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Keywords
(8)
Dynamic Program
Field Test
Optimal Path
Power Generation
Public Utilities
Unit Commitment
Time Dependent
Unit Commitment Problem
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(5)
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Unit Commitment&...
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Dynamic Programming Approach to Unit Commitment
Dynamic Programming Approach to Unit Commitment,10.1109/TPWRS.1987.4335130,IEEE Transactions on Power Systems,Walter L. Snyder,H. David Powell,John C.
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Dynamic Programming Approach to Unit Commitment
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Citations: 123
)
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Walter L. Snyder
,
H. David Powell
,
John C. Rayburn
A fieldproven dynamic programming formulation of the
unit commitment problem
is presented. This approach features the classification of generating units into related groups so as to minimize the number of unit combinations which must be tested without precluding the optimal path. Programming techniques are described which maximize efficiency. Considerations are discussed which determine when generating units must be evaluated and when they may be ignored. The heuristic procedures described in this paper are concerned with supplying all apriori information to the program thereby minimizing its execution time. Results are presented from field testing on a medium size utility. Composite generating unit formulation is described for the economic allocation of constrained fuel to a group of units.
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 2, no. 2, pp. 339348, 1987
DOI:
10.1109/TPWRS.1987.4335130
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Citation Context
(46)
...Therefore, several solution methods have been proposed to solve the unit commitment problem [4], such as priority list (PL) [5], [6], dynamic programming (DP) [7], [
8
], Lagrangian relaxation (LR) [9]‐[11], genetic algorithm (GA) [12]‐[17], and particle swarm optimization (PSO) [18]‐[23]...
...The DP method has the advantage of being able to solve problems of a variety of sizes [
8
]...
Javad Ebrahimi
,
et al.
Unit Commitment Problem Solution Using Shuffled Frog Leaping Algorithm
...When we utilize the existing conventional dynamic programming method, although its solution is correct and has the optimal value, it takes a lot of memory and spends much time in getting an optimal solution [
7
][11]...
Prateek Kumar Singhal
,
et al.
Dynamic Programming Approach for Large Scale Unit Commitment Problem
...A bibliographical survey on UC reveals that various numerical optimization techniques such as priority list [3,4], dynamic programming [
510
], branchandbound algorithm [11] and Lagrangian relaxation [12, 13] have been applied to solve the classic UC problem...
Le Thanh Xuan Yen
,
et al.
A modified hybrid particle swarm optimization approach for unit commit...
...The techniques like priority list [3], dynamic programming [
4
] etc...
Deepak Sharma
,
et al.
Multiagent approach for profit based unit commitment
...Several papers are reported in the literature dealing with the modeling of the unit ramping process under different approaches, such as dynamic programming [
17
] and Lagrangian relaxation [18]–[23]...
Christos K. Simoglou
,
et al.
Optimal SelfScheduling of a Thermal Producer in ShortTerm Electricit...
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Citations
(123)
Twenty‐year trends in benzodiazepine dispensing in the Australian population
(
Citations: 8
)
M. Mofizul Islam
,
Katherine M. Conigrave
,
Carolyn A. Day
,
Paul S. Haber
Journal:
Internal Medicine Journal  INTERN MED J
, vol. 11, no. 1, 2014
Evolving ant colony optimization based unit commitment
(
Citations: 1
)
K. Vaisakh
,
L. R. Srinivas
Journal:
Applied Soft Computing  ASC
, vol. 11, no. 2, pp. 28632870, 2011
Unit Commitment Problem Solution Using Shuffled Frog Leaping Algorithm
(
Citations: 1
)
Javad Ebrahimi
,
Seyed Hossein Hosseinian
,
Gevorg B. Gharehpetian
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 26, no. 2, pp. 573581, 2011
Dynamic Programming Approach for Large Scale Unit Commitment Problem
Prateek Kumar Singhal
,
R. Naresh Sharma
Conference:
International Conference on Communication Systems and Network Technologies  CSNT
, 2011
A modified hybrid particle swarm optimization approach for unit commitment
Le Thanh Xuan Yen
,
Deepak Sharma
,
Dipti Srinivasan
,
Pindoriya Naran Manji
Published in 2011.