Distribution system operation for power loss minimization and improved voltage profile with distributed generation and capacitor placements

2011 ◽  
Author(s):  
N. Rugthaicharoencheep ◽  
S. Nedphograw ◽  
W. Wanaratwijit
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Voltage Profile ◽  
Loss Minimization ◽  
System Operation ◽  
Power Loss Minimization ◽  
Distribution System Operation

scholarly journals Power Loss Minimization and Voltage Stability Improvement in Electrical Distribution System via Network Reconfiguration and Distributed Generation Placement Using Novel Adaptive Shuffled Frogs Leaping Algorithm

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 553 ◽  
Author(s):  
Arun Onlam ◽  
Daranpob Yodphet ◽  
Rongrit Chatthaworn ◽  
Chayada Surawanitkun ◽  
Apirat Siritaratiwat ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Network Reconfiguration ◽  
Loss Minimization ◽  
Power Loss Minimization ◽  
Electrical Distribution ◽  
Power Loss Reduction

This paper proposes a novel adaptive optimization algorithm to solve the network reconfiguration and distributed generation (DG) placement problems with objective functions including power loss minimization and voltage stability index (VSI) improvement. The proposed technique called Adaptive Shuffled Frogs Leaping Algorithm (ASFLA) was performed for solving network reconfiguration and DG installation in IEEE 33- and 69-bus distribution systems with seven different scenarios. The performance of ASFLA was compared to that of other algorithms such as Fireworks Algorithm (FWA), Adaptive Cuckoo Search Algorithm (ACSA) and Shuffled Frogs Leaping Algorithm (SFLA). It was found that the power loss and VSI provided by ASFLA were better than those given by FWA, ACSA and SFLA in both 33- and 69-bus systems. The best solution of power loss reduction and VSI improvement of both 33- and 69-bus systems was achieved when the network reconfiguration with optimal sizing and the location DG were simultaneously implemented. From our analysis, it was indicated that the ASFLA could provide better solutions than other methods since the generating process, local and global searching of this algorithm were significantly improved from a conventional method. Hence, the ASFLA becomes another effective algorithm for solving network reconfiguration and DG placement problems in electrical distribution systems.

scholarly journals Impact of Distributed Generation on Network Reconfiguration for Power Loss Minimization in Radial Distribution System by Hybrid Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 8020-8025
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Cuckoo Search ◽  
Network Reconfiguration ◽  
Voltage Profile ◽  
Power Losses ◽  
Loss Minimization ◽  
Power Loss Minimization ◽  
System Power ◽  
Tie Line

Feeder reconfiguration is a planning to change the system configuration by altering the existing tie-line and sectionalizing switches status for minimizing the system losses. Hence, the network reconfiguration is essential in distribution system to minimizing system power losses. Reduction of power loss is much considerable role in power flow of distribution network in evaluating system performance. There are several methods have been proposed for reduction of system power losses and voltage improvement. This paper mainly employs feeder reconfiguration for power loss minimization and voltage improvement using opening and closing tie line and sectionalizing switches by hybrid binary particle swarm and cuckoo search algorithm. As a consequence in this operation, there is significant improvement of voltage profile, freeing up and power loss minimization. The system performance is evaluated and tested in 33 bus system, and simulation is carried out using Matlab simulation platform. For optimal switching strategy, the cuckoo search and hybrid particle swarm optimization algorithm are implemented and showed better improvement in voltage profile, minimization of real power loss and percentage of power loss reduction.

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