Special Session 12

Renewable Energy in particular wind and solar is expanding at an exponential proportion. Many nations have fixed target of increased penetration of this green energy in their energy mix. It is noted that Indian Government has fixed a target of renewable power capacity to 175 GW which includes 100 GW from Solar, 60 GW from wind, 10 GW from bio-power and 5 GW from small hydro power to be achieved by 2022. In order to achieve the target, the respective governments is executing a wide range of schemes with fiscal and financial support and conducive policies. The wind and solar farm’s output mainly depends on the weather parameters which are variable and intermittent over the period of time. The grid manager needs to know the infirmity, variability/availability of the Variable Generation from the Renewables in the grid. The increased variable generation (VG in short is the common nomenclature used to describe wind and solar generation among the Renewable Energy) penetration would pose challenges which can be mitigated with effective Forecasting and changing the way the grid is operated. VG power forecasting methods can be used to plan unit commitment, scheduling and dispatch by system operators, and maximize profit by electricity traders. As on date, there are various challenges and constraints in estimating the accurate Variable Generation forecasting and the same can be mitigated through advancement of technology, analytics and metrological science. The focus of this special session would be towards the technologies/ methodologies in the forecasting of energy of Wind and Solar plants.

This special session will provide a forum for researchers from academia and industry to present and discuss the various challenges involved in Variable Generation (wind & solar power) Forecasting, to share their experiences and exchange novel ideas, to collaborate for developing innovative methodologies.

It will cover the following topics (but not limited to):

• Model to correct the NWP uncertainty with power measurements
• Hybrid approach in variable generation forecasting
• Renewable Energy forecasting and Electricity market operations
• Advanced ANN / Fuzzy models for variable generation prediction
• Big Data Analytics in Wind / Solar Power Forecasting
• RE forecasting error distribution over multiple timescale
• Unit commitment procedure and scheduling process
• Improved real time management