Current Control Technique For Grid Connected Distributed Generation (DG) Resources Using ANN controller

Abstract

This paper deals with the current controlling method based on Artificial Neural Network technique. In this proposed controlling strategy compensation for active, reactive powers will be done and harmonic load current components compensation will be done during connection of DG link to the grid. So that this paper is a multi objective control technique. With this strategy the integration of distributed generation (DG) resources to the electrical power network will get much importance. This proposed control method does not need a phaselocked loop in control circuit and has fast dynamic response in providing active and reactive power components of the grid-connected loads. The transformed variables are used in control of the voltage source converter as the heart of the interfacing system between DG resources and utility grid. Using the compensation current references from the sensed load currents of DG, the active, reactive, and harmonic load current components will be compensated with fast dynamic response, thereby achieving sinusoidal grid currents in phase with load voltages, while required power of the load is more than the maximum injected power of the DG to the grid. The effectiveness of the proposed control technique with ANN controller in DG application are presented using through matlab / simulink software under steady-state and dynamic operating conditions.

Authors and Affiliations

Mr. S. Sai Seshu Babu| P.G student, in Dept. of EEE BVC Institute Of Technology And Science, Amalapuram, A.P, Mr. S. Shanmukha Sriram| ASST.PROF in Dept. of EEE BVC Institute Of Technology And Science, Amalapuram, A.P

Keywords

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  • EP ID EP16684
  • DOI -
  • Views 341
  • Downloads 11

How To Cite

Mr. S. Sai Seshu Babu, Mr. S. Shanmukha Sriram (2015). Current Control Technique For Grid Connected Distributed Generation (DG) Resources Using ANN controller. International Journal of Science Engineering and Advance Technology, 3(12), 1261-1269. https://europub.co.uk/articles/-A-16684