Generation expansion planning (also known as GEP) is finding an optimal solution for the planning problem in which the installation of new generation units satisfies both technical and financial limits.[1][2] GEP is a challenging problem because of the large scale, long-term and nonlinear nature of generation unit size.[3] Due to lack of information, companies have to solve this problem in a risky environment because the competition between generation companies for maximizing their benefit make them to conceal their strategies.[1] Under such an ambiguous condition, various nonlinear solutions have been proposed to solve this sophisticated problem.[4] These solutions are based on different strategies including: game theory,[5] two-level game model,[6] multi-agent system,[1] genetic algorithm,[4] particle swarm optimization[7] and so forth.
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editReferences
edit- ^ a b c Kazemi, Hamidreza Moayed, Sahand Ghaseminejad Liasi, and Mohammadkazem Sheikh-El-Eslami. "Generation Expansion Planning Considering Investment Dynamic of Market Participants Using Multi-agent System." In 2018 Smart Grid Conference (SGC), pp. 1-6. IEEE, 2018.
- ^ Chunyu Zhang; Ding, Yi; Ostergaard, Jacob; Wu, Qiuwei (2019-09-10). "Generation expansion planning considering integrating large-scale wind generation" (PDF). IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. pp. 2051–2056. doi:10.1109/IECON.2013.6699447. ISBN 978-1-4799-0224-8. S2CID 7991898.
- ^ Jinxiang Zhu; Mo-Yuen Chow (2019-09-10). "A review of emerging techniques on generation expansion planning". IEEE Transactions on Power Systems. 12 (4): 1722–1728. doi:10.1109/59.627882.
- ^ a b Park, Jong-Bae, Young-Moon Park, Jong-Ryul Won, and Kwang Y. Lee. "An improved genetic algorithm for generation expansion planning." IEEE Transactions on Power Systems 15, no. 3 (2000): 916-922.
- ^ Y.Tohidi, L. Olmos, M. Rivier and M. Hesamzadeh, "Coordination of generation and transmission development through generation transmission charges - a game theoretical approach," IEEE Transactions on Power Systems, vol. 32, no. 2, pp. 1103 - 1114, 2017.
- ^ V. Nanduri, T. K. Das and P. Rocha, "Generation capacity expansion in energy markets using a two-level game-theoretic model," IEEE trans. power sys, vol.24, no.3, pp.1165,1172, 2009.
- ^ Kannan, S., S. Mary Raja Slochanal, P. Subbaraj, and Narayana Prasad Padhy. "Application of particle swarm optimization technique and its variants to generation expansion planning problem." Electric Power Systems Research 70, no. 3 (2004): 203-210.