scholarly journals Solar Power System Assessments Using ANN and Hybrid Boost Converter Based MPPT Algorithm

2021 ◽  
Vol 11 (23) ◽  
pp. 11332
Author(s):  
Imran Haseeb ◽  
Ammar Armghan ◽  
Wakeel Khan ◽  
Fayadh Alenezi ◽  
Norah Alnaim ◽  
...  
Keyword(s):  
Power System ◽  
Output Power ◽  
Electrical Power ◽  
Analytical Framework ◽  
Boost Converter ◽  
Electrical Power System ◽  
Load Pressure ◽  
Point Tracking ◽  
Artificial Neural Network Ann ◽  
Power Point

The load pressure on electrical power system is increased during last decade. The installation of new power generators (PGs) take huge time and cost. Therefore, to manage current power demands, the solar plants are considered a fruitful solution. However, critical caring and balance output power in solar plants are the highlighted issues. Which needs a proper procedure in order to minimize balance output power and caring issues in solar plants. This paper investigates artificial neural network (ANN) and hybrid boost converter (HBC) based MPPT for improving the output power of solar plants. The proposed model is analyzed in two steps, the offline step and the online step. Where the offline status is used for training various terms of ANNs in terms of structure and algorithm while in the online step, the online procedure is applied with optimum ANN for maximum power point tracking (MPPT) using traditional converter and hybrid converter in solar plants. Moreover, a detail analytical framework is studied for both proposed steps. The mathematical and simulation approaches show that the presented model efficiently regulate the output of solar plants. This technique is applicable for current installed solar plants which reduces the cost per generation.

scholarly journals Nonlinear Control of a Satellite Electrical Power System Based on the Sliding Mode Control

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Mohammad Rasool Mojallizadeh ◽  
Bahram Karimi
Keyword(s):  
Power System ◽  
Sliding Mode ◽  
Electrical Power ◽  
Voltage Regulation ◽  
Sliding Mode Controller ◽  
Electrical Power System ◽  
Load Variations ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The power electronic interface between a satellite electrical power system (EPS) with a photovoltaic main source and battery storage as the secondary power source is modelled based on the state space averaging method. Subsequently, sliding mode controller is designed for maximum power point tracking of the PV array and load voltage regulation. Asymptotic stability is ensured as well. Simulation of the EPS is accomplished using MATLAB. The results show that the outputs of the EPS have good tracking response, low overshoot, short settling time, and zero steady-state error. The proposed controller is robust to environment changes and load variations. Afterwards, passivity based controller is provided to compare the results with those of sliding mode controller responses. This comparison demonstrates that the proposed system has better transient response, and unlike passivity based controller, the proposed controller does not require reference PV current for control law synthesis.

Study on Serial MPPT Electrical Power System Stability for Space Application

2014 ◽  
Vol 1016 ◽  
pp. 441-445
Author(s):  
Wenl Li Lin ◽  
Zhi Gang Liu
Keyword(s):  
Power System ◽  
Electrical Power ◽  
System Stability ◽  
Space Application ◽  
Electrical Power System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Bus Voltage ◽  
Power Point

Instability phenomena such as bus voltage fluctuations are occurred in serial MPPT(Maximum Power Point Tracking) electrical power system. To study the system stability, the system equivalent circuit models were built based on a serial MPPT unregulated bus electrical power system topology for space application. The small-signal equivalent analysis method and solving eigenvalues of state space equations method were adopted to perform stability analysis in two-domain control modes separately, from which the key conclusions were obtained.

Daily Constant PV Output Power Supplying AC pumps using Batteries

2016 ◽  
Vol 2 (2) ◽  
pp. 275
Author(s):  
Mohamed Mahmoud Ismail
Keyword(s):  
Output Power ◽  
Boost Converter ◽  
Operating Conditions ◽  
Voltage Source ◽  
Maximum Power Point ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Three Phase ◽  
Power Point

This paper presents 200 KW three phase standalone photovoltaic systems supplying pumping station consist of four pumps 40 KW rating. The system utilizes a two stage energy conversion power conditioning unit topology composed of a DC-DC boost converter and three level-three phase voltage source inverter (VSI). The Boost converter in this paper is designed to operate in continuous mode and controlled for maximum power point tracking (MPPT). The fluctuating output power of the PV array system during the day is the commonly problem in the power system.  In this paper a nickel-Cadmium battery will be used to maintain the output power generated from the PV array supplying the pumps to be constant all the day under different operating conditions. The system is modeled and studied using MATLAB/Simulink

Output power analysis of Tel-USat electrical power system

2020 ◽  
Author(s):  
Aulia Indana ◽  
Dharu Arseno ◽  
Edwar ◽  
Adilla Safira
Keyword(s):  
Power System ◽  
Output Power ◽  
Power Analysis ◽  
Electrical Power ◽  
Electrical Power System

scholarly journals Photovoltaic Power System with an Interleaving Boost Converter for Battery Charger Applications

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Sheng-Yu Tseng ◽  
Cheng-Tao Tsai
Keyword(s):  
Power System ◽  
Boost Converter ◽  
Maximum Power ◽  
Battery Charger ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Switching Losses ◽  
Power Point Tracking ◽  
Power Point ◽  
Observation Method

This paper proposes a photovoltaic (PV) power system for battery charger applications. The charger uses an interleaving boost converter with a single-capacitor turn-off snubber to reduce voltage stresses of active switches at turn-off transition. Therefore, active switches of the charger can be operated with zero-voltage transition (ZVT) to decrease switching losses and increase conversion efficiency. In order to draw the maximum power from PV arrays and obtain the optimal power control of the battery charger, a perturbation-and-observation method and microchip are incorporated to implement maximum power point tracking (MPPT) algorithm and power management. Finally, a prototype battery charger is built and implemented. Experimental results have verified the performance and feasibility of the proposed PV power system for battery charger applications.

scholarly journals An integrated bayes soft switching interleaved and sliding window PWM for DC-DC boost converter

2018 ◽  
Vol 7 (3.6) ◽  
pp. 249
Author(s):  
R Puviarasi ◽  
D Dhanasekaran
Keyword(s):  
Output Power ◽  
Sliding Window ◽  
Boost Converter ◽  
High Output Power ◽  
Photovoltaic Panels ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Power Application ◽  
High Output

In order to develop the efficient dc-dc boost converter in high output power application, an Integrated Bayes Interleaved and Sliding Window (IBI-SW) based PWM framework is proposed. Initially, the integration of interleaving and PWM improves the power factor correction in very high output power applications (photovoltaic panels) and near optimal voltage and current losses. Multiple phase shifts with soft switched Bayes interleaving technique maximizes the power generated in photovoltaic panels and the optimization of power conversion is achieved with sliding window based PWM that performs Maximum Power Point Tracking (MPPT) algorithm on the PV cells connected to the converter. The proposed dc-dc boost converter is efficiently tested on various load conditions for measuring the scalability of IBI-SW framework in multiple high power demanded application. When compared with traditional model, the simulation result of proposed IBI-SW based PWM framework demonstrates that the dc-dc converter improves the power generated in photovoltaic panels accurately and rapidly.  

scholarly journals A Neural Network and Fuzzy Logic based MPPT Algorithm for Photovoltaic Pumping System

2018 ◽  
Vol 9 (4) ◽  
pp. 1823 ◽  
Author(s):  
Salwa Assahout ◽  
Hayat Elaissaoui ◽  
Abdelghani El Ougli ◽  
Belkassem Tidhaf ◽  
Hafida Zrouri
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Fuzzy Controller ◽  
Boost Converter ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Pumping System ◽  
Point Tracking ◽  
Artificial Neural Network Ann ◽  
Power Point

<p><span lang="EN-US">The use of solar energy had gained a great attention last decades, as it is pollution-free. It is used in isolated areas for lighting, pumping, etc. However, the extraction of the maximum power generated by a PVG at any moment of the day is a big deal because the characteristic of a PVG in non-linear which makes the location of the Maximum Power Point (MPP) difficult. Therefore, a Maximum Power Point Tracking technique (MPPT) is required to maximize the output power.<strong> </strong>In this paper, a photovoltaic water pumping system has been studied. This system consists of three main parts: PVG, a DC-DC boost converter and a DC motor coupled with a centrifugal water pump. We have proposed a new MPPT algorithm based on Fuzzy logic and Artificial Neural Network (ANN) to improve the system performances. The ANN is used to predict the optimal voltage of the PVG, under different environmental conditions (temperature and solar irradiance) and the fuzzy controller is used to command the DC-DC boost converter. The proposed method is compared to P&amp;O technic, by simulation under Matlab/Simulink, to verify its effectiveness. </span></p>

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