A novel integration of pd-type fuzzy logic controllers and smes devices to maintain the network frequency of a large-scale power system
Author affiliations
DOI:
https://doi.org/10.15625/1813-9663/32/3/8404Keywords:
large-scale power system, LFC, fuzzy logic controller, SMES devices, integrated control strategyAbstract
A modern electric power plant is typically considered to be a large-scale system. Due to continual and random occurrence of load changes, maintenance of network frequency (or load frequency control – LFC) at its nominal value is one of the most crucial control problems in order to ensure the stability and reliability of such an electric power grid. This study investigates a newly efficient integration of fuzzy logic controllers based on PD principle and superconducting magnetic energy storage (SMES) devices in an effort to protect the system frequency from the load variations. It is well known that the PD-based fuzzy logic controllers, when applied to an LFC strategy, are capable of damping quickly the oscillations of both the system frequency and tie-line power deviations. In addition, the load disturbances can be compensated if the network is applying the SMES devices. Therefore, the integration between them might become an efficiently feasible solution for the LFC issue. The superiority of the proposed control methodology over conventional regulators is verified through a number of numerical simulations which will be implemented in this study for a five-area electric power grid model.
Metrics
References
Richard, G. F., Power System Dynamics and Stability. Boca Raton: CRC Press LLC, pp. 10-150, 2001.
Damien, E., Mevludin, G., and Wehendel, “Power Systems Stability Control: Reinforcement Learning Framework,” IEEE Trans. on Power Systems, vol. 19, no. 1, pp. 427-435, Feb, 2004.
Hadi, S., Power System Analysis, TMH edition, pp. 100-210, 2002.
Murty, P., Operation and Control in Power Systems. BS Publications, pp. 242-280, 2008.
Chandrashekar, M.J., Jayapal, R., “Design and comparison of I, PI, PID and Fuzzy logic controller on AGC deregulated power system with HVDC link,” In: 2013 International conference on Circuits, Controls and Communications (CCUBE), pp. 1-6, 27-28 Dec. 2013.
Ateeth, K.T., Harikrishna, N., and Vigneesh, P., “Decentralized Control of Multi-Area Power System Restructuring for LFC Optimization,” In: 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems, pp. 106-112, Dec. 2012.
Subbaraj, P., and Manickavasagam, K., “Generation Control of Interconnected Power Systems Using Computational Intelligence Techniques”, IET Gener. Trans. Distrib, vol. 1, no. 4, pp. 557-563, 2007.
Devaraj, D., Selvabala, B., “Real-coded genetic algorithm and fuzzy logic approach for real-time tuning of proportional-integral - derivative controller in automatic voltage regulator system,” Generation, Transmission & Distribution, IET , vol.3, no.7, pp.641-649, July 2009.
Ching-Hung Lee, Feng-Yu Chang, Chih-Min Lin, “An Efficient Interval Type-2 Fuzzy CMAC for Chaos Time-Series Prediction and Synchronization,” IEEE Trans. on Cybernetic , vol. 44, no. 3, pp.329-341, March 2014.
Verma, R., Pal, S., Sathans, S., “Intelligent Automatic Generation Control of Two-Area Hydrothermal Power System Using ANN and Fuzzy Logic,” In: 2013 International Conference on Communication Systems and Network Technologies (CSNT), pp. 552-556, 6-8 April 2013.
Yongming Li, Shaocheng Tong, Yanjun Liu, Tieshan Li, “Adaptive Fuzzy Robust Output Feedback Control of Nonlinear Systems With Unknown Dead Zones Based on a Small-Gain Approach,” IEEE Trans. on Fuzzy Systems , vol. 22, no. 1, pp. 164-176, Feb. 2014.
Ali, M.Y., Ayman, A.A., “Non-linearities in Fuzzy Approach for Control A Two-Area Interconnected Power System,” In: Proc. IEEE International Conference on Mechatronics and Automation, pp. 706-711, Aug. 2010.
Timothy, J. R., Fuzzy Logic with Engineering Application. Willey, 3rd edition, pp. 50-151, March, 2010.
Yunus, A.M.S, Abu-Siada, A., Masoum, M.A.S., “Application of SMES unit to improve DFIG dispatch and dynamic performance during intermittent misfire and fire-through faults”, IEEE Trans. on Applied Superconductivity, vol. 23, no. 4, pp. 1-12, 2013.
Zhang, J.Y., Jin, J.X., Chen, X.Y., Xin, Z., Ren, A.L., Gong, W.Z., Ying, X., “Electric Energy Exchange and Applications of Superconducting Magnet in an SMES Device”, IEEE Trans. on Applied Superconductivity, vol. 24, no. 3, pp. 1-4, 2014.
Siddharth, S., Manimaran, G., “Model-Based Attack Detection and Mitigation for Automatic Generation Control,” IEEE Trans. on Smart Grid, vol. 5, no. 2, pp. 580-591, 2014.
Pardis, K., Umit, O., “Decentralized Control of Large-Scale Storage-Based Renewable Energy Systems,” IEEE Trans. on Smart Grid, vol. 5, no. 3, pp. 1300-1307, 2014.
Kun Zhang, Chengxiong Mao, Jiming Lu, Dan Wang, Xun Chen, JunFeng Zhang, “Optimal control of state-of-charge of superconducting magnetic energy storage for wind power system,” Renewable Power Generation, IET , vol. 8, no. 1, pp. 58-66, January 2014.
Yong Wan, Jun Zhao, “Hα control of single-machine infinite bus power systems with superconducting magnetic energy storage based on energy-shaping and backstepping,” Control Theory & Applications, IET , vol. 7, no. 5, pp. 757-764, March, 2013.
Thai Quang Vinh, Kaoru Hirota, “Decentralized robust fuzzy sliding mode control design of interconnected uncertain system”, Joumal of Advanced Computational lntelligence, Vol.6 No.1 pp 56-61, 2002
Thai Quang Vinh, Ha Manh Dao, Ho Si Bang, “Decentralized stabilization of complex systems by combination of conventional and fuzzy controls”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 7, No. 4 (1999) 423-427.
Downloads
Published
How to Cite
Issue
Section
License
1. We hereby assign copyright of our article (the Work) in all forms of media, whether now known or hereafter developed, to the Journal of Computer Science and Cybernetics. We understand that the Journal of Computer Science and Cybernetics will act on my/our behalf to publish, reproduce, distribute and transmit the Work.2. This assignment of copyright to the Journal of Computer Science and Cybernetics is done so on the understanding that permission from the Journal of Computer Science and Cybernetics is not required for me/us to reproduce, republish or distribute copies of the Work in whole or in part. We will ensure that all such copies carry a notice of copyright ownership and reference to the original journal publication.
3. We warrant that the Work is our results and has not been published before in its current or a substantially similar form and is not under consideration for another publication, does not contain any unlawful statements and does not infringe any existing copyright.
4. We also warrant that We have obtained the necessary permission from the copyright holder/s to reproduce in the article any materials including tables, diagrams or photographs not owned by me/us.