82 citations · 82 across the 6 of their papers we have counts for
11 papers
Towards socio-techno-economic power systems with demand-side flexibility
Hanmin Cai, Federica Bellizio, Yi Guo +11
Harnessing the demand-side flexibility in building and mobility sectors can help to better integrate renewable energy into power systems and reduce global CO2 emissions. Enabling t…
Plug and Play Distributed Control of Clustered Energy Hub Networks
Varsha Behrunani, Cara Koepele, Jared Miller +4
The transition to renewable energy is driving the rise of distributed multi-energy systems, in which individual energy hubs and prosumers (e.g., homes, industrial campuses) generat…
Loss-aware Pricing Strategies for Peer-to-Peer Energy Trading
Varsha N. Behrunani, Philipp Heer, Roy S. Smith +1
Peer-to-peer(P2P) energy trading may increase efficiency and reduce costs, but introduces significant challenges for network operators such as maintaining grid reliability, account…
Experimental Validation for Distributed Control of Energy Hubs
Varsha Behrunani, Philipp Heer, John Lygeros
As future energy systems become more decentralised due to the integration of renewable energy resources and storage technologies, several autonomous energy management and peer-to-p…
Degradation-aware data-enabled predictive control of energy hubs
Varsha Behrunani, Marta Zagorowska, Mathias Hudoba de Badyn +3
Mitigating the energy use in buildings, together with satisfaction of comfort requirements are the main objectives of efficient building control systems. Augmenting building energy…
Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs
Varsha Behrunani, Hanmin Cai, Philipp Heer +2
The increasing penetration of renewable energy resources has transformed the energy system from traditional hierarchical energy delivery paradigm to a distributed structure. Such d…
Stochastic MPC for energy hubs using data driven demand forecasting
Varsha Behrunani, Francesco Micheli, Jonas Mehr +2
Energy hubs convert and distribute energy resources by combining different energy inputs through multiple conversion and storage components. The optimal operation of the energy hub…
Designing Fairness in Autonomous Peer-to-peer Energy Trading
Varsha Behrunani, Andrew Irvine, Giuseppe Belgioioso +3
Several autonomous energy management and peer-to-peer trading mechanisms for future energy markets have been recently proposed based on optimization and game theory. In this paper,…
Efficient sample selection for safe learning
Marta Zagorowska, Efe C. Balta, Varsha Behrunani +2
Ensuring safety in industrial control systems usually involves imposing constraints at the design stage of the control algorithm. Enforcing constraints is challenging if the underl…
Performance-Driven Cascade Controller Tuning with Bayesian Optimization
Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski +3
We propose a performance-based autotuning method for cascade control systems, where the parameters of a linear axis drive motion controller from two control loops are tuned jointly…
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization
Mohammad Khosravi, Varsha Behrunani, Roy S. Smith +2
Cascaded controller tuning is a multi-step iterative procedure that needs to be performed routinely upon maintenance and modification of mechanical systems. An automated data-drive…