This paper proposes a relevant method to plane the optimal location and size of the multiple distributed generators (DGs) and shunt capacitors (SCs) as well as the optimal operating power factor for each DG in the distribution systems. The proposed method is aimed at minimizing the power losses. Based on Genetic Algorithm (GA), the proposed method is developed to solve the optimization problem applying the nonlinear objective function and considering the parameter values as the placement and size of DGs and SCs and the power factor of DGs for minimizing power losses of the system subjected to both equality and inequality constraints. In order to check the feasibility, the outlined method is analyzed and tested on IEEE 37-node radial distribution system and the results compared with other tested cases based on the total power losses and the voltage profile at nodes.

Minimizing power losses in distribution systems using GA in planning and operation: A case study for DGs and SCs / Tung, D. D.; Mottola, F.; Testa, A.. - In: INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING. - ISSN 2005-4262. - 10:5(2017), pp. 1-12. [10.14257/ijgdc.2017.10.5.01]

Minimizing power losses in distribution systems using GA in planning and operation: A case study for DGs and SCs

Mottola F.;
2017

Abstract

This paper proposes a relevant method to plane the optimal location and size of the multiple distributed generators (DGs) and shunt capacitors (SCs) as well as the optimal operating power factor for each DG in the distribution systems. The proposed method is aimed at minimizing the power losses. Based on Genetic Algorithm (GA), the proposed method is developed to solve the optimization problem applying the nonlinear objective function and considering the parameter values as the placement and size of DGs and SCs and the power factor of DGs for minimizing power losses of the system subjected to both equality and inequality constraints. In order to check the feasibility, the outlined method is analyzed and tested on IEEE 37-node radial distribution system and the results compared with other tested cases based on the total power losses and the voltage profile at nodes.
2017
Minimizing power losses in distribution systems using GA in planning and operation: A case study for DGs and SCs / Tung, D. D.; Mottola, F.; Testa, A.. - In: INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING. - ISSN 2005-4262. - 10:5(2017), pp. 1-12. [10.14257/ijgdc.2017.10.5.01]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/757527
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