10th International Symposium on Intelligent Manufacturing and Service Systems, Sakarya, Turkey, 9 - 11 September 2019, pp.757-766
In this study, a model is developed in order to use as a reference during offer period at DayAhead Market and Ancillary Services Market of Turkish Power Markets for a facility which is chosen
regardless of its location. The facility is considered as 1) one of the combined cycle power plant,
which are the merchant power plants for the formation of “Market Clearing Price” which is the
reference price for Turkish Power Markets and 2) operating with average costs and technical
requirements. When developing the model, 1) price forecast which can be calculated by any of the
company’s own know-how or can be outsourced and 2) already known costs and technical
requirements and average contractual market data are taken into consideration as inputs.
It is desired to create a generation plan which starts with a long term based and detailed after
the run for shorter terms as output. In this model, an optimum generation plan is found based on price
forecasts and generation level and frequency requirements are shown. This data is used in model and
proposals are prepared considering risk parameters to submit for both Ancillary Services Market and
Day-Ahead Market. Within the scope of this study, by using the branch and bound algorithm and the
ant colony algorithm which is a metaheuristic algorithm, a comparison will be made to find the
optimum proposals and prepare cost analyzes.