DOI:10.35833/MPCE.2018.000689 |
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Hydro-wind Optimal Operation for Joint Bidding in Day-ahead Market: Storage Efficiency and Impact of Wind Forecasting Uncertainty |
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Page view: 137
Net amount: 728 |
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Author:
António Cerejo1,Sílvio J. P. S. Mariano2,Pedro M. S. Carvalho3,Maria R. A. Calado2
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Author Affiliation:
1.Technical-Scientific Unity of Electrical and Industrial Engineering, Polytechnic Institute of Castelo Branco, Avenida do Empresário, 6000-767 Castelo Branco, Portugal;2.Department of Electromechanical Engineering, University of Beira Interior and Instituto de Telecomunicações, Calçada Fonte do Lameiro, 6201-001 Covilhã, Portugal;3.Department of Electrical and Computer Engineering, Instituto Superior Técnico, and INESC-ID, University of Lisbon, Av. Rovisco Pais, 1049-001 Lisbon, Portugal
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Abstract: |
Wind power production is uncertain. The imbalance between committed and delivered energy in pool markets leads to the increase of system costs, which must be incurred by defaulting producers, thereby decreasing their revenues. To avoid this situation, wind producers can submit their bids together with hydro resources. Then the mismatches between the predicted and supplied wind power can be used by hydro producers, turbining or pumping such differences when convenient. This study formulates the problem of hydro-wind production optimization in operation contexts of pool market. The problem is solved for a simple three-reservoir cascade case to discuss optimization results. The results show a depreciation in optimal revenues from hydro power when wind forecasting is uncertain. The depreciation is caused by an asymmetry in optimal revenues from positive and negative wind power mismatches. The problem of neutralizing the effect of forecasting uncertainty is subsequently formulated and solved for the three-reservoir case. The results are discussed to conclude the impacts of uncertainty on joint bidding in pool market contexts. |
Keywords: |
Optimization ; hydro power ; wind power ; uncertainty ; joint bidding ; pool market |
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Received:October 17, 2018
Online Time:2020/03/02 |
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