International Journal of Engineering and Modern Technology (IJEMT )
E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 10 NO. 9 2024
DOI: 10.56201/ijemt.v10.no9.2024.pg73.82
Mamman, Hassan Jatau Jamous, Chimen Sabo
The placement and sizing of renewable energy sources is crucial in solving power and voltage profile problems in the Nigeria power industries. The transmission lines of power systems are more severely loaded than ever before. Hence, the power system is facing many problems such as line overloading, power losses and voltage profile deviation etc. The optimization of real and reactive powers due to the installation of renewable energy sources at the appropriate buses can help to minimize real, reactive power losses and voltage profile deviation. As a result, the deployment of renewable energy sources using improve wind driven optimization algorithm on power network will be considered to mitigate power quality problems. The research work uses Improve Wind Driven Optimization Algorithm to effectively solve power issues in MATLAB software environment. Wind Driven optimization Algorithm is considered for validation purposes. Wind Driven Optimization is a global optimization technique based on atmospheric motion and is a population based iterative heuristic global optimization technique with the ability to apply constraints on search domain for multi-dimensional and multi-modal issues. Therefore, this research aim to bridge the gap by employing IWDO algorithm to solve power quality problems using integrated renewable energy sources. Upon applying the Improved Wind Optimization (IWDO) on the IEEE 30-bus system, there was a reduction in the size of distributed generation (DG) used, 61.25% reduction in real power loss and 57.02% reduction in reactive power loss. The incorporation of renewable energy sources in the optimal power flow problem is crucial for reducing power loss and improving the stability and reliability of power systems thereby contributing to the advancement of sustainable and efficient electricity distribution system.
Renewable Energy, Power Flow, Optimization algorithm, Energy, Power systems
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