AGC for Multi-Area Interconnected Using Computational Algorithm
Abstract
This article outcome is a comparative analysis of Automatic Generation Control (AGC) of a multi-area interconnected hydrothermal gas system in different modes using computational algorithm controllers for the electrical and mechanical governors. Two areas have been implemented. The first area comprises a Thermal and Hydropower station, while the second area consists of a Thermal and Gas power station. The AGC of a multi-area power system is examined to increase frequency stability using improved PID controllers under 1%∆P. The multi-technique is used to tune the gains of PID and its Sine Cosine Algorithms (SCA), Particle Swarm Optimization (PSO), Gray Wolf Optimization (GWO), and Genetic Algorithms (GA). The Implementation determines the validity of the four intelligent techniques for tuning the PID controller parameters to improve the frequency and tie-line deviation difficulties and increase the power system's stability. Finally, the SCA's comparison of dynamic performance to settling time, overshoot, and undershoot in frequency and tie-line power deviations proved to be slightly better than other algorithms with some convergence in results.
Keywords: automatic generation control, PID controller, computational algorithm, power systems.
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ESPE E., VIDYASAGAR P., and CHANG E. Prosumer communities and relationships in smart grids: A literature review, evolution, and future directions. Energies, 2018, 11(10): 2528. https://doi.org/10.3390/en11102528
SULTAN A. J. Optimal control of load frequency power system based on particle swarm optimization technique. The International Journal of Engineering and Science, 2016, 5: 1-8. https://doi.org/10.1109/CISTEM.2014.7077013
ALOTAIBI I., ABIDO M. A., KHALID M., and SAVKIN A. V. A comprehensive review of recent advances in smart grids: A sustainable future with renewable energy resources. Energies, 2020, 13(23): 6269. https://doi.org/10.3390/en13236269
SULTAN A. J., & FALAH N. S. AGC of multi-area power system based PSO under deregulated conditions. International Journal of Engineering & Technology, 2018, 7(3): 1446-1452. http://dx.doi.org/10.14419/ijet.v7i3.13076
ZHAO X., LIN Z., FU B., YANG Y., and MA J. A Distributed AGC Method considering Two-Channel Random Delays and Their Difference between Interconnected Power Systems. Journal of Electrical and Computer Engineering, 2019: 4261304. https://www.hindawi.com/journals/jece/2019/4261304/
HAKIMUDDIN N., NASIRUDDIN I., BHATTI T. S., and ARYA Y. Optimal Automatic Generation Control with Hydro, Thermal, Gas, and Wind Power Plants in 2-Area Interconnected Power System. Electric Power Components and Systems, 2020, 48(6-7): 558-571. https://doi.org/10.1080/15325008.2020.1793829
SAHU, P. C., & RAMESH C. P. Frequency and tie-line power awareness in eco-AGC of multi-area power system with SSO-based fractional order controller. International Journal of Power and Energy Conversion, 2020, 11(2): 200-221. https://dx.doi.org/10.1504/IJPEC.2020.106273
MISHRA R. N., CHATURVEDI D. K., and PRABHAT K. Recent Philosophies of AGC Techniques in Deregulated Power Environment. Journal of The Institution of Engineers (India), 2020, 101(3): 1-17. http://dx.doi.org/10.1007/s40031-020-00463-8
GHASEMI-MARZBALI A. Multi-area multi-source automatic generation control in deregulated power system. Energy, 2020, 201: 117667. https://doi.org/10.1016/j.energy.2020.117667
KHAMARI D., RABINDRA K.S., and SIDHARTHA P. Application of search group algorithm for automatic generation control of multi-area multi-source power systems. E3S web of conferences, 2019, 87(3): 01005. http://dx.doi.org/10.1051/e3sconf/20198701005
SULTAN A. J. Optimal Load Frequency Control in a Single Area Power System Based Genetic Algorithm. International Journal of Scientific & Engineering Research, 2014, 5(1): 2196-2200. https://www.citefactor.org/journal/pdf/Optimal-Load-Frequency-Control-in-a-Single.pdf
ALZAAREER K., AL-SHETWI A. Q., EL-BAYEH C. Z., and TAHA M. B. Automatic Generation Control of Multi-area Interconnected Power Systems Using ANN Controller. Revue d'Intelligence Artifficielle, 2020, 34(1): 1-10. http://dx.doi.org/10.18280/ria.340101
HATZIARGYRIOU N., MILANOVIC J., RAHMANN C., AJJARAPU V., CANIZARES C., ERLICH I., HILL D., HISKENS I., KAMWA I., PAL B., POURBEIK P., SANCHEZ-GASCA J., STANKOVIC A., VAN CUTSEM T., VITTAL V., and VOURNAS C. Definition and classification of power system stability revisited & extended. IEEE Transactions on Power Systems, 2020, 36(4): 3271-3281. https://doi.org/10.1109/TPWRS.2020.3041774
SHAIR J., LI H., HU J., and XIE X. Power system stability issues, classifications and research prospects in the context of high-penetration of renewables and power electronics. Renewable and Sustainable Energy Reviews, 2021, 145: 111111. https://doi.org/10.1016/j.rser.2021.111111
MAGDY G., BAKEER A., SHABIB G., ELBASET A. A., and MITANI Y. Decentralized model predictive control strategy of a realistic multi power system automatic generation control. 2017 Nineteenth International Middle East Power Systems Conference. IEEE, 2017: 190-196. https://doi.org/10.1109/MEPCON.2017.8301183
SAHU P. C., RAMESH C. P., and SAHOO B. K. Modified sine cosine algorithm-based fuzzy-aided PID controller for automatic generation control of multi-area power systems. Soft Computing, 2020, 24(17): 12919-12936. https://link.springer.com/article/10.1007/s00500-020-04716-y
PALIWAL N., LAXMI S., and MANJAREE P. PSO-Based PID Controller Designing for LFC of Single Area Electrical Power. Nature Inspired Optimization for Electrical Power System. Springer, New York, 2020: 43-54. http://dx.doi.org/10.1007/978-981-15-4004-2_4
MADASU S. D., SAI KUMAR M. L. S., and ARUN K. S. Comparable investigation of backtracking search algorithm in automatic generation control for two area reheat interconnected thermal power system. Applied Soft Computing, 2017, 55: 197-210. http://dx.doi.org/10.1016/j.asoc.2017.01.018
SAHU P. C., RAMESH C. P., and SIDHARTHA P. MFO algorithm based fuzzy-PID controller in automatic generation control of multi-area system. 2017 International Conference on Circuit, Power and Computing Technologies. IEEE, 2017: 1-6. https://doi.org/10.1109/ICCPCT.2017.8074316
YANG F., JING H., and DIANHUI W. New stability criteria of delayed load frequency control systems via infinite-series-based inequality. IEEE Transactions on Industrial Informatics, 2017, 14(1): 231-240. https://doi.org/10.1109/TII.2017.2751510
HAKIMUDDIN N., IBRAHEEM N., and TERLOCHAN S. B. Generation based automatic generation control with multisources power system using bacterial foraging algorithm. Engineering Reports, 2020, 2(8): e12191. https://doi.org/10.1002/eng2.12191
ARYA Y., & NARENDRA K. Design and analysis of BFOA-optimized fuzzy PI/PID controller for AGC of multi-area traditional/restructured electrical power systems. Soft Computing, 2017, 21: 6435-6452. https://doi.org/10.1007/s00500-016-2202-2
ÇELIK E. Improved stochastic fractal search algorithm and modified cost function for automatic generation control of interconnected electric power systems. Engineering Applications of Artificial Intelligence, 2020, 88: 103407. https://doi.org/10.1016/j.engappai.2019.103407
KUMAR R., & SHARMA V. K. Automatic generation controller for multi area multi-source regulated power system using grasshopper optimization algorithm with fuzzy predictive PID controller. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2021, 34(1): e2802. https://doi.org/10.1002/jnm.2802
HASANIEN H. M., & ATTIA A. E.-F. Salp swarm algorithm-based optimal load frequency control of hybrid renewable power systems with communication delay and excitation cross-coupling effect. Electric Power Systems Research, 2019, 176: 105938. https://doi.org/10.1016/j.epsr.2019.105938
KUMAR N., BARJEEV T., and VISHAL K. Deregulated multi-area AGC scheme using BBBC-FOPID controller. Arabian Journal for Science and Engineering, 2017, 42(7): 2641-2649. https://doi.org/10.1007/s13369-016-2293-1
SAHOO S., JENA N. K., NAIK A. K., SAHU B. K., and DEBNATH M. K. Optimal design and implementation of fuzzy fractional order PID controller for AGC study. 2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy. IEEE, 2020. https://doi.org/10.1109/CISPSSE49931.2020.9212249
ARYA Y. AGC of PV-thermal and hydrothermal power systems using CES and a new multi-stage FPIDF-(1+ PI) controller. Renewable energy, 2019, 134: 796-806. https://doi.org/10.1016/j.renene.2018.11.071
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