Journal of Jilin University(Engineering and Technology Edition) ›› 2025, Vol. 55 ›› Issue (7): 2243-2250.doi: 10.13229/j.cnki.jdxbgxb.20231056

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RAMS assessment approach of self-consistent energy system in highway service areas

Yan-bo LI1(),Jing-yuan WANG1,Yuan-yuan Chen2,Shao-feng CHENG3,Hao-nan LYU1,Jun-shuo CHEN1()   

  1. 1.School of Energy and Electrical Engineering,Chang'an University,Xi'an 710064,China
    2.Henan Transportation Investment Group,Zhengzhou 450000,China
    3.Air Ammunition Research Institute,China North Industries Group Corporation (Norinco Group),Harbin 150030,China
  • Received:2023-10-07 Online:2025-07-01 Published:2025-09-12
  • Contact: Jun-shuo CHEN E-mail:ybl@chd.edu.cn;jsch@chd.edu.cn

Abstract:

The promotion of self-consistent energy systems in highway service areas is a crucial initiative for achieving a dual-carbon strategy. However, the assessment of the resilience and energy efficiency of self-consistent energy systems in service areas remains a pressing challenge. This paper proposes an approach for assessing self-consistent energy systems in highway service areas. We analyzed the structure and characteristics of self-consistent energy systems, considering key indicators such as reliability, availability, maintainability, and safety. Subsequently, we established an assessment model and designed assessment strategies. In addition, the weights of various indicators were determined using the entropy weight-TOPSIS method, while the weights of system attributes were determined using an enhanced AHP-VIKOR method. We established a novel multi-criteria comprehensive assessment framework. Through analysis of comparison, the validity and rationality of the method system are verified by computing a self-consistent energy system in a service area as an example.

Key words: engineering of communication and transportation system, self-consistent energy system, highway service area, multi-criteria assessment framework, evaluation of reliability, availability, maintainability,safety

CLC Number: 

  • U491.8

Fig.1

Relationship between electrical model and RAMS indicators"

Fig.2

Energy output ratio of self-consistent energy system"

Fig.3

Wind and solar power curtailment rate"

Table 1

Assessment scores of self-consistent energy system"

月份HΔPw,tΔPs,tΔPL,tMTBFAVRWECRRSECRRREρS,WMTTRMCTRλFDλFA
1月0.4230.7500.5000.9440.9660.4380.5190.9630.6670.9630.0830.9360.9840.996
2月0.5770.8250.6070.8330.9590.6320.5560.9440.6670.9630.2760.7620.9850.995
3月0.79710.6790.5560.9450.8340.6110.9070.6670.9630.4640.3240.9840.995
4月0.6850.8500.7860.5000.9440.8030.6850.8150.8330.9820.5360.2240.9830.992
5月0.5570.7750.8570.6670.9230.6630.7040.778110.4340.1190.9820.992
6月0.4000.67510.9440.9390.5140.7410.722110.5960.2570.9830.992
7月0.3080.5250.85710.9470.4220.7410.7590.8330.9820.5680.3030.9810.990
8月0.4520.5000.8210.9440.9360.4060.7220.796110.6940.2480.9810.992
9月0.6810.5250.7860.8330.9440.6480.6850.8890.8330.9820.7490.1120.9820.993
10月0.8650.7000.5710.5560.9360.7820.6480.9630.8330.9820.6110.2450.9850.995
11月0.6920.7750.5360.7220.9390.6310.5560.9820.50.9440.3450.5560.9860.995
12月0.4510.8000.50010.0510.5120.50010.50.9440.1210.9080.9860.996

Table 2

Reliability comprehensive evaluation matrix"

ΔPw,tΔPs,tMTBFΔPL,t
ΔPw,t1131/5
ΔPs,t1131/5
MTBF1/31/311/5
ΔPL,t5551

Table 3

Maintainability comprehensive evaluation matrix"

λFDλFAMTTRMCTR
λFD1355
λFA1/3155
MTTR1/51/511
MCTR1/51/511

Table 4

Safety comprehensive evaluation matrix"

ΔPL,tΔPs,tΔPw,tH
ΔPL,t1335
ΔPs,t1/3113
ΔPw,t1/3113
H1/51/31/31

Table 5

Availability comprehensive evaluation matrix"

ΔPs,wAVRWECRRSECRRRE
ΔPs,w17553
AV1/711/31/31/5
RWECR1/53111/5
RSECR1/53111/5
RRE1/35551

Fig.4

RAMS assessment scores of self-consistent energy system"

Table 6

Comparison of results from different methods"

方 法RAMS
本文方法0.565 470.417 930.395 040.375 48
AHP0.807 840.775 650.525 920.652 53
TOPSIS法0.637 010.530 910.487 6930.487 69
熵权法0.250.200.250.25
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