Title :
A Hybrid Method for Multi-Area Generation Expansion using Tabu-search and Dynamic Programming
Author :
Jirutitijaroen, Panida ; Singh, Chanan
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
Abstract :
This paper combines Tabu search with an optimization technique using dynamic programming for the solution of generation expansion and placement considering reliability in multi-area power systems. Instead of random selection, initial solution for Tabu search is obtained from optimizing a simplified problem utilizing dynamic programming and reliability assessment technique called global decomposition. The comparison between random initial solutions and the proposed method is made. The method is implemented for an actual 12-area power system.
Keywords :
dynamic programming; power system reliability; search problems; dynamic programming; generation adequacy; global decomposition; multi-area generation expansion; multi-area power systems; optimization technique; power system optimization; reliability assessment; tabu-search; Character generation; Costs; Dynamic programming; Hybrid power systems; Optimization methods; Power generation; Power system analysis computing; Power system dynamics; Power system reliability; State-space methods; Dynamic Programming; Generation Adequacy; Global Decomposition; Multi-area Power System; Power System Optimization; Reliability; Tabu Search;
Conference_Titel :
Power System Technology, 2006. PowerCon 2006. International Conference on
Conference_Location :
Chongqing
Print_ISBN :
1-4244-0110-0
Electronic_ISBN :
1-4244-0111-9
DOI :
10.1109/ICPST.2006.321417
