Coordinated generation and transmission expansion planning in deregulated electricity market considering wind farms |
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| Affiliation: | 1. Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah, Iran;2. Department of Electrical Engineering, University of Isfahan, Isfahan, Iran;1. Department of Chemical Engineering, National Taiwan University of Science and Technology, 43, Keelung Rd., Sec. 4, Taipei 106-07, Taiwan;2. Department of Chemical Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Keputih Sukolilo, Surabaya 60111, Indonesia;3. Department of Chemical Engineering, Widya Mandala Surabaya Catholic University, Kalijudan 37, Surabaya 60114, Indonesia;4. Department of Chemical Engineering, University of San Carlos – Talamban Campus, Nasipit, Talamban, Cebu City 6000, Philippines;1. Andalusian Institute for Earth System Research, Universidad de Granada, Av. del Mediterráneo s/n., 18006 Granada, Spain;2. Universidad de Málaga, Escuela Técnica Superior de Ingeniería Industrial, Campus de Teatinos, 29071 Málaga, Spain;1. Department of Mechanical Engineering, Recep Tayyip Erdoğam University, 52349 Rize, Turkey;2. Department of Mechanical Engineering, Yildiz Technical University, 34349 Besiktas, Istanbul, Turkey;3. Department of Mechanical Engineering, Istanbul Aydın University, 34455 Florya, Istanbul, Turkey;1. Department of Architecture, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan;2. Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan |
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| Abstract: | This paper deals with a coordinated generation expansion planning (GEP)–transmission expansion planning (TEP) in competitive electricity market. In the proposed method, GEP and TEP are performed at the same time, with consideration of wind farm uncertainty. The uncertainty is modeled by normal probability distribution function (PDF) and Monte-Carlo simulation (MCS) is used to include the uncertainty into the problem. The planning is managed for two master and slave levels. At slave level, all generation company (GENCO) and transmission company (TRANSCO) maximize their profit and then at master level, the system constraints are checked by independent system operator (ISO). In other words, the proposed planning aims at maximizing the expected profit of all GENCOs and TRANSCOs, while considering security and reliability constraints such as reserve margin and loss of load expectation (LOLE). The proposed problem is a constrained, nonlinear, mixed-integer optimization programming and solved by using particle swarm optimization (PSO) method. Simulation results verify the effectiveness and validity of the proposed planning for maximizing GENCOs and TRANSCOs profit in the presence of wind farm uncertainty under electricity market. |
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| Keywords: | Competitive electricity market Generation expansion planning Transmission expansion planning Monte Carlo simulation Wind farms |
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