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Optimized Controller Gains Using Grey Wolf Algorithm for Grid Tied solar power generation with Improved Dynamics and power Quality

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Chinese Journal of Electrical Engineering 2022年第2期8卷 75-85页

作者： Veramalla Rajagopal Danthurthi Sharath Gundeboina Vishwas Jampana Bangarraju Sabha Raj Arya Challa Venkatesh Department of Electrical and Electronics Engineering Kakatiya Institute of Technology and Science WarangalTelangana 506015India Department of Electrical and Electronics Engineering B V Raju Institute of TechnologyTelangana 502313India Department of Electrical Engineering Sardar Vallabhbhai National Institute of Technology SuratGujarat 395007India

This study proposes a control algorithm based on synchronous reference frame theory with unit templates instead of a phase locked loop for grid-connected photovoltaic(PV)solar system,comprising solar PV panels,DC-DC converter,controller for maximum power point tracking,resistance capacitance ripple filter,insulated-gate bipolar transistor based controller,interfacing inductor,linear and nonlinear *** dynamic performance of the grid connected solar system depends on the effect operation of the control algorithm,comprising two proportional-integral *** controllers estimate the reference solar-grid currents,which in turn generate pulses for the three-leg voltage source *** grey wolf optimization algorithm is used to optimize the controller gains of the proportional-integral controllers,resulting in excellent performance compared to that of existing optimization *** compensation for neutral current is provided by a star-delta transformer(non-isolated),and the proposed solar PV grid system provides zero voltage regulation and eliminates harmonics,in addition to load *** power extraction from the solar panel is achieved using the incremental conductance algorithm for the DC-DC converter supplying solar power to the DC bus capacitor,which in turn supplies this power to the grid with improved dynamics and *** solar system along with the control algorithm and controller is modeled using Simulink in Matlab 2019.

关键词： Control algorithm solar power generation DC-DC converter star-delta transformer maximum power point tracking power quality grey wolf optimization algorithm

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A Case Study: Performance Comparison of solar power generation between GridLAB-D and SAM in Dili Timor Leste

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Journal of power and Energy Engineering 2020年第8期8卷 1-22页

作者： Jose Manuel Soares de Araujo Electrical and Electronic Engineering Division Graduate School of Natural Science and Technology Gifu University Gifu Japan

Study of comparison of solar power generation between the GridLAB-D tool and System Advisor Model (SAM) in Dili, Timor Leste is presented in this paper. Weather Research and Forecasting (WRF) model is used to simulate solar radiation for one calendar year from January to December 2014 using six-hourly interval 1° × 1° NCEP FNL analysis data. The one calendar year results from the WRF model will be used as input data for GridLAB-D and SAM to estimate the solar power generation. GridLAB-D is an open-source and analysis tool designed to operate the distribution power systems with a high-performance algorithm. System Advisor Model version SAM 2017.9.5 is used to estimate solar power performance with Photovoltaics (PVWatts)- Commercial Distributed model. This model is designed to analyze the performance and the financing of renewable energy for electricity generation. The results show the lowest solar radiation is 512 W/m2 obtained in June with an average monthly power of 20.6 kW and 30.55 kW generated from the SAM model and the GridLAB-D simulator, respectively. Meanwhile, the highest solar radiation is 1100 W/m2, 1112 W/m2, 1046 W/m2, and 1077 W/m2 obtained in October, November, December, and January with an average monthly power of 55.72 kW, 62.44 kW, 56.65 kW, and 56.97 kW from the SAM model, in the other hand, 48.89 kW, 51.31 kW, 55.51 kW, and 57.18 kW generated by the GridLAB-D. Finally, the results show that the performance of the GridLAB-D and the SAM model was quite good because both model precisely presented values are almost closest to each other. This study proposes that the results of solar output power from both methods, GridLAB-D and SAM can be used to design grid-connected or stand-alone electric power projects to increase the quality of electricity generation in Dili, Timor Leste.

关键词： GridLAB-D System Advisor Model solar power generation Timor Leste WRF

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Cooperative Charging Control of PEVs in Constrained Distribution Network Considering solar power generation

Cooperative Charging Control of PEVs in Constrained Distribu...

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第40届中国控制会议

作者： Yao Luo Hui Liu Shengyi Liao Zhicheng Shang School of Artificial Intelligence and Automation Huazhong University of Science and Technology

Efficient management of electricity demand for plug-in electric vehicles（PEVs） charging and timely consumption of renewable energy is critical to the overall efficiency and stability of the grid. Using solar power generation is environmentally friendly and energy efficient, but its output power will also have a negative impact on the power grid. In this paper, under the overload constraints of feeders, we establish a charging station model of PEVs with a solar power station, coordinating PEV charging demand and solar power generation to reduce the impact on distribution network. Based on the primal-dual subgradient projection algorithm, the charging control of the PEVs is studied in this paper. The simulation results show that our algorithm can coordinate PEV charging with solar power generation and effectively prevent overload of the the distribution feeders.

关键词： Plug-in electrical vehicles solar power generation charging control overload of distribution feeders

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A hybrid machine-learning model for solar irradiance forecasting

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Clean Energy 2024年第1期8卷 100-110页

作者： Ameera M.Almarzooqi Maher Maalouf Tarek H.M.El-Fouly Vasileios E.Katzourakis Mohamed S.El Moursi Constantinos V.Chrysikopoulos Department of Industrial and Systems Engineering Khalifa UniversityAbu DhabiPO Box 127788UAE Electrical Engineering and Computer Science Department Khalifa University Abu DhabiUAE Department of Civil Infrastructure and Environmental Engineering Khalifa UniversityAbu DhabiPO Box 127788UAE School of Chemical and Environmental Engineering Technical University of CreteChaniaGreece

Nowcasting and forecasting solar irradiance are vital for the optimal prediction of grid-connected solar photovoltaic(PV)power *** plants face operational challenges and scheduling dispatch difficulties due to the fluctuating nature of their power *** the generation capacity within the electric grid increases,accurately predicting this output becomes increasingly essential,especially given the random and non-linear characteristics of solar irradiance under variable weather *** study presents a novel prediction method for solar irradiance,which is directly in correlation with PV power output,targeting both short-term and medium-term forecast *** proposed hybrid framework employs a fast trainable statistical learning technique based on the truncated-regularized kernel ridge regression *** proposed method excels in forecasting solar irradiance,especially during highly intermittent weather periods.A key strength of our model is the incorporation of multiple historical weather parameters as inputs to generate accurate predictions of future solar irradiance values in its scalable *** evaluated the performance of our model using data sets from both cloudy and sunny days in Seattle and Medford,USA and compared it against three forecasting models:persistence,modified 24-hour persistence and least *** on three widely accepted statistical performance metrics(root mean squared error,mean absolute error and coefficient of determination),our hybrid model demonstrated superior predictive accuracy in varying weather conditions and forecast horizons.

关键词： solar power generation kernel ridge regression hybrid model forecasting

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Analysis of silicon-based integrated photovoltaic–electrochemical hydrogen generation system under varying temperature and illumination

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Journal of Energy Chemistry 2017年第1期26卷 72-80页

作者： Vishwa Bhatt Brijesh Tripathi Pankaj Yadav Manoj Kumar Department of solar Energy School of TechnologyPandit Deendayal Petroleum UniversityGandhinagar 382007India Department of Science School of TechnologyPandit Deendayal Petroleum UniversityGandhinagar 382007India Department of Electrical Engineering Incheon National UniversityIncheon 406772Republic of Korea

Last decade witnessed tremendous research and development in the area of photo-electrolytic hydrogen generation using chemically stable nanostructured photo-cathode/anode materials. Due to intimately coupled charge separation and photo-catalytic processes, it is very difficult to optimize individual components of such system leading to a very low demonstrated solar-to-fuel efficiency (SFE) of less than 1%. Recently there has been growing interest in an integrated photovoltaic–electrochemical (PV–EC) system based on GaAs solar cells with the demonstrated SFE of 24.5% under concentrated illumination condition. But a high cost of GaAs based solar cells and recent price drop of poly-crystalline silicon (pc-Si) solar cells motivated researchers to explore silicon based integrated PV–EC system. In this paper a theoretical framework is introduced to model silicon-based integrated PV–EC device. The theoretical framework is used to analyze the coupling and kinetic losses of a silicon solar cell based integrated PV–EC water splitting system under varying temperature and illumination. The kinetic loss occurs in the range of 19.1%–27.9% and coupling loss takes place in the range of 5.45%–6.74% with respect to varying illumination in the range of 20–100 mW/cm2. Similarly, the effect of varying temperature has severe impact on the performance of the system, wherein the coupling loss occurs in the range of 0.84%–21.51% for the temperature variation from 25 to 50 °C. © 2016 Science Press

关键词： Electrochemical cells Electrochemical impedance spectroscopy Gallium arsenide Hydrogen production Nanostructured materials Polysilicon Semiconducting gallium Silicon Silicon solar cells solar power generation

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Influence of thermal effect on multi-junction GaInP/GaAs/Ge concentrating photovoltaic system

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Chinese Optics Letters 2010年第4期8卷 354-356页

作者：徐钦峰叶青瞿荣辉方祖捷 Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences

The influence of thermal effect on the energy conversion efficiency of concentrating photovoltaic system for multi-junction GaInP/GaAs/Ge thin-film solar cell is analyzed *** the increment of operation temperature,the maximal energy conversion efficiency and optimal loaded resistor will be *** the condition of operation temperature lower than 90℃.this influence of thermal effect is very ***,when the operation temperature exceeds 90℃,the maximal conversion efficiency of the cells will decrease sharply,and contrarily the corresponding optimal loaded resistor will increase *** the system performance will degenerate badly and a thermal management will be necessary.

关键词： Energy conversion Optimization Photovoltaic effects Resistors solar energy solar power generation

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Unified MPPT Controller for Partially Shaded Panels in a Photovoltaic Array

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International Journal of Automation and computing 2014年第5期11卷 536-542页

作者： R.Sridhar S.Jeevananthan S.S.Dash N.T.Selvan Department of Electrical and Electronics Engineering SRM University Department of Electrical and Electronics Engineering Pondicherry Engineering College

The power output of the photovoltaic(PV) system having multiple arrays gets reduced to a great extent when it is partially shaded due to environmental hindrances. The maximum power trackers which are conventionally used may not be competent enough to find the maximum power point(MPP) during partially shaded conditions. The sensible reason for the failure of conventional trackers is during partial shaded conditions the PV arrays exhibit multi peak power curves, thereby making simple maximum power point tracking(MPPT) algorithms like perturb and observe(P&O) to get stuck with local maxima instead of capturing global ***, global search MPPT aided by evolutionary and swarm intelligence algorithms will be conducive to find global power point during partially shaded conditions. This work suggests a unified controller which feeds control signal to its power electronic conditioner placed at each module. The evolutionary algorithm which is taken into consideration in this work is differential evolution(DE).The performance of the proposed method is compared to the classical un-dimensional search controller and it is evident from the Matlab/Simulink results that the unified controller prevails over the distributed counterpart.

关键词： Maximum power point tracking (MPPT) solar energy photovoltaic (PV) differential evolution (DE) solar power generation evolutionary algorithm soft computing

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Reliable planning of isolated Building Integrated Photovoltaic systems

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Clean Energy 2021年第1期5卷 32-43页

作者： Rasha Elazab Janet Eid and Amr Amin Electrical power and Machines Department Faculty of EngineeringHelwan UniversityCairoEgypt

In this paper,two probabilistic reliability indices are presented to define the effect of clouds on different types of Building Integrated Photovoltaic(BIPV)*** indices do not match the main features of photovoltaic(PV)sources,such as variability,uncertainty and dependency on weather *** addition,they are time indicators that describe the percentage of total failure time per year without any indication about power or energy *** using the available Geographic Information System solar-irradiation database,the proposed indices consider a similar pattern of expected daily solar irradiation as a model of PV *** different models are studied for diverse building loads:an energy model for flexible loads and a constant-power model for critical loads.A comparative study is implemented for six different locations:Cairo,London,Berlin,Beijing,Madrid and ***,three types of BIPV systems are studied:fixed,double-axis-tracking and concentrated PV *** presented results show the effects of clouds,PV type and locations on the system performance.

关键词： stand-alone building reliability analysis capacity planning solar power generation BIPV

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Comprehensive study of efficient dye-sensitized solar cells based on the binary ionic liquid electrolyte by modifying with additives and iodine

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Optoelectronics Letters 2017年第4期13卷 263-267页

作者： MO Ao-qiang CAO Da-peng WANG Wu-yang LI Xue-yan MI Bao-xiu GAO Zhi-qiang LIANG Zhong-cheng School of Optoelectronic Engineering Nanjing University of Posts ＆ Telecommunications Nanjing 210023 China School of Material Science and Engineering Nanjing University of Posts ＆ Telecommunications Nanjing 210023 China ZTE Nanjing Branch Nanjing 210023 China National Synergetic Innovation Center for Advanced Materials Nanjing University of Posts＆Telecommunications Nanjing 210023 China

The photovoltaic performance of dye-sensitized solar cells （DSSCs） is enhanced by modifying the binary room tem- perature ionic liquid （RTIL） electrolyte with additives and iodine. The average photoelectric conversion efficiency （PCE） of 6.39% is achieved. Through electrochemical impedance spectroscopy （EIS）, cyclic voltammetry scans and incident photon-to-current conversion efficiency （1PCE） data, the working principles are analyzed. The enhancement is mainly attributed to the improvement of short circuit current which is caused by the reduction of overall internal resistance of the devices. Durability tests are measured at room temperature, and the long-term stability performance can be maintained.

关键词： Bins Conversion efficiency Cyclic voltammetry Durability Efficiency Electrochemical impedance spectroscopy Electrolytes Iodine Ionic liquids Photoelectricity solar cells solar power generation

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Short-Term Prediction of Photovoltaic power Based on Fusion Device Feature-Transfer

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Energy Engineering 2022年第4期119卷 1419-1438页

作者： Zhongyao Du Xiaoying Chen Hao Wang Xuheng Wang Yu Deng Liying Sun College of Electrical Engineering Liaoning University of TechnologyJinzhou121001China School of Electrical Engineering Shandong UniversityJinan250012China

To attain the goal of carbon peaking and carbon neutralization,the inevitable choice is the open sharing of power data and connection to the grid of high-permeability renewable ***,this approach is hindered by the lack of training data for predicting new grid-connected PV power *** overcome this problem,this work uses open and shared power data as input for a short-term PV-power-prediction model based on feature transfer learning to facilitate the generalization of the PV-power-prediction model to multiple PV-power *** proposed model integrates a structure model,heat-dissipation conditions,and the loss coefficients of PV ***-Sky entropy,characterizes seasonal and weather data features,describes the main meteorological characteristics at the PV power *** gate recurrent unit neural networks as the framework,the open and shared PV-power data as the source-domain training label,and a small quantity of power data from a new grid-connected PV power station as the target-domain training label,the neural network hidden layer is shared between the target domain and the source *** fully connected layer is established in the target domain,and the regularization constraint is introduced to fine-tune and suppress the overfitting in feature *** prediction of PV power is completed by using the actual power data of PV power *** average measures of the normalized root mean square error(NRMSE),the normalized mean absolute percentage error(NMAPE),and the normalized maximum absolute percentage error(NLAE)for the model decrease by 15%,12%,and 35%,respectively,which reflects a much greater adaptability than is possible with other *** results show that the proposed method is highly generalizable to different types of PV devices and operating environments that offer insufficient training data.

关键词： solar power generation transfer learning PV module UMAP GRU overfitting

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