ENERGY MANAGEMENT SYSTEM FOR SMART GRIDS INCLUDING RENEWABLE SOURCES AND INDUSTRIAL SYMBIOSIS

被引:0
|
作者
Ferrari, Mario L. [1 ]
Gini, Lorenzo [1 ]
Maccarini, Simone [1 ]
机构
[1] Univ Genoa, Genoa, Italy
来源
PROCEEDINGS OF ASME TURBO EXPO 2023: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2023, VOL 5 | 2023年
关键词
Renewable energy; intelligent control; plant integration; energy storage; HYBRID SYSTEMS; OPTIMIZATION; GENERATION;
D O I
暂无
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 aim of this work regards the development of an energy management system (EMS) for smart grids with a high integration level of renewable sources. Special attention is devoted to waste recycling due to a large industrial symbiosis involving the production of alternative fuels (syngas and biogas). In details, the paper focuses attention on the Eigeroy island (Norway) that will be the demonstration site of the ongoing EU ROBINSON project. The main purpose of this activity is the development of technology integration solutions for decarbonization path, starting from industrialized districts in islands and considering high flexibility for replication issues. The mentioned technology integration is obtained with an EMS able to operate in real-time mode for minimization of energy costs (fuels and electricity). So, this tool includes a minimization subroutine for calculating the optimal operative condition (on/off status for generators and the related set-points) connected with a Model Predictive Control (MPC) software for the real-time calculation of the generator set-points. An innovative approach is the integration of the electrolyzer management scheduling two different pressure levels for the connected hydrogen storage vessel. Simulation results assess the EMS performance and robustness for the innovative integrated layout including the industrial symbiosis. Special attention is devoted to the performance improvement in terms of cost decrease, CO2 emission decrease, and system efficiency increase.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Real-time tool for management of smart polygeneration grids including thermal energy storage
    Ferrari, Mario L.
    Pascenti, Matteo
    Sorce, Alessandro
    Traverso, Alberto
    Massardo, Aristide F.
    APPLIED ENERGY, 2014, 130 : 670 - 678
  • [32] An Efficient Energy Management System For Hybrid Renewable Energy Sources
    Kengam, Sulochana
    Sreejith, S.
    2019 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2019,
  • [33] Residential Energy Management in Smart Grid Considering Renewable Energy Sources and Vehicle-to-Grid Integration
    Melhem, Fady Y.
    Moubayed, Nazih
    Grunder, Olivier
    2016 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC), 2016,
  • [34] Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids
    Chiu, Te-Chuan
    Shih, Yuan-Yao
    Pang, Ai-Chun
    Pai, Che-Wei
    IEEE INTERNET OF THINGS JOURNAL, 2017, 4 (02): : 374 - 383
  • [35] Optimal energy management via day-ahead scheduling considering renewable energy and demand response in smart grids
    Hua, Lyu-Guang
    Alghamdi, Hisham
    Hafeez, Ghulam
    Ali, Sajjad
    Khan, Farrukh Aslam
    Khan, Muhammad Iftikhar
    Jun, Liu
    ISA TRANSACTIONS, 2024, 154 : 268 - 284
  • [36] Energy management including photovoltaic panel and energy storage for smart grids through mobile application
    Eggea, Rodrigo Fagundes
    Ferreira, Mauricio
    Aoki, Alexandre Rasi
    Riella, Rodrigo Jardim
    2015 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA (ISGT LATAM), 2015, : 177 - 181
  • [37] Online distributed neurodynamic optimization for energy management of renewable energy grids
    Chang, Xinyue
    Xu, Yinliang
    Sun, Hongbin
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 130
  • [38] Renewable energy management in smart grids by using big data analytics and machine learning
    Mostafa, Noha
    Ramadan, Haitham Saad Mohamed
    Elfarouk, Omar
    MACHINE LEARNING WITH APPLICATIONS, 2022, 9
  • [39] Joint energy management with integration of renewable energy sources considering energy and reserve minimization
    Ahmed, Halkawt Abdalqadir kh
    Taqi, Karzan Mohammed
    Hassan, Arfan M. Salih
    Khaki, Mehrdad
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 232
  • [40] Modeling and analysis of a smart grid monitoring system for renewable energy sources
    Kabalci, Yasin
    Kabalci, Ersan
    SOLAR ENERGY, 2017, 153 : 262 - 275