Determination of maximum load margin using fuzzy logic

• Published in: International journal of electrical power & energy systems 2013-11, Vol.52, p.231-246
• Main Authors: Mallick, Sourav, Acharjee, P., Ghoshal, S.P., Thakur, S.S.
• Format: Article
• Language: English
• Subjects: Applied sciences; Arrays; Controllers; Decoupling properties; Electric power generation; Electrical engineering. Electrical power engineering; Electrical machines; Electrical power engineering; Exact sciences and technology; Fuzzy logic; Load margins; Maximum load margin; Operation. Load control. Reliability; Operators; Power flow; Power networks and lines; Regulation and control; Security; Sparse constant array
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2013.03.033

•The exposition of methodology of the techniques has been revised in the modified paper.•The constructions of membership functions of different schemes have been included.•The convergence criterion has been clearly explained the revised paper.•AC power flow model has been chosen in the revised paper.•Recent references are included. In the modern power systems, maximum load margin (MLM) plays an important role from the point of view of system stability. The knowledge of MLM helps the system operator to take proper decisions regarding load margin. In this paper, three new schemes using Fuzzy Logic (FL) is developed along with a new formation of sparse constant array. The proposed schemes are tested on IEEE 5-bus, 14-bus, 30-bus, 57-bus and 118 bus test systems under different practical security constraints. The iterative process can be started with random initialization using proposed FL schemes which is not possible using N–R technique. The results are compared with the same of Newton–Raphson (N–R) method technique and the standard fuzzy logic controllers. The comparison indicates the superiority of proposed FL schemes over traditional N–R technique.