The impact of the distribution network reconfiguration on active power losses: Selected issues of UPGRID project realization

2017 ◽  
Author(s):  
Radoslaw Rekowski ◽  
Krzysztof Dobrzynski ◽  
Zbigniew Lubosny
Keyword(s):  
Distribution Network ◽  
Active Power ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Distribution Network Reconfiguration ◽  
Active Power Losses ◽  
The Impact ◽  
Project Realization

Optimal Network Reconfiguration in Presence of Renewable Distributed Generation Using Evolutionary Algorithm

2021 ◽  
Vol 4 (2) ◽  
pp. 38-43
Author(s):  
Linta Khalil ◽  
Mughees Riaz ◽  
M.Arslan Iqbal Awan ◽  
M.Kamran Liaquat Bhatti ◽  
Rabbia Siddique ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Systems ◽  
Active Power ◽  
Optimal Size ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Gas Emissions ◽  
Renewable Energy Systems ◽  
Optimal Network ◽  
Active Power Losses

Utilization of new technologies and people lifestyle has greatly affected the world’s electricity market. This demands to design innovative renewable energy systems for efficient use of green energy. In terms of greenhouse gas emissions, electricity from traditional energy supplies has become particularly harmful for the world. To decrease the reliance on fossil fuels, it is need of time to enhance the renewable energy integration in the conventional energy systems. Renewable DGs integration in existing energy systems is not a simple task. To overcome challenges caused by enhanced penetration of renewable energy systems in existing networks, adaptation of smart techniques is essential. DGs Optimal size and selection of their suitable location for integration is crucial for cost effective power delivery to the consumers without compromising the quality of power. This paper presents impartial performance management by optimal network reconfiguration in parallel with renewable DGs and selecting suitable size for reducing active power losses, pollutant gas emissions and costs of annual operation. For analysis of active power losses, Fuzzy and SPEA2 based algorithms are used in MATLAB with IEEE BUS14 acting as load bus. While the cost of power generation and pollutant gases emissions are estimated using HOMER Pro software.

scholarly journals New Evolutionary Technique for Optimization Shunt Capacitors in Distribution Networks

2011 ◽  
Vol 62 (3) ◽  
pp. 163-167 ◽  
Author(s):  
Ali Elmaouhab ◽  
Mohamed Boudour ◽  
Rabah Gueddouche
Keyword(s):  
Radial Distribution ◽  
Annual Cost ◽  
Distribution Network ◽  
Distribution Networks ◽  
Active Power ◽  
Power Losses ◽  
Evolutionary Technique ◽  
Active Power Losses ◽  
Shunt Capacitors

New Evolutionary Technique for Optimization Shunt Capacitors in Distribution NetworksThe paper presents a new evolutionary technique for optimizing on one part the numbers, the sizes and locations of shunt capacitors in radial distribution network in away to minimize the annual cost of active power losses with the improvement of voltage profiles of different buses. The technique is applied on 10 buses network and on IEEE 34 buses network test. The results are compared with ones of previous studies using heuristiques methods and the same network tests.

scholarly journals The Impact of Active Power Losses on the Wind Energy Exploitation of the North Sea

2014 ◽  
Vol 53 ◽  
pp. 70-85 ◽  
Author(s):  
Hossein Farahmand ◽  
Leif Warland ◽  
Daniel Huertas-Hernando
Keyword(s):  
Wind Energy ◽  
North Sea ◽  
Active Power ◽  
Power Losses ◽  
The North ◽  
The North Sea ◽  
Active Power Losses ◽  
The Impact ◽  
Energy Exploitation

scholarly journals Improvement methods for solving the distribution network reconfiguration problem

Energetika ◽  
2019 ◽  
Vol 64 (4) ◽  
Author(s):  
Ha Duc Nguyen ◽  
Ilgiz Mirgalimovich Valeev
Keyword(s):  
Large Scale ◽  
Heuristic Algorithms ◽  
Distribution Network ◽  
Distribution Networks ◽  
Network Reconfiguration ◽  
Voltage Profile ◽  
Distributed Generations ◽  
Distribution Network Reconfiguration ◽  
Radial Distribution Networks ◽  
Active Power Losses

The paper presents methods for solving the distribution network reconfiguration problem based on heuristic algorithms. In particular, the study solved the distribution network reconfiguration problem for active power losses reduction. The application of the method to a sample network proved effective compared to other algorithms, especially in case of large-scale and complex systems. In addition, the paper considers the influence of the location and capacity of distributed generations on the distribution network reconfiguration problem in different cases. The results show that the distribution network reconfiguration problem combined with optimization location and size of distributed generations is the most efficient solution for minimizing power loss and enhancing voltage profile. The proposed methods have been also successfully applied in the small- and medium-scale practical radial distribution networks. The simulation results show that the proposed methods can be used as reference materials for network reconfiguration problems with single and multi-objectives.

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