Frequency Control in an Autonomous Microgrid Using GA Based Optimization Technique

Authors

  • H. R. Sridevi Nitte Meenakshi Institute of technology, Bengaluru, Karnataka, India
  • Shefali Jagwani Nitte Meenakshi Institute of technology, Bengaluru, Karnataka, India
  • Shreeram V. Kulkarni Nitte Meenakshi Institute of technology, Bengaluru, Karnataka, India
  • H. M. Ravikumar Nitte Meenakshi Institute of technology, Bengaluru, Karnataka, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.38210

Keywords:

Distributed energy sources, autonomous microgrid, genetic algorithm, frequency control, active power sharing

Abstract

In recent times the rapid development of distributed energy sources has transformed the conventional electrical grid to a decentralised system. This has led to the advancement in research of microgrid. In the conventional grid, the voltage and frequency regulation depends on the speed control of alternators connected to the grid. But for an autonomous microgrid, the voltage and frequency has to be regulated independent of the main grid. Deviation in the frequency occurs whenever there is change in the load and due to inherent variability of distributed energy sources. This deviation can be regulated by optimising the droop coefficients using Genetic algorithm (GA). Simulations have been carried out in MATLAB/SIMULINK for different types of loads (linear and non-linear) and results are shown for frequency deviation, and active power sharing of the DGs. The responses for frequency deviations with and without GA optimizations are presented.

Downloads

Download data is not yet available.

Author Biographies

H. R. Sridevi, Nitte Meenakshi Institute of technology, Bengaluru, Karnataka, India

H. R. Sridevi, was born in Bengaluru, India, 1983. Received B.E. degree in Electrical and Electronics Engineering (EEE) from M.S. Ramaiah Institute of technology, Bengaluru, India. Received M.Tech. degree in Power Electronics from B M S college of engineering, Bengaluru, India. She is Pursuing her Ph.D. degree in the area of Microgrids. She is presently working as a Assistant Professor in the Department of Electrical and Electronics Engineering in Nitte Meenakshi Institute of Technology (NMIT), Bengaluru, Karnataka, India. She is a Life member of Indian Society of Systems for Science and Engineering. She has authored and co-authored some papers in International Conferences. Her areas of interests include Power Systmes, Power Electronics and Microgrids.

Shefali Jagwani, Nitte Meenakshi Institute of technology, Bengaluru, Karnataka, India

Shefali Jagwani received B.E degree in 2009 and ME in Power Systems in 2011. She received her PhD degree in 2019 from BMS College of Engineering Bangalore. She is currently working as Head, Power Engineering Centre of Excellence and Associate Professor in Department of Electrical and Electronics Engineering at NMIT Bangalore. She is a senior member, IEEE and has 9+ years of academic and research experience. She has received many awards and recognitions. She is currently an executive committee member of IEEE PELS and IES Bangalore Section and is recently nominated as treasurer for Industrial Electronic Society 2021. She has co-authored one book and many international papers. Also, she is the reviewer of many Elsevier and IEEE Journals. She is the member of BoE, BoS in NMIT and her areas of interests include Power Electronics and Drives, Switched Reluctance Machines, WindEnergy Generation, etc.

Shreeram V. Kulkarni, Nitte Meenakshi Institute of technology, Bengaluru, Karnataka, India

Shreeram V. Kulkarni received B.E. degree in Electrical and Electronics Engineering (EEE) from Guru Nanak Dev Engineering College (GNDEC) Bidar, Karnataka, India. Received M.Tech. degree in Electrical Power Systems (EPS) from Shri Dharmasthala Manjunatheshwara College of Engineering and Technology (SDMCET), Dhavalagiri Dharwad, Karnataka, India. He is the graduate student member of IEEE (GSIEEE). His research interests are Power System Analysis and Control, Microgrid Operation, Droop Control for parallel connected DGs, and Islanding detection for grid connected power electronic based DG systems and published research papers in journal and conferences. Completed his Ph.D. degree in Power Systems from National Institute of Technology Karnataka (NITK), Surathkal, India. Presently working as a Assistant Professor in the Department of Electrical and Electronics Engineering in Nitte Meenakshi Institute of Technology (NMIT), Bengaluru, Karnataka, India.

H. M. Ravikumar, Nitte Meenakshi Institute of technology, Bengaluru, Karnataka, India

H. M. Ravikumar received B.E. degree in Electrical and Electronics in 1984, from Dayananda Sagar College of Engineering, Bengaluru, M.E in Power systems from NIE, Mysuru in 1990 and Ph.D from IIT Bombay in 2000. He is working as a Professor in the department of Electrical and Electronics Engineering, NMIT. He has authored and co-authored in many international papers. He has 35+ years of teaching expereince. His areas of interest are in Power systems, Artificial Intelligence, Fuzzy logic.

References

R. H. Lasseter and P. Paigi, ‘Microgrid: a conceptual solution’, Proc. IEEE 35th Annual Power Electronics Specialists Conference, pp. 4285–4290, 2004.

D. E. Olivares et al., ‘Trends in Microgrid Control’, IEEE Transactions on Smart Grid. 2014; 5(4):1905–1919.

Gartner Report, Financial Times, 2007.

Hua Han, Xiaochao Hou, Jian Yang, Jifa Wu, Mei Su and Joseph M. Guerrero. Review of Power sharing control strategies for islanding operation of AC Microgrids. IEEE transactions on Smart Grid. 2016; 7(1):200–215.

J. A. Peças Lopes, C. L. Moreira, and A. G. Madureira. Defining Control Strategies for MicroGrids Islanded Operation. IEEE transactions on power systems. 2006; 21(2):916–924.

S. Khongkhachat and S. Khomfoi. Droop control strategy of AC microgrid in islanding mode. In Proceedings of 18th International Conference on Electrical Machines and Systems 2015 (pp. 2093–2098).

A. El MoubarekBouzid, P. Sicard, A. Yamane and J. Paquin. Simulation of droop control strategy for parallel inverters in autonomous AC microgrids. In Proceedings of 8th International Conference on Modelling, Identification and Control, 2016 (pp. 701–706).

Hassan Bevrani and ShoreshShokoohi. An Intelligent Droop control for simultaneous Voltage and Frequency regulation in Islanded Microgrids. IEEE transactions on Smart Grid. 2013; 4(3):1505–1513.

Mohammad S. Golsorkhi and Dylan D. C. Lu. A Control method for Inverter -based Islanded Microgrids based on V-I Droop characteristics. IEEE transactions on Power delivery. 2015; 30(3):1196–1204.

T. A. Jumani, M. W. Mustafa, A. S. Alghamdi, M. M. Rasid, A. Alamgir and A. B. Awan. Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review. IEEE Access. 2020; 8:75986–76001.

C. Suchetha and J. Ramprabhakar. Optimization Techniques for Operation and Control of Microgrids – Review. Journal of Green Engineering; 8(4):621–644.

Waleed Al-Saedi, Stefan W. Lachowicz, DaryoushHabibi, Octavian Bass. Voltage and frequency regulation based DG unit in an autonomous microgrid operation using Particle Swarm Optimization. International Journal of Electrical Power & Energy Systems. 2013; 53:742–751.

W. Al-Saedi, S. Lachowicz, D. Habibi and O. Bass. PSO algorithm for an optimal power controller in a Microgrid. In Proceedings of International Conference on Sustainable Energy Engineering 2017 (pp. 12–28).

Mehrdad Ahmadi Kamarposhti, Optimal control of islanded Microgrid using Particle Swarm Optimization algorithm. International Journal of Industrial Electronics, control and optimization. 2018; 1(1):53–60.

N. Pogaku, M. Prodanovic and T. C. Green. Modeling, Analysis and Testing of Autonomous operation of an inverter based Microgrid. IEEE transaction on Power Electronics. 2007; 22(2):613–625.

Kulkarni Shreeram V, and Dattatraya N Gaonkar, Improved droop control strategy for parallel connected power electronic converter based distributed generation sources in an Islanded Microgrid. Electric Power Systems Research. 2021; 201:107531.

Alam, T., Qamar, S., Dixit, A., &Benaida, M. Genetic Algorithm: Reviews, Implementations, and Applications. International Journal of Engineering Pedagogy. 2020; 10(6):57.

A. Basati, M. B. Menhaj and A. Fakharian. GA-based optimal droop control approach to improve voltage regulation and equal power sharing for islanded DC microgrids. In Proceedings of Electric Power Quality and Supply Reliability, 2016 (pp. 145–150).

M. Farrokhabadi, C. A. Cañizares and K. Bhattacharya. Frequency Control in Isolated/Islanded Microgrids through Voltage Regulation. IEEE Transactions on Smart Grid. 2017; 8(3):1185–1194.

TanvirAhmmed, Irin Akhter, S. M. Rezeaul Karim, F. A. SabbirAhamed. Genetic Algorithms for PID Parameter Optimisation. American Journal of Intelligent Systems. 2020; 10(1):8–13.

Razavi. F, Torani. R, Askarian. I, Asgharizadeh. A, Masoomi N. Optimal design of islanded microgrid using Genetic algorithm. In Proceedings of the International Conference on Genetic and Evolutionary methods 2012.

Published

2023-01-03

How to Cite

Sridevi, H. R. ., Jagwani, S. ., Kulkarni, S. V. ., & Ravikumar, H. M. . (2023). Frequency Control in an Autonomous Microgrid Using GA Based Optimization Technique. Distributed Generation &Amp; Alternative Energy Journal, 38(02), 595–610. https://doi.org/10.13052/dgaej2156-3306.38210

Issue

Section

Articles