ISSN 2096-0042 CN 10-1328/TM
Abstract
2024-1With integration of large-scale renewable energy, new controllable devices, and required reinforcement of power grids, modern power systems have typical characteristics such as uncertainty, vulnerability and openness, which makes operation and control of power grids face severe security challenges. Application of artificial intelligence (AI) technologies represented by machine learning in power gr..
Abstract
2024-1In artificial intelligence (AI) based-complex power system management and control technology, one of the urgent tasks is to evaluate AI intelligence and invent a way of autonomous intelligence evolution. However, there is, currently, nearly no standard technical framework for objective and quantitative intelligence evaluation. In this article, based on a parallel system framework, a method is esta...
Abstract
2024-1The complexity and uncertainty in power systems cause great challenges to controlling power grids. As a popular data-driven technique, deep reinforcement learning (DRL) attracts attention in the control of power grids. However, DRL has some inherent drawbacks in terms of data efficiency and explainability. This paper presents a novel hierarchical task planning (HTP) approach, bridging planning and...
Abstract
2024-1Increase in permeability of renewable energy sources (RESs) leads to the prominent problem of voltage stability in power system, so it is urgent to have a system strength evaluation method with both accuracy and practicability to control its access scale within a reasonable range. Therefore, a hybrid intelligence enhancement method is proposed by combining the advantages of mechanism method and da...
Chi Jin, Junjun Wang, and Peng Wang
Inam Ullah Nutkani, Lasantha Meegahapola, Loh Poh Chiang Andrew, and Frede Blaabjerg
Kunjin Chen, Ziyu He, Shan X. Wang, Jun Hu, Licheng Li, and Jinliang He
Dan Wang, Liu Liu, Hongjie Jia, Weiliang Wang, Yunqiang Zhi, Zhengji Meng, and Bingyu Zhou
Xuetao Xing, Jin Lin, Yonghua Song, You Zhou, Shujun Mu, and Qiang Hu
Rufeng Zhang, Tao Jiang, Guoqing Li, Houhe Chen, Xue Li, Linquan Bai, and Hantao Cui
Dongxia Zhang, Xiaoqing Han, and Chunyu Deng
Suyang Zhou, Zijian Hu, Wei Gu, Meng Jiang, and Xiao-Ping Zhang.
Qiuye Sun, and Lingxiao Yang
Mike Zhou, Jianfeng Yan, and Donghao Feng
The articles published in this journal will focus on advanced concepts, technologies, methodologies and practices associated with all aspects concerning power and energy systems...
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