Abstract

The task of provision of the efficiency of fuzzy controller action, regulating the power of shunt reactors, is considered for the stabilization of the voltage values in high-voltage buses, as well as to increase the regime reliability of the power grid. A new algorithm is proposed for controlling the power or inductive resistance of reactor depending on the load resistance, rate of change and voltage on the network buses. The results of the designed experiment based on computer simulation confirm the effectiveness of the proposed control algorithm.

Highlights

  • In extended high-voltage power lines (110-500 kV) and cable systems a shunt reactor (SR) is widely used to compensate for reactive power

  • Despite the effectiveness of the controlled shunt reactor (CSR) operation on the basis of the proposed fuzzy logic controller, the intellectualization of the facility is not fully provided, and in some cases there is a problem with the stabilization of the voltage on the high-voltage buses of the power grid

  • One more parameter was added in the input - the bus voltage, and one more parameter in the output the fuzzy logic controller (FLC) action delay time, which is set depending on the load resistance change rate

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Summary

Introduction

In extended high-voltage power lines (110-500 kV) and cable systems a shunt reactor (SR) is widely used to compensate for reactive power (charging power). Despite the effectiveness of the CSR operation on the basis of the proposed fuzzy logic controller, the intellectualization of the facility is not fully provided, and in some cases there is a problem with the stabilization of the voltage on the high-voltage buses of the power grid. To eliminate these shortcomings, the task of improving and developing of the proposed control algorithm for the fuzzy logic controller (FLC) is assigned. The synthesis and implementation of the FLC with three input and two output parameters for the CSR output power control in the initial fuzzy-probabilistic information environment are considered

Fuzzy control algorithm for CSR
Simulation results
Conclusion
Full Text
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