PROJECTS
Optimization algorithms and decentralized market architectures for renewable-integrated power grids, each validated on IEEE benchmark networks and carried through to journal publication.
Analytical dispatch method coupling droop control with economic dispatch for autonomous microgrid operation under renewable generation and demand response.
End-to-end decentralized electricity trading platform on Ethereum, smart-contract settlement, automated battery-storage scheduling, and utility fallback, validated for grid impact on IEEE benchmark distribution systems.
Analytical dispatch framework coordinating mobile storage across coupled transportation and power networks, relevant to EV-fleet-as-storage and grid-support use cases. The closed-form rule needs only one AC power-flow evaluation per coordination step, eliminating iterative station-level optimization.
A new population-based metaheuristic for constrained, non-convex engineering optimization, the class of problem behind dispatch, siting, and sizing using adaptive probe placement and adaptive step scaling. Four convergence theorems proved.
A deep learning approach to counterfactual grid decision support, built as a full PyTorch implementation with a demo interface. Still early-stage, more details once it's further along.
An architecture for protecting household-level privacy in smart meter data collection, grounded in India's smart-metering rollout context. Still early-stage, more details once it's further along.