• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2022, Volume: 15, Issue: 25, Pages: 1264-1273

Original Article

Dynamic Response of Multi Area Load Frequency Control through Different Computational Techniques

Received Date:25 January 2021, Accepted Date:06 May 2022, Published Date:11 July 2022

Abstract

Objective: To employ optimization technique (GA (Genetic Algorithm) Technique) to solve the problem of power generation, by means of mathematical approach to formulate the problem mathematically. Methods: Thermal units have been taken as a source of power generation. Transfer function model of thermal generating units has been developed and simulated through MATLAB Simulink software. The main issue of power generation is the continuous mismatching in the generation and consumption of electricity due to which continuous the change in frequency and corresponding power becomes a major issue, which need to be maintained in constancy for regular operation. For this purpose, optimization technique (GA Technique), PI (Proportional Plus Integral), PID (Proportional Plus Integral Plus Derivative) technique have been used to solve the issue of frequency and corresponding power. Findings: Solve the issues of change in frequency and corresponding tie line power, a table has been drawn for batter comparison. Novelty: The comparative results obtained from all technique have been put in table which shows that the optimization technique (GA Technique) gives very effective, efficient and dynamic results (8 Sec and 11 Sec in Frequency & Power Variation) compared to traditional technique (PI, PID) (28 Sec, 44 Sec & 27 Sec & 43 Sec in Frequency & Power Variation).

Keywords: Traditional Technique; GA (Genetic Algorithm) Technique; Optimization Technique; Power Generation

References

  1. Huynh VV, Tran P, Nguyen TM, Van-DucPhan, Pham VT. Advanced Sliding Mode Observer Design for Load Frequency Control of Multiarea Multisource Power Systems. International Transactions on Electrical Energy Systems. 2022. Available from: https://doi.org/10.1155/ 2022/6587194
  2. Arora K, Kumar A, Kamboj VK, Prashar D, Jha S, Shrestha B, et al. Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids. Mathematics. 2020;8(6):980. doi: 10.3390/math8060980
  3. Montoya FG, Baños R, Alcayde A, Manzano-Agugliaro F. Optimization Methods Applied to Power Systems. Energies. 2019;12(12):2302. doi: 10.3390/en12122302
  4. Han D, Tong XJJ. Review of Mathematical Methodology for Electric Power Optimization Problems. Journal of the Operations Research Society of China. 2020;8(2):295–309. Available from: https://doi.org/10.1007
  5. Chaturvediratnesh D. Fuzzy and PI Controller Based Load Frequency Control of Thermal-Hydro Power System. International Journal of Innovative Science, Engineering & Technology. 2014;1(3). Available from: http://www.ijiset.com/v1s3/IJISET_V1_I3_44.pdf
  6. Prakash S, Sinha SK. Four area Load Frequency Control of interconnected hydro-thermal power system by Intelligent PID control technique. 2012 Students Conference on Engineering and Systems. 2012;p. 1–6. doi: 10.1109/SCES.2012.6199090
  7. Gabano JDD, Poinot T, Kanoun H. Identification of a thermal system using continuous linear parameter-varying fractional modelling. IET Control Theory & Applications. 2011;5(7):889–899. doi: 10.1049/iet-cta.2010.0222
  8. Hassen SZS, Jahmeerbacus MI. Optimal frequency regulation of a two-area power system. 2013 IEEE International Conference on Industrial Technology (ICIT). 2013;p. 140–145. doi: 10.1109/ICIT.2013.6505662
  9. PMS, Yeong-Han C, Yeong-Han C. Tuning of Generating Unit Controller for the Generators with Governor. Transmission & Distribution Conference & Exposition: Asia and Pacific. 2009;p. 1–4. doi: 10.1109/TD-ASIA.2009.5356854
  10. Kothari DP, Nagrath J. Modern Power System Analysis. 2013.
  11. Sánchez MG, Macia YM, Gil AF, Castro C, González SN, PedreraYanes JA. A Mathematical Model for the Optimization of. Renewable Energy Systems. Mathematics. 2021;9(39). Available from: https://doi.org/10.3390/math9010039

Copyright

© 2022 Dhamanda & Dutt. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Indian Society for Education and Environment (iSee)

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