Distributed Predictive Control Strategy for Frequency Restoration of Microgrids Considering Optimal Dispatch
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Date
2021
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Abstract
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 neighbouring 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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Keywords
Frequency control, Voltage control, Economics, Microgrids, Time-frequency analysis, Predictive control, Optimization