THERMAL SCIENCE

International Scientific Journal

Venkatachalam Kumarakrishnan

,

Govindaraj Vijayakumar

,

Ragupathi Prakash

,

Siddhan Saravanan

ANT COLONY OPTIMIZATION TECHNIQUE OPTIMIZED CONTROLLER FOR FREQUENCY STABILIZATION OF AN ISOLATED POWER SYSTEM WITH NON-LINEARITY

ABSTRACT
The load frequency control of a thermal power producing system, the ant colony optimization (ACO) approach adjusted proportional integral derivative (PID) controller is proposed. This work examines the single area thermal power system with /without generation rate constraint. For emergency situations, a PID controller is developed and used to regulate power system characteristics. This study uses the ACO method with the integral time absolute error objective function optimize controller gain values. In addition, the performance of the suggested approach is evaluated by introducing non-linearity components to the power-generating systems under study. Conventional, particle swarm optimization (PSO), and genetic algorithms (GA) approach tuned controller responses are compared with ACO. Fast settling with minimal peak and undershoots in the producing power supply of the system under emergency loading situations demonstrates the superiority of the proposed controller over competing controllers.
KEYWORDS
Frequency regulation, PID controller, Frequency deviation, particle swarm optimization, Frequency oscillation
PAPER SUBMITTED: 2022-11-12
PAPER REVISED: 2023-09-15
PAPER ACCEPTED: 2023-10-03
PUBLISHED ONLINE: 2023-11-11
DOI REFERENCE: https://doi.org/10.2298/TSCI221112247K
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 6, PAGES [4815 - 4829]
REFERENCES
  1. Elgerd, O. I. Electric energy systems theory: an introduction. (1982).
  2. Nagrath, J, Kothari, D.P. Power System Engineering. Tata Mc-Graw Hill Publishing Company Limited, New Delhi (1994).
  3. Choudhary, R., Rai, J. N., & Arya, Y. Automatic generation control for single area power system using GNA tuned PID controller. In Journal of Physics: Conference Series. 1478 (2020), pp. 012011.
  4. Davtalab, S., Tousi, B., &Nazarpour, D. Optimized Intelligent Coordinator for Load Frequency Control in a Two-Area System with PV Plant and Thermal Generator. IETE Journal of Research, (2020), pp.1-11.
  5. Tripathy, D., Choudhury, N. D., & Sahu, B. K. A novel cascaded fuzzy PD-PI controller for load frequency study of solar-thermal/wind generator-based interconnected power system using grasshopper optimization algorithm. The International Journal of Electrical Engineering & Education, (2020).
  6. Saurabh, K., Gupta, N. K., & Singh, A. K. Fractional Order Controller Design for Load Frequency Control of Single Area and Two Area System. In 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN) (2020), pp. 531-536.
  7. Revathi, D., & Mohan Kumar, G. Analysis of LFC in PV‐thermal‐thermal interconnected power system using fuzzy gain scheduling. International Transactions on Electrical Energy Systems, 30(5) (2020).
  8. Prajapati, Y. R., Kamat, V. N., & Patel, J. Load Frequency Control Under Restructured Power System Using Electrical Vehicle as Distributed Energy Source. Journal of The Institution of Engineers (India): Series B, 101(4) (2020), pp. 379-387.
  9. Vedik, B., Kumar, R., Deshmukh, R., Verma, S., & Shiva, C. K. Renewable Energy-Based Load Frequency Stabilization of Interconnected Power Systems Using Quasi-Oppositional Dragonfly Algorithm. Journal of Control, Automation and Electrical Systems, (2020), pp. 1- 17.
  10. Mudi, J., Shiva, C. K., Vedik, B., & Mukherjee, V. Frequency Stabilization of Solar Thermal- Photovoltaic Hybrid Renewable Power Generation Using Energy Storage Devices. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, (2020), pp. 1-21.
  11. Ali, H. H., Fathy, A., &Kassem, A. M. Optimal model predictive control for LFC of multiinterconnected plants comprising renewable energy sources based on recent sooty terns approach. Sustainable Energy Technologies and Assessments, 42 (2020).
  12. HaesAlhelou, H., HamedaniGolshan, M. E., &HajiakbariFini, M. Wind driven optimization algorithm application to load frequency control in interconnected power systems considering GRC and GDB nonlinearities. Electric Power Components and Systems, 46(11-12) (2018), pp. 1223-1238.
  13. Jagatheesan, K., & Anand, B. AGC of multi-area hydro-thermal power systems with GRC non-linearity and classical controller. Journal of Global Information Management (JGIM), 26(3) (2018), pp. 11-24.
  14. Kumarakrishnan, V., Vijayakumar, G., Boopathi, D., Jagatheesan, K., & Anand, B. Optimized PSO Technique Based PID Controller for Load Frequency Control of Single Area Power System. Solid State Technology, 63(5) (2020), pp. 7979-7990.
  15. Dhanasekaran, B., Siddhan, S., &Kaliannan, J. Ant colony optimization technique tuned controller for frequency regulation of single area nuclear power generating system. Microprocessors and Microsystems, 73 (2020).
  16. Saxena, S. Load frequency control strategy via fractional-order controller and reduced-order modeling. International Journal of Electrical Power & Energy Systems, 104 (2019), pp. 603- 614.
  17. Sondhi, S., &Hote, Y. V. Fractional order PID controller for load frequency control. Energy Conversion and Management, 85 (2014), pp. 343-353.
  18. Jagatheesan, K., Anand, B., Dey, N., &Ebrahim, M. A. Design of proportional-integralderivative controller using stochastic particle swarm optimization technique for single-area AGC including SMES and RFB units. In Proceedings of the Second International Conference on Computer and Communication Technologies, (2016), pp. 299-309.
  19. Panwar, A., Sharma, G., Nasiruddin, I., & Bansal, R. C. Frequency stabilization of hydro- hydro power system using hybrid bacteria foraging PSO with UPFC and HAE. Electric Power Systems Research, 161 (2018), pp. 74-85.
  20. Omar, M., Soliman, M., Ghany, A. A., &Bendary, F. Optimal tuning of PID controllers for hydrothermal load frequency control using ant colony optimization. International journal on electrical engineering and informatics, 5(3) (2013), pp. 348.
  21. Tasnin, W., Saikia, L. C., Saha, D., Rajbongshi, R., &Saha, A. Effect of Geothermal and Other Renewables on AGC of an Interconnected Thermal System. In Innovations in Infrastructure, (2019) pp. 481-491.
  22. Tavakoli, M., Pouresmaeil, E., Adabi, J., Godina, R., &Catalão, J. P. Load-frequency control in a multi-source power system connected to wind farms through multi terminal HVDC systems. Computers & Operations Research, 96 (2018), pp. 305-315.
  23. Sambariya, D. K., &Fagna, R. A novel Elephant Herding Optimization based PID controller design for Load frequency control in power system. In 2017 International Conference on Computer, Communications and Electronics. (2017) pp. 595-600.
  24. Acharyulu, B. V. S., Mohanty, B., & Hota, P. K. Comparative performance analysis of PID controller with filter for automatic generation control with moth-flame optimization algorithm. In Applications of Artificial Intelligence Techniques in Engineering, (2019), pp. 509-518.
  25. Nandi, M., Shiva, C. K., & Mukherjee, V. Moth-Flame Algorithm for TCSC-and SMESBased Controller Design in Automatic Generation Control of a Two-Area Multi-unit Hydropower System. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, (2019), pp. 1-24.
  26. Shabani, H., Vahidi, B., &Ebrahimpour, M. A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems. ISA transactions, 52(1) (2013), pp. 88-95.
  27. Fagna, R. Load frequency control of single area thermal power plant using type 1 fuzzy logic controller. Science Journal of Circuits, Systems and Signal Processing, 6(6) (2017), pp. 50-56.
  28. Kennedy, J., & Eberhart, R. Particle swarm optimization. In Proceedings of ICNN'95- International Conference on Neural Networks. 4 (1995) pp. 1942-1948.
  29. Dorigo, M., & Gambardella, L. M. Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on evolutionary computation, 1(1) (1997), 53- 66.
  30. Boopathi, D., Saravanan, S., Jagatheesan, K., & Anand, B. Performance Estimation of Frequency Regulation for a Micro-Grid Power System Using PSO-PID Controller. International Journal of Applied Evolutionary Computation (IJAEC), 12(2) (2021), pp.36-49.
  31. Kumarakrishnan, V., Vijayakumar, G., Jagatheesan, K., Boopathi, D., Anand, B. and Kanendra Naidu, V.. PSO Optimum Design-PID Controller for Frequency Management of Single Area Multi-Source Power Generating System. In Contemporary Issues in Communication, Cloud and Big Data Analytics (2022), pp. 373-383.
  32. Jagatheesan, K., Samanta, S., Boopathi, D. and Anand, B., December. Frequency Stability Analysis of Microgrid interconnected Thermal Power Generating System with GWO tuned PID controller. 9th IEEE International Conference on Power Systems (ICPS) (2021), pp. 1-5.
  33. Deb Barma M, Indiran MA, Kumar R P, Balasubramaniam A, Kumar MPS. Quality of life among head and neck cancer treated patients in South India: A cross-sectional study. J Oral Biol Craniofac Res. 11(2) (2021), pp. 215-218.
  34. Verma P, Muthuswamy Pandian S. Bionic effects of nano hydroxyapatite dentifrice on demineralised surface of enamel post orthodontic debonding: in-vivo split mouth study. Prog Orthod. 22(1) (2021).
  35. Priyadarshini, P., Jeevanandan, G., Govindaraju, L. et al. Clinical evaluation of instrumentation time and quality of obturation using paediatric hand and rotary file systems with conventional hand K-files for pulpectomy in primary mandibular molars: a doubleblinded randomized controlled trial. Eur Arch Paediatr Dent 21 (2020), pp. 693-701.
  36. Ezhilarasan D, Lakshmi T, Subha M, Deepak Nallasamy V, Raghunandhakumar S. The ambiguous role of sirtuins in head and neck squamous cell carcinoma. Oral Dis. 28(3) (2022), pp. 559-567.
  37. Pandiar D, Ramani P, Krishnan RP, Y D. Histopathological analysis of soft tissue changes in gingival biopsied specimen from patients with underlying corona virus disease associated mucormycosis (CAM). Med Oral Patol Oral Cir Bucal. 27(3) (2022), pp. 216-222.
  38. Muthukrishnan Sivaprakash, Krishnaswamy Haribabu, Thanikodi Sathish, Sundaresan Dinesh and Venkatraman Vijayan, Support vector machine for modelling and simulation of heat exchangers. Thermal Science, 24 (2020), pp. 499-503.
  39. Krishnaswamy Haribabu, Muthukrishnan Sivaprakash, Thanikodi Sathish, Arockiaraj Godwin Antony and Venkatraman Vijayan, Investigation of air conditioning temperature variation by modifying the structure of passenger car using computational fluid dynamics, Thermal Science, 24 (2020), pp. 495-498.
  40. Thanikodi Sathish, Singaravelu Dinesh Kumar, Devarajan Chandramohan, Devarajan Chandramohan, Venkatraman Vijayan and Rathinavelu Venkatesh, Teaching learning optimization and neural network for the effective prediction of heat transfer rates in tube heat exchangers, Thermal Science, 24 (2020), pp. 575-581.
  41. Perumal Sakthivel, Rajendrian Srinivasan, Venkatraman Vijayan, Sundaresan Dinesh and Pandiyan Lakshmanan, Experimental study about thermal resistance of windows with air gap between two glasses used in single houses, Thermal Science, 24 (2020), pp. 575-581.
  42. Paranthaman Saravanan, Dharmalingam Mala, Arockiaraj Godwin Antony and Venkatraman Vijayan, An experimental investigation on a low heat rejection diesel engine using waste plastic oil with different injection timing, Thermal Science, 24 (2020), pp. 453-461.
PDF VERSION [DOWNLOAD]
Ant colony optimization technique optimized controller for frequency stabilization of an isolated power system with non-linearity

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence