An Optimal Scheduling Strategy of Spinning Reserve Considering Coordination Between Source and Load for Power System

被引:0
|
作者
Yu, Zhaoguo [1 ]
Song, Ziqiu [1 ]
Hu, Yang [1 ]
Feng, Hanyu [1 ]
机构
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
wind power generation; spinning reserve; demand response; source load coordination; WIND; SECURITY;
D O I
10.1109/AEEES51875.2021.9402988
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
Due to large-scale wind power integration, the operation and reserve of power system has been seriously affected. It is necessary to utilize other resources to replace conventional generators to provide reserve capacity for power system. Taking multiple types of reserve resources into account, an optimal scheduling strategy of spinning reserve considering coordination between source and load for power system is proposed. Firstly, according to the mode and operation constraints of reserve resources, the reserve models of conventional generators, wind farm and demand response are established. Secondly, with the objective function of minimizing the operation cost and reserve cost of power system, the optimal scheduling model of spinning reserve based on source load coordination is constructed. Finally, a case of 6-machine 30 bus system is carried out to prove that the economy of power system is improved obviously, and the effectiveness of the proposed optimal scheduling strategy is verified. Furthermore, the impact of wind farm and demand response reserve cost on the system spinning reserve capacity allocation is analyzed respectively, and it has a certain reference significance for reserve resource bidding mechanism of power system.
引用
收藏
页码:719 / 724
页数:6
相关论文
共 50 条
  • [41] Optimal Scheduling of Spinning Reserve for Enabling Microgrid Seamless Islanding
    Masaud, Tarek Medalel
    Nwaulu, Emmanuel
    [J]. 2024 IEEE CONFERENCE ON TECHNOLOGIES FOR SUSTAINABILITY, SUSTECH, 2024, : 245 - 249
  • [42] Stochastic optimal scheduling considering reserve characteristics of retrofitted combined heat and power plants
    Guo, Xusheng
    Lou, Suhua
    Chen, Zhe
    Wu, Yaowu
    Wang, Yongcan
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 140
  • [43] Optimal spinning reserve for a wind-thermal power system using EIPSO
    Lee, Tsung-Ying
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (04) : 1612 - 1621
  • [44] Spinning Reserve Capacity Optimization of a Power System When Considering Wind Speed Correlation
    Zhang, Jianglin
    Zhuang, Huimin
    Zhang, Li
    Gao, Jinyu
    [J]. APPLIED SYSTEM INNOVATION, 2018, 1 (03) : 1 - 13
  • [45] Determination of Maximum Wind Power Penetration in an Isolated Island System by Considering Spinning Reserve
    Chang, Chia-An
    Wu, Yuan-Kang
    Chen, Bin-Kwie
    [J]. ENERGIES, 2016, 9 (09)
  • [46] Research on calculation of spinning reserve capacity of wind power system considering multiple uncertainties
    Li, Zhiyong
    Liu, Chunxiao
    [J]. 2020 ASIA CONFERENCE ON GEOLOGICAL RESEARCH AND ENVIRONMENTAL TECHNOLOGY, 2021, 632
  • [47] Multi-source coordinated scheduling strategy of wind power-PV-CSP considering high energy load
    Zhang, Xiaoying
    Xiong, Wei
    Wang, Kun
    Wang, Xiaolan
    Chen, Wei
    [J]. International Journal of Modelling, Identification and Control, 2020, 34 (02): : 116 - 126
  • [48] Multi-source coordinated scheduling strategy of wind power-PV-CSP considering high energy load
    Zhang, Xiaoying
    Xiong, Wei
    Wang, Kun
    Wang, Xiaolan
    Chen, Wei
    [J]. INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2020, 34 (02) : 116 - 126
  • [49] Optimal Strategy of Active Distribution Network Considering Source-Network-Load
    Kong, Xiangyu
    Yong, Chengsi
    Wang, Chengshan
    Chen, Ying
    Yu, Li
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (24) : 5586 - 5596
  • [50] Source-Load-Storage Coordinated Optimal Scheduling Model Considering Admissible Region of Net Load
    Sun, Fengbin
    Wang, Mingqiang
    Liang, Caishuai
    Zhang, Xia
    [J]. 2024 6TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM, AEEES 2024, 2024, : 1174 - 1179