An innovative simulated annealing approach to the long-term hydro scheduling problem

A. H. Mantawy; S. A. Soliman; M. E. El-Hawary

doi:10.1109/LESCPE.2001.941631

An innovative simulated annealing approach to the long-term hydro scheduling problem

A. H. Mantawy, S. A. Soliman, M. E. El-Hawary

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

This paper presents a new simulated annealing algorithm (SAA) to solve the long-term hydro scheduling problem (LTHSP). A new algorithm for randomly generating feasible trial solutions is introduced. The problem is a hard nonlinear optimization problem in continuous variables. An adaptive cooling schedule and a new method for variables discretization are implemented to enhance the speed and convergence of the original SAA. A significant reduction in the number of the objective function evaluations, and consequently less iterations are required to reach the optimal solution. The proposed algorithm has been applied successfully to solve a system with four series cascaded reservoirs. Numerical results show an improvement in the solutions compared to previously obtained results.

Original language	English
Title of host publication	LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering
Subtitle of host publication	Powering Beyond 2001, Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	79-85
Number of pages	7
ISBN (Electronic)	0780371070, 9780780371071
DOIs	https://doi.org/10.1109/LESCPE.2001.941631
State	Published - 2001

Publication series

Name	LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings

Bibliographical note

Publisher Copyright:
© 2001 IEEE.

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/LESCPE.2001.941631

Cite this

Mantawy, A. H., Soliman, S. A., & El-Hawary, M. E. (2001). An innovative simulated annealing approach to the long-term hydro scheduling problem. In LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings (pp. 79-85). Article 941631 (LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LESCPE.2001.941631

Mantawy, A. H. ; Soliman, S. A. ; El-Hawary, M. E. / An innovative simulated annealing approach to the long-term hydro scheduling problem. LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2001. pp. 79-85 (LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings).

@inproceedings{5998133abf524f7488d4af2bc9c5dd62,

title = "An innovative simulated annealing approach to the long-term hydro scheduling problem",

abstract = "This paper presents a new simulated annealing algorithm (SAA) to solve the long-term hydro scheduling problem (LTHSP). A new algorithm for randomly generating feasible trial solutions is introduced. The problem is a hard nonlinear optimization problem in continuous variables. An adaptive cooling schedule and a new method for variables discretization are implemented to enhance the speed and convergence of the original SAA. A significant reduction in the number of the objective function evaluations, and consequently less iterations are required to reach the optimal solution. The proposed algorithm has been applied successfully to solve a system with four series cascaded reservoirs. Numerical results show an improvement in the solutions compared to previously obtained results.",

author = "Mantawy, {A. H.} and Soliman, {S. A.} and El-Hawary, {M. E.}",

note = "Publisher Copyright: {\textcopyright} 2001 IEEE.",

year = "2001",

doi = "10.1109/LESCPE.2001.941631",

language = "English",

series = "LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "79--85",

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address = "United States",

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Mantawy, AH, Soliman, SA & El-Hawary, ME 2001, An innovative simulated annealing approach to the long-term hydro scheduling problem. in LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings., 941631, LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 79-85. https://doi.org/10.1109/LESCPE.2001.941631

An innovative simulated annealing approach to the long-term hydro scheduling problem. / Mantawy, A. H.; Soliman, S. A.; El-Hawary, M. E.
LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2001. p. 79-85 941631 (LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An innovative simulated annealing approach to the long-term hydro scheduling problem

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AU - Soliman, S. A.

AU - El-Hawary, M. E.

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N2 - This paper presents a new simulated annealing algorithm (SAA) to solve the long-term hydro scheduling problem (LTHSP). A new algorithm for randomly generating feasible trial solutions is introduced. The problem is a hard nonlinear optimization problem in continuous variables. An adaptive cooling schedule and a new method for variables discretization are implemented to enhance the speed and convergence of the original SAA. A significant reduction in the number of the objective function evaluations, and consequently less iterations are required to reach the optimal solution. The proposed algorithm has been applied successfully to solve a system with four series cascaded reservoirs. Numerical results show an improvement in the solutions compared to previously obtained results.

AB - This paper presents a new simulated annealing algorithm (SAA) to solve the long-term hydro scheduling problem (LTHSP). A new algorithm for randomly generating feasible trial solutions is introduced. The problem is a hard nonlinear optimization problem in continuous variables. An adaptive cooling schedule and a new method for variables discretization are implemented to enhance the speed and convergence of the original SAA. A significant reduction in the number of the objective function evaluations, and consequently less iterations are required to reach the optimal solution. The proposed algorithm has been applied successfully to solve a system with four series cascaded reservoirs. Numerical results show an improvement in the solutions compared to previously obtained results.

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DO - 10.1109/LESCPE.2001.941631

M3 - Conference contribution

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T3 - LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings

SP - 79

EP - 85

BT - LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Mantawy AH, Soliman SA, El-Hawary ME. An innovative simulated annealing approach to the long-term hydro scheduling problem. In LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2001. p. 79-85. 941631. (LESCOPE 2001 - 2001 Large Engineering Systems Conference on Power Engineering: Powering Beyond 2001, Conference Proceedings). doi: 10.1109/LESCPE.2001.941631

An innovative simulated annealing approach to the long-term hydro scheduling problem

Abstract

Publication series

Bibliographical note

ASJC Scopus subject areas

UN SDGs

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Cite this