Decentralized Event-Triggered Adaptive Dynamic Programming Approach for Electric-Gas Coupling Energy Systems With Partially Unknown Dynamics

In this article, a novel online adaptive control scheme is developed for the optimal control issues of integrated electric-gas systems with partially unknown dynamics, by combining the decentralized event-triggered mechanism and adaptive dynamic programming techniques. Initially, the complex electri...

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Veröffentlicht in:IEEE transactions on cybernetics Jg. 55; H. 12; S. 5725 - 5737
Hauptverfasser: Su, Hanguang, Liu, Fan, Zhang, Huaguang, Sun, Qiuye, Zhang, Dongyuan, Wang, Jiawei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.12.2025
Schlagworte:
Adaptive dynamic programming (ADP)
Approximation algorithms
Artificial neural networks
decentralized event-triggered control
electric–gas coupling energy system
Event detection
Heuristic algorithms
Load modeling
Mathematical models
Natural gas
neural network (NN) identifier
Optimal control
Pipelines
State-space methods
ISSN:2168-2267, 2168-2275, 2168-2275
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Zusammenfassung:In this article, a novel online adaptive control scheme is developed for the optimal control issues of integrated electric-gas systems with partially unknown dynamics, by combining the decentralized event-triggered mechanism and adaptive dynamic programming techniques. Initially, the complex electric-gas coupling network is modeled in the state-space form. By virtue of neural networks (NNs), the NN-based identifier and the critic NN are designed to approximate the unknown drift dynamic and the optimal value function in an online fashion, respectively. Subsequently, the decentralized event-triggered control strategies are devised under the identifier-critic framework. Moreover, a novel decentralized event-triggered scheme with the dead-zone operation is proposed, which updates the controller and actuator signals only when the triggering condition is violated. As such, the computation complexity and the waste of communication resources can be significantly reduced. On the foundation of the Lyapunov theory, the uniform ultimate boundedness stability of the closed-loop control system and the exclusion of the Zeno behavior are proven. Finally, the effectiveness of the developed algorithm is verified through two numerical examples.
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2025.3597930