AUTHORS: M. Kumari, S. Swapnil, R. Ranjan, V. R. Singh
Download as PDF
ABSTRACT: In conventional load flow analysis, the branch resistances of the test system are considered fixed, despite of the fact that they are temperature and weather conditions dependent. For accurate calculation of power losses and to improve the efficiency of load flow solutions, the effect of ambience conditions on branch resistance should be considered. In this paper, an attempt has been made to incorporate a weather condition while solving radial distribution systems and a modified load flow algorithm is presented that is weather sensitive. This has been tested on Several IEEE RDS system. The results are compared with conventional load flow method and a noticeable change in the active power loss and node voltages were observed when Resistance is considered as a fixed parameter than weather sensitive.
KEYWORDS: Conventional load flow analysis(CLFA), radial distribution system, Weather sensitive load flow analysis(WSLFA).
REFERENCES:
[1] J.Nanda , M.S.Srinivas, M.Shma, S.S.Dev and L.L.Lai, “New Findings on Radial Distribution System Load Flow Algorithms” IEEE conference, 2000 pp.1157-1161
[2] B. Venkatesh and R. Ranjan, “ Data structure for radial distribution system load flow analysis”, IEE Prociding -Gener. Trans. Distrib. Vol.150. No 1. January 2003.
[3] T. Thakur and Jaswanti Dhiman, “A New Approach to Load Flow Solutions for Radial Distribution System”, IEEE conference, 2006.
[4] G. W. Chang, S. Y. Chu and H. L. Wang, “An Improved Backward/Forward Sweep Load Flow Algorithm for Radial Distribution Systems” IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 22, NO. 2, MAY 2007, pp 882-884.
[5] Robert A. Maraio and Stephen D. FOSS, “effect of variability in weather conditions on conductor temperature and the dynamic rating of transmission lines”, IEEE Transactions on Power Delivery, Vol. 3, No. 4, October 1988,pp.1832-1841.
[6] Hadi Banakar, Natalia Alguacil and Francisco D. aliana,“Electrothermal Coordination Part I: Theory and Implementation Schemes,” IEEE Transactions on Power Systems, Vol. 20, NO. 2, MAY 2005, pp. 798-805.
[7] Natalia Alguacil, M. Hadi Banakar,and Francisco D. Galiana, “Electrothermal Coordination Part II: Case Studies,” IEEE Transactions on Power Systems, Vol. 20, NO. 4, November 2005,pp.1738-1745.
[8] Marija Bockarjova and Goran Andersson, “Transmission Line Conductor Temperature Impact on State Estimation Accuracy,” Power Tech, 2007 IEEE Lausanne, Switzerland.
[9] S.Frank, J. Sexauer, and S. Mohagheghi, “Temperature Dependent Power Flow,” IEEE Trans. Power Syst., vol. 28, pp. 4007-4018, Oct. 2013
[10] J.R. Santos, A. G!omez Exposito and F. Parreno Sanchez, “Assessment of conductor thermal models for grid studies,” IET Gener. Transm. Distrib., Vol. 1, No. 1, January 2007, pp.155-161.
[11] IEEE Standard for Calculating the CurrentTemperature of Bare Overhead Conductors, IEEE Std. 738, 2006.
[12] Qin Gao, Zhinong Wei, Guoqiang Sun, Yonghui Sun, and Haixiang Zang, “Temperature- Depended Optimal Power Flow Based on Simolified Interior Point Method,” 5th international conference on Electric Utility Deregulation and Restructuring and Power Technologies, nov. 26-29, 2015, pp 765-769.
[13] R. Ranjan and D. Das, “Simple and Efficient Computer Algorithm to Solve Radial Distribution Networks,” Electric Power Components and Systems, 31:95–107, 2003.
[14] Mahdi Mozaffari Legha , Hassan Javaheri and Mohammad Mozaffari Legha,”Optimal Conductor Selection in Radial Distribution Systems for Productivity Improvement Using Genetic Algorithm”, Iraq J. Electrical and Electronic Engineering, Vol.9 No.1 , 2013.
[15] H.T. Jadhav and P.D. Bamane , “Temperature dependent optimal power flow using g-best guided artificial bee colony algorithm,” Electrical Power and Energy Systems 77 (2016) 77–90, pp.77-90.
