Emergency Control for Sending-end Power System with Renewable Energy under HVDC Blocking Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Emergency Control for Sending-end Power System with Renewable Energy under HVDC Blocking Based on Deep Reinforcement Learning

Published:2023-12-15 Issue: Volume:40 Page:102-106
ISSN:
Container-title:2023 5th International Conference on Electrical Engineering and Control Technologies (CEECT)
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Author:

Li Zhengxi¹,An Na¹,Wang Kai¹,Ma Junxiong¹,Gao Jin²,Liu Tingjian³,Liu Haoyu³

Affiliation:

1. Institute Of State Grid Qinghai Electric Power Company,Economic and Technological Research,Xining,China

2. Institute Of State Grid Qinghai Electric Power Company,Clean Energy Development Research,Xining,China

3. Sichuan Univerrsity,College of Electrical Engineering,Chengdu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420526/10420474/10420701.pdf?arnumber=10420701

Reference20 articles.

1. Emergency Control Strategy for Sending-End Power Grid Under UHVDC Blocking Fault

2. Optimization of high frequency generator tripping strategy for multi-circuit UHVDC in Sichuan power grid;Zhang Zhiqiang;Automation of Electric Power Systems,2016

3. Research of stability control strategies for high density wind power, AC-DC sending grid bi-pole trip;Zhong;Power System Protection and Control,2015

4. Energy Function Analysis for Power System Stability

5. Real Time Prediction and Control of Transient Stability Using Transient Energy Function

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