A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources

Srinivas Singirikonda,Y.P Obulesu

doi:10.14710/ijred.9.1.43-51

Abstract

In this paper, a novel Q/P droop control strategy for regulating the voltage and frequency in Standalone micro grid with multiple renewable sources like solar and wind is presented. The frequency and voltage control strategy is applied to a Standalone micro grid with high penetration of intermittent renewable generation system. Adaptive Neuro-Fuzzy logic Interface system (ANFIS) controller is used for frequency and voltage control for Renewable generation system. Battery energy storage system (BESS) is used to generate nominal system frequency instead of using the synchronous generator for frequency control strategy. A synchronous generator is used to maintain the state of charge (SOC) of the BESS, but it has limited capacity. For Voltage control strategy, we proposed reactive power/active power (Q/P) droop control to the conventional reactive power controller which provides voltage damping effect. The induced voltage fluctuations are reduced to get nominal output power. The proposed model is tested on different cases and results show that the proposed method is capable of compensating voltage and frequency variations occurring in the micro grid with minimal rated synchronous generator. ©2020. CBIORE-IJRED. All rights reserved

Highlights

Micro-grids operating in standalone mode are more commonly exposed to variation in voltage and frequency
In an isolated power system, the diesel generator based on a synchronous generator which is used to generate nominal system frequency and voltage with the help of Adaptive Neuro-Fuzzy Interface system (ANFIS)
To mitigate the problems of diminishing voltage and frequency fluctuations, Adaptive Neuro Fuzzy Interface system is used, which has quick response rate compared to PI-Controller

Summary

Introduction

Micro-grids operating in standalone mode are more commonly exposed to variation in voltage and frequency. In case of isolated networks diesel based synchronous machines are used for voltage and nominal frequency control. The pattern recognition and decision making are done by mapping input points to the output using fuzzy logic interface. In an isolated power system, the diesel generator based on a synchronous generator which is used to generate nominal system frequency and voltage with the help of Adaptive Neuro-Fuzzy Interface system (ANFIS). The mapping point of an input to the output using Fuzzy Logic interface provides a basis from which decisions can be made and the patterns discerned. It describes all membership functions, logical operators and If- rules This control strategy is applied specially to penetrate the intermittent Renewable power generation to control the frequency and voltage for stable operation of the system.

Methods

Discussion

Conclusion