Comparative study between Interior Point and Particle Swarm methods for Optimal Renewable Distributed Generation location
| Autor: | Fateh Mehazzem, Paul Charles, Ted Soubdhan |
|---|---|
| Přispěvatelé: | Laboratoire de Recherche en Géosciences et Energies (LARGE), Université des Antilles (UA) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
Fitness function Busbar Computer science 020209 energy Particle swarm optimization 02 engineering and technology 010501 environmental sciences AC power Grid 01 natural sciences 7. Clean energy Electric power system [SPI]Engineering Sciences [physics] Position (vector) 0202 electrical engineering electronic engineering information engineering [SDU.OTHER]Sciences of the Universe [physics]/Other Interior point method ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences |
| Zdroj: | 2020 6th International Conference on Electric Power and Energy Conversion Systems (EPECS) 2020 6th International Conference on Electric Power and Energy Conversion Systems (EPECS), Oct 2020, Istanbul, Turkey. pp.40-45, ⟨10.1109/EPECS48981.2020.9304522⟩ |
| DOI: | 10.1109/EPECS48981.2020.9304522⟩ |
| Popis: | This paper presents an optimal location of Renewable Distributed Generation (RDG) problem. For this, interior point method (IPM) and particle swarm optimization (PSO) have been used to locate three RDG plants in their optimal location. RDG represent 10.5% of the total load. First, two types of RDG are separately considered: those that inject only active power and ones that inject active power and consume reactive power on the grid. Secondly both types are considered together. The proposed methods are tested on 33 kV distribution busbars from the standard IEEE-30 bus system. Total generation cost has been chosen as the Fitness function allowing the power system to operate under technical and safety conditions. The results obtained are compared with these reported in the literature. They showed that the optimization of the DG position minimizes the cost of generation while reducing active power losses. |
| Databáze: | OpenAIRE |
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