2010
DOI: 10.1109/tpwrs.2010.2050011
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Optimal Self-Scheduling of a Thermal Producer in Short-Term Electricity Markets by MILP

Abstract: This paper addresses the problem of the self-scheduling of a thermal electricity producer in day-ahead energy and reserves markets. A 0/1 mixed integer linear formulation of the producer self-scheduling problem is provided, which allows a realistic and accurate modeling of the unit's operating phases. A novel unit start-up modeling is presented, in which three different start-up types are modeled, hot, warm, and cold, each with distinct start-up cost, synchronization time, soak time, and predefined start-up po… Show more

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Cited by 161 publications
(120 citation statements)
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“…This constraint is applied to every year. The constraint shown in (4) is a concise form that considers other constraints, such as the power output limit of generators, the minimum up and down time, reserves, the thermal constraint for cogeneration plants, and the power flow constraint [14,15].…”
Section: Ac(i) : Average Generation Cost Of Generator I; Tlf(i)mentioning
confidence: 99%
“…This constraint is applied to every year. The constraint shown in (4) is a concise form that considers other constraints, such as the power output limit of generators, the minimum up and down time, reserves, the thermal constraint for cogeneration plants, and the power flow constraint [14,15].…”
Section: Ac(i) : Average Generation Cost Of Generator I; Tlf(i)mentioning
confidence: 99%
“…Furthermore, they give a formulation that tightens the ramp rate constraints. Recently, Simoglou et al (2010) [55] develop an UC formulation that explicitly accounts for the different phases during start-up and shutdown of units. Their formulation also includes different start-up procedures such as hot, warm and cold start-ups.…”
Section: Literature Reviewmentioning
confidence: 99%
“…If the component c was shut down more than crt c hours ago, the warm startup is not available. The resulting constraint can be seen as a generalization of a formulation in Simoglou et al (2010) [55] for cold and warm start-ups.…”
Section: State-dependent Transitionsmentioning
confidence: 99%
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