Multi-objective energy management system for multi-microgrids using blockchain miners: A two-stage peak shaving and valley filling framework

被引:0
|
作者
Rezaei, Payman [1 ]
Golkar, Masoud AliAkbar [1 ]
机构
[1] Department of Electrical Engineering, Energy Management and Distribution Network Laboratory, K. N. Toosi University of Technology, Tehran, Iran
来源
IET Blockchain | 2024年 / 4卷 / S1期
关键词
Blockchain - Investments - Operating costs - Renewable energy;
D O I
10.1049/blc2.12088
中图分类号
学科分类号
摘要
This study presents an innovative energy management framework for multi-microgrids, integrating the burgeoning domain of cryptocurrency mining. Cryptocurrencies, a novel fusion of encryption technology and financial currency, are witnessing exponential global growth. This expansion correlates with a surge in the prevalence of mining activities, amplifying electricity consumption and necessitating accelerated advancements in urban transmission and distribution infrastructures, coupled with increased financial investments. Despite cryptocurrencies' growth, comprehensive research to capitalize on their potential is scarce. This article introduces an operation cost model for miners in the proposed dual-stage framework. The first stage is dedicated to day-ahead scheduling, focusing on peak shaving and valley filling in the electricity demand curve, while concurrently optimizing operational costs. The second stage, updating each 5 min, minimizes imbalances in response to uncertain network conditions. A pivotal feature of this framework is the allocation of revenues generated from mining operations towards enhancing renewable energy resources. Empirical simulations underscore the framework's efficacy, evidenced by a substantial peak shaving of 482.833 kW and valley filling of 4084.42 kW. Furthermore, this approach effectively maintains operational costs within a feasible spectrum. Notably, the demand curve's peak-to-valley distance extends to 4 MW, with the revenue from mining activities alone sufficient to offset operational expenditures. © 2024 The Author(s). IET Blockchain published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
引用
收藏
页码:616 / 631
相关论文
共 50 条
  • [31] Multi-objective operation of distributed generations and thermal blocks in microgrids based on energy management system
    Homayoun, Rohollah
    Bahmani-Firouzi, Bahman
    Niknam, Taher
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (09) : 1451 - 1462
  • [32] Multi-objective energy management system for DC microgrids based on maximum membership degree principle
    Panbao WANG
    Wei WANG
    Nina MENG
    Dianguo XU
    Journal of Modern Power Systems and Clean Energy, 2018, 6 (04) : 668 - 678
  • [33] Two-Step Multi-Objective Management of Hybrid Energy Storage System in All-Electric Ship Microgrids
    Fang, Sidun
    Xu, Yan
    Li, Zhengmao
    Zhao, Tianyang
    Wang, Hongdong
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (04) : 3361 - 3373
  • [34] Multi-objective two-stage grey transportation problem using utility function with goals
    Roy, Sankar Kumar
    Maity, Gurupada
    Weber, Gerhard-Wilhelm
    CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, 2017, 25 (02) : 417 - 439
  • [35] Multi-objective two-stage grey transportation problem using utility function with goals
    Sankar Kumar Roy
    Gurupada Maity
    Gerhard-Wilhelm Weber
    Central European Journal of Operations Research, 2017, 25 : 417 - 439
  • [36] Optimal Load and Energy Management of Aircraft Microgrids Using Multi-Objective Model Predictive Control
    Wang, Xin
    Atkin, Jason
    Bazmohammadi, Najmeh
    Bozhko, Serhiy
    Guerrero, Josep M.
    SUSTAINABILITY, 2021, 13 (24)
  • [37] Multi-objective two-stage stochastic optimization model for post-disaster waste management
    Boonmee, Chawis
    Legsakul, Komkrit
    Arimura, Mikiharu
    PRODUCTION ENGINEERING ARCHIVES, 2023, 29 (01) : 58 - 68
  • [38] Synergistic two-stage optimization for multi-objective energy management strategy of integrated photovoltaic-storage charging stations
    Lyu, Chenghao
    Zhan, Shuhe
    Zhang, Yuchen
    Song, Zhengxiang
    JOURNAL OF ENERGY STORAGE, 2024, 89
  • [39] Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System
    Jose Vivas, Francisco
    Segura, Francisca
    Manuel Andujar, Jose
    Palacio, Adriana
    Luis Saenz, Jaime
    Isorna, Fernando
    Lopez, Eduardo
    ELECTRONICS, 2020, 9 (07) : 1 - 25
  • [40] Two-stage SAR image segmentation framework with an efficient union filter and multi-objective kernel clustering
    Yang, Dongdong
    Fei, Rong
    Yao, Junliang
    Gong, Maoguo
    APPLIED SOFT COMPUTING, 2016, 44 : 30 - 44