Voltage Regulation Using Artificial Neural Network Controller for Electric Spring in Hybrid Power System
Keywords:
smart grid, artificial neural network, renewable energy sources, electric spring, power stabilityAbstract
A new smart grid device, the electric spring (ES), was previously used to ensure power and voltage stability in a poorly stand-alone/regulated renewable energy source powered (RES) system. The variable energy generation caused by changes in the environmental condition of RES in the network produces power quality issues and other technical difficulties. A demand-side management strategy has been proposed that involves controlling voltage and power and also installation of the ES using non-critical loads (NCL) and implementation of an artificial neural network (ANN) controller is discussed in this paper. The ANN controller results are compared with conventional controller in the MATLAB Simulink software. This control method would be capable of providing voltage support and power balancing for the critical loads (CL), such as the security system. The improved control system provides novel potential for the ES to be used to a greater extent by ensuring power and voltage stability and enhancing power quality within micro - grid powered by renewable energy.
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