Commitment of Combined Cycle Plants Using a Dual Optimization–Dynamic Programming Approach

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

doi:10.1109/tpwrs.2010.2066584

Cited by 24 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A general discussion on the characteristics of gas-steam combined units is presented, with particular attention paid to the design choices on the plant cycle configuration, size and regulation type. In order to give evidence to the influence of the technical characteristics on the UC solution, we have assumed a simple representations of the combined cycle plant; in particular, we have taken into account only one of all the possible configurations a combined cycle plant can have in operation [6,7]. We made these assumptions since we judge that with different case study settings, the difference among the UC outcomes due to the design choices could be not clearly understood, and even blurred.…”

Section: Introductionmentioning

confidence: 99%

Combined cycle unit commitment in a changing electricity market scenario

Casolino

Liuzzi

Losi

2015

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Combined cycle unit commitment in a changing electricity market scenario

Casolino

Liuzzi

Losi

2015

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

“…The research methods commonly used to investigate unit commitment include mixed-integer linear programming (MILP) [1][2], particle swarm optimization (PSO) [3][4], genetic algorithms (GAs) [5], dynamic programming (DP) [6], and Lagrangian relaxation (LR) [7]. Mixed-integer linear programming differs from other linear programming methods by using integers "0" and "1" to represent the unit status.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Unit Commitment Solution Based on Load Pattern

Hsu

Chen

et al. 2013

AMM

View full text Add to dashboard Cite

Power production plans are used by power companies to propose a feasible plan regarding the load requirements and system conditions of the following year, in which the arrangement of production material, such as the procurement of fuel required and delivery schedules, is clearly projected. Some of the factors involved in considering power production plans are common to those for short-term unit commitment, including system power balance, system security requirements, and unit characteristics; however, the limit on annual accumulation, which is not considered in short-term unit commitment, is not similar between the two. This study proposes an optimal mathematical model based on mixed-integer programming for long-term unit commitment to minimize the total system costs. To avoid the mixed-integer linear programming problems that increase the duration of computation because of numerous integer variables, the model proposed in this study applies the view of energy and power and integrates the similarities of load patterns and fuzzy logic to reduce the number of variables while adhering to all the constraints. The proposed algorithm can greatly improve the solution time compared with the complete UC model for the Taipower one week simulation case.

show abstract

Optimal control applications and methods literature survey (Nos. 25–26)

2011

Optim Control Appl Methods

View full text Add to dashboard Cite

In order to keep readers up-to-date, the journal will contain a list of recently published journal articles relevant to the fields of optimal control, system optimization and applications six times a year. This list is compiled from a wide range of journals. Please note that even though the list has been broadly categorized these classifications are by no means strict, and are there to assist the reader. Please also note that inclusion in the list is not an endorsement of a paper's quality. If you have any suggestions or comments, please

show abstract

Commitment of Combined Cycle Plants Using a Dual Optimization–Dynamic Programming Approach

Cited by 24 publications

References 9 publications

Combined cycle unit commitment in a changing electricity market scenario

Combined cycle unit commitment in a changing electricity market scenario

Long-Term Unit Commitment Solution Based on Load Pattern

Optimal control applications and methods literature survey (Nos. 25–26)

Contact Info

Product

Resources

About