Journal ArticleDOI
An analysis of previous blackouts in the world: Lessons for China׳s power industry
TLDR
In this article, the authors analyzed the sphere of influence, the scale of the effects, the restoration measures and the causes of previous worldwide blackouts and proposed suggestions for the development of China's power industry.Abstract:
Large-scale blackouts have occurred frequently throughout the world. The blackouts that have occurred in recent years not only seriously affect the lives of local residents, but they also cause substantial economic losses. In particular, as modern society increasingly depends on electricity, power outages occurring at any time may result in devastating consequences. Accordingly, identifying the reasons for blackouts and implementing proper restoration measures are of particular importance. This paper analyses the sphere of influence, the scale of the effects, the restoration measures and the causes of previous worldwide blackouts. Based on the findings, suggestions for the development of China׳s power industry are then offered.read more
Citations
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Journal ArticleDOI
Adaptive Power System Emergency Control Using Deep Reinforcement Learning
TL;DR: An open-source platform named Reinforcement Learning for Grid Control (RLGC) has been designed for the first time to assist the development and benchmarking of DRL algorithms for power system control.
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Review of major approaches to analyze vulnerability in power system
TL;DR: This paper aims to guide the reader toward choosing the most effective method according to the issue investigated, namely the N-k problem, trade-off between robustness and optimality, and emerging drivers in power grids.
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Battery Technologies for Grid-Level Large-Scale Electrical Energy Storage
Xiayue Fan,Bin Liu,Jie Liu,Jia Ding,Xiaopeng Han,Yida Deng,Xiaojun Lv,Ying Xie,Bing Chen,Wenbin Hu,Wenbin Hu,Cheng Zhong,Cheng Zhong +12 more
TL;DR: In general, battery energy storage technologies are expected to meet the requirements of GLEES such as peak shaving and load leveling, voltage and frequency regulation, and emergency response, which are highlighted in this perspective.
Journal ArticleDOI
The power industry reform in China 2015: Policies, evaluations and solutions
TL;DR: Wang et al. as mentioned in this paper reviewed the history of reform in 2002 and summarized the existing problems of China's power industry, including twisted pricing mechanism, irrational power system planning, inefficient utilization of renewable energy and so on.
Posted Content
Adaptive Power System Emergency Control using Deep Reinforcement Learning.
TL;DR: In this article, the authors developed novel adaptive emergency control schemes using deep reinforcement learning (DRL), by leveraging the high-dimensional feature extraction and non-linear generalization capabilities of DRL for complex power systems.
References
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TL;DR: The third edition of the International Disaster Management, Third Edition as discussed by the authors provides practitioners and students alike with a comprehensive understanding of the disaster management profession by utilizing a global perspective and including the different sources of risk and vulnerability, the systems that exist to manage hazard risk, and the many different stakeholders involved.
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Journal ArticleDOI
Large blackouts in North America: Historical trends and policy implications
TL;DR: This paper found that the frequency of large blackouts in the United States has not decreased over time, that there is a statistically significant increase in blackout frequency during peak hours of the day and during late summer and mid-winter months (although non-storm-related risk is nearly constant through the year) and there is strong statistical support for the previously observed power-law statistical relationship between blackout size and frequency.