Supervised evolutionary programming based technique for multi-DG installation in distribution system
| Autor: | F. A. Jamaludin, A. V. Senthil Kumar, Shahrizal Jelani, Muhamad Faliq Mohamad Nazer, Ismail Musirin, Mohd Helmi Mansor, Muhammad Firdaus Shaari |
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| Rok vydání: | 2020 |
| Předmět: |
Optimization
Mathematical optimization Power loss Information Systems and Management Distributed generators Computer science Consumer demand Distribution system Installation Artificial Intelligence Control and Systems Engineering Order (business) Evolutionary programming Electrical and Electronic Engineering MATLAB computer computer.programming_language |
| Popis: | Installing DG in network system, has supported the distribution system to provide the increasing number of consumer demand and load, in order to achieve that this paper presents an efficient and fast converging optimization technique based on a modification of traditional evolutionary programming method for obtain the finest optimal location and power loss in distribution systems. The proposed algorithm that is supervised evolutionary programming is implemented in MATLAB and apply on the 69-bus feeder system in order to minimize the system power loss and obtaining the best optimal location of the distributed generators. |
| Databáze: | OpenAIRE |
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