Long-term Unit Commitment optimisation for large power systems: unit decommitment versus advanced priority listing

Voorspools, Kris; D’haeseleer, William

doi:10.1016/s0306-2619(03)00057-6

Cited by 32 publications

(14 citation statements)

References 19 publications

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“…Promix operates under the principle of priority listing, based on minimal marginal fuel costs, to simulate the operation of the electricitygeneration system as a response to hour-by-hour demand-side changes. More details on this method can be found in Voorspools and D'haeseleer [4]. The characteristics of Promix make it a suitable tool to provide a clear and complete method for evaluating policy decisions on electric applications.…”

Section: Methodsmentioning

confidence: 99%

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Influence of massive heat-pump introduction on the electricity-generation mix and the GHG effect—Belgian case study

Luickx

Peeters

Helsen

et al. 2007

Int. J. Energy Res.

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SUMMARYTo evaluate the environmental impact of massive heat-pump introduction on greenhouse gas (GHG) emissions, dynamic simulations of the overall electricity-generation system have been performed for Belgium. The simulations are carried out with Promix, a tool that models the overall electricity-generation system. For comparison, three heating devices are considered, namely conventional boilers, heat pumps and electrical resistance heating. The introduction of electric heating at the expense of classic heating increases the demand for electricity and generates a shift of emissions from fossil-fuel heating systems to electrical power plants. The replaced classic fossil-fuel-fired heating represents emissions of about 300 kton: With regard to the heat-pump scenarios, both direct heat-pump heating with a coefficient of performance (COP) of 2.5 and accumulation heat-pump heating with a COP of 5 are investigated. The results of the simulations reveal that the massive introduction of heat-pump heating is favourable to the environment. In Belgium, the largest reductions in GHG emissions occur with heat pumps for direct heating, combined with newly commissioned combined cycle (CC) gas-fired plants or with accumulation heat-pump heating. These scenarios bring about overall GHG emission reductions of approximately 200 kton compared with the reference case with conventional heating for the years 2000 and 2010. The amount of additional electricity-related emissions depends on the considered heating device. In 2010, the scenario with accumulation heat pumps results in an overall decrease of Belgian GHG emissions by 0.15% compared with the reference scenario. The expansion of the electricity-generation system with new CC plants has an important favourable impact on GHGs as well. In most cases, the combination of higher electricity demand and the construction of new gas-fired CC plants will lead to lower overall GHG emissions.

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Section: Methodsmentioning

confidence: 99%

“…Previous work related to this subject has been carried out by Voorspools and D'haeseleer [1,2]. For an overview of modelling strategies for unit commitment scheduling, one can refer to Sen and Kothari [3] and Voorspools and D'haeseleer [4].…”

Section: Introductionmentioning

confidence: 99%

Influence of massive heat-pump introduction on the electricity-generation mix and the GHG effect—Belgian case study

Luickx

Peeters

Helsen

et al. 2007

Int. J. Energy Res.

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show abstract

“…Therefore, conditions are introduced to keep plants switched off for a certain time interval ϑ s . Further, in order to reduce the calculation effort, each plant is assigned to one group out of three possible groups following Voorspools and D'haeseleer (2003): the must-run units, the peak units and the test group for which the unit commitment process is crucial. Since this is a 24 hour model base load plants such as nuclear and lignite plants are turned on all day long.…”

Section: Time Constraints Unit Commitment and Optimal Dispatchmentioning

confidence: 99%

ELMOD - A Model of the European Electricity Market

Leuthold¹,

Weigt

Hirschhausen

2008

SSRN Journal

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This paper provides a description of ELMOD, a model of the European electricity market including both generation and the physical transmission network (DC Load Flow approach). The model was developed at the Chair of Energy Economics and Public Sector Management (EE 2 ) at Dresden University of Technology in order to analyze various questions on market design, congestion management, and investment decisions, with a focus on Germany and Continental Europe. ELMOD is a bottom-up model combining electrical engineering and economics: its objective function is welfare maximization, subject to line flow, energy balance, and generation constraints. The model provides simulations on an hourly basis, taking into account variable demand, wind input, unit commitment, start-up costs, pump storage, and other details. We report selected study results using ELMOD.JEL classifications: D41; D61; L94

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“…Voorspools and D'haeseleer [23] consider the one week horizon and they compare a unit decommitment method with a priority listing method, concluding that the performance is almost the same, but the priority listing is around 5-10 times faster. Thorin et al [22] consider problems of 5 and 6 weeks with heating constraints.…”

Section: Introductionmentioning

confidence: 99%

Heuristic solutions to the long-term unit commitment problem with cogeneration plants

Kjeldsen

Chiarandini

2012

Computers & Operations Research

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Long-term Unit Commitment optimisation for large power systems: unit decommitment versus advanced priority listing

Cited by 32 publications

References 19 publications

Influence of massive heat-pump introduction on the electricity-generation mix and the GHG effect—Belgian case study

Influence of massive heat-pump introduction on the electricity-generation mix and the GHG effect—Belgian case study

ELMOD - A Model of the European Electricity Market

Heuristic solutions to the long-term unit commitment problem with cogeneration plants

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