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Medium-Term Unit Commitment in a pool market
dc.creator | Andrianesis, P. | en |
dc.creator | Liberopoulos, G. | en |
dc.creator | Biskas, P. | en |
dc.creator | Bakirtzis, A. | en |
dc.date.accessioned | 2015-11-23T10:22:21Z | |
dc.date.available | 2015-11-23T10:22:21Z | |
dc.date.issued | 2011 | |
dc.identifier | 10.1109/EEM.2011.5953055 | |
dc.identifier.isbn | 9781612842844 | |
dc.identifier.uri | http://hdl.handle.net/11615/25602 | |
dc.description.abstract | We consider a mandatory pool, based to the one established in the Greek electricity market, in which the unit commitment and the scheduling of energy and reserves are the solution of Day-Ahead Scheduling (DAS), an optimization problem that is solved daily and aims to minimize the system cost for the next day. The single-day horizon of DAS may be rather short for capturing the effects of the long start-up times and large commitment costs of slow-start lignite units; hence, the DAS solution may be myopic, resulting in higher total costs in the long-run. To tackle this problem, the Greek market uses a heuristic approach, in which the units' shut-down costs are replaced by their start-up costs and the start-up costs are suppressed; this facilitates the start-up and discourages the shutdown of slow-start units. To address and evaluate the myopic solution issue of DAS more rigorously, we extend the unit commitment problem to a longer horizon of several days, and keep only the solution for the next day as binding (rolling horizon). We call the resulting approach Medium-Term Unit Commitment (MTUC). We compare the long-run average performance of the MTUC output for different horizon lengths (2, 4 and 7 days) to that of the heuristic DAS approach used in the Greek market. The results show that MTUC brings in a small reduction in the total system cost. © 2011 IEEE. | en |
dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-80052136729&partnerID=40&md5=27b3996d2347fc33127c23bee2ef69ad | |
dc.subject | Day-ahead scheduling | en |
dc.subject | Electricity market | en |
dc.subject | Heuristic approach | en |
dc.subject | Optimization problems | en |
dc.subject | Pool markets | en |
dc.subject | Rolling horizon | en |
dc.subject | Slow-start | en |
dc.subject | Small reduction | en |
dc.subject | Start-up costs | en |
dc.subject | Start-ups | en |
dc.subject | System costs | en |
dc.subject | Total costs | en |
dc.subject | Unit commitment problem | en |
dc.subject | Unit commitments | en |
dc.subject | Costs | en |
dc.subject | Heuristic methods | en |
dc.subject | Lakes | en |
dc.subject | Scheduling | en |
dc.subject | Commerce | en |
dc.title | Medium-Term Unit Commitment in a pool market | en |
dc.type | conferenceItem | en |
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