Study on Optimization of Hybrid Energy Storage Configuration

被引:0
|
作者
Wang Zuomin [1 ]
Lv GongXiang [2 ]
Wei Ling [3 ]
Qin Hua [1 ]
机构
[1] JiangSu Power Design Inst Co Ltd, Nanjing, Jiangsu, Peoples R China
[2] Beijing Smart China Energy Technol Dev Co Ltd, Beijing, Peoples R China
[3] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
关键词
capacity reduction; distribution network planning; hybrid energy storage; optimal allocation; Wave shaping coefficient;
D O I
暂无
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 randomness and volatility of the renewable energy bring instability to the operation of distribution network. A higher standard of planning and scheduling of the distribution network is called for along with the increasing load of the distribution network and the increasing spread of the peak and valley. In the distribution network, equipped with energy storage can reduce the impact of uncertainty, improve the flexibility of distribution network operation. The use of hybrid energy storage is more suitable for frequent occurrence of power load fluctuations in the distribution network. This paper focuses on the configuration of hybrid energy storage, and proposes a hybrid energy storage optimization method for calculating the parameter of power storage and energy storage in the distribution network. It can reduce the capacity of the transformers in the distribution network. At the same time, this paper also proposes a Wave shaping coefficient of the indicators used to optimize the cost of hybrid energy storage configuration and improve the economic benefit reasonably. The proposed allocation method is validated with numerical simulation results.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Energy Flux Optimization in Generation and Storage Hybrid Systems
    Figueroa, Jose Luis
    Chiacchiarini, Hector Gerardo
    2015 XVI WORKSHOP ON INFORMATION PROCESSING AND CONTROL (RPIC), 2015,
  • [42] Integrated Reconfigurable Configuration for Battery/Ultracapacitor Hybrid Energy Storage Systems
    Momayyezan, Milad
    Abeywardana, Damith B. Wickramasinghe
    Hredzak, Branislav
    Agelidis, Vassilios G.
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2016, 31 (04) : 1583 - 1590
  • [43] Coordinated configuration of hybrid energy storage for electricity-hydrogen integrated energy system
    Liu, Nian
    Zhang, Kangrui
    Zhang, Kuan
    JOURNAL OF ENERGY STORAGE, 2024, 95
  • [44] Optimization Strategy of Configuration and Scheduling for User-Side Energy Storage
    Liu, Yushan
    Liu, Qianqian
    Guan, Huaimin
    Li, Xiao
    Bi, Daqiang
    Guo, Yingjun
    Sun, Hexu
    ELECTRONICS, 2022, 11 (01)
  • [45] Joint Optimization of Hybrid Energy Storage and Generation Capacity With Renewable Energy
    Yang, Peng
    Nehorai, Arye
    IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (04) : 1566 - 1574
  • [46] Energy Management Optimization in a Battery/Supercapacitor Hybrid Energy Storage System
    Choi, Mid-Eum
    Kim, Seong-Woo
    Seo, Seung-Woo
    IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (01) : 463 - 472
  • [47] Study on Hybrid Energy Storage Configuration and Control Strategy of Grid-connected Wind Hydrogen System
    Shen, Xiaojun
    Nie, Congying
    Lv, Hong
    Wang, Wei
    2019 THE 2ND INTERNATIONAL SYMPOSIUM ON HYDROGEN ENERGY AND ENERGY TECHNOLOGIES (HEET 2019), 2020, 155
  • [48] Collaborative Optimization Method of Capacity Configuration and Operation Strategy of Hybrid Energy Storage System for All-electric Ships
    Wang, Yufan
    Yang, Xiangguo
    Li, Xin
    Zhou, Chaobin
    Duan, Quanzheng
    Tang, Telu
    Ship Building of China, 2024, 65 (03) : 106 - 121
  • [49] Capacity Configuration Method of Hybrid Energy Storage Participating in AGC Based on Improved Meta-Model Optimization Algorithm
    He, Junqiang
    Shi, Changli
    Wu, Qingfeng
    Zhang, Wenjie
    Gao, Yunguang
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [50] Bi-level optimal configuration method of hybrid energy storage system based on meta model optimization algorithm
    He J.
    Shi C.
    Ma M.
    Huo Q.
    Xin K.
    Wei T.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2020, 40 (07): : 157 - 164