Distributed Optimal Frequency Regulation for Multiple Distributed Power Generations with an Event-Triggered Communication Mechanism

• Main Authors: Shiyun Xu, Huadong Sun, Bing Zhao, Jun Yi, Shengxuan Weng, Jianbo Chen, Chunxia Dou
• Format: Article
• Language: English
• Published: MDPI AG 2020-02-01
• Series: Processes
• Subjects: distributed control; event-triggered mechanism; multiple power generations; microgrid; optimal frequency regulation
• Online Access: https://www.mdpi.com/2227-9717/8/2/169

This paper studied the distributed optimal frequency regulation for multiple power generations in an isolated microgrid under limited communication resource. The event-triggered mechanism is introduced in the construction of the regulation algorithm. Each power generation in the microgrid only transmits its own information to its neighbors through a communication network when the event-triggered condition is satisfied, and the communication burden can be reduced significantly. Moreover, Zeno behavior is excluded to make the event-triggered regulation algorithm reasonable and realistic for practical microgrids. The proposed regulation method can restore the frequency and retain the economic efficiency simultaneously when some disturbances occur in isolated microgrids. The experimental result shows the effectiveness of the theoretical method.