Mixed integer non-linear programming and Artificial Neural Network based approach to ancillary services dispatch in competitive electricity markets
•Ancillary services market management.•Ancillary services requirements forecast based on Artificial Neural Network.•Ancillary services clearing mechanisms without complex bids and with complex bids. Ancillary services represent a good business opportunity that must be considered by market players. T...
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| Veröffentlicht in: | Applied energy Jg. 108; S. 261 - 270 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.08.2013
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| ISSN: | 0306-2619, 1872-9118 |
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| Abstract | •Ancillary services market management.•Ancillary services requirements forecast based on Artificial Neural Network.•Ancillary services clearing mechanisms without complex bids and with complex bids.
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. |
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| AbstractList | 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. 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. •Ancillary services market management.•Ancillary services requirements forecast based on Artificial Neural Network.•Ancillary services clearing mechanisms without complex bids and with complex bids. 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. |
| Author | Canizes, Bruno Vale, Zita Soares, João Faria, Pedro |
| Author_xml | – sequence: 1 givenname: Bruno surname: Canizes fullname: Canizes, Bruno – sequence: 2 givenname: João surname: Soares fullname: Soares, João – sequence: 3 givenname: Pedro surname: Faria fullname: Faria, Pedro – sequence: 4 givenname: Zita surname: Vale fullname: Vale, Zita email: zav@isep.ipp.pt |
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| Keywords | ANN RS RU LP SCED CAISO FERC Mixed integer non-linear programming MASCEM Artificial Neural Networks AGC SR GAMS ISO MINLP Linear programming CM MAPE NSR Ancillary services AS RD Electricity markets SCUC Power systems FD Electricity Markets Non linear programming Neural network |
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| Snippet | •Ancillary services market management.•Ancillary services requirements forecast based on Artificial Neural Network.•Ancillary services clearing mechanisms... Ancillary services represent a good business opportunity that must be considered by market players. This paper presents a new methodology for ancillary... |
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| SubjectTerms | Ancillary services Applied sciences Artificial Neural Networks Business business enterprises California Clearing Electricity Electricity markets Energy Exact sciences and technology Linear programming Markets Mixed integer Mixed integer non-linear programming neural networks Optimization Power systems prediction Programming |
| Title | Mixed integer non-linear programming and Artificial Neural Network based approach to ancillary services dispatch in competitive electricity markets |
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