scholarly journals An efficient differential equation load flow method to assess dynamic available transfer capability with wind farms

Author(s):  
Mostafa Eidiani
Author(s):  
Dr. Paramasivam Venkatesh ◽  
Ramachandran Gnanadass ◽  
Dr.Narayana Prasad Padhy

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.


2010 ◽  
Vol 7 (2) ◽  
pp. 269-289
Author(s):  
Chintham Venkaiah ◽  
Mallesham Dulla

In power system deregulation, the Independent System Operator (ISO) has the responsibility to control the power transactions and avoid overloading of the transmission lines beyond their thermal limits. To achieve this, the ISO has to update in real-time periodically Available Transfer Capability (ATC) index for enabling market participants to reserve the transmission service. In this paper Static Security based ATC has been computed for real-time applications using three artificial intelligent methods viz.: i) Back Propagation Algorithm (BPA); ii) Radial Basis Function (RBF) Neural network; and iii) Adaptive Neuro Fuzzy Inference System (ANFIS). These three different intelligent methods are tested on IEEE 24-bus Reliability Test System (RTS) and 75-bus practical System for the base case and critical line outage cases for different transactions. The results are compared with the conventional full AC Load Flow method for different transactions.


2013 ◽  
Vol 448-453 ◽  
pp. 2524-2529
Author(s):  
Guo Qing Li ◽  
Fang Jing Zhang ◽  
Hou He Chen

As the number of wind generation facilities in the power system is fast increasing, the research on available transfer capability (ATC) calculation with wind farms has great significance to system operation. With consideration of the uncertainty of the wind powers output, this paper proposes a probability computing method to study the ATC in wind power integrated system. This computing method of ATC is evaluated on non-sequential Monte Carlo simulation, and the ATC of every system state in random sampling is calculated by interior point method. The result shows that the model and algorithm is correct and effective.


2014 ◽  
Vol 573 ◽  
pp. 340-345
Author(s):  
V. Bhavithira ◽  
A. Amudha

Abstract. This paper discusses about the available transfer capability by using Unified Power Flow Controller-UPFC. Flexible AC Transmission System-FACTS devices helps to reduce power flow on overloaded lines, thereby increasing the loadability of the power system, transient stability, damp out oscillations and also provide security and efficient transmission system. UPFC is one of the most versatile FACTS controllers. It is used for both shunt and series compensation. Newton Raphson method is used to calculate load flow for IEEE 30 bus system. By optimally placing the FACTS device Available Transfer Capability-ATC is improved. The ATC is calculated by using AC Power Transfer Distribution Factor- ACPTDF and this method is based on the sensitivity approach. Imperialistic Competitive Algorithm (ICA) is used to find optimal location of placing UPFC to improve ATC.


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