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Title: An Adaptive Tabu Search Algorithm for Market Clearing Problem in Turkish Day-Ahead Market
Authors: Kurt, Nermin Elif
Şahin, H. Bahadır
Derinkuyu, Kürşad
Keywords: Power generation dispatch
Power systems
Electric load dispatching
Heuristic methods
Problem solving
Standby power systems
Tabu search
Issue Date: 27-Jun-2018
Publisher: IEEE Computer Society
Source: Kurt, N. E., Sahin, H. B., & Derinkuyu, K. (2018, June). An Adaptive Tabu Search Algorithm for Market Clearing Problem in Turkish Day-Ahead Market. In 2018 15th International Conference on the European Energy Market (EEM) (pp. 1-6). IEEE.
Series/Report no.: International Conference on the European Energy Market, EEM
Abstract: In this study, we focus on the market clearing problem of Turkish day-ahead electricity market. We propose a mathematical model by extending the variety of bid types for different price regions. The commercial solvers may not find any feasible solution for the proposed problem in some instances within the given time limits. Hence, we design an adaptive tabu search (ATS) algorithm to solve the problem. ATS discretizes continuous search space arising from the flow v ariables. Our method has adaptive radius and it achieves backtracking by a commercial solver. Then, we compare the performance of ATS with a heuristic decomposition method from the literature by using synthetic data sets. We evaluate the performances of the algorithms with respect to their solution times and surplus differences. ATS performs better in most of the sets.
ISSN: 2165-4077
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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