Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Zheming Liang"'
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 9, Iss 5, Pp 1797-1807 (2023)
Externí odkaz:
https://doaj.org/article/acc44d9f013a48a2ad8c47c9c534129c
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 8, Pp 85-96 (2021)
It is a crucial yet challenging task to ensure commercial load resilience during high-impact, low-frequency extreme events. In this paper, a novel safe reinforcement learning (SRL)-based resilient proactive scheduling strategy is proposed for commerc
Externí odkaz:
https://doaj.org/article/d4db309f6def4f4c925a54fdccafc272
Publikováno v:
IEEE Access, Vol 7, Pp 112639-112652 (2019)
In this paper, we propose a risk-constrained adaptive robust optimization approach to provide proactive resilient scheduling decisions for multiple networked microgrid central controllers under potential extreme events. Our objective is to minimize b
Externí odkaz:
https://doaj.org/article/571ef0246f1549e5b074df53ab0e2df8
Publikováno v:
IEEE Access, Vol 5, Pp 2101-2110 (2017)
This paper proposes an innovative economic and engineering coupled framework to encourage typical flexible loads or load aggregators, such as parking lots with high penetration of electric vehicles, to participate directly in the real-time retail ele
Externí odkaz:
https://doaj.org/article/a827f77e9b1b4dd99f8f680853b0e16c
Autor:
Zheming Liang, Wencong Su
Publikováno v:
IET Smart Grid (2018)
Distributed energy resources (DERs) are deployed vastly to reduce carbon emission, improve power quality and maintain the reliability of distribution systems. With the introduction of new players, such as prosumers, which are constructed with DERs,
Externí odkaz:
https://doaj.org/article/6ddb72b6dd94465cb7a09c04e7c80a6c
Autor:
Wenyu Luo, Jun Pi, Tao Jiang, Zhihuang Shen, Dapan Hou, Zhonghe Cao, Changsheng Xue, Zheming Liang
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 124:1513-1526
Autor:
Zheming Liang
Publikováno v:
2022 IEEE Power & Energy Society General Meeting (PESGM).
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 8, Pp 85-96 (2021)
It is a crucial yet challenging task to ensure commercial load resilience during high-impact, low-frequency extreme events. In this paper, a novel safe reinforcement learning (SRL)-based resilient proactive scheduling strategy is proposed for commerc
Publikováno v:
Structural Health Monitoring. 20:3113-3122
Until now, there is no effective method to detect the early weak structural damage of the aero engine intershaft bearing. In this article, an online method based on acoustic emission technology is used to detect the early weak structural damage of ae
Publikováno v:
IEEE Transactions on Smart Grid. 10:1577-1587
In this paper, we propose a new framework for the optimal virtual power plant (VPP) energy management problem considering correlated demand response (CDR). Our objective is to minimize the VPP operating cost while maintaining the power quality of the