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arxiveess.SY2026-07-21

Human-in-the-Loop Distributed Control of Grid-Interactive Buildings for Demand Response Participation

Kasra Mazarei Saadabadi, Dongming Wang, Wei Ren, Alfredo Martinez-Morales, Hamidreza Nazaripouya

This paper proposes a human-in-the-loop distributed consensus control approach for demand-side management across multiple buildings. Specifically, a novel framework is introduced in which a human acts as the non-autonomous leader in consensus control of cooperative buildings participating in demand response programs. In this system, the facility manager in the facility building serves as the leader, determining the participation level of cooperative buildings in demand response events while simultaneously considering occupants' comfort. Cooperative buildings align their responses with the facility management building, despite lacking direct access to the facility manager's decisions, which presents a challenge for observer design. To address this, a nonlinear unknown input sliding-mode observer is proposed, tailored for leader-follower multi-agent systems (MASs). Furthermore, a human-in-the-loop leader-follower consensus protocol is introduced, enabling a framework to flexibly manage energy use and balance thermal comfort during demand response events. Simulation results validate the effectiveness of the proposed approach, demonstrating its ability to achieve consensus, maintain system performance, and enhance the adaptability of power grid operations under various demand response scenarios.

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arxiveess.SY2026-06-30

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arxiveess.SY2026-07-22

Human-on-the-loop Resilient Control of InverterBased Resources Under Actuator Degradation

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arxiveess.SY2026-07-07

Inertia-Informed Federated Learning Control Framework for Distributed Smart Grid Resilience

Ibrahim Shahbaz, Omar Al-Refai, Eman Hammad

Resilient-by-design smart grid control demands frameworks capable of maintaining stability under physical disturbances and communication failures, without reliance on centralized coordination. While Centralized Training Decentralized Execution (CTDE) enables a learning-based cont…

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arxivcs.LGeess.SY2026-07-06

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

Omar Al-Refai, Ibrahim Shahbaz, Adam Ali Husseinat, Eman Hammad

Transient stability control in smart grids requires rapid post-fault damping of generator frequency and rotor angle deviations to prevent cascading failures. This paper proposes FedPPO-PG, a Federated Multi-Agent Proximal Policy Optimization framework with Physics-Grounded neighb…

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arxiveess.SY2026-06-27

Negative Resistance Caused by Intra-Loop Coupling in Virtual-Admittance-Based Grid-Forming Control

Jaekeun Lee, Minwoo Jeong, Jae-Jung Jung, Xiongfei Wang, Shenghui Cui

This paper addresses the harmonic instability problem of the virtual-admittance (VA)-based grid-forming control. It is revealed that the intra-loop coupling among the VA control, the inner-loop current control, and the voltage feedforward control results in an \(s^2\)-term in the…

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