scholarly journals Optimization of location and size of distributed generations for maximizing their capacity and minimizing power loss of distribution system based on cuckoo search algorithm

2021 ◽  
Vol 10 (4) ◽  
pp. 1769-1776
Author(s):  
Thuan Thanh Nguyen ◽  
Trieu Ton Ngoc ◽  
Thang Trung Nguyen ◽  
Thanh-Phuc Nguyen ◽  
Ngoc Au Nguyen
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Search Algorithm ◽  
Distribution Network ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Power Losses ◽  
Distributed Generations ◽  
Test Systems ◽  
Reliable Methods

Maximizing capacity of distributed generations (DGs) embed into distribution network is a solution to attract investment for DGs installation on the distribution system. This paper introduces a approach of optimizing location and capacity of DGs for maximizing DGs capacity and minimizing the system’s power loss based on cuckoo search algorithm (CSA). The proposed problem and method are simulated on two test systems including the 33-node and 69-node networks. The numerical results have demonstrated that the proposed method not only reduces power losses but also maximizes the power of DGs embed into the distribution network. The results also introduce that the proposed CSA method is better performance that some previous methods in terms of power loss and DGs capacity. The results obtained in many independent runs for two test systems indicate that CSA in one of the reliable methods for the DGs placement problems.

scholarly journals Maximum Penetration of Distributed Generations and Improvement of Technical Indicators in Distribution Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Thuan Thanh Nguyen ◽  
Thang Trung Nguyen ◽  
Ngoc Au Nguyen
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Placement Problem ◽  
Distributed Generations ◽  
Technical Indicators ◽  
Power Loss Reduction

Increasing the possible capacity of distributed generations (DGs) supplying to distribution system (DS) is a highly effective solution to attract the investment of distributed generation (DG) installation in the DS. However, the presence of DGs will affect the technical indicators of the DS. This paper determines solutions of the DG placement problem for maximizing the size of distributed generations (DGs) and improving the technical indicators consisting of power loss reduction, increasing of balance among feeders and balance among branches, and voltage deviation reduction. A max-min method is proposed to combine the membership objective functions. The location and size of DGs are optimized based on an improved cuckoo search algorithm (ICSA). The simulation results for the 84-node system show that the proposed multiobjective problem not only helps to increase the capacity of DGs but also improves the technical factors. Moreover, the DG’s uncertainty is also validated to show its negative impacts on the technical indicators of the DS. Furthermore, ICSA is worthy for finding the optimal solution for the DG placement problem.

scholarly journals Power Loss Reduction using Instantaneous Network Reconfiguration and DG Placement with Cuckoo Search Algorithm in Distribution System

2020 ◽  
Vol 8 (6) ◽  
pp. 2393-2398
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Network Reconfiguration ◽  
Radial Distribution System ◽  
Distributed Generator ◽  
Power Loss Reduction

The aim of reducing power loss, enhancing profile of voltage in a radial distribution system at which consumers are connected and also determining the ratings of power, optimal placement of Distributed generator. In this paper to resolve the drop in voltage profile by using network reconfiguration that gives possible switching possibilities with an efficient Cuckoo Search Algorithm (CSA) is discussed and Sensitivity analysis are carried out simultaneously for finding sizing and possible location of distributed generation. To confirm the usefulness of the discussed method it was conducted on radial distribution system of 33 bus connected by various load levels, the result shows that the discussed method is fast and efficient. However to meet power requirement and lack of transmission capabilities importance for DG is rapidly evolving in electrical systems. For reliability and stability for the power system best possible location of Distributed Generator is needed in distribution system. To overcome the shortcomings of mathematical optimization practices, soft computing algorithms have been actively introduced during the last decade.

scholarly journals Simultaneous Allocation Renewable DGs and Capacitor for Typical Indian Rural Distribution Network using Cuckoo Search Algorithm

2018 ◽  
Vol 7 (3.12) ◽  
pp. 1011
Author(s):  
Balamurugan P ◽  
T Yuvaraj ◽  
Muthukannan P
Keyword(s):  
Search Algorithm ◽  
Cuckoo Search ◽  
Distribution Networks ◽  
Cuckoo Search Algorithm ◽  
System Stability ◽  
Quality Enhancement ◽  
Distributed Generations ◽  
Environmental Threats ◽  
Shunt Capacitors ◽  
Power Factor Improvement

Nowadays, simultaneous allocation of renewable distributed generations (REDGs) along with shunt capacitors (SCs) in RDS distribution networks is getting more attention by the researchers. Since it mitigates the system losses, enhance the bus voltages, power factor improvement, power quality enhancement and reduces the environmental threats. In the proposed work an advanced approach is implemented for simultaneous allocation REDGs and SC for Indian 28- rural bus network. For decrease the losses and maximize the system stability  is the  main objective of thispaper. The locations and sizing of theses REDGs and SCs have been determined with help of cuckoo search algorithm (CSA).  

scholarly journals Gravitational Search Algorithm and Selection Approach for Optimal Distribution Network Configuration Based on Daily Photovoltaic and Loading Variation

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Koong Gia Ing ◽  
H. Mokhlis ◽  
H. A. Illias ◽  
M. M. Aman ◽  
J. J. Jamian
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Network Performance ◽  
Search Algorithm ◽  
Distribution Network ◽  
Gravitational Search Algorithm ◽  
Voltage Profile ◽  
Power Loss Reduction ◽  
Gravitational Search ◽  
Pv Generation

Network reconfiguration is an effective approach to reduce the power losses in distribution system. Recent studies have shown that the reconfiguration problem considering load profiles can give a significant improvement on the distribution network performance. This work proposes a novel method to determine the optimal daily configuration based on variable photovoltaic (PV) generation output and the load profile data. A good combination and coordination between these two varying data may give the lowest power loss in the system. Gravitational Search Algorithm (GSA) is applied to determine the optimum tie switches positions for 33-Bus distribution system. GSA based proposed method is also compared with Evolutionary Programming (EP) to examine the effectiveness of GSA algorithm. Obtained results show that the proposed optimal daily configuration method is able to improve the distribution network performance in term of its power loss reduction, number of switching minimization and voltage profile improvement.

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