Academic Journal of Engineering and Technology Science, 2023, 6(10); doi: 10.25236/AJETS.2023.061002.
Yudong Li, Baihui Lv, Yan Hou
School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China
Electric Spring (ES) can effectively alleviate intermittent and instability issues in distributed power generation systems. However, the control effectiveness and response time are poor under traditional control methods, which severely impacts the regulation performance of the electric spring. To address the poor stability of the traditional proportional-integral controller applied to the electric spring system, this paper presents a control strategy based on Quasi-Proportional Complex Integral (QPCI) for the electric spring. By constructing the mathematical model of ES, designing the control strategy, and conducting stability analysis, the critical load voltage can quickly stabilize to the reference value. Furthermore, to address the issue of fixed parameters in the QPCI controller, an ant colony algorithm is introduced to adjust and optimize the parameters in real-time, thereby improving the system's dynamic response. Finally, the proposed control strategy is validated through Matlab/Simulink simulations, demonstrating that it can accurately and rapidly track the set value of the critical load voltage in the ES system, exhibiting strong adaptability and stability.
Electric Spring, Voltage Fluctuation, Quasi-Proportional Complex Integral (QPCI)
Yudong Li, Baihui Lv, Yan Hou. Control Strategy for Electric Spring Based on ACO-QPCI. Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 10: 12-21. https://doi.org/10.25236/AJETS.2023.061002.
 Hossein S, Hesam M, Hossein R, et al. Utilization of in-pipe hydropower renewable energy technology and energy storage systems in mountainous distribution networks[J]. Renewable Energy, 2021, 172.
 S. Geethanjali, S. Shanmugapriya, Niket, et al. Electric Springs with Management of Battery in Order to Reduce Voltage Fluctuations [J]. International Journal of Recent Technology and Engineering (IJRTE), 2019, 8(2s11).
 Mohamed F, Ahmed I. O, Israa M. M, et al. Strategies to save energy in the context of the energy crisis: a review [J]. Environmental Chemistry Letters, 2023, 21(4).
 Hui S Y R, Lee C K, Wu F. Electric springs: a new smart grid technology[J]. IEEE Transactions on Smart Grid, 2012, 3 (3): 1552-1561.
 A. J. Roscoe and G. Ault, Supporting high penetrations of renewable generation via implementation of real-time electricity pricing and demand response, IET Renewable Power Generation, vol. 4, no. 4, pp. 369–382, Jul. 2010
 A. Mohd, E. Ortjohann, and A. Schmelter, Challenges in integrating distributed energy storage systems into future smart grid, IEEE Symposium on Industrial Electronics, pp. 1627-1632, 2008.
 Yin F G, Wang C. Analysis of the effective operating range of electric spring based on reactive power compensation [J]. Power System Protection and Control, 2019, 43(01): 174-184.
 Wang Q S, Cheng M, Chen Z, Wang Z. Steady-State Analysis of Electric Springs With a Novel delta Control [J]. IEEE Transactions on Power Electronics, 2015, 30(12).
 Cheng M, Wang Q S, Zhang J Z. Theoretical Analysis and Controller Design of Electric Springs [J]. Proceedings of the CSEE, 2015, 35(10): 2436-2444.
 Wu J, Wang B H. Design of an electric spring controller based on optimal PI [J]. Electrical Automation, 2017, 39(04):39-43.
 Xuan M H, Zhang J H, Wang S J, et al. Electric spring control strategy based on variable universe fuzzy PI control [J]. Science Technology and Engineering, 2020, 20(18):6.
 Meng X, Zhu X, Zhao J. Obstacle avoidance path planning using the elite ant colony algorithm for parameter optimization of unmanned aerial vehicles [J]. Arabian Journal for Science and Engineering, 2023, 48(2): 2261-2275.
 Lina H. The global path planning for vehicular communication using ant colony algorithm in emerging wireless cloud computing [J]. Wireless Networks, 2022, 29(2).
 Kang Y F, Li Z B, Wang T. Application of PaID Control and Improved Ant Colony Algorithm in Path Planning of Substation Inspection Robot [J]. Mathematical Problems in Engineering, 2022, 2022.
 Riabko A V , Zaika O V , Kukharchuk R P, et al. Algorithm of ant colony optimization (ACO) for 3D variation traveling salesman problem[J]. Journal of Physics: Conference Series, 2022, 2288(1).