Flexibility Assessment of Ternary Pumped Storage in Day-Ahead Optimization Scheduling of Power Systems

被引:0
|
作者
Wu, Zhiyu [1 ]
Wang, Junzhou [1 ]
Peng, Sui [2 ]
Zhang, Yining [2 ]
Pan, Wenxuan [1 ]
Tang, Junjie [1 ]
机构
[1] Chongqing Univ, Sch Elect Engn, State Key Lab Power Transmiss Equipment Technol, Chongqing 400044, Peoples R China
[2] Guangdong Power Grid Corp, China Southern Power Grid, Grid Planning & Res Ctr, Guangzhou 510080, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 19期
关键词
speed regulation characteristics; flexibility assessment; ternary pumped storage units; day-ahead optimization scheduling; sensitivity analysis; DEEP PEAK REGULATION; ENERGY-STORAGE; WIND POWER; UNIT; DEMAND; COST;
D O I
10.3390/app14198820
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
To explore the advantages in the flexibility of ternary pumped storage units (T-PSUs) compared with fixed-speed pumped storage units (FS-PSUs) and variable-speed pumped storage units (VS-PSUs) in the day-ahead optimal scheduling of power systems, this paper firstly establishes the mathematical model of T-PSUs which is suitable for the target application, and establishes a new hybrid pumped storage model combining both FS-PSUs and T-PSUs for the purpose of improving existing FS-PSUs. Secondly, a day-ahead optimal scheduling model used for a wind-thermal-pumped storage bundled transmission system with the goal of obtaining the lowest operating cost is established. Additionally, various indicators are proposed to comprehensively evaluate the flexibility of different pumped storage unit types on day-ahead optimal scheduling. Finally, a sensitivity analysis is conducted from three aspects: covering the wind power capacity, load rate, and pumped storage capacity. The results indicate that T-PSUs are superior to FS-PSUs and VS-PSUs in maintaining the smooth, economic, and robust operation of thermal power units, as well as in promoting wind power consumption. This provides a significant reference for evaluating the technical and economic benefits of the different types of pumped storage units in applications of future power grids.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Cost Optimization and Day-Ahead Scheduling for a Renewable Energy Microgrid
    Ignat, Andreea
    Petreus, Dorin
    Lazar, Eniko
    2019 42ND INTERNATIONAL SPRING SEMINAR ON ELECTRONICS TECHNOLOGY (ISSE), 2019,
  • [32] Optimization of power-to-heat flexibility for residential buildings in response to day-ahead electricity price
    Golmohamadi, Hessam
    Larsen, Kim Guldstrand
    Jensen, Peter Gjol
    Hasrat, Imran Riaz
    ENERGY AND BUILDINGS, 2021, 232
  • [33] Day-ahead scheduling model for agricultural microgrid with pumped-storage hydro plants considering irrigation uncertainty
    Wu, Yingjun
    Chen, Runrun
    Lin, Zhiwei
    Chen, Yuyang
    Chen, Zhaorui
    Chen, Xuejie
    Yuan, Jiangfan
    JOURNAL OF ENERGY STORAGE, 2024, 95
  • [34] Research on optimization of day-ahead dispatching of wind power-photovoltaic-hydropower-thermal power-pumped storage combined power generation system
    Zhang, Guobin
    Chen, Yue
    Zhang, Jiahui
    Tang, Ningning
    Niu, Yuguang
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 41 (08): : 79 - 85
  • [35] Day-Ahead Wind Power Admissibility Assessment of Power Systems Considering Frequency Constraints
    Tan, Hong
    Chen, Jiaxun
    Wang, Qiujie
    Weng, Hanli
    Li, Zhenxing
    Mohamed, Mohamed A.
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2025, 21 (02) : 1449 - 1458
  • [36] Distributionally robust coordinated day-ahead scheduling of Cascade pumped hydro energy storage system and DC transmission
    Liu, Mao
    Kong, Xiangyu
    Lian, Jijian
    Wang, Jimin
    Yang, Bohan
    APPLIED ENERGY, 2025, 384
  • [37] Simulation Approach for Day-Ahead Production Scheduling of a Power Plant
    Nekrasov, Ivan
    Pravdivets, Nikolay
    IFAC PAPERSONLINE, 2022, 55 (10): : 2887 - 2892
  • [38] A day-ahead Optimal Scheduling Operation of Battery Energy Storage with Constraints in Hybrid Power System
    Paliwal, Navin K.
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE, 2020, 167 : 2140 - 2152
  • [39] Day-Ahead Power Consumption Scheduling in a Smart Home with Solar Panels and Battery Storage Integration
    Ali, I. Hammou Ou
    Ouassaid, M.
    Maaroufi, M.
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2022, 12 (01): : 181 - 189
  • [40] Fuzzy Clustering Based Scenario Reduction for Stochastic Day-Ahead Scheduling in Power Systems
    Liang, Junkai
    Tang, Wenyuan
    2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,