Power Factor Improvement in Power System with the Integration of Renewable Energy

The non-linear constant increment of power demands due to loads caused a complexity in the operation of the power system network and might also cause insecurity without adequate control in the system with large power flows. A successful alternative energy source gives new challenges when connected to the power grid system. It is however that with the presence of environmental conditions, there is a constant fluctuation of generated power from renewable energy sources. This can be explained when wind power is used as a source of injection into an electric grid, where the power quality will be affected due to the fluctuating condition of the nature of the wind and comparatively new types of its generators panel. Power system control is introduced in this matter using a controller known as FACTS (Flexible AC Transmission System). FACTS controllers such as STATCOM (Static Synchronous Compensator) and SSSC (Static Synchronous Series Compensator) can function to be a terminal voltage regulator to the power system and consequently improve the systems’ stability and power quality. With the usage of IEEE 14 bus power system network, both the potential STATCOM and SSSC are measured using the controller at high influential locations of the power system

Loss minimization DTC electric motor drive system based on adaptive ANN strategy

Electric motor drive systems (EMDS) have been recognized as one of the most promising motor systems recently due to their low energy consumption and reduced emissions. With only some exceptions, EMDS are the main source for the provision of mechanical energy in industry and accounts for about 60% of global industrial electricity consumption. Large energy efficiency potentials have been identified in EMDS with very short payback time and high-cost effectiveness. Typical, during operation at rated mode, the motor drive able to hold its good efficiencies. However, a motor usually operates out from rated mode in many applications, especially while under light load, it reduced the motor’s efficiency severely. Hence, it is necessary that a conventional drive system to embed with loss minimization strategy to optimize the drive system efficiency over all operation range. Conventionally, the flux value is keeping constantly over the range of operation, where it should be highlighted that for any operating point, the losses could be minimize with the proper adjustment of the flux level to a suitable value at that point. Hence, with the intention to generate an adaptive flux level corresponding to any operating point, especially at light load condition, an online learning Artificial Neural Network (ANN) controller was proposed in this study, to minimize the system losses. The entire proposed strategic drive system would be verified under the MATLAB/Simulink software environment. It is expected that with the proposed online learning Artificial Neural Network controller efficiency optimization algorithm can achieve better energy saving compared with traditional blended strategies

Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control

This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved. Simulation results from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verifyl the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance

Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control

This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved. Simulation results from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verifyl the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance

The study of stresses on soil from roadways using plaxis to generate potential energy with piezoelectric

Environmental resources exploitation is one of the critical problems in environmental engineering. The overuse of environmental resources can lead to a huge impact for the environment and human itself. The problems of extracting and processing of raw materials from earth such as mining, steam power and machinery has increased year by year and this is the main reason that the resources has become very limited for the future generations to use them. This study is focused in designing a roadway through software analysis which will use the concept of piezoelectricity that will convert the stress energy from the roadways into electrical energy. A software which is called PLAXIS 2D will be used to simulate the stresses from the roadway which are caused by moving vehicle loading. The parameters of laterite and clay soil such as Specific Gravity, Liquid Limit, Friction Angle and Cohesion are obtained from the past research is needed for the input of the software. The loading application in the PLAXIS 2D uses the Mohr-Coulomb failure criterion in which fully drained and axisymmetric conditions were assumed. A non-uniform grid with 1726 elements was performed for the calculations on a 2-dimensional cross-sections of 11m x 3m roadway. The stresses resulted from the software are used to determine the value of stresses required for the piezoelectric to convert the stress energy into electrical energy

The study of stresses on soil from roadways using plaxis to generate potential energy with piezoelectric

Environmental resources exploitation is one of the critical problems in environmental engineering. The overuse of environmental resources can lead to a huge impact for the environment and human itself. The problems of extracting and processing of raw materials from earth such as mining, steam power and machinery has increased year by year and this is the main reason that the resources has become very limited for the future generations to use them. This study is focused in designing a roadway through software analysis which will use the concept of piezoelectricity that will convert the stress energy from the roadways into electrical energy. A software which is called PLAXIS 2D will be used to simulate the stresses from the roadway which are caused by moving vehicle loading. The parameters of laterite and clay soil such as Specific Gravity, Liquid Limit, Friction Angle and Cohesion are obtained from the past research is needed for the input of the software. The loading application in the PLAXIS 2D uses the Mohr-Coulomb failure criterion in which fully drained and axisymmetric conditions were assumed. A non-uniform grid with 1726 elements was performed for the calculations on a 2-dimensional cross-sections of 11m x 3m roadway. The stresses resulted from the software are used to determine the value of stresses required for the piezoelectric to convert the stress energy into electrical energy

The Study of Stresses on Soil from Roadways Using Plaxis to Generate Potential Energy with Piezoelectric

Environmental resources exploitation is one of the critical problems in environmental engineering. The overuse of environmental resources can lead to a huge impact for the environment and human itself. The problems of extracting and processing of raw materials from earth such as mining, steam power and machinery has increased year by year and this is the main reason that the resources has become very limited for the future generations to use them. This study is focused in designing a roadway through software analysis which will use the concept of piezoelectricity that will convert the stress energy from the roadways into electrical energy. A software which is called PLAXIS 2D will be used to simulate the stresses from the roadway which are caused by moving vehicle loading. The parameters of laterite and clay soil such as Specific Gravity, Liquid Limit, Friction Angle and Cohesion are obtained from the past research is needed for the input of the software. The loading application in the PLAXIS 2D uses the Mohr-Coulomb failure criterion in which fully drained and axisymmetric conditions were assumed. A non-uniform grid with 1726 elements was performed for the calculations on a 2-dimensional cross-sections of 11m x 3m roadway. The stresses resulted from the software are used to determine the value of stresses required for the piezoelectric to convert the stress energy into electrical energy