ISSN: 2776-0979, Volume 4, Issue 4, April., 2023
113
OPTIMIZATION ALGORITHM FOR INTOGRETING DISTRIBUTED
GENERATORS IN RADIAL DISTRIBUTION NETWORK
1
Hasanov M.Yu.,
2
Nurullayev O.U.,
3
Sorimsokov U.S.,
4
Boliyev A.M.,
5
Suyarov A.O.
1, 3,4,5
assistant teacher, Jizzakh Polytechnic
Institute,
Department of "Energy"
2
Senior Lecturer, Jizzakh Polytechnic Institute,
Department of Electrical Technology
ANNOTATION:
This paper introduces a hybrid approach to find the optimal
location and size of
distributed generations (DG) in the radial distribution network (RDN). The proposed
approach is based on the whale optimization algorithm (WOA) technique to calculate
the optimal allocation of DGs and loss sensitivity index (LSI) to obtain the best buses
for DGs installation in RDN.
Keywords:
whale optimization algorithm
distributed generation; photovoltaic; wind
turbines; distribution network.
1. INTRODUCTION
Due to the huge growth in electricity demand, the use of traditional energy sources is
causing environmental problems. These power
units emit huge amounts of
greenhouse gases. With a global concern to reduce addiction to fossil fuels and reduce
climate change, an alternative paradigm for electricity generation has been adopted.
Distribute generation across the radial distribution network (RDN) [1]. The RDN is
the endpoint of the power system. It acts as a link between the power supply area and
individual consumers with unidirectional power flow. Research shows that about 70%
of the total power loss in a power system is attributed to the DS side. A small source
of energy directly connected to the grid or close to the consumer is called "Distributed
Generation (DG)". DG is an attractive replacement for centralized power generation.
DG divisions include both renewable and non-renewable energy sources. DGs have
tremendous technical,
economic, and environmental benefits. These technical and
economic benefits can be achieved by choosing the location, size, and type of DG for
installation in an electrical power system (EPS). The integration
of a DG based on