Masoud Dashtdar, M. S. Nazir, S. M. S. Hosseinimoghadam, M. Bajaj, S. B
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Improving the Sharing of Active and Reactive Power of the Islanded Microgrid Based on Load Voltage Control
ABSTRACT In this paper, a new control method is proposed to regulate the critical load’s voltage at the nominal value for low-voltage microgrids. So that, without telecommunication communication, the impedance voltage drop of the connection between the distributed generation (DG) output to the point of common coupling (PCC) for the passing of reactive and active power will be compensated. Where the Q-V droop control method will be modified to adjust the voltage of critical load to the normal value. Also, the sharing of reactive and active powers is accurately based on the DG resources capacity between them. For distinct control of the reactive and active powers and accurately sharing them between sources from the virtual impedance used with control loops of current and voltage. Also, in this method, the circulating current between sources will be minimized. The proposed method to test its effectiveness was performed on two networks, one with two DG units and the other with four DG units. The simulation results show that the proposed method is effective. Graphical abstract
期刊介绍:
Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials