Abstract
This paper proposes a microgrid (MG) system integrating distributed renewable energy (RE) and hybrid energy storage system (HESS), which is an effective solution of power supply for remote areas and islands. The distributed generation (DG) unit of the system includes photovoltaic (PV) power and wind power, and the HESS includes lithium-ion (Li-ion) battery, super capacitor (SC) and compressed air energy storage (CAES). In this study, the Confidence Interval Method (CIM) is used to establish the wind power output and PV power output model, and the DG power curves under different confidence levels are calculated. Taking the minimum annual total cost of the system as the optimization objective, the capacity allocation of the wind-PV-Li-ion battery system is optimized by using the genetic algorithm (GA) tool. Based on the quadratic moving average filtering method, the energy storage power is divided into different frequencies, and the rated power, rated capacity and initial state of charge (SOC) of three kinds of ESSs are calculated. The results show that the wind-PV-HESS can better meet the power demand of users with a good economic performance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
