Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 833-838 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 49 |
| Issue number | 7 |
| DOIs | |
| State | Published - 2016 |
Bibliographical note
Publisher Copyright:© 2016
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Computer-aided control system design
- Electric power systems
- Model based control
- Renewable energy systems
- Stochastic control
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