Back to Search
Start Over
An improved teaching learning–based optimization algorithm for congestion management with the integration of solar photovoltaic system
- Source :
- Measurement + Control, Vol 53 (2020)
- Publication Year :
- 2020
- Publisher :
- SAGE Publishing, 2020.
-
Abstract
- In restructured power systems, transmission congestion is an imperative issue. Establishment of solar photovoltaic system at appropriate areas is likely to relieve congestion in transmission lines in the restructured power systems. Congestion management technique by utilizing solar photovoltaic sources, using an improved teaching learning–based optimization, is investigated in this article. Bus sensitivity factors which have the direct influence on the congested lines are utilized to locate the solar photovoltaic sources at appropriate areas. Congestion management is figured as an optimization problem with a goal of limiting the congestion management price utilizing the improved teaching learning–based optimization approach, which espouses the self-driven learning principle. IEEE-30 bus test system is simulated and tested in MATLAB environment so as to demonstrate the viability of the suggested methodology than different methodologies.
- Subjects :
- Control and Optimization
Optimization algorithm
Computer science
020209 energy
Applied Mathematics
Photovoltaic system
lcsh:Control engineering systems. Automatic machinery (General)
02 engineering and technology
Congestion management
Transmission congestion
Electric power system
lcsh:TJ212-225
Electric power transmission
lcsh:Technology (General)
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
lcsh:T1-995
020201 artificial intelligence & image processing
ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS
Teaching learning
Instrumentation
Subjects
Details
- Language :
- English
- ISSN :
- 00202940
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- Measurement + Control
- Accession number :
- edsair.doi.dedup.....3a63f81ef400ccb111922b967d20666b