Peak and Valley Periods Partition and TOU Research Based on Power Equipment Efficiency

被引:0
|
作者
Lin, Cheng [1 ]
Ouyang, Kefeng [1 ]
Kang, Peng [1 ]
Wang, Yuping [2 ]
Zhang, Yong [1 ]
Wang, Hongliang [3 ]
Liu, Min [3 ]
Zhao, Jing [3 ]
Han, Song [3 ]
机构
[1] Guizhou Power Grid Corp, Power Dispatching Control Ctr, Guiyang 550001, Guizhou, Peoples R China
[2] Guizhou Power Grid Corp, Guiyang 550001, Guizhou, Peoples R China
[3] Guizhou Univ, Sch Elect Engn, Guiyang 550025, Guizhou, Peoples R China
来源
INTERNATIONAL CONFERENCE ON NEW ENERGY AND RENEWABLE RESOURCES (ICNERR 2015) | 2015年
关键词
Demand side management; Periods partition; User response; TOU;
D O I
暂无
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
TOU is an effective demand-side-management (DSM) tool in this stage, which can play a load shifting, load curve optimization, reducing or delaying generation investment, improve power production efficiency. Reasonable peak and valley periods partition and TOU price determine the effect that the implementation of TOU. In order to promote the optimal allocation of grid resources, improve the utilization efficiency of power equipment, this paper presented a peak and valley periods partition method based on the utilization efficiency of power equipment and established electricity pricing models and optimization model based on users responses. Finally, numerical example is analyzed to show the feasibility of the method.
引用
收藏
页码:434 / 443
页数:10
相关论文
共 50 条
  • [1] Research of peak and valley time period partition approach and TOU price on DSM
    Ding, N.
    Wu, J.
    Zou, Y.
    Dianli Xitong Zidonghue/Automation of Electric Power Systems, 2001, 25 (23): : 9 - 12
  • [2] Research on Peak - Valley TOU Price Based on Demand Side Response
    Zhu, Yunjing
    Liang, Zhirui
    Su, Haifeng
    Wang, Yanfei
    Wang, Wenhao
    2018 FIRST INTERNATIONAL CONFERENCE ON ENVIRONMENT PREVENTION AND POLLUTION CONTROL TECHNOLOGY (EPPCT 2018), 2018, 199
  • [3] Peak-Valley Time Period Partition of TOU Tariff Based on Fuzzy Equivalence Relation Clustering Algorithm
    Duan, Xiaoli
    Liu, Sanwei
    Huang, Fuyong
    Fan, Xiangyu
    Duan, Jianjia
    Zeng, Zeyu
    Yu, Ting
    Zhong, Lipeng
    Dai, Bin
    IAENG International Journal of Applied Mathematics, 2023, 53 (04)
  • [4] Optimization Model for Residential Tiered Electricity Pricing Based on Peak-Valley TOU Price
    Yang, L.
    Chen, K. T.
    Tan, Z. F.
    Zhou, B. B.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL APPLICATIONS (CISIA 2015), 2015, 18 : 250 - 252
  • [5] Risk Assessment of PSC Under Peak-Valley TOU Price Policy Based on CVaR Method
    Li, Yaxin
    Yin, Jungang
    Zhu, Junfei
    Ye, Lun
    Yao, Jiangang
    PROCEEDINGS OF 2019 INTERNATIONAL FORUM ON SMART GRID PROTECTION AND CONTROL (PURPLE MOUNTAIN FORUM), VOL I, 2020, 584 : 907 - 916
  • [6] Optimization of peak-valley TOU power price time-period in ordered charging mode of electric vehicle
    Ge, Shao-Yun
    Huang, Liu
    Liu, Hong
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2012, 40 (10): : 1 - 5
  • [7] Research on the operating mode of the Power supply for a Telecom Base Station Based on the Peak & Valley Model of the Power Grid
    Zhang, Shaomin
    Wang, Pengchao
    Liu, Mingming
    Cheng, Zhirong
    2017 IEEE INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE (INTELEC), 2017, : 515 - 520
  • [8] Research on a peak-cutting and valley-filling Optimal Algorithm Based on Communication Power Supply
    Zhang, Dedi
    Zhang, Shaomin
    Teng, Lingqiao
    Kong, Weifeng
    Peng, Xingyuan
    Liu, Mingming
    2018 IEEE INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE (INTELEC), 2018,
  • [9] Research on the evaluation method of power grid equipment input-output efficiency based on LCC
    Li, Na
    Wang, Xiaoliang
    Li, Chengqi
    Zhang, Weiwei
    Zhang, Zhenjun
    ENERGY REPORTS, 2023, 9 : 1412 - 1418
  • [10] Research on the evaluation method of power grid equipment input-output efficiency based on LCC
    Li, Na
    Wang, Xiaoliang
    Li, Chengqi
    Zhang, Weiwei
    Zhang, Zhenjun
    ENERGY REPORTS, 2023, 9 : 1412 - 1418