Abstract

ABSTRACTA new dynamic equivalencing method for stability assessment of a grid-integrated wind farm is proposed in this article. The accuracy of the method is validated for a 34-bus system with 28-unit wind farm connected to Indian utility system. This wind farm consists of several wind turbines of two different ratings. The electrical parameters of the equivalent generator are derived from the mathematical model of the squirrel-cage induction generator. The parameters of the equivalent wind-turbine generator are optimized to yield minimum deviation from the detailed system response using genetic algorithm. The small-signal and transient stability responses of the study system with detail wind farm and equivalent model are simulated using MATLAB. Equivalent model eigenvalues are compared to the centre of inertia based detailed system eigenvalue. In addition, the computed eigenvalues and time-domain responses of the proposed equivalent model, detailed wind farm are compared against weighted model proposed earlier. In most of the investigated cases, the average error of dynamic responses between the proposed equivalent and detailed models are less when compared to weighted model. Thus, the large-signal responses of the proposed equivalent model show superior agreement with detailed system response.

Highlights

  • In developing countries like India, the steady state and dynamic operation of the power system are mainly influenced by increased installed capacity of wind generation

  • In the immediate assessment of the stability simulation of such grid integrated wind farm (WF), an accurate single-equivalent model of the WF is significantly needed. Such an equivalent model is useful in carrying out steady state and dynamic simulation studies that form an integral part of power system planning

  • It can be seen that the detail WF is given in Figure 5 which shows 28 numbers of wind-turbine generators (WTGs) arranged in 3 rows

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Summary

Introduction

In developing countries like India, the steady state and dynamic operation of the power system are mainly influenced by increased installed capacity of wind generation. Short- and long-time frame simulations have been taken for comparison and the error between aggregated and detailed models becomes larger if all the WTGs are operated at different operating conditions In this equivalent model, the mechanical input power is assumed to be constant. The method proposed here is based on aggregation technique adopted in [14] In this reference, several induction motors in an industrial power plant are aggregated to yield a single equivalent which is valid for dynamic conditions. Several induction motors in an industrial power plant are aggregated to yield a single equivalent which is valid for dynamic conditions This method is extended to WTG system using SCIG which involves Kron’s reduction technique.

Modelling of synchronous generator and WTG components
Modelling of synchronous generator
Modelling of wind turbine
Modelling of squirrel-cage induction generator
Modelling of wind speed
Modelling of wake effect
Detailed WF system
Weighted model equivalent of wind farm
Wind turbine aggregation
Equivalent generator model electrical parameters
Rs þjX
2: For steady-state condition
Optimization of single-equivalent generator parameters
Small-signal model of the study system and equivalent models
Large-signal analysis of the study system and equivalent models
Case 1
Case 2
Case 3
Average error between study system with detailed WF and equivalent models
Comments on equivalent wind farm model
Conclusion
Disclosure statement
Findings
À C6 Ce
Full Text
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