Renewable Energy Consumption Assessment based on Energy Storage System and its Dispatch Flexibility

被引:0
|
作者
Tian, Ye [1 ]
Wang, Liang [1 ]
Li, Ziyan [1 ]
Li, Liang [1 ]
Yu, Hongyuan [1 ]
机构
[1] Beijing Inst Technol, Sch Automat, Beijing 100089, Peoples R China
关键词
Renewable Energy; Time series production simulation; Energy storage system; Power System;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the increase of the penetration rate of renewable energy in the power system, large-scale abandonment of wind and solar has become an important problem that plagues the development of the power system. In this paper, based on the analysis of the operating characteristics of the power system, a mathematical model is established for various conventional power generation components and energy storage systems, which includes pumped storage power stations and electrochemical energy storage systems. In order to avoid the invalid circulation of renewable energy in the energy storage system, the consistency constraint of the working state of the energy storage system in the whole region is established. Finally, considering the scheduling flexibility of the energy storage system, a short-term time series production simulation is carried out. Taking desensitized data in a certain place in northern our country as an example, the consumption of renewable energy is simulated, and it is found that the introduction of energy storage system can effectively reduce the amount of discarded renewable energy. And as the dispatch flexibility factor increases, the amount of renewable energy discarded gradually decreases.
引用
收藏
页码:5300 / 5305
页数:6
相关论文
共 50 条
  • [21] Optimal Dispatch of Regional Integrated Energy System Based on a Generalized Energy Storage Model
    Shen, Yu
    Liang, Xinyu
    Hu, Wei
    Dou, Xiaobo
    Yang, Fan
    IEEE ACCESS, 2021, 9 : 1546 - 1555
  • [22] OPTIMIZATION PLANNING OF TRANSMISSION LINE AND ENERGY STORAGE FOR CONSUMPTION CAPACITY IMPROVEMENT OF RENEWABLE ENERGY WITH RISK ASSESSMENT
    Cheng Y.
    Zhu J.
    Peng D.
    Liu H.
    Hu S.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (10): : 504 - 513
  • [23] Assessment of flexible coal power and battery energy storage system in supporting renewable energy
    Lin, Boqiang
    Liu, Zhiwei
    ENERGY, 2024, 313
  • [24] Model Based Design of a Renewable Energy Supply with Hybrid Energy Storage System
    Kemper, Philipp
    Witkowski, Ulf
    UKSIM-AMSS 10TH EUROPEAN MODELLING SYMPOSIUM ON COMPUTER MODELLING AND SIMULATION (EMS), 2016, : 117 - 123
  • [25] Review of Optimization of Power Dispatch in Renewable Energy System
    Gandhi, Oktoviano
    Rodriguez-Gallegos, Carlos D.
    Srinivasan, Dipti
    2016 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA), 2016, : 250 - 257
  • [26] Integration of Energy Storage System with Renewable Energy Source
    Narasimalu, Srikanth
    Chelliah, Brindha
    2018 ASIAN CONFERENCE ON ENERGY, POWER AND TRANSPORTATION ELECTRIFICATION (ACEPT), 2018,
  • [27] FRED: The Flexible Renewable Energy System Dispatch Optimizer
    Burghi, Ana Carolina do Amaral
    Hirsch, Tobias
    Pitz-Paal, Robert
    JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2019, 141 (05):
  • [28] Supercapacitor energy storage technology and its application in renewable energy power generation system
    Wang, Sibo
    Wei, Tongzhen
    Qi, Zhiping
    PROCEEDINGS OF ISES SOLAR WORLD CONGRESS 2007: SOLAR ENERGY AND HUMAN SETTLEMENT, VOLS I-V, 2007, : 2805 - 2809
  • [29] Economic optimal dispatch of microgrid with P2G and multi-type energy storage to promote renewable energy consumption
    Guo, Xiaoxuan
    Chen, Biyun
    Zhang, Yongjun
    Shu, Jie
    Chi, Jingmin
    Tao, Yong
    2022 IEEE 9TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS SYSTEMS AND APPLICATIONS, PESA, 2022,
  • [30] Optimal planning of battery energy storage system considering renewable energy consumption and frequency and voltage support
    Hu Z.
    Cai F.
    Feng J.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2024, 44 (07): : 3 - 12