Smart grid security assessment using intelligent technique based on novel chaotic performance index

Abstract

Smart grid networks to deliver power, are futuristic well planned, designed and managed systems in real time. The potential threat to the dynamic security of such systems is chaotic nature of real power flow on transmission lines. Smart grid needs to be secure in static and dynamic sense under contingent conditions. At present static security assessment is based on monitoring of conventional mega-watt performance index along with other voltage and current related performance indices. This paper proposes an intelligent technique based on novel interleaved performance index. Proposed technique uses interleaving of two features. One feature is related to computation of Lyapunov Exponent for chaotic behavior related to the divergent trend of power flow increase and other related to conventional megawatt performance index for overload monitoring. Novel proposed index is named as interleaved Mega Watt-Lyapunov Exponent performance index. Chaos quantification and overload of real power flow on transmission lines, both can be evaluated using proposed index. This paper presents formulation and computation of novel proposition for smart grids. Benchmark model with computed values of novel performance index under different contingencies and load profiles along with a comparison to conventional index, is demonstrated and discussed at length in the paper.