Samuel Talkington, Frederik Geth, Qian Zhang et al. · Oct 01, 2026
Tellegen is an open-source framework for interactive power flow (PF) and optimal power flow (OPF) studies that run in the browser, providing intuitive access to analysis tools compiled to WebAssembly. Users can interact with models by dragging and dropping case files, changing nodal demands, and previewing impacts via sensitivity analysis, without transmitting sensitive information off-device. The framework achieves performance comparable to native binary solutions on realistic synthetic grids.
Why This Matters
This paper matters for power industry professionals as it provides a platform to analyze and optimize power flow and optimal power flow in the browser, which can be particularly useful for utility planners and grid operators to evaluate the impacts of changes on the grid, reducing installation and hosting requirements while keeping case data local. This technology has direct applicability in ISO operations, FERC filings, and NERC standards.
Nicolas Kirsch, Corrado Sgadari, Alessio La Bella et al. · Oct 01, 2026
A hybrid-action neural controller (HANC) is proposed for cyber-physical systems with both continuous and discrete actions, combining differentiable and categorical components. The HANC framework reduces operating cost in a district heating network by 30% compared to a rule-based baseline under dynamic electricity pricing. Injecting noise during training also improves performance by reducing hard switching while maintaining similar cost.
Why This Matters
This paper's focus on hybrid-action neural feedback control for district heating networks has implications for grid operations and resilience, particularly in integrating variable renewable energy sources into the grid. The proposed controller's ability to handle switching decisions and continuous operating setpoints can inform strategies for managing peak demand, balancing supply and demand, and optimizing energy distribution within microgrids or urban areas.
Nilanjan Roy Chowdhury, Venkatesh Sarangan · Oct 01, 2026
The article proposes an optimization-based fixed-time control algorithm that regulates voltage in power distribution networks without prior knowledge of exact impedance, ensuring convergence within a fixed time-window. The algorithm is analyzed using Fixed-time stability and Control Lyapunov function to guarantee stability and robustness. It is compared with existing robust control methods on the IEEE-33 bus distribution network.
Why This Matters
This paper is highly relevant for power system engineers and grid operators, as it presents a novel fixed-time voltage regulation algorithm that can ensure stable and efficient operation of distribution networks under uncertainty. The proposed method has direct implications for utility planning and operations, particularly in the context of renewable integration and grid resilience.
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