Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Naishan Hang"'
Publikováno v:
IEEE Access, Vol 6, Pp 27018-27027 (2018)
The optimal power flow (OPF) model is a central optimization problem in power system network. In this paper, we propose a novel approach to solve the OPF problem that has a convex objective function and non-convex feasible domain due to the constrain
Externí odkaz:
https://doaj.org/article/4a9dadef4cba494993e74b4a384b12d9
Autor:
Naishan Hang, Mingrui Mo
Publikováno v:
Journal of Electrical Engineering & Technology. 14:1429-1440
This paper proposes an improved version of the Fixed-point iterative method to solve the fault problems in three-phase power systems by phase-coordinates. The proposed method has non-expansive characteristic using for fault analysis and calculation,
Publikováno v:
IEEE Access, Vol 6, Pp 27018-27027 (2018)
The optimal power flow (OPF) model is a central optimization problem in power system network. In this paper, we propose a novel approach to solve the OPF problem that has a convex objective function and non-convex feasible domain due to the constrain
Publikováno v:
IEEE Access. 6:27018-27027
The optimal power flow (OPF) model is a central optimization problem in power system network. In this paper, we propose a novel approach to solve the OPF problem that has a convex objective function and non-convex feasible domain due to the constrain
Autor:
Naishan Hang, Wenling Lu
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 12:31-37
Multiobjective short-term hydrothermal scheduling problems solved by the linear weighted sum method (LWSM) have multiple solutions with different weight coefficients. To compare the solutions of the formulated multiobjective hydrothermal model, we us
Publikováno v:
2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT).
In recent years, interior point method combined with linear conic programming (LCP) has become a hot topic of solving optimal power flow (OPF) problem in power system. However, interior point method has been proved to be inefficient for a large-scale
Publikováno v:
2011 International Conference of Information Technology, Computer Engineering and Management Sciences.
A novel multi-objective optimization problem with dynamics water spillage strategy for short-term hydrothermal scheduling (MSTHS) was described in this paper. Data envelopment analysis (DEA) and electromagnetism-like magnetism(EM) based hybrid algori