Development of a Smart Grid Simulation Environment, Part II: Implementation of the Advanced Distribution Management System

被引：11

作者：

Leite J.B. ^{[1
]}

Mantovani J.R.S. ^{[1
]}

机构：

[1] Electrical Engineering Department, UNESP/FEIS, Ilha Solteira, São Paulo

来源：

J. Control Autom. Electr. Syst. | / 1卷 / 96-104期

基金：

巴西圣保罗研究基金会;

关键词：

Advanced distribution management system (DMS); Smart grid; Supervisor; Virtualization;

D O I：

10.1007/s40313-014-0158-y

中图分类号：

学科分类号：

摘要：

A smart grid is an electric power system with high levels of automation, dispersed generation, intelligent monitoring, and control; however, because the distribution networks in operation today do not have these characteristics, studies concerning the control, planning, and operation of the smart grid are difficult to perform. To overcome these practical difficulties, studies investigating the smart grid can be conducted in computational environments that are able to reproduce meticulously the electrical and communicational behaviors expected by the smart grid. Therefore, in this paper, the development of a platform to simulate the advanced distribution management system (DMS) from a reference model for smart grid, which has seven layers, is proposed. Part II of this paper refers to the four upper layers. First, it describes the system layer architecture where all computational hardware is virtualized to create the smart grid simulation environment. Subsequently, the three logical layers, Model, Analysis, and Intelligence, are considered in the construction of the advanced DMS supervisor. The uses of some applications of the supervisor are shown to reveal their potential. © 2014, Brazilian Society for Automatics--SBA.

引用

页码：96 / 104

页数：8

共 14 条

[1]

Baran M.E., Kelley A.W., State estimation for real-time monitoring of distribution systems, IEEE Transactions on Power Systems, 9, 3, pp. 1601-1609, (1994)

[2]

Booth B., Mitchell A., Welcome to ArcGIS, Getting started with ArcGIS, pp. 5-16, (2011)

[3]

Bui N., Castellani A.P., Casari P., Zorzi M., The internet of energy: a web-enable smart grid system, IEEE Network, 26, 4, pp. 39-45, (2012)

[4]

Cespedes R., A reference model for the electrical energy system based on smart grids, IEEE T&D LA, 2012, pp. 1-6, (2012)

[5]

Ebata Y., Hayashi H., Hasegawa Y., Suzuki K., Development of the intranet-based SCADA (supervisory control and data acquisition system) for power system, IEEE Transactions on Power Delivery, 3, pp. 1656-1661, (2000)

[6]

Fan J., Borlase S., The evolution of distribution, IEEE Power and Energy Magazine, 7, 2, pp. 63-68, (2009)

[7]

Glover J.D., Sarma M.S., Overbye T.J., Power distribution, Power system analysis and design, pp. 759-769, (2010)

[8]

Hu Y., Kuh A., Kavcic A., Nakafuji D., Real-time state estimation on micro-grids, IEEE IJCNN, 2011, pp. 1378-1385, (2011)

[9]

IEEE P.E.S., Substation Automation Tutorial (pp, 01–23), (2003)

[10]

Leite J.B., Mantovani J.R.S., State estimation of distribution networks through the real-time measurement of the smart meters, IEEE Grenoble PowerTech, pp. 1-6, (2013)

← 1 2 →