Research on Optimal Allocation of Distributed Generations in Multi-energy System for Rural Area

被引:0
|
作者
Ji Taipeng [1 ]
Hu Hongwei [1 ]
Yang Dechang [1 ]
机构
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China
关键词
Multi-energy System; Optimal Allocation; Sensitivity Analysis; Rural Area;
D O I
10.1109/CIEEC47146.2019.CIEEC-2019331
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
In this paper, the optimal allocation of multi-energies in rural area is analyzed. First of all, the energy generation potential capacities of PV, wind power are analyzed according to the natural conditions of the specific area. Then, the characteristics of the AC loads, DC loads and thermal loads at the large time-scales are also analyzed. Besides, the basic structure of the typical multi-energy system is presented based on the classification of different loads. Furthermore, optimal allocation model of multi-energy system, including the objective function and control strategy, is built. Finally, the cost sensitivity analysis of the different renewable energy is implemented. The results of this paper provide the reference for the construction of the multi-energy system in a rural area.
引用
收藏
页码:857 / 861
页数:5
相关论文
共 50 条
  • [41] Optimal Allocation of Distributed Generations with SOP in Distribution Systems
    Yin, Mingjia
    Li, Kang
    2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [42] Development of a Capacity Allocation Model for the Multi-Energy Hybrid Power System
    Fu, Jinming
    Zeng, Guang
    Ji, Yang
    Zhou, Anqi
    JOURNAL OF THERMAL SCIENCE, 2025,
  • [43] Advancing the Thermal Network Representation for the Optimal Design of Distributed Multi-Energy Systems
    Wang, Danhong
    Li, Xiang
    Marquant, Julien
    Carmeliet, Jan
    Orehounig, Kristina
    FRONTIERS IN ENERGY RESEARCH, 2021, 9
  • [44] Real-time management of distributed multi-energy resources in multi-energy networks
    Coelho, Antonio
    Iria, Jose
    Soares, Filipe
    Lopes, Joao Pecas
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2023, 34
  • [45] Optimal allocation of industrial park multi-energy complementary system based on typical scenarios: Case study of Shenzhen
    Liu, Fangtong
    Zhong, Jiaqi
    Wu, Man
    Liu, Xiaoyang
    Wang, Chaolang
    Ke, Yiming
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 88 : 830 - 840
  • [46] Energy Optimal Dispatching of Ports Multi-Energy Integrated System Considering Optimal Carbon Flow
    Wang, Wenyong
    Huo, Qunhai
    Liu, Qiran
    Ni, Jianfu
    Zhu, Jinda
    Wei, Tongzhen
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (05) : 4181 - 4191
  • [47] Research on Optimal Scheduling of Multi-Energy Microgrid Based on Stackelberg Game
    Li, Bo
    Li, Yang
    Li, Ming-Tong
    Guo, Dan
    Zhang, Xin
    Zhu, Bo
    Zhang, Pei-Ru
    Wang, Li-Di
    PROCESSES, 2023, 11 (10)
  • [48] Optimal dispatch approach for rural multi-energy supply systems considering virtual energy storage
    Xu, Yanze
    Mu, Yunfei
    Qi, Haijie
    Li, Hairun
    Yu, Peng
    Sun, Shumin
    GLOBAL ENERGY INTERCONNECTION-CHINA, 2023, 6 (06): : 675 - 688
  • [49] Optimal dispatch approach for rural multi-energy supply systems considering virtual energy storage
    Xu Y.
    Mu Y.
    Qi H.
    Li H.
    Yu P.
    Sun S.
    Global Energy Interconnection, 2023, 6 (06) : 675 - 688
  • [50] Optimal Sizing of Energy Station in the Multi-energy System Integrated with Data Center
    Lyu, Jiawei
    Zhang, Shenxi
    Cheng, Haozhong
    Yuan, Kai
    Song, Yi
    Fang, Sidun
    2020 IEEE/IAS 56TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2020,