MW-rescheduling based on eigen sensitivities to enhance voltage security using DE

This paper proposes a methodology for enhancement of voltage stability margin by rescheduling of MW generation based on eigen sensitivity accounting stability constraints using DE technique. If the reactive power controls variables are exhausted, then active power controls variables are used to enhance static voltage stability limits. Under heavily stressed condition active power control variables are coupled with the voltage magnitude and system is protected from voltage collapse problem. Minimum eigen value of load flow Jacobian is selected as a proximity indicator. Minimum eigen value of load flow Jacobian is obtained using continuation power flow method. Minimum eigen value of load flow Jacobian has been optimized using Differential Evolution (DE). Developed algorithm accounts inequality constraints not only in present operating conditions (after active power generation rescheduling) but also for predicted next interval generation (with active power generation rescheduling). Proposed methodology has been implemented on IEEE 6-bus test system. Performance of the DE has been compared with Genetic Algorithm (GA) and Gradient Search (GS) technique based on statistical inference. Simulation results have been obtained which confirm that the proposed methodology provide considerable mitigation in the active power generation rescheduling.