|Table of Contents|

Optimal dispatching method of cold and power integrated energy system for transportation hubs(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:
14-26
Research Field:
交通能源融合技术专题
Publishing date:

Info

Title:
Optimal dispatching method of cold and power integrated energy system for transportation hubs
Author(s):
SHI Rui-feng1; 2;  LIU Shu-ling1;  GAO Yu-qin3;  YE Yu-jiang1;  JIA Li-min2; 4
(1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; 2. National Institute of Energy and Transportation Integration Development, North ChinaElectric Power University, Beijing 102206, China; 3. State Grid Smart Grid Research Institute Co.Ltd., Beijing 102209, China;4. State Key Laboratory of Rail Transit Control and Safety, Beijing Jiaotong University, Beijing 100044, China)
Keywords:
traffic engineering;  integrated energy system;  mixed integer programming;  integration of energy and transportation;  ice storage tank
PACS:
U491.54
DOI:
10.19721/j.cnki.1671-8879.2024.05.009
Abstract:
Transportation hubs are important places for energy consumption. The purpose of this paper was to reduce system-operating costs, and reduce carbon emissions. Based on analyzing the natural resource endowment of the transportation hub and the coexistence characteristics of multiple loads such as cooling, heating and electrical, the optimal scheduling model of the integrated energy system of the transportation hub was constructed to reduce the system operating costs. Firstly, an integrated energy system architecture for cold power with new energy power generation and cold storage devices was constructed. The mathematical models of the chiller, ice storage tank and other units in the system were established to provide a basis for the subsequent optimization and scheduling. Secondly, taking the consideration on the constraints of energy supply and energy conversion, the output constraints of energy storage equipment and the constraints of system operation, the optimal scheduling model of the system was constructed, with the goal of increasing the consumption rate of new energy. The mixed integer programming method was employed to solve the problem with the Gurobi solver. Finally, a typical example of a transportation hub in Guangdong was taken to compare the system operation cost and new energy consumption rate of ice storage tank under different operation modes. The results show that the operation mode with ice storage tank can reduce the operating cost by 14.95% and increase the new energy consumption rate by 3.51%, and the effectiveness of the proposed model and solution method is verified.11 tabs, 21 figs, 24 refs.

References:

[1] TANG B J,LI X Y,YU B Y,et al.Sustainable development pathway for intercity passenger transport:A case study of China[J].Applied Energy,2019,254:113632.
[2]舒印彪,张智刚,郭剑波,等.新能源消纳关键因素分析及解决措施研究[J].中国电机工程学报,2017,37(1):1-9.
SHU Yin-biao,ZHANG Zhi-gang,GUO Jian-bo,et al.Study on key factors and solution of renewable energy accommodation[J].Proceedings of the CSEE,2017,37(1):1-9.
[3]JIA L M, MA J, CHENG P, et al.A perspective on solar energy-powered road and rail transportation in China[J].CSEE Journal of Power and Energy Systems, 2020,6(4):760-771.
[4]杨经纬,张 宁,王 毅,等.面向可再生能源消纳的多能源系统:述评与展望[J].电力系统自动化,2018,42(4):11-24.
YANG Jing-wei,ZHANG Ning,WANG Yi,et al.Multi-energy system towards renewable energy accommodation:Review and prospect[J].Automation of Electric Power Systems,2018,42(4):11-24.
[5]TIAN L X,HUANG Y S,LIU S,et al.Application of photovoltaic power generation in rail transit power supply system under the background of energy low carbon transformation[J].Alexandria Engineering Journal,2021,60(6):5167-5174.
[6]LIU Y,WANG Y,LI Y Z,et al.Multi-agent based optimal scheduling and trading for multi-microgrids integrated with urban transportation networks[J].IEEE Transactions on Power Systems,2021,36(3):2197-2210.
[7]YANG C C,LIU G L,WANG X J,et al.Harvesting wide frequency micromechanical vibration energy and wind energy with a multi-mode triboelectric nanogenerator for traffic monitoring and warning[J].Advanced Materials Technologies,2023,8(1):2200465.
[8]WANG Y L,WANG Y D,HUANG Y J,et al.Optimal scheduling of the regional integrated energy system considering economy and environment[J].IEEE Transactions on Sustainable Energy,2019,10(4):1939-1949.
[9]SONG Y J,MU H L,LI N,et al.Optimal scheduling of zero-carbon integrated energy system considering long- and short-term energy storages,demand response,and uncertainty[J].Journal of Cleaner Production,2024,435:140393.
[10]李兴国,任永峰,孟庆天,等.考虑可控负荷的含CSP和P2G的综合能源系统优化调度[J].太阳能学报,2023,44(12):552-559.
LI Xing-guo,REN Yong-feng,MENG Qing-tian,et al.Optimal scheduling of integrated energy system with CSP and P2G considering controllable load[J].Acta Energiae Solaris Sinica,2023,44(12):552-559.
[11]方斯顿,赵常宏,丁肇豪,等.面向碳中和的港口综合能源系统(二):能源-交通融合中的柔性资源与关键技术[J].中国电机工程学报,2023,43(3):950-969.
FANG Si-dun,ZHAO Chang-hong,DING Zhao-hao,et al.Port integrated energy systems toward carbon neutrality(Ⅱ):Flexible resources and key technologies in energy-transportation integration[J].Proceedings of the CSEE,2023,43(3):950-969.
[12]杨 昭,艾 欣.考虑电能共享的综合能源楼宇群分布式优化调度[J].电网技术,2020,44(10):3769-3778.
YANG Zhao,AI Xin.Distributed optimal scheduling for integrated energy building clusters considering energy sharing[J].Power System Technology,2020,44(10):3769-3778.
[13]HUANG H X,LIANG R,LYU C X,et al.Two-stage robust stochastic scheduling for energy recovery in coal mine integrated energy system[J].Applied Energy,2021,290:116759.
[14]潘 华,梁作放,肖雨涵,等.多场景下区域综合能源系统的优化运行[J].太阳能学报,2021,42(1):484-492.
PAN Hua,LIANG Zuo-fang,XIAO Yu-han,et al.Optimal operation of regional integrated energy system under multiple scenes[J].Acta Energiae Solaris Sinica,2021,42(1):484-492.
[15]DAI Y R,ZENG Y P.Optimization of CCHP integrated with multiple load,replenished energy,and hybrid storage in different operation modes[J].Energy,2022,260:125129.
[16]LIU H,LIU X S,CAI C,et al.A new power flow model for combined heat and electricity analysis in an integrated energy system[J].Applied Thermal Engineering,2023,219:119597.
[17]邓钰龙,李春燕,邵常政,等.电热气氢综合能源系统随机优化调度[J].太阳能学报,2023,44(11):522-529.
DENG Yu-long,LI Chun-yan,SHAO Chang-zheng,et al.Stochastic optimal scheduling of integrated electric-heat-gas-hydrogen energy system[J].Acta Energiae Solaris Sinica,2023,44(11):522-529.
[18]汪德成,李 妍,张 群,等.冷热电储一体化综合能源系统优化研究[J].太阳能学报,2023,44(6):130-136.
WANG De-cheng,LI Yan,ZHANG Qun,et al.Research on optimization of cooling,heating,electricity and storage multi-energy coupling system[J].Acta Energiae Solaris Sinica,2023,44(6):130-136.
[19]刘晓鸥,葛少云.区域综合能源系统的能效定义及其相关性分析[J].电力系统自动化,2020,44(8):8-18.
LIU Xiao-ou,GE Shao-yun.Definition and correlation analysis on energy utilization efficiency of regional integrated energy system[J].Automation of Electric Power Systems,2020,44(8):8-18.
[20]朱西平,江 强,钟 宇,等.计及前瞻风险的综合能源系统低碳经济调度优化[J].太阳能学报,2023,44(6):113-121.
ZHU Xi-ping,JIANG Qiang,ZHONG Yu,et al.Low-carbon economic dispatch optimization of integrated energy system considering forward-looking risks[J].Acta Energiae Solaris Sinica,2023,44(6):113-121.
[21]王春博.基于改进粒子群算法冷热电联供型的微网优化运行研究[D].徐州:中国矿业大学,2022.
WANG Chun-bo.The optimal operation of microgrid based on improved particle swarm optimization for combined cooling,heating and power[D].Xuzhou:China University of Mining and Technology,2022.
[22]徐成司,董树锋,张舒鹏,等.面向工业园区的集中-分布式综合需求响应方法[J].电网技术,2021,45(2):489-500.
XU Cheng-si,DONG Shu-feng,ZHANG Shu-peng,et al.Centralized-distributed integrated demand response method for industrial park[J].Power System Technology,2021,45(2):489-500.
[23]倪 伟,吕 林,向 月,等.基于马尔可夫过程蒙特卡洛法的综合能源系统可靠性评估[J].电网技术,2020,44(1):150-158.
NI Wei,LYU Lin,XIANG Yue,et al.Reliability evaluation of integrated energy system based on Markov process Monte Carlo method[J].Power System Technology,2020,44(1):150-158.
[24]田 莉,王志凌.基于风光气互补的园区综合能源系统性能分析及优化调控[J].中国测试, 2024,50(1):128-137.
TIAN Li,WANG Zhi-ling.Performance analysis and optimization regulation scheme of park integrated energy system based on wind-solar-gas[J].China Measurement & Test, 2024,50(1):128-137.

Memo

Memo:
-
Last Update: 2024-10-20