Hydro-thermal, scheduling by tabu search and decomposition method

• Published in: IEEE transactions on power systems Vol. 11; no. 2; pp. 968 - 974
• Main Authors: Xaiomin Bai, Shahidehpour, S.M.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: New York, NY IEEE 01.05.1996; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Costs; Dynamic scheduling; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Hydroelectric power plants; Large-scale systems; Operation. Load control. Reliability; Power generation; Power networks and lines; Power system dynamics; Power system reliability; Power systems; Processor scheduling; Q1; Scheduling algorithm; Search methods; Hydroelectric power plant; Electrical network; Thermal power plant; Decomposition method; Economic optimization; Electric power production; Search algorithm; Exploitation
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/59.496182

In this paper, an enhanced algorithm for hydro-thermal power system generation scheduling is presented. By applying the tabu search, a decomposition method and taking into account the nonlinearity of time-varying starting costs, an effective algorithm is proposed to increase the computing accuracy of the dynamic scheduling process. The proposed approach may start from any traditional scheduling method proposed earlier, and improve the sub-optimal solution by a neighborhood search method. In this regard, additional constraints can be added to the problem formulation which provides a fast scheduling or rescheduling solution to large scale hydro-thermal power systems. The results show that the proposed algorithm is both efficient and reliable.