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A PSO Based Technique for Optimal Integration of DG into the Power Distribution System
- Source :
- Advances in Neural Networks – ISNN 2020 ISBN: 9783030642204, ISNN
- Publication Year :
- 2020
- Publisher :
- Springer International Publishing, 2020.
-
Abstract
- Integrating renewable energy distributed generation (REDG) into the existing power distribution grid has become a significantly exercise to carry out. This is because of several technical, economic and environmental benefits accruing from it. However, optimal location and sizing of REDG especially photovoltaic (PV) and wind turbine (WT), is still a difficult task due to the natural dependency of these renewable source on meteorological conditions. In this paper, we proposed a technique based on particle swarm optimization (PSO) to solve the location and sizing of REDG problem. The proposed PSO algorithm is used to minimize the power losses and maximize the voltage stability of the power grid distribution system integrated with REDG. The paper also presents a comparison of the proposed method and other related techniques for REDG sizing and location. The proposed method is validated using the IEEE 33 bus systems.
- Subjects :
- Mathematical optimization
Dependency (UML)
Computer science
business.industry
020209 energy
020208 electrical & electronic engineering
Photovoltaic system
Particle swarm optimization
02 engineering and technology
Turbine
Power (physics)
Renewable energy
Distributed generation
0202 electrical engineering, electronic engineering, information engineering
Power grid
Distribution grid
business
Subjects
Details
- ISBN :
- 978-3-030-64220-4
- ISBNs :
- 9783030642204
- Database :
- OpenAIRE
- Journal :
- Advances in Neural Networks – ISNN 2020 ISBN: 9783030642204, ISNN
- Accession number :
- edsair.doi...........66f1265eb922e26d45f71aad73ca28cd