Optimal Power Grid Integration With Distributed Generation Using Genetic Algorithm

被引:0
|
作者
Moloi, K. [1 ]
Jordaan, J. A. [1 ]
Hamam, Y. [1 ]
机构
[1] Tshwane Univ Technol, Dept Elect Engn, Pretoria, South Africa
关键词
Genetic Algorithm; Optimization; Renewable Energy Distributed Generation;
D O I
10.1109/SAUPEC/RobMech/PRASA52254.2021.9377023
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The global energy sector has been faced with energy scarcity challenges over the past few years. This coupled with environmental concerns due to electricity generation using fossil fuels. This has led to the growth of eco-friendly renewable energy distributed generation (REDG) for electricity generation. In the planning of integrating REDG into the distribution power grid, inappropriate sizing and lo-cation of the REDG will result in power system voltage instability, increase in power losses and operational cost increase. It is therefore essential to optimize the location and sizing of REDG for effective performance improvement. In this paper, we propose a genetic algorithm (GA) technique to optimize the size and location of the REDG. The proposed GA technique is validated using the 33 IEEE bus system. From the results obtained it is observed that the active power losses are reduced and the voltage stability of the system is improved
引用
收藏
页数:5
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