Confidential power supply and storage capacity calculation of the active distribution network planning

2015 ◽  
Author(s):  
Yang Tan ◽  
Qingsheng Li ◽  
Qingming Zhao ◽  
Dong Liu
Keyword(s):  
Power Supply ◽  
Storage Capacity ◽  
Distribution Network ◽  
Network Planning ◽  
Active Distribution Network ◽  
Capacity Calculation ◽  
Distribution Network Planning ◽  
And Storage

scholarly journals Multi-Criteria Analysis for decision making applied to active distribution network planning

2018 ◽  
Vol 164 ◽  
pp. 103-111 ◽  
Author(s):  
Gianni Celli ◽  
Nayeem Chowdhury ◽  
Fabrizio Pilo ◽  
Gian Giuseppe Soma ◽  
Matteo Troncia ◽  
...  
Keyword(s):  
Decision Making ◽  
Distribution Network ◽  
Network Planning ◽  
Active Distribution Network ◽  
Distribution Network Planning ◽  
Multi Criteria Analysis

scholarly journals Research on Active Distribution Network Planning with Electric Vehicles and Distributed Generation

2021 ◽  
Vol 257 ◽  
pp. 01010
Author(s):  
Lingyan Wei ◽  
Bing Wang ◽  
Xiaoyue Wu ◽  
Fumian Wang ◽  
Peng Chen
Keyword(s):  
Time Series ◽  
Distributed Generation ◽  
Distribution Network ◽  
Network Planning ◽  
Clean Energy ◽  
Space Time ◽  
Maintenance Cost ◽  
Active Distribution Network ◽  
Distribution Network Planning ◽  
Ev Charging

With the increasing number of Electric Vehicle (EV) and clean energy generation year by year, EV and distributed generation (DG) have become issues that have to be considered in active distribution network planning. Firstly, considering the time series characteristics of DG, the output time series model of DG is established; Secondly, the parking demand and space-time movement model of EV is established, and the Monta Carlo method is used to simulate the space-time distribution of EV charging load in different planning areas; Finally, taking the system investment and annual operation and maintenance cost, voltage index and environmental index as the objective function, and considering the node voltage, node current and DG installation capacity as constraints. The improved particle swarm optimization algorithm is used to solve the planning model, and the access location and capacity of EV charging station and DG are obtained. Taking a distribution network as an example, the rationality and effectiveness of the proposed model and algorithm are verified.

scholarly journals Regional active distribution network planning study based on robust optimization

2021 ◽  
Vol 7 ◽  
pp. 314-319
Author(s):  
Zhicheng Jiang ◽  
Qingguang Yu ◽  
Yufeng Xiong ◽  
Le Li ◽  
Yuming Liu
Keyword(s):  
Robust Optimization ◽  
Distribution Network ◽  
Network Planning ◽  
Planning Study ◽  
Active Distribution Network ◽  
Distribution Network Planning

scholarly journals A Method of Power Supply Mode Selection for Urban Distribution Network Planning Based on Association Rules

2015 ◽  
Vol 3 (5) ◽  
pp. 421-433 ◽  
Author(s):  
Cunbin Li ◽  
Shuke Li ◽  
Yunqi Liu
Keyword(s):  
Association Rules ◽  
Power Supply ◽  
Mode Selection ◽  
Distribution Network ◽  
Network Planning ◽  
Distribution Network Planning ◽  
Urban Distribution ◽  
Supply Mode ◽  
Power Supply Mode ◽  
Selection Of

AbstractBased on association rules, this article proposed a method for intelligent recommendation of power supply mode, which helps decision-makers in the selection of many schemes. Firstly, a history database which includes the forecasting models and correlative factors was first built and association rule mining was conducted; then combined with the correlative factors in the designated area, the criteria matching in the rules mined were carried out with CBR technique; finally automatic recommendation of the power supply modes was achieved under the given conditions. By application of an example, it is demonstrated that the proposed method can not only automatically analyze the applicability of power supply modes and the intrinsic relationship between correlative factors but also provide, to some extent, theoretical basis for selection of power supply modes and practical utility for urban distribution network planning.

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