Abstract
In order to alleviate the problem of low proportion of new energy absorption in microgrids and reduce the operating cost of the system, this paper proposes an optimal dispatching method of microgrids considering new energy consumption. Firstly, a wind–solar diesel-storage microgrid model is established by combining data on wind energy, solar energy resources, and local loads in a specific region. Secondly, subsystems, including multiple distributed energy resources, are modeled and analyzed. Then, the cost and renewable energy absorption rate are taken as the objective function and their constraints are determined, and the particle swarm algorithm is used to solve the multi-objective. Finally, the capacity optimization and dispatch of the microgrid system, which includes wind, solar, diesel, gas, and energy storage, are obtained. This article also proposes an improved Particle Swarm Optimization (PSO) algorithm that exhibits better convergence properties compared to existing methods. The enhanced algorithm aligns with the rapid scheduling of individual microgrid units discussed in this paper, ensuring system economics while facilitating the integration of new energy sources. The effectiveness of the proposed method is verified with examples.
Sign-in/Register to access full text options 
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.
