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Optimal active and reactive nodal power requirements towards loss minimization under reverse power flow constraint defining DG type
- Source :
- International Journal of Electrical Power & Energy Systems. 78:445-454
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- In this paper a novel approach regarding the optimal penetration of Distributed Generation (DG) in Distribution Networks (DNs) towards loss minimization is proposed. More specific, a Local Particle Swarm Optimization (PSO) variant algorithm is developed in order to define the optimal active and reactive power generation and/or consumption requirements for the optimal number and location of nodes that yield loss minimization. Thus, the proposed approach provides the optimal number, siting and sizing of DGs altogether. In addition, based on the optimal power requirements of the resulted nodes, a combination of potential DG types to be installed is recommended. The proposed objective function in this paper is also innovative since it embeds the constraint of reverse power flow to the slack bus by the formation of a new penalty term. The proposed methodology is applied to 30 and 33 bus systems. The results indicate the optimal number, locations, and capacity of DG units, which were calculated simultaneously. Finally, the impact of the predefined amount of permissible reverse power flow to the optimal solution is also examined through two scenarios: the first considers zero reverse power flow and the second unlimited reverse power flow.
- Subjects :
- Engineering
Mathematical optimization
Distribution networks
business.industry
020209 energy
020208 electrical & electronic engineering
Reverse power flow
Energy Engineering and Power Technology
Particle swarm optimization
02 engineering and technology
AC power
Sizing
Slack bus
Distributed generation
0202 electrical engineering, electronic engineering, information engineering
Loss minimization
Electrical and Electronic Engineering
business
Subjects
Details
- ISSN :
- 01420615
- Volume :
- 78
- Database :
- OpenAIRE
- Journal :
- International Journal of Electrical Power & Energy Systems
- Accession number :
- edsair.doi...........3a29b66f6391909d2c6bb3eab3503273