Predictive Control of Flexible Resources for Demand Response in Active Distribution Networks


Energy storage systems and heating systems can be used to offer demand response in low-voltage distribution networks with solar photovoltaics by using a model-based predictive control method suggested in this research. The paper's contributions are two-fold. To begin, a linear power flow approach based on the relaxation of branch power losses is developed and formulated for use in radial distribution systems. In the second step, a multi-objective linear optimization problem is solved in receding-horizon mode, taking into consideration system states, forecasts of generation, and loads. Customers can be assured of high-quality service with the use of the proposed control algorithm for low-voltage network management. Using Matlab/Simulink, a simplified Danish low-voltage network is used to test the suggested control approach in the summer and winter seasons. The proposed linear power flow approach has been shown to be more accurate than current methods for calculating network power flows. Furthermore, simulation findings show that the proposed flexible resources controller can accomplish the network control objectives while satisfying network limitations and the operational restrictions of the flexible resources.

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