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
  • [21] Optimal Expansion Planning Model for Integrated Energy System Considering Integrated Demand Response and Bidirectional Energy Exchange
    Dong, Wenkai
    Lu, Zhigang
    He, Liangce
    Zhang, Jiangfeng
    Ma, Tao
    Cao, Xiaobo
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2023, 9 (04): : 1449 - 1459
  • [22] Demand Response Optimization Model to Energy and Power Expenses Analysis and Contract Revision
    Marangoni, Filipe
    Magatao, Leandro
    Ramos de Arruda, Lucia Valeria
    ENERGIES, 2020, 13 (11)
  • [23] Integrated demand response for congestion alleviation in coupled power and transportation networks
    Lv, Si
    Wei, Zhinong
    Chen, Sheng
    Sun, Guoqiang
    Wang, Dan
    APPLIED ENERGY, 2021, 283
  • [24] Optimal dispatch for wind power integrated systems considering demand response
    Bie, Zhaohong, 1600, Automation of Electric Power Systems Press : 115 - 120and159
  • [25] Demand Response and Wind Farm Integrated Economic Dispatch in Power System
    Xing, Haijun
    Cheng, Haozhong
    Zhang, Libo
    TENCON 2015 - 2015 IEEE REGION 10 CONFERENCE, 2015,
  • [26] A simulation-based model for optimal demand response load shifting: a case study for the Texas power market
    Schaperow, Jacob R.
    Gabriel, Steven A.
    Siemann, Michael
    Crawford, Jaden
    JOURNAL OF ENERGY MARKETS, 2019, 12 (04) : 53 - 80
  • [27] Residential virtual power plant with photovoltaic output forecasting and demand response
    Cui, Shichang
    Wang, Yan-Wu
    Lin, Xiangning
    Xiao, Jiang-Wen
    ASIAN JOURNAL OF CONTROL, 2019, 21 (04) : 1906 - 1917
  • [28] Optimal demand response for a virtual power plant with a hierarchical operation framework
    Liu, Xin
    Niu, Zhenyong
    Li, Yang
    Hu, Linlin
    Tang, Junbo
    Cai, Ying
    Zeng, Shunqi
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2024, 39
  • [29] Research on Optimal Operation Model of Virtual Electric Power Plant Considering Net-Zero Carbon Emission
    Wu, Yungao
    Wu, Jing
    De, Gejirifu
    Fan, Wei
    SUSTAINABILITY, 2022, 14 (06)
  • [30] Operational optimisation of integrated solar combined cooling, heating, and power systems in buildings considering demand response and carbon trading
    Pan, Ting
    Oclon, Pawel
    He, Linhuan
    Cisek, Piotr
    Nowak-Oclon, Marzena
    Van Fan, Yee
    Wang, Bohong
    Molnar, Peter
    Toth, Arpad
    Varbanov, Petar Sabev
    ENERGY CONVERSION AND MANAGEMENT, 2024, 315