Article
Physics, Fluids & Plasmas
Joseph N. E. Lucero, Jannik Ehrich, John Bechhoefer, David A. Sivak
Summary: Understanding the relationship between information and thermodynamics is a key application of stochastic thermodynamics. It is still uncertain to what extent real systems can achieve the theoretical limits of information-to-energy conversion. Research indicates that limiting an engine's output in converting information to energy can restrict its capability, yet feedback control can enable the engine to store energy at the highest achievable rate.
Article
Engineering, Electrical & Electronic
Jonggyu Jang, Hyun Jong Yang
Summary: This paper proposes a novel user association, resource allocation, and dynamic power control scheme to maximize alpha-fairness in renewable energy source-assisted small cell networks. By using a Lagrangian duality-based algorithm and a deep reinforcement learning-based dynamic power control scheme, the proposed scheme achieves significant improvement in computation time and fairness metrics.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Juelin Liu, Zhifang Yang, Junbo Zhao, Juan Yu, Bendong Tan, Wenyuan Li
Summary: This paper proposes a data-driven small-signal stability constrained optimal power flow (SSSC-OPF) method with high computational efficiency. The method avoids repeating the computational expense small-signal stability analysis during the iterative OPF process and instead develops a computationally cheap surrogate constraint. By using an efficient sample generation strategy and support vector machine (SVM), the small-signal stability constraint is learned and embedded into the OPF model for generator control.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Nan He, Haonan Wang, Fan Li, Bo Jiang, Dawei Tang, Lin Li
Summary: We propose an ion-engine hydrovoltaic electricity generator that utilizes an ion concentration gradient in hydrogels to accelerate ion migration and increase the generated current. This generator achieves a record-breaking current density and has potential applications in night-time lighting, sweat monitoring, and powering small unmanned boats.
ENERGY & ENVIRONMENTAL SCIENCE
(2023)
Article
Physics, Fluids & Plasmas
Yuki Izumida
Summary: This paper develops a linear response theory for adiabatically changing parameters and temperature differences in heat engines. It establishes a hierarchical relationship between global and local linear response relations, deriving a detailed expression for global Onsager coefficients and a tighter efficiency bound than Carnot bound for linear irreversible heat engines. The theory is demonstrated using the simplest stochastic Brownian heat engine model.
Article
Automation & Control Systems
Deepak Pullaguram, Ramtin Madani, Tuncay Altun, Ali Davoudi
Summary: This article presents a solution to the small-signal stability-constrained optimal power flow (SSSC-OPF) for inverter-based ac microgrids. By embedding a small-signal stability constraint into the conventional OPF formulation and adopting a reduced-order model of the microgrid to reduce computational burden, two distinct convex relaxation approaches are developed to tackle the nonconvexity in the SSSC-OPF.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Review
Physics, Multidisciplinary
Viktor Holubec, Artem Ryabov
Summary: The study of fluctuations in the performance of small heat engines has gained attention due to the development of microscopic machines. Understanding these fluctuations may lead to a revolution similar to the discovery of the second law of thermodynamics.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
Article
Energy & Fuels
Peijie Li, Jinwang Hou, Yude Yang, Xiaoqing Bai
Summary: This paper proposes an SSSC-OPF model based on optimizing the rotor angle trajectory to address the nonlinearity issue in traditional power system small signal stability analysis. Simulation results demonstrate the effectiveness and generalizability of the proposed model.
Article
Physics, Multidisciplinary
Yuto Ashida, Takahiro Sagawa
Summary: Researchers have developed a reinforcement learning framework to optimize power and efficiency in nanoscale engines with significant two-body interactions. They found that electron-electron interactions can significantly enhance thermal performance, providing an alternative strategy for designing the best heat engines with multiple objectives.
COMMUNICATIONS PHYSICS
(2021)
Article
Sport Sciences
Pedro Jimenez-Reyes, Amador Garcia-Ramos, Juan A. Parraga-Montilla, Jose A. Morcillo-Losa, Victor Cuadrado-Penafiel, Adrian Castano-Zambudio, Pierre Samozino, Jean-Benoit Morin
Summary: This study investigated the seasonal changes in the sprint force-velocity (Fv) profile of male professional soccer players in the Spanish soccer league. The results showed significant differences in F-0, P-max, and RFpeak between preseason and in-season, while v(0), Fv slope, and D-RF remained unchanged.
JOURNAL OF STRENGTH AND CONDITIONING RESEARCH
(2022)
Article
Automation & Control Systems
Parikshit Pareek, Hung D. Nguyen
Summary: This article presents a novel convexification approach for small-signal stability constraint optimal power flow without relying on eigenvalue analysis, using bilinear matrix inequality and differential algebraic equation modeling. The method is based on semidefinite programming and objective penalization for feasible solution recovery, with a vector-norm based objective penalty function for large and dense BMIs. Effectiveness studies on various test systems show that the proposed method can achieve stable equilibrium points without incurring high stability-induced additional costs.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2021)
Article
Physics, Multidisciplinary
Etienne Fodor, Michael E. Cates
Summary: The study of thermal heat engines is crucial for establishing equilibrium thermodynamics principles, while the conversion of energy in non-equilibrium systems remains a significant question with potential to illuminate general physical principles. Recent theoretical progress on engines operating with active matter has identified two main classes and strategies for optimization, with limitations in previous studies suggesting the need for a coherent thermodynamic framework far from equilibrium.
Article
Engineering, Electrical & Electronic
Anirudh Subramanyam, Jacob Roth, Albert Lam, Mihai Anitescu
Summary: This paper proposes a reliability-aware approach for power dispatch, which aims to reduce the probability of cascades by considering the failure potential. By utilizing a probability model, the proposed method can effectively decrease the risk of blackouts in power transmission systems.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Thermodynamics
Carlos Guardiola, Benjamin Pla, Pau Bares, Alvin Barbier
Summary: This study analyzes in-cylinder pressure oscillations in a dual-fuel combustion engine and determines feedback variables, control actuators, and control methods for safe engine operation. By examining fully, highly, and partially premixed combustion modes, it is found that operation constraints based solely on indicators like pressure rise rate are insufficient for limiting in-cylinder pressure oscillations.
INTERNATIONAL JOURNAL OF ENGINE RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Bin Luo, Guohe Huang, Jiapei Chen, Xiaoyue Zhang, Kai Zhao
Summary: The CCSS model proposed in this study effectively deals with uncertainties and provides solutions for SMR construction planning, helping to increase the proportion of renewable energy. Comparisons with models without SMR technology show the effectiveness of the CCSS model in supporting long-term clean energy utilization and emissions reduction policies in Saskatchewan.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)