Functional Architecture and Collaborative Configuration of Virtual Distribution Feeder for Seasonal Short-term Peak Load

被引:0
|
作者
Zhou, Niancheng [1 ]
Wang, Peng [1 ]
Chi, Yuan [1 ]
Guo, Yingfei [1 ]
Wang, Qianggang [1 ]
Luo, Yongjie [1 ]
机构
[1] State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), Chongqing,400044, China
关键词
Energy storage;
D O I
10.7500/AEPS20230703005
中图分类号
学科分类号
摘要
The traditional line capacity expansion method suffers from the low overall utilization rate of lines and poor power support ability during a contingency when facing seasonal short-term peak loads. Therefore, with the function virtualization as the core concept, this paper studies the functional architecture of virtual distribution feeders that integrate traditional distribution feeders with energy storage components. By using paired energy storage components to construct a virtual power transmission channel, the virtual distribution feeders address seasonal short-term peak loads, delay the conventional line capacity expansion project, and provide emergency power support and auxiliary service functions during non-peak periods to improve the overall utilization rate of energy storage components. In order to further fulfill the flexible transmission and emergency power support potential of virtual distribution feeders, an optimal configuration model for line capacity expansion in distribution network is proposed to optimize the energy storage configuration for virtual distribution feeders while ensuring economy feasibility and meeting peak load demand. Case studies show that the virtual distribution feeders can effectively delay the traditional capacity expansion projects and cope with the seasonal short-term peak loads. For areas with relatively stable load growth, or long lines and short designed delay years for capacity expansion, the advantages of virtual distribution feeders are more noticeable. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:79 / 90
相关论文
共 50 条
  • [1] Short-term temporal dynamics of morphological and feeder functional groups and species richness in relation to seasonal changes
    Gauna, Maria Cecilia
    Fernandez, Carolina
    Escobar, Juan Francisco
    Parodi, Elisa Rosalia
    ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS, 2021, 93 (02):
  • [2] Stochastic configuration networks for short-term power load forecasting
    Wang, Yonggang
    Hao, Yue
    Zhao, Kaixing
    Yao, Yilin
    Information Sciences, 2025, 689
  • [3] Multi-level collaborative short-term load forecasting
    Yi, Linggzhi
    Zhu, Jiang
    Liu, Jiangyong
    Sun, Haoyi
    Liu, Bo
    2022 25TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2022), 2022,
  • [4] Short-Term Net Feeder Load Forecasting of Microgrid Considering Weather Conditions
    Liu Jin
    Dong Cong
    Liu Guangyi
    Yu Jilai
    2014 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON 2014), 2014, : 1205 - 1209
  • [5] Distribution Transformers Short-Term Load Forecasting Models
    Kampezidou, Styliani I.
    Grijalva, Santiago
    2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,
  • [6] PROBABILITY-DISTRIBUTIONS OF SHORT-TERM ELECTRICITY PEAK LOAD FORECASTS
    ADAMS, G
    ALLEN, PG
    MORZUCH, BJ
    INTERNATIONAL JOURNAL OF FORECASTING, 1991, 7 (03) : 283 - 297
  • [7] Regulation of Load Rate of Distribution Network Based on Short-Term Load Forecasting
    Shen, Tianshi
    Wang, Guoteng
    Li, Ke
    Liu, Chongxin
    Ni, Junkang
    Zhang, Zece
    2016 IEEE INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY (ICPRE), 2016, : 432 - 436
  • [8] Single ANN architecture for short-term load forecasting for all seasons
    Singh, SP
    Mailk, OP
    ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS, 1995, 3 (04): : 249 - 254
  • [9] Stacked Boosters Network Architecture for Short-Term Load Forecasting in Buildings
    Salmi, Tuukka
    Kiljander, Jussi
    Pakkala, Daniel
    ENERGIES, 2020, 13 (09)
  • [10] An Efficient Approach to Short-Term Load Forecasting at the Distribution Level
    Sun, Xiaorong
    Luh, Peter B.
    Cheung, Kwok W.
    Guan, Wei
    Michel, Laurent D.
    Venkata, S. S.
    Miller, Melanie T.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (04) : 2526 - 2537