A user-mode distributed energy management architecture for smart grid applications

被引:107
作者
Alagoz, B. B. [1 ]
Kaygusuz, A. [1 ]
Karabiber, A. [2 ]
机构
[1] Inonu Univ, Malatya, Turkey
[2] Bingol Univ, Ankara, Turkey
关键词
Energy balance; Probabilistic analysis for smart grids; Energy reliability and efficiency; Distributed generation; Distributed storage; POWER-LINE COMMUNICATION; WIND POWER; ELECTRICITY; GENERATION; SYSTEMS; PERFORMANCE; TRANSMISSION; IMPACTS;
D O I
10.1016/j.energy.2012.06.051
中图分类号
O414.1 [热力学];
学科分类号
摘要
Future smart grids will require a flexible, observable, and controllable network architecture for reliable and efficient energy delivery under uncertain conditions. They will also necessitate variability in distributed energy generators and demand-side loads. This study presents a tree-like user-mode network architecture responding to these requirements. The approaches presented for the next-generation grid architecture facilitate the management of distributed generation strategies based on renewable sources, distributed storage, and demand-side load management. The authors draw a framework for the future digital power grid concept and assess its viability in relation to volatile, diverse generation and consumption possibilities. In this sense, probabilistic energy balance analyses of tree-like user-mode networks with a stochastic end-user population are conducted to investigate the energy reliability of the proposed grid. A case study based on published generation and consumption profile data is also presented, and several generation scenarios formed by variants of this data are discussed. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:167 / 177
页数:11
相关论文
共 57 条
[1]   Can microgrids make a major contribution to UK energy supply? [J].
Abu-Sharkh, S ;
Arnold, RJ ;
Kohler, J ;
Li, R ;
Markvart, T ;
Ross, JN ;
Steemers, K ;
Wilson, P ;
Yao, R .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2006, 10 (02) :78-127
[2]  
[Anonymous], IEEE T SMART GRID
[3]   Optimised model for community-based hybrid energy system [J].
Ashok, S. .
RENEWABLE ENERGY, 2007, 32 (07) :1155-1164
[4]   Validated real-time energy models for small-scale grid-connected PV-systems [J].
Ayompe, L. M. ;
Duffy, A. ;
McCormack, S. J. ;
Conlon, M. .
ENERGY, 2010, 35 (10) :4086-4091
[5]   Future development of the electricity systems with distributed generation [J].
Bayod-Rujula, Angel A. .
ENERGY, 2009, 34 (03) :377-383
[6]   Energy balance for analysis of complex metabolic networks [J].
Beard, DA ;
Liang, SC ;
Qian, H .
BIOPHYSICAL JOURNAL, 2002, 83 (01) :79-86
[7]   Electricity consumption forecasting in Italy using linear regression models [J].
Bianco, Vincenzo ;
Manca, Oronzio ;
Nardini, Sergio .
ENERGY, 2009, 34 (09) :1413-1421
[8]   Ready or not, here comes the smart grid! [J].
Blumsack, Seth ;
Fernandez, Alisha .
ENERGY, 2012, 37 (01) :61-68
[9]   Assessing the environmental performance and sustainability of bioenergy production in Sweden: A life cycle assessment perspective [J].
Buonocore, Elvira ;
Franzese, Pier Paolo ;
Ulgiati, Sergio .
ENERGY, 2012, 37 (01) :69-78
[10]   A METHOD FOR ESTIMATING THE PERFORMANCE OF PHOTOVOLTAIC SYSTEMS [J].
CLARK, DR ;
KLEIN, SA ;
BECKMAN, WA .
SOLAR ENERGY, 1984, 33 (06) :551-555