Coordinated generation and transmission expansion planning in deregulated electricity market considering wind farms. (January 2016)

• Record Type: Journal Article
• Authors: Hemmati, Reza; Hooshmand, Rahmat-Allah; Khodabakhshian, Amin
• Is Part Of: Renewable energy. Volume 85(2016)
• Page Start: 620
• Page End: 630
• Publication Date: 2016-01
• Subjects: Competitive electricity market -- Generation expansion planning -- Transmission expansion planning -- Monte Carlo simulation -- Wind farms; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2015.07.019
• Languages: English
• ISSNs: 0960-1481

Abstract

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. Highlights: Coordinated expansion of generation and transmission systems is presented in deregulated electricity market. Wind farm uncertainty is modeled by a probability distribution function and Monte-Carlo simulation. The problem is solved using two levels as slave and master levels. The profit of each GENCO and TRANSCO is maximized in the slave level. Safe operation of system is satisfied in the master level.