What is it about?
Abstract—This paper presents operation scenarios of a power system grid 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. 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. The simulation results are used to verify the validity of the proposed technique. Keywords—Power system operation, renewable energy resources, model predictive control, power system planning.
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Why is it important?
Compared to the previously discussed techniques, the proposed technique has the following key features: model dependent, predictive capability, flexible design and control, reference tracking and ability to solve the problem with large number of degree of freedom.
Perspectives
The future power system operation planning is essential for both the grid operator and planner to study many scenarios of operation and avoid difficulties during real-time operation. In addition, it is decisive for the grid planner to estimate the grid needs for the new storage technologies and define its characteristics and modes of operations.
Professor Omar H. Abdalla
Helwan University
Read the Original
This page is a summary of: Model predictive control based power system operation planning of grid connected high share renewable energy, December 2017, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/mepcon.2017.8301381.
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