Control of Renewable Power Generation Systems by using Fuzzy Logic Controller Based Synchronous Power Controller

Authors

  • B. Charan Kumar Reddy  PG Scholar, Department of EEE, Sri Venkatesa Perumal College of Engineering &Technology, Andhra Pradesh, India
  • M. Chethan  Assistant Professor, Department of EEE, Sri Venkatesa Perumal College of Engineering &Technology, Andhra Pradesh, India
  • T. Madhuranthaka  HOD, Department of EEE, Sri Venkatesa Perumal College of Engineering &Technology, Andhra Pradesh, India

Keywords:

DC-AC power conversion, Inertia emulation, Power generation control, Synchronous power controller, Fuzzy Logic Controller, PI Controllers, Solar Generation, Swing Equation, and Grid Code

Abstract

In this paper presents the expanding measure of renewable power generation systems is a testing issue for the control and operation of the electrical systems. One of the principle issues is their absence of idleness, which is turning into a more prominent issue as much as the share of the power plants in view of customary synchronous generators gets decreased. In such manner the new system codes request that these plants give new functionalities, for example, the frequency support and dormancy imitating. A synchronous power controller for system connected converters is proposed as a decent answer for the renewable generation systems with energy storage. It gives latency, damping and adaptable droop qualities. Not quite the same as the reliable replication of the swing condition of synchronous machines, an option control structure is proposed, by which the damping and inherent droop slope can be series freely to meet the requirements in both progression and frequency directions.

References

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Published

2018-07-30

Issue

Section

Research Articles

How to Cite

[1]
B. Charan Kumar Reddy, M. Chethan, T. Madhuranthaka, " Control of Renewable Power Generation Systems by using Fuzzy Logic Controller Based Synchronous Power Controller, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 9, pp.143-151, July-August-2018.