Abstract
With the increasing design requirements of grid-connected microgrid, the capacity configuration of microgrid should not only consider the cost, but also consider other design objectives, uncertainty of renewable energy and load demand. Therefore, a multi-objective function considering annual comprehensive cost and grid dependence is established. The k-medoids method was used to obtain the data and probability of typical and extreme days, which was added into the optimization as uncertain scenes. The Multi-Objective Cuckoo Search algorithm (MOCS) is used to solve the proposed model. Then the obtained non-dominated optimal solution set was treated with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method, which can obtain the optimal compromise solution from the set. The optimal compromise solution is the final configuration of this Wind-PV-Battery microgrid.
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.
