Introduction to Substation Planning and Concepts

2018 ◽  
pp. 7-10
Author(s):  
John Finn
Keyword(s):  
Substation Planning

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.

scholarly journals An Improved Substation Locating and Sizing Method Based on the Weighted Voronoi Diagram and the Transportation Model

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Shiju Wang ◽  
Zhiying Lu ◽  
Shaoyun Ge ◽  
Chengshan Wang
Keyword(s):  
Global Convergence ◽  
Voronoi Diagram ◽  
Power Supply ◽  
Convergence Speed ◽  
Improved Method ◽  
Power Networks ◽  
Transportation Model ◽  
The Cost ◽  
Substation Planning ◽  
The Impact

Substation locating and sizing is an important component of urban power networks. In this paper, an improved method based on the weighted Voronoi diagram and transportation model for substation planning is proposed, which can optimize the location, capacity, and power supply range for each substation with the minimum investment which contains the cost of the lines, substations, and annual operation expense. The weighted Voronoi diagram (WVD) whose weights can be adaptively adjusted can calculate the location and the capacity for each substation with good performance of global convergence and better convergence speed. Transportation model can simulate the best correspondence relationship between the loads and substations. The impact of geographical factors is also considered in this paper. Large amount of experiments show that the improved method can get more reasonable and more optimized planning result within shorter time than the original WVD and other algorithms.

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