A New DG Allocation Approach Based on Biogeography-Based Optimization with Considering Fuzzy Load Uncertainty
| Autor: | Mohammad Bakhshipour, Esmaeel Rokrok, Mohammad Sedaghat |
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| Rok vydání: | 2015 |
| Předmět: |
Mathematical optimization
Information Systems and Management Computer science business.industry Particle swarm optimization Imperialist competitive algorithm Biogeography-based optimization Fuzzy logic Sizing Power (physics) Artificial Intelligence Control and Systems Engineering Distributed generation Electrical and Electronic Engineering business Voltage |
| Zdroj: | IAES International Journal of Artificial Intelligence (IJ-AI). 4:89 |
| ISSN: | 2252-8938 2089-4872 |
| DOI: | 10.11591/ijai.v4.i3.pp89-96 |
| Popis: | A new distributed generation placement method based on biogeography-based optimization (BBO) is investigated in this paper. A significant novelty of this study lies in considering fuzzy load uncertainty. For this purpose a fuzzy backward- forward sweep load flow is proposed. The main objectives of this study is minimizing power losses and improving voltage profile. A comparative study between optimal location and sizing under typical load condition and fuzzy load uncertainty is presented. To verify the efficiency of proposed BBO method, it is conducted on IEEE 33 bus distribution system, also a comparative study between proposed BBO approach and particle swarm optimization (PSO), Technical-learning based optimization (TLBO), Artificial bee colony (ABC), Imperialist competitive algorithm (ICA) is investigated. The simulation results show the excellent and superior performance of proposed BBO approach in comparison with the other intelligent methods. |
| Databáze: | OpenAIRE |
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