Abstract
Distributed generation units (DGs) are rapidly becoming widespread in distribution systems due to their advantages such as power loss reduction, voltage profile improvement, and economic returns. Many researchers seek new ways to maximize their these advantages. However, their impact on the fault current is a problem for the field of power system protection. The changes in the short-circuit currents due to DGs cause the miscoordination of the directional overcurrent relays (DOCRs). In this paper, the impact of distribution generation penetration on DOCR coordination is analyzed and investigated. Besides this negative impact of DGs, their contributions to reducing power loss and improving the voltage profile are also analyzed for different DG penetration levels. The gazelle optimization algorithm is utilized to solve the DOCR coordination problem studied in this paper. The method is performed on the distribution section of the IEEE 14-bus system. It is seen that a significant number of miscoordinations occur when even the DG penetration is increased by about 10%. With the increase in DG penetration, the number of miscoordinations does not increase proportionally, but there is a proportional increase in active and reactive power loss reduction and voltage profile improvement.
Reference15 articles.
1. Abdelhamid, M., Houssein, E. H., Mahdy, M. A., Selim, A., & Kamel, S. (2022). An improved seagull optimization algorithm for optimal coordination of distance and directional over-current relays. Expert Systems with Applications, 200, 116931. doi:10.1016/j.eswa.2022.116931
2. Abualigah, L., Diabat, A., & Zitar, R. A. (2022). Orthogonal learning Rosenbrock’s direct rotation with the gazelle optimization algorithm for global optimization. Mathematics, 10(23), 4509. doi:10.3390/math10234509
3. Agushaka, J. O., Ezugwu, A. E., & Abualigah, L. (2023). Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer. Neural Computing and Applications, 35(5), 4099-4131. doi:10.1007/s00521-022-07854-6
4. Ayvaz, A. (2022). Optimal Coordination of Directional Overcurrent Relays Using Chameleon Swarm Algorithm. In: 2nd International Black Sea Modern Scientific Research Congress, Rize, (pp. 63-71).
5. Ayvaz, A., & Istemihan Genc, V. M. (2020). Information‐gap decision theory based transient stability constrained optimal power flow considering the uncertainties of wind energy resources. IET Renewable Power Generation, 14(11), 1946-1955. doi:10.1049/iet-rpg.2019.1367
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献