An Optimized Adaptive Overcurrent Relay Protection in Distribution System Using Choas Based Satin Bowerbird Optimization Algorithm

2021 ◽  
Author(s):  
Manikandan S ◽  
Manigandan T ◽  
S.S. Sivaraju
Keyword(s):  
Optimization Algorithm ◽  
Distribution System ◽  
Relay Protection ◽  
Satin Bowerbird ◽  
Overcurrent Relay

scholarly journals AN OPTIMIZED ADAPTIVE OVERCURRENT RELAY PROTECTION IN DISTRIBUTION SYSTEM USING CHAOS BASED SATIN BOWERBIRD OPTIMIZATION ALGORITHM (C-SBO)

10.6036/10118 ◽  
2022 ◽  
Vol 97 (1) ◽  
pp. 64-70
Author(s):  
Manikandan Selvaraj ◽  
Manigandan Thathan
Keyword(s):  
Distributed System ◽  
Distribution System ◽  
Electrical Power ◽  
Relay Protection ◽  
Vital Role ◽  
Optimization Techniques ◽  
Phase System ◽  
Fault Current ◽  
Satin Bowerbird ◽  
Overcurrent Relay

The increased availability of protections of distributed system is a major role by ensuring the continuity of electrical power supply. The optimization process for a distributed system is to coordinate with overcurrent relay protection with adaptive overcurrent relay model. Here the protection of the system is an important factor since the protection methods play a vital role in distributed systems. The conventional methods discussed the current in the power system to reduce the fault current tolerance value by using various optimization algorithms like Antlion and Butterfly optimization techniques. The distributed three-phase system uses the IEEE bus network with adaptive overcurrent relay model, which produces the best output as compared to the conventional method. Here the particle swarm optimization (C-SBO) procedure is used to improve the relay setting and it reduces the fault current across the relay.

scholarly journals A day-ahead hybrid optimization algorithm for finding the dispatch schedule of VPP in a distribution system

2020 ◽  
Author(s):  
Seyed Iman Taheri ◽  
Lucas Lima Rodrigues ◽  
Mauricio B. C. Salles ◽  
Alfeu Joãozinho Sguarezi Filho
Keyword(s):  
Open Source Software ◽  
Optimization Algorithm ◽  
Distribution System ◽  
Hybrid Optimization ◽  
Genetic Optimization ◽  
Hybrid Optimization Algorithm ◽  
System Operator ◽  
Voltage Deviation ◽  
Ieee Standard ◽  
Load Shape

Distributed renewable generations such as photovoltaic units are electricity generators for installing close to the loads on the distribution system. In this paper, the dispatch function of a non-centralized Virtual Power Plant (VPP) with having a photovoltaic unit in each bus is considered to optimize. This dispatch function is assigned based on the predicted load shape of the next day. A new day-ahead hybrid optimization algorithm is presented to optimize the dispatch function. The proposed algorithm implements a new hybrid combination of Particle Swarm Optimization (PSO) and Genetic Optimization (GA) algorithms simultaneously to benefit both algorithms’ advantages. The objective function is the optimization of the voltage deviation of the VPP. The suggested algorithm is executed on a 13-bus-radial IEEE standard VPP system using MATLAB software coupled with open-source software called Open-DSS. The results show the importance of the proposed algorithm to optimize the voltage deviation of the VPP. The superiority of the proposed algorithm is related to the accuracy and calculation velocity in comparison with the other tested evolutionary algorithms. The Distribution System Operator could map and move towards its full benefits of the increasing integration of DGs with a strategic placement that could keen prosumers on integrating these actions.

Impacts of Distributed Generators on Voltage Sag Analysis

2013 ◽  
Vol 732-733 ◽  
pp. 877-881
Author(s):  
Jenjira Boonnamol ◽  
Thavatchai Tayjasanant
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Distribution System ◽  
Distribution Systems ◽  
Particle Swarm Optimization Algorithm ◽  
Test System ◽  
Voltage Sag ◽  
Swarm Optimization ◽  
Distributed Generators ◽  
Three Phase

This paper presents impacts of distributed generators (DGs) such as synchronous-based DG and inverter-based DG on voltage sag analysis in distribution systems. Voltage sag analysis is assessed through area of vulnerability (AOV), number of sags frequency (NSF) and voltage sag index (SARFI). Single line-to-ground and three-phase faults are investigated. Size and location of DG are carried out by using Particle Swarm Optimization algorithm (PSO) in order to minimize losses and number of sag frequency. Roy Billinton Test System (RBTS) Bus 2 is used for simulation cases. Results show that the distribution system with DG installed improves voltage sag performance compared with the system without DG installed.

Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm

Energy ◽  
2017 ◽  
Vol 133 ◽  
pp. 70-78 ◽  
Author(s):  
Abhishek Awasthi ◽  
Karthikeyan Venkitusamy ◽  
Sanjeevikumar Padmanaban ◽  
Rajasekar Selvamuthukumaran ◽  
Frede Blaabjerg ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Optimization Algorithm ◽  
Distribution System ◽  
Hybrid Optimization ◽  
Optimal Planning ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Hybrid Optimization Algorithm ◽  
Vehicle Charging
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