Abstract
This paper presents a comparative study for four modern heuristic algorithms (MHAs) to service restoration in distribution systems: reactive tabu search, tabu search, parallel simulated annealing, and genetic algorithm. Since service restoration is an emergency control in distribution control centers to restore out-of-service areas as soon as possible, it requires fast computation and high quality solutions for customers' satisfaction. The problem can be formulated as a combinatorial optimization problem to divide the out-of-service area to each power source. The effectiveness of the MHAs is compared against each other on typical service restoration problems.
Original language | English |
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Pages (from-to) | 173-181 |
Number of pages | 9 |
Journal | IEEE Transactions on Power Delivery |
Volume | 17 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2002 Jan |
Externally published | Yes |
Keywords
- Combinatorial optimization
- Distribution systems
- Genetic algorithm
- Modern heuristic algorithms
- Parallel simulated annealing
- Reactive tabu search
- Service restoration
- Tabu search
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering