Improved BFSA for computation of power loss and voltage profile in radial distribution system

2016 ◽  
Author(s):  
Meenu Jayamohan ◽  
K P Drisya ◽  
E. K. Bindumol ◽  
C. A. Babu
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Voltage Profile ◽  
Radial Distribution System

Optimal Capacitors in Radial Distribution System for Loss Reduction and Voltage Enhancement

2016 ◽  
Vol 2 (3) ◽  
pp. 566 ◽  
Author(s):  
S. Bhongade ◽  
Sachin Arya
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Pso Algorithm ◽  
Load Flow ◽  
Base Case ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Case Load

The work presented in this paper is carried out with the objective of identifying the optimal location and size (Kvar ratings) of shunt capacitors to be placed in radial distribution system, to have overall economy considering the saving due to energy loss minimization. To achieve this objective, a two stage methodology is adopted in this paper. In the first stage, the base case load flow of uncompensated distribution system is carried out. On the basis of base case load flow solution, Nominal voltage magnitudes and Loss Sensitivity Factors are calculated and the weak buses are selected for capacitor placement.In the second stage, Particle Swarm Optimization (PSO) algorithm is used to identify the size of the capacitors to be placed at the selected buses for minimizing the power loss. The developed algorithm is tested for 10-bus, 34-bus and 85-bus Radial Distribution Systems. The results show that there has been an enhancement in voltage profile and reduction in power loss thus resulting in much annual saving.

scholarly journals Potential Drop Analysis of a Radial Distribution System with Various Loads

2020 ◽  
Vol 9 (5) ◽  
pp. 1899-1903
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Reactive Power ◽  
Potential Drop ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Bus System

At present the green environment plays a crucial part in fighting against the global warming. The Electric Vehicles which are eco-friendly provides the solution for these environmental issues which promotes low carbon emission. In the present scenario variation of the power flow and voltage profile at specific nodal junctions in a radial distribution system, when Electric Vehicle has been connected as a load is essential This paper shows the potential drop analysis on a distribution system with Electric Vehicle as a load. The results provide the total real power loss, total reactive power loss occurs in the radial test bus system and the voltage magnitude at nodes for an IEEE standard bus system. The Backward/Forward sweep method has been implemented on IEEE test bus radial distribution system. Various types of loads such as residential, commercial, and industrial with Electric Vehicles are considered for testing. The results indicate that a drop in voltage when Electric Vehicles has been integrated into the grid along with other consumers. The programming results has been compared with standard values and found to be satisfactory. Suggestions’ for improving the voltage profile had also included in this paper.

scholarly journals Enhancing radial distribution system performance by optimal placement of DSTATCOM

2020 ◽  
Vol 10 (3) ◽  
pp. 2850
Author(s):  
S. F. Mekhamer ◽  
R. H. Shehata ◽  
A. Y. Abdelaziz ◽  
M. A. Al-Gabalawy
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Optimization Methods ◽  
Optimization Method ◽  
Optimal Placement ◽  
Total Power ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Static Compensator

In this paper, A novel modified optimization method was used to find the optimal location and size for placing distribution Static Compensator in the radial distribution test feeder in order to improve its performance by minimizing the total power losses of the test feeder, enhancing the voltage profile and reducing the costs. The modified grey wolf optimization algorithm is used for the first time to solve this kind of optimization problem. An objective function was developed to study the radial distribution system included total power loss of the system and costs due to power loss in system. The proposed method is applied to two different test distribution feeders (33 bus and 69 bus test systems) using different Dstatcom sizes and the acquired results were analyzed and compared to other recent optimization methods applied to the same test feeders to ensure the effectiveness of the used method and its superiority over other recent optimization mehods. The major findings from obtained results that the applied technique found the most minimized total power loss in system ,the best improved voltage profile and most reduction in costs due power loss compared to other methods .

scholarly journals Optimal distributed generation placement using artificial intelligence for improving active radial distribution system

2021 ◽  
Vol 10 (5) ◽  
pp. 2345-2354
Author(s):  
Fadhel A. Jumaa ◽  
Omar Muhammed Neda ◽  
Mustafa A. Mhawesh
Keyword(s):  
Artificial Intelligence ◽  
Distribution System ◽  
Power Loss ◽  
Network Reliability ◽  
Power Grids ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Distributed Generator ◽  
Optimum Position ◽  
Arbitrary Location

There are several profits of distributed generator (DG) units which are believed for improving the safety of the distribution power grids. However, these profits can be maximized by ensuring optimum sizing and positioning of DG units because an arbitrary location of DG units may adversely affect and jeopardize power grids which could contribute to maximising of power loss and degradation of the voltage profile. Therefore, several approaches were suggested to ensure optimum position and size of DGs. The primary aim of this article is for establishing technique for optimum scheduling and operating of DG to lessen power loss, revamp voltage profile and overall network reliability. Artificial intelligence method called particle swarm optimization (PSO) is utilized for finding the best site and size of DG to lessen power loss and boost the voltage profile. In this paper, IEEE 33 distribution system is utilized to display applicability of PSO. The results of the PSO are compared with the results gotten by other methods in the literature. Finally, the results show that the PSO is superior than the other methods.

Meta-Heuristic BPSO Based Voltage Profile Enhancement in Radial Distribution System Through Network Reconfiguration

2019 ◽  
Vol 20 (6) ◽  
Author(s):  
Mounika Kannan ◽  
Kirithikaa Sampath ◽  
Srividhya Pattabiraman ◽  
K Narayanan ◽  
Tomonobu Senjyu
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Heuristic Method ◽  
Binary Particle Swarm Optimization ◽  
Voltage Profile ◽  
Voltage Deviation ◽  
Node Voltage ◽  
The Impact

Abstract Abnormal Voltages in electrical distribution system is a threat to power system security and may cause equipment damages. Reconfiguration aids in the proper distribution of load and thus improving the voltage profile. The multi objective framework including node voltage deviation as primary objective and power loss and reliability as secondary objectives is formulated. The novel meta heuristic method based on binary particle swarm optimization (BPSO) is employed to find the optimal radial distribution network configuration for an assortment of objective function. The effect of inertia weight, position and population of swarm is deeply investigated. The proposed method has been verified on IEEE 33 and 69 bus radial distribution systems and found to be effective in minimizing node voltage deviation. The impact of the reconfigured system on voltage deviation, power loss and reliability has been studied extensively. BPSO calculations are found to be simple and has good Convergence characteristics in comparison with other meta heuristic techniques.

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