Optimal WTGUs Placement for Performance Improvement in Electrical Distribution System Using Improved TLBO

Authors

  • Thiruveedula Ramana DXC Technology India Private Limited, Bangalore – 560100, India
  • G. Nageswara Reddy Department of Electrical and Electronics Engineering, YSR Engineering College of Yogi Vemana University, Proddatur, Andhra Pradesh, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.37514

Keywords:

Improved teaching learning based optimization, optimal placement and sizing of DG, voltage stability improvement, voltage profile, voltage deviation

Abstract

The optimal location and size for Distributed Generation (DG) to get maximum advantages and improve the performance of electrical distribution systems (EDS) is a difficult challenge to solve. With EDS performance indices, this research offers a constrained generalized multi-objective performance index (MOPI) objective function. Improved Teaching Learning Based Optimization (ITLBO) is used to solve the proposed objective function by removing the convergence issue of basic Teaching Learning Based Optimization (TLBO). By optimizing the MOPI, the Wind Turbine Generation Unit (WTGU) is examined for single and multiple DG placement and sizing in EDS performance improvement. The ideal approach reduces the burden of EDS consumer loss allocation by minimizing power losses, improving the consumer voltage profile and voltage stability, increasing the line loadability margin (LLM), and increasing the line loadability margin (LLM). The performance test was carried out on a 33-node EDS and used MATLAB software to demonstrate the efficacy of optimal solution.

Downloads

Download data is not yet available.

Author Biographies

Thiruveedula Ramana, DXC Technology India Private Limited, Bangalore – 560100, India

Thiruveedula Ramana received the bachelor’s degree in electrical and electronics engineering from JNT University, Hyderabad in 2020, the master’s degree in power and industrial drives from JNT University, Kakinada in 2010, and the philosophy of doctorate degree in Electrical Engineering from JNT University, Anantapur in 2019, respectively. He is currently working as an Associate Manager at the Global Delivery India Centre, DXC Technology India Private Limited, Bangalore, India. His research areas include distribution system automation, renewable energy sources, FACTs, power system analysis. He has been serving as a reviewer for many highly-respected journals.

G. Nageswara Reddy, Department of Electrical and Electronics Engineering, YSR Engineering College of Yogi Vemana University, Proddatur, Andhra Pradesh, India

G. Nageswara Reddy, is Assistant professor in the department of Electrical and Electronics Engineering, YSR Engineering college of Yogi Vemana University, Proddatur, A.P., India. He received B.Tech, M.Tech, and Ph.D in Electrical and Electronics Engineering from, Jawaharlal Nehru Technological University Hyderabad, Hyderabad. His interests include, Power System Analysis including FACTS devices, Optimization Techniques and Power System Operation and Control.

References

T. Ackermann, G. Andersson, and L. Soder, “Distributed generation: a definition”, Electric power systems research, Vol. 57, No. 3, Apr. 2001, pp. 195–204.

P.S. Georgilakis and N.D. Hatziargyriou, “Optimal distributed generation placement in power distribution networks: Models, methods, and future research”, IEEE Transactions on Power Systems, Vol. 28, No. 3, Aug. 2013, pp. 3420–3428.

A. Keane and M. O’Malley, “Optimal allocation of embedded generation on distribution networks”, IEEE Transactions on Power Systems Vol. 20, No. 3, Aug. 2005, 1640–1646.

N. Acharya, P. Mahat and N. Mithulananthan, “An analytical approach for dg allocation in primary distribution network”, International Journal of Electrical Power and Energy Systems Vol. 28, No. 10, Dec. 2006, pp. 669–678.

C.L. Borges and D.M. Falcao, “Optimal distributed generation allocation for reliability, losses, and voltage improvement”, International Journal of Electrical Power and Energy Systems, Vol. 28, No. 6, Jul. 2000, pp. 413–420.

G.P. Harrison, A. Piccolo, P. Siano and A.R. Wallace, “Hybrid GA and OPF evaluation of network capacity for distributed generation connections”, Electric Power Systems Research, Vol. 78, No. 3, Mar. 2008, pp. 392–398.

R. Jabr and B. Pal, “Ordinal optimisation approach for locating and sizing of distributed generation”, IET Generation, Transmission and Distribution, Vol. 3, No. 8, Aug. 2009, pp. 713–723.

T. Shukla, S. Singh, V. Srinivasarao and K. Naik, “Optimal sizing of distributed generation placed on radial distribution systems”, Electric Power Components and Systems, Vol. 38, No. 3, Jan. 2010, pp. 260–274

N. Khalesi, N. Rezaei and M.-R. Haghifam, “DG allocation with application of Dynamic Programming for loss reduction and Reliability Improvement”, International Journal of Electrical Power and Energy Systems, Vol. 33, No. 2, Feb. 2011, pp. 288–295.

A. El-Zonkoly, “Optimal placement of multi-distributed generation units including different load models using particle swarm optimization”, Swarm and Evolutionary Computation, Vol. 1, No. 1, Aug. 2011, pp. 50–59.

F.S. Abu-Mouti and M. El-Hawary, “Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm”, IEEE transactions on power delivery, Vol. 26, No. 4, Oct. 2011, pp. 2090–2101.

M.H. Moradi and M. Abedini, “A combination of genetic algorithm and par- ticle swarm optimization for optimal dg location and sizing in distribution systems”, International Journal of Electrical Power & Energy Systems, Vol. 34, No. 1, Jan. 2012, pp. 66–74.

K. Nekooei, M.M. Farsangi, H. Nezamabadi-Pour and K.Y. Lee, “An improved multi-objective harmony search for optimal placement of dgs in distribution systems”, IEEE Transactions on smart grid, Vol. 4, No. 1, Feb. 2013, pp. 557–567.

M. Aman, G. Jasmon, A. Bakar and H. Mokhlis, “A new approach for opti- mum dg placement and sizing based on voltage stability maximization and minimization of power losses”, Energy Conversion and Management, Vol. 70, Jun. 2013, pp. 202–210.

S. Kansal, V. Kumar and B. Tyagi, “Optimal placement of different type of dg sources in distribution networks”, International Journal of Electrical Power & Energy Systems Vol. 53, Dec. 2013, pp. 752–760.

R. Al Abri, E.F. El-Saadany and Y.M. Atwa, “Optimal placement and sizing method to improve the voltage stability margin in a distribution system using distributed generation”, IEEE transactions on power systems, Vol. 28, No. 1, Feb. 2013, pp. 326–334.

S. Sultana and P.K. Roy, “Multi-objective quasi-oppositional teaching learning-based optimization for optimal location of distributed generator in radial distribution systems”, International Journal of Electrical Power & Energy Systems, Vol. 63, Dec. 2014, pp. 534–545.

A.M. Imran and M. Kowsalya, “Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization”, Swarm and Evolutionary computation, Vol. 15, Apr. 2015, pp. 58–65.

C. Yammani, S. Maheswarapu and M.S. Kumari, “Optimal placement and sizing of ders with load variations using bat algorithm”, Arabian Journal for Science and Engineering, Vol. 39, No. 6, Jun. 2014, 4891–4899.

M. Kefayat, A.L. Ara and S.N. Niaki, “A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources”, Energy Conversion and Management, Vol. 92, Mar. 2015, pp. 149–161.

N. Mohandas, R. Balamurugan and L. Lakshminarasimman, “Optimal location and sizing of real power dg units to improve the voltage stability in the distribution system using abc algorithm united with chaos”, International Journal of Electrical Power & Energy Systems, Vol. 66, Mar. 2015, pp. 41–52.

E. Ali, S.A. Elazim and A. Abdelaziz, “Ant lion optimization algorithm for optimal location and sizing of renewable distributed generations”, Renewable Energy, Vol. 101, Feb. 2017, pp. 1311–1324.

I.A. Quadri, S. Bhowmick and D. Joshi, “A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems”, Applied Energy, Vol. 211, Feb. 2018, 1245–1260.

T. Ramana, V. Ganesh and S. Sivanagaraju, “Simple and Fast Load Flow Solution for Electrical Power Distribution Systems”, International Journal on Electrical Engineering and Informatics, Vol. 5, No. 3, September 2013, pp. 245–255.

N.S. Rau, and Y.-h. Wan, “Optimum location of resources in distributed planning”, IEEE Transactions on Power Systems, Vol. 9, No. 4, Nov. 1994, pp. 2014–2020.

T. Ramana, V. Ganesh, S. Sivanagaraju and K Nagaraju, “Customer Loss Allocation Reduction using Optimal Conductor Selection in Electrical Distribution System”, Emerging Trends in Electrical, Communications, and Information Technologies, Proceedings of ICECIT-2018, Electrical and Electronics Engineering, Lecture Notes in Electrical Engineering Series by Springer, pp. 369–379, 2019.

M. Chakravorty and D. Das, “Voltage stability analysis of radial distribution networks,” International Journal of Electrical Power and Energy Systems, Vol. 23, No. 2, Feb, 2001, pp. 129–135.

J. Yu, W. Li and W. Yan, “Letter to the Editor: A New Line Loadability Index for Radial Distribution Systems”, Electric Power Components and Systems, Vol. 36, No. 11, Oct. 2008, pp. 1245–1252.

R.V. Rao, V.J. Savsani and D.P. Vakharia, “Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems”, Computer-Aided Design, Vol. 43, No. 3, Mar. 2011, pp. 303–315.

F. Cus and J. Balic, “Optimization of cutting process by GA approach”, Robotics and Computer Integrated Manufacturing, Vol. 19, No. 1/2, Feb. 2003, pp. 113–121.

J. Kennedy and R.C. Eberhart, “Particle swarm optimization”, In: Proceedings of ICNN’95 – International Conference on Neural Networks, 27 Nov.–1 Dec. 1995, pp. 1942–1948.

R.V. Rao and V. Patel, “An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems”, Scientia Iranica, Vol. 20, No. 3, Jun. 2013, pp. 710–720.

K.C. Divya and P.S.N. Rao, “Models for wind turbine generating systems and their application in load flow studies”, Electrical Power System Research, Vol. 76, No. 9/10, Jun. 2006, pp. 844–856.

https://www.worldweatheronline.com/lang/en-in/anantapur-weather-averages/andhra-pradesh/in.aspx

Wei Z, Hongxing Y, Lin L, Zhaohong F. “Optimum design of hybrid solar–wind–diesel power generation system using genetic algorithm”, HKIE Transactions, Vol. 14, No. 4, 2007, pp. 82–89.

V. Kumar, R. Kumar, I. Gupta and H.O. Gupta, “DG Integrated approach for service restoration under cold load pickup”, IEEE Transactions Power Delivery, Vol. 25, No. 1, Jan. 2010, pp. 398–406.

N.C. Sahoo and K. Prasad, “A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems”, Energy Conversion and Management, Vol. 47, No. 18/19, Nov. 2006, pp. 3288–3306.

Downloads

Published

2022-07-01

How to Cite

Ramana, T. ., & Reddy, G. N. . (2022). Optimal WTGUs Placement for Performance Improvement in Electrical Distribution System Using Improved TLBO. Distributed Generation &Amp; Alternative Energy Journal, 37(05), 1637–1664. https://doi.org/10.13052/dgaej2156-3306.37514

Issue

Section

Articles