A multi-agent system providing demand response services from residential consumers

被引:50
作者
Karfopoulos, E. [1 ]
Tena, L. [2 ]
Torres, A. [2 ]
Salas, Pep [3 ]
Gil Jorda, Joan [4 ]
Dimeas, A. [1 ]
Hatziargyriou, N. [1 ]
机构
[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, GR-10682 Athens, Greece
[2] Ateknea Solut Catalonia SA, Catalonia, Spain
[3] Enerbyte Smart Energy Solut, Barcelona, Spain
[4] Wattpic Energia Intelligent, Wattpic, Spain
关键词
Distributed generation; Demand response; Multi-agent; ZigBee nodes and manageable loads; ENERGY MANAGEMENT-SYSTEM; GENERATION;
D O I
10.1016/j.epsr.2014.06.001
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
High share of distributed energy resources (DER) into power systems can significantly modify the net demand profile. Error forecasts of intermittent generation of renewable energy sources (RES) along with the current inelastic behavior of the consumption can provoke considerable network operational issues, such as frequency fluctuations and voltage imbalances. Increasing the noncontrollable DER penetration in network operation requires increased flexible and dispatchable generation capacity for balancing RES generation intermittency. Demand response mechanisms can be an efficient and less costly alternative for handling the grid issues posed by high RES penetration. The aim of this paper is to demonstrate enabling Information and Communication Technologies (ICT) and operational tools for distributed demand management mechanism that allows consumers to participate in grid support without affecting their level of satisfaction. An actual household environment called Mas Roig and located in Llagostera, Spain is used to demonstrate and assess the ICT based demand response mechanism. The results of the implementation are presented and evaluated providing useful insights for a mass deployment of such mechanisms. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:163 / 176
页数:14
相关论文
共 40 条
[21]   Smart Home Energy Management System using IEEE 802.15.4 and ZigBee [J].
Han, Dae-Man ;
Lim, Jae-Hyun .
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2010, 56 (03) :1403-1410
[22]  
Hatziargyriou N, 2008, IEEE POWER ENERGY M, V6, P26, DOI 10.1109/MPE.2008.920383
[23]   A Multiagent Modeling and Investigation of Smart Homes With Power Generation, Storage, and Trading Features [J].
Kahrobaee, Salman ;
Rajabzadeh, Rasheed A. ;
Soh, Leen-Kiat ;
Asgarpoor, Sohrab .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (02) :659-668
[24]   A Multi-Agent System for Controlled Charging of a Large Population of Electric Vehicles [J].
Karfopoulos, Evangelos L. ;
Hatziargyriou, Nikos D. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (02) :1196-1204
[25]   Hardware Demonstration of a Home Energy Management System for Demand Response Applications [J].
Kuzlu, M. ;
Pipattanasomporn, M. ;
Rahman, S. .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (04) :1704-1711
[26]   Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities [J].
Lopes, J. A. Pecas ;
Hatziargyriou, N. ;
Mutale, J. ;
Djapic, P. ;
Jenkins, N. .
ELECTRIC POWER SYSTEMS RESEARCH, 2007, 77 (09) :1189-1203
[27]  
Manickavasagam K., 2011, 2011 1st International Conference on Electrical Energy Systems (ICEES), P212, DOI 10.1109/ICEES.2011.5725330
[28]   Demand Response in Smart Distribution System With Multiple Microgrids [J].
Nunna, H. S. V. S. Kumar ;
Doolla, Suryanarayana .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (04) :1641-1649
[29]   An Adaptive Q-Learning Algorithm Developed for Agent-Based Computational Modeling of Electricity Market [J].
Rahimiyan, Morteza ;
Mashhadi, Habib Rajabi .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2010, 40 (05) :547-556
[30]   Agent-Based Homeostatic Control for Green Energy in the Smart Grid [J].
Ramchurn, Sarvapali D. ;
Vytelingum, Perukrishnen ;
Rogers, Alex ;
Jennings, Nicholas R. .
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2011, 2 (04)