scholarly journals Energy Loss Reduction of Distribution Systems Equipped with Multiple Distributed Generations Considering Uncertainty using Manta-Ray Foraging Optimization

2021 ◽  
Vol 10 (4) ◽  
pp. 779-787
Author(s):  
Ahmad Eid ◽  
Almoataz Y. Abdelaziz ◽  
Mostafa Dardeer
Keyword(s):  
Energy Loss ◽  
Energy Saving ◽  
Power Factor ◽  
Distribution Systems ◽  
Energy Losses ◽  
Time Varying ◽  
Loss Reduction ◽  
Optimal Power ◽  
Varying Demand ◽  
Manta Ray

This paper has adopted the new bio-inspired Manta-Ray Foraging Optimization (MRFO) algorithm for optimal allocation of multiple Distributed Generation (DG) units attached to Radial Distribution Systems (RDSs) in order to reduce the total energy loss of the studied system. The DG units are optimized to work with a unity power factor (UPF) and optimal power factor (OPF) during a 24-h time-varying demand. The MRFO algorithm optimized single, two, and three DG units. The total energy loss and energy-saving during the time-varying demand are calculated and compared with the original case. The MRFO algorithm behavior is compared to the Particle Swarm Optimization (PSO) and Atom Search Optimization (ASO) algorithms regarding energy loss and energy-saving values. The standard 69-bus RDS is used as a test system. Considerable improvements in energy saving, loss reduction, and voltage profile are achieved after installing DG units, mainly when operating with optimal power factors. The MRFO algorithm achieves energy losses of 817.91, 751.08, and 730.25 kWh with 1, 2, and 3 DG units with UPF allocations, respectively. On the other hand, when the DG units are optimized to work with OPF, the MRFO achieves energy losses of 233.24, 142.08, and 106.79 kWh with the same number of DG units, respectively. Furthermore, the MRFO algorithm has efficient behavior compared with the PSO, ASO, and other algorithms for different operations and conditions.

scholarly journals Energy Loss Reduction of Distribution Systems Equipped with Multiple Distributed Generations Considering Uncertainty using Manta-Ray Foraging Optimization

2021 ◽  
Vol 10 (4) ◽  
pp. 779-787
Author(s):  
Ahmad Eid ◽  
Almoataz Y. Abdelaziz ◽  
Mostafa Dardeer
Keyword(s):  
Energy Loss ◽  
Energy Saving ◽  
Power Factor ◽  
Distribution Systems ◽  
Energy Losses ◽  
Time Varying ◽  
Loss Reduction ◽  
Optimal Power ◽  
Varying Demand ◽  
Manta Ray

This paper has adopted the new bio-inspired Manta-Ray Foraging Optimization (MRFO) algorithm for optimal allocation of multiple Distributed Generation (DG) units attached to Radial Distribution Systems (RDSs) in order to reduce the total energy loss of the studied system. The DG units are optimized to work with a unity power factor (UPF) and optimal power factor (OPF) during a 24-h time-varying demand. The MRFO algorithm optimized single, two, and three DG units. The total energy loss and energy-saving during the time-varying demand are calculated and compared with the original case. The MRFO algorithm behavior is compared to the Particle Swarm Optimization (PSO) and Atom Search Optimization (ASO) algorithms regarding energy loss and energy-saving values. The standard 69-bus RDS is used as a test system. Considerable improvements in energy saving, loss reduction, and voltage profile are achieved after installing DG units, mainly when operating with optimal power factors. The MRFO algorithm achieves energy losses of 817.91, 751.08, and 730.25 kWh with 1, 2, and 3 DG units with UPF allocations, respectively. On the other hand, when the DG units are optimized to work with OPF, the MRFO achieves energy losses of 233.24, 142.08, and 106.79 kWh with the same number of DG units, respectively. Furthermore, the MRFO algorithm has efficient behavior compared with the PSO, ASO, and other algorithms for different operations and conditions.

scholarly journals Analysis of Voltage Unbalance and Energy Loss in Residential Low Voltage Distribution Systems with Rooftop Photovoltaic Systems

2020 ◽  
Vol 190 ◽  
pp. 00033
Author(s):  
Rattanaprapa Charoenwattana ◽  
Umarin Sangpanich
Keyword(s):  
Energy Loss ◽  
Distribution Systems ◽  
Low Voltage ◽  
Energy Losses ◽  
Photovoltaic Systems ◽  
Housing Estate ◽  
Voltage Distribution ◽  
Pv System ◽  
Voltage Unbalance ◽  
Pv Systems

This paper investigates effects of voltage unbalance and energy losses due to the connection of rooftop photovoltaic systems in a low voltage distribution system of a housing estate, which has light loads during daytime. The paper presents a case study of a real distribution power system of housing estate in Thailand. Voltage unbalance and energy losses were simulated by using system characteristic and load data from GIS database of PEA with the DIgSILENT Power Factory program. The key findings of our analysis are as follows. Firstly, the number of installable 1-phase rooftop PV systems varies directly with load density. Secondly, the number of installed 1-phase rooftop PV systems can be increased if the installation locations are closer to the transformer. For 3-phase rooftop PV systems, their installations do not have any effects on the voltage unbalance. Furthermore, system energy loss relates to the load density and PV system installation locations in the same way as the voltage unbalance. The key implication of our study is that the installation of 1-phase rooftop PV system should be granted based on a careful consideration of the installation location and the load density.

Energy Loss Reduction by Conductor Replacement and Capacitor Placement in Distribution Systems

2013 ◽  
Vol 28 (3) ◽  
pp. 2077-2085 ◽  
Author(s):  
Vahid Farahani ◽  
Seyed Hossein Hesamedin Sadeghi ◽  
Hossein Askarian Abyaneh ◽  
Seyed Mohammad Mousavi Agah ◽  
Kazem Mazlumi
Keyword(s):  
Energy Loss ◽  
Distribution Systems ◽  
Loss Reduction ◽  
Capacitor Placement

scholarly journals Optimal Sizing and Siting of DG in Electrical Networks based on Systematic method

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2674-2683
Keyword(s):  
Distributed Generation ◽  
Power Factor ◽  
Distribution Systems ◽  
Electrical Network ◽  
Loss Reduction ◽  
Electrical Networks ◽  
Voltage Profile ◽  
Unity Power Factor ◽  
Electrical Distribution Systems ◽  
Voltage Profile Improvement

In this paper a simple and an efficient technique for determining the size(s) and site(s) for Distributed Generation systems in electrical distribution systems is presented for power loss saving and voltage profile improvement, giving suitable weighing factors to each one of the considered objectives. For this purpose a method of analytic has been developed and used, which is based on change in real and reactive parts in the branch currents caused by the DG located, and is tested on a 69-bus electrical network. Obtained results shows best loss reduction as well as voltage profile enhancement of the network under consideration. Among various power factors assumed, the operation of Distributed Generation corresponding to load power factor can enhances the system performance greatly, compared to that at unity power factor.

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