Study on energy management model of integrated New Energy-Storage-Charging system considering the influence of uncertainties

被引:4
|
作者
Liu, Huanan [1 ]
Jiang, Jing [1 ]
Zhan, Shuo [1 ]
Yang, Xiuyu [1 ]
Yu, Dongmin [2 ]
Yan, Gangui [1 ]
机构
[1] Northeast Elect Power Univ, Key Lab Modern Power Syst Simulat & Control & Rene, Minist Educ, Jilin 132012, Jilin, Peoples R China
[2] Nanchang Univ, Nanchang 330031, Jiangxi, Peoples R China
关键词
New energy; Electric vehicle charging station; Downside risk; Demand response; System uncertainty; ELECTRIC VEHICLES; DISTRIBUTION NETWORKS; TO-VEHICLE; OPERATION; AGGREGATION; STRATEGY;
D O I
10.1016/j.fuel.2022.125784
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The energy management of the integrated New energy-Storage-Charging system is affected by many source-side and load-side uncertainties, making it difficult for the system operator to choose an appropriate operation scheme. To deal with the influence of various uncertainties on the operation optimization effect of the integrated New energy-Storage-Charging system and provide an effective theoretical basis for the system operator to formulate the operation scheme, this paper studies the energy management of the integrated New energyStorage-Charging system considering various uncertain factors. First, it constructs an equipment operation model of the integrated New energy-Storage-Charging system and charging load regulation model of the electric vehicle and analyzes the influence of five uncertainties such as temperature, light intensity, wind speed, load, and electricity price on the system operation. Then, considering the load transfer cost, it establishes the energy management model of the integrated New energy-Storage-Charging system to minimize the system operation cost. Finally, based on the downside risk theory, it constructs a risk management model of the system operation considering multi-dimensional uncertainty. By imposing constraints for uncertainty management, we have the system operation optimization schemes under different risk levels. The case analysis shows that the optimization proposed in this paper can accurately adjust a load of electric vehicles to a single vehicle and reduce the operation cost of the system by participating in the demand response by load regulation. In addition, this paper proposes an effective quantitative description method and risk dealing scheme for the influence of various uncertainties.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Coordinated Optimization of Integrated Energy System Considering Demand Response and Energy Storage
    Qi, Xiaomin
    Xiong, Huang
    Xiao, Hao
    Pei, Wei
    2020 23RD INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2020, : 478 - 482
  • [32] Coordinated siting and sizing for integrated energy system considering generalized energy storage*
    Chen, Changming
    Zhang, Tianhan
    Wang, Yunchu
    Sun, Guangzeng
    Wu, Cong
    Lin, Zhenzhi
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 155
  • [33] Combined Solar Charging Stations and Energy Storage Units Allocation for Electric Vehicles by Considering Uncertainties
    Khanghah, Babak Yousefi
    Anvari-Moghaddam, Amjad
    Guerrero, Josep M.
    Vasquez, Juan C.
    2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2017,
  • [34] Practical prototype for energy management system in smart microgrid considering uncertainties and energy theft
    Saeed, Mohammed A.
    Sedhom, Bishoy E.
    Elbaghdadi, Abdelrahman S.
    Fadl, Ahmed W.
    Abdelwahab, Mohammed S.
    Elden, Menna H.
    Alhasnawi, Bilal Naji
    Eladl, Abdelfattah A.
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [35] A shared energy storage business model for data center clusters considering renewable energy uncertainties
    Han, Ouzhu
    Ding, Tao
    Zhang, Xiaosheng
    Mu, Chenggang
    He, Xinran
    Zhang, Hongji
    Jia, Wenhao
    Ma, Zhoujun
    RENEWABLE ENERGY, 2023, 202 : 1273 - 1290
  • [36] Practical prototype for energy management system in smart microgrid considering uncertainties and energy theft
    Mohammed A. Saeed
    Bishoy E. Sedhom
    Abdelrahman S. Elbaghdadi
    Ahmed W. Fadl
    Mohammed S. Abdelwahab
    Menna H. Elden
    Bilal Naji Alhasnawi
    Abdelfattah A. Eladl
    Scientific Reports, 13
  • [37] The Energy Management Strategies of Residential Integrated Energy System Considering Integrated Demand Response
    Ma, Tengfei
    Pei, Wei
    Xiao, Hao
    Zhang, Guobin
    Ma, Shiqian
    2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021), 2021, : 188 - 193
  • [38] An Economically Optimized Planning of Regional Integrated Energy System Considering Renewable Energy and Energy Storage
    Lei, Yi
    Xu, Jiazhu
    Tong, Nihau
    Shen, Mengru
    2022 IEEE PES 14TH ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE, APPEEC, 2022,
  • [39] Optimal energy management and scheduling of a microgrid considering hydrogen storage and PEMFC with uncertainties
    Hai, Tao
    Aksoy, Muammer
    Rezvani, Alireza
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 88 : 1017 - 1033
  • [40] Integrated Electricity and Natural Gas Energy System Scheduling Model Considering Multi-Energy Storage Systems
    Zhou, Xueting
    Bao, Yu-Qing
    Chen, Pei-Pei
    Ji, Tongzhou
    Deng, Wenjuan
    Jin, Weijia
    2018 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2018,