A market framework to exploit the multi-energy operating reserve of smart energy hubs in the integrated electricity-gas systems

被引:3
|
作者
Hou, Yanqiu [1 ]
Bao, Minglei [1 ]
Sang, Maosheng [1 ]
Ding, Yi [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Peoples R China
关键词
Integrated electricity-gas systems; Smart energy hubs; Multi-energy operating reserve; Reserve clearing; Distributed market; OPTIMAL POWER-FLOW; DAY-AHEAD DISPATCH; NATURAL-GAS; RELIABILITY ASSESSMENT; MODEL; MANAGEMENT; EXPANSION;
D O I
10.1016/j.apenergy.2023.122279
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
Faced with increasing uncertainties in the integrated electricity and gas system (IEGS), the multi-energy operating reserve(MOR), i.e., extra electric and gas reserve capacity, is becoming vitally important to guarantee the reliable operation of the system. Smart energy hubs(SEHs) located at the demand side of the IEGS can adjust their electricity and gas consumption through energy substitution, which has great potential to provide the MOR. Current studies mainly concentrate on the energy trading mechanism among different SEHs in the energy-only market, which may not effectively incentivize SEHs to provide MOR for system operation. Besides, due to the limited energy capacity, SEHs cannot directly participate in the wholesale reserve market along with other large capacity resources, e.g., power plants and gas wells. To address these, a two-stage market framework is proposed for exploiting the multi-energy operating reserve of SEHs. In the first stage, the wholesale market is cleared considering the participation of large-capacity resources to determine the clearing results of MOR. Based on the results, an energy-loss-cost calculation model is developed to measure the value of the specific MOR level. By altering the reserve requirements, the values of different MOR levels can be accordingly calculated to formulate the multi-energy operating reserve demand surface(MOR-DS), which can quantify varying MOR values with different levels of the reserve. With the MOR-DS describing the price elasticity of the MOR, a distributed MOR clearing mechanism is developed in the second stage to determine the quantity and price of the reserve from SEHs. The clearing mechanism is constructed as a distributed optimization model considering optimal collaboration among different SEHs. Case studies verify that the proposed market framework can effectively stimulate SEHs to provide MOP through economic incentives, which can realize the reliability improvement of IEGS and the revenue increase of SEHs.
引用
收藏
页数:21
相关论文
共 50 条
  • [31] Convex Hull Based Robust Security Region for Electricity-Gas Integrated Energy Systems
    Chen, Sheng
    Wei, Zhinong
    Sun, Guoqiang
    Wei, Wei
    Wang, Dan
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (03) : 1740 - 1748
  • [32] Multi-period optimal energy flow for electricity-gas integrated systems considering gas inertia and wind power uncertainties
    Fan, Jiale
    Tong, Xiaoyang
    Zhao, Junbo
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 123
  • [33] Incorporating gas pipeline leakage failure modes in risk evaluation of electricity-gas integrated energy systems
    Tang, Yi
    Zhao, Yuan
    Li, Wenyuan
    Xie, Kaigui
    Yu, Juan
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 144
  • [34] An Interval State Estimation for Electricity-Gas Urban Energy Systems
    Chen, Sheng
    Wei, Zhinong
    Sun, Guoqiang
    Zang, Haixiang
    Zhang, Yong
    Ma, Zhoujun
    [J]. 2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [35] Security region of natural gas network in electricity-gas integrated energy system
    Li, Xue
    Tian, Guoda
    Shi, Qingxin
    Jiang, Tao
    Li, Fangxing
    Jia, Hongjie
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 117 (117)
  • [36] Strategic Trade of Multi-Energy Aggregators with Local Multi-Energy Systems while Participating in Energy and Reserve Markets
    Neyestani, Nilufar
    Coelho, Antonio
    Soares, Filipe
    [J]. 2019 16TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2019,
  • [37] Modeling Energy Demand Dependency in Smart Multi-Energy Systems
    Neyestani, N.
    Damavandi, Maziar Yazdani
    Shafie-Khah, Miadreza
    Catalao, Joao P. S.
    [J]. TECHNOLOGICAL INNOVATION FOR COLLECTIVE AWARENESS SYSTEMS, 2014, 423 : 259 - 268
  • [38] Research on the trading mechanism of regional electricity-gas-heat multi-energy market
    Zhang, Han
    Xue, Song
    Ding, Zeyu
    Ma, Li
    [J]. 2022 9TH INTERNATIONAL FORUM ON ELECTRICAL ENGINEERING AND AUTOMATION, IFEEA, 2022, : 528 - 531
  • [39] Steady state and transient simulation for electricity-gas integrated energy systems by using convex optimisation
    Chen, Sheng
    Wei, Zhinong
    Sun, Guoqiang
    Wang, Dan
    Zang, Haixiang
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (09) : 2199 - 2206
  • [40] Feasible Operation Regions of Electricity-gas Integrated Energy Distribution System
    Liu, Liu
    Wang, Dan
    Meng, Zhengji
    Jia, Hongjie
    Wang, Weiliang
    Fan, Menghua
    [J]. 2019 IEEE MILAN POWERTECH, 2019,