View source for Generation expansion planning

'''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.<ref name="Kazemi">Kazemi, Hamidreza Moayed, Sahand Ghaseminejad Liasi, and Mohammadkazem Sheikh-El-Eslami. [https://ieeexplore.ieee.org/abstract/document/8777904 "Generation Expansion Planning Considering Investment Dynamic of Market Participants Using Multi-agent System."] In 2018 Smart Grid Conference (SGC), pp. 1-6. IEEE, 2018.</ref><ref name="IEEE Conference Publication 2019">{{cite book | chapter=Generation expansion planning considering integrating large-scale wind generation | date=2019-09-10 | doi=10.1109/IECON.2013.6699447 | isbn=978-1-4799-0224-8 | chapter-url=https://backend.orbit.dtu.dk/ws/files/63705314/Generation%20Expansion%20Planning%20Considering%20Integrating%20Large-scale%20Wind%20Generation.pdf | title=IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society | last1=Chunyu Zhang | last2=Ding | first2=Yi | last3=Ostergaard | first3=Jacob | last4=Wu | first4=Qiuwei | pages=2051–2056 | s2cid=7991898 }}</ref> GEP is a challenging problem because of the [[large scale]], [[long-term]] and [[nonlinear]] nature of generation unit size.<ref name="IEEE Journals & Magazine 2019">{{cite journal | title=A review of emerging techniques on generation expansion planning | date=2019-09-10 | doi=10.1109/59.627882 | url=http://www.lib.ncsu.edu/resolver/1840.2/621 | last1=Jinxiang Zhu | last2=Mo-Yuen Chow | journal=IEEE Transactions on Power Systems | volume=12 | issue=4 | pages=1722–1728 }}</ref> Due to lack of information, companies have to solve this problem in a risky environment because the competition between [[Generation company|generation companies]] for maximizing their benefit make them to conceal their strategies.<ref name="Kazemi"/> Under such an ambiguous condition, various nonlinear solutions have been proposed to solve this sophisticated problem.<ref name="Park">Park, Jong-Bae, Young-Moon Park, Jong-Ryul Won, and Kwang Y. Lee. [https://ieeexplore.ieee.org/abstract/document/871713"An improved genetic algorithm for generation expansion planning."] IEEE Transactions on Power Systems 15, no. 3 (2000): 916-922.</ref> These solutions are based on different strategies including: [[game theory]],<ref>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.</ref>  two-level game model,<ref>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.</ref> [[multi-agent system]],<ref name="Kazemi"/> [[genetic algorithm]],<ref name="Park"/> [[particle swarm optimization]]<ref name="Kannan">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.</ref> and so forth.

==See also==
*[[Demand response]]
*[[power system]]

==References==
{{reflist|2}}

[[Category:Electric power generation]]
[[Category:Planning]]
[[Category:Power engineering]]