FOREX Press I. J. of Electrical & Electronics Research
Support Open Access
  • Home/
  • IJEER-12et-evs05

Research Article |

Cost - benefit analysis of DISCOs by Optimal allocation of DGs and DSTATCOM using GTO algorithm

Author(s): Ram Prasad Kannemadugu*, V. Adhimoorthy and A. Lakshmi Devi

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Special Issue on ETEVS

Publisher : FOREX Publication

Published : 30 September 2024

e-ISSN : 2347-470X

Page(s) : 25-31

DOI: https://doi.org/10.37391/ijeer.12et-evs05

Abstract

Electric power Distribution Companies (DISCOs) provide low-cost, reliable, and consistent voltage power from distribution substations. DISCOs have radial transmission lines with all buses as load buses and no generating buses. The voltage at each bus decreases, resulting in larger network losses and voltage variations, which lowers DISCO and customer costs and benefits. This study strategically uses Distributed Generation (DGs) and DSTATCOM to optimize cost-benefit analysis and voltage stability for Distribution Companies (DISCOs). We planned DG unit and DSTATCOM deployment using a new and comprehensive Group Teaching Optimization (GTO) method in this study. The algorithm considers Distribution Company and DG Owner profitability simultaneously. Group Teaching Optimization (GTO) is used on a 33-node test system. MATLAB simulations show the GTO's usefulness in Distribution System Operators.

Keywords: Distribution Company, DGs and DSTATCOM, Power loss minimization, Profit maximization, Group Teaching Optimization (GTO) algorithm.




Ram Prasad Kannemadugu*, Research Scholar, Department of Electrical Engineering, Annamalai University, Tamil Nadu, India; Email: ramprasad2102@gmail.com

V. Adhimoorthy, Associate Professor, Department of Electrical and Electronics Engineering, Government college of Engineering, Bargur, Tamil Nadu, India; Email: adhisuganthi@gmail.com

A. Lakshmi Devi, Professor, Department of Electrical and Electronics Engineering, S V University College of Engineering, Sri Venkateswara University, Tirupati, India; Email: energylak123@yahoo.com

    [1] Hu, Z., & Li, F. (2012). Cost-benefit analyses of active distribution network management, part I: Annual benefit analysis. IEEE Transactions on Smart Grid, 3(3), 1067-1074.
    [2] Mateo, C., Reneses, J., Rodriguez‐Calvo, A., Frías, P., & Sánchez, Á. (2016). Cost–benefit analysis of battery storage in medium‐voltage distribution networks. IET Generation, Transmission & Distribution, 10(3), 815-821.
    [3] Ji, Y., Hou, X., Kou, L., Wu, M., Zhang, Y., Xiong, X., ... & Xiang, Y. (2019). Cost–Benefit Analysis of Energy Storage in Distribution Networks. Energies, 12(17), 3363.
    [4] Taher, S. A., & Afsari, S. A. (2014). Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm. International Journal of Electrical Power & Energy Systems, 60, 34-44.
    [5] Surya, M. R., Neela, R., & Radman, G. (2017). Multi-objective optimization of DG sizing and placement using BBO technique. International Journal of Engineering Research and Technology, 6, 623-629.
    [6] Pal, A., Chakraborty, A. K., & Bhowmik, A. R. (2020). Optimal placement and sizing of DG considering power and energy loss minimization in distribution system. International Journal on Electrical Engineering and Informatics, 12(3), 624-653.
    [7] Ouali, S., & Cherkaoui, A. (2020). Optimal allocation of combined renewable distributed generation and capacitor units for interconnection cost reduction. Journal of Electrical and Computer Engineering, 2020, 1-11.
    [8] Weqar, B., Khan, M. T., & Siddiqui, A. S. (2018). Optimal placement of distributed generation and D-STATCOM in radial distribution network. Smart science, 6(2), 125-133.
    [9] Kansal, S., Tyagi, B., & Kumar, V. (2017). Cost–benefit analysis for optimal distributed generation placement in distribution systems. International Journal of Ambient Energy, 38(1), 45-54.
    [10] Arulraj, R., & Kumarappan, N. (2019). Optimal economic-driven planning of multiple DG and capacitor in distribution network considering different compensation coefficients in feeder’s failure rate evaluation. Engineering Science and Technology, an International Journal, 22(1), 67-77.
    [11] Prasad, C. H., Subbaramaiah, K., & Sujatha, P. (2019). Cost–benefit analysis for optimal DG placement in distribution systems by using elephant herding optimization algorithm. Renewables: Wind, Water, and Solar, 6(1), 2.
    [12] Saboori, H., & Hemmati, R. (2017). Maximizing DISCO profit in active distribution networks by optimal planning of energy storage systems and distributed generators. Renewable and Sustainable Energy Reviews, 71, 365-372.
    [13] Mahfoud, R. J., Alkayem, N. F., Fernandez-Rodriguez, E., Zheng, Y., Sun, Y., Zhang, S., & Zhang, Y. (2024). Evolutionary Approach for DISCO Profit Maximization by Optimal Planning of Distributed Generators and Energy Storage Systems in Active Distribution Networks. Mathematics, 12(2), 300.
    [14] Zhang, L., Tang, W., Liu, Y., & Lv, T. (2015). Multiobjective optimization and decision-making for DG planning considering benefits between distribution company and DGs owner. International Journal of Electrical Power & Energy Systems, 73, 465-474.
    [15] Ch, S. K. B., & Balamurugan, G. (2022). Network Reconfiguration with Optimal allocation of Capacitors and DG units for Maximizing DISCOs Profit in a Restructured Power Market. Przeglad Elektrotechniczny, 98(12).
    [16] Venkata Anjani Kumar Gaddam, & Manubolu Damodar Reddy. (2024). TLBO trained an ANN-based DG integrated Shunt Active Power Filter to Improve Power Quality. Journal of Advanced Research in Applied Sciences and Engineering Technology, 43(2), 93–110. https://doi.org/10.37934/araset.43.2.93110.
    [17] Dorahaki, S. (2016). Optimal DG placement with the aim of profits maximization. Indonesian Journal of Electrical Engineering and Computer Science, 1(2), 249-254.
    [18] Avar, A., & Sheikh-El-Eslami, M. K. (2021). Optimal DG placement in power markets from DG Owners’ perspective considering the impact of transmission costs. Electric Power Systems Research, 196, 107218.
    [19] Abapour, S., Nojavan, S., & Abapour, M. (2018). Multi-objective short-term scheduling of active distribution networks for benefit maximization of DisCos and DG owners considering demand response programs and energy storage system. Journal of Modern Power Systems and Clean Energy, 6(1), 95-106.
    [20] G, V.A.K., M, D.R. (2023). Optimized PI tuning of DG-integrated shunt active power filter using biogeography-based optimization algorithm. Journal Européen des Systèmes Automatisés, Vol. 56, No. 6, pp. 907-916. https://doi.org/10.18280/jesa.560602.
    [21] Salimon, S. A., Lawal, Q. O., Adebiyi, O. W., & Okelola, M. O. (2022). Cost-Benefit of Optimal Allocation of DSTATCOM in Distribution Networks Using Ant-Lion Optimization Algorithm. Periodica Polytechnica Electrical Engineering and Computer Science, 66(4), 350-360.
    [22] Zhu, S., Wu, Q., Jiang, Y., & Xing, W. (2021). A novel multi-objective group teaching optimization algorithm and its application to engineering design. Computers & Industrial Engineering, 155, 107198,
    [23] Zhang, Y., & Jin, Z. (2020). Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems. Expert Systems with Applications, 148, 113246.

Ram Prasad Kannemadugu, V. Adhimoorthy and A. Lakshmi Devi (2024), Cost - benefit analysis of DISCOs by Optimal allocation of DGs and DSTATCOM using GTO algorithm. IJEER 12(ETEVS), 25-31. DOI: 10.37391/ijeer.12et-evs05.