Distributed Control of Inverter-Interfaced Microgrids Based on Consensus Algorithm with Improved Transient Performance

Journal Article · 20 October 2017 · IEEE Transactions on Smart Grid

DOI: https://doi.org/10.1109/TSG.2017.2762601 · OSTI ID:1462839

Duan, Jiajun ^[1]; Wang, Cheng ^[1]; Xu, Hao ^[2]; Liu, Wenxin ^[1]; Xue, Yaosuo ^[3]; Peng, Jian-Chun ^[4]; Jiang, Hui ^[5]

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1. Lehigh Univ., Bethlehem, PA (United States). Dept. of Electrical and Computer Engineering
2. Univ. of Nevada, Reno, NV (United States). Dept. of Electrical and Biomedical Engineering
3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
4. Shenzhen Univ. (China). College of Mechatronics and Control Engineering
5. Shenzhen Univ. (China). College of Optoelectronic Engineering

Conventional control solutions of the inverter-interfaced microgrids are usually designed based on models with fully decoupled subsystems. The negligence of the strong coupling due to power lines impedance leads to large transient line currents, which might trigger false protection. Besides, the droop-based control methods unnecessarily introduce system frequency and voltage deviations. To overcome these issues, a novel distributed control scheme is proposed for the inverter-interfaced microgrids in this study. The objective of the primary control is to regulate the bus voltages and frequency while suppressing the transient line currents. The objective of secondary control is to maintain fair load sharing. Both primary control and secondary control are distributed and subsystems or control agents only require measurements from local and neighboring subsystems. The detailed control problem formulation, control design and stability analysis are presented in the paper. Finally, the effectiveness of the proposed control solution is evaluated through extensive simulations based on both simplified and detailed models.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Lehigh Univ., Bethlehem, PA (United States); Shenzhen Univ. (China)
• Sponsoring Organization: USDOE; Office of Naval Research (ONR) (United States); National Natural Science Foundation of China (NSFC); Shenzhen International Cooperation Research Project
• Grant/Contract Number: AC05-00OR22725; N00014-16-1-3121; 51477104; GJHZ20150313093836007
• OSTI ID: 1462839
• Journal Information: IEEE Transactions on Smart Grid, Vol. 10, Issue 2; ISSN 1949-3053
• Publisher: IEEECopyright Statement
• Country of Publication: United States
• Language: English