The electrical load of a power system is continuously changing throughout a day and its peak changes from one day to another. Given this ever-changing load, the power system operator schedules beforehand the start-up time of required generating units as well as time to connect them to the grid. Thus, economic dispatch and unit commitment are the key conundrums for a power system operator to solve optimally for ensuring economic and reliable power supply to consumers.
PLEXOS is an integrated optimization platform for electric power, water and gas systems developed by Energy Exemplar, currently in use in more than 62 countries. PLEXOS is a robust mathematical optimization tool which involves deterministic & stochastic techniques and can be used to solve the complex problems of economic dispatch and unit commitment. By training their professionals to optimize the economic dispatch, SAARC Member States can reap multiple benefits of economic dispatch such as reduced electricity costs; more efficient generation which in turn means better fuel utilization, lower fuel usage and reduced air emissions; increased operational reliability; and flexibility to incorporate policy targets.
SAARC Energy Centre conducted a webinar on “Economic Dispatch and Unit Commitment Modelling using PLEXOS® or similar software” on Friday, 5th March 2021. The objective of this webinar was to familiarise the participants on the application of PLEXOS® to economic dispatch problems for power systems of varying sizes, diverse generation sources and dispatch facilities.
The Concept Paper, Agenda and Presentation during webinar are available at the links below:
- Download Concept Paper of the Webinar, Click Here
- Download Agenda of the Webinar, Click Here
- Download Presentation on “Optimizing Efficient Use of Energy with PLEXOS®” by Dr. Dante Recalde and Mr. Anand Chandrashekaran, Click Here
You may submit comments/views and/or observations on the Webinar to SAARC Energy Centre through email to Mr. Ahmad Talha, Research Fellow (TT) (email@example.com)