Development of model predictive controls for flood control and power generation of reservoir cascade in Mahaweli basin, Sri Lanka to mitigate energy and economic crisis provoked by the COVID-19 pandemic

Kaushalya, Ranapura Dewage Thilini; Hemakumara, Sajana Pramudith; Hemakanth, Selvarajah; Sugeeshwara, Seenipellage Chaminda

doi:https://doi.org/10.5194/piahs-386-147-2024

Articles | Volume 386

https://doi.org/10.5194/piahs-386-147-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/piahs-386-147-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 386

Post-conference publication

|

19 Apr 2024

Post-conference publication |

| 19 Apr 2024

Development of model predictive controls for flood control and power generation of reservoir cascade in Mahaweli basin, Sri Lanka to mitigate energy and economic crisis provoked by the COVID-19 pandemic

Ranapura Dewage Thilini Kaushalya, Sajana Pramudith Hemakumara, Selvarajah Hemakanth, and Seenipellage Chaminda Sugeeshwara

Cited articles

Ceylon Electricity Board: Electricity Generated, https://ceb.lk/electricity-generated/en (last access: 24 October 2022), 2022.

Department of Meteorology: Climate of Sri Lanka, http://www.meteo.gov.lk/ (last access: 24 October 2022), 2016.

Health Promotion Bureau: COVID-19: Live Situational Analysis Dashboard of Sri Lanka, https://hpb.health.gov.lk/covid19-dashboard/ (last access: 24 October 2022), 2022.

Survey Department: National Atlas, Colombo: Survey Department, Sri Lanka, ISBN 9559059041, 2012.

Short summary

This research investigates the ability to optimize water resources and energy production in Sri Lanka's Mahaweli basin amidst challenges of floods and economic strains from COVID-19. By developing model predictive controls, it offers sustainable solutions for efficient water management and renewable energy utilization, strengthening resilience in the basin against natural disasters and economic uncertainties. The insights gained are valuable and applicable to similar regions worldwide.