A new perspective on wind integrated optimal power flow considering turbine characteristics, wind correlation and generator reactive limits

Abstract

The operation of power system is facing newer challenges due to inherent uncertainty in wind generation. The current study fills the gap in the available literature by combining the nature of uncertainty of wind power in terms of varying wind speed correlation, turbine characteristics and generator reactive power limits. Wind speed correlation is modelled using Weibull distribution and Gaussian copula; the turbine characteristics considered are rated power and turbine performance index (TPI); the generators considered are doubly fed induction generators (DFIG) whose reactive power limits are varied based on converter current limits and grid voltage conditions. The above variations are combined to simulate a large number of dependent wind power scenarios which are then incorporated as two wind farms replacing the conventional generators at bus 11 and bus 13 in a modified IEEE 30 bus 6 generator system. Optimal power flow solution is obtained for each of the scenarios and the impact on generation cost, emission, losses, capacity factor and voltage profile is investigated. Another novelty in this work is computation of voltage violation index (VVI) for varying correlation and turbine characteristics when the system is subjected to contingency states of load increase, line outage and their combination.