Abstract
In interconnected power system, frequency control problem is much more complex with variations in size and load. Two different areas are taken in which area 1 consists of three thermal reheat turbines with renewable energy sources, i.e., DFIG wind turbine, Photovoltaic generation system, fuel cell, battery storage system, and aqua electrolyzer. Area 2 consist of three non-reheat turbines with renewable energy sources, i.e., DFIG wind turbine, Photovoltaic generation system, fuel cell, battery storage system, and aqua electrolyzer. In this, three controllers are used, namely PID, PIDF, and cascaded PD-PI controllers. The controller parameters are effectively tuned by the “Teaching Learning Based Optimization” technique. 1% step load disturbance is applied in area 1 for analyzing the performance of the system. The performance of the power system with and without renewable energy sources is done in MATLAB software. The dynamic response of the considered system is compared in terms of undershoots, overshoots, and settling times.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kundur P, Balu NJ, Lauby MG (1994) Power system stability and control, vol 7. McGraw-Hill, New york (1994)
Kothari DP, Nagrath U (2003) Modern power system analysis. Tata McGraw-Hili, India
Garg K, Kaur J (2014) Particle swarm optimization based automatic generation control of two area interconnected power system. Int J Sci Res Publ 4(1)
Panda S, Patidar NP, Kolhe M (2016) Cascaded PD-PI controller for active power frequency control of two-area multi-units power system. In: IEEE international conference on power and renewable energy, Shanghai, China
Manoj Kumar D, Patel N, Ranjan Kumar M (2016) Automatic generation control of a two area multi-unit interconnected power system with proportional-integral-derivative controller with filter (PIDF) optimized by TLBO algorithm. In: International conference on circuit, power and computing technologies, pp 1–6
Sahu BK, Pati TK, Nayak JR, Panda S, Kar SK (2016) A novel hybrid LUS–TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system. Int J Electr Power Energy Syst 74:58–69
Ibraheem, Nazi KR, Sharma G (2015) Study on dynamic participation of wind turbines in automatic generation control of power system, electric power components and system. Taylor and Francis, pp 44–55
Kaur R, Prakash S (2017) Load frequency control of hybrid power system using intelligent controllers. In: 7th International conference on recent development in engineering science, humanities and management ESHM-17, pp 227–289
Sahu Bk, Pati S, Panda S (2014) Hybrid differential evolution particle swarm optimisation optimised fuzzy proportional–integral derivative controller for automatic generation control of interconnected power system. IET Gener Trans Distrib (2014)
Debnath MK, Jena T, Mallick RK (2016) Novel PD-PID cascaded controller for automatic generation control of a multi-area interconnected power system optimized by Grey Wolf Optimization (GWO). In: 1st IEEE international conference on power electronics, intelligent control and energy systems, Delhi, India, pp 1–6
Nilaykumar N, Kotwal D (2016) The State space modeling of single, two and three a LFC of power system using integral control and optimal LQR control method. IOSR J Eng 2(3):501–510
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Venkatesh, P., Sri Kumar, K. (2021). Automatic Generation Control with Renewable Energy Sources Optimized by TLBO Algorithm. In: Sekhar, G.C., Behera, H.S., Nayak, J., Naik, B., Pelusi, D. (eds) Intelligent Computing in Control and Communication. Lecture Notes in Electrical Engineering, vol 702. Springer, Singapore. https://doi.org/10.1007/978-981-15-8439-8_35
Download citation
DOI: https://doi.org/10.1007/978-981-15-8439-8_35
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8438-1
Online ISBN: 978-981-15-8439-8
eBook Packages: Computer ScienceComputer Science (R0)