Optimal Control of Distributed Energy Resources using Model Predictive Control

An optimal MPC-based control strategy is proposed for coordinating different DERs for an isolated power system. The designed MPC control strategy is able to meet all the performance objectives which are to minimize fuel costs and changes in power output of diesel generators (minimizing mechanical wear and tear). minimize costs associated with low battery life of energy storage. and to encourage normal system operation while maximizing the wind penetration in the system. The simulation studies indicate that the closed loop MPC strategy has a much better performance index than the open loop look-ahead dispatch under high wind penetration levels. It was also shown that the performance of the MPC was better for compensating net load variability as compared to compensating only wind variability. Simulations show that a compromise between performance index and wind resource utilization is reached for a particular value of look-ahead prediction horizon.

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