scholarly journals Optimal Placement of Distributed Transformer with STATCOM to Enhance the Efficiency of the Distribution Networks

2019 ◽  
Vol 8 (2) ◽  
pp. 3720-3725 ◽  
Keyword(s):  
Power Generation ◽  
Exponential Growth ◽  
Power Loss ◽  
Distribution Networks ◽  
Load Shedding ◽  
Optimal Placement ◽  
Power Demand ◽  
Loss Minimization ◽  
Protection Scheme ◽  
Overall Efficiency

Due to increase in the population and modernization every year there is exponential growth in the power demand followed by lack of adequate amount of power generation and out dated electrical infrastructure makes weak distribution network to handle the increased power demand. This leads to poor voltage throughout the network, more power loss, load shedding, failure of protection scheme and other power quality related issues. In this paper, optimal placement of DTC with UPFC is carried out to improve the overall efficiency of the network. The analysis is carried out on twenty four bus system using MiPower software. The obtained results are satisfactory in terms of power loss minimization and improvement of the voltage stability.

scholarly journals Multi-Objective Grey Wolf Optimization for Optimal Allocation of Distributed Generators in Distribution Networks

2020 ◽  
Vol 9 (3) ◽  
pp. 664-670
Keyword(s):  
Radial Distribution ◽  
Power Loss ◽  
Distribution Network ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Real Power ◽  
Multi Objective ◽  
Distributed Generators

The power loss in the radial distribution network is appreciable as compared to transmission network. To reduce the power loss in distribution network which is radial in nature, the solution methodology adopted in this paper is optimal placement of distributed generators (DG). The optimization incorporated is Multi-objective Grey Wolf Optimization (MOGWO). The optimization is accomplished for three different cases. In each case two objective functions are simultaneously optimized to obtain non-dominated solutions using Multi-objective Grey Wolf Optimization. Case (1): To minimize the real power loss and maximize the savings obtained due to DG installation. Case (2): To minimize real power loss and maximum voltage deviation in the network. Case (3): To minimize real power loss and rating of DG installed. MOGWO method maintains an archive which contains pareto-optimal solutions. The archive mimics the behaviour of grey wolves. MOGWO method is verified on radial distribution networks. The effectiveness of the optimization method is proven by comparing the results with other optimization methods available in the literature.

scholarly journals Optimal Placement and Optimal Combination of DTC, STATCOM and Line Reconfiguration to Minimize the Power Loss in Distribution Networks

2019 ◽  
Vol 8 (4) ◽  
pp. 11631-11636 ◽  
Keyword(s):  
Power Loss ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Optimal Combination ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Power Loss Reduction ◽  
Network Operation ◽  
Time Variables ◽  
Simulation Package

Due to deregulation, exponential growth in the electricity demand, integration of renewable energy sources, lack of analytical computing facility and expansion of network increases the complexity with poor operation of the network. Existing analytical computing facility is failed to give efficient and accurate results for secure operation of the distribution network. Many researchers are working to give potential solution to improve the performance of network operation considering the real time variables. In this paper minimization of power loss is chosen as objective function. Considering the network parameters the optimal placements with different combination of DTC, STATCOM and line reconfiguration are tested on IEEE-15 bus system using MiPower simulation package. The obtained result shows more than 50% power loss reduction, which leads to efficient and stress free operation of the distribution networks.

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