Evolutionary Algorithm Based Optimal Location of Series FACTS Device to Reduce the Losses in a Power System

2013 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Smt. Archana. N.V ◽  
Smt.Usha Surendra ◽  
S. S. Parthasarathy
Keyword(s):  
Power System ◽  
Evolutionary Algorithm ◽  
Optimal Location

Impact of Distributed Generation on the Fault Current in Power Distribution System

2017 ◽  
Vol 6 (2) ◽  
pp. 357
Author(s):  
Zuhaila Mat Yasin ◽  
Izni Nadhirah Sam’ón ◽  
Norziana Aminudin ◽  
Nur Ashida Salim ◽  
Hasmaini Mohamad
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Power Distribution ◽  
Distribution System ◽  
Test System ◽  
Optimal Location ◽  
Fault Current ◽  
Double Line ◽  
Power Distribution System ◽  
The Impact

<p>Monitoring fault current is very important in power system protection. Therefore, the impact of installing Distributed Generation (DG) on the fault current is investigated in this paper. Three types of fault currents which are single line-to-ground, double line-to-ground and three phase fault are analyzed at various fault locations. The optimal location of DG was identified heuristically using power system simulation program for planning, design and analysis of distribution system (PSS/Adept). The simulation was conducted by observing the power losses of the test system by installing DG at each load buses. Bus with minimum power loss was chosen as the optimal location of DG. In order to study the impact of DG to the fault current, various locations and sizes of DG were also selected. The simulations were conducted on IEEE 33-bus distribution test system and IEEE 69-bus distribution test system. The results showed that the impact of DG to the fault current is significant especially when fault occurs at busses near to DG location.</p>

scholarly journals Electric Aircraft: Exploiting the Synergy between Powertrain, Energy Management and Structure

2018 ◽  
Vol 233 ◽  
pp. 00026
Author(s):  
Teresa Donateo ◽  
Claudia Lucia De Pascalis ◽  
Antonio Ficarella
Keyword(s):  
Power System ◽  
Evolutionary Algorithm ◽  
Electric Power ◽  
Energy Management ◽  
Unmanned Aerial Vehicle ◽  
Design Process ◽  
Electric Power System ◽  
Multi Objective ◽  
Electric Aircraft ◽  
Aerial Vehicle

This study aims at investigating the synergy between powertrain and structure within the design process of a fixed-wing tail-sitter unmanned aerial vehicle (UAV). The UAV is equipped with a pure-electric power system and has vertical take-off and landing capabilities (VTOL). The problem is addressed by running a contemporary optimization of the parameters of both the powertrain and the UAV’s structure, in order to maximize electric endurance and payload weight through the usage of a performant multi-objective evolutionary algorithm named SMS-EMOA. Three different designs are selected, discussed and compared with literature results on the same UAV to quantify the increase of payload and cruise time that can be obtained by exploiting the synergy between structure and powertrain. The potentiality of furtherly improving payload through the usage of multi-functional panels, while keeping the same endurance, is also quantified and compared with the technologies proposed in literature.

Optimal location of FACTS devices in a power system solved by a hybrid approach

2006 ◽  
Vol 65 (11) ◽  
pp. 2094-2102 ◽  
Author(s):  
J. Baskaran ◽  
V. Palanisamy
Keyword(s):  
Power System ◽  
Hybrid Approach ◽  
Optimal Location ◽  
Facts Devices
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