DocumentCode
2301485
Title
Review on planning and automation technologies for distributed generation systems
Author
Jin, Tongdan ; Jimenez, Jesus A.
Author_Institution
Ingram Sch. of Eng., Texas State Univ. - San Marcos, San Marcos, TX, USA
fYear
2010
fDate
21-24 Aug. 2010
Firstpage
269
Lastpage
274
Abstract
As renewable energy penetrates the utility market, the electricity industry is undergoing a paradigm shift that will change the industry to generate electricity using distributed generation systems. Consequently, there are new opportunities for enhancing the utility company´s power quality and network reliability, as well as increasing their level of automation. This paper surveys the most recent advances in planning, optimization, and automation for distributed generation systems. Our emphasis is on explaining how renewable sources of energy, such as wind power and solar photovoltaic, are integrated into the distributed generation systems. Our review covers both deterministic and probabilistic methods of planning. Automation in power quality monitoring, network control, and fault detection are discussed. There is an increased interest on using smart grids for distributed energy production, distribution, and consumption. Therefore, our paper identifies critical directions for future research in this area.
Keywords
distributed power generation; power distribution planning; power grids; power supply quality; power system measurement; power system reliability; renewable energy sources; wind power plants; automation technology; deterministic methods; distributed generation systems; electricity industry; fault detection; network reliability; optimization; planning technology; power quality monitoring; probabilistic methods; renewable energy; smart grids; solar photovoltaics; utility market; wind power; Automation; Density estimation robust algorithm; Load modeling; Planning; Power system reliability; Reliability; Stochastic processes; distributed generation; green automation; renewable energy; smart grid; stochastic optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering (CASE), 2010 IEEE Conference on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-5447-1
Type
conf
DOI
10.1109/COASE.2010.5583986
Filename
5583986
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