Islanding algorithm for different type of distributed generators in intelligent distribution system

2014 ◽  
Author(s):  
Zhu Jing ◽  
Li Bin ◽  
Liang Shuiying ◽  
Liu Zhufeng ◽  
Bao Daiyuan
Keyword(s):  
Distribution System ◽  
Distributed Generators ◽  
Intelligent Distribution

scholarly journals A Game-Theoretic Loss Allocation Approach in Power Distribution Systems with High Penetration of Distributed Generations

Mathematics ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. 158
Author(s):  
Farzaneh Pourahmadi ◽  
Payman Dehghanian
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Power Distribution Systems ◽  
Loss Allocation ◽  
Distributed Generators ◽  
High Penetration ◽  
Game Theoretic ◽  
Allocation Approach

Allocation of the power losses to distributed generators and consumers has been a challenging concern for decades in restructured power systems. This paper proposes a promising approach for loss allocation in power distribution systems based on a cooperative concept of game-theory, named Shapley Value allocation. The proposed solution is a generic approach, applicable to both radial and meshed distribution systems as well as those with high penetration of renewables and DG units. With several different methods for distribution system loss allocation, the suggested method has been shown to be a straight-forward and efficient criterion for performance comparisons. The suggested loss allocation approach is numerically investigated, the results of which are presented for two distribution systems and its performance is compared with those obtained by other methodologies.

Optimal Planning of Distribution System Considering Distributed Generators

2013 ◽  
Vol 291-294 ◽  
pp. 2022-2027
Author(s):  
Hui Shi Liang ◽  
Hai Tao Liu ◽  
Jian Su
Keyword(s):  
Distribution System ◽  
Peak Load ◽  
Optimal Planning ◽  
System Construction ◽  
Peak Shaving ◽  
Diagram Method ◽  
Distributed Generators ◽  
Load Demand ◽  
Substation Planning ◽  
The Impact

This paper presents a methodology for substation optimal planning considering DG for peak shaving. Utility can take effective demand-side management (DSM) to encourage customer-owned DG to participate in peak load shaving, and it can also construct utility DG to meet the peak load demand. In this paper, the impact of DG on peak load shaving is analyzed, and DG is taken as a complement to T&D system to meet load demand, which is considered in the substation planning. Substations sizing and location and new-built utility DG capacity is optimized using Particle Swarm Optimization (PSO), in which supply area of each substation is obtained by Voronoi diagram method. Case study shows that planning result considering DG for peak shaving can defer T&D system expansion so that considerable investment can be saved. Especially for those areas with high cost of T&D system construction, constructing DG to meet peak load demand would be a more economic way.

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