Integrated Resource Planning in the Egyptian Electricity System
Khaled Mohamed Shehata Abdel Gawad;
Abstract
Abstract
In this thesis, swarm based optimization techniques are utilized to develop an accurate and computationally efficient mathematical model using MatLab programming tool to solve the IRP planning for a power system. These include two swarm intelligence techniques; Particle Swarm Optimization (PSO) and Fire Fly Optimization (FFO). The developed IRP model is verified against published results for the future plans of the Indian electricity system.
In this thesis, swarm based optimization techniques are utilized to develop an accurate and computationally efficient mathematical model using MatLab programming tool to solve the IRP planning for a power system. These include two swarm intelligence techniques; Particle Swarm Optimization (PSO) and Fire Fly Optimization (FFO). The developed IRP model is verified against published results for the future plans of the Indian electricity system.
Other data
| Title | Integrated Resource Planning in the Egyptian Electricity System | Other Titles | التخطيط الأمثل لمصادر الطاقة في منظومة الكهرباء المصرية | Authors | Khaled Mohamed Shehata Abdel Gawad | Issue Date | 2018 |
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