Optimal Allocation of multiple Distribution Generations in Radial distribution systems using Different Optimization Techniques
Ali, S., Mohamed, A., Hemeida, A., Ibrahim, A. (2018). Optimal Allocation of multiple Distribution Generations in Radial distribution systems using Different Optimization Techniques. EKB Journal Management System, 41(2), 133-143. doi: 10.21608/erjm.2018.66299
Shimaa Mohamed Ali; Al-Attar Ali Mohamed; Ashraf Mohamed Hemeida; Abdalla Ahmed Ibrahim. "Optimal Allocation of multiple Distribution Generations in Radial distribution systems using Different Optimization Techniques". EKB Journal Management System, 41, 2, 2018, 133-143. doi: 10.21608/erjm.2018.66299
Ali, S., Mohamed, A., Hemeida, A., Ibrahim, A. (2018). 'Optimal Allocation of multiple Distribution Generations in Radial distribution systems using Different Optimization Techniques', EKB Journal Management System, 41(2), pp. 133-143. doi: 10.21608/erjm.2018.66299
Ali, S., Mohamed, A., Hemeida, A., Ibrahim, A. Optimal Allocation of multiple Distribution Generations in Radial distribution systems using Different Optimization Techniques. EKB Journal Management System, 2018; 41(2): 133-143. doi: 10.21608/erjm.2018.66299

Optimal Allocation of multiple Distribution Generations in Radial distribution systems using Different Optimization Techniques

ERJ. Engineering Research Journal
Article 4, Volume 41, Issue 2, April 2018, Page 133-143  XML PDF (818.94 K)
Document Type: Original Article
DOI: 10.21608/erjm.2018.66299
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Authors
Shimaa Mohamed Ali1; Al-Attar Ali Mohamed2; Ashraf Mohamed Hemeida3; Abdalla Ahmed Ibrahim2
1Faculty of Energy Engineering Aswan University, Egyp
2Faculty of Engineering Aswan University, Egypt
3Faculty of Energy Engineering Aswan University, Egypt
Abstract
This paper presents, Ant Lion Optimizer (ALO), Flower Pollination algorithm (FPA), Whale Optimization Algorithm (WOA), Satin Bowerbird
Algorithm (SBO) and Moth Swarm Optimization(MSA) for determining the optimal location and sizing of DGs to minimize power losses in radial
distribution networks(RDN) and improve the voltage profile. DGs operating at different power factors are considered that is (unity and optimal). The
maintenance, operation and investment costs are formulated to form the total costs of DGs and also all the profits that DG Owner‟s (DGOs) are
considered at the same time. The proposed methods are implemented on IEEE 33, 69 and 119-bus test systems and the obtained results of the
proposed methods are compared with other popular methods available in the literature for validation purpose.
Keywords
Optimization Algorithm; Distributed generation; Radial Distribution system; Power losses reduction
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