Demand response scheduling of copper production under short-term electricity price uncertainty

被引:4
|
作者
Germscheid, Sonja H. M. [1 ,2 ]
Roeben, Fritz T. C. [1 ,2 ]
Sun, Han [1 ,2 ]
Bardow, Andre [1 ,3 ,5 ]
Mitsos, Alexander [1 ,3 ,4 ]
Dahmen, Manuel [1 ]
机构
[1] Forschungszentrum Julich, Inst Energy & Climate Res, Energy Syst Engn IEK 10, D-52425 Julich, Germany
[2] Rhein Westfal TH Aachen, D-52062 Aachen, Germany
[3] JARA ENERGY, D-52425 Julich, Germany
[4] Rhein Westfal TH Aachen, Proc Syst Engn AVTSVT, D-52074 Aachen, Germany
[5] Swiss Fed Inst Technol, Energy & Proc Syst Engn, CH-8092 Zurich, Switzerland
关键词
Stochastic programming; Scheduling optimization; Resource-task network; Price uncertainty; Copper production; SCENARIO REDUCTION; STOCHASTIC OPTIMIZATION; LINEAR-PROGRAMS; ENERGY; RISK; PROCUREMENT; GENERATION; MARKET; MODEL;
D O I
10.1016/j.compchemeng.2023.108394
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Marketing demand response of industrial processes on electricity spot markets can reduce operational cost. We apply our simultaneous day-ahead and intraday electricity market participation approach (Germscheid et al., AIChE J. 2022;68:e17828) to analyze the demand response potential of power-intensive copper production with our previously derived resource-task network model (Roben et al., J. CLEAN. PROD. 2022;362:132221). Specifically, we tackle intraday price uncertainty by stochastic scheduling optimization considering both risk-neutral and risk-averse market participation. Risk-averse participation allows for 1.9% weekly savings compared to only participating on the day-ahead market. Risk-neutral participation allows for 6.4% savings, but is connected to higher financial risks on weekends. Moreover, we show that load-shifting capabilities significantly depend on modeling on/off decisions either as first or second-stage integer decisions and that sequential day-ahead and intraday scheduling allows to participate in both markets while balancing financial risk, expected cost, and computational complexity compared to stochastic scheduling.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Short-term scheduling of chemical process including uncertainty
    Ierapetritoo, Marianthi G.
    Jia, Zhenya
    CONTROL ENGINEERING PRACTICE, 2007, 15 (10) : 1207 - 1221
  • [42] Proactive approach to address the uncertainty in short-term scheduling
    Bonfill, A.
    Espuna, A.
    Puigjaner, L.
    COMPUTERS & CHEMICAL ENGINEERING, 2008, 32 (08) : 1689 - 1706
  • [43] A Review of Short-term Electricity Price Forecasting Techniques in Deregulated Electricity Markets
    Hu, Linlin
    Taylor, Gareth
    Wan, Hai-Bin
    Irving, Malcolm
    UPEC: 2009 44TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, 2009, : 145 - 149
  • [44] Integration of Price-Based Demand Response in DisCos' Short-Term Decision Model
    Safdarian, Amir
    Fotuhi-Firuzabad, Mahmud
    Lehtonen, Matti
    IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (05) : 2235 - 2245
  • [45] Forecast of Short-Term Electricity Price Based on Data Analysis
    Wu, Shuang
    He, Li
    Zhang, Zhaolong
    Du, Yu
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [46] Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders
    Wang, Long
    Zhang, Zijun
    Chen, Jieqiu
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (04) : 2673 - 2681
  • [47] Hybrid Model for Very Short-Term Electricity Price Forecasting
    Hamilton, Geoffrey
    Abeygunawardana, Anula
    Jovanovic, Dejan P.
    Ledwich, Gerard F.
    2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [48] Dynamic Hybrid Model for Short-Term Electricity Price Forecasting
    Cerjan, Marin
    Matijas, Marin
    Delimar, Marko
    ENERGIES, 2014, 7 (05) : 3304 - 3318
  • [49] Online Load Scheduling Under Price and Demand Uncertainty in Smart Grid
    Beth, Amrit S.
    Rajawat, Ketan
    2016 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS (SPCOM), 2016,
  • [50] Two-Phase Short-term Scheduling of Renewable Energy Resources and Demand Response
    Galvan, E.
    Alcaraz, G. G.
    Cabrera, N. G.
    IEEE LATIN AMERICA TRANSACTIONS, 2015, 13 (01) : 181 - 187