Research on Economic Energy Management Strategies for Range-Extended Energy Storage Microgrids

2025-01-7093

01/31/2025

Features
Event
SAE 2024 Vehicle Powertrain Diversification Technology Forum
Authors Abstract
Content
This paper presents the strategy design, development, and detailed simulation of an Energy Management System (EMS) for a range extender energy storage microgrid project. Initially, a microgrid system model including photovoltaic (PV) and energy storage devices was established. Secondly, the Latin Hypercube Sampling (LHS) method was employed to generate possible operational scenarios, and an improved K-means clustering algorithm was used for scenario classification. Subsequently, a series of constraints were constructed for the economic viability of the microgrid to minimize its annualized comprehensive cost, while satisfying power balance and equipment operation. Finally, the microgrid system was simulated and solved using the GUROBI solver, covering cost analyses of the energy storage system and diesel generators under different configurations, as well as the State of Charge (SOC) variations of the energy storage system. The simulation results indicate that, after considering the one-time investment costs of PV, battery cells, and Power Conversion Systems (PCS), the microgrid under different modes can pay back within a few years, while the diesel storage simulation results provide a detailed cost analysis under various diesel generator configurations. These results provide important reference for the planning, design, and economic assessment of microgrids, proving the potential of energy storage microgrids in improving energy efficiency, reducing costs, and promoting the use of renewable energy.
Meta TagsDetails
DOI
https://doi.org/10.4271/2025-01-7093
Pages
11
Citation
Hua, Y., Jin, Z., Huang, H., and Wang, Z., "Research on Economic Energy Management Strategies for Range-Extended Energy Storage Microgrids," SAE Technical Paper 2025-01-7093, 2025, https://doi.org/10.4271/2025-01-7093.
Additional Details
Publisher
Published
Jan 31
Product Code
2025-01-7093
Content Type
Technical Paper
Language
English