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

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.

Active Power Losses in Three-Phase Cable Power Lines

2020 ◽  
Vol 1 (2) ◽  
pp. 202-210
Author(s):  
Alena OTCENASOVA
Keyword(s):  
Active Power ◽  
Power Lines ◽  
Power Losses ◽  
Three Phase ◽  
Active Power Losses

scholarly journals Simulation of a Power System Considering Active Power Losses and Seasons

2021 ◽  
Vol 18 (1) ◽  
pp. 1-7
Author(s):  
Lucian-Ioan Dulău ◽  
Dorin Bică
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Distributed Generation ◽  
Active Power ◽  
Power Lines ◽  
Power Losses ◽  
Active Power Losses ◽  
Autumn And Winter ◽  
And Storage ◽  
Storage Units

Abstract In this paper is presented the simulation of a power system. The simulations performed are considering the seasons (spring, summer, autumn and winter). The system has 39 buses, 46 power lines, 13 generating units, 19 loads and 2 storage units. Of the 13 generating units, 3 are distributed generation sources based on renewable energy. There are also 2 battery storage units. The simulation considers the active power supplied by the generating and storage units, respectively the active power losses. The results give the power supplied by each generating unit for each season.

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

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.

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.

Transmission Network Expansion Planning Considering Optimal Allocation of Series Capacitive Compensation and Active Power Losses

2021 ◽  
Vol 12 (1) ◽  
pp. 388
Author(s):  
Dany H. Huanca ◽  
Luis A. Gallego ◽  
Jesús M. López-Lezama
Keyword(s):  
Genetic Algorithm ◽  
Test System ◽  
Active Power ◽  
Mixed Integer ◽  
Planning Problem ◽  
Transmission Network ◽  
Power Losses ◽  
Network Expansion ◽  
Expansion Planning ◽  
Active Power Losses

This paper presents a modeling and solution approach to the static and multistage transmission network expansion planning problem considering series capacitive compensation and active power losses. The transmission network expansion planning is formulated as a mixed integer nonlinear programming problem and solved through a highly efficient genetic algorithm. Furthermore, the Villasana Garver’s constructive heuristic algorithm is implemented to render the configurations of the genetic algorithm feasible. The installation of series capacitive compensation devices is carried out with the aim of modifying the reactance of the original circuit. The linearization of active power losses is done through piecewise linear functions. The proposed model was implemented in C++ language programming. To show the applicability and effectiveness of the proposed methodology several tests are performed on the 6-bus Garver system, the IEEE 24-bus test system, and the South Brazilian 46-bus test system, presenting costs reductions in their multi-stage expansion planning of 7.4%, 4.65% and 1.74%, respectively.

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