Demand Response of Integrated Zero-Carbon Power Plant: Model and Method

被引:1
作者
Xia, Rong [1 ]
Dai, Jun [1 ]
Cheng, Xiangjie [2 ]
Fan, Jiaqing [2 ]
Ye, Jing [2 ]
Jia, Qiangang [3 ]
Chen, Sijie [4 ]
Zhang, Qiang [2 ]
机构
[1] State Power Investment Corp Jiangsu Elect Power Co, Nanjing 210008, Peoples R China
[2] Shanghai Power Equipment Res Inst Co Ltd, Shanghai, Peoples R China
[3] Zhengzhou Univ, Sch Elect & Informat Engn, Zhengzhou 450001, Peoples R China
[4] Shanghai Jiao Tong Univ, Dept Elect Engn, Key Lab Control Power Transmiss & Convers, Minist Educ, Shanghai 200240, Peoples R China
关键词
integrated zero-carbon power plant; demand response; Stackelberg game; equilibrium; dichotomy; DIRECT LOAD CONTROL; PRICE; MANAGEMENT;
D O I
10.3390/en17143431
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
An integrated zero-carbon power plant aggregates uncontrollable green energy, adjustable load, and storage energy resources into an entity in a grid-friendly manner. Integrated zero-carbon power plants have a strong demand response potential that needs further study. However, existing studies ignore the green value of renewable energy in power plants when participating in demand response programs. This paper proposed a mathematical model to optimize the operation of an integrated zero-carbon power plant considering the green value. A demand response mechanism is proposed for the independent system operator and the integrated zero-carbon power plants. The Stackelberg gaming process among these entities and an algorithm based on dichotomy are studied to find the demand response equilibrium. Case studies verify that the mechanism activates the potential of the integrated zero-carbon power plant to realize the load reduction target.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Redesign of Virtual Power Plant-led Electricity Demand Response Program
    Wu, Xuanyu
    Yang, Min
    Liang, Liang
    Chen, Jingxian
    PRODUCTION AND OPERATIONS MANAGEMENT, 2025,
  • [42] Optimal Operation of Virtual Power Plant with Considering the Demand Response and Electric Vehicles
    Rana Heydari
    Javad Nikoukar
    Majid Gandomkar
    Journal of Electrical Engineering & Technology, 2021, 16 : 2407 - 2419
  • [43] Cost-benefit Analysis of Virtual Power Plant for Demand Response Scenario
    Tian, Shijun
    Zhang, Gao
    Hu, Yuan
    Ma, Li
    2022 9TH INTERNATIONAL FORUM ON ELECTRICAL ENGINEERING AND AUTOMATION, IFEEA, 2022, : 11 - 14
  • [44] Economic Analysis of a Data Center Virtual Power Plant Participating in Demand Response
    Bajracharya, Labi
    Awasthi, Shekhar
    Chalise, Santosh
    Hansen, Timothy M.
    Tonkoski, Reinaldo
    2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,
  • [45] Power Retailer Air-Conditioning Load Aggregation Operation Control Method and Demand Response
    Kong, Xiangyu
    Sun, Bowei
    Zhang, Jian
    Li, Shupeng
    Yang, Qun
    IEEE ACCESS, 2020, 8 : 112041 - 112056
  • [46] A Low-Carbon Dispatch Strategy for Power Systems Considering Flexible Demand Response and Energy Storage
    Han, Haiteng
    Wei, Tiantian
    Wu, Chen
    Xu, Xiuyan
    Zang, Haixiang
    Sun, Guoqiang
    Wei, Zhinong
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [47] Optimal Demand Response Bidding and Pricing Mechanism: Application for a Virtual Power Plant
    Mnatsakanyan, Ashot
    Kennedy, Scott
    2013 1ST IEEE CONFERENCE ON TECHNOLOGIES FOR SUSTAINABILITY (SUSTECH), 2013, : 167 - 174
  • [48] A Simple Control Method of Waterworks Pump Power Consumption for Demand Response
    Imanaka, Masaki
    Baba, Jumpei
    Shimabuku, Masanori
    Tobaru, Chihiro
    Uezu, Yuma
    2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2015,
  • [49] Power load forecasting method based on demand response deviation correction
    Kong, Xiangyu
    Wang, Zhengtao
    Xiao, Fan
    Bai, Linquan
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 148
  • [50] A Simple Control Method of Waterworks Pump Power Consumption for Demand Response
    Imanaka, Masaki
    Baba, Jumpei
    Shimabuku, Masanori
    Tobaru, Chihiro
    Uezu, Yuma
    2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2015,