Venkata Suryakiran Bhamidipati
About Venkata
Surya received his Masters of Technology from the Centre for Energy Studies, Indian Institute of Technology Delhi in 2018.
Surya has previously worked in the area of optimisation and held the position of Assistant Manager in Deloitte Touche Tohmatsu India.
Surya is particularly interested in power systems and has experience in electricity markets and their redesigning in an intermittent environment. Surya possess a good extent of knowledge in renewable generation integration to the grid and enjoys learning and exploring new ideas in his academic and personal life. Surya is also interested in cultural diversity and enjoys exploring as many places as possible.
In his spare time Surya enjoys playing badminton, table tennis and cricket.
Project details
IoT based EV infrastructure: Data Driven Approach for analysis and optimization of Distribution system Operation (DSO) under uncertainties
Traditionally, the distribution systems are designed for uni-directional power flow with power source elsewhere and are always connected to transmission system. Also, the changes in system configuration were not too frequent. Introduction of renewable energy based distributed generations (DGs), battery energy storages, and electric vehicles (EVs) is changing the overall structure and conventions of the traditional distribution systems. Various market mechanism and more pronounced role of distribution system operator (DSO) is emerging due to multiple ownership and need for demand response (DR) till individual house hold level. The biggest challenge in distribution systems is the availability of data and network information for accurate state estimation and modelling. An indirect approach using measurement/historical data to determine the network configuration/other states needs to be explored. Further for more data availability low cost measurement, accumulation and storage should be explored. Uncertainties in PV/EV can be complementary and should be seen as opportunity for balancing each other's effect along with already existing natural storage in distribution system. The IoT based platform can provide data in the cloud base which can be further used to develop predictive models for distribution network under various uncertainties. Emphasis in this project will be to develop 1) low cost measuring infrastructure for LV distribution system with EV penetration 2) Data driven approach for determining the distribution system models 3) Optimal scheduling and voltage management in weak distribution systems with large EV penetration utilizing V2G and G2V operations.
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