Influence of load management in distribution network on voltages and active power losses: Case study

2016 ◽  
Author(s):  
Kresimir Fekete ◽  
Zvonimir Klaic ◽  
Damir Sljivac
Keyword(s):  
Distribution Network ◽  
Active Power ◽  
Load Management ◽  
Power Losses ◽  
Active Power Losses

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 Analysis of the voltage profile and power losses in distribution network with renewable energy sources using CONOPT solver

Tehnika ◽  
2020 ◽  
Vol 75 (6) ◽  
pp. 749-755
Author(s):  
Stevan Rakočević ◽  
Martin Ćalasan ◽  
Tatjana Konjić
Keyword(s):  
Renewable Energy ◽  
Optimal Power Flow ◽  
Renewable Energy Sources ◽  
Distribution Network ◽  
Test System ◽  
Active Power ◽  
Energy Sources ◽  
Voltage Profile ◽  
Power Losses ◽  
Active Power Losses

In this paper, CONOPT solver, embedded in program GAMS, is proposed for optimal power flow analysis in distribution network with renewable energy sources. CONOPT solver possibilities have been tested on IEEE 33 test system solving a problem o f minimizing active power losses in the network. Locations and sizes o f renewable energy sources were taken form available literature. The results obtained using CONOPT solver have been compared with results obtained by using metaheuristic and hybrid algorithms. It is shown that the CONOPT solver gives better results in terms o f minimum values o f active power losses.

REDUCTION OF ACTIVE POWER LOSSES IN LOW VOLTAGE NETWORKS WITH THE RECTIFIER LOAD

2017 ◽  
Vol 2017 (3) ◽  
pp. 65-70
Author(s):  
A.F. Zharkin ◽  
◽  
V.A. Novskyi ◽  
N.N. Kaplychnyi ◽  
A.V. Kozlov ◽  
...  
Keyword(s):  
Low Voltage ◽  
Active Power ◽  
Power Losses ◽  
Active Power Losses

CALCULATION OF ACTIVE POWER LOSSES IN THE GROUNDING WIRE OF OVERHEAD POWER LINES

2016 ◽  
Vol 2016 (4) ◽  
pp. 23-25
Author(s):  
A.V. Krasnozhon ◽  
◽  
R.O. Buinyi ◽  
I.V. Pentegov ◽  
◽  
...  
Keyword(s):  
Active Power ◽  
Power Lines ◽  
Power Losses ◽  
Active Power Losses ◽  
Overhead Power Lines

Multi-objective ant lion optimization algorithm to solve large-scale multi-objective optimal reactive power dispatch problem

2019 ◽  
Vol 38 (1) ◽  
pp. 304-324 ◽  
Author(s):  
Souhil Mouassa ◽  
Tarek Bouktir
Keyword(s):  
Power Systems ◽  
Large Scale ◽  
Reactive Power ◽  
Stability Index ◽  
Active Power ◽  
Power Losses ◽  
Content Type ◽  
Multi Objective ◽  
Ant Lion Optimization ◽  
Active Power Losses

Purpose In the vast majority of published papers, the optimal reactive power dispatch (ORPD) problem is dealt as a single-objective optimization; however, optimization with a single objective is insufficient to achieve better operation performance of power systems. Multi-objective ORPD (MOORPD) aims to minimize simultaneously either the active power losses and voltage stability index, or the active power losses and the voltage deviation. The purpose of this paper is to propose multi-objective ant lion optimization (MOALO) algorithm to solve multi-objective ORPD problem considering large-scale power system in an effort to achieve a good performance with stable and secure operation of electric power systems. Design/methodology/approach A MOALO algorithm is presented and applied to solve the MOORPD problem. Fuzzy set theory was implemented to identify the best compromise solution from the set of the non-dominated solutions. A comparison with enhanced version of multi-objective particle swarm optimization (MOEPSO) algorithm and original (MOPSO) algorithm confirms the solutions. An in-depth analysis on the findings was conducted and the feasibility of solutions were fully verified and discussed. Findings Three test systems – the IEEE 30-bus, IEEE 57-bus and large-scale IEEE 300-bus – were used to examine the efficiency of the proposed algorithm. The findings obtained amply confirmed the superiority of the proposed approach over the multi-objective enhanced PSO and basic version of MOPSO. In addition to that, the algorithm is benefitted from good distributions of the non-dominated solutions and also guarantees the feasibility of solutions. Originality/value The proposed algorithm is applied to solve three versions of ORPD problem, active power losses, voltage deviation and voltage stability index, considering large -scale power system IEEE 300 bus.

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