Abstract

Nowadays, regarding high percentage of wind power penetration in power systems, operating conditions of power system necessitates wind turbine generators (WTGs) to contribute in frequency regulation of the system, similar to the conventional units. To reach this goal, active power output of WTGs must be controlled, but this issue distances the operating conditions of WTGs from maximum power point tracking (MPPT) mode. This paper initially presents a completed model of doubly fed induction generator (DFIG) for dynamic studies in frequency stability analysis. Next, a coordinated control strategy to regulate active power command set point (Pcmd) for individual WTGs in a wind farm (WF) and a control strategy to regulate wind power output of DFIG upon operator’s request is presented. Stability is assured under different wind conditions in the proposed control strategy. Individual WTGs set point allocation is performed applying fuzzy logic controller (FLC), while emotional learning based intelligent controller is used in regulation of the coefficient in the DFIG to reach the best stability conditions. Simulation results, performed on a test system consisting of both conventional units and WTGs, validate the effectiveness of the proposed control strategy in comparison with other mentioned solutions.

Highlights

  • Wind power penetration in power systems has been rapidly growing in recent years.Regarding environmental pollution of conventional generating units and economic benefits of fuel savings, there has been a great concern toward renewable energy sources [1]

  • wind turbine generators (WTGs) the power system, WTGs are participating in doubly fed induction generator (DFIG),Recently, both in electrical and mechanicalofparts, forin dynamic studies in frequency stability analysis is be appliedcontrol to reach the system

  • A control strategy to regulate Pcmd for individual WTGs in a wind farm (WF) is introduced which is be applied to reach the goal of frequency stability in the power system

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Summary

Introduction

Wind power penetration in power systems has been rapidly growing in recent years. Regarding environmental pollution of conventional generating units and economic benefits of fuel savings, there has been a great concern toward renewable energy sources [1]. In order to investigate frequency stability in a power system with high percentage of wind power penetration, an exact modeling of WTGs alongside the conventional generating units must first be performed. WTGs and conventional generating units, but most of the extracted models, like the model in [14], are electromagnetic models, which are suitable for power converter control strategies and cannot be employed for frequency stability studies. Speed droop response control is another method of system frequency control, but it requires the wind turbine to preserve generating margin It inevitably distances the operating point from best economic conditions because of high installation cost of storage systems [20]. In order to study the control strategies for frequency stability, a detailed model of DFIG has been extracted. The mechanical part model describes how the torque and speed of the WTG are controlled, according to the control strategy, so that the WTG can participate in the system’s frequency control

Electrical Part
Mechanical Part
Control Strategy
Active Power Control of a DFIG
Fuzzy Logic Controller
Membership
Emotional Learning Based Intelligent Controller
Emotional
Contribution of Wind Power in Frequency Control
Figure
Results and that
Simulation Results and Discussions
Conclusions
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