Features of calculation of characteristics of the compensated induction motor in the matlab simulink software environment

2021 ◽  
pp. 5-17
Author(s):  
R. Chuienko ◽  

An asynchronous electric motor with a short-circuited rotor is the most common means of converting electrical energy into mechanical energy in the electric drive of working machines in industry and agriculture. Modern methods of increasing the energy efficiency of induction motors with short-circuited rotor are aimed at finding with the help of computer technology the optimal solutions in the processes of their design, production and operation using new high-performance materials in machines. Such methods do not change the physical processes occurring in the induction motor, ie are passive. However, despite numerous improvements and scientific achievements, technical and economic indicators of induction motors still do not meet modern energy requirements. It is necessary to use ways to increase the energy efficiency of induction motors while maintaining their simplicity and reliability. It is proposed to use internal capacitive compensation of reactive power of induction motors. The aim of the research is to develop a mathematical model of an induction motor with internal capacitive reactive power compensation in the MathLab Simulink software environment for the calculation of operating and mechanical characteristics. A mathematical model of an induction motor with internal capacitive reactive power compensation in the MathLab Simulink software environment using the theory of electric circuits has been developed. The developed mathematical model allows to study the working and mechanical characteristics of an induction motor with internal capacitive compensation of reactive power. Numerical researches of characteristics of the induction motor with internal capacitive compensation of reactive power are carried out and their comparison with corresponding characteristics of the basic induction motor is carried out.

2013 ◽  
Vol 774-776 ◽  
pp. 1873-1876 ◽  
Author(s):  
Zhen Chen ◽  
Chen Liang ◽  
Run Qing Bai ◽  
Chao Ma ◽  
Lei Gao

This paper introduces a method for optimal reactive power compensation considering SVC. Static load margin of each node is calculated and then sorted to determine the location of reactive power compensation. To know the optimal compensating capacity, the mathematical model of fuzzy multi-objective is established, and it can be solved by the primal-dual interior point algorithm. The proposed method is applied to a grid of Northwest China with satisfactory results.


2019 ◽  
Vol 4 (4) ◽  
pp. 58-64 ◽  
Author(s):  
Dmitry Ivanovich Panfilov ◽  
Ahmed Elsayed ELGebaly ◽  
Michael Georgievich Astashev ◽  
Alexander Nikolaevich Rozhkov

2020 ◽  
Vol 216 ◽  
pp. 01070
Author(s):  
Ivan Bandurin ◽  
Vladimir Ivanov ◽  
Igor Kozyrev ◽  
Vladimir Korobov ◽  
Alexey Khaimin ◽  
...  

Today, the increase in reactive power consumption far exceeds the increase in active power consumption. Due to the increasing demands of the end-users for the quality of the supply of electricity, the problem of joint selection of rational sections and places of installation of reactive power compensation in the distribution line becomes relevant. A mathematical model and algorithm allowing such a choice are proposed. The mathematical model can be used both in the design of new lines and in the reconstruction of existing lines. An example is given.


2019 ◽  
Vol 136 ◽  
pp. 01020
Author(s):  
Dawa Lunzhu ◽  
Tao Kui ◽  
Ni Ping ◽  
Basang Dunzhu ◽  
Dong Zhihua ◽  
...  

This paper proposes a heuristic method for optimization of reactive power compensation. Firstly, two fuzzy sets of node voltage and cost savings are formed. The compensation location with the greatest compensation suitability is obtained by fuzzy reasoning. Considering the operation modes of several different loads, the mathematical model of reactive power compensation optimization is established, and fuzzy multi-objective optimization is adopted. The method solves the fixed and variable compensation capacity, and calculates the compensation capacity for each existing compensation position cycle until the change does not occur. The above process is repeated until the new compensation position is no longer saved, and finally all the compensation positions, capacity and total savings can be obtained. The example analysis shows the effectiveness and practicability of the method.


2020 ◽  
pp. 70-73
Author(s):  
Nikolay Nikolaevich Androsov ◽  
◽  
Igor Stanislavovich Tsikhalevskiy ◽  
Konstantin Andreevich Vakhrushev ◽  
◽  
...  

The paper analyses operational indicators of electric locomotives with commutator and induction motor traction motors. It is established that, due to the inherent limitations of the commutator motors, electric locomotives can work with rated power in speed range of 51.2–79 km/h, at maximum speed of 100 km/h power doesn’t exceed 68 % of rated. In order to increase the energy efficiency the authors have proposed to widen by several times the speed range at a constant rated power and reduce as much as possible operation at overload modes. Induction motors have significantly wider ranges for electromagnetic, thermal and mechanical loads. The calculation of losses in converter of phases and frequency for induction motors with various number of phases showed that total losses of three-phase motor reach 1.9 %, losses of motor with even number of phases doesn’t exceed 0.8 %. As a result, it is preferable to use traction motors with 8-phase winding.


2014 ◽  
Vol 1070-1072 ◽  
pp. 1191-1195
Author(s):  
Ying Jun Wu

This paper analyzes the static characteristics of induction motor. The models, as well as typical parameters, of induction motors for stability analysis are introduced. The slip-voltage curve, active power-voltage curve, and reactive power-voltage curve are obtained for analyzing possible operating states. According to the number and the stability of operating states, induction motors are classified to three kinds.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 1312-1320 ◽  
Author(s):  
Chaitanya N. Jibhakate ◽  
Madhuri A. Chaudhari ◽  
Mohan M. Renge

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