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Unit commitment problem in deregulated environment
Affiliation:1. PE Elektroprivreda of Bosnia and Herzegovina, 71000 Sarajevo, Bosnia and Herzegovina;2. Faculty of Electrical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina;1. Quantcast, San Francisco, CA, USA;2. Operations Research, North Carolina State University, Raleigh, NC, USA;3. The Department of Computer Science, North Carolina State University, Raleigh, NC 27695-8206, USA;4. King Abdulaziz University, Saudi Arabia;1. Materials Science and Engineering Division, NIST, Gaithersburg, MD 20899-8552, USA;2. Faculty of Science, Charles University, Prague 12843, Czech Republic;3. Institute of Geology, Academy of Science of the Czech Republic, v.v.i., Prague 16500, Czech Republic;4. Materials & Structural Systems Division, NIST, Gaithersburg, MD 20899-861, USA;1. Department of Electrical Engineering, Pontifical Catholic University, Rio de Janeiro, Brazil;2. Federal Centre of Maranhão for Technology Education, Brazil
Abstract:This paper addresses the self-scheduling problem of generation companies owning thermal power units considering bilateral contracts and day-ahead market. This approach allows precise modelling of variable costs, start-up costs and comprehensive system of constraints. The self-scheduling model is formulated as deterministic optimization problem in which expected profit is maximized by 0/1 mixed-integer linear programming technique. Solution is achieved using the homogeneous and self-dual interior point method for linear programming, with a branch and bound optimizer for integer programming. The effectiveness of the proposed model for optimizing the thermal generation schedule is demonstrated through the case study with detailed discussion.
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