Affiliation:
1. School of Electrical Engineering, Chongqing University, Chongqing 400044, China
Abstract
Virtual synchronous generators (VSG) are considered a new generation of grid-friendly inverters with the same inertial support characteristics as synchronous generators (SG). However, the inertia support comes with the side effects of power and frequency response deterioration. The existing VSG power oscillation suppression methods have limitations such as complex controller parameter tuning, altering the frequency support characteristics, and power quality degradation. To address these issues, this paper proposes a universal VSG control strategy based on extended virtual inertia (VSG-EVI). Herein, the virtual inertia is no longer a constant or varying number; it is endowed with frequency domain characteristics to improve the VSG transient responses. Moreover, a detailed parameter design process is given in detail. Compared with the conventional VSG (CVSG), VSG-EVI significantly suppress the power and frequency oscillations. Compared with the existing VSG oscillation suppression methods, VSG-EVI addresses the issues of the reduction of frequency support capability, whereas the controller parametric design process is simplified with the proposed intuitive extended virtual inertia. Finally, the proposed VSG-EVI method is thoroughly validated by experiments under both grid-connected and stand-alone modes.
Funder
Graduate Scientific Research and Innovation Foundation of Chongqing
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference35 articles.
1. A Multi-Stage Joint Planning and Operation Model for Energy Hubs Considering Integrated Demand Response Programs;Mansouri;Int. J. Electr. Power Energy Syst.,2022
2. An IoT-Enabled Hierarchical Decentralized Framework for Multi-Energy Microgrids Market Management in the Presence of Smart Prosumers Using a Deep Learning-Based Forecaster;Mansouri;Appl. Energy,2023
3. Mansouri, S., Ahmarinejad, A., Javadi, M., Esmaeel Nezhad, A., Shafie-khah, M., and Catalão, J. (2021). Distributed Energy Resources in Local Integrated Energy Systems, Elsevier.
4. Mansouri, S.A., Ahmarinejad, A., Nematbakhsh, E., Javadi, M.S., Jordehi, A.R., and Catalao, J.P.S. (2021, January 6–8). Energy Hub Design in the Presence of P2G System Considering the Variable Efficiencies of Gas-Fired Converters. Proceedings of the 2021 International Conference on Smart Energy Systems and Technologies (SEST), Vaasa, Finland.
5. Resilience Enhancement of Integrated Electricity-Gas-Heating Networks through Automatic Switching in the Presence of Energy Storage Systems;Hosseini;J. Energy Storage,2022
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献