MAS based Approach to HEMS Modeling: Application of Social Interaction Mechanism to Demand-side Dynamics

被引:0
|
作者
Kang, Dong Joo [1 ]
Park, Sunju [2 ]
机构
[1] Korea Electrotechnol Res Inst, Smart Power Grid Res Ctr, Uiwang City, South Korea
[2] Yonsei Univ, Dept Business, Seoul, South Korea
关键词
Smart Grid; Microgrid (MG); Social Interaction Mechanism; Home Energy Management System (HEMS); Demand Side Dynamics;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This electronic document is a "live" template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. Microgrid (MG) is becoming a key strategy to implement smart grid as time passes by. MG has been applied to various purposes such as local communities, buildings, factories, etc. HEMS stands for home energy management system and is the application for a home which is the basic unit of residential load. HEMS could be applied to aggregated loads as well as detached houses. An apartment can be a good example. It is composed of hundreds or thousands of individual homes. In this context, it is possible to model a load as an aggregated form of autonomous smaller units. The concept is extendable to other kinds of loads in that all kinds of loads have their sub-units. Therefore, HEMS is the basic building block for multi-agent approach to demand side. Each HEMS is an independent and autonomous agent for the bigger society like an apartment at the upper level. At the same time, it has its subunits like home electronics and is required to manage all the components. HEMS is not only an agent for the bigger part of a load but also an multi-agent system (MAS) by itself. This paper proposes an operation mechanism for HEMS in the context of MAS.
引用
收藏
页数:6
相关论文
共 39 条
  • [21] A model-based approach to unravelling naval defence heritage: supply- and demand-side issues in Portsmouth's coastal zone
    Riley, R
    OCEAN & COASTAL MANAGEMENT, 1999, 42 (10-11) : 891 - 908
  • [22] A methodology of natural gas pipeline network system supply resilience optimization: Based on demand-side and data science-driven approach
    Zhao, Zhiwei
    Yang, Zhaoming
    Su, Huai
    Faber, Michael H.
    Zhang, Jinjun
    Reliability Engineering and System Safety, 2025, 261
  • [23] Improvement of Demand Side Management and Social Welfare Index Using a Flexible Market-Based Approach
    Sahraie, Elahe
    Zakariazadeh, Alireza
    Gholami, Mostafa
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (06) : 7270 - 7280
  • [24] Optimal scheduling in demand-side management based grid-connected microgrid system by hybrid optimization approach considering diverse wind profiles
    Basak, Sourav
    Bhattacharyya, Biplab
    ISA TRANSACTIONS, 2023, 139 : 357 - 375
  • [25] Reviewing the scope and thematic focus of 100 000 publications on energy consumption, services and social aspects of climate change: a big data approach to demand-side mitigation*
    Creutzig, Felix
    Callaghan, Max
    Ramakrishnan, Anjali
    Javaid, Aneeque
    Niamir, Leila
    Minx, Jan
    Mueller-Hansen, Finn
    Sovacool, Benjamin
    Afroz, Zakia
    Andor, Mark
    Antal, Miklos
    Court, Victor
    Das, Nandini
    Diaz-Jose, Julio
    Dobbe, Friederike
    Figueroa, Maria J.
    Gouldson, Andrew
    Haberl, Helmut
    Hook, Andrew
    Ivanova, Diana
    Lamb, William F.
    Maizi, Nadia
    Mata, Erika
    Nielsen, Kristian S.
    Onyige, Chioma Daisy
    Reisch, Lucia A.
    Roy, Joyashree
    Scheelbeek, Pauline
    Sethi, Mahendra
    Some, Shreya
    Sorrell, Steven
    Tessier, Mathilde
    Urmee, Tania
    Virag, Doris
    Wan, Can
    Wiedenhofer, Dominik
    Wilson, Charlie
    ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (03)
  • [26] A duality-based approach for distributed min-max optimization with application to demand side management
    Notarnicola, Ivano
    Franceschelli, Mauro
    Notarstefano, Giuseppe
    2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), 2016, : 1877 - 1882
  • [27] INVESTIGATING SOCIAL DYNAMICS AND GLOBAL CONNECTIVITY: AN AGENT-BASED MODELING APPROACH
    Sokolowski, John A.
    Banks, Catherine M.
    PROCEEDINGS OF THE 2010 WINTER SIMULATION CONFERENCE, 2010, : 733 - 740
  • [28] Building demand-side control using thermal energy storage under uncertainty: An adaptive Multiple Model-based Predictive Control (MMPC) approach
    Kim, Sean Hay
    BUILDING AND ENVIRONMENT, 2013, 67 : 111 - 128
  • [29] DC Microgrid System Modeling and Simulation Based on a Specific Algorithm for Grid-Connected and Islanded Modes with Real-Time Demand-Side Management Optimization
    Bai, Wenshuai
    Sechilariu, Manuela
    Locment, Fabrice
    APPLIED SCIENCES-BASEL, 2020, 10 (07):
  • [30] Cost-worth analytical assessment of demand-side management (DSM) programs, considering energy losses with the structural generation decomposition: A market-based approach
    Ghaznavi, Ali
    Hajiabadi, Mohammad Ebrahim
    Khaliliyan, Mansour
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2018, 28 (08):