This paper examines microgrid unit dispatch, with hourly bounds on energy exchange with the macrogrid and minimum storage level constraints. These goals can be used to meet market constraints and to ensure there is sufficient energy reserved for future periods, respectively. In particular, economic model predictive control is used to minimize cost while ensuring these scheduling goals and other operational constraints are satisfied. Simulation of a dynamic microgrid system over a 24-hour period shows that the proposed dispatch strategy is able to effectively reject forecasting errors and meet the established energy exchange and storage level goals.
Bibliographical noteFunding Information:
This maffierial is based upon work supporffied by ffihe Na-ffiional Science Foundaffiion Graduaffie Research Fellowship Program under Granffi No. 00039202. Parffiial financial sup-porffi from ffihe Universiffiy of Minnesoffia Iniffiiaffiive for Renewable Energy and ffihe Environmenffi (IREE) projecffi RL-0010-13 is also acknowledged.
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- Computer-aided control system design
- Electric power systems
- Model based control
- Renewable energy systems
- Stochastic control