Applied Energy, Vol.108, 261-270, 2013
Mixed integer non-linear programming and Artificial Neural Network based approach to ancillary services dispatch in competitive electricity markets
Ancillary services represent a good business opportunity that must be considered by market players. This paper presents a new methodology for ancillary services market dispatch. The method considers the bids submitted to the market and includes a market clearing mechanism based on deterministic optimization. An Artificial Neural Network is used for day-ahead prediction of Regulation Down, regulation-up, Spin Reserve and Non-Spin Reserve requirements. Two test cases based on California Independent System Operator data concerning dispatch of Regulation Down, Regulation Up, Spin Reserve and Non-Spin Reserve services are included in this paper to illustrate the application of the proposed method: (1) dispatch considering simple bids; (2) dispatch considering complex bids. (c) 2013 Elsevier Ltd. All rights reserved.
Keywords:Ancillary services;Artificial Neural Networks;Electricity markets;Linear programming;Mixed integer non-linear programming;Power systems