Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 12, Issue 4, Pages 2748-2759Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2021.3053092
Keywords
Frequency control; Voltage control; Economics; Microgrids; Time-frequency analysis; Predictive control; Optimization; Distributed predictive control; predictive optimal dispatch; microgrids; cooperative control; frequency restoration
Categories
Funding
- Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT) [1170683]
- Solar Energy Research Center SERCChile [ANID/FONDAP/15110019]
- Instituto Sistemas Complejos de Ingenieria (ISCI) [ANID PIA/BASAL AFB180003]
- ANID BECAS/DOCTORADO NACIONAL [201921190961]
- Secretaria de Educacion Superior, Ciencia, Tecnologia e Innovacion de Ecuador [SENESCYT/ARSEQBEC-0058482018]
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The paper proposes a distributed model predictive control strategy based on a consensus strategy for improving the economic operation of microgrids. The controller can operate without knowledge of the microgrid's topology and is robust to load variations and communication issues.
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.
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