Evaluation of the effect of wind-operated power plants on the total inertia of an electric power system

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Abstract

This paper is aimed at determining the effect of a variable number of Type 4 wind turbines in the total generation of the corresponding electric power system on the parameters of an asynchronous regime of such a system. Processes occurring in an electric power system were simulated using an all-mode real-time simulation complex of electric power systems constituting a multi-processor software and hardware system. A model of an electric power system was developed, which, in addition to conventional power sources, included a wind-operated power plant combining a variable number of Type 4 wind turbines. The automatic control system of the simulated wind-operated power plant comprised a control loop (in terms of active power and voltage) equipped with an additional regulator of virtual inertia. An analysis of changes in the parameters of the asynchronous regime using a virtual inertia algorithm showed that the time of its advancement along the protected line was reduced maximally by 0.1 s. However, the time of the first cycle of asynchronous motion between two generators in the post-emergency regime increased by 2 times. Thus, for a wind-operated plant with a capacity of 100 MW, the time of asynchronous motion was 0.36 sec and 0.74 sec without using and when using a virtual inertia algorithm, respectively. It was experimentally confirmed that an increase in the power of a wind-operated power plant leads to a decrease in both the time of advancement of the asynchronous regime and the time, during which conventional generators transit from the synchronous regime. The latter was evidenced by the effect of Type 4 wind turbines on the value of total inertia, which ranged from 8.746 to 5.478 s. A study of the virtual inertia algorithm confirmed its impact on the electromechanical transient processes in power systems. The most favourable effect was noted at a virtual inertia value of 2 s and a wind-operated power plant capacity of 100 MW.

About the authors

I. A. Razzhivin

National Research Tomsk Polytechnic University

Email: lionrash@tpu.ru

N. Yu. Ruban

National Research Tomsk Polytechnic University

Email: rubanny@tpu.ru

V. E. Rudnik

National Research Tomsk Polytechnic University

Email: fordlp006@mail.ru

A. S. Gusev

National Research Tomsk Polytechnic University

Email: gusev_as@tpu.ru

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