A Multiagent-Based Consensus Algorithm for Distributed Coordinated Control of Distributed Generators in the Energy Internet

• Published in: IEEE transactions on smart grid Vol. 6; no. 6; pp. 3006 - 3019
• Main Authors: Qiuye Sun, Renke Han, Huaguang Zhang, Jianguo Zhou, Guerrero, Josep M.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bidirectional power flow; Control systems; Distributed coordinated control; distributed generators (DGs); Energy Internet; Internet; Multi-agent systems; multiagent consensus algorithm; Power system reliability; spinning reserve; Voltage control; multiagent consensus algorithm; Distributed coordinated control; distributed generators (DGs); Energy Internet; spinning reserve
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2015.2412779

With the bidirectional power flow provided by the Energy Internet, various methods are promoted to improve and increase the energy utilization between Energy Internet and main grid (MG). This paper proposes a novel distributed coordinated controller combined with a multiagent-based consensus algorithm, which is applied to distributed generators in the Energy Internet. Then, the decomposed tasks, models, and information flow of the proposed method are analyzed. The proposed coordinated controller installed between the Energy Internet and MG keeps voltage angles and amplitudes consensus, while providing accurate power-sharing and minimizing circulating currents. Finally, the Energy Internet can be integrated into the MG seamlessly if necessary. Hence, the Energy Internet can be operated as a spinning reserve system. Simulation results are provided to show the effectiveness of the proposed controller in an Energy Internet.