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  • Open Access

    ARTICLE

    Optimal Intelligent Reconfiguration of Distribution Network in the Presence of Distributed Generation and Storage System

    Gang Lei1,*, Chunxiang Xu2

    Energy Engineering, Vol.119, No.5, pp. 2005-2029, 2022, DOI:10.32604/ee.2022.021154 - 21 July 2022

    Abstract In the present paper, the distribution feeder reconfiguration in the presence of distributed generation resources (DGR) and energy storage systems (ESS) is solved in the dynamic form. Since studies on the reconfiguration problem have ignored the grid security and reliability, the non-distributed energy index along with the energy loss and voltage stability indices has been assumed as the objective functions of the given problem. To achieve the mentioned benefits, there are several practical plans in the distribution network. One of these applications is the network rearrangement plan, which is the simplest and least expensive way… More >

  • Open Access

    ARTICLE

    Effects of Hydrogen Storage System and Renewable Energy Sources for Optimal Bidding Strategy in Electricity Market

    Can Li*, Xiaode Zuo

    Energy Engineering, Vol.119, No.5, pp. 1879-1903, 2022, DOI:10.32604/ee.2022.020472 - 21 July 2022

    Abstract This work suggested a novel model for obtaining optimum bidding/offering strategy to improve the benefits in case of big users. Aiming this regard, several electrical energy resources including: micro turbines, green power sources (wind turbine and photovoltaic system), power storage unit such as Hydrogen storage system with fuel cell, as well as mutual treaties are taken into account in offered model. Considering various models for uncertain parameters based on their natures such as power demand, electricity market tariffs, solar irradiation, temperature and wind speed is one of the contributions of the proposed model. Uncertainty of… More >

  • Open Access

    ARTICLE

    Deep Learning Network for Energy Storage Scheduling in Power Market Environment Short-Term Load Forecasting Model

    Yunlei Zhang1, Ruifeng Cao1, Danhuang Dong2, Sha Peng3,*, Ruoyun Du3, Xiaomin Xu3

    Energy Engineering, Vol.119, No.5, pp. 1829-1841, 2022, DOI:10.32604/ee.2022.020118 - 21 July 2022

    Abstract In the electricity market, fluctuations in real-time prices are unstable, and changes in short-term load are determined by many factors. By studying the timing of charging and discharging, as well as the economic benefits of energy storage in the process of participating in the power market, this paper takes energy storage scheduling as merely one factor affecting short-term power load, which affects short-term load time series along with time-of-use price, holidays, and temperature. A deep learning network is used to predict the short-term load, a convolutional neural network (CNN) is used to extract the features, More >

  • Open Access

    ARTICLE

    Application and Challenge of Blockchain Technology in Medical Field

    Kaifeng Zhang1, Zhao Qiu1,*, Gengquan Xie1, Jiale Lin1, Tingting Zhang1, Yingsheng Lian1, Tao Chen1, Yunlong He2, Yu Yang2

    Journal of Cyber Security, Vol.4, No.2, pp. 95-107, 2022, DOI:10.32604/jcs.2022.029451 - 04 July 2022

    Abstract Due to its unique security, blockchain technology is widely used in the financial field. Under the background of the rapid development of information technology and the rapid improvement of medical level, it is also a general trend to integrate blockchain technology into the medical field. According to the characteristics of blockchain and the research contents of many scholars on the application of blockchain in the medical field, this paper analyzes and summarizes the problems existing in the current development of blockchain, puts forward corresponding solutions, and looks forward to the further application of blockchain technology More >

  • Open Access

    ARTICLE

    Effects of Porous Graphene on LiOH Based Composite Materials for Low Temperature Thermochemical Heat Storage

    Lisheng Deng1,2, Hongyu Huang2,*, Zhaohong He2, Shijie Li2, Zhen Huang2, Mitsuhiro Kubota3, You Zhou4,*, Dezhen Chen1

    Journal of Renewable Materials, Vol.10, No.11, pp. 2895-2906, 2022, DOI:10.32604/jrm.2022.019071 - 29 June 2022

    Abstract Thermochemical heat storage material inorganic hydrate LiOH is selected as a promising candidate material for storing low-temperature heat energy because of its high energy density (1440 kJ/kg) and mild reaction process. However, the low hydration rate of LiOH limits the performance of low temperature thermochemical heat storage system as well as the thermal conductivity. In this study, porous-graphene/LiOH composite thermochemical heat storage materials with strong water sorption property and higher thermal conductivity were synthesized by hydrothermal process. The experimental results show that the hydration rate of the composites was greatly improved. The heat storage density More >

  • Open Access

    ARTICLE

    Feasibility Study for a Hybrid Power Plant (PV-Wind-Diesel-Storage) Connected to the Electricity Grid

    Fahad Maoulida1,2, Kassim Mohamed Aboudou1,2,3,*, Djedjig Rabah2, Mohammed El-Ganaoui2

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1607-1617, 2022, DOI:10.32604/fdmp.2022.023199 - 27 June 2022

    Abstract In this work, we present a feasibility study for a new hybrid power plant (PV-Wind-Diesel-Storage) directly connected to the electrical grid. Several simulations are performed to verify the performance of the hybrid system under different scenarios using real meteorological data. It is shown that the performances of the hybrid system connected to the electrical network depend obviously on the available energy resources and constraints because the renewable energies are intermittent. In addition, the price of the kWh of electricity supplied by the hybrid system is determined, which amounts to $0.209/kWh, which is very cost effective More > Graphic Abstract

    Feasibility Study for a Hybrid Power Plant (PV-Wind-Diesel-Storage) Connected to the Electricity Grid

  • Open Access

    ARTICLE

    Evaluation of On-Line MPPT Algorithms for PV-Based Battery Storage Systems

    Belqasem Aljafari1, Eydhah Almatrafi2,3,4, Sudhakar Babu Thanikanti5, Sara A. Ibrahim6, Mohamed A. Enany6,*, Marwa M. Ahmed7

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3595-3611, 2022, DOI:10.32604/cmc.2022.030733 - 16 June 2022

    Abstract This paper presents a novel Simulink models with an evaluation study of more widely used On-Line Maximum Power Point tracking (MPPT) techniques for Photo-Voltaic based Battery Storage Systems (PV-BSS). To have a full comparative study in terms of the dynamic response, battery state of charge (SOC), and oscillations around the Maximum Power Point (MPP) of the PV-BSS to variations in climate conditions, these techniques are simulated in Matlab/Simulink. The introduced methodologies are classified into two types; the first type is conventional hill-climbing techniques which are based on instantaneous PV data measurements such as Perturb &… More >

  • Open Access

    ARTICLE

    A Scalable Double-Chain Storage Module for Blockchain

    Hui Han1,2, Wunan Wan1,2,*, Jinquan Zhang1,2, Zhi Qin1,2, Xiaofang Qiu1,2, Shibin Zhang1,2, Jinyue Xia3

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2651-2662, 2022, DOI:10.32604/cmc.2022.028607 - 16 June 2022

    Abstract With the growing maturity of blockchain technology, its peer-to-peer model and fully duplicated data storage pattern enable blockchain to act as a distributed ledger in untrustworthy environments. Blockchain storage has also become a research hotspot in industry, finance, and academia due to its security, and its unique data storage management model is gradually becoming a key technology to play its value in various fields’ applications. However, with the increasing amount of data written into the blockchain, the blockchain system faces many problems in its actual implementation of the application, such as high storage space occupation,… More >

  • Open Access

    ARTICLE

    Research on Distributed Cooperative Control Strategy of Microgrid Hybrid Energy Storage Based on Adaptive Event Triggering

    Wenqian Zhang1, Jingwen Chen1,*, Saleem Riaz3, Naiwen Zheng1, Li Li2

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 585-604, 2022, DOI:10.32604/cmes.2022.020523 - 15 June 2022

    Abstract Distributed collaborative control strategies for microgrids often use periodic time to trigger communication, which is likely to enhance the burden of communication and increase the frequency of controller updates, leading to greater waste of communication resources. In response to this problem, a distributed cooperative control strategy triggered by an adaptive event is proposed. By introducing an adaptive event triggering mechanism in the distributed controller, the triggering parameters are dynamically adjusted so that the distributed controller can communicate only at a certain time, the communication pressure is reduced, and the DC bus voltage deviation is effectively More >

  • Open Access

    ARTICLE

    Thermal Analysis of Melting Occurring Inside a Finned Rectangular Enclosure Equipped with Discrete Pulsed Protruding Heat Sources

    Brahim Amahan1, Hamid El Qarnia2,*, Ali El Afif1

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.5, pp. 1539-1549, 2022, DOI:10.32604/fdmp.2022.021839 - 27 May 2022

    Abstract This paper numerically investigates the effect of the location of a horizontal fin on the melting of a phase change material (PCM) inside a rectangular enclosure heated by multiple discrete pulsed protruding heat sources. The fin and the phase change material filling the enclosure store the thermal energy extracted from the heat sources, in sensible and latent forms. The heat sources are assumed to simulate electronic components undergoing a superheating technical issue. By extracting heat from the electronics, the PCM plays the role of a heat sink. To analyze the thermal behavior and predict the… More >

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