A Heuristic Analysis Method for the Impact of DGs to Power System Reliability

2014 ◽  
Vol 986-987 ◽  
pp. 187-191
Author(s):  
Bo Zeng ◽  
Kai Wang ◽  
Xiang Yu Kong ◽  
Yi Zeng ◽  
Qun Yang
Keyword(s):  
Distributed Generation ◽  
System Reliability ◽  
Power Distribution ◽  
Distribution System ◽  
Simulation Analysis ◽  
Analysis Method ◽  
Distributed Generations ◽  
Power Distribution System ◽  
High Penetration ◽  
The Impact

With high penetration of distributed generation connected to the grid, distribution system will have some huge impacts, and system reliability calculation models and assessment methods are changing. Based on Monte-Carlo method, a heuristic reliability analysis method for distribution system with distributed generations was proposed in the paper, which focuses on the mode of distributed generation in parallel to system power supply. Functional role of distributed generation in the power distribution system failure and distributed power adapter with load strategies were analyzed in this method. Cases simulation analysis was used to verify its effectiveness.

Reliability Analysis Method for Distribution System with Distributed Generation

2013 ◽  
Vol 448-453 ◽  
pp. 2649-2653
Author(s):  
Xiang Yu Kong ◽  
Qun Yan ◽  
Wen Sun
Keyword(s):  
Reliability Analysis ◽  
Distributed Generation ◽  
Power Distribution ◽  
Distribution System ◽  
Simulation Analysis ◽  
Distribution Network ◽  
Analysis Method ◽  
Power Distribution System ◽  
Reliability Models ◽  
Distribution System Reliability

Distribution system reliability calculation models and assessment methods would change while connected with distributed generation. A reliability analysis method for distribution system with distributed generations was proposed in the paper, which makes an improvement of traditional distribution network minimum cut set method, and the characteristics of distributed generation and distribution network element reliability models are considered. Functional role of distributed generation in the power distribution system failure and distributed power adapter with load strategies were also analyzed in this method. Case simulation analysis was used to verify its effectiveness.

Impact of Distributed Generation on the Fault Current in Power Distribution System

2017 ◽  
Vol 6 (2) ◽  
pp. 357
Author(s):  
Zuhaila Mat Yasin ◽  
Izni Nadhirah Sam’ón ◽  
Norziana Aminudin ◽  
Nur Ashida Salim ◽  
Hasmaini Mohamad
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Power Distribution ◽  
Distribution System ◽  
Test System ◽  
Optimal Location ◽  
Fault Current ◽  
Double Line ◽  
Power Distribution System ◽  
The Impact

<p>Monitoring fault current is very important in power system protection. Therefore, the impact of installing Distributed Generation (DG) on the fault current is investigated in this paper. Three types of fault currents which are single line-to-ground, double line-to-ground and three phase fault are analyzed at various fault locations. The optimal location of DG was identified heuristically using power system simulation program for planning, design and analysis of distribution system (PSS/Adept). The simulation was conducted by observing the power losses of the test system by installing DG at each load buses. Bus with minimum power loss was chosen as the optimal location of DG. In order to study the impact of DG to the fault current, various locations and sizes of DG were also selected. The simulations were conducted on IEEE 33-bus distribution test system and IEEE 69-bus distribution test system. The results showed that the impact of DG to the fault current is significant especially when fault occurs at busses near to DG location.</p>

scholarly journals Optimal distributed generation location and sizing for loss minimization and voltage profile optimization using ant colony algorithm

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Adeseye Amos Ogunsina ◽  
Moses Omolayo Petinrin ◽  
Olutomilayo Olayemi Petinrin ◽  
Emeka Nelson Offornedo ◽  
Joseph Olawole Petinrin ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Power Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Voltage Profile ◽  
Real Power ◽  
Power Distribution System ◽  
The Impact

AbstractA system of power generation whereby the generating equipment is located close to the point of usage, thereby reducing losses and operation cost is called distributed generation (DG). However, it is imperative that DGs are sited such that the quality of power delivered is optimized and the total real power loss within the system minimized. This paper proposes an approach for optimum sizing and siting of DGs sizing in a power distribution system using Ant Colony Optimization (ACO) algorithm. To validate the algorithm the IEEE 30 bus standard test system was employed. A 92% decrease in real power loss within the system relative to the value before the connection of DGs was observed, while the minimum bus voltage increased from 0.656 per unit to 0.965 per unit. The results obtained from ACO are further verified by creating an ETAP model of the IEEE 30 bus system and simulating the impact of DG on the system. A significant reduction in total real power losses within the system and improvement in voltage profile was observed when the DGs are placed at the ACO derived sites relative to at other locations. Therefore, Ant Colony Algorithm can be used in deriving the optimum sites and sizes of DGs in a power distribution system.

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