Title | Improving the Reliability and Security of Active Distribution Networks Using SCADA Systems |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Eneh, Joy Nnenna, Onyekachi Orah, Harris, Emeka, Aka Benneth |
Conference Name | 2019 IEEE PES/IAS PowerAfrica |
Keywords | 14-node SCADA-based active distribution network model, active distribution networks, active electricity distribution network, active infrastructure, Active Network, arresters, circuit breakers, compositionality, distributed power generation, distribution network, emerging network infrastructure, fault condition isolation, fault conditions, Fuzzy logic, fuzzy logic toolbox, Human Behavior, Integrated circuit modeling, Mathematical model, MATLAB, passive infrastructure, power distribution economics, power distribution faults, power distribution reliability, power engineering computing, power fluctuations, power system, power system reliability, pubcrawl, reliability, reliability analysis, Resiliency, SCADA, SCADA systems, SCADA Systems Security, Simulink software, Smart grid, smart power grids, traditional electricity distribution system, Voltage control |
Abstract | The traditional electricity distribution system is rapidly shifting from the passive infrastructure to a more active infrastructure, giving rise to a smart grid. In this project an active electricity distribution network and its components have been studied. A 14-node SCADA-based active distribution network model has been proposed for managing this emerging network infrastructure to ensure reliability and protection of the network The proposed model was developed using matlab /simulink software and the fuzzy logic toolbox. Surge arresters and circuit breakers were modelled and deployed in the network at different locations for protection and isolation of fault conditions. From the reliability analysis of the proposed model, the failure rate and outage hours were reduced due to better response of the system to power fluctuations and fault conditions. |
DOI | 10.1109/PowerAfrica.2019.8928647 |
Citation Key | eneh_improving_2019 |