Framework of locality electricity trading system for profitable peer-to-peer power transaction in locality electricity market

被引:23
|
作者
Rao, Bokkisam Hanumantha [1 ]
Arun, Saravana Loganathan [2 ]
Selvan, Manickavasagam Parvathy [1 ]
机构
[1] Natl Inst Technol Tiruchirappalli, Dept EEE, Hybrid Elect Syst Lab, Trichy, Tamil Nadu, India
[2] Siddharth Inst Engn & Technol, Dept EEE, Puttur, Andhra Pradesh, India
关键词
power markets; demand side management; pricing; smart power grids; power generation economics; energy storage; energy management systems; power generation scheduling; locality electricity trading system; profitable peer-to-peer power transaction; locality electricity market; residential consumers; renewable energy usage; renewable power generation units; electricity bill; smart meters; home energy management systems; excess power; smart grid environment; LEM; peer-to-peer energy trading; residential prosumers; profitable price; utility price; LETS; trading agreement; day-ahead power trading schedule; enhanced intelligent residential energy management system; day-ahead P2P energy trading process; HOME ENERGY-MANAGEMENT; DEMAND RESPONSE; LOAD MANAGEMENT; OPTIMIZATION; ARCHITECTURE;
D O I
10.1049/iet-stg.2019.0131
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
This paper proposes an architecture of locality electricity market (LEM) for peer-to-peer (P2P) energy trading among a group of residential prosumers (consumers and producers) with renewable energy resources, smart meters, information and communication technologies, and home energy management systems in a smart residential locality. Prosumers may sell(buy) their excess generation(demand) in LEM at a profitable prices compared to the utility prices in P2P fashion. In order to manage the trading in LEM, a common portal named as locality electricity trading system (LETS) is introduced. The purpose of LETS is to prepare a trading agreement between the participants by fixing a price for every deal based on the quoted price and day-ahead power trading schedule given by the participants. An enhanced intelligent residential energy management system (EIREMS) is proposed at the prosumers' premises to enable their participation in the day-ahead energy trading process and in real-time scheduling of schedulable loads and battery for reducing the electricity bill with due consideration to the operational constraints and LETS agreement. The performances of proposed LETS and EIREMS are validated through a few case studies on a locality with ten prosumers. The proposed methodology endorses marginal economic benefit for all the participants.
引用
收藏
页码:318 / 330
页数:13
相关论文
共 50 条
  • [1] A Blockchain based Peer-to-peer Electricity Trading Mechanism in Residential Electricity Market
    Zhang, Yang
    Yang, Qingyu
    An, Dou
    Li, Donghe
    [J]. 2018 CHINESE AUTOMATION CONGRESS (CAC), 2018, : 2646 - 2651
  • [2] Enabling peer-to-peer electricity trading
    Murkin, Jordan
    Chitchyan, Ruzanna
    Byrne, Alastair
    [J]. PROCEEDINGS OF ICT FOR SUSTAINABILITY 2016, 2016, 46 : 234 - 235
  • [3] Peer-to-Peer Trading in Electricity Networks: An Overview
    Tushar, Wayes
    Saha, Tapan Kumar
    Yuen, Chau
    Smith, David
    Poor, H. Vincent
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (04) : 3185 - 3200
  • [4] Distributed photovoltaics with peer-to-peer electricity trading
    Li, Zhenpeng
    Ma, Tao
    [J]. Energy and Built Environment, 2022, 3 (04): : 424 - 432
  • [5] A Novel Peer-to-Peer Local Electricity Market for Joint Trading of Energy and Uncertainty
    Zhang, Zhong
    Li, Ran
    Li, Furong
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (02) : 1205 - 1215
  • [6] Local electricity market designs for peer-to-peer trading: The role of battery flexibility
    Luth, Alexandra
    Zepter, Jan Martin
    del Granado, Pedro Crespo
    Egging, Ruud
    [J]. APPLIED ENERGY, 2018, 229 : 1233 - 1243
  • [7] A Decentralized Bilateral Energy Trading System for Peer-to-Peer Electricity Markets
    Khorasany, Mohsen
    Mishra, Yateendra
    Ledwich, Gerard
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (06) : 4646 - 4657
  • [8] Designing a decentralized multi-community peer-to-peer electricity trading framework
    Shafiekhani, Morteza
    Qadrdan, Meysam
    Zhou, Yue
    Wu, Jianzhong
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (19) : 3085 - 3096
  • [9] Design and Simulation of Peer-to-Peer Energy Trading Framework with Dynamic Electricity Price
    Zhang, Bidan
    Du, Yang
    Lim, Eng Gee
    Jiang, Lin
    Yan, Ke
    [J]. 2019 29TH AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2019,
  • [10] Peer-to-Peer Trading in Support of Decarbonizing the Electricity Sector
    Tushar, Wayes
    Yuen, Chau
    Saha, Tapan K.
    Poor, H. Vincent
    [J]. Bridge, 2023, 53 (02) : 65 - 72