Application of model predictive control to profit-based dynamic | ||||
| The International Conference on Electrical Engineering | ||||
| Article 61, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Page 1-14 PDF (208.8 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2010.33028 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| A. M. Elaiw; A. M. Shehata | ||||
| Department of Mathematics, Faculty of Science, Al-Azhar University, Assiut, Egypt. | ||||
| Abstract | ||||
| Abstract: Recently many countries have gone through deregulation and restructuring of the electrical power systems with the aim of improving economic efficiency. In the deregulated environment, the generation company (GENCO) finds the optimum schedules of its energy to be sold in the market by running the profit-based dynamic economic dispatch (PBDED) problem with its aim to maximize its own profit (revenue minus generation cost). The objective of the PBDED is to maximize the GENCO's own profit based on the forecasted energy demand and prices, while satisfying the generators' ramp rate constraints and various other constraints. In [11], model predictive control (MPC) method has been proposed for the periodic implementation of the optimal solutions for the dynamic economic dispatch (DED) problem with periodic demand. In this paper we applied the MPC approach proposed in [11] for the PBDED problem under the assumption that both the energy price and demand is periodic. The convergence and robustness of the MPC algorithms are demonstrated through the application of MPC to the PBDED problem with a six-unit system. | ||||
| Keywords | ||||
| dynamic economic dispatch; Electricity market; model predictive control | ||||
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