4.6 Article

Distributed Finite-Time Secondary Frequency Control of Islanded Microgrids With Enhanced Operational Flexibility

期刊

IEEE TRANSACTIONS ON ENERGY CONVERSION
卷 36, 期 3, 页码 1733-1742

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEC.2021.3054780

关键词

Microgrids; Convergence; Frequency control; Steady-state; Stability analysis; Design methodology; Communication networks; Consensus algorithm; finite-time convergence; microgrids; operational flexibility; secondary frequency control

资金

  1. National Key R&D Program of China [2020YFD1100500]
  2. National Science Foundation of China [52077109]
  3. Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University [GDSC202005]

向作者/读者索取更多资源

This article introduces a novel finite-time consensus-based secondary frequency control strategy for microgrids, which ensures the effectiveness of the control strategy under flexible operating conditions and significantly improves its performance. The proposed control strategy's flexibility and the effectiveness of the optimal design method are verified through simulation and experimental results.
Consensus-based control has been widely applied in the frequency/voltage restoration and power sharing of microgrids. Considering the existence of plug-and-play devices and accidental communication failures in microgrids, the physical and cyber structure of a microgrid may be time-varying, where the performance of traditional consensus-based control methods under ideal cases may not be guaranteed. This article proposed a novel finite-time consensus-based secondary frequency control strategy, i.e., a control strategy with finite-time convergence performance. The convergence time of the proposed control strategy is independent of both the structure and operation states of the microgrid, which guarantees the effectiveness of the control strategy under flexible operating conditions. Moreover, a detailed performance analysis of the finite-time control strategy is presented, and an optimal design method of the control parameters is developed, which significantly improves the performance of the finite-time control strategy. The flexibility of the proposed control strategy, as well as the effectiveness of the optimal design method, is verified by both simulation and experimental results.

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