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

被引:2
|
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
  • [1] Price formation in short-term electricity market scheduling
    Bashi, Mazaher Haji
    Gharibpour, Hassan
    Lyons, Padraig
    Rahmati, Iman
    Doostizadeh, Meysam
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2023, 223
  • [3] Efficient short-term scheduling of multiproduct batch plants under demand uncertainty
    Zhu, Jin
    Gu, Xingsheng
    Jiao, Bin
    [J]. PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2008, 18 (04) : 487 - 493
  • [4] Robust short-term scheduling of multiproduct batch plants under demand uncertainty
    Vin, JP
    Ierapetritou, MG
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2001, 40 (21) : 4543 - 4554
  • [5] Short-term forecast of daily curves of electricity demand and price
    Aneiros, German
    Vilar, Juan
    Rana, Paula
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 80 : 96 - 108
  • [6] Optimal Scheduling of a Virtual Power Plant with Demand Response in Short-Term Electricity Market
    Rashidizadeh-Kermani, Homa
    Shafie-Khah, Miadreza
    Osorio, Gerardo J.
    Catalao, Joao P. S.
    Vahedipour-Dahraie, Mostafa
    [J]. 20TH IEEE MEDITERRANEAN ELETROTECHNICAL CONFERENCE (IEEE MELECON 2020), 2020, : 599 - 604
  • [7] A robust optimization approach for short-term scheduling of batch plants under demand uncertainty?
    Zhu, Jin
    Gu, Xingsheng
    Gu, Wei
    [J]. KYBERNETES, 2011, 40 (5-6) : 860 - 870
  • [8] Properties of short-term TOU price elasticities of electricity demand and their application
    Shanghai Jiaotong University, Shanghai 200030, China
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2007, 31 (10): : 32 - 35
  • [9] Estimating the Short-term Price Elasticity of Residential Electricity Demand in Iran
    Rouhani, Anise
    Mashhadi, Habib Rajabi
    Feizi, Mehdi
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2022, 2022
  • [10] Short-Term Scheduling of Microgrids in the Presence of Demand Response
    Talari, Saber
    Shafie-khah, Miadreza
    Haghifam, Mahmoud R.
    Yazdaninejad, Mohsen
    Catalao, Joao P. S.
    [J]. 2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE), 2017,