Open AccessEnergy harvesting maximization by integration of distributed generation based on economic benefits
Author(s) -
Tarek A. Boghdady,
Samar G. A. Nasser,
Essam El-Din Aboul Zahab
Publication year - 2022
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v25.i2.pp610-625
Subject(s) - distributed generation , particle swarm optimization , matlab , maximization , mathematical optimization , computer science , genetic algorithm , economic dispatch , electricity generation , installation , electric power system , power (physics) , renewable energy , engineering , electrical engineering , mathematics , physics , quantum mechanics , operating system
The purpose of distributed generation systems (DGS) is to enhance the distribution system (DS) performance to be better known with its benefits in the power sector as installing distributed generation (DG) units into the DS can introduce economic, environmental and technical benefits. Those benefits can be obtained if the DG units' site and size is properly determined. The aim of this paper is studying and reviewing the effect of connecting DG units in the DS on transmission efficiency, reactive power loss and voltage deviation in addition to the economical point of view and considering the interest and inflation rate. Whale optimization algorithm (WOA) is introduced to find the best solution to the distributed generation penetration problem in the DS. The result of WOA is compared with the genetic algorithm (GA), particle swarm optimization (PSO), and grey wolf optimizer (GWO). The proposed solutions methodologies have been tested using MATLAB software on IEEE 33 standard bus system.