A three-stage solution approach to Turkish day-ahead electricity market

Electricity day-ahead market is used for matching the electricity demand and supply of participants according to the market clearing prices. Market clearing prices should be announced fast enough to inform the participants about their bids’ acceptance status before the actual transaction. In this thesis, we provide a new method for finding the optimal market clearing prices of the Turkish day-ahead electricity market clearing problem. This method works in three stages: First, an approximation of the main model is solved; secondly, a feasible solution is found close to the solution of the approximation; thirdly, the optimal solution for the problem is searched starting from the solution of the previous step. Each step of the approach and additional enhancements are discussed. Then, we test our methodology with two datasets: one is the generated data which is available to the public, and the other is real data obtained from the Turkish day-ahead electricity market. Our method gives promising results and also its simplicity and adaptability is an advantage for using it with other methods in the literature