Wind power integration studies using a multi-stage stochastic electricity system model

被引：0
|
作者：
Meibom, P. [1 ]
Barth, R. [2 ]
Brand, H. [2 ]
Weber, C. [3 ]
机构：
[1] Risoe Int Lab, Roskilde, Denmark
[2] Univ Stuttgart, Inst Energy Econ, Stuttgart, Germany
[3] Univ Duisburg, Energy Managemen, Essen, Germany
来源：
2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10 | 2007年
关键词：
electricity markets; recourse planning; stochastic optimisation; unit commitment; wind power;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A large share of integrated wind power causes technical and financial impacts on the operation of the existing electricity system due to the fluctuating behaviour and unpredictability of wind power. The presented stochastic electricity market model optimises the unit commitment considering four kinds of electricity markets (e.g. a spot and balancing market) and taking into account the stochastic behaviour of the wind power generation and of the prediction error. It can be used for the evaluation of varying electricity prices and system costs due to wind power integration and for the investigation of integration measures.
引用
收藏
页码：2984 / 2987
页数：4
相关论文
共 50 条
  • [21] A multi-stage stochastic optimization model of a pastoral dairy farm
    Dowson, Oscar
    Philpott, Andy
    Mason, Andrew
    Downward, Anthony
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2019, 274 (03) : 1077 - 1089
  • [22] Multi-stage Model for Voltage Control and Reactive Power Ancillary Services Allocation Costs in Electricity Markets
    Gonzalez, A.
    Tovar, J. H.
    Gutierrez, G.
    IEEE LATIN AMERICA TRANSACTIONS, 2015, 13 (09) : 2961 - 2970
  • [23] Combustion modelling for a diesel engine with multi-stage injection using a stochastic combustion model
    Liu, Long
    Horibe, Naoto
    Ishiyama, Takuji
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2014, 228 (05) : 518 - 534
  • [24] A multi-stage stochastic energy management of responsive irrigation pumps in dynamic electricity markets
    Golmohamadi, Hessam
    Asadi, Amin
    APPLIED ENERGY, 2020, 265
  • [25] A Multi-Stage Stochastic Risk Assessment With Markovian Representation of Renewable Power
    Lara, Jose Daniel
    Dowson, Oscar
    Doubleday, Kate
    Hodge, Bri-Mathias
    Callaway, Duncan S.
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2022, 13 (01) : 414 - 426
  • [26] Supply chain planning using multi-stage stochastic programming
    Nagar, Lokesh
    Jain, Karuna
    SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2008, 13 (03) : 251 - 256
  • [27] Electricity Forecasting Using Multi-Stage Estimators of Nonlinear Additive Models
    Thouvenot, Vincent
    Pichavant, Audrey
    Goude, Yannig
    Antoniadis, Anestis
    Poggi, Jean-Michel
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (05) : 3665 - 3673
  • [28] Stochastic Optimization of Wind Turbine Power Factor Using Stochastic Model of Wind Power
    Chen, Peiyuan
    Siano, Pierluigi
    Bak-Jensen, Birgitte
    Chen, Zhe
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2010, 1 (01) : 19 - 29
  • [29] Large Multi-Machine Power System Simulations Using Multi-Stage Adomian Decomposition
    Gurrala, Gurunath
    Dinesha, Disha Lagadamane
    Dimitrovski, Aleksandar
    Sreekanth, Pannala
    Simunovic, Srdjan
    Starke, Michael
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (05) : 3594 - 3606
  • [30] Analysis of a detailed multi-stage model of stochastic gene expression using queueing theory and model reduction
    Ma, Muhan
    Szavits-Nossan, Juraj
    Singh, Abhyudai
    Grima, Ramon
    MATHEMATICAL BIOSCIENCES, 2024, 373
12345