|Table of Contents|

Source-load interaction-based capacity optimization method of network-source-storage-train for high-speed railway(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:
141-150
Research Field:
交通能源融合技术专题
Publishing date:

Info

Title:
Source-load interaction-based capacity optimization method of network-source-storage-train for high-speed railway
Author(s):
ZHANG Zhe;  SUN Ya-ni;  JIA Li-min
(School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)
Keywords:
traffic engineering;  energy load;  capacity determination;  photovoltaic power generation;  energy storage system;  traction power system;  economic benefits
PACS:
U491
DOI:
10.19721/j.cnki.1671-8879.2024.05.012
Abstract:
To reduce energy consumption and system costs, an optimization method for the fixed capacity of high-speed rail network-source-storage-train systems under photovoltaic(PV)integration conditions was investigated, considering the interaction between energy load in high-speed rail operations and energy system planning. An energy load evaluation method for train groups based on energy-saving operations and train schedules was proposed, taking into account both traction and auxiliary energy demands. Spatiotemporal discretization techniques were employed to reveal the evolution patterns of energy loads in train groups. Additionally, a model was developed to assess the PV power generation potential along high-speed rail lines by utilizing the available energy space near the railway. A capacity optimization model aimed at maximizing economic benefits was established, considering energy transfer among the network, source, storage, and trains. A case study on a section of the Beijing-Guangzhou high-speed rail line was conducted to validate the effectiveness of the proposed model, comparing planning results under four different scenarios. The results show that under energy-saving operations and PV-storage integration, annual operational costs of high-speed rail can be reduced by approximately 4.45 million yuan, with a 6.5% reduction in energy consumption costs and a CO2 emission reduction of 19 072 tons per year. This research systematically establishes an optimization method for PV-based traction power systems, covering energy load evaluation, PV power generation potential assessment, and PV-storage capacity optimization. The proposed approach not only reduces energy costs in high-speed rail operations but also holds significant practical value and scalability for broader applications.2 tabs, 13 figs, 23 refs.

References:

[1] 杨 璠.高速铁路牵引供电系统能耗计算及节能评估[J].铁道运输与经济,2021,43(9):122-128.
YANG Fan.Energy consumption calculation and energy saving evaluation of high speed railway traction power supply system[J].Railway Transport and Economy,2021,43(9):122-128.
[2]艾国乐,郝小礼,刘仙萍,等.高速铁路上空安装光伏系统的节能潜力研究[J].太阳能学报,2023,44(2):409-417.
AI Guo-le,HAO Xiao-li,LIU Xian-ping,et al.Research on energy saving potential of photovoltaic system over high-speed railway[J].Acta Energiae Solaris Sinica,2023,44(2):409-417.
[3]CHEN Z J,JIANG M K,QI L F,et al.Using existing infrastructures of high-speed railways for photovoltaic electricity generation[J].Resources,Conservation and Recycling,2022,178:106091.
[4]DING F,YANG J P,ZHOU Z.Economic profits and carbon reduction potential of photovoltaic power generation for China's high-speed railway infrastructure[J].Renewable and Sustainable Energy Reviews,2023,178:113272.
[5]LI C T,XU C B,LI X M.A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway[J].Journal of Cleaner Production,2020,277:124086.
[6]张 蜇,闫姝蓉,贾利民.考虑碳交易的高铁车站光伏发电潜力分析[J].太阳能,2023(8):20-28.
ZHANG Zhe,YAN Shu-rong,JIA Li-min.Potential analysis of PV power generation in high-speed railway stations considering carbon trading[J].Solar Energy,2023(8):20-28.
[7]李天骥,武晓春.基于BSO的动车组列车节能操纵模式研究[J].铁道运输与经济,2022,44(5):124-130.
LI Tian-ji,WU Xiao-chun.Research on energy-saving operation mode of electric multiple units based on beetle swarm optimization[J].Railway Transport and Economy,2022,44(5):124-130.
[8]WANG K,HU H T,CHEN J Y,et al.System-level dynamic energy consumption evaluation for high-speed railway[J].IEEE Transactions on Transportation Electrification,2019,5(3):745-757.
[9]刘 福,廖启术.电气化铁路牵引负荷预测研究[J].机车电传动,2023(2):142-150.
LIU Fu,LIAO Qi-shu.Research on traction load forecasting of electrified railway[J].Electric Drive for Locomotives,2023(2):142-150.
[10]邬明亮,郭 爱,邓文丽,等.铁路牵引用背靠背光伏发电系统及其消纳能力研究[J].太阳能学报,2019,40(12):3444-3450.
WU Ming-liang,GUO Ai,DENG Wen-li,et al.Research on back-to-back pv generation system for railway traction and its accommodation ability[J].Acta Energiae Solaris Sinica,2019,40(12):3444-3450.
[11]WU M L,GAO Y,DENG W L,et al.Study of PV generation application on AC powered traction system[C]//IEEE.2017 Chinese Automation Congress(CAC).New York:IEEE,2017:1641-1646.
[12]陈金霞.基于RPC控制的光伏并网功率调节器及其控制策略[J].电气传动,2019,49(4):61-66.
CHEN Jin-xia.RPC based on PV grid-connected power conditioner and its control strategy[J].Electric Drive,2019,49(4):61-66.
[13]CARACCIOLO M B,FARANDA R,LEVA S.Photovoltaic applications in railway stations[C]//CIRED.Proceedings of International Conference on Electricity Distribution.Belgium:CIRED,2007:1-4.
[14]MAYER O,LYNASS M,GOMEZ M,et al.Design aspects for high voltage MW PV systems for railway power supply[C]// EUPVSEC.Proceedings of European PV Solar Energy Conference.Amsterdam:EUPVSEC,2014:2876-2879.
[15]张伟秋,程 鹏,张婧妍,等.面向铁路牵引供电网的光伏发电混合电流控制[J].机车电传动,2022(3):45-52.
ZHANG Wei-qiu,CHENG Peng,ZHANG Jing-yan,et al.Hybrid current regulation of photovoltaic power integrated in railway traction power supply system[J].Electric Drive for Locomotives,2022(3):45-52.
[16]廖海朱,胡海涛,黄 毅,等.电气化铁路“源-网-车-储”协同供能系统日前能量优化与调度策略[J].机车电传动,2022(3):1-9.
LIAO Hai-zhu,HU Hai-tao,HUANG Yi,et al.Day-ahead energy optimization and scheduling strategy of “source-network-train-storage” coordinated power supply system for electrified railways[J].Electric Drive for Locomotives,2022(3):1-9.
[17]SENGOR I,KILICKIRAN H C,AKDEMIR H,et al.Energy management of a smart railway station considering regenerative braking and stochastic behaviour of ESS and PV generation[J].IEEE Transactions on Sustainable Energy,2018,9(3):1041-1050.
[18]LIU Y L,CHEN M W,CHENG Z,et al.Robust energy management of high-speed railway co-phase traction substation with uncertain PV generation and traction load[J].IEEE Transactions on Intelligent Transportation Systems,2022,23(6):5079-5091.
[19]ZHONG Z M,ZHANG Y X,SHEN H,et al.Optimal planning of distributed photovoltaic generation for the traction power supply system of high-speed railway[J].Journal of Cleaner Production,2020,263:121394.
[20]XU P J,CORMAN F,PENG Q Y,et al.A timetable rescheduling approach and transition phases for high-speed railway traffic during disruptions[J].Transportation Research Record,2017(2607):82-92.
[21]马阳阳,孟学雷,贾宝通,等.基于列车运行时间偏差惩罚的高速列车节能优化方法[J].交通信息与安全,2021,39(4):84-91.
MA Yang-yang,MENG Xue-lei,JIA Bao-tong,et al.An energy-saving optimization method of high-speed trains based on time deviation penalty during train operation[J].Journal of Transport Information and Safety,2021,39(4):84-91.
[22]王建国.基于随机生产模拟的微电网储能系统容量优化配置方法研究[J].电工技术,2022(19):10-12.
WANG Jian-guo.Research on capacity optimal allocation of micro grid energy storage system based on stochastic production simulation[J].Electric Engineering,2022(19):10-12.
[23]张 熙.大规模储能与风力发电协调优化运行研究[D].济南:山东大学,2016.
ZHANG Xi.Study on coordinated optimal operation of large-scale energy storage and wind power generation[D].Jinan:Shandong University,2016.

Memo

Memo:
-
Last Update: 2024-10-20