Multi-phase DC-DC converter with Bi-directional power flow ability for distributed generation system

2008 ◽  
Author(s):  
Haiping Xu ◽  
Fang Z. Peng ◽  
Li Kong
Keyword(s):  
Distributed Generation ◽  
Power Flow ◽  
Generation System ◽  
Multi Phase

scholarly journals Optimal Power Flow Analysis of a Distributed Generation System

2015 ◽  
Vol 19 ◽  
pp. 673-680 ◽  
Author(s):  
Lucian-Ioan Dulău ◽  
Mihail Abrudean ◽  
Dorin Bică
Keyword(s):  
Distributed Generation ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Analysis ◽  
Generation System ◽  
Power Flow Analysis ◽  
Optimal Power

Distributed Generation Capacity Planning for Distribution Networks to Minimize Energy Loss

2016 ◽  
pp. 76-95
Author(s):  
Adnan Anwar ◽  
Md. Apel Mahmud ◽  
Md. Jahangir Hossain ◽  
Himanshu Roy Pota
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Capacity Planning ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Cost Optimization ◽  
Distribution Network ◽  
Peak Load ◽  
Distribution Networks ◽  
Multi Phase

This chapter presents an unbalanced multi-phase optimal power flow (UMOPF) based planning approach to determine the optimum capacities of multiple distributed generation units in a distribution network. An adaptive weight particle swarm optimization algorithm is used to find the global optimum solution. To increase the efficiency of the proposed scheme, a co-simulation platform is developed. Since the proposed method is mainly based on the cost optimization, variations in loads and uncertainties within DG units are also taken into account to perform the analysis. An IEEE 123 node distribution system is used as a test distribution network which is unbalanced and multi-phase in nature, for the validation of the proposed scheme. The superiority of the proposed method is investigated through the comparisons of the results obtained that of a Genetic Algorithm based OPF method. This analysis also shows that the DG capacity planning considering annual load and generation uncertainties outperform the traditional well practised peak-load planning.

scholarly journals SVM based pattern recognised islanding detection approach in a multiple distributed generation system

2018 ◽  
Vol 7 (1.8) ◽  
pp. 228 ◽  
Author(s):  
Gundala Srinivasa Rao ◽  
G. Kesava Rao
Keyword(s):  
Distributed Generation ◽  
High Accuracy ◽  
Islanding Detection ◽  
Generation System ◽  
Detection Zone ◽  
The Past ◽  
Detection Approach

The penetration of Distributed generation (DG) ensures the increase of demand for consistent, reasonable and spotless electricity facing with some design and operational challenges such as islanding. Several active and passive methods have been suggested in the past to detect islanding. Since they suffer from the large non detection zone and a high cost. In order to defeat such issues we propose a SVM based pattern recognising approach for islanding detection in a multiple DG system. The results show that our proposed method detects islanding with high accuracy.

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