The Study of Load form Effect in Radial Delivery Networks on Loss Allocation

S. Sankar*, Anna Gina Perri**
* Department of Electrical and Electronics Engineering, AMET University, Chennai, Tamil Nadu, India.
** Department of Electronics and Instrumentation Engineering, Erode Sengunthar Engineering College, Erode, Tamil Nadu, India.
Periodicity:October - December'2020
DOI : https://doi.org/10.26634/jee.14.2.17769

Abstract

This paper discusses the effects of the distribution of energy losses for different load forms in radial distribution networks. Three types of characteristic load are taken into consideration: steady energy, constant current, and steady imbalance load. On the basis of the current flowing through network branches, deficit distribution has been calculated. All fair allocation parameters are considered by the calculation algorithm. The graphs obtained define the topology of the network. Formulas are given in each branch of the network for calculation and loss distribution. It is shown that real power losses are hardly influenced by the type of load and must therefore be considered for loss allocation estimation.

Keywords

Assignment of Losses, Power Losses, Distribution Networks, Steady Energy, Algorithm.

How to Cite this Article?

Sankar, S., and Kumar, M. N. S. (2020). The Study of Load form Effect in Radial Delivery Networks on Loss Allocation. i-manager's Journal on Electrical Engineering, 14(2), 34-41. https://doi.org/10.26634/jee.14.2.17769

References

[1]. Almabsout, E. A., El-Sehiemy, R. A., An, O. N. U., & Bayat, O. (2020). A hybrid local Search-Genetic algorithm for simultaneous placement of DG units and shunt capacitors in radial distribution systems. IEEE Access, 8, 54465-54481. https://doi.org/10.1109/ACCESS.2020.2981406
[2]. Andrade, J., Ochoa, L. F., & Freitas, W. (2020). Regional-scale allocation of fast charging stations: Travel times and distribution system reinforcements. IET Generation, Transmission & Distribution, 14(19), 4225-4233.
[3]. Daryani, N., Zare, K., & Tohidi, S. (2019). Design for independent and self-adequate microgrids in distribution systems considering optimal allocation of DG units. IET Generation, Transmission & Distribution, 14(5), 728-734. https://doi.org/10.1049/iet-gtd.2019.0379
[4]. Elkadeem, M. R., Abd Elaziz, M., Ullah, Z., Wang, S., & Sharshir, S. W. (2019). Optimal planning of renewable energy-integrated distribution system considering uncertainties. IEEE Access, 7, 164887-164907. https://doi. org/10.1109/ACCESS.2019.2947308
[5]. Elsayed, A. M., Mishref, M. M., & Farrag, S. M. (2019). Optimal allocation and control of fixed and switched capacitor banks on distribution systems using grasshopper optimisation algorithm with power loss sensitivity and rough set theory. IET Generation, Transmission & Distribution, 13(17), 3863-3878. https://doi.org/10.1049/iet-gtd.2018.5 494
[6]. Gholami, M., Abbaspour, A., Fattaheian-Dehkordi, S., Lehtonen, M., Moeini-Aghtaie, M., & Fotuhi, M. (2020). Optimal allocation of PMUs in active distribution network considering reliability of state estimation results. IET Generation, Transmission & Distribution, 14(18), 3641-3651.
[7]. Moghaddam, M. J. H., Kalam, A., Shi, J., Nowdeh, S. A., Gandoman, F. H., & Ahmadi, A. (2020). A new model for reconfiguration and distributed generation allocation in distribution network considering power quality indices and network losses. IEEE Systems Journal, 14(3), 3530-3538. https://doi.org/10.1109/JSYST.2019.2963036
[8]. Muruganantham, B., Selvam, M. M., Gnanadass, R., & Padhy, N. P. (2017, December). Energy loss reduction and load balancing through network reconfiguration in practical LV distribution feeder using GAMS. In 2017 7th International Conference on Power Systems (ICPS) (pp. 509- 513). IEEE. https://doi.org/10.1109/ICPES.2017.8387346
[9]. Nunna, H. K., Sesetti, A., Rathore, A. K., & Doolla, S. (2020). Multiagent-based energy trading platform for energy storage systems in distribution systems with interconnected microgrids. IEEE Transactions on Industry Applications, 56(3), 3207-3217. https://doi.org/10.1109/ TIA.2020.2979782
[10]. Sadeghian, O., Oshnoei, A., Khezri, R., & Hagh, M. T. (2019). Data clustering-based approach for optimal capacitor allocation in distribution systems including wind farms. IET Generation, Transmission & Distribution, 13(15), 3397-3408. https://doi.org/10.1049/iet-gtd.2018.6326
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.