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Found 11 papers, 10 papers with code
Whole-System First-Swing Stability of Inverter-Based Inertia-Free Power Systems
The emphasis on inertia for system stability has been a long-held tradition in conventional grids.
Impedance-based Root-cause Analysis: Comparative Study of Impedance Models and Calculation of Eigenvalue Sensitivity
Impedance models of power systems are useful when state-space models of apparatus such as inverter-based resources (IBRs) have not been made available and instead only black-box impedance models are available.
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
This paper presents a problem in power networks that creates an exciting and yet challenging real-world scenario for application of multi-agent reinforcement learning (MARL).
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Dual Synchronous Generator: Inertial Current Source based Grid-Forming Solution for VSC
Based on dual synchronous idea, a dual synchronous generator (DSG) control is applied in VSC to form inertial current source.
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
This paper studies a theoretical framework for value factorisation with interpretability via Shapley value theory.
Revisiting Grid-Forming and Grid-Following Inverters: A Duality Theory
Power electronic converters for integrating renewable energy resources into power systems can be divided into grid-forming and grid-following inverters.
Mapping of Dynamics between Mechanical and Electrical Ports in SG-IBR Composite Grids
The SG-dominated grid is traditionally analyzed in a mechanical-centric view which ignores fast electrical dynamics and focuses on the torque-speed dynamics.
The Intrinsic Communication in Power Systems: A New Perspective to Understand Synchronization Stability
Based on this isomorphism, we revisit power system synchronization stability from a communication perspective and thereby establish a theory that unifies the synchronization dynamics of heterogeneous power apparatuses.
Participation Analysis in Impedance Models: The Grey-Box Approach for Power System Stability
This paper develops a grey-box approach to small-signal stability analysis of complex power systems that facilitates root-cause tracing without requiring disclosure of the full details of the internal control structure of apparatus connected to the system.
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
We test HDNO on MultiWoz 2. 0 and MultiWoz 2. 1, the datasets on multi-domain dialogues, in comparison with word-level E2E model trained with RL, LaRL and HDSA, showing improvements on the performance evaluated by automatic evaluation metrics and human evaluation.
Hierarchical Reinforcement Learning
reinforcement-learning
+2
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
To deal with this problem, we i) introduce a cooperative-game theoretical framework called extended convex game (ECG) that is a superset of global reward game, and ii) propose a local reward approach called Shapley Q-value.
