Regulation of market clearing price based on nonlinear models of demand bidding and emergency demand response programs

被引:25
|
作者
Aalami, Habib Allah [1 ]
Khatibzadeh, Ahmadali [2 ]
机构
[1] Imam Hussein Univ, Dept Elect & Comp Engn, Tehran, Iran
[2] Shahed Univ, Dept Elect Engn, Tehran, Iran
关键词
demand biding program; emergency demand response program; market clearing price; spot market; STRATEGY;
D O I
10.1002/etep.2216
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
The role of Demand Side Management programs in maximizing the benefits of electricity market participants is underlined in recent decades. After power system restructuring, Demand Side Management has been divided into Demand response (DR) and energy efficiency programs. Developing Demand Bidding (DB) program enables the widespread participation of smart customers and usually is implemented as a market-driven program while Emergency Demand Response Program (EDRP) is usually implemented as a reliability-driven program. The impacts of employing these DR programs, that is, EDRP and DB, on market clearing price have been investigated in this paper. A nonlinear model for DR program is proposed considering both EDRP and DB program. The effectiveness of the proposed model is evaluated on the Garver network and Institute of Electrical and Electronics Engineers (IEEE) 30-bus test system through running a numerical study. Copyright (c) 2016 John Wiley & Sons, Ltd.
引用
收藏
页码:2463 / 2478
页数:16
相关论文
共 50 条
  • [41] Electricity market clearing considering demand response cost of thermostatically controlled loads
    Cheng, Li-Min
    Bao, Yu-Qing
    Guo, Yan-Min
    Zhang, Meng
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 213
  • [42] Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme
    Hajibandeh, Neda
    Shafie-khah, Miadreza
    Badakhshan, Sobhan
    Aghaei, Jamshid
    Mariano, Silvio J. P. S.
    Catalao, Joao P. S.
    ENERGIES, 2019, 12 (07)
  • [43] Development of the Demand Response Programs in Smart Grids with Determination of the Ancillary Services Price for Demand-side
    Sahraie, Elahe
    Zakariazadeh, Alireza
    Souchelmaie, Mohammad Babaie
    34TH INTERNATIONAL POWER SYSTEM CONFERENCE (PSC2019), 2019, : 736 - 742
  • [44] Optimal bidding strategy of electricity retailers using robust optimisation approach considering time-of-use rate demand response programs under market price uncertainties
    Nojavan, Sayyad
    Mohammadi-Ivatloo, Behnam
    Zare, Kazem
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (04) : 328 - 338
  • [45] Two Market Models for Demand Response in Power Networks
    Chen, Lijun
    Li, Na
    Low, Steven H.
    Doyle, John C.
    2010 IEEE 1ST INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2010, : 397 - 402
  • [46] Price-based regulation of oligopolistic markets under discrete choice models of demand
    Stefano Bortolomiol
    Virginie Lurkin
    Michel Bierlaire
    Transportation, 2022, 49 : 1441 - 1463
  • [47] Calculation Method for Electricity Price and Rebate Level in Demand Response Programs
    Takano, Hirotaka
    Yoshida, Naohiro
    Asano, Hiroshi
    Hagishima, Aya
    Nguyen Duc Tuyen
    APPLIED SCIENCES-BASEL, 2021, 11 (15):
  • [48] Price-based regulation of oligopolistic markets under discrete choice models of demand
    Bortolomiol, Stefano
    Lurkin, Virginie
    Bierlaire, Michel
    TRANSPORTATION, 2022, 49 (05) : 1441 - 1463
  • [49] Market selection decisions for inventory models with price-sensitive demand
    Ismail Serdar Bakal
    Joseph Geunes
    H. Edwin Romeijn
    Journal of Global Optimization, 2008, 41 : 633 - 657
  • [50] Demand response programs: Comparing price signals and direct load control
    Miri, Mohammad
    McPherson, Madeleine
    ENERGY, 2024, 288