Augment dynamic and transient capability of DFIG using optimal design of NIOPID based DPC strategy

Abstract

To exactly control the active and reactive power of Doubly Fed Induction Generator (DFIG), a robust controller along with an effective strategy should be applied. Since the generated power by DFIG depends on the wind speed, both active and reactive power has been essentially followed out according to the entrance wind in the steady state and turbulent conditions. Hence, the Non‐Integer Order Proportional Integral Derivative (NIOPID) controller based Direct Power Control (DPC) strategy is here introduced to simultaneously minimize the deviation of both the active and reactive power so that precise tracking of these powers to be attained. Toward this subject, both the dynamic and transient stability of DFIG have been scheduled as main targets of this paper. Due to multi‐objective nature of the design problem, a multi‐objective technique is assigned to figure out the optimal result. Considering the high performance of Multi Objective Particle Swarm Optimization (MOPSO) for unraveling the nonlinear objectives, it has been employed to reveal the optimal parameters NIOPID controller. To well verify and validate the performance of NIOPID controller, it has been evaluated under the affected power system caused by short circuit and flicker incidents. The simultaneous coordination scheme based on MOPSO has been withal scheduled with respect to three aforementioned operating conditions. To sum up, the simulation results have transparently validated the dynamic and transient performance of NIOPID based DPC. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 1491–1502, 2018

Steady‐state performance analysis for optimal operation determination of doubly fed induction motors

“…In recent years, many new control methods have been proposed to improve the transient and steady-state performance of DFIMs [13,14]. The field-oriented control (FOC) and direct power control (DPC) methods for the improvement of dynamic-transient performance of DFIMs that operate as wind generators are presented in [15] and [16], respectively. In other studies conducted in [17] and [18], control methods based on fuzzy logic and grey wolfs optimization (GWO) algorithm are used to optimally design the DFIM controller, respectively.…”