Multi-level Allocation Strategy for Integrated Energy Based on Energy Storage Capacity Allocation

被引:0
|
作者
Ma, Lan [1 ]
Xie, Lirong [1 ]
Song, Xinfu [2 ]
Ye, Jiahao [1 ]
Ma, Wei [1 ,3 ]
机构
[1] Engineering Research Center for Renewable Energy Power Generation and Grid Technology of Ministry of Education, Xinjiang University, Xinjiang Uygur, Autonomous Region, Urumqi,830047, China
[2] Economic and Technical Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi, Xinjiang Uygur Autonomous Region, 830011, China
[3] State Key Laboratory of Power System and Generation Equipment, Tsinghua University, Haidian District, Beijing,100084, China
来源
基金
中国国家自然科学基金;
关键词
Electric power distribution - Multiobjective optimization;
D O I
10.13335/j.1000-3673.pst.2022.1722
中图分类号
学科分类号
摘要
Energy distribution is an essential component of an integrated energy system to meet the load demand. However, most current energy distribution strategies rely heavily on the forecasting techniques with limited accuracy. With the objective of real-time distribution of the integrated energy, a multi-level allocation strategy for the integrated energy based on the energy storage capacity allocation is proposed. Firstly, considering the economy, different scenarios are differentiated based on the gas and time-sharing tariffs. Secondly, a multi-level distribution strategy is developed for different scenarios based on the conversion capability of the integrated energy equipment and the load-side demand response capability to determine the output sequence of the output terminals. Finally, the above energy allocation strategy is embedded into the multi-objective heat exchange optimization algorithm as a constraint, and the comprehensive energy economic scheduling problem is transformed into the energy storage capacity allocation problem. Simulation results show that the economic cost of the integrated energy is lower than the traditional energy allocation strategies due to the consideration of multiple scenarios and the synergistic effect of the power and heat storage, while the satisfaction rate of energy using within the integrated energy system of the campus is also improved. © 2023 Power System Technology Press. All rights reserved.
引用
收藏
页码:2218 / 2228
相关论文
共 50 条
  • [1] Optimization Operation Strategy for Shared Energy Storage and Regional Integrated Energy Systems Based on Multi-Level Game
    Yang, Yulong
    Chen, Tao
    Yan, Han
    Wang, Jiaqi
    Yan, Zhongwen
    Liu, Weiyang
    [J]. ENERGIES, 2024, 17 (07)
  • [2] Energy Storage Capacity Allocation Strategy for Wind Solar Energy Storage Combined System Based on Multi Time Scale Market Transaction
    Liu, Guoqing
    Zhou, Bowen
    Zheng, Hongwei
    Liu, Yubo
    [J]. 2024 6TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM, AEEES 2024, 2024, : 1329 - 1334
  • [3] Virtual Energy Storage Sharing and Capacity Allocation
    Zhao, Dongwei
    Wang, Hao
    Huang, Jianwei
    Lin, Xiaojun
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (02) : 1112 - 1123
  • [4] Virtual Energy Storage Sharing and Capacity Allocation
    Zhao, Dongwei
    Wang, Hao
    Huang, Jianwei
    Lin, Xiaojun
    [J]. 2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [5] Capacity Optimal Allocation Strategy of Energy Storage System Based on Fruit Fly Optimization Algorithm
    Wu, Shaojiang
    Wang, Yi
    Lin, Kai
    Liao, Wanying
    Huang, Weiqin
    [J]. 2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES, 2022, : 2110 - 2114
  • [6] Coordinated Optimal Allocation of Energy Storage in Regional Integrated Energy System Considering the Diversity of Multi-Energy Storage
    Diao, Hanbin
    Li, Peiqiang
    Lü, Xiaoxiu
    Liu, Xiaolong
    Li, Xinran
    [J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2021, 36 (01): : 151 - 165
  • [7] Multi-Level Fog Based Resource Allocation Model for EVs Energy Planning in Smart Grid
    Chekired, Djabir Abdeldjalil
    Khoukhi, Lyes
    Mouftah, Hussein T.
    [J]. PROCEEDINGS OF THE 2018 IEEE 43RD CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN), 2018, : 243 - 250
  • [8] Shared Energy Storage Multi-Objective Allocation Strategy Considering Integrated Energy Microgrid Access to Active Distribution Network
    Mi, Yang
    Chen, Yuyang
    Chen, Boyang
    Han, Yunhao
    Yuan, Minghan
    [J]. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2024, 58 (09): : 1309 - 1322
  • [9] Research on optimal allocation strategy of multiple energy storage in regional integrated energy system based on operation benefit increment
    Luo, Fengzhang
    Shao, Jingpeng
    Jiao, Zheng
    Zhang, Tianyu
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 125
  • [10] Optimal Allocation of Energy Storage in Regional Integrated Energy System Based on Security Region
    Guo, Ying
    Wang, Dan
    Li, Siyuan
    Jia, Hongjie
    Li, Jiaxi
    Zheng, Yuping
    Yang, Zhihong
    [J]. Dianwang Jishu/Power System Technology, 2022, 46 (02): : 604 - 612