scholarly journals Implementation of a Novel Control Technique in Landsman Converter Using Bumble Bee Optimization

2018 ◽  
Vol 7 (3.27) ◽  
pp. 339
Author(s):  
Riyaz A. Rahiman ◽  
M C. John Wiselin
Keyword(s):  
Low Voltage ◽  
High Reliability ◽  
Control Technique ◽  
Voltage Source ◽  
Bumble Bee ◽  
Bldc Motor ◽  
Solar Pv ◽  
Partial Shading ◽  
Point Tracking ◽  
Wide Range

This paper focuses on a solar PV array based BLDC motor employing Landsman converter under partial shading condition (PSC). A converter acts as an interface between the SPV array under PSC and Voltage Source Inverter (VSI) feeding the Brushless DC (BLDC) motor. BLDC motor incorporating the merits of higher efficiency, high reliability, high ruggedness, easy-to-drive, capability to operate successfully at low voltage and excellent performance over a wide range of speed. The speed control of BLDC motor by variable DC-link voltage. This eliminates the additional phase current sensing, DC-link voltage sensing, additional control and associated circuitry. The proposed system includes simplicity control, compactness, and soft starting of the BLDC motor. The operation of Landsman converter in CCM results reduced stress on devices.  To optimize the operating point of the SPV array in order to get maximum possible power output by means of the better maximum power point tracking (MPPT) technique. The technique is Bumble Bee Mating Optimization (BBMO) based MPPT. The novel technique is compared to the conventional techniques. The simulated results are executed in MATLAB/SIMULINK.

Microgrid Model on Homer Software

2021 ◽  
Vol 9 (VI) ◽  
pp. 757-760
Author(s):  
Mohd Ahamad
Keyword(s):  
Power Generation ◽  
Power Electronics ◽  
Life Cycle Cost ◽  
Low Voltage ◽  
High Reliability ◽  
Low Cost ◽  
Local Area ◽  
New Paradigm ◽  
Power Sources ◽  
Wide Range

A new concept in power generation is a microgrid. The Microgrid concept assumes a cluster of loads and microsources operating as a single controllable system that provides power to its local area. This concept provides a new paradigm for defining the operation of distributed generation. The microsources of special interest for MGs are small (<100-kW) units with power electronic interfaces. These sources are placed at customers sites. They are low cost, low voltage and have a high reliability with few emissions. Power electronics provide the control and flexibility required by the MG concept. A properly designed power electronics and controllers insure that the MG can meet the needs of its customers as well as the utilities. The goal of this project is to build a complete model of Microgrid including the power sources, their power electronics, and a load and mains model in THE HOMER. The HOMER Micropower Optimization Model is a computer model developed by the U.S. National Renewable Energy Laboratory (NREL) to assist in the design of micropower systems and to facilitate the comparison of power generation technologies across a wide range of applications. HOMER models a power system’s physical behavior and its life-cycle cost, which is the total cost of installing and operating the system over its life span. HOMER allows the modeler to compare many different design options based on their technical and economic merits. It also assists in understanding and quantifying the effects of uncertainty or changes in the inputs.

scholarly journals Active Power Control of PV-Battery Connected MMC-HVDC System for FRT Support

2020 ◽  
Vol 10 (20) ◽  
pp. 7186
Author(s):  
Md Ismail Hossain ◽  
Mohammad A. Abido
Keyword(s):  
Control Strategy ◽  
Low Voltage ◽  
Power Reduction ◽  
Active Power ◽  
Reduction Technique ◽  
Control Technique ◽  
Transient Performance ◽  
Partial Shading ◽  
Hvdc System ◽  
Conductance Method

Modular multilevel converter (MMC)-based VSC system has become attractive around the world for renewable energy integration. Instead of a dynamic braking resistor, this work proposes an active power reduction technique for PV systems to support the fault ride through (FRT) of the MMC-HVDC system. In addition, it develops a battery control strategy to improve transient performance during solar radiation and temperature change due to partial shading of the PV panels. Besides, a control technique for the battery to regulate the surplus energy in the HVDC transmission network is developed. Furthermore, the proposed control scheme optimally integrates solar energy using the modified incremental conductance method. A feedforward controller was employed to create a standalone AC grid. The complete system has been implemented in real-time digital simulation (RTDS). The results confirm the efficacy of active power reduction technique to protect the HVDC link voltage and battery control strategy for the improvement of transient performance during the irradiance and temperature changes. Besides, it improves the low voltage ride-through capability during balanced and unbalanced disturbances at the point of common coupling.

Cuckoo Search Based Approach Towards Maximum Power Point Tracking for Solar Photovoltaic System Under Partial Shading

2019 ◽  
Vol 16 (8) ◽  
pp. 3338-3345 ◽  
Author(s):  
Paresh S. Nasikkar ◽  
Chandrakant D. Bhos
Keyword(s):  
Maximum Power Point Tracking ◽  
Cuckoo Search ◽  
Maximum Power ◽  
Global Maximum ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Extracting the maximum power from as solar PV system is a critical task when high changes in light intensity or Partial Shading Condition (PSC) are experienced. The latter case is more difficult as it creates multiple maxima points on P–V curve. In this way, it is obligatory to thoroughly pick a precise Maximum Power Point Tracking (MPPT) method which recognizes adequately the Global Maximum Power Point (GMPP) and tracks it under partial shading. This paper first describes the modeling of PV module and PV characteristics under uniform irradiance as well as effect of PSC on PV characteristics. In the latter sections, a review of conventional and intelligent MPPT methods is done. To tackle the problem of MPPT under PSC, two metaheurisric algorithms namely Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are described briefly. A new optimization method called Cuckoo Search (CS) is implemented in MATLAB SIMULINK tool and tested under three different PSC patterns. A comparative analysis of different MPPT strategies is made after analyzing the results.

Design and Implementation of New Topology for Nonisolated DC–DC Microconverter with Effective Clamping Circuit

2019 ◽  
Vol 28 (05) ◽  
pp. 1950082 ◽  
Author(s):  
M. Premkumar ◽  
T. R. Sumithira
Keyword(s):  
High Efficiency ◽  
Low Voltage ◽  
Maximum Power ◽  
Voltage Gain ◽  
Solar Pv ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Low Duty Cycle ◽  
Power Point ◽  
Voltage Spike

This paper presents nonisolated DC–DC converter which suits for solar photovoltaic (PV) applications. The DC–DC converter proposed in this paper utilizes coupled inductor, voltage boost capacitor and passive clamp circuit to achieve desired voltage gain and the passive clamp circuit will help the converter to accomplish high efficiency. To minimize the voltage spike/ringing across MOSFET drain-source and to recover the coupled inductor leakage energy, the RCD clamp circuit is used. The voltage lift capacitor along with the clamp circuit helps in increasing the voltage gain of the converter. The proposed converter offers low voltage stress on MOSFET and diode, low-coupled inductor turns ratio with low duty cycle. The converter is analyzed and simulated with PLECS standalone simulating environment for all aspects of the clamp circuit. The simulation results are compared with RCD and other clamping circuits to verify the performance of the proposed converter. The converter is also compared with active clamping to discuss the effectiveness of passive clamping circuit. To track the maximum power from the solar PV module, the conventional maximum power point tracking (MPPT) techniques are used. The prototype is designed and implemented for 150W and experimental results are verified.

scholarly journals Power optimization in partially shaded photovoltaic systems

2018 ◽  
Vol 12 (1) ◽  
pp. 34-38
Author(s):  
Halil Erol ◽  
Mahmut Uçman
Keyword(s):  
Climatic Conditions ◽  
Maximum Power ◽  
Hill Climbing ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Linear Behaviour ◽  
Power Point

The Power-Voltage characteristic of a photovoltaic (PV) array exhibits non-linear behaviour when exposed to uniform solar irradiance. Maximum Power Point (MPP) tracking is challenging due to the varying climatic conditions in a solar PV system. Moreover, the tracking algorithm becomes more complicated due to the presence of multiple peaks in the power voltage characteristics under the condition of partial shading. This research is devoted to the Stochastic Beam Search (SBS) based algorithm and Stochastic Hill Climbing (SHC) for a maximum power point tracking (MPPT) at a partial shading condition in the PV system. To give a partial shading effect over the entire array of a PV system, a mast is placed in front of the modules. The modules in the array are connected in such a way that one does not need to rewire the electrical connection during the rearrangement of modules. It is validated that the power generation performance of an array under a moving shading condition is increased. Furthermore, it is observed that the SHC method outperforms the SBS method in the MMP tracking.

scholarly journals Asymmetric snubberless current-fed full-bridge isolated DC-DC converters

2018 ◽  
Vol 14 (1) ◽  
pp. 5-11 ◽  
Author(s):  
Roman Kosenko ◽  
Andrei Blinov ◽  
Dmitri Vinnikov ◽  
Andrii Chub
Keyword(s):  
Low Voltage ◽  
Operating Conditions ◽  
Voltage Source ◽  
Resonant Circuit ◽  
Dc Microgrid ◽  
Leakage Inductance ◽  
Active Rectifier ◽  
Shift Control ◽  
Steady State Operation ◽  
Wide Range

Abstract This paper presents two isolated current-fed fullbridge DC-DC converters that can be used to interface a lower voltage source into a DC bus of higher voltage. The first topology uses a resonant circuit to force current redistribution between low-voltage-side transistors and a passive rectifier. The second topology utilizes an active rectifier with secondary modulation to achieve the same goal. The resonant circuit can be formed by using transformer leakage inductance and the parasitic capacitances of the switches. The converters feature soft switching of semiconductors over a wide range of operating conditions. This is achieved with decreased energy circulation when compared to existing topologies with symmetric control and with fewer semiconductors than in those with phase-shift control. The topologies can be implemented in renewable, supercapacitor, battery, fuel cell, and DC microgrid applications. Steady-state operation and design aspects of the converters are presented and verified experimentally with 400 W prototypes

scholarly journals Optimized generated power of a solar PV system using an intelligent tracking technique

2021 ◽  
Vol 12 (4) ◽  
pp. 2580
Author(s):  
Afshin Balal ◽  
Mostafa Abedi ◽  
Farzad Shahabi
Keyword(s):  
Output Power ◽  
Solar Pv ◽  
Pv System ◽  
Partial Shading ◽  
Control Approach ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Oscillations ◽  
Solar Pv System ◽  
Power Point

<span lang="EN-US">Partial shading condition (PSC) is common and complicated in all types of PV power plant. Therefore, the power production of solar system would be affected by the mismatch phenomena produced by PSC. Furthermore, when the array is partially shaded, the P–V characteristics become more complex which causes multiple peaks of the P-V curve. So, the simple maximum power point tracking (MPPT) methods such as perturb and observe (P&amp;O) will fail. To address the above issue, this paper proposes a combination of two different approaches, implementing distributed MPPT (DMPPT) and optimized fuzzy/bee algorithm (OFBA). DMPPT can be utilized to maximize solar energy by allowing each module, or group of modules, be managed independently. Also, due to the output power oscillations around the operating point in the P&amp;O method, an OFBA is employed which allowing for the decrease of output power oscillations without the usage of temperature and light sensors. The result shows that utilizing of DMPPT control approach in conjunction with the OFBA boosts the output generated power.</span>

scholarly journals AI based MPPT Controller for Solar PV System

2019 ◽  
Vol 9 (2S4) ◽  
pp. 592-595
Keyword(s):  
Low Voltage ◽  
Photovoltaic System ◽  
Solar Pv ◽  
Pv System ◽  
Boost Converters ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Logic Control ◽  
Solar Pv System ◽  
Power Point

This article discusses Artificial intelligence based Maximum Power Point Tracking (MPPT) for solar Photo-voltaics based system. MPPT is used to improve the efficiency as well as to raise the output through the photovoltaic system through continuous tracking of MPP. The work demands the use of fuzzy logic control technology; hence the PV-cell is interfaced with a DC step-up converter connected with a dc load. Boost converters convert the output of low voltage DC to output of high voltage DC. Following taken through the solar panel are thermal factor like temperature and isolation. The validation of the proposed controller is also discussed.

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