitment Problem Using PSO with Modified Dynamic Programming.” 18th international conference on intelligent system application to power systems (ISAP), Porto, 1–6.
   Google Scholar
• Singhal, P. K., R. Naresh, and V. Sharma. 2015. “Binary Fish Swarm Algorithm for Profit-Based Unit Commitment Problem in Competitive Electricity Market with Ramp Rate Constraints.” IET Generation, Transmission & Distribution 9 (13): 1697–1707. doi: 10.1049/iet-gtd.2015.0201
   Web of Science ®Google Scholar
• Sriyanyong, P. 2010. “Application of Particle Swarm Optimization Technique to a Profit-Based Unit Commitment Problem.” 2nd international conference on education technology and computer (ICETC), 1–6.
   Google Scholar
• Sudhakar, A. V. V., K. Chandram, and A. J. Laxmi. 2014. “Lagrange Relaxation–Invasive Weed Optimization for Profit Based Unit Commitment.” Power India international conference (PIICON), 1–6.
   Google Scholar
• Sudhakar, A. V. V., Chandram Karri, and A. Jaya Laxmi. 2017. “Profit Based Unit Commitment for GENCOs Using Lagrange Relaxation–Differential Evolution.” International Journal Engineering Science and Technology 20 (2): 738–747. doi: 10.1016/j.jestch.2016.11.012
   Web of Science ®Google Scholar
• Tehzeeb-ul-Hassan, H., and Ayaz Ahmad. 2013. “Profit Based Unit Commitment and Economic Dispatch of IPPs with New Technique.” International Journal of Electrical Power & Energy Systems 44 (1): 880–888. doi: 10.1016/j.ijepes.2012.08.039
   Web of Science ®Google Scholar
• Vaisakh, K., and L. R. Srinivas. 2011. “Evolving Ant Colony Optimization Based Unit Commitment.” Applied Soft Computing 11 (2): 2863–2870. doi: 10.1016/j.asoc.2010.11.019
   Web of Science ®Google Scholar
• Victoire, T. A. A., and A. E. Jeyakumar. 2005. “Unit Commitment by a Tabu-Search-Based Hybrid-Optimization Technique.” IEE Proceedings – Generation, Transmission and Distribution 152: 563–570. doi: 10.1049/ip-gtd:20045190
   Web of Science ®Google Scholar
• Virmani, S., E. C. Adrin, K. Imhof, and S. Mukherjee. 1989. “Implementation of a Lagrangian Relaxation Based Unit Commitment Problem.” IEEE Transactions on Power Systems 4 (4): 1373–1380. doi: 10.1109/59.41687
   Web of Science ®Google Scholar
• Yamin, H. Y., and S. M. Shahidehpour. 2004. “Unit Commitment Using a Hybrid Model Between Lagrangian Relaxation and Genetic Algorithm in Competitive Electricity Markets.” Electric Power Systems Research 68: 83–92. doi: 10.1016/S0378-7796(03)00147-0
   Web of Science ®Google Scholar
• Zhuang, F., and F. D. Galina. 1988. “Towards a More Rigorous and Practical Unit Commitment by Lagrangian Relaxation.” IEEE Transactions on Power Systems 3 (2): 763–773. doi: 10.1109/59.192933
   Web of Science ®Google Scholar