Optimal Placement and Sizing of Distributed Generators and Distributed-Static Compensator in Radial Distribution System

2019 ◽  
Vol 8 (1) ◽  
pp. 47-66 ◽  
Author(s):  
Mahesh Kumar ◽  
Bhagwan Das ◽  
Mazhar Hussain Baloch ◽  
Perumal Nallagownden ◽  
Irraivan Elamvazuthi ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Pso Algorithm ◽  
Optimal Placement ◽  
Radial Distribution System ◽  
Distributed Generators ◽  
Power Loss Reduction ◽  
Power Utilities ◽  
Static Compensator

The electricity demand increment, fossil fuel depletion, and environmental degradation open the interest of power utilities to utilize the distributed generation (DG) and distributed-static compensator (DSTATCOM) in the distribution system. The optimal placement and sizing of these generations have positive benefits, whereas non-optimal placement and size may worsen the existing operational characteristics of the distribution system. Therefore, this article presents a new methodology for optimal placement and sizing of distributed generation and distributed-static compensator in a radial distribution system. Moreover, a short-term planning has been made for power loss reduction with existing and increased load growth using particle swarm optimization (PSO) algorithm. The performance of proposed methodology is tested using different case studies on standard IEEE 33 bus system (RDS). The measured results are also compared with other literature methods and it is revealed that the proposed method gives more significant results.

Swarm-Intelligence-Based Optimal Placement and Sizing of Distributed Generation in Distribution Network

2018 ◽  
pp. 29-48 ◽  
Author(s):  
Mahesh Kumar ◽  
Perumal Nallagownden ◽  
Irraivan Elamvazuthi ◽  
Pandian Vasant ◽  
Luqman Hakim Rahman
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Distribution Network ◽  
Stability Index ◽  
Pso Algorithm ◽  
Distribution Networks ◽  
Optimal Placement

In the distribution system, distributed generation (DG) are getting more important because of the electricity demands, fossil fuel depletion and environment concerns. The placement and sizing of DGs have greatly impact on the voltage stability and losses in the distribution network. In this chapter, a particle swarm optimization (PSO) algorithm has been proposed for optimal placement and sizing of DG to improve voltage stability index in the radial distribution system. The two i.e. active power and combination of active and reactive power types of DGs are proposed to realize the effect of DG integration. A specific analysis has been applied on IEEE 33 bus system radial distribution networks using MATLAB 2015a software.

scholarly journals Siting and Sizing of DG in Medium Primary Radial Distribution System with Enhanced Voltage Stability

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Sanjay Jain ◽  
Ganga Agnihotri ◽  
Shilpa Kalambe ◽  
Renuka Kamdar
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Voltage Profile ◽  
Power Losses ◽  
Radial Distribution System ◽  
Power Loss Reduction ◽  
The Impact

This paper intends to enumerate the impact of distributed generation (DG) on distribution system in terms of active as well as reactive power loss reduction and improved voltage stability. The novelty of the method proposed in this paper is the simple and effective way of sizing and siting of DG in a distribution system by using two-port Z-bus parameters. The validity of the method is verified by comparing the results with already published methods. Comparative study presented has shown that the proposed method leads existing methods in terms of its simplicity, undemanding calculation procedures, and less computational efforts and so does the time. The method is implemented on IEEE 69-bus test radial distribution system and results show significant reduction in distribution power losses with improved voltage profile of the system. Simulation is carried out in MATLAB environment for execution of the proposed algorithm.

A Heuristic Approach for Optimal Location and Sizing of Multiple DGs in Radial Distribution System

2014 ◽  
Vol 626 ◽  
pp. 227-233 ◽  
Author(s):  
R.M. Sasiraja ◽  
V. Suresh Kumar ◽  
S. Sudha
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Optimal Placement ◽  
Small Scale ◽  
Optimal Size ◽  
Integrated Network ◽  
Radial Distribution System

A distribution system is known as an interface between the central power system and its consumers. DGs are defined as small scale generation units that are connected near to customer load centres. DGs have the potential of altering power flows, system voltages, and even the performance of the integrated network. With the principle of minimizing line losses in the power systems, it is remarkably imperative to define the optimal size and location of local generations. This paper proposes Genetic Algorithm (GA) for optimal placement and sizing of distributed generation (DG) in radial distribution system by minimizing the real power loss and thus improving the voltage shape. The developed algorithm is tested on 33-bus radial distribution system. The proposed method has outperformed than the other methods in terms of the quality of solution and computational competence.

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 .

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