Time-varying Characteristic Based Load Forecasting Method for Distribution Network with DGs

被引:1
|
作者
Zhao, Mingxin [1 ]
Li, Yang
Chen, Hai [1 ]
Liu, Wei [1 ]
Zhang, Pan
机构
[1] China Elect Power Res Inst, Beijing, Peoples R China
关键词
Load forecasting; Distributed generation; Monte Carlo simulation; Time-varying Characteristic; Superposition method; PERFORMANCE;
D O I
10.4028/www.scientific.net/AMM.448-453.2434
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
Middle-term and long-term load forecasting is important for planning of distribution network. With DG (distributed generation) integrated into network, the net load demand of HV/MV transformers become more complicated, load forecasting encounters greater challenge than ever. Uncertainty of wind and solar power has greatly influenced the load characteristics. A new load forecasting method for distribution network with DGs is proposed in this paper, which concerns time-varying characteristic of DG output power. Firstly, we get the conventional spatial load forecasting results. Then, using Monte Carlo simulation, we get the time-varying characteristic of DG. Lastly, superposing time-varying characteristics of conventional load and DGs, we can get the net-load forecasting result for distribution network.
引用
收藏
页码:2434 / 2438
页数:5
相关论文
共 50 条
  • [31] VRP Routing selection based on time-varying network
    Song Shao-zhong
    Kong Fan-Sen
    2012 WORLD AUTOMATION CONGRESS (WAC), 2012,
  • [32] The role of demand response in optimal sizing and siting of distribution energy resources in distribution network with time-varying load: An analytical approach
    Khoubseresht, Omid
    Shayanfar, Heidarali
    ELECTRIC POWER SYSTEMS RESEARCH, 2020, 180
  • [33] A time-varying neural network for solving minimum spanning tree problem on time-varying network
    Xu, Zhilei
    Huang, Wei
    Wang, Jinsong
    NEUROCOMPUTING, 2021, 466 : 139 - 147
  • [34] A time-varying diffusion index forecasting model
    Wei, Jie
    Zhang, Yonghui
    ECONOMICS LETTERS, 2020, 193
  • [35] Time-Varying Autoregressive Models for Economic Forecasting
    Inayati, Syarifah
    Iriawan, Nur
    Irhamah
    MATEMATIKA, 2024, 40 (03) : 131 - 142
  • [36] A METHOD FOR MEASURING ELECTRON ENERGY DISTRIBUTION IN TIME-VARYING PLASMAS
    MILENIN, VM
    FUJIWARA, M
    KAWAI, Y
    JAPANESE JOURNAL OF APPLIED PHYSICS, 1969, 8 (07) : 974 - &
  • [37] Forecasting Volatility with Time-Varying Coefficient Regressions
    Zhu, Qifeng
    You, Miman
    Wu, Shan
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2020, 2020
  • [38] TIME-VARYING COEFFICIENT MODELS AND THEIR FORECASTING PERFORMANCE
    RIDDINGTON, GL
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 1993, 21 (05): : 573 - 583
  • [39] TIME-VARYING CHARACTERISTIC FREQUENCIES OF TURBULENCE IN THE AORTA
    SAWAGUCHI, H
    YANO, T
    TSUCHIHASHI, K
    KIKKAWA, S
    YAMAGUCHI, T
    SUGAWARA, M
    BIORHEOLOGY, 1986, 23 (05) : 538 - 538
  • [40] Characteristic of Time-varying Plasma Sheath Channel
    Yang, Min
    Li, Xiaoping
    Liu, Yanming
    Shi, Lei
    Wang, Xiaolin
    2012 10TH INTERNATIONAL SYMPOSIUM ON ANTENNAS, PROPAGATION & EM THEORY (ISAPE), 2012, : 575 - 578