Differential Evolution based Multi-objective Optimization of a Deregulated Power Network under Contingent State

Abstract

This paper proposes a methodology to limit the variations in generation cost in a power system under normal and contingent state using Differential Evolution (DE) optimization technique keeping consumer welfare in view. The aim of this proposed methodology is to minimize the deviations of generation cost, during contingency, from a preferred value by rescheduling of the generation with a controlled load curtailment technique and hence relieving the lines from overloading for congestion management. A comparative study between rescheduling with and without load curtailment has also been presented in this paper. Numerical results on test system, namely IEEE 30 Bus System, are presented for illustration purpose and the same has been verified by a well esteemed optimization technique, Particle Swarm Optimization (PSO). The comprehensive simulation results establish that the developed method not only reduces the economic variations of the market but also ensures the voltage stability of the system during contingency.

Static security enhancement using fuzzy particle swarm optimization

“…Fuel cost ($/h) MATPOWER (Zimmerman et al, 2011) 802.20 GA (Devaraj and Yegnanarayana, 2005) 803.05 EP (Somasundaram et al, 2004) 802.4 GA (Narmatha Banu and Devaraj, 2009) 801.7165 DE (Sen et al, 2011) 801.8436 PSO (Sen et al, 2011) 801.8441 PSO (Ahmed et al, 2014) 801.6954 GA (Kumar and Chaturvedi, 2013) 801.96 GA fuzzy (Kumar and Chaturvedi, 2013) 801.21 PSO (Kumar and Chaturvedi, 2013) 800.96 FPSO (Kumar and Chaturvedi, 2013) 800.72 ABC (Rezaei Adaryani and Karmi, 2013) TCSC is included in addition to generation rescheduling to alleviate the line overloads due to line outage 2-5. The LOSI values are calculated using Equation (1) for each branch of the considered system for the selected contingency cases.…”

Linear Sensitivity Analysis and Series Compensation for Transmission Congestion Management

“…The effect of this unavoidable situation may be quite severe as it can cause power flow congestion in the line. Transmission lines have thermal limit of carrying power and if the power flow exceeds that limit, which is quite expected during contingency, the line is said to be congested (Sen S., 2011). To avoid such congestion issues preliminary approach is presented of contingency analysis using linear sensitivity factors for realizing congestion in proposed system.…”