Article
Model Predictive Control Based Power System Operation Planning of Grid Connected High Share Renewable Energy
2017 Nineteenth International Middle East Power System Conference (MEPCON), Paper 376, Menoufia University, Egypt, 19-21 December 2017.
(2017)
Abstract
This paper presents operational planning scenarios of a power system with connected large-capacity renewable resources. The proposed operation technique is based on the Model Predictive Control (MPC). The operation plan works to solve large renewable penetration challenges via optimizing the outputs of the conventional and renewable power plants to overcome generation variability and uncertainty. The MPC has the ability to solve the optimization problem in predictive way to deal with both renewable energy and demand forecasting errors. The operation plan of the power system is studied during the four seasons in one year to cover different renewable resources circumstances. Simulation results are presented to verify the validity of the proposed technique.
Keywords
- Power system operational planning,
- Renewable energy resources,
- Model predictive control
Disciplines
Publication Date
December 19, 2017
Citation Information
[126] Ahmed A. Shetaya, Amr M. A. Amin, Omar H. Abdalla: “Model Predictive Control Based Power System Operation Planning of Grid Connected High Share Renewable Energy”, Paper 376, 2017 Nineteenth International Middle East Power System Conference (MEPCON), Paper 376, Menoufia University, Egypt, 19-21 December 2017.