Power System Evolutionary Planning Based on LHS-kmeans Method for Generating Future Load Scenarios

被引：0
|
作者：
Wang, Zesen [1 ]
Li, Xin [2 ]
Xia, Ye [3 ]
Zhao, Tianqi [1 ]
Xia, Xue [1 ]
Li, Yu [1 ]
机构：
[1] State Grid Jibei Elect Power Res Inst, Power Grid Technol Ctr, Beijing, Peoples R China
[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
[3] China Elect Power Res Inst, State Grid Secondary Equipment Evaluat Ctr, Beijing, Peoples R China
来源：
2021 3RD INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS (SPIES 2021) | 2021年
关键词：
LHS; Load scenarios; cluster; power system planning; wind power; PROGRAMMING APPROACH; MANAGEMENT;
D O I：
10.1109/SPIES52282.2021.9633902
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 load fluctuations, it is difficult for the power system to completely rely on wind power to meet the load demand. Based on the use of LHS-Kmeans to obtain more accurate future load scenarios, the ieee6 node model is selected for power system planning and modeling for the next forty years, and Cplex is used to solve the future power system development results. The results show that although a large amount of wind power has been put into use and has grown year by year, it occupies a very high proportion of the overall power system. As the level of system fluctuations decreases, the proportion of thermal power output can be further reduced, but it still needs to be maintained at a certain level.
引用
收藏
页码：381 / 385
页数：5
相关论文
共 50 条
  • [41] Automatic post-disturbance simulation based method for power system load modeling
    Ju, P. (pju@hhu.edu.cn), 2013, Automation of Electric Power Systems Press (37):
  • [42] The Model Combination Method of Power System Load Forecasting Based on Freshness Availability Index
    Xuan Wenbo
    Song Jia
    Xiao Weidong
    Yan Dawei
    Lei Zheng
    Zhou Jin
    PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY (ICPRE), 2017, : 585 - 588
  • [43] Bus Load Forecasting Method of Power System Based on VMD and Bi-LSTM
    Tang, Jiajie
    Zhao, Jie
    Zou, Hongliang
    Ma, Gaoyuan
    Wu, Jun
    Jiang, Xu
    Zhang, Huaixun
    SUSTAINABILITY, 2021, 13 (19)
  • [44] New Method Based on the Optimal Decomposition Scale for Daily Load Forecasting in Power System
    Sun Jian-bo
    Yi Chun-yan
    Zhang Bu-han
    THERMAL, POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 732-733 : 892 - +
  • [45] Advanced teaching method for learning power system operation based on load flow simulations
    Honrubia-Escribano, Andres
    Villena-Ruiz, Raquel
    Artigao, Estefania
    Gomez-Lazaro, Emilio
    Morales, Ana
    COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, 2021, 29 (06) : 1743 - 1756
  • [46] An Improved Method of Power System Short Term Load Forecasting Based on Neural Network
    Wang, Shunzhou
    Zhao, Huailin
    Zhang, Yani
    Bai, Peng
    ICAROB 2017: PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS, 2017, : P194 - P199
  • [47] Multi-level Load Forecasting System Based on Power Grid Planning Platform with Integrated Information
    Fu, Yimu
    Sun, Donglei
    Wang, Yiqun
    Feng, Liang
    Zhao, Weixing
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 933 - 938
  • [48] Functional sequence planning method based on improved co-evolutionary genetic algorithm for payload system
    Wang J.
    Wang C.
    Yao X.
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2019, 41 (06): : 19 - 24
  • [49] Optimal Planning Method for Power System Line Impedance Based on a Comprehensive Stability Margin
    Li, Dahu
    Yang, Shuai
    Huang, Wentao
    He, Jun
    Yuan, Zhijun
    Yu, Jinman
    IEEE ACCESS, 2021, 9 : 56264 - 56276
  • [50] Passivity-Based Stabilization Method for a DC Power Supply System with a Constant Power Load and an LC Filter
    Kato, Toshiji
    Inoue, Kaoru
    Funaki, Takashi
    2020 IEEE 21ST WORKSHOP ON CONTROL AND MODELING FOR POWER ELECTRONICS (COMPEL), 2020, : 27 - 34
12345