Incentive-Based Demand Response Program for Blockchain Network

被引:2
|
作者
Yaghmaee, Mohammad Hossein [1 ]
机构
[1] Ferdowsi Univ Mashhad, Mashhad 9177948974, Iran
来源
IEEE SYSTEMS JOURNAL | 2024年 / 18卷 / 01期
关键词
Blockchains; Bitcoin; Smart grids; Costs; Optimization; Microgrids; Supply and demand; blockchain; demand response (DR); optimization; smart grid; ENERGY; MANAGEMENT; TECHNOLOGY; MECHANISM;
D O I
10.1109/JSYST.2023.3342846
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Blockchain is a peer-to-peer network that maintains a shared and trusted ledger by packaging transactions into blocks. Blockchain technology powers Bitcoin, a decentralized digital currency. Within blockchain networks, miners, and specialized computers validate each new block by solving computationally intensive cryptographic puzzles to confirm the transactions within. To make decisions on the validity of new blocks, a consensus mechanism must be performed, which is a complex and time-consuming operation that consumes a significant amount of electrical energy. In this article, we first evaluate the profitability of Bitcoin miners in terms of energy prices. We then present a mining control algorithm that decides to turn on/off miners based on the energy price, Bitcoin price, and total network hash rate. Additionally, we propose an incentive-based demand response program to effectively control the power load in the network and balance supply and demand. We model the demand response program as a mixed integer linear programming optimization problem. Our simulation results confirm the superiority of the proposed demand response program.
引用
收藏
页码:134 / 145
页数:12
相关论文
共 50 条
  • [21] Characterizing favored users of incentive-based traffic demand management program
    Tian, Ye
    Li, Yudi
    Sun, Jian
    Ye, Jianhong
    TRANSPORT POLICY, 2021, 105 : 94 - 102
  • [22] Optimal energy management of microgrid based wind/PV/diesel with integration of incentive-based demand response program
    Boqtob, Ouassima
    El Moussaoui, Hassan
    El Markhi, Hassane
    Lamhamdi, Tijani
    WIND ENGINEERING, 2023, 47 (02) : 266 - 282
  • [23] Emergency services support of microgrid system to the utility grid through incentive-based demand response program
    Kumar, Deepak
    Verma, Yajvender Pal
    Dhundhara, Sandeep
    Khanna, Rintu
    ENERGY FOR SUSTAINABLE DEVELOPMENT, 2022, 68 : 131 - 149
  • [24] Mixed Incentive-based and Direct Control Framework for EV Demand Response
    Diaz-Londono, Cesar
    Cordoba, Andres
    Vuelvas, Jose
    Ruiz, Fredy
    2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC, 2023,
  • [25] Analysis of Coupon Incentive-Based Demand Response with Bounded Consumer Rationality
    Ming, Hao
    Xie, Le
    2014 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2014,
  • [26] Incentive-based demand response model for maximizing benefits of electricity retailers
    Yanxin CHAI
    Yue XIANG
    Junyong LIU
    Chenghong GU
    Wentao ZHANG
    Weiting XU
    Journal of Modern Power Systems and Clean Energy, 2019, 7 (06) : 1644 - 1650
  • [27] Dynamic Economic Load Dispatch Considering Incentive-based Demand Response
    Sasaki, Yutaka
    Ueoka, Makoto
    Yorino, Naoto
    Zoka, Yoshifumi
    2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2021,
  • [28] Purchase Bidding Strategy for Load Agent With the Incentive-Based Demand and Response
    Jia, Yulong
    Mi, Zengqiang
    Yu, Yang
    Song, Zhuoliang
    Liu, Liqing
    Sun, Chenjun
    IEEE ACCESS, 2019, 7 : 58626 - 58637
  • [29] Incentive-based demand response model for maximizing benefits of electricity retailers
    Chai, Yanxin
    Xiang, Yue
    Liu, Junyong
    Gu, Chenghong
    Zhang, Wentao
    Xu, Weiting
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2019, 7 (06) : 1644 - 1650
  • [30] Design of Incentive-Based Demand Response Programs Using Inverse Optimization
    Murakami, Masaru
    Funaki, Ryohei
    Murata, Junichi
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 2754 - 2759