Improved Randomized Flow Model for 330kV Electric Power Transmission Network

Autor: Longson S. Yenigha, Christopher O. Ahiakwo, Dikio C. Idoniboyeobu, Sepribo I. Braide
Jazyk: angličtina
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.7258926
Popis: Improved randomized flow model for 330kV electric power transmission network in Nigeria is a study based on the Benin and Oshogbo regions of Nigeria 330kV network using randomize model and mathematical reliability assessment. The system Betweenness centrality values,probability of failure and reliability, performance characteristicwere evaluated. with the data collected and networks information a randomized algorithm was develop, coded and implemented in MATLAB R2016a and mathematical reliability analysis to determine the critical buses as well as the reliability of the network and components, load flow analyses in ETAP 12.6 employed to validate the results. For Benin region network performance, the blackout in the network is 4.3%, overload is 43%, Computed Network Demand Load (297), Network Received Load (402) And Network Lost Load (110), The Network Service Efficiency is 1.38 and Average Betweenness Centrality (0.813). Oshogbo region network performance, the blackout in the network is 6%, overload is 60%, Computed Network Demand Load (249.3), Network Received Load (266.7) And Network Lost Load (176), The Network Service Efficiency is 1.069 and Average Betweenness Centrality (0.686). The investigation reveal that both region have unreliable, weak, over stretched network and elements. The study recommended massive investment in upgrading of generation and transmission capacity of the networks as well as schuduled maintenance of the lines.
Databáze: OpenAIRE