Study of power transfer capability of DC systems incorporating AC loads and a parallel AC line

1997 ◽  
Vol 12 (1) ◽  
pp. 426-434 ◽  
Author(s):  
J. Reeve ◽  
E. Uzunovic
Keyword(s):  
Power Transfer ◽  
Transfer Capability

Available Transfer Capability Determination Using Power Transfer Distribution Factors

2004 ◽  
Vol 1 (2) ◽  
Author(s):  
Dr. Paramasivam Venkatesh ◽  
Ramachandran Gnanadass ◽  
Dr.Narayana Prasad Padhy
Keyword(s):  
Open Access ◽  
Load Flow ◽  
Transmission Network ◽  
Power Transfer ◽  
Available Transfer Capability ◽  
Market Participants ◽  
Fair Competition ◽  
Transfer Capability ◽  
Network Capability ◽  
Power Transfer Distribution Factors

Electric power industries throughout the world have been restructured to introduce competition among the market participants and bring several competitive opportunities. A fair competition needs open access and non-discriminatory operation of the transmission network. Open access to the transmission system places an emphasis on the intensive use of the interconnected network reliably, which requires knowledge of the network capability. Available Transfer Capability (ATC) is a measure of the remaining power transfer capability of the transmission network for further transactions. This paper describes the assessment of ATC using AC Power transfer distribution factors (ACPTDFs) in combined economic emission dispatch (CEED) environment. The ACPTDFs are derived using sensitivity based approach for the system intact case and utilized to check the line flow limits during ATC determination. The obtained ATC results are compared with Newton Raphson Load Flow method (NRLF) to justify its accuracy. Simultaneous bilateral and multilateral wheeling transactions have been carried out on IEEE 6, 30 and 118 bus systems for the assessment of ATC. The solutions obtained are quite encouraging and useful in the present restructuring environment.

scholarly journals A Real Distribution Network Voltage Regulation Incorporating Auto-Tap-Changer Pole Transformer Multiobjective Optimization

2019 ◽  
Vol 9 (14) ◽  
pp. 2813 ◽  
Author(s):  
Sayed Mir Shah Danish ◽  
Ryuto Shigenobu ◽  
Mitsunaga Kinjo ◽  
Paras Mandal ◽  
Narayanan Krishna ◽  
...  
Keyword(s):  
Multiobjective Optimization ◽  
Power Systems ◽  
Distribution System ◽  
Distribution Systems ◽  
Voltage Regulation ◽  
Power Transfer ◽  
Dimensional Solution ◽  
Protection Measures ◽  
Transfer Capability ◽  
Tap Changer

A number of studies realized operation of power systems are unstable in developing countries due to misconfiguration of distribution systems, limited power transfer capability, inconsistency of renewable resources integration, paucity of control and protection measures, timeworn technologies, and disproportionately topology. This study underlines an Afghanistan case study with 40% power losses that is mainly pertinent from old distribution systems. The long length of distribution systems, low-power transfer capability, insufficient control and protection strategy, peak-demand elimination, and unstable operation (low energy quality and excessive voltage deviations) are perceived pre-eminent challenges of Afghanistan distribution systems. Some attainable solutions that fit challenges are remodeling (network reduction), networks reinforcement, optimum compensation strategy, reconfiguration options, improving, and transfer capability. This paper attempts to propose a viable solution using multiobjective optimization method of auto-tap-changer pole transformer (ATCTr). The proposed methodology in terms of optimal numbers and placement of ATCTr can be known as a novel two-dimensional solution. For this purpose, a real case of Kabul City distribution system is evaluated. Simulation results indicate the effectiveness of the proposed method in reducing system losses and improving system overall performance. This approach tends to regulate the voltage deviation in a proper and statutory range with minimum number and optimum placement of ATCTrs. The proposed method is simulated using MATLAB® environment to compare and evaluate performance of the proposed network under different situations and scenarios.

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