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2021 International Conference on Computer System, Information Technology, and electrical engineering, COSITE 2021

作者： Sara, Ira Devi Rosmin, Norzanah Binti Syiah Kuala University Electrical Engineering and Computer Systems Dept 23111 Indonesia UTM Faculty of Electrical Engineering Power Department Skudai Johor Malaysia

ISBN: (纸本)9781665425094

This paper analyses the effects of uncertainties in the spectral response (SR) measurement using the polychromatic filter (PF) method on the SR measurement result. The advantage of using polychromatic filter method in the SR measurement is that the beam intensity illuminating the device under test becomes much higher compared to the conventional monochromatic filter (MF) method. The PF method only requires a set of measured short-circuit currents, a set of irradiance spectra corresponding to the measured currents, a spectral response model, and a fitting algorithm for SR determination. The SR characteristic curve of a solar photovoltaic device is obtained by fitting the device measured current to the photocurrent formula. The contribution of the uncertainty of different input parameters to the SR determination can be quantified and understood by using the Monte Carlo method. The sensitivity analysis shows that the accuracy of the SR determination obtained using the PF method significantly depends on the uncertainty in choosing appropriate initial values for the coefficients of the chosen SR model. © 2021 IEEE.

关键词： Monte Carlo methods

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Considerations about power systems Reliability 10

Considerations about Power Systems Reliability

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10th International Conference on ENERGY and ENVIRONMENT, CIEM 2021

作者： Crisovan, Florian Iulian Pocola, Adrian Augustin Dogaru, Elvis Alexandru Frigura-Iliasa, Mihaela Frigura-Iliasa, Flaviu Mihai Vatau, Doru Faculty of Electrical and Power Engineering POLITEHNICA University Timisoara Timisoara Romania POLITEHNICA University Timisoara Power Systems Department Timisoara Romania

ISBN: (纸本)9781665445849

All main issues in power systems reliability assessment are related to the linear of the Load Flow equations, network outages or all interdependences among nodal power injections. Classic methods of assessment are classified as simulation methods, analytical methods, or combinations of both. All of them are applied to determine the mean and variance of the power Line Flow. In all power system reliability issues, estimation of the probabilistic techniques is mandatory, due to the random charge of lines, generated powers, and electrical outages on lines. Our paper presents a new technique to assess any loss of load probability and estimated non-supplied power, based for the convolution of probability distribution functions for load flow using the linear load flow equations. power generation units were considered by introducing a probabilistic binomial distribution, while line loads were estimated trough a normal distribution. All equivalent Probability Distribution Functions (PDF) were estimated only by means of a sum of weighted normal distributions, having all means and variances calculated from real load means, or, respectively by sums of load variances. Losses of load probability and the expected energy not supplied were computed only by Gauss-Laplace type functions. © 2021 IEEE.

关键词： Normal distribution

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Development and Techno-Economic Analysis of Solar power Plant Projects in Vietnam

Development and Techno-Economic Analysis of Solar Power Plan...

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International Youth Conference on Radio Electronics, electrical and power engineering (REEPE)

作者： Nam H. Pham Oleg N. Kuznetsov Canh T. Doan Electrical Power Systems Department Department of Relay Protection and Automation of Energy Systems National Research University “MPEI” Moscow Russian Federation Department of Electrical and Electronic Engineering Technology Institute of Engineering and Technology Vinh University Viet Nam Faculty of Engineering and Technology Hong Duc University Vietnam

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

As global energy demand continues to rise, concerns about climate change, environmental issues, and the depletion of fossil fuel resources require a careful consideration of the use of renewable energy, including solar energy. Vietnam's solar power plant (SPP) capacity has expanded considerably in recent years. However, technical and economic calculations for large-scale solar power plants and comparisons with other power plants are still limited. In this paper, the technical and economic aspects of solar power plants will be evaluated, with key economic indicators such as net present value (NPV), levelized cost of energy (LCOE), internal rate of return (IRR), benefit-cost ratio (BCR), and payback period (PB) being analyzed for both current and future scenarios. The results show that all power plants are economically effective. Furthermore, with investment costs for solar power plants decreasing rapidly, solar power plants will have high economic efficiency in the future. The useful information for investing and developing renewable energy policies in Vietnam is also presented in this paper.

关键词： Economics Renewable energy sources power engineering Energy consumption Costs Reviews Solar energy Fossil fuels power generation Investment

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Predicting short-term energy usage in a smart home using hybrid deep learning models

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Frontiers in Energy Research 2024年 12卷

作者： Ou Ali, Imane Hammou Agga, Ali Ouassaid, Mohammed Maaroufi, Mohamed Elrashidi, Ali Kotb, Hossam Engineering for Smart and Sustainable Systems Research Center Mohammadia School of Engineers Mohammed V University in Rabat Rabat Morocco Electrical Engineering Department University of Business and Technology Jeddah Saudi Arabia Department of Electrical Power and Machines Faculty of Engineering Alexandria University Alexandria Egypt

The forecasting of home energy consumption is a crucial and challenging topic within the realm of artificial intelligence (AI)-enhanced energy management in smart grids (SGs). The primary goal of this study is to provide accurate energy consumption forecasts for a smart home. Two deep learning models are implemented: ConvLSTM, which combines convolutional operations with Long Short-Term Memory (LSTM), and the CNN-LSTM model, which synergizes Convolutional Neural Networks (CNN) and LSTM networks. Both hybrid models offer a comprehensive approach to modeling complex relationships in spatial and temporal patterns. Additionally, two baseline models—LSTM and CNN—are employed for comparative analysis. Utilizing real data from a smart home in Houston, Texas, the results demonstrate that both the hybrid models deliver highly accurate predictions for energy consumption. However, the ConvLSTM model outperforms all proposed models, improving predictions in terms of mean absolute percentage error by 4.52%, 9.59%, and 10.53% for 1 day, 3 days, and 6 days in advance, respectively. Copyright © 2024 Ou Ali, Agga, Ouassaid, Maaroufi, Elrashidi and Kotb.

关键词： Smart homes

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Algorithm for Calculating the B-Spline Coefficients used in Interpolations for Harmonics Assessment in power systems Applications 10

Algorithm for Calculating the B-Spline Coefficients used in ...

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10th International Conference on ENERGY and ENVIRONMENT, CIEM 2021

作者： Pocola, Adrian Augustin Dogaru, Elvis Alexandru Crisovan, Florian Iulian Frigura-Iliasa, Mihaela Frigura-Iliasa, Flaviu Mihai Vatau, Doru Faculty of Electrical and Power Engineering POLITEHNICA University Timisoara Timisoara Romania POLITEHNICA University Timisoara Power Systems Department Timisoara Romania

ISBN: (纸本)9781665445849

Interpolation is a key element in the assessment the harmonics which appear inside power grids, due to the fact that only some discrete values are sampled from the measurements of real currents or voltages. On the generalized interpolation practice and theory, two steps are mandatory for an optimal performance. First step is to calculate a few coefficients from the input samples. This paper describes a simple algorithm developed in a few steps. Another recursive algorithm was developed from this one. When applied on very short data strings, it provides excellent outputs. This algorithm is divergent and induced big errors if it is applied on a larger number of samples. Error propagation was also studied. Even the errors are important, the method is useful and can be applied successfully on very short intervals. Those coefficients are used to determine the interpolated values on the second step. Some important side errors appear due to the finite length of the coefficients string. This paper presents a method to decrease those errors. The method extends the coefficients string. Some new coefficients are computed at the beginning and the end of the string. © 2021 IEEE.

关键词： Interpolation

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Robust Frequency Regulation for Dual-Area Interconnected Grids Using Hybrid Controller: A Comparative Study 3

Robust Frequency Regulation for Dual-Area Interconnected Gri...

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3rd IEEE International Conference on Smart Technologies for power, Energy and Control, STPEC 2023

作者： Wazir, Awadh Ba Alhussainy, Abdullah A. Alobaidi, Abdulraheem H. Altaf, Aatif Kumar, Anil Kumar, Mahendra Alghamdi, Sultan King Abdulaziz University Faculty of Engineering Department of Electrical and Computer Engineering Jeddah Saudi Arabia King Abdulaziz University Center of Research Excellence in Renewable Energy and Power Systems Jeddah Saudi Arabia Dr. B R Ambedkar National Institute of Technology Jalandhar Instrumentation and Control Engineering Department Punjab Jalandhar India

ISBN: (纸本)9798350304732

This paper introduces a robust controller designed for load frequency control in a dual-area integrated power grid. Here, the suggested controller is a blend of a fuzzy logic controller with an integral controller. The parameters of the integral controller and frequency bias settings are optimized to enhance the dynamic response of the proposed controller. To attain this, three distinct optimization algorithms are employed, i.e., genetic algorithm, simulated annealing, and pattern search. A new objective function using settling time, settling-max, and settling-min with a suitable weight factor is used to improve the parameters estimation process. A comparative analysis is performed using the proposed approach and classical-I controller under two cases considering several load disturbance scenarios. Furthermore, the suggested hybrid controller is evaluated and compared with similar models in the literature. As expected, the proposed controller exhibits superior performance. © 2023 IEEE.

关键词： Fuzzy logic controller integral controller load frequency control optimization technique parameter estimation

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About Establishing the Functional Service Limits for Low Voltage Metal Oxide Varistors 10

About Establishing the Functional Service Limits for Low Vol...

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10th International Conference on ENERGY and ENVIRONMENT, CIEM 2021

作者： Dogaru, Elvis Alexandru Pocola, Adrian Augustin Crisovan, Florian Iulian Frigura-Iliasa, Mihaela Frigura-Iliasa, Flaviu Mihai Vatau, Vlad Faculty of Electrical and Power Engineering POLITEHNICA University Timisoara Timisoara Romania POLITEHNICA University Timisoara Power Systems Department Timisoara Romania

ISBN: (纸本)9781665445849

This paper describes an original testing method process designed to determine the stability envelope of a certain Metal Oxide Varistor (MOV) as a direct relation between the environmental temperature and the operational voltage in permanent operational mode. Although the current established throughout a MOV is heavily influenced by its own temperature, it is mandatory to find a certain relation between these two factors which are increasing the temperature of that power electronic device. Environmental temperature can increase the reference of its temperature and an additional voltage will cause an increased current generating a runaway heating process, having a direct connection between them. In order to avoid references to geometrical dimensions or voltage values, we will make all references to the load coefficient which is the ratio between the operational voltage (in DC) and the nominal opening voltage (also in DC). By means of experiments and a minimal mathematical model we will determine the equation of the critical load coefficient as function of the environmental temperature in case of disk varistors. This method could be useful for the design of more advance and reliable surge arrester based on existing Metal Oxide Varistors, for any voltage levels and any configurations. © 2021 IEEE.

关键词： Metals

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QoS Prediction Model of Cloud Services Based on Deep Learning

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IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 564-566页

作者： WenJun Huang PeiYun Zhang YuTong Chen MengChu Zhou Yusuf Al-Turki Abdullah Abusorrah Nanjing University of Information Science&Technology School of Computer and SoftwareNanjingChina IEEE New Jersey Institute of Technology Helen and John C.Hartmann Department of Electrical and Computer EngineeringNewarkUSA Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of Engineeringand K.A.CARE Energy Research and Innovation CenterKing Abdulaziz UniversityJeddah 21589Saudi Arabia

Dear editor,This letter presents a deep learning-based prediction model for the quality-of-service(QoS)of cloud ***,to improve the QoS prediction accuracy of cloud services,a new QoS prediction model is proposed,which is based on multi-staged multi-metric feature fusion with individual *** multi-metric features include global,local,and individual *** results show that the proposed model can provide more accurate QoS prediction results of cloud services than several state-of-the-art methods.

关键词： services Services individual

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Data Augmented Rule-based Expert System to Control a Hybrid Storage System

Data Augmented Rule-based Expert System to Control a Hybrid ...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Ricardo J. Bessa Francisco Lobo Francisco Fernandes Bernardo Silva Centre for Power and Energy Systems (CPES) INESC TEC Porto Portugal CPES & Department of Electrical and Computer Engineering INESC TEC & Faculty of Engineering University of Porto Porto Portugal

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

Hybrid storage systems that combine high energy density and high power density technologies can enhance the flexibility and stability of microgrids and local energy communities under high renewable energy shares. This work introduces a novel approach integrating rule-based (RB) methods with evolutionary strategies (ES)-based reinforcement learning. Unlike conventional RB methods, this approach involves encoding rules in a domain-specific language and leveraging ES to evolve the symbolic model via data-driven interactions between the control agent and the environment. The results of a case study with Li-ion and redox flow batteries show that the method effectively extracted rules that minimize the energy exchanged between the community and the grid.

关键词： Training Renewable energy sources power system measurements Reinforcement learning Microgrids Redox power system stability

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ANN-Based Large-Scale Cooperative Solar Generation Forecasting

Renewable Energy and Power Quality Journal

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Renewable Energy and power Quality Journal 2022年 20卷 559-563页

作者： Pašić, Lejla Pašić, Azra Pašić, Alija Vokony, István Department of Electric Power Engineering Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary Department of Telecommunications and Media Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary ELKH-BME Information Systems Research Group Magyar Tudósok krt. 2 Budapest1117 Hungary

In this work we introduce the concept and method of so-called cooperative solar generation forecasting, where geographically close data sources are utilized in order to improve forecasting accuracy. We devised and examined various large-scale one-hour-ahead artificial neural networks based solar generation forecasting scenarios to prove the benefits of cooperation. The introduced cooperative solar generation forecasting method showed significant improvement in forecasting accuracy, especially when combined with previous generation data, where a root mean square error reduction of at least 50% could be achieved in the majority of cases. We believe these results point to a scientific and economical benefit of international cooperation in solar generation forecasting. © 2022, European Association for the Development of Renewable Energy, Environment and power Quality (EA4EPQ). All rights reserved.

关键词： Forecasting

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