Large-Scale Renewable Energy Power Aggregation Modeling Technology

被引:0
|
作者
Jiang, Jiheng [1 ]
Zhang, Dehai [2 ]
Yu, Tengkai [3 ]
Li, Xiaoming [3 ]
Lu, Zongxiang [1 ]
Wang, Yajun [3 ]
Zhang, Rui [3 ]
Cui, Tongfei [3 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing, Peoples R China
[2] Tsinghua Univ, Sichuan Energy Internet Res Inst, Chengdu, Peoples R China
[3] State Grid Hebei Elect Power Res Inst, Shijiazhuang, Hebei, Peoples R China
关键词
aggregation modeling; frequency support capability; output model of wind and solar; frequency modulation modelling;
D O I
10.1109/REPE59476.2023.10511426
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, the mechanism and aggregation method of wind and solar power participating in the system frequency process are clarified through the studies of inertia and frequency modulation modelling and frequency support capability aggregation. Firstly, based on the historical wind power and PV output data, a mathematical model describing the output characteristics of wind power and PV at the second and minute scales is established. Secondly, the relationship between the renewable energy hourly average frequency support capability and minute and second scale frequency support characteristics is analyzed. Finally, different hourly equivalent methods such as hourly average frequency support capacity (FSC) and hourly minimum FSC are compared and analyzed, and the equivalent frequency support capacity applicable to hourly planning and operation is studied. Results verify the correctness of the theoretical analysis of the relationship between renewable energy outputs and frequency response capability and the proposed aggregation model.
引用
收藏
页码:112 / 116
页数:5
相关论文
共 50 条
  • [31] Annual Assessment of Large-Scale Introduction of Renewable Energy: Modeling of Unit Commitment Schedule for Thermal Power Generators and Pumped Storages
    Mitani, Takashi
    Aziz, Muhammad
    Oda, Takuya
    Uetsuji, Atsuki
    Watanabe, Yoko
    Kashiwagi, Takao
    ENERGIES, 2017, 10 (06)
  • [32] Probabilistic modeling of renewable energy source based on Spark platform with large-scale sample data
    Yang, Yan
    Yu, Juan
    Yang, Mengfan
    Ren, Pengling
    Yang, Zhifang
    Wang, Guisheng
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2019, 29 (03):
  • [33] The road to green power in Mexico - reflections on the prospects for the large-scale and sustainable implementation of renewable energy
    Huacuz, JM
    ENERGY POLICY, 2005, 33 (16) : 2087 - 2099
  • [34] Development of Model for Load Frequency Control in Power System with Large-scale Integration of Renewable Energy
    Takayama, Shinichi
    Matsuhashi, Ryuji
    2016 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), 2016,
  • [35] Stability analysis of connected large-scale renewable energy sources into Jordanian national power grid
    Abu Dyak, Ahmad
    Alsafasfeh, Qais
    Harb, Ahmad
    INTERNATIONAL JOURNAL OF AMBIENT ENERGY, 2020, 41 (09) : 1016 - 1025
  • [36] Comparison of Renewable Large-Scale Energy Storage Power Plants Based on Technical and Economic Parameters
    Klaas, Ann-Kathrin
    Beck, Hans-Peter
    PROCEEDINGS OF THE INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE, IRES 2022, 2023, 16 : 235 - 266
  • [37] An Aggregation Modeling Method of Large-scale Wind Farms in Power System Transient Stability Analysis
    Zhang, Mei
    Li, Qing
    Liu, Chun
    Zhang, Jinping
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 1351 - 1356
  • [38] Large-Scale Renewable Energy Penetration Impact on System Stability
    Areed, Emad Fuad
    Alcaide-Godinez, Indira
    2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2021,
  • [39] Large-Scale Integration of Deferrable Demand and Renewable Energy Sources
    Papavasiliou, Anthony
    Oren, Shmuel S.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (01) : 489 - 499
  • [40] LARGE-SCALE VARIABILITY OF WEATHER DEPENDENT RENEWABLE ENERGY SOURCES
    von Bremen, Lueder
    MANAGEMENT OF WEATHER AND CLIMATE RISK IN THE ENERGY INDUSTRY, 2010, : 189 - 206