A comparison of the AC and DC power flow models for LMP calculations

Author(s):  
T.J. Overbye ◽  
Xu Cheng ◽  
Yan Sun
Keyword(s):  
2018 ◽  
Vol 45 (3) ◽  
pp. 198-203 ◽  
Author(s):  
Hale Cetinay ◽  
Saleh Soltan ◽  
Fernando A. Kuipers ◽  
Gil Zussman ◽  
Piet Van Mieghem

2018 ◽  
Vol 5 (4) ◽  
pp. 301-312 ◽  
Author(s):  
Hale Cetinay ◽  
Saleh Soltan ◽  
Fernando A. Kuipers ◽  
Gil Zussman ◽  
Piet Van Mieghem
Keyword(s):  

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1658
Author(s):  
Leandro Almeida Vasconcelos ◽  
João Alberto Passos Filho ◽  
André Luis Marques Marcato ◽  
Giovani Santiago Junqueira

The use of Direct Current (DC) transmission links in power systems is increasing continuously. Thus, it is important to develop new techniques to model the inclusion of these devices in network analysis, in order to allow studies of the operation and expansion planning of large-scale electric power systems. In this context, the main objective of this paper is to present a new methodology for a simultaneous AC-DC power flow for a multi-terminal High Voltage Direct Current (HVDC) system with a generic representation of the DC network. The proposed methodology is based on a full Newton formulation for solving the AC-DC power flow problem. Equations representing the converters and steady-state control strategies are included in a power flow problem formulation, resulting in an expanded Jacobian matrix of the Newton method. Some results are presented based on HVDC test systems to confirm the effectiveness of the proposed approach.


2016 ◽  
Vol 31 (4) ◽  
pp. 1719-1727 ◽  
Author(s):  
Wu Chen ◽  
Xu Zhu ◽  
Liangzhong Yao ◽  
Guangfu Ning ◽  
Yan Li ◽  
...  

Author(s):  
Ashu Verma ◽  
Pradeep R. Bijwe ◽  
Bijaya Ketan Panigrahi

Transmission network expansion planning is a very critical problem due to not only the huge investment cost involved, but also the associated security issues. Any long range planning problem is confronted with the challenge of non-statistical uncertainty in the data. Although large number of papers have been published in this area, the efforts to tackle the above mentioned security and uncertainty issues have been relatively very few, due to the formidable complexity involved. This paper tries to bridge this gap by proposing a technique to tackle these problems. Boundary DC power flow is used to ascertain the worst power flows on the lines. A simple basic binary Genetic algorithm is used to solve the optimization problem as an illustration. Results for two sample test systems have been obtained to demonstrate the potential of the proposed method.


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