|Table of Contents|

Capacity configuration of microgrid in off-grid accessible service area considering variable load(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2024年5期
Page:
126-140
Research Field:
交通能源融合技术专题
Publishing date:

Info

Title:
Capacity configuration of microgrid in off-grid accessible service area considering variable load
Author(s):
ZHANG Yi-pu;  JIN Yu-zhe;  KE Ji;  RU Feng;  ZHANG Cheng-shuo
(School of Energy and Electrical Engineering, Chang'an University, Xi'an 710064, Shaanxi, China)
Keywords:
traffic engineering;  integration of transportation and energy;  electric vehicle load;  Monte Carlo;  highway;  microgrid;  capacity configuration
PACS:
U491.11
DOI:
10.19721/j.cnki.1671-8879.2024.05.011
Abstract:
To promote the integration of transportation and energy and ensure the stable power supply for highways in remote areas, the proper configuration of microgrid capacity was deemed crucial. A probability model for highway electric vehicle travel trajectories was established considering traffic flow on the road network. Initial and charging battery capacities were extracted using the Monte Carlo method, and the spatiotemporal distribution of electric vehicle loads was predicted by integrating factors such as temperature, travel habits, and different vehicle energy consumption levels. Based on the load demands of off-grid highway service areas and local natural endowments, a planning model targeting the minimum probability of power shortages was developed. Constraints like new energy output, site limitations, energy self-consistency, and extreme weather were considered to quantitatively analyze the impacts of vehicle OD(origin-destination)matrices, states of charge SOC, and typical days with varying traffic volumes and temperatures on capacity configuration. Theresults show that the average degree of the OD matrix significantly affects the charging load. A more balanced OD matrix results in a lower electric vehicle charging load, while an imbalanced OD matrix significantly increases the load. Additionally, the initial states of charge SOC0 directly impacts the charging load, a higher SOC0 reduces the charging load, while a lower SOC0 increases it. Charging loads exhibit an increasing trend on working days, weekends, and holidays, with weekend loads being 12.5% higher than on working days and holiday loads 20% higher. Due to higher heating energy consumption in winter compared to cooling in summer and scarce wind and solar resources, larger capacity equipment is needed in winter to ensure stable power supply. The microgrid capacity configuration method proposed can effectively optimize power supply and meet the stability requirements of off-grid areas, ensuring that the load for primary and secondary levels is met, with the tertiary load shortage rate not exceeding 0.02% and self-consistency exceeding 90%, thus meeting power supply standards and green requirements and providing a reference for the application of new energy in the transportation sector.8 tabs, 16 figs, 31 refs.

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Last Update: 2024-10-20