CRPSO based optimal placement of multi-distributed generation in radial distribution system

2012 ◽  
Author(s):  
Khyati Mistry ◽  
Ranjit Roy
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Optimal Placement ◽  
Radial Distribution System

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.

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.

scholarly journals Optimal Placement of Distributed Generation Units in Radial Distribution System using Hybrid Techniques

2019 ◽  
Vol 9 (2) ◽  
pp. 1682-1688
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Network ◽  
Optimal Placement ◽  
Flower Pollination Algorithm ◽  
Binary Particle Swarm Optimization ◽  
Radial Distribution System ◽  
Hybrid Techniques

Reconfiguration is a process that supports to eliminate the power loss from a distribution network and this process have the capability to reduce the losses up to a specific point. Additionally, loss minimization may be calculated through the presentation of Distributed Generation (DG) units. Conversely, the incorporation of DG into the distribution network at an improper position may cause higher in losses and fluctuations in voltage. In the meantime, the uncertainty in voltage may produce partial power failure in the system. For that reason, it is essential to deliberate the stability boundaries in DGs position and sizing in the Radial Distribution System (RDS). In this research paper, hybrid Binary Particle Swarm Optimization (BPSO) with Flower Pollination Algorithm (FPA) is proposed for the ideal reconfiguration process and placing the DG in the 69-bus RDS. BPSO is applied to identify the best DG reconfiguration and FPA is proposed to determine the optimal DG size. This technique narrowly changes the DG location in every load bus of the network that delivers the minimum value of the objective function, which is considered as the finest candidate for DG connection. The simulation outcomes indicate the proposed method is more effective in reducing the power loss from 224.9804 to 27.2183 KW with the reduction of 88.8972% when compared to existing algorithm

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