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Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach

we propose to explicitly engineer the structure of neural network based controllers such that they guarantee system stability for all topologies and parameters. This is done by using a Lyapunov function to guide their structures. A recurrent neural network based reinforcement learning architecture is used to efficiently train the weights of controllers.

Wenqi Cui, Yan Jiang, Baosen Zhang

Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach

Equilibrium-Independent Stability Analysis for Distribution Systems with Lossy Transmission Lines

This paper proposes a novel equilibrium-independent transient stability analysis of distribution systems with lossy lines.

Wenqi Cui, Baosen Zhang

Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach

This paper aims to leverage nonlinear optimal controllers to simultaneously achieve optimal transient frequency control and find the most economic power dispatch for frequency restoration.

Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés

Decentralized Safe Reinforcement Learning for Voltage Control

This paper proposes a decentralized safe learning approach for voltage control.

Wenqi Cui, Jiayi Li, Baosen Zhang

Review of Market Power Assessment and Mitigation In the Reshaping of Power Systems: State-of-Art Status and Potential Research Studies

Deregulation of the power industry requires avoiding market power abuse for maintaining market competitiveness. To this end, a sequence …

Nan Shang, Yi Ding, Wenqi Cui

Predicting Power System Dynamics and Transients: A Frequency Domain Approach

This paper proposes a decentralized safe learning approach for voltage control.

Wenqi Cui, Weiwei Yang, Baosen Zhang

Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability

This paper proposes a Lyapunov regularized RL approach for optimal frequency control for transient stability in lossy networks.

Wenqi Cui, Baosen Zhang

Multi-state operating reserve model of aggregate thermostatically-controlled-loads for power system short-term reliability evaluation

Thermostatically-controlled-loads (TCLs) have been regarded as a good candidate for maintaining the power system reliability by …

Yi Ding, Wenqi Cui

Evaluation and sequential dispatch of operating reserve provided by air conditioners considering lead–lag rebound effect

Air conditioners (ACs) are widely considered as good candidates to provide operating reserve. Demand response rebound, i.e., the …

Wenqi Cui, Yi Ding