Fast Thermal Generation Rescheduling

F. Eugenio Villaseca; B. Fardanesh

doi:10.1109/TPWRS.1987.4335075

Fast Thermal Generation Rescheduling

F. Eugenio Villaseca
, B. Fardanesh

Cleveland State University

Research output: Contribution to journal › Article › peer-review

Abstract

A new dynamic programming algorithm for fast rescheduling thermal generation is presented. The savings in computational times are brought about by the introduction of two new techniques: the variable truncation dynamic programming and the limitation of the solution space to be searched. Several examples on a 20 machine system are used to illustrate the application of the algorithm and to show that optimal solutions are obtained at significantly reduced computational times.

Original language	American English
Journal	IEEE Transactions on Power Systems
Volume	2
DOIs	https://doi.org/10.1109/TPWRS.1987.4335075
State	Published - Feb 1 1987

Keywords

Costs
Dynamic programming
Economic forecasting
Heuristic algorithms
Lagrangian functions
Linear programming
Mathematical programming
Power generation economics
Processor scheduling
Thermal engineering

Disciplines

Electrical and Computer Engineering
Power and Energy

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http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4335075&contentType=Journals+%26+Magazines&searchField%3DSearch_All%26queryText%3DFast+Thermal+Generation+Rescheduling

Cite this

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abstract = " A new dynamic programming algorithm for fast rescheduling thermal generation is presented. The savings in computational times are brought about by the introduction of two new techniques: the variable truncation dynamic programming and the limitation of the solution space to be searched. Several examples on a 20 machine system are used to illustrate the application of the algorithm and to show that optimal solutions are obtained at significantly reduced computational times.",

keywords = "Costs, Dynamic programming, Economic forecasting, Heuristic algorithms, Lagrangian functions, Linear programming, Mathematical programming, Power generation economics, Processor scheduling, Thermal engineering",

author = "Villaseca, \{F. Eugenio\} and B. Fardanesh",

note = "Villaseca, F. E., \& Fardanesh, B. (February 01, 1987). Fast thermal generation rescheduling. IEEE Transactions on Power Systems,2,1, 65-71.",

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N2 - A new dynamic programming algorithm for fast rescheduling thermal generation is presented. The savings in computational times are brought about by the introduction of two new techniques: the variable truncation dynamic programming and the limitation of the solution space to be searched. Several examples on a 20 machine system are used to illustrate the application of the algorithm and to show that optimal solutions are obtained at significantly reduced computational times.

AB - A new dynamic programming algorithm for fast rescheduling thermal generation is presented. The savings in computational times are brought about by the introduction of two new techniques: the variable truncation dynamic programming and the limitation of the solution space to be searched. Several examples on a 20 machine system are used to illustrate the application of the algorithm and to show that optimal solutions are obtained at significantly reduced computational times.

KW - Costs

KW - Dynamic programming

KW - Economic forecasting

KW - Heuristic algorithms

KW - Lagrangian functions

KW - Linear programming

KW - Mathematical programming

KW - Power generation economics

KW - Processor scheduling

KW - Thermal engineering

UR - https://engagedscholarship.csuohio.edu/enece_facpub/101

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VL - 2

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

ER -

Fast Thermal Generation Rescheduling

Abstract

Keywords

Disciplines

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