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Mixed integer non linear programming and artificial neural network based approach to ancillary services dispatch in competitive electricity markets
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Ancillary services Artificial neural networks Electricity markets Linear programming Mixed integer non-linear programming Power systems
Contexto Educativo
Citação
Editora
Elsevier