scholarly journals MF_CSA AI based Controlling Technique for Single Phase Converter Output Enhancement at Different Loading Conditions

2021 ◽  
pp. 20-28
Author(s):  
Manisha Patel ◽  
Kaustubh Kulkarni
Keyword(s):  
Alternative Energy ◽  
Search Algorithm ◽  
Optimization Technique ◽  
Power Converter ◽  
Solar Pv ◽  
Algorithm Optimization ◽  
Pv System ◽  
Energy Conversion Systems ◽  
Unbalanced Load ◽  
Phase Converter

Renewable and sustainable sources such as SPV systems and WT energy conversion systems are now seen as a promising and growing alternative energy source in view of global emissions and deterioration of the FP. the main objective of the study designing of a solar PV system with varying irradiation in MATLAB/SIMULINK and enhance its output capacity before its integration with the grid. Also, the system has to be made to drive an unbalanced load and dynamic load so that it is capable of handling the change in the power demand of the system. And to design a suitable controller for the multilevel power converter such that it produces better output results than the traditional converter. AI technique has to be incorporated in the converter designing. This work provides a comprehensive design and implementation of power regulatory per phase inverter with proposed MF-CSA (Multi-Function Crow Search Algorithm) optimization controller. The Inverter has been provided with a proposed optimization technique while integrating it with the grid. The voltage output of the system from the modeled solar system with varying irradiation and temperature control is being fed to the inverter for DC to AC conversion

scholarly journals Analysis of Grid Connected Solar PV System with Distributed Per Phase Inverter with Buck Boost Control Driving Unbalanced Load

2019 ◽  
Vol 5 (11) ◽  
pp. 14-21
Author(s):  
Arshi Jahan ◽  
Mr. Rishabh Shukla
Keyword(s):  
Large Scale ◽  
High Gain ◽  
Power Converter ◽  
Small Scale ◽  
Solar Pv ◽  
Pv System ◽  
Separate Control ◽  
Unbalanced Load ◽  
Solar Pv System ◽  
Boost Control

Small scale PV systems are mainly used in Distributed Generating systems (DG).The problem with PV DG system is for designing this system high voltage gain need to be required. In order to achieve this high gain we are choosing Grid connected PV system that is large scale Grid connected PV system In Grid connected PV system Power Electronic devices such as converters and inverters are main parts along with PV panels. In our work we have designed a solar PV system with varying irradiation in MATLAB/SIMULINK and enhance its output capacity before its integration with the grid. To design a suitable controller for per phase designed power converter such that it produces better output results than the traditional converter. The controller has to be designed along with buck boost control of DC output from the system instead of designing a whole new and separate control algorithm for inverter. It was concluded that active power output from the system from approximately 1MW in conventional inverter has improved to 12MW in the proposed scheme.

scholarly journals Comparative Study of Solar PV System Performance under Partial Shaded Condition Utilizing Different Control Approaches

2021 ◽  
Author(s):  
Ibrahim Al-wesabi ◽  
Fang Zhijian ◽  
M.B Shafik ◽  
Galal Al-Muthanna ◽  
M. A. K. Yousaf Shah
Keyword(s):  
Heuristic Algorithms ◽  
Search Algorithm ◽  
Local Maximum ◽  
Weather Conditions ◽  
Cuckoo Search ◽  
Photovoltaic Cell ◽  
Cuckoo Search Algorithm ◽  
Solar Pv ◽  
Pv System ◽  
Modified Particle Swarm Optimization

Abstract The solar system characteristics are affected due to few obscure terms, causing a reduction of photovoltaic system's power output. Also, partial shaded conditions (PSCs) lead to several peaks on photovoltaic (PV) curves, which decrease conventional techniques' efficiency Also, in these (PSCs), standard equations might not be implemented entirely. Therefore, this study aims, first to modify and re-establish the mathematical model of PV array under (PSCs). Second, heuristic algorithms (Cuckoo Search Algorithm (CSA) and Modified Particle Swarm Optimization (MPSO)) have been suggested and applied with PV system to promote output power under varying weather conditions and PSCs. Moreover, these algorithms can improve the dynamic response and steady-state PV systems' performance simultaneously and effectively. Later on, the following approaches, modified (MP&O) and (ANN), are also proposed to extract the photovoltaic system's maximum power. Then, MPPT problem is modeled and optimized on MATLAB environment where it is reliable to connect the programmable optimizer with Simulink of photovoltaic cell used to validate results. Finally, proposed methods are examined under several scenarios for (PSCs) to investigate its effectiveness. The results ensure that proposed tracker based on CSA can distinguish between the global and local maximum peaks of PV system effectively comparing to others MPPT approaches.

scholarly journals Universal power converter for low power applications

2019 ◽  
Vol 10 (4) ◽  
pp. 2165
Author(s):  
M. Asna ◽  
H. Shareef ◽  
S. N. Khalid ◽  
A. O. Idris ◽  
A. N. Aldarmaki ◽  
...  
Keyword(s):  
Reference Frame ◽  
Output Voltage ◽  
Frequency Conversion ◽  
Search Algorithm ◽  
Frequency Converter ◽  
Optimization Technique ◽  
Power Converter ◽  
Experimental Result ◽  
Synchronous Reference Frame ◽  
Parameter Values

A novel power converter that can perform both voltage and frequency conversion was proposed. Inappropriate power supply can damage sensitive sub-components and render the connected device inoperable. Henceforth, the proposed voltage–frequency converter acts as an interface to plug any electrical device directly into an electrical socket and provide the voltage and frequency required. The converter used a synchronous reference frame proportional–integral (SRFPI) controller to regulate the instantaneous output voltage and to improve steady state performance. Because the PI controller works together with the synchronous reference frame controller, it is difficult to tune the PI control parameters. To overcome this issue, a new meta heuristic optimization technique called lightening search algorithm (LSA) optimization was used to identify the optimum PI parameter values. A detailed description of the system operation and control strategy was presented. Finally, the performance of the converter was analyzed and verified by simulation and experimental results. The experimental result has shown that the proposed system has satisfactory output voltage and frequency under different input voltages.

scholarly journals Effect of partial shading in grid connected solar PV system with FL controller

2021 ◽  
Vol 12 (1) ◽  
pp. 431
Author(s):  
K Latha Shenoy ◽  
C. Gurudas Nayak ◽  
Rajashekar P. Mandi
Keyword(s):  
System Performance ◽  
Alternative Energy ◽  
Operating Conditions ◽  
Maximum Power ◽  
Solar Pv ◽  
Pv System ◽  
Partial Shading ◽  
Power Extraction ◽  
Pv Array ◽  
Solar Pv System

As conventional fossil fuel reserves shrink and the danger of climate change prevailing, the need for alternative energy sources is unparalleled. A smart approach to compensate the dependence on electricity generated by burning fossil fuels is through the power generation using grid connected PV system. Partial shading on PV array affects the quantity of the output power in photovoltaic (PV) systems. To extract maximum power from PV under variable irradiance, variable temperature and partial shading condition, various MPPT algorithms are used. Incremental conductance and fuzzy based MPPT techniques are used for maximum power extraction from PV array. Basically 11 kW Solar PV system comprising of PV array coupled with an Inverter through a dc-dc converter is considered for the analysis and output of the inverter is supplied to the load through the LCL filter. An Intelligent controller for maximum power point tracking of PV power is designed. Also, a fuzzy controller for VSC is developed to improve the system performance. The above proposed design has been simulated in the MATLAB/Simulink and analyzed the system performance under various operating conditions. Finally, the performance is evaluated with IEEE 1547 standard for showing the effectiveness of the system.

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