A New Hybrid Algorithm Using Chaos-Enhanced Differential Evolution for Loss Minimization with Improvement of Voltage Profile of Distribution Systems

2018 ◽  
pp. 97-111
Author(s):  
S. Mandal ◽  
K. K. Mandal ◽  
B. Tudu
Keyword(s):  
Differential Evolution ◽  
Hybrid Algorithm ◽  
Distribution Systems ◽  
Voltage Profile ◽  
Loss Minimization

Comparison between saturated-iron core and shielded-iron core superconducting fault current limiters on recloser-fuse coordination of radial distribution systems connected with distributed generation

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Aliaa Arafa ◽  
Salah Kamel ◽  
Mohamed M. Aly
Keyword(s):  
Radial Distribution ◽  
Distribution Systems ◽  
Iron Core ◽  
Fault Current ◽  
Voltage Profile ◽  
Loss Minimization ◽  
Distributed Generators ◽  
Fault Current Limiters ◽  
Protection Devices ◽  
Voltage Profile Improvement

Abstract Recently, distributed generators (DGs) are being largely amalgamated with radial distribution systems because of their positive impacts on these systems such as voltage profile improvement and power loss minimization. However, if this integration is not well-planned, it can lead to serious problems in the protection devices. One of these problems is the recloser-fuse miscoordination. This paper presents an effective solution to the recloser-fuse miscoordination due to DGs integration with RDS. The proposed approach is based on suppressing the DG current during fault period so that the contribution of DG to the fault current becomes minimal. Two types of superconducting fault current limiters (SFCLs) namely, saturated iron-core and shielded iron-core SFCLs are studied and a comparison between their performance is presented. The proposed solution was implemented on IEEE 33-bus RDS. All simulation studies are performed on MATLAB script. The simulation results illustrated that saturated iron-core SFCL could not recover recloser-fuse coordination in some of the studied cases. However, shielded iron-core SFCL could successfully restore the recloser-fuse coordination in all the studied cases. This shows that shielded iron-core SFCL is preferred in solving recloser-fuse miscoordination.

scholarly journals A hybrid algorithm for voltage stability enhancement of distribution systems

2022 ◽  
Vol 12 (1) ◽  
pp. 50
Author(s):  
Hazim Sadeq Mohsin Al-Wazni ◽  
Shatha Suhbat Abdulla Al-Kubragyi
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Hybrid Algorithm ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Distribution Networks ◽  
Optimal Operation ◽  
Total Power ◽  
Optimal Size ◽  
Voltage Profile

This paper presents a hybrid algorithm by applying a hybrid firefly and particle swarm optimization algorithm (HFPSO) to determine the optimal sizing of distributed generation (DG) and distribution static compensator (D-STATCOM) device. A multi-objective function is employed to enhance the voltage stability, voltage profile, and minimize the total power loss of the radial distribution system (RDS). Firstly, the voltage stability index (VSI) is applied to locate the optimal location of DG and D-STATCOM respectively. Secondly, to overcome the sup-optimal operation of existing algorithms, the HFPSO algorithm is utilized to determine the optimal size of both DG and D-STATCOM. Verification of the proposed algorithm has achieved on the standard IEEE 33-bus and Iraqi 65-bus radial distribution systems through simulation using MATLAB. Comprehensive simulation results of four different cases show that the proposed HFPSO demonstrates significant improvements over other existing algorithms in supporting voltage stability and loss reduction in distribution networks. Furthermore, comparisons have achieved to demonstrate the superiority of HFPSO algorithms over other techniques due to its ability to determine the global optimum solution by easy way and speed converge feature.

scholarly journals Reconfiguration of distribution system and optimal dg placement DG to enhance voltage profile and reduce losses

2018 ◽  
Vol 7 (2.21) ◽  
pp. 34
Author(s):  
Thummala Ravi Kumar ◽  
Gattu Kesava Rao
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Hybrid Algorithm ◽  
Voltage Profile ◽  
Power Losses ◽  
Loss Minimization ◽  
Swarm Optimization ◽  
System Reconfiguration ◽  
Combined Algorithm ◽  
The Ideal

System reconfiguration which is compelled non linear enhancement issue has been tackled for loss minimization, load balancing, and so on. Another factor of equivalent significance is of DG plays a critical responsibility in the management of distribution system. It’s important to optimize its size and location in order extract maximum benefits of its placement. There are number reasons for optimizing the location and sizing, chief among them being reduce power loss and enhancement of voltage profile. Here a hybrid algorithm is proposed for reconfiguration and DG siting is employed to enhance the benefits of DG placement. Non Sorted Genetic Algorithm (NSGA) is employed to reconfigure the distribution system prior to the placement of DG. Once the system is reconfigured, Particle Swarm Optimization (PSO) is employed to recognize the ideal size and placement of DG. The results exhibit the suitability of this combined algorithm in terms reduced power losses and enhanced voltage profile. Results are compared and analyzed for DG placement with and without reconfiguration for IEEE 69 bus distribution system.  

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