A new optimal allocation of DGs in distribution networks by using coot bird optimization method

被引：8
作者：
Memarzadeh G. [1 ]
Arabzadeh M. [1 ]
Keynia F. [2 ]
机构：
[1] Department of Power and Control Engineering, Graduate University of Advanced Technology, Kerman
[2] Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman
来源：
Energy Informatics | 2023年 / 6卷 / 01期
关键词：
Coot bird optimization method; Distributed generation; Distribution system; Optimal placement; Power loss;
D O I：
10.1186/s42162-023-00296-x
中图分类号：
学科分类号：
摘要：
Energy is one of the most important topics in the world today and is considered as one of the most effective factors for the development of countries. Due to the limitation of non-renewable energy sources and undesirable effects of consuming these resources on the environment, the strategy of countries has changed towards the use of renewable energy. Renewable energy sources do not decrease over time and operate independently of price fluctuations and are more available, thus being able to play a greater role in modern power systems. Therefore, the optimal location and use of these resources will have an impact on modifying the parameters of the power grid. In this paper an analytical approach for optimal placement and sizing of distributed generation (DG) in power distribution networks to minimize the power loss, bus voltage limits, DG capacity limits, current limits, and DG penetration limit. In the first step, determines the DG capacity causing maximum benefit at different buses, and then selects the best location for DG placement which corresponds to highest benefit in the buses. This method is applicable for sizing and siting of single as well as multiple DG units. The coot bird optimization method (CBOM) is proposed for solving optimal placement, size, and power factor (PF) of DG in distribution network. The suggested method is tested on the IEEE 33-bus, 69-bus, Distribution Networks. The proposed CBOM method has good performance to find optimal placement, size, and PF of DG and it can be applied for various distribution system. © 2023, Springer Nature Switzerland AG.
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