Optimisation of Economic and Environmental Dispatch of Power System with and without Renewable Energy Sources

Authors

  • Ankur Singh Rana National Institute of Technology – Tiruchirappalli, Tamil Nadu, India
  • B. Bhavani Bhagyasree National Institute of Technology – Tiruchirappalli, Tamil Nadu, India
  • T. M. Harini National Institute of Technology – Tiruchirappalli, Tamil Nadu, India
  • Sreenu Sreekumar National Institute Of Technology – Silchar, Assam, India
  • More Raju Maulana Azad National Institute of Technology – Bhopal, Madhya Pradesh, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.3826

Keywords:

Optimisation, renewable energy sources, AHP, PSO, economic & environment

Abstract

Combined Economic and Environmental load dispatch is critical to the functioning of the power grid, and many models have been developed to address these issues using various techniques. Specially, soft computing methods have recently risen in popularity and have been used in a variety of popular and practical applications. The aim of this paper is to determine the benefits of applying Particle Swarm Optimization (PSO) to the Combined Economic and Environmental Dispatch (CEED) problem in particular. Here, an attempt has been made to find the minimum cost of generation of a system of thermal and solar power plants. The problem is multi-objective and is converted into a single objective function using weighted sum method. Analysis is also done with and without unit commitment using Priority List method and the results are compared. The analyses has been done in MATLAB tool using six thermal power generators and thirteen solar power plants.

Downloads

Download data is not yet available.

Author Biographies

Ankur Singh Rana, National Institute of Technology – Tiruchirappalli, Tamil Nadu, India

Ankur Singh Rana received B.Tech degree in Electrical and Electronics Engineering from GGSIP University, New Delhi in 2010, and the M. Tech in Electrical Power System and Management and PhD from Jamia Millia Islamia (A central University) in 2013 and 2018 respectively. He has served as Post-Doctoral fellow in the Department of Electrical and Electronics Engineering (EEE), National Institute of Technology Tiruchirappalli (NITT). Currently, he is working as an Assistant Professor in the Department of EEE, NITT, Tamil Nadu since March 2020. His research interests include Renewable Energy Sources, FACTS devices, Wide Area Measurement System, SCADA, Power system protection, Power system reliability, PMU and Smart Grids Application of Power system in Microgrid.

B. Bhavani Bhagyasree, National Institute of Technology – Tiruchirappalli, Tamil Nadu, India

B. Bhavani Bhagyasree completed her B.Tech in Electrical and Electronics Engineering at National Institute of Technology, Tiruchirappalli in the year 2021. She is currently working as Firmware Engineer in Versa Drives Private Ltd. She has been a part of the Submarine Design and Engineering Centre of L&T Defence, involving Power System Architecture Design for a mini submarine. Her research interests include Optimisation techniques in Power System Economics and Motor Control.

T. M. Harini, National Institute of Technology – Tiruchirappalli, Tamil Nadu, India

T. M. Harini completed her B.Tech in Electrical and Electronics Engineering at National Institute of Technology, Tiruchirappalli in the year 2021. Her research interests include Transmission and Distribution, Power System Economics.

Sreenu Sreekumar, National Institute Of Technology – Silchar, Assam, India

Sreenu Sreekumar received the B.Tech. degree in electrical and electronics engineering (EEE) from Government Engineering College, Idukki, Kerala (Mahatma Gandhi University, Kerala, India), in 2012, and the M.Tech (Power Systems) and Ph.D. (Electrical Engineering) degree from Malaviya National Institute of Technology Jaipur, Jaipur, India, in 2015 and 2020 respectively. He is the recipient of the prestigious POSOCO Power System Award 2016 (National level) for the best M tech level power system research. He was a Post-Doctoral Research Fellow at NIT Trichy. Currently, he is working as an Assistant Professor in the electrical engineering department at NIT Silchar, Assam. He has a total of 32 international publications (14 Journal Papers, 17 conference papers, and one book). His research interest includes power system flexibility enhancement, load forecasting, renewable generation forecasting, mathematical modelling of motors for electric vehicles, and Net Zero targets.

More Raju, Maulana Azad National Institute of Technology – Bhopal, Madhya Pradesh, India

More Raju obtained his BTech in Electrical and Electronics Engineering with distinction from JNTU college of Engineering, Karimnagar in 2012. He was awarded with PhD in Electrical Engineering from National Institute of Technology Silchar in December 2018. He was the post doctoral fellow in National Institute of Technology Trichy from November 2019 to March 2020. Currently he is working as Assistant Professor in the Department of Electrical Engineering from March 2020. His areas of interests include Power system frequency control; micro grid; optimization techniques, controller design etc.

References

Y. H. Song, ed. Modern optimisation techniques in power systems. Vol. 20. Springer Science & Business Media, 2013.

F. Iqbal, A. S. Siddiqui, T. Deb, M. T. Khan, and A. S. Rana, “Power systems reliability-a bibliographical survey,” Smart Science, vol. 6, no. 1, pp. 80–93, 2018.

A. S. Rana, F. Iqbal, A. S. Siddiqui, and M. S. Thomas, “Hybrid methodology to analyse reliability and techno-economic evaluation of microgrid configurations,” IET Generation, Transmission & Distribution, vol. 13, no. 21, pp. 4778–4787, 2019.

Z. Jizhong, “Classic Economic Dispatch,” in Optimization of Power System Operation , IEEE, 2015, pp. 91–144, doi: 10.1002/9781118887004.ch4.

A. J. Wood and B. F. Wollenberg, Power Generation, Operation, and Control, John Wiley and Sons., New York (1984).

P. Aravindhababu and K.R. Nayar, Economic dispatch based on optimal lambda using radial basis function network, Elect. Power Energy System. Vol. 24, pp. 551–556, 2002.

IEEE Committee Report, Present practices in the economic operation of power systems, IEEE Trans. Power Appa. Syst., PAS-90 (1971) 1768–1775.

B. H. Chowdhury and S. Rahman, A review of recent advances in economic dispatch, IEEE Trans. Power System, Vol. 5, no. 4, pp. 1248–1259, 1990.

D.C. Walters and G.B. Sheble, Genetic algorithm solution of economic dispatch with valve point loading, IEEE Trans. Power System, vol. 8, pp. 1325–1332, 1993.

N. Sinha, R. Chakrabarti and P.K. Chattopadhyay, Evolutionary programming techniques for economic load dispatch, IEEE Transactions on evolutionary computation, vol. 7, no. 1, pp. 83–94, 2003.

A.J. Wood and B.F. Wollenberg, Power Generation, Operation, and Control (2nd ed.), Wiley, New York (1996).

V. S. Borra, and K. Debnath. “Comparison between the dynamic programming and Particle Swarm Optimization for solving unit commitment problems.” 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT). IEEE, 2019.

P. Attaviriyanupap, H. Kita, E. Tanaka and J. Hasegawa, A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function, IEEE Trans. Power Systems, vol. 17 no. 2, pp. 411–416, 2002.

Singhal, Prateek Kumar, and R. Naresh Sharma. “Dynamic programming approach for solving power generating unit commitment problem.” 2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011). IEEE, 2011.

D.N. Jeyakumar, T. Jayabarathi and T. Raghunathan, Particle swarm optimization for various types of economic dispatch problems, Elect. Power Energy Systems, vol. 8, pp. 36–42, 2006.

T. P. Van Hong, D. V. Ngoc and K. Dang Tuan, “Environmental Economic Dispatch Using Stochastic Fractal Search Algorithm,” 2021 International Symposium on Electrical and Electronics Engineering (ISEE), Ho Chi Minh, Vietnam, 2021, pp. 214–219.

H. Hu, L. Wen and K. Zheng, “Low Carbon Economic Dispatch of Multi-energy Combined System Considering Carbon Trading,” 2021 11th International Conference on Power and Energy Systems (ICPES), Shanghai, China, 2021, pp. 838–843.

N. A. Khan, et al. “Combined emission economic dispatch of power system including solar photo voltaic generation.” Energy Conversion and management, vol. 92, pp. 82–91, 2015.

Qu B, Li G, Yan L, Liang J, Yue C, Yu K, Crisalle OD. “A grid-guided particle swarm optimizer for multimodal multi-objective problems.” Applied Soft Computing. 2022 Jan 1:108381.

Zheng Y, Wang Y, Liu J. “Research on structure optimization and motion characteristics of wearable medical robotics based on Improved Particle Swarm Optimization Algorithm.” Future Generation Computer Systems. vol. 129, pp. 187–98, 2022.

Zhou F, Yu J, Zhao P, Yue C, Liang S, Li H. “CVT measurement error correction by double regression-based particle swarm optimization compensation algorithm.” Energy Reports. vol. 7, pp. 191-200, 2021.

Zhang X, Wang Z, Lu Z. “Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm.” Applied Energy. 2022 Jan 15; 306:118018.

Alayande, A. S., J. T. Olowolaju, and I. K. Okakwu. “Solving optimal generation dispatch problem in power networks through pso and lambda iteration techniques.” Nigerian Journal of Technology, vol. 38, no. 1, pp. 165–176, 2019.

Rongshan, Bi, and Yang Xia. “Using Particle Swarm Optimization for Mixed-Integer Nonlinear Programming in Process Synthesis.” Communicated paper (2003). Doi: http://www.optimization-online.org/DB_FILE/2004/01/807.pdf

PSO concept and algorithm: https://yarpiz.com/440/ytea101-particle-swarm-optimization-pso-in-matlab-video-tutorial.

J. Kennedy, and R. C. Eberhart. “A discrete binary version of the particle swarm algorithm.” 1997 IEEE International conference on systems, man, and cybernetics. Computational cybernetics and simulation. vol. 5. IEEE, 1997.

M. Usman, M.T. Khan, A. S. Rana, and S. Ali, “Techno-economic analysis of hybrid solar-diesel-grid connected power generation system,” Journal of Electrical Systems and Information Technology, vol. 5, no. 3, pp. 653–662, 2018.

S. Ahsan, K. Javed, A. S. Rana, and M. Zeeshan, “Design and cost analysis of 1 kW photovoltaic system based on actual performance in Indian scenario,” Perspectives in Science, vol. 8, pp. 642–644, 2016.

M. Rawa, et al. “Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm.” Ain Shams Engineering Journal, 2021.

V. K. Dutta, J. K. Dhami, L. Singh, “Weighting Sum Method to Solve Combined Economic Emission Dispatch Problem,” International Journal Of Engineering Research & Technology (conference proceeding), vol. 4, no. 15, pp. 1–4, 2016.

Downloads

Published

2023-01-03

How to Cite

Rana, A. S. ., Bhagyasree, B. B. ., Harini, T. M. ., Sreekumar, S. ., & Raju, M. . (2023). Optimisation of Economic and Environmental Dispatch of Power System with and without Renewable Energy Sources. Distributed Generation &Amp; Alternative Energy Journal, 38(02), 491–518. https://doi.org/10.13052/dgaej2156-3306.3826

Issue

2023: Vol 38 Iss 2

Section

Articles