Optimization of Multi-energy Storage Configurations for Regional Integrated Energy Systems

被引:1
作者
Xia, Xuan [1 ]
Tao, Ran [1 ]
Zhao, Dongmei [1 ]
机构
[1] North China Elect Power Univ, Beijing 102206, Peoples R China
来源
PROCEEDINGS OF 2019 INTERNATIONAL FORUM ON SMART GRID PROTECTION AND CONTROL (PURPLE MOUNTAIN FORUM), VOL II | 2020年 / 585卷
关键词
Regional integrated energy system; Multi-energy storage systems; Bi-level optimization model; Configurations;
D O I
10.1007/978-981-13-9783-7_21
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 configurations of multi-energy storage devices in the regional integrated energy system (RIES) can greatly improve the economic benefits of the system and it is an important research direction of RIES planning. However, at present the research on the optimization of electric/thermal/gas multi-energy storage configuration in RIES is insufficient. Under this background, the method to deploy the rated capacity and power of multi-energy storage systems for RIES containing power to gas (P2G) device was proposed in this paper. Bi-level optimization model was established in the purpose of considering the interaction between the configuration and operation of the multi-energy storage systems at the same time. The upper level was optimized for configuration, and the lower level was optimized for operation. By the Kuhn-Tucker approach, the bi-level problem was transformed into a single level optimization problem that can be solved with Gurobi optimizer. Finally, the correctness of the proposed model was verified by an example.
引用
收藏
页码:271 / 281
页数:11
相关论文
共 50 条
  • [31] Reliability evaluation of regional integrated energy system considering multiple energy storage resources
    Han, Jinglin
    Zhao, Hui
    Hu, Xicheng
    Zhao, Yue
    Dong, Xin
    Cui, Lifei
    Liu, Hong
    Li, Tieliang
    2020 IEEE 16TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA), 2020, : 436 - 441
  • [32] Research on Optimized Operation of Regional Integrated Energy System Considering Generalized Energy Storage
    Li H.
    Fang Y.
    Xiao B.
    Dianwang Jishu/Power System Technology, 2019, 43 (09): : 3130 - 3138
  • [33] Distributed optimal scheduling of regional integrated energy systems considering uncertainty and building heat storage
    Zhou Y.
    Ge J.
    Cheng E.
    Zang H.
    Sun G.
    Chen S.
    Wei Z.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (11): : 26 - 33
  • [34] Optimal management of Islanded Distribution Networks including Multi-Energy Storage Units
    Cervi, Andrea
    Coppo, Massimiliano
    Agostini, Marco
    Turri, Roberto
    20TH IEEE MEDITERRANEAN ELETROTECHNICAL CONFERENCE (IEEE MELECON 2020), 2020, : 464 - 469
  • [35] Robust network-constrained energy management of a multiple energy distribution company in the presence of multi-energy conversion and storage technologies
    Mirzaei, Mohammad Amin
    Zare, Kazem
    Mohammadi-Ivatloo, Behnam
    Marzband, Mousa
    Anvari-Moghaddam, Amjad
    SUSTAINABLE CITIES AND SOCIETY, 2021, 74
  • [36] Optimization scheduling of regional integrated energy systems based on electric-thermal-gas integrated demand response
    Zhang T.
    Guo Y.
    Li Y.
    Yu L.
    Zhang J.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (01): : 52 - 61
  • [37] Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand Response
    Yang, Haizhu
    Li, Menglong
    Jiang, Zhaoyang
    Zhang, Peng
    IEEE ACCESS, 2020, 8 : 5080 - 5090
  • [38] Optimal Scheduling Method for a Regional Integrated Energy System Considering Joint Virtual Energy Storage
    Zhu, Xu
    Yang, Jun
    Liu, Yuan
    Liu, Chang
    Miao, Bo
    Chen, Lei
    IEEE ACCESS, 2019, 7 : 138260 - 138272
  • [39] Optimization configuration of regional integrated energy system based on standard module
    Li, Ji
    Xu, Wei
    Cui, Ping
    Qiao, Biao
    Feng, Xiaomei
    Xue, Huiyu
    Wang, Xuan
    Xiao, Long
    ENERGY AND BUILDINGS, 2020, 229
  • [40] Coordination for regional integrated energy system through target cascade optimization
    Gao, Yang
    Ai, Qian
    He, Xing
    Fan, Songli
    ENERGY, 2023, 276