“Monitoring of Active Distribution Networks: by Dr Rajarshi Dutta Indian Institute of Technology Kanpur in the frame of Friday Seminar Series.

Dear Colleagues,

The 2nd seminar of the Fall Friday Seminar Series 2022 “Monitoring of Active Distribution Networks” by Dr Rajarshi Dutta (Research Associate, Indian Institute of Technology Kanpur) was given on October 21st.

Friday Seminar Series 2022_Fall Part1


The increase in the penetration of intermittent renewable energy sources, storage, and controllable loads has transformed the conventional distribution network into an active distribution network (ADN). As the distribution network is transformed from passive to active, the power flow becomes bidirectional. The operating state of an ADN can experience sudden variations caused by the intermittent changes in power output of distributed generators and complex loads. These changes in power can cause a sudden rise or dip in the bus voltages. To take effective control actions, the DSO needs to monitor the bus voltage phasors at the distribution level. The distribution system state estimator (DSSE) is a key monitoring application that estimates the system states, i.e., the bus voltage phasors, based on available measurements and knowledge of the network model. The estimated states enable the DSO to make efficient operational decisions such as volt/var control, capacitor switching, and control of switches/ reclosers. Although DSSE is necessary for monitoring ADNs, the DSO faces several challenges in implementing a state estimator for ADN. This talk will address some of the significant difficulties faced by a DSO in monitoring the states and topology of ANDs.

About the author

Rajarshi Dutta received his PhD degree in electrical engineering from the Indian Institute of Technology (IIT), Kanpur, India, and the M.Tech degree in electrical engineering from the Indian Institute of Technology (IIT), Bhubaneswar, India, in 2022 and 2016, respectively. His research interests include monitoring and modelling of active distribution networks, state and parameter estimation, event detection and localization.