Improving Peak-load Pricing Method for Provincial Transmission and Distribution Network Considering Power Backflow

被引:0
作者
Qian Junjie [1 ]
You Dahai [1 ]
Ruan Bo [2 ]
Zou Qi [1 ]
Liu Hengwei [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, Wuhan 430074, Hubei, Peoples R China
[2] Hubei Elect Power Co Ltd, Res Inst Econ & Technol, Wuhan 430074, Hubei, Peoples R China
来源
2019 3RD INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2019) | 2019年 / 267卷
关键词
D O I
10.1088/1755-1315/267/4/042022
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In view of the power backflow phenomenon in provincial transmission and distribution network caused by the fact that more and more new energy power is connected to the power grid, a provincial network voltage level pricing method considering power backflow is proposed. For exactly describing the complex power transmission relationships among various voltage levels in consideration of power backflow, a new power transmission model is proposed. And the balance parameters of the whole transmission and distribution network are gained based on the transmission data. The problems in cost sharing caused by power backflow are analysed and an improving peak-load pricing method solving the problems is proposed. Conceptions of source point transmission and distribution cost (SPTDC) and load point transmission and distribution cost (LPTDC) are defined. Through calculating the LPTDC in each voltage level, the cost apportionment is accomplished. The case study of a certain provincial power network is carried out and the effectiveness of this pricing method is proved. The results show that this method can recover all the transmission and distribution cost of the network and can authentically reflect the influence of power backflow on the transmission and distribution price.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] A Coordination Optimization Method for Load Shedding Considering Distribution Network Reconfiguration
    Wang, Kai
    Kang, Lixia
    Yang, Songhao
    ENERGIES, 2022, 15 (21)
  • [32] Distributionally robust pricing strategy of peak-valley electricity price considering flexibility of distribution network
    Xu, Weiwei
    Chen, Hongkun
    Tang, Jun
    Chen, Lei
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2024, 44 (12): : 178 - 186
  • [33] POWER SPOT MARKET OPERATION OPTIMIZATION CONSIDERING TIME-SHARING BIDDING GAME OF NEW ENERGY-THERMAL POWER BILATERAL PEAK-LOAD TRADING
    Zhao, Shuqiang
    Song, Jinli
    Wang, Aoer
    Li, Zhiwei
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2024, 45 (10): : 153 - 161
  • [34] Load flow method for distribution network design by considering committed loads
    Jamali, S.
    Javdan, M. R.
    Shateri, H.
    Ghorbani, M.
    PROCEEDINGS OF THE 41ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1 AND 2, 2006, : 856 - +
  • [35] Power Demand Forecasting Considering Actual Peak Load Periods Using Artificial Neural Network
    Octavia, Yuan D. P.
    Afandi, A. N.
    Putranto, Hari
    2018 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTER SCIENCE AND INFORMATICS (EECSI 2018), 2018, : 198 - 203
  • [36] Study on power-transmission curve of wind power transmitted with thermal power considering wind power peak load regulation requirement
    Hou, Tingting
    Li, Yujia
    Zhang, Wei
    Ruan, Bo
    Zhou, Xiaobing
    Luo, Chunjian
    Zhao, Shuang
    2018 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2018, : 1599 - 1603
  • [37] Probabilistic load flow of distribution network considering correlated photovoltaic power output
    Chen, Can
    Wu, Wenchuan
    Zhang, Boming
    Sun, Hongbin
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2015, 39 (09): : 41 - 47
  • [38] A Dynamic Distribution Network Planning Considering Intermittency of Load and Renewable Power Generation
    Ugranli, Faruk
    2018 6TH INTERNATIONAL ISTANBUL SMART GRIDS AND CITIES CONGRESS AND FAIR (ICSG ISTANBUL 2018), 2018, : 86 - 90
  • [39] Assessment method of comprehensive energy saving potential of distribution network considering source-load power uncertainty
    Yang, Jialin
    Li, Huina
    Li, Jizhou
    Hou, Bin
    Zhen, Yong
    INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2020, 21 (06)
  • [40] Uncertainty Quantification Method of Distribution Network Power Flow Considering the Random and Fuzzy Characteristics of Source-load
    Fang X.
    Yan Z.
    Wang H.
    Xu X.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42 (20): : 7509 - 7523