Implementation of Modified Differential Evolution Algorithm for Hybrid Renewable Energy System

https://doi.org/10.46481/jnsps.2021.240

Authors

  • G. R. Venkatakrishnan Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai
  • R. Rengaraj Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai
  • K. K. Sathish Department of Chemical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai
  • R. K. Dinesh Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai
  • T. Nishanth Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai

Keywords:

Hybrid Systems, Evolutionary Algorithms, Renewable Energy, Differential Evolution

Abstract

A hybrid renewable energy system, which could provide a reliable energy alternative for conventional Battery systems is implemented in this paper. The primary requirement is that the hybrid energy system should be cost-effective while meeting the energy demand. The hybrid system is implemented to a area located in Uttarakhand, India using solar photovoltaic cells to supply power during hot and humid conditions and using wind turbine generators to supply power during windy conditions. The wind turbine generators and photovoltaic cells are used in a combined manner along with the diesel generators as in case if it fails to meet the demand. In order to meet the requirements, modified Differential Evolution (DE) Algorithm is being implemented. Moreover, the effectiveness of the performance is evaluated by comparing the results obtained from modified DE with other optimization algorithms. In comparison with other optimization algorithms, results indicate that the implementation of the modified DE algorithm helps in obtaining the best cost effective solution for the system along with meeting the energy demand. 

Dimensions

A. Azarpour, S. Suhaimi, G. Zahedi & A. Bahadori, “A review on the drawbacks of renewable energy as a promising energy source of the future”, Arabian Journal for Science and Engineering 38 (2013) 317.

L. Rodr´?guez U, J. Valencia, D. Rodr´?guez U & A. Mart´?nez G, “Design, implementation and operation of a solar hybrid system in a remote area in the Colombian Guajira desert” WIT Transactions on Ecology and the Environment 195 (2015) 427.

H. Soonmin, A. Lomi, E. C. Okoroigwe & L. R. Urrego, “Investigation of solar energy –The case Study in Malaysia, Indonesia, Columbia and Nigeria”, International Journal of Renewable Energy Research 9 (2019).

T. Agarwal, S. Verma & A. Gaurh, “Issues in wind energy”, International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) (2016).

M. S. Pranav, S. Saravanan, V. M. Afsal, K.Karunanithi, M. Akhil & A. Krishnan “Hybrid renewable energy resources(HRES) –A review”, International Conference on Intelligent Computing, Instrumentation and Control Techniques(ICICICT).

K. Joshi, S. Chandel & A. Ashok, “Optimal economic analysis of hybrid renewable energy system”, IEEE (2016).

I. Elsayed, I. Nassar & F. Mostafa, “Optimization and economic evaluation of small scale hybrid solar/wind power for remote areas in Egypt”, Nineteenth International Middle East Power Systems Conference(MEPCON), Menoufia University, Egypt.

M. Amer, A. Namaane & N.K. M’Sirdi, “Optimization of hybrid renewable energy systems(HRES) using PSO for cost reduction”, The Mediterranean Green Energy Farm (2013). [

Y. Sawle, S. C.Gupta & A. K. Bohre, “Optimal Sizing of standalone PV/Wind/Biomass hybrid energy system using GA and PSO Optimization technique”, 1st International Conference on Power Engineering Computing and Control, PECCON (2017), 1876.

A. Ahadi, S. Kang & J. Lee “A novel approach for optimal combinations of wind, PV, and energy storage system in diesel-free isolated communities”, Applied Energy 170 (2016) 101.

H. Nabipour-Afrouzi, S. H. W. Yii, J. Ahmad & M. Tabassum, “Comprehensive review on appropriate sizing and optimization technique of hybrid PV-Wind system” IEEE PES Asia-Pacific Power and Energy Engineering Conference(APPEEC) (2018).

L. Slimani & T. Bouktir “Application of differential evolution algorithm to optimal power flow with high wind energy penetration”, Mediamira Science Publisher, 53 (2012) 59.

M. S. Ismail, M. Moghavveni & T. M. I Mahila. “Design of an optimized photovoltaic and microturbine hybrid power system for a remote small community: Case study of Palestine”, Energy Conversion and Management 75 (2013) 271.

M.S.Ismail, M.Moghavveni, T.M.IMahila“Geneticalgorithmbasedoptimization on modeling and design of hybrid renewable energy systems”, Energy Conversion and Management 85 (2014) 120.

S. Sanajaoba & E. Fernandez “Maiden application of cuckoo search algorithm for optimal sizing of a remote hybrid renewable energy System”, Renewable Energy, 96 (2016) 1.

H. Hardiansyah “Modified differential evolution algorithm for economic load dispatch problem with valve-point effects”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 3 (2014) 2275.

Deepti Gupta and Rupali Parmar, “Optimization of economic load dispatch thermal power plant using differential evolution technique”, International Journal of Engineering Trends and Technology (IJETT) 22 (2015) 2231.

C. Kumar & T. Alwarsamy“ Solution of economic dispatch problem using differential evolution algorithm”, International Journal of Soft Computing and Engineering 1 (2012) 236.

N. C. Cuong “Differential evolution algorithm for optimal power flow and economic load dispatch with valve point effects”, The International Journal Of Engineering and Science 3 (2014) 15.

V. Kachitvichyanukul, “Comparison of three evolutionary algorithms: GA, PSO, and DE”, Industrial Engineering & Management Systems 11 (2012) 215.

G. R. Venkatakrishnan, J. Mahadevan & R. Rengaraj, “Differential evolution with parameter adaptation strategy to economic dispatch incorporating wind”, Intelligent and Efficient Electrical Systems (2018) 153.

Venkatakrishnan, G. R, Rengaraj, R, “Differential evolution with parameter adaptation strategy for an optimal dispatch of residential distributed energy sources “, Journal of Computational and Theoretical Nanoscience, 14 (2017) 5997.

Vivekananda Parvatiya Krishi Anusandhan Sansthan, Indian Council of Agricultural Research (ICAR) Laboratory, Almora, Uttarakhand, India (2002).

Published

2021-08-29

How to Cite

Venkatakrishnan, G. R., Rengaraj, R., Sathish, K. K., Dinesh, R. K., & Nishanth, T. . (2021). Implementation of Modified Differential Evolution Algorithm for Hybrid Renewable Energy System. Journal of the Nigerian Society of Physical Sciences, 3(3), 209–215. https://doi.org/10.46481/jnsps.2021.240

Issue

Section

Original Research