Output voltage control method of PWM-controlled cycloconverters with space vectors

A data-driven PEMFC output voltage control method is proposed. Moreover, an Improved deep deterministic policy gradient algorithm is proposed for this method. The algorithm introduces three techniques: Clipped multiple Q-learning, policy delay update, and policy smoothing to improve the robustness of the control policy. In this algorithm, the hydrogen controller is treated as an agent, which is pre-trained to fully interact with the environment and obtain the optimal control policy. The effectiveness of the proposed algorithm is demonstrated experimentally.

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Using a neural network to obtain an output voltage control method in an interconnection inverter

Electronics and Communications in Japan (Part I Communications) ◽

10.1002/ecja.4410790902 ◽

1996 ◽

Vol 79 (9) ◽

pp. 11-18

Author(s):

Kunitoshi Tazume ◽

Tadahito Aoki ◽

Yutaka Kuwata ◽

Yousuke Nozaki

Keyword(s):

Neural Network ◽

Output Voltage ◽

Control Method ◽

Voltage Control

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Constant output voltage control method for buck-boost type switched mode rectifier with fixed switching pulse pattern

Proceedings of the IEEE International Conference on Industrial Technology (ICIT'96) ◽

10.1109/icit.1996.601587 ◽

2002 ◽

Cited By ~ 3

Author(s):

T. Iida ◽

G. Majumdar ◽

H. Mori ◽

H. Iwamoto

Keyword(s):

Output Voltage ◽

Control Method ◽

Voltage Control ◽

Constant Output

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Output Voltage Control Method of PWM Inverter for Driving LSM to Reduce the Burden on Output Transformer

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.119.837 ◽

1999 ◽

Vol 119 (6) ◽

pp. 837-847 ◽

Cited By ~ 1

Author(s):

Akinobu Okui ◽

Yoshinobu Nakamichi ◽

Haruo Ikeda

Keyword(s):

Output Voltage ◽

Control Method ◽

Voltage Control ◽

Pwm Inverter ◽

Output Transformer

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Distributed Imitation-Orientated Deep Reinforcement Learning Method for Optimal PEMFC Output Voltage Control

Frontiers in Energy Research ◽

10.3389/fenrg.2021.741101 ◽

2021 ◽

Vol 9 ◽

Author(s):

Jiawen Li ◽

Yaping Li ◽

Tao Yu

Keyword(s):

Reinforcement Learning ◽

Control Strategy ◽

Output Voltage ◽

Proton Exchange Membrane ◽

Control Method ◽

Voltage Control ◽

Proton Exchange ◽

Gradient Algorithm ◽

Voltage Control Strategy ◽

The Stability

In order to improve the stability of proton exchange membrane fuel cell (PEMFC) output voltage, a data-driven output voltage control strategy based on regulation of the duty cycle of the DC-DC converter is proposed in this paper. In detail, an imitation-oriented twin delay deep deterministic (IO-TD3) policy gradient algorithm which offers a more robust voltage control strategy is demonstrated. This proposed output voltage control method is a distributed deep reinforcement learning training framework, the design of which is guided by the pedagogic concept of imitation learning. The effectiveness of the proposed control strategy is experimentally demonstrated.

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A Centralized Shifted Voltage Control Method for Accurate Power Sharing in DC Islanded Microgrids

Renewable Energy and Power Quality Journal ◽

10.24084/repqj19.242 ◽

2021 ◽

Vol 19 ◽

pp. 155-159

Author(s):

Minh-Duc Pham ◽

◽

Hong-Hee Lee

Keyword(s):

Output Voltage ◽

Control Method ◽

Voltage Drop ◽

Renewable Energy Sources ◽

Control Variable ◽

Voltage Control ◽

Power Sharing ◽

System Stability ◽

Small Scale ◽

Dc Microgrid

Due to line impedance mismatch among renewable energy sources (RESs), it is hard to realize accurate power sharing in the DC microgrid system. To solve this issue, a distributed power sharing strategy for adjusting the RES output voltage is developed by adding shifted output voltage into each local controller. Thanks to the shifted voltage, the influence of voltage drop caused by the droop controller is effectively mitigated, so that the DC bus voltage is constantly balanced regardless of the load changes. The proposed method is realized with a centralized approach, and all the required control variable to determine the reference voltage is transmitted through low-bandwidth communication. The controller design and system stability are analyzed in detail with a simplified microgrid model. Small-scale DC microgrid is simulated to verify the effectiveness of the centralized shifted voltage control method.

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