scholarly journals ROAC: Recursive optimization of Ant colony assisted perturb and observe for a photo voltaic resonant boost converter

2017 ◽  
Vol 7 (1.3) ◽  
pp. 150
Author(s):  
Selvakumar R ◽  
M Sujatha ◽  
S Palanikumar
Keyword(s):  
Ant Colony Optimization ◽  
Weather Conditions ◽  
Maximum Power ◽  
Ant Colony ◽  
Partial Shading ◽  
Elimination Algorithm ◽  
Harmonic Elimination ◽  
Analysis Of Results ◽  
Cascaded Multilevel Inverter ◽  
Recursive Optimization

This paper introduces a new Hybrid MPPT algorithm by combining new Ant Colony Optimization (ACO) and Perturb & Observe (P&O) method. The maximum power from a solar panel is extracted from all conditions like solar irradiance variation, temperature variation and partial shading conditions. Ant Colony Optimization (ACO) method tracks maximum power from panel under all variations and Perturb & Observe algorithm used in final stage to achieve faster MPP tracking. This proposed algorithm is implemented both in Simulink and hardware. A 5kWp grid connected solar photovoltaic power plant is designed and implemented for the 15 stage 31 level Cascaded Multilevel Inverter (CMLI) with the Selective harmonic elimination algorithm. From the analysis of results, it is found that the proposed hybrid MPPT provides higher MPP tracking performance in any weather conditions compared with other MPPT algorithms

scholarly journals Artificial Intelligence and Bio-Inspired Soft Computing-Based Maximum Power Plant Tracking for a Solar Photovoltaic System under Non-Uniform Solar Irradiance Shading Conditions—A Review

2021 ◽  
Vol 13 (19) ◽  
pp. 10575
Author(s):  
Amjad Ali ◽  
Kashif Irshad ◽  
Mohammad Farhan Khan ◽  
Md Moinul Hossain ◽  
Ibrahim N. A. Al-Duais ◽  
...  
Keyword(s):  
Soft Computing ◽  
Solar Irradiance ◽  
Weather Conditions ◽  
Review Article ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Flow Diagram ◽  
Maximum Output ◽  
Solar Photovoltaic ◽  
Partial Shading

Substantial progress in solar photovoltaic (SPV) dissemination in grid-connected and standalone power generation systems has been witnessed during the last two decades. However, weather intermittency has a non-linear characteristic impact on solar photovoltaic output, which can cause considerable loss in the system’s overall output. To overcome these inevitable losses and optimize the SPV output, maximum power point tracking (MPPT) is mounted in the middle of the power electronics converters and SPV to achieve the maximum output with better precision from the SPV system under intermittent weather conditions. As MPPT is considered an essential part of the SPV system, up to now, many researchers have developed numerous MPPT techniques, each with unique features. A Google Scholar survey from 2015–2021 was performed to scrutinize the number of published review papers in this area. An online search established that on different MPPT techniques, overall, 100 review articles were published; out of these 100, seven reviews on conventional MPPT techniques under shading or partial shading and only four under non-uniform solar irradiance are published. Unfortunately, no dedicated review article has explicitly focused on soft computing MPPT (SC-MPPT) techniques. Therefore, a comprehensive review of articles on SC-MPPT techniques is desirable, in which almost all the familiar SC-MPPT techniques have to be summarized in one piece. This review article concentrates explicitly on soft computing-based MPPT techniques under non-uniform irradiance conditions along with their operating principles, block/flow diagram. It will not only be helpful for academics and researchers to provide a future direction in SC-MPPT optimization research, but also help the field engineers to select the appropriate SC-MPPT for SPV according to system design and environmental conditions.

scholarly journals Optimization of Maximum Power Point Tracking Flower Pollination Algorithm for a Standalone Solar Photovoltaic System

2020 ◽  
Vol 39 (2) ◽  
pp. 267-278
Author(s):  
Muhammad Mateen Afzal Awan ◽  
Tahir Mahmood
Keyword(s):  
Weather Conditions ◽  
Maximum Power ◽  
Flower Pollination Algorithm ◽  
Global Maximum ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Flower Pollination ◽  
Multiple Power ◽  
Power Point

Modern-day world is facing problems such as, electricity generation deficiency, mounting energy demand, GHG (Greenhouse Gas) emissions, reliability and soaring prices. To resolve these issues, sustainable and renewable energy resources like SPV (Solar Photovoltaic) would be quite helpful. In this regard, the extraction of maximum power from SPV array in PSC (Partial Shading Weather Conditions) remains a challenge. Creation of multiple power peaks in the P-V (Power-Voltage) curve of a PV array due to partial shading, makes it difficult to track GMPP (Global Maximum Power Point) out of multiple power peaks known as LMPP (Local Maximum Power Points). Conventional algorithms are not able to perform in any condition other than UWC (Uniform Weather Condition). Nature inspired SC (Soft Computing) algorithms efficiently track the GMPP in PSC. The top performing SC algorithm named, FPA (Flower Pollination Algorithm) presents an efficient solution for GMPP tracking in PSCs. In this paper, the efficiency, accuracy and tracking speed of FPA algorithm is optimized. Comparison of the proposed OFPA (Optimized Flower Pollination Algorithm) and the existing FPAs is performed for zero shading condition, weak PSC, strong PSC, and changing weather conditions. In zero shading conditions, improvement of 0.7% in efficiency and 33% in tracking speed is achieved. In weak shading conditions, improvement of 0.97% in efficiency and 32.2% in tracking speed is achieved. In strong shading conditions, improvement of 0.24% in efficiency and 30.6% in tracking speed is achieved. OFPA is also tested for changing weather conditions (entering from Case-1 to Cae-3) and it retains its outstanding performance in the changing weather conditions. Simulations are performed in MATLAB/Simulink.

scholarly journals Selective Harmonic Elimination Based THD Minimization of a Symmetric 9-Level Inverter Using Ant Colony Optimization

2021 ◽  
Vol 8 (5) ◽  
pp. 769-774
Author(s):  
Neerudi Bhoopal ◽  
Dokku Sivanaga Malleswara Rao ◽  
Bharath Kumar Narukullapati ◽  
Idamakanti Kasireddy ◽  
Devineni Gireesh Kumar
Keyword(s):  
Ant Colony Optimization ◽  
Single Phase ◽  
Frequency Control ◽  
Harmonic Distortion ◽  
Low Frequency ◽  
Ant Colony ◽  
Medium Voltage ◽  
Semiconductor Switches ◽  
Harmonic Elimination ◽  
Selective Harmonic Elimination

This paper proposed a new topology of a symmetric single-phase multilevel inverter with the smaller number of semiconductor switches and optimized low-frequency control methods to optimize the Total Harmonic Distortion. A nine-level single phase output is obtained by eight number of active semiconductor switches, four diodes and four capacitors from two asymmetrical dc sources. The selected harmonic order in the output voltage is eliminated by the PWM (SHE-PWM) based on selective harmonic elimination. To optimize the switching angles, an ant colony optimization is introduced. The proposed SHE-PWM and ant optimization are implemented and tested for THD on the SIMULINK platform. The proposed approach offers less THD and is best suited to high-power applications with medium voltage.

scholarly journals Operation of a UXE-Type 11-Level Inverter with Voltage-Balance Modulation Using NLC and ACO-Based SHE

2021 ◽  
Vol 13 (16) ◽  
pp. 9035
Author(s):  
Mohammad Ali ◽  
Mohd Tariq ◽  
Chang-Hua Lin ◽  
Ripon K. Chakrobortty ◽  
Basem Alamri ◽  
...  
Keyword(s):  
Ant Colony Optimization ◽  
Direct Current ◽  
Control Algorithm ◽  
Ant Colony ◽  
Hardware In The Loop ◽  
Level Control ◽  
Harmonic Elimination ◽  
Selective Harmonic Elimination ◽  
Voltage Balance ◽  
Redundant States

In this article, the UXE-Type inverter is considered for eleven-level operation. This topology exhibits a boosting capability along with reduced switches and one source. An algorithm that utilizes the redundant states to control the voltage-balance of the auxiliary direct current (DC)-link is presented. The proposed control algorithm is capable of maintaining the voltages of each capacitor at Vdc/4 resulting in a successful multilevel operation for all values of load. The inverter is also compared with 11-level inverters. The modulation of the inverter is performed by employing nearest level control and ant colony optimization based selective harmonic elimination. The maximum inverter efficiency is 98.1% and its performance is validated on an hardware-in-the-loop platform.

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