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Energy Management of Virtual Power Plant Considering Distributed Generation Sizing and Pricing
- Source :
- Applied Sciences, Vol 9, Iss 14, p 2817 (2019), Applied Sciences, Volume 9, Issue 14, Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- UID/EMS/00667/2019 The energy management of virtual power plants faces some fundamental challenges that make it complicated compared to conventional power plants, such as uncertainty in production, consumption, energy price, and availability of network components. Continuous monitoring and scaling of network gain status, using smart grids provides valuable instantaneous information about network conditions such as production, consumption, power lines, and network availability. Therefore, by creating a bidirectional communication between the energy management system and the grid users such as producers or energy applicants, it will afford a suitable platform to develop more efficient vector of the virtual power plant. The paper is treated with optimal sizing of DG units and the price of their electricity sales to achieve security issues and other technical considerations in the system. The ultimate goal in this study to determine the active demand power required to increase system loading capability and to withstand disturbances. The effect of different types of DG units in simulations is considered and then the efficiency of each equipment such as converters, wind turbines, electrolyzers, etc., is achieved to minimize the total operation cost and losses, improve voltage profiles, and address other security issues and reliability. The simulations are done in three cases and compared with HOMER software to validate the ability of proposed model. publishersversion published
- Subjects :
- virtual power plant
Energy management
Computer science
020209 energy
02 engineering and technology
Smart grid
lcsh:Technology
lcsh:Chemistry
Virtual power plant
sizing
Materials Science(all)
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
SDG 7 - Affordable and Clean Energy
smart grid
Sizing
Instrumentation
lcsh:QH301-705.5
Operation
Engineering(all)
Fluid Flow and Transfer Processes
Wind power
business.industry
lcsh:T
Process Chemistry and Technology
020208 electrical & electronic engineering
General Engineering
Grid
lcsh:QC1-999
Reliability engineering
Computer Science Applications
Energy management system
operation
Electric power transmission
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
Distributed generation
business
lcsh:Engineering (General). Civil engineering (General)
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 9
- Issue :
- 14
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....248775c579255985d262dcfdf3533504