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
  • [31] Short-Term Electricity Demand Forecasting for DanceSport Activities
    Liu, Keyin
    Li, Hao
    Yang, Song
    IEEE ACCESS, 2024, 12 : 99508 - 99516
  • [32] MILP Sensitivity Analysis for Short-Term Scheduling of Batch Plants under Uncertainty
    Zhu, Jin
    Zhang, Xiumei
    Kang, Wei
    ADVANCED MATERIALS SCIENCE AND TECHNOLOGY, PTS 1-2, 2011, 181-182 : 577 - 582
  • [33] CoCos under short-term uncertainty
    Manuel Corcuera, Jose
    Valdivia, Arturo
    STOCHASTICS-AN INTERNATIONAL JOURNAL OF PROBABILITY AND STOCHASTIC REPORTS, 2017, 89 (01): : 207 - 221
  • [34] Short-term Valuation of Demand Response
    Duy Thanh Nguyen
    Negnevitsky, Michael
    de Groot, Martin
    2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [35] A multi-objective model for scheduling of short-term incentive-based demand response programs offered by electricity retailers
    Fotouhi Ghazvini, Mohammad Ali
    Soares, Joao
    Horta, Nuno
    Neves, Rui
    Castro, Rui
    Vale, Zita
    APPLIED ENERGY, 2015, 151 : 102 - 118
  • [36] Management of price uncertainty in short-term generation planning
    Shrestha, G. B.
    Pokharel, B. K.
    Lie, T. T.
    Fleten, S. -E.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2008, 2 (04) : 491 - 504
  • [37] Short-Term Production Optimization Under Water-Cut Uncertainty
    Chaves, Gabriela
    Monteiro, Danielle
    Duque, Maria Clara
    Ferreira Filho, Virgilio
    Baioco, Juliana
    Vieira, Bruno Ferreira
    SPE JOURNAL, 2021, 26 (05): : 3054 - 3074
  • [38] Demand response potential of industrial processes considering uncertain short-term electricity prices
    Germscheid, Sonja H. M.
    Mitsos, Alexander
    Dahmen, Manuel
    AICHE JOURNAL, 2022, 68 (11)
  • [39] Developing a Scenario-Based Demand Response for Short-Term Decisions of Electricity Retailers
    Mahmoudi, Nadali
    Saha, Tapan Kumar
    Eghbal, Mehdi
    2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [40] Impact of Demand Uncertainty on Short-term Operating Cost
    Sarjiya
    Eua-arporn, Bundhit
    ECTI-CON 2008: PROCEEDINGS OF THE 2008 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2008, : 949 - +