Abstract
AbstractThis paper presents an improved load flow technique for a modern distribution system. The proposed load flow technique is derived from the concept of the conventional backward/forward sweep technique. The proposed technique uses linear equations based on Kirchhoff’s laws without involving matrix multiplication. The method can accommodate changes in network structure reconfiguration by involving the parent–children relationship between nodes to avoid complex renumbering of branches and nodes. The IEEE 15 bus, IEEE 33 bus and IEEE 69 bus systems were used for testing the efficacy of the proposed technique. The meshed IEEE 15 bus system was used to demonstrate the efficacy of the proposed technique under network reconfiguration scenarios. The proposed method was compared with other load flow approaches, including CIM, BFS and DLF. The results revealed that the proposed method could provide similar power flow solutions with the added advantage that it can work well under network reconfiguration without performing node renumbering, not covered by others. The proposed technique was then applied in Tanzania electric secondary distribution network and performed well.
Publisher
Springer Science and Business Media LLC
Reference37 articles.
1. Ouali S, Cherkaoui A (2020) An improved backward/forward sweep power flow method based on a new network information organization for radial distribution systems. J Electr Comput Eng 2020:5643410
2. Kawambwa S, Hamisi N, Mafole P, Kundaeli H (2021) A cloud model based symbiotic organism search algorithm for DG allocation in radial distribution network. Evolut Intell 1–18
3. Manikanta G, Mani A, Singh H, Chaturvedi D (2019) Simultaneous placement and sizing of DG and capacitor to minimize the power losses in radial distribution network. In: Ray K, Sharma T, Rawat S, Saini R, Bandyopadhyay A (eds) Soft computing: theories and applications. Springer, Singapore, pp 605–618
4. Sujatha M, Roja V, Prasad TN (2019) Multiple dg placement and sizing in radial distribution system using genetic algorithm and particle swarm optimization. In: Computational intelligence and big data analytics. Springer, pp 21–36
5. Rizk-Allah RM, El-Sehiemy RA, Wang G-G (2018) A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution. Appl Soft Comput 63:206–222
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