Distributed Predictive Control Strategy for Frequency Restoration of Microgrids Considering Optimal Dispatch
| Autor: | Mark Sumner, Jacqueline Llanos, F Alex Navas, Doris Saez, Erwin Rute, Juan S. Gomez |
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| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
General Computer Science Computer science 020208 electrical & electronic engineering Automatic frequency control Economic dispatch Topology (electrical circuits) 02 engineering and technology Reliability engineering Electric power system Model predictive control 020901 industrial engineering & automation Electricity generation Control theory 0202 electrical engineering electronic engineering information engineering Microgrid |
| Zdroj: | IEEE Transactions on Smart Grid. 12:2748-2759 |
| ISSN: | 1949-3061 1949-3053 |
| Popis: | Microgrids are the cornerstone for a new model of electrical generation based on renewable resources. Commonly microgrids are controlled with a centralised hierarchical structure, which is inherited from power systems. However, a time-scale separation between traditional fast frequency restoration and slow economic dispatch may be counterproductive in the long run because the slow long-term economic dispatch increases the prediction uncertainty. In an effort to improve the economical operation of microgrids, this work proposes a distributed model predictive control strategy for the operation of isolated microgrids based on a consensus strategy that tackles both the economic dispatch and frequency restoration over the same time-scale. The proposed controller can operate without knowledge of the microgrid's topology: instead, typical local measurements and other information from neighboring generation units are required. Experimental results demonstrate that the controller is robust to load variations and communication issues, but the plug-and-play nature of the system is preserved. |
| Databáze: | OpenAIRE |
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