Optimal Dispatch for Deregulated Power Systems using Fuzzy Logic Decision Making Technique

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2017 by IJETT Journal
Volume-49 Number-2
Year of Publication : 2017
Authors : Amninder Singh, Shivani Mehta, Chintu Rza
DOI :  10.14445/22315381/IJETT-V49P219


Amninder Singh, Shivani Mehta, Chintu Rza "Optimal Dispatch for Deregulated Power Systems using Fuzzy Logic Decision Making Technique", International Journal of Engineering Trends and Technology (IJETT), V49(2),122-127 July 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Economic Dispatch (ED) optimization problem is the most important issue which is to be taken into consideration in power systems. In this paper, the economic dispatch problem has been modified to minimization of network congestion. The problem has been sub divided into two parts: (i) minimization of generation cost and (ii) minimization of network congestion; subject to power balance constraints. As the two sub-problems have conflicting objectives, fuzzy decision making multi-objective optimization has been applied to obtain single optimal solution from conflicting objectives of generation cost and network congestion. To the proposed approach, it has been tested on IEEE 57-bus system. The results describe the capability of the proposed approach of reducing network congestion while maintaining economy in the load dispatch...


[1] Niimura T., and Nakashima T., ?Multi-objective trade-off analysis of deregulated electricity transactions, sciences direct Electrical Power and Energy Systems vol.25 pp. 179–185 (2003).
[2] Prasanna. S.T. and Somasundaram. P., “Fuzzy -Tabu Search Algorithm For Combined Economic and Emission Dispatch, National Systems Conference 4. (NSC 2008), Chennai, India, Dec 2008, pp. 542-547
[3] Gong.-D.and Zhang Y., “Environmental/economic power dispatch is using a hybrid multi-objective optimization algorithm, science direct Electrical Power and Energy Systems vol32, pp. 607–614 (2010).
[4] Bisen D.and Dubey H..M, ?Dynamic Economic Load Dispatch with Emission and Loss using GAMS, Inter. J.of engg. Research & Tech., vol. 1, May 2012.
[5] Ramyasri N.and Reddy G.S., ?Fuzzified PSO for Multiobjective Economic Load Dispatch Problem, International Journal of Research in Engineering and Technology, Volume: 02 Issue: 08, pp. 157-162, (2013).
[6] Palaniyappan S.,Ilayaranimangammal I., ?An Optimistic Solution Technique For Economic Load Dispatch Problem Using Immune Inspired Algorithm? , International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 2, Issue 12, pp. 6191-6195, (2013).
[7] Rajangam K., Arunachalam V.P, Subramanian R., ?Fuzzy Logic Controlled Genetic Algorithm to Solve The Economic Load Dispatch For Thermal Power Station, European Scientific Journal , edition vol. 8, No.7, pp 172-184, (2013). [8] Kothari D.P., Dhillon J.S. ?Power System Optimization, PHI, (2013).
[9] Bhuyan S., Hazarika S. and Bardalai A., “Power Flow Analysis on IEEE 57 bus System using MATLAB, International Journal of Engineering Research & Technology (IJERT) Vol. 3 Issue 8,( 2014).
[10] Anand R. and Balaji V. ?Power Flow Analysis of Simulink IEEE 57 Bus Test System Model using PSAT Indian Journal of Science and Technology, Vol 8(23), (2015).
[11] Kaur G., Kumar D. and Kaur M. ? Multi-Objective Optimization using Linear Membership Function International Conference on Advancements in Engineering and Technology,(2015).
[12] Tejlavwala A. A. ? Load Flow Analysis & Simulation on IEEE 30 Bus System International Journal of Innovative and Emerging Research in Engineering Volume 3, Issue 4, (2016).
[13] Appendix 18, ?Data Sheets for IEEE 57 Bus System pp. 129-134.

Economic Load Dispatch, Fuzzy Decision Making, Multi-Objective Optimization, Network Congestion.