Peer-to-Peer Energy Trading of a Community Connected with an AC and DC Microgrid

被引:13
|
作者
Kuruseelan, S. [1 ]
Vaithilingam, C. [1 ]
机构
[1] Vellore Inst Technol, Sch Elect Engn, Chennai 632014, Tamil Nadu, India
关键词
peer-to-peer energy trading; AC community; DC community; PV penetration; CHALLENGES; MARKETS; INDIA; MODEL;
D O I
10.3390/en12193709
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
The awareness of self-consumption of grid-connected roof-top solar photovoltaic (PV) owners in a community and the advancement in information and communication technologies (ICT) led to the development of a novel peer-to-peer energy trading mechanism for next-generation power systems. In the peer-to-peer (P2P) energy trading landscape, the prosumers and consumers self-organize and trade energy among themselves. In recent years, the large penetration of distributed energy resources, as well as the advancement of technologies in the fields of protection, power electronics, and storage devices, led to the use of direct current (DC) home appliances by the end-users, i.e., consumers in a community. In this paper, the operational costs of an individual household and community when operated with alternating current (AC) and DC home appliances are calculated using bill sharing and the mid-market rate method for various degrees of PV penetration. The bill sharing method shares the operational cost and income among all the peers in proportion to the amount of energy they consume/generate. The mid-market rate method calculates the P2P internal price at the median of the import and export price based on the relationship between total generation and demand. In terms of operational cost, both producers and consumers benefit fairly when the mid-market rate method is used when the households in a community are operated with DC home appliances.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] A Rule-Based Bionic Energy Management System for Grid-Connected Community Microgrid Using Peer-to-Peer Trading With Rapid Settlement
    Liu, Bin
    Wang, Dan
    Zhu, Jinli
    Gu, Bo
    Mao, Chengxiong
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2024, 15 (01) : 215 - 235
  • [22] Peer-to-Peer energy trading strategy for energy balance service provider (EBSP) considering market elasticity in community microgrid
    Wang, Zibo
    Yu, Xiaodan
    Mu, Yunfei
    Jia, Hongjie
    Jiang, Qian
    Wang, Xiaoyu
    APPLIED ENERGY, 2021, 303
  • [23] A fully decentralized demand response and prosumer peer-to-peer trading for secure and efficient energy management of community microgrid
    Hussain, Jawad
    Huang, Qi
    Li, Jian
    Hussain, Fazal
    Mirjat, Baqir Ali
    Zhang, Zhenyuan
    Ahmed, Syed Adrees
    ENERGY, 2024, 312
  • [24] State-of-the-art Analysis and Perspectives for Peer-to-peer Energy Trading Technology in Urban Community Microgrid System
    Jia H.
    Wang Z.
    Yu X.
    Mu Y.
    Xu X.
    Wang X.
    Gaodianya Jishu/High Voltage Engineering, 2022, 48 (07): : 2453 - 2468
  • [25] Integration of prosumer peer-to-peer trading decisions into energy community modelling
    Pena-Bello, Alejandro
    Parra, David
    Herberz, Mario
    Tiefenbeck, Verena
    Patel, Martin K.
    Hahnel, Ulf J. J.
    NATURE ENERGY, 2022, 7 (01) : 74 - 82
  • [26] Peer-to-peer energy trading in a community based on deep reinforcement learning
    Wang, Yiqun
    Yang, Qingyu
    Li, Donghe
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2023, 15 (06)
  • [27] A Robust Decentralized Peer-to-Peer Energy Trading in Community of Flexible Microgrids
    Saatloo, Amin Mansour
    Mirzaei, Mohammad Amin
    Mohammadi-Ivatloo, Behnam
    IEEE SYSTEMS JOURNAL, 2023, 17 (01): : 640 - 651
  • [28] Integration of prosumer peer-to-peer trading decisions into energy community modelling
    Alejandro Pena-Bello
    David Parra
    Mario Herberz
    Verena Tiefenbeck
    Martin K. Patel
    Ulf J. J. Hahnel
    Nature Energy, 2022, 7 : 74 - 82
  • [29] Peer-to-Peer Energy Markets: Understanding the Values of Collective and Community Trading
    Wilkins, Denise J.
    Chitchyan, Ruzanna
    Levine, Mark
    PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), 2020,
  • [30] Sustainable microgrid design with peer-to-peer energy trading involving government subsidies and uncertainties
    Yu, Vincent F.
    Le, Thi Huynh Anh
    Gupta, Jatinder N. D.
    RENEWABLE ENERGY, 2023, 206 : 658 - 675