Practical commitment of combined cycle plants using dynamic programming

López, Juan Álvarez; Gomez, Rolando Nieva; Moya, Isaías Guillén

doi:10.1109/epec.2010.5697171

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…In many cases they were applied to combined cycle power plants [e.g. 5,8,10,12,14,15]. Models proposed to simulate thermal unit operations differ considerably in the degree of detail.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP

2019

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An increasing share of the weather-dependent RES generation in the power system leads to the growing importance of flexibility of conventional power plants. They were usually designed for base load operation and it is a challenge to determine the actual long-term cycling costs, which account for an increase in maintenance and overhaul expenditures, increased forced outage rates and shortened life expectancy of the plant and components. In this paper, the overall impact of start up costs is evaluated by formulating and solving price based unit commitment problem (PBUC). The electricity spot market is considered as a measure for remunerating flexibility. This approach is applied to a real-life case study based on the 70 MWe PGE Gorzόw CCGT power plant. Different operation modes are calculated and results are used to derive a mixed integer linear programming (MILP) model to optimize the operation of the plant. The developed mathematical model is implemented in Python within the frame of the PuLP library and solved using GUROBI. Results of the application of the method to a numerical example are presented.

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“…In many cases they were applied to combined cycle power plants [e.g. 5,8,10,12,14,15]. Models proposed to simulate thermal unit operations differ considerably in the degree of detail.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP

2019

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“…The model is verified over the part of the cycle plant that provides electric power. While many other studies have been made to improve the operation and the efficiency of this type of industry [22][23][24][25], the objectives in this case are achieved through control optimization.…”

Section: Introductionmentioning

confidence: 99%

A Bio-inspired knowledge system for improving combined cycle plant control tuning

Calvo-Rolle

Corchado

2014

Neurocomputing

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This study presents a novel bio-inspired knowledge system, based on closed loop tuning, for calculating the Proportional-Integral-Derivative (PID) controller parameters of a real combined cycle plant. The aim is to automatically achieve the best parameters according to the work point and the dynamics of the plant. To this end, several typical expressions and systems were taken into account to build the model for this multidisciplinary study. Each of these expressions is appropriated for a particular system. The novel method is empirically verified under a real case study based on an auxiliary steam system of a combined cycle plant.

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Practical commitment of combined cycle plants using dynamic programming

Cited by 2 publications

References 7 publications

Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP

Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP

A Bio-inspired knowledge system for improving combined cycle plant control tuning

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