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Model Predictive Control Modular Approach for Multi-Source System Management
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DOI：10.1109/SEGE52446.2021.9534997.png)
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Abstract
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This paper presents a modular approach to model and control multi-source systems or networks. This method derives from an energy-based modeling approach called functional modeling in which predictive functional control algorithms have been implemented. A concept of cost function is introduced and associated to each source. The design of the control has several objectives: remain as generic as possible, satisfy the needs from the consumers and distribute flows in order to minimize the cost functions. This methodology is applied to a use case consisting in the management of an isolated production unit composed of a wind power plant and a backup battery. The system is modeled and controlled in order to ensure the active power balance between consumers needs and sources supplies.
Keywords:
predictive functional control
functional modeling
multi-source systems
wind power integration
energy storage
active power balance
smart grid
energy management
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