Fossil fuels cause many negative impacts on the environment. Thus, the integration of renewable energy sources into traditional systems is increasingly prioritized for development. In this paper, Improved Coyote Optimization Algorithm (ICOA) is proposed for finding the most suitable location and the best capacity of photovoltaic distributed generators (PDGs) in radial distribution systems (RDSs). This new algorithm is an upgraded version of Coyote Optimization Algorithm (COA) and it has a better performance, a faster convergence speed and a more stable feature than its original form. The study focuses on the main objective function of minimizing both total active power losses on conductors and the impact of harmonics on node voltage and current flowing in distribution lines. In addition to currents with base frequency, harmonic flows also cause active power loss in distribution lines and the negative impact is also considered in the paper as a novelty. ICOA together with COA and Salp Swarm Algorithm (SSA) are applied for the IEEE 69-node radial distribution system for comparison with other methods in the literature. The comparative analysis sees that ICOA is a powerful method in optimally placing PDGs for reducing power loss and harmonic distortions.

Optimally placing photovoltaic systems in distribution networks considering the influence of harmonics on power losses

Mussetta M.
2021

Abstract

Fossil fuels cause many negative impacts on the environment. Thus, the integration of renewable energy sources into traditional systems is increasingly prioritized for development. In this paper, Improved Coyote Optimization Algorithm (ICOA) is proposed for finding the most suitable location and the best capacity of photovoltaic distributed generators (PDGs) in radial distribution systems (RDSs). This new algorithm is an upgraded version of Coyote Optimization Algorithm (COA) and it has a better performance, a faster convergence speed and a more stable feature than its original form. The study focuses on the main objective function of minimizing both total active power losses on conductors and the impact of harmonics on node voltage and current flowing in distribution lines. In addition to currents with base frequency, harmonic flows also cause active power loss in distribution lines and the negative impact is also considered in the paper as a novelty. ICOA together with COA and Salp Swarm Algorithm (SSA) are applied for the IEEE 69-node radial distribution system for comparison with other methods in the literature. The comparative analysis sees that ICOA is a powerful method in optimally placing PDGs for reducing power loss and harmonic distortions.
Coyote optimization algorithm
Distribution lines
Harmonic distortions
Photovoltaic distributed generator
Power losses
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1208815
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