Abstract
A new efficient algorithm to solve the long-term hydro scheduling problem (LTHSP) is presented in this paper. The algorithm is based on using the short-term memory of the tabu search (TS) approach to solve the nonlinear optimization problem in continuous variables of the LTHSP. The paper introduces new rules for generating feasible solutions with an adaptive step vector adjustment. Moreover an approximated tabu list for the continuous variables has been designed. The proposed implementation contributes to the enhancement of speed and convergence of the original tabu search algorithm (TSA). A significant reduction in the objective function over previous classical optimization methods and a simulated annealing algorithm has been achieved. Moreover the proposed TS requires less iterations to converge than simulated annealing. The proposed algorithm has been applied successfully to solve a system with four series cascaded reservoirs. Numerical results show an improvement in the solution compared to previously obtained results.
| Original language | English |
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| Title of host publication | LESCOPE 2002 - 2002 Large Engineering Systems Conference on Power Engineering |
| Subtitle of host publication | Energy for the Future, Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 29-34 |
| Number of pages | 6 |
| ISBN (Electronic) | 0780375203, 9780780375208 |
| DOIs | |
| State | Published - 2002 |
Publication series
| Name | LESCOPE 2002 - 2002 Large Engineering Systems Conference on Power Engineering: Energy for the Future, Conference Proceedings |
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Bibliographical note
Publisher Copyright:© 2002 IEEE.
Keywords
- hydro scheduling
- nonlinear optimization
- power system operation
- power system planning
- series reservoirs
- tabu search
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
