In this work, the comprehensive modelling, simulation and analysis of solar photovoltaic (SPV) module for different shading conditions is presented. The SPV module is designed using the mathematical equations in Simul...
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ISBN:
(数字)9781728154756
ISBN:
(纸本)9781728154763
In this work, the comprehensive modelling, simulation and analysis of solar photovoltaic (SPV) module for different shading conditions is presented. The SPV module is designed using the mathematical equations in Simulink environment using MATLAB. The simulink model is used to determine the static characteristics of the SPV array under different environmental conditions. The key motive of this work is to analyze the effect of partial shading (PS) on a SPV module under different operating conditions. Initially, the simulation modelling of the PV system has been done, proceeds with experimental demonstration of the effect of PS on a single 37 W SPV module.
The distribution system analysis is very important to know the system condition at any given point of time. This distribution power flow plays an important role. Many power flow techniques have been proposed in the pa...
The distribution system analysis is very important to know the system condition at any given point of time. This distribution power flow plays an important role. Many power flow techniques have been proposed in the past for distribution power flow (DPF). The implicit Z-bus Gauss–Seidel (GS) method is good when dispersed generations are modelled as PQ nodes in the distribution system but, when dispersed generations are modelled as PV nodes, it leads to divergence problems. In a Newton-like method, a slight change in the execution of the bus-type switching logic leads to an unlike convergence characteristic. Though backward/forward (BW/FW) method is effective and efficient, it slows down under heavy-load condition. Now, with the addition of distributed generation (wind/solar, etc.) at the distribution level, the classical configuration of the distribution system is also changed. This poses a need for more robust and efficient technique. This paper investigates the application of a new algorithm known as improved harmony search (IHS) for DPF. The IHS can determine multiple power flow solutions which fix the limitations of other methods while determining a solution for the highly stressed condition. The results for a standard test system are taken with IHS, Newton–Raphson (NR) and BW/FW method without and with the impact of the wind energy system, to show the potential of the proposed algorithm.
This paper presents a forward converter using a demagnetization scheme that transfers the magnetization energy to the load, directly, instead of transferring back to the source. A forward converter uses a tertiary win...
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The band specific realization of fractional order controllers and filters find its way into implementation through the approximated value as its realization in the original form is very difficult. The integer-order pa...
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It is an important task in the agricultural domain to determine the stress levels in plants. Drought conditions can have an adverse effect on crop yield. Hyperspectral Imaging (HSI) combined with classical Machine Lea...
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Temperature to Frequency Converters (TFCs) are potential signal conditioning circuits (SCCs) usually employed in temperature measurements using thermistors. A NE/SE-566 based SCC has been recently used in several repo...
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The paper presents the application of artificial intelligence techniques-artificial neural network (ANN) and fuzzy logic to the problems of stock market prediction, sales forecasting and market segmentation. Back prop...
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The paper presents the application of artificial intelligence techniques-artificial neural network (ANN) and fuzzy logic to the problems of stock market prediction, sales forecasting and market segmentation. Back propagation algorithm has been used to train the neural network for the first two problems, while Self-Organizing Maps (SOM) have been employed for the clustering problem that Market Segmentation presents. The Fuzzy model discussed in the paper uses the state values or the input-output data pairs. Mean Square Error has been used as the performance index to compare ANN and Fuzzy logic for stock prediction and sales forecasting.
This paper presents a comparative study of conventional PD and Fuzzy PD (FPD) controllers for a nonlinear active suspension system for quarter car. The control purpose is to upgrade ride quality of quarter car by redu...
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This paper presents a comparative study of conventional PD and Fuzzy PD (FPD) controllers for a nonlinear active suspension system for quarter car. The control purpose is to upgrade ride quality of quarter car by reducing the root mean square of vertical acceleration (RMSVA) while keeping all hard constraints like suspension movement, dynamic and static load on tyre and actuator saturation within limits. The gains of PD and FPD controllers are tuned by Genetic Algorithms (GA) optimization technique for random road profiles by minimizing a cost function consist of integral of time-weighted absolute error and RMSVA and a comparative study is carried out. Further, controllers tuned with random road surface are tested on bump road profile for various amplitude. It has been noted that FPD controller out performed conventional PD controller and provided superior ride comfort.
Greenhouses are highly nonlinear, non-isolated systems which are very difficult to model and control. For desired plant growth, such greenhouses demand a very specific form of climatic conditions which can vary due to...
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ISBN:
(纸本)9781728100173
Greenhouses are highly nonlinear, non-isolated systems which are very difficult to model and control. For desired plant growth, such greenhouses demand a very specific form of climatic conditions which can vary due to the impact of highly stochastic disturbances in the form of solar radiation, temperature and humidity of outside environment. Greenhouse climate control designs are often put into use to increase the quality of growth of the plants cultured inside the greenhouse while keeping a check on the production costs. Such designs need to be efficient at setpoint tracking while providing good disturbance rejection. In this paper a greenhouse's climate is controlled with conventional PI controller. The controller is tuned with different global optimization algorithms, namely Genetic Algorithm (GA), Cuckoo Search Algorithm (CSA) and Grey Wolf Optimization (GWO) Algorithm. The tuning has been performed through minimization of a weighted sum of integral of the absolute error. Simulation study clearly reveals that the GWO tuned PI controller offers much better results.
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