Prof. Sanjib Ganguly

Associate Professor , EEE Department
Indian Institute of Technology Guwahati

Book Chapters

7
R. MonojKumar, C. Kumar, and S. Ganguly, “Grid stability and power quality improvement in electrical distribution networks using smart transformer,” Chapter in Design and Control of Active Power Filters towards the Decarbonisation of Smart Grid Networks, Elsevier, pp. 43–82, ISBN: 978-0-323-99903-8, 2025. LINK
6
V. Kumari and S. Ganguly, “Study of Power Distribution System Resilience in the Presence of E-Mobility Ecosystems,” E-Mobility in Electrical Energy Systems for Sustainability, IGI Global Publishers, 2024 (Electronic ISBN: 9798369326121, Print ISBN: 9798369326114). LINK
5
M. R. Dar and S. Ganguly, “Voltage Control of EV-Enabled Future Power Distribution Networks,” E-Mobility in Electrical Energy Systems for Sustainability, IGI Global Publishers, 2024 (Electronic ISBN: 9798369326121, Print ISBN: 9798369326114). LINK
4
S. Panda and S. Ganguly, “Optimal Network Reconfiguration for Efficient EV Integration in the Smart Grid-Enabled Power Distribution Networks,” E-Mobility in Electrical Energy Systems for Sustainability, IGI Global Publishers, 2024 (Electronic ISBN: 9798369326121, Print ISBN: 9798369326114). LINK
3
Shubh Lakshmi and S. Ganguly, “A Review of Smart Grid Planning Approaches and a New Proposal for Operational Planning of Smart Grid with Smart Homes,” Applications of Big Data and Artificial Intelligence in Smart Energy Systems, vol. 1, River Publishers, pp. 127–160, 2023 (Electronic ISBN: 9788770228244, Print ISBN: 9788770228251). LINK
2
Shubh Lakshmi and S. Ganguly, “Transition of power distribution system planning from passive to active networks: A state-of-the-art review and a new proposal,” Sustainable Energy Technology and Policies: A Transformational Journey, Part of the Green Energy and Technology book series, Springer-Verlag, pp. 87–117, 2018. LINK
1
S. Ganguly, N.C. Sahoo, and D. Das, “Multi-objective expansion planning of electrical distribution networks using comprehensive learning particle swarm optimization,” Applications of Soft Computing (Advances in Intelligent and Soft Computing, vol. 58), Springer-Verlag, pp. 193–202, 2009. LINK
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