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dc.contributor.authorJibran, Muhammad
dc.contributor.authorNasir, Hasan Arshad
dc.contributor.authorQureshi, Faran Ahmed
dc.contributor.authorAli, Usman
dc.contributor.authorJones, Colin
dc.identifier.citationJibran, M., Nasir, H. A., Qureshi, F., Ali, U., & Jones, C. (2020). A Demand Response Framework to Overcome Network Overloading in Power Distribution Networks. IFAC-PapersOnLine, 53(2), 13339–13344. doi:10.1016/j.ifacol.2020.12.168
dc.description.abstractThis paper considers the problem of network overloading in the power distribution networks of Pakistan, often resulting from the inability of the transmission system to transfer power from source to end-user during peak loads. This results in frequent power-outages and consumers at such times have to rely on alternative energy sources, e.g. Uninterrupted Power Supply (UPS) systems with batteries to meet their basic demand. In this paper, we propose a demand response framework to eliminate the problem of network overloading. The flexibility provided by the batteries at different houses connected to the same grid node is exploited by scheduling the flow of power from mains and batteries and altering the charging-discharging patterns of the batteries, thereby avoiding network overloading and any tripping of the grid node. This is achieved by casting the problem in an optimal control setting based on a prediction of power demand at a grid node and then solving it using a model predictive control strategy. We present a case study to demonstrate the application and efficacy of our proposed framework.
dc.publisherElsevier BV
dc.rights2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
dc.titleA demand response framework to overcome network overloading in power distribution networks
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.conference.date2020-07-12 to 2020-07-17
dc.conference.name21st IFAC World Congress 2020
dc.conference.locationBerlin, DEU
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSchool of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan
dc.contributor.institutionAutomatic Control Lab in Ecole Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
kaust.personQureshi, Faran Ahmed

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2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Except where otherwise noted, this item's license is described as 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license