Zhang, Y.; Yan, S.; Yin, W.; Wu, C.; Ye, J.; Wu, Y.; Liu, L. HOMER-Based Multi-Scenario Collaborative Planning for Grid-Connected PV-Storage Microgrids with Electric Vehicles. Processes2023, 11, 2408.
Zhang, Y.; Yan, S.; Yin, W.; Wu, C.; Ye, J.; Wu, Y.; Liu, L. HOMER-Based Multi-Scenario Collaborative Planning for Grid-Connected PV-Storage Microgrids with Electric Vehicles. Processes 2023, 11, 2408.
Zhang, Y.; Yan, S.; Yin, W.; Wu, C.; Ye, J.; Wu, Y.; Liu, L. HOMER-Based Multi-Scenario Collaborative Planning for Grid-Connected PV-Storage Microgrids with Electric Vehicles. Processes2023, 11, 2408.
Zhang, Y.; Yan, S.; Yin, W.; Wu, C.; Ye, J.; Wu, Y.; Liu, L. HOMER-Based Multi-Scenario Collaborative Planning for Grid-Connected PV-Storage Microgrids with Electric Vehicles. Processes 2023, 11, 2408.
Abstract
Microgrid is one of the important ways to accommodate distributed PV generation. However, the optimal planning scheme of microgrids is closely related to solar resources, load characteristics, and the key components of microgrid systems. This paper uses HOMER software to conduct collaborative planning for grid-connected PV-storage microgrids with electric vehicles in multiple scenarios. Specifically, we construct a multi-scenario capacity optimization model for PV generation, energy storage, and converters, considering both the cleanliness and economic performance of microgrids. The performance is quantified using indices such as net present cost, levelized cost of electricity, and carbon dioxide emission under multiple scenarios. Finally, we conduct extensive case studies on a business park in Wuhan, China, to compare and discuss the planning performance under multiple scenarios, as well as sensitivity analysis with specific cases.
Keywords
Collaborative planning; electric vehicles; grid-connected PV-storage microgrid; HOMER simulation; multiple scenarios
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
