scholarly journals Implementation of Population Algorithms to Minimize Power Losses and Cable Cross-Section in Power Supply System

2016 ◽  
Vol 6 (6) ◽  
pp. 2955
Author(s):  
V. Z. Manusov ◽  
P. V. Matrenin ◽  
E. S. Tretiakova
Keyword(s):  
Cross Section ◽  
Cross Sections ◽  
Capital Investment ◽  
Optimal Allocation ◽  
Reactive Power ◽  
Active Power ◽  
Power Losses ◽  
Power Sources ◽  
First Case ◽  
Active Power Losses

<p><span lang="EN-US">The article dues to the arrangement of the reactive power sources in the power grid to reduce the active power losses in transmission lines and minimize cable cross-sections of the lines. The optimal arrangement is considered from two points of view. In the first case, it is possible to minimize the active power losses only. In the second case, it is possible to change the cross-sections of the supply lines to minimize both the active power losses and the volume of the cable lines. The sum of the financial cost of the active power losses, the capital investment to install the deep reactive power compensation, and cost of the cable volume is introduced as the single optimization criterion. To reduce the losses, the deep compensation of reactive power sources in nodes of the grid are proposed. This optimization problem was solved by the Genetic algorithm and the Particle Swarm optimization algorithm. It was found out that the deep compensation allows minimizing active power losses the cable cross-section. The cost-effectiveness of the suggested method is shown. It was found out that optimal allocation of the reactive power sources allows increasing from 9% to 20% the financial expenses for the enterprise considered.</span></p>

Implementation of Population Algorithms to Minimize Power Losses and Cable Cross-Section in Power Supply System

2016 ◽  
Vol 6 (6) ◽  
pp. 2955 ◽  
Author(s):  
V. Z. Manusov ◽  
P. V. Matrenin ◽  
E. S. Tretiakova
Keyword(s):  
Cross Section ◽  
Cross Sections ◽  
Capital Investment ◽  
Optimal Allocation ◽  
Reactive Power ◽  
Active Power ◽  
Power Losses ◽  
Power Sources ◽  
First Case ◽  
Active Power Losses

<p><span lang="EN-US">The article dues to the arrangement of the reactive power sources in the power grid to reduce the active power losses in transmission lines and minimize cable cross-sections of the lines. The optimal arrangement is considered from two points of view. In the first case, it is possible to minimize the active power losses only. In the second case, it is possible to change the cross-sections of the supply lines to minimize both the active power losses and the volume of the cable lines. The sum of the financial cost of the active power losses, the capital investment to install the deep reactive power compensation, and cost of the cable volume is introduced as the single optimization criterion. To reduce the losses, the deep compensation of reactive power sources in nodes of the grid are proposed. This optimization problem was solved by the Genetic algorithm and the Particle Swarm optimization algorithm. It was found out that the deep compensation allows minimizing active power losses the cable cross-section. The cost-effectiveness of the suggested method is shown. It was found out that optimal allocation of the reactive power sources allows increasing from 9% to 20% the financial expenses for the enterprise considered.</span></p>

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.

Population-Based Algorithms for Optimization of the Reactive Power Distribution and Selection of the Cable Cross-Section in the Power-Supply Systems

2015 ◽  
Vol 792 ◽  
pp. 230-236 ◽  
Author(s):  
Vadim Manusov ◽  
Elena Tretyakova ◽  
Pavel Matrenin
Keyword(s):  
Cross Sections ◽  
Transmission Lines ◽  
Power Distribution ◽  
Reactive Power ◽  
Optimization Algorithms ◽  
Population Based ◽  
Optimal Arrangement ◽  
Power Sources ◽  
Active Power Losses ◽  
Stochastic Optimization Algorithms

The article is devoted to optimization of the reactive power sources arrangement in the industrial power grid to reduce the active power losses in transmission lines and select cross-sections of cable of the lines. To reduce the losses installing of additional reactive power sources in junctions of the grid are proposed. Thus, a problem of the optimal arrangement of the reactive power sources is appeared. This problem was solved by two stochastic optimization algorithms such as the Genetic and the Particle Swarm optimization algorithms. The cost-effectiveness of the suggested method is shown.

scholarly journals Solution of the problem of optimum power distribution of individual compensating devices for a group of asynchronous motors for a stable operating mode and for a smoothly changing load

2020 ◽  
Vol 220 ◽  
pp. 01015
Author(s):  
E.V. Tumaeva ◽  
S.S . Kuzin ◽  
I.F. Aflyatunov ◽  
T.G. Makuseva
Keyword(s):  
Power Supply ◽  
Optimization Problem ◽  
Reactive Power ◽  
Active Power ◽  
Power Lines ◽  
Power Losses ◽  
Asynchronous Motors ◽  
Power Loss Reduction ◽  
Active Power Losses ◽  
Compensating Devices

Residential and industrial buildings with large territorial dimensions, have mainly radial power supply schemes, which feed a large number of small and medium capacity 0.4 kV induction motors. For their power supply copper or aluminum cables of small cross-section (with high active resistance) are used. Calculations of electricity losses in such lines show significant values. In order to reduce active power losses in 0.4 kV cable lines, the optimization problem of minimizing active power losses in the radial power supply circuit is solved by optimal distribution of reactive power of a given value between compensating devices. The single-line scheme of power supply of a group of pumps of technological installation of petrochemical production is considered, the mathematical model of the optimization problem on criterion of minimum of active losses in power lines from reactive power flow is made, which limitations are presented as a system of linear algebraic equations. Results of distribution of optimum values of reactive power between compensating devices of asynchronous motors at maintenance of the set tg φ are received. The quantitative estimation of active power loss reduction in power lines at use of capacitor units, which reactive power is optimally distributed, is given.

scholarly journals Multi-Mean Scout Particle Swarm Optimization (MMSCPSO) based Reactive Power Optimization in Large-Scale Power Systems

2021 ◽  
pp. 31-42
Author(s):  
Christophe Bananeza ◽  
Sylvère Mugemanyi ◽  
Théogène Nshimyumukiza ◽  
Jean Marie Vianney Niyodusenga ◽  
Jean De Dieu Munyaneza
Keyword(s):  
Particle Swarm Optimization ◽  
Reactive Power ◽  
Power Optimization ◽  
Particle Swarm ◽  
Active Power ◽  
Local Optimum ◽  
Reactive Power Optimization ◽  
Power Losses ◽  
Swarm Optimization ◽  
Active Power Losses

The particle swarm optimization (PSO) is a population-based algorithm belonging into metaheuristic algorithms and it has been used since many decades for handling and solving various optimization problems. However, it suffers from premature convergence and it can easily be trapped into local optimum. Therefore, this study presents a new algorithm called multi-mean scout particle swarm optimization (MMSCPSO) which solves reactive power optimization problem in a practical power system. The main objective is to minimize the active power losses in transmission line while satisfying various constraints. Control variables to be adjusted are voltage at all generator buses, transformer tap position and shunt capacitor.  The standard PSO has a better exploitation ability but it has a very poor exploration  ability. Consequently, to maintain the balance between these two abilities during the  search process by helping particles to escape from the local optimum trap, modifications were made where initial population was produced by tent and logistic maps and it was subdividing it into sub-swarms to ensure good distribution of particles within the search space. Beside this, the idle particles (particles unable to improve their personal best) were replaced by insertion of a scout phase inspired from the artificial bee colony in the standard PSO. This algorithm has been applied and tested on IEEE 118-bus system and it has shown a strong performance in terms of active power loss minimization and voltage profile improvement compared to the original PSO Algorithm, whereby the MMSCPSO algorithm reduced the active power losses at 18.681% then the PSO algorithm reduced the active power losses at 15.457%. Hence, the MMSCPSO could be a better solution for reactive power optimization in large-scale power systems.

scholarly journals REKONFIGURASI JARINGAN PADA SALURAN UDARA TEGANGAN MENENGAH 20 KV PENYULANG NAIONI PT. PLN (PERSERO) ULP KUPANG MENGGUNAKAN PERANGKAT LUNAK ELECTRICAL TRANSIENT ANALYSIS PROGRAM (ETAP) 12.6

2019 ◽  
pp. 41-52
Author(s):  
Nikolaus M. Tana ◽  
Frans Likadja ◽  
Wellem F. Galla
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Voltage Drop ◽  
Capacitor Bank ◽  
Active Power ◽  
Total Power ◽  
Power Losses ◽  
Overhead Lines ◽  
Medium Voltage ◽  
Active Power Losses

The 20 kV medium Voltage overhead lines of Naioni feeder on PT. PLN (Persero) ULP Kupang system has a feed length of ± 79.825 kms and is the longest of all feeders installed in the ULP Kupang. To minimize the voltage drop and power losses on the Naioni Feeder 20 kV medium Voltage overhead lines (SUTM), network reconfiguration needs to be done including changing the diameter of the conductor, installing a transformer insert and installing a capacitor bank using the help of ETAP software. From the results of the study, before reconfiguration, the voltage drop at the end of the Bus_Trafo KB 082 channel was 0.967 kV and the voltage drop percentage was 4.68% while the total power losses at Naioni Feeder were 20 kV, which were active power losses of 48.062 kW and loss reactive power loss of 25,689 kVAR. Furthermore, after reconfiguring the carrying diameter on the channel that still uses a small diameter of 35 mm2, it will be converted to 70 mm2 on cable 17 that connects the KB 119 Transformer Bus channel to the KB 074 Transformer Bus which is a fairly long distance from all other channels. So that after carrying out the reconfiguration of the conductor diameter, the voltage drop at the end of the Bus Trafo KB 082 channel is 0.844 kV and the voltage drop percentage is 4.24%, while the total power losses in the Naioni Feeder are 20 kV which are active power losses of 41.142 kW and conductor reactive power loss of 25.53 kVAR. Furthermore, after installation of the transformer insert and changing the conductor diameter on cable 17 of 35 mm2 will be changed to 70 mm2 connecting the Transformer Bus Channel KB 119 to the KB 074 Transformer Bus, then the voltage drop at the end of the Bus Trafo KB 082 channel is 0.826 kV and the voltage drop percentage amounting to 4.15% while the total power losses at Naioni Feeder are 20 kV, namely active power losses of39.292 kW and reactive power losses of 24.467 kVAR. And then, if the capacitor bank is installed on the Bus Transformer KB 119 channel bus point to the Bus Trafo KB 074 channel, then the voltage drop at the Bus Trafo KB 082 channel end is 0.891 kV and the voltage drop percentage is 4.47%, while the total power losses are The 20 kV Naioni Feeder is an active power loss of 43.714 kW and a reactive power loss of 22.888 kVAR.

scholarly journals COMPARATIVE ANALYSIS OF METHODS OF CALCULATION AND ERRORS OF ACTIVE POWER LOSSES IN LOW VOLTAGE COMMERCIAL NETWORKS

2019 ◽  
Vol 20 (9-10) ◽  
pp. 13-24
Author(s):  
E. I. Gracheva ◽  
R. R. Sadykov ◽  
R. R. Khusnutdinov
Keyword(s):  
Cross Sections ◽  
Low Voltage ◽  
Active Power ◽  
Load Factor ◽  
Equivalent Resistance ◽  
Power Losses ◽  
Line Load ◽  
Industrial Networks ◽  
Commercial Networks ◽  
Active Power Losses

The article analyzes some methods for calculating the loss of active power in lowvoltage industrial networks, taking into account the main influencing parameters. Equivalent resistance and losses of active power in radial and trunk circuits are determined. The errors of the equivalent resistance and the loss of the active power of the circuits relative to the reference values are calculated. Graphic dependencies of the equivalent resistance of the radial and trunk circuits of the industrial networks are taken into account, taking into account switching devices on the lines in the functions of such parameters as the total cross-section of lines, average lengths, cross-sections of lines and ambient temperature, and with a change in the line load factor. The proposed nomograms are highly accurate and can be used in practical calculations.

scholarly journals Potential for grid efficiency based on a combination of leakage reactances of transformers of a transmission interconnecting line: Application of an exhaustive search algorithm

2019 ◽  
Vol 30 (4) ◽  
pp. 1-12
Author(s):  
N. Mbuli ◽  
A. Dyantyi ◽  
J.H.C. Pretorius
Keyword(s):  
Life Cycle Cost ◽  
Reactive Power ◽  
Search Algorithm ◽  
Active Power ◽  
Power Losses ◽  
Active And Reactive Power ◽  
Step Down ◽  
Active Power Losses ◽  
The Impact ◽  
Different Levels

Transmission interconnecting lines (called interconnectors in this study) are built to facilitate the exchange of active and reactive power between two areas of a network. Step-up and step-down transformers are required at the ends of the interconnector when interconnectors are at a different voltage, usually higher, than the networks to be connected. A study was carried out to examine the impact on active power losses of a combination of leakage reactances of the transformers at the ends of an interconnector. The study assessed whether combinations can lead to different levels of active power losses and can thus affect the efficiency of the system. It was found that the combinations of reactance have a tangible impact on the power that flows through the interconnector and, consequently, on the sharing of apparent power between the interconnector and the rest of the network. The total active power losses varied appreciably with the various combinations of reactances, resulting in the life-cycle cost of active power losses also varying with the combinations. The study showed that the combination needs to be carefully made, considering that such a choice can have a significant impact on techno-economic aspects of the power system.

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