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The electric storage coupled solar energy and air source heat pump (ECSA) system uses the electric heating boiler to charge heat for the PCM tank during the night valley power, meanwhile the air source heat pump system to heat the building. In the non-valley power period, the solar heat collection system combined with the heat release of PCM tank is used to heat the building. The ECSA system had excellent operation effect in cold region and hot summer and cold winter region. In cold region, the heating cost of ECSA system is higher.

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    ARTICLE

    Enhanced Electric Power Adaptability Using Hybrid Pumped-Hydro Technology with Wind and Photovoltaic Integration

    Uwem O. Ikitde1, Abayomi A. Adebiyi1,*, Innocent E. Davidson2, Ayodeji S. Akinyemi1
    Energy Engineering, Vol.120, No.9, pp. 1939-1961, 2023, DOI:10.32604/ee.2023.027574 - 03 August 2023
    (This article belongs to the Special Issue: Advanced Heat Pump Technologies for Renewable Energy Utilization)
    Abstract The integration of solar and wind energy into the electrical grid has received global research attention due to their unpredictable characteristics. Because wind energy varies across all timescales of utility activity, renewable energy generation should be supplemented and enhanced, from real-time, minute-to-minute variations to annual alterations influencing long-term strategy. Wind energy generation does not only fluctuate but is also challenging to accurately forecast the timeframes of significance to electricity decision makers; day-ahead and long-term making plans of framework sufficiency such as meeting the network peak load annually. A utility that integrates wind and solar energy… More >

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    ARTICLE

    Simulation Research on Coal-Water Slurry Gasification of Oil-Based Drill Cuttings Based on Fluent

    Liang Hu, Hailong Yu*, Liuyang Huang, Yayun Xu, Xulei Wu, Yunlan Sun, Baozhong Zhu
    Energy Engineering, Vol.120, No.9, pp. 1963-1977, 2023, DOI:10.32604/ee.2023.027897 - 03 August 2023
    Abstract In this paper, based on Fluent software, a five-nozzle gasifier reactor was established to simulate the gasification process of oil-based drill cuttings coal-water slurry. The influence of concentration and oxygen/carbon atomic ratio on the gasification process of oil-based drill cuttings coal-water slurry was investigated. The results show that when the oxygen flow is constant, the outlet temperature of gasifier decreases, the content of effective gas increases, and the carbon conversion rate decreases with the increase of concentration; When the ratio of oxygen to carbon atoms is constant, the effective gas content rises and the temperature More >

    Graphic Abstract

    Simulation Research on Coal-Water Slurry Gasification of Oil-Based Drill Cuttings Based on Fluent

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    ARTICLE

    Research on Low Voltage Series Arc Fault Prediction Method Based on Multidimensional Time-Frequency Domain Characteristics

    Feiyan Zhou1,*, Hui Yin1, Chen Luo2, Haixin Tong2, Kun Yu2, Zewen Li2, Xiangjun Zeng2
    Energy Engineering, Vol.120, No.9, pp. 1979-1990, 2023, DOI:10.32604/ee.2023.029480 - 03 August 2023
    Abstract The load types in low-voltage distribution systems are diverse. Some loads have current signals that are similar to series fault arcs, making it difficult to effectively detect fault arcs during their occurrence and sustained combustion, which can easily lead to serious electrical fire accidents. To address this issue, this paper establishes a fault arc prototype experimental platform, selects multiple commonly used loads for fault arc experiments, and collects data in both normal and fault states. By analyzing waveform characteristics and selecting fault discrimination feature indicators, corresponding feature values are extracted for qualitative analysis to explore… More >

    Graphic Abstract

    Research on Low Voltage Series Arc Fault Prediction Method Based on Multidimensional Time-Frequency Domain Characteristics

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    ARTICLE

    Research on Operation Optimization of Heating System Based on Electric Storage Coupled Solar Energy and Air Source Heat Pump

    Jingxiao Han1, Chuanzhao Zhang2, Lu Wang3,*, Zengjun Chang1, Qing Zhao1, Ying Shi4, Jiarui Wu5, Xiangfei Kong3
    Energy Engineering, Vol.120, No.9, pp. 1991-2011, 2023, DOI:10.32604/ee.2023.029749 - 31 July 2023
    (This article belongs to the Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
    Abstract For heating systems based on electricity storage coupled with solar energy and an air source heat pump (ECSA), choosing the appropriate combination of heat sources according to local conditions is the key to improving economic efficiency. In this paper, four cities in three climatic regions in China were selected, namely Nanjing in the hot summer and cold winter region, Tianjin in the cold region, Shenyang and Harbin in the severe cold winter region. The levelized cost of heat (LCOH) was used as the economic evaluation index, and the energy consumption and emissions of different pollutants… More >

    Graphic Abstract

    Research on Operation Optimization of Heating System Based on Electric Storage Coupled Solar Energy and Air Source Heat Pump

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    ARTICLE

    Research on Reactive Power Optimization of Offshore Wind Farms Based on Improved Particle Swarm Optimization

    Zhonghao Qian1, Hanyi Ma1, Jun Rao2, Jun Hu1, Lichengzi Yu2,*, Caoyi Feng1, Yunxu Qiu1, Kemo Ding1
    Energy Engineering, Vol.120, No.9, pp. 2013-2027, 2023, DOI:10.32604/ee.2023.028859 - 03 August 2023
    (This article belongs to the Special Issue: Utilizing Particle Swarm Optimization Algorithm for Energy Management Application)
    Abstract The lack of reactive power in offshore wind farms will affect the voltage stability and power transmission quality of wind farms. To improve the voltage stability and reactive power economy of wind farms, the improved particle swarm optimization is used to optimize the reactive power planning in wind farms. First, the power flow of offshore wind farms is modeled, analyzed and calculated. To improve the global search ability and local optimization ability of particle swarm optimization, the improved particle swarm optimization adopts the adaptive inertia weight and asynchronous learning factor. Taking the minimum active power… More >

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    ARTICLE

    Research on Asymmetric Fault Location of Wind Farm Collection System Based on Compressed Sensing

    Huanan Yu1, Gang Han1,*, Hansong Luo2, He Wang1
    Energy Engineering, Vol.120, No.9, pp. 2029-2057, 2023, DOI:10.32604/ee.2023.028365 - 03 August 2023
    (This article belongs to the Special Issue: Wind Energy Development and Utilization)
    Abstract Aiming at the problem that most of the cables in the power collection system of offshore wind farms are buried deep in the seabed, which makes it difficult to detect faults, this paper proposes a two-step fault location method based on compressed sensing and ranging equation. The first step is to determine the fault zone through compressed sensing, and improve the data measurement, dictionary design and algorithm reconstruction: Firstly, the phase-locked loop trigonometric function method is used to suppress the spike phenomenon when extracting the fault voltage, so that the extracted voltage value will not… More >

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    ARTICLE

    Fault Current Identification of DC Traction Feeder Based on Optimized VMD and Sample Entropy

    Zhixian Qi1,2,*, Shuohe Wang1,2, Qiang Xue1,2, Haiting Mi3, Jian Wang1,2
    Energy Engineering, Vol.120, No.9, pp. 2059-2077, 2023, DOI:10.32604/ee.2023.028595 - 03 August 2023
    (This article belongs to the Special Issue: Fault Diagnosis and State Evaluation of New Power Grid)
    Abstract A current identification method based on optimized variational mode decomposition (VMD) and sample entropy (SampEn) is proposed in order to solve the problem that the main protection of the urban rail transit DC feeder cannot distinguish between train charging current and remote short circuit current. This method uses the principle of energy difference to optimize the optimal mode decomposition number k of VMD; the optimal VMD for DC feeder current is decomposed into the intrinsic modal function (IMF) of different frequency bands. The sample entropy algorithm is used to perform feature extraction of each IMF, and More >

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    ARTICLE

    Risk Analysis Using Multi-Source Data for Distribution Networks Facing Extreme Natural Disasters

    Jun Yang*, Nannan Wang, Jiang Wang, Yashuai Luo
    Energy Engineering, Vol.120, No.9, pp. 2079-2096, 2023, DOI:10.32604/ee.2023.028653 - 03 August 2023
    Abstract Distribution networks denote important public infrastructure necessary for people’s livelihoods. However, extreme natural disasters, such as earthquakes, typhoons, and mudslides, severely threaten the safe and stable operation of distribution networks and power supplies needed for daily life. Therefore, considering the requirements for distribution network disaster prevention and mitigation, there is an urgent need for in-depth research on risk assessment methods of distribution networks under extreme natural disaster conditions. This paper accesses multi-source data, presents the data quality improvement methods of distribution networks, and conducts data-driven active fault diagnosis and disaster damage analysis and evaluation using More >

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    ARTICLE

    Distribution of Partial Arc Propagation Path on Insulator and Its Discrimination Method

    Zhibo Song1,*, Hao Yang1, Wei Shen2, Yixin Ren1, Yawei Li3, Jianlong Ma1
    Energy Engineering, Vol.120, No.9, pp. 2097-2113, 2023, DOI:10.32604/ee.2023.029115 - 03 August 2023
    (This article belongs to the Special Issue: Advances in Modern Electric Power and Energy Systems)
    Abstract Pollution flashover is one of the major insulation accidents that can occur in modern power systems. If the local arc is not sufficiently elongated by the creepage distance, the flashover performance of the insulator will decrease. The insulator structure and equivalent salt deposition density (ESDD) are the main factors affecting the arc path and length. To investigate the forms of arc paths under different insulator structures and their influence on flashover characteristics, a platform for recording arc paths is established. This study presents a method to identify the pattern and distribution of insulator arc paths… More >

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    ARTICLE

    Study on Intermittent Discharge Characteristics of Typical Solid Insulation Defects in Gas Insulated Switchgear

    Xu Yang1,2, Jing Zhang1,2, Chuanxian Luo1,2, Qinqing Huang1,2, Hui Xu1,2, Guozhi Zhang1,2,*
    Energy Engineering, Vol.120, No.9, pp. 2115-2132, 2023, DOI:10.32604/ee.2023.027198 - 03 August 2023
    Abstract In response to the problem of frequent leakage and false alarm of partial discharge insulation defects in GIS, this paper conducts experimental research on intermittent discharge characteristics of common solid insulation defects in GIS. Using true GIS to build a multi-source testing platform for intermittent discharge of solid insulation defects, and using pulse current method, ultra-high frequency method, ultrasonic method, and gas characteristic component detection method to study the variation law of intermittent discharge characteristics of solid insulation defects. The results show that: the intermittent discharge state of metal fouling defects on the solid insulation… More >

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    ARTICLE

    Optimal Location and Sizing of Distributed Generator via Improved Multi-Objective Particle Swarm Optimization in Active Distribution Network Considering Multi-Resource

    Guobin He*, Rui Su, Jinxin Yang, Yuanping Huang, Huanlin Chen, Donghui Zhang, Cangtao Yang, Wenwen Li
    Energy Engineering, Vol.120, No.9, pp. 2133-2154, 2023, DOI:10.32604/ee.2023.029007 - 03 August 2023
    (This article belongs to the Special Issue: Fault Diagnosis and State Evaluation of New Power Grid)
    Abstract In the framework of vigorous promotion of low-carbon power system growth as well as economic globalization, multi-resource penetration in active distribution networks has been advancing fiercely. In particular, distributed generation (DG) based on renewable energy is critical for active distribution network operation enhancement. To comprehensively analyze the accessing impact of DG in distribution networks from various parts, this paper establishes an optimal DG location and sizing planning model based on active power losses, voltage profile, pollution emissions, and the economics of DG costs as well as meteorological conditions. Subsequently, multi-objective particle swarm optimization (MOPSO) is… More >

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    ARTICLE

    A Techno-Economical Characterization of Solar PV Power Generation in Rwanda: The Role of Subsidies and Incentives

    Morris Kayitare1,2,*, Gace Athanase Dalson2,3, Al-Mas Sendegeyad4
    Energy Engineering, Vol.120, No.9, pp. 2155-2175, 2023, DOI:10.32604/ee.2023.028559 - 03 August 2023
    (This article belongs to the Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
    Abstract Standalone Solar PV systems have been vital in the improvement of access to energy in many countries. However, given the large cost of solar PV plants’ components, in developing countries, there is a dear need for such components to be subsidised and incentivised for the consumers to afford the produced energy. Moreover, there is a need for optimal sizing of the solar PV plants taking into account the solar information, energy requirement for various activities, and economic conditions in the off-grid regions in Rwanda. This study aims to develop optimally sized solar PV plants suited… More >

    Graphic Abstract

    A Techno-Economical Characterization of Solar PV Power Generation in Rwanda: The Role of Subsidies and Incentives

  • Open AccessOpen Access

    ARTICLE

    Reactive Power Flow Convergence Adjustment Based on Deep Reinforcement Learning

    Wei Zhang1, Bin Ji2, Ping He1, Nanqin Wang1, Yuwei Wang1, Mengzhe Zhang2,*
    Energy Engineering, Vol.120, No.9, pp. 2177-2192, 2023, DOI:10.32604/ee.2023.026504 - 03 August 2023
    Abstract Power flow calculation is the basis of power grid planning and many system analysis tasks require convergent power flow conditions. To address the unsolvable power flow problem caused by the reactive power imbalance, a method for adjusting reactive power flow convergence based on deep reinforcement learning is proposed. The deep reinforcement learning method takes switching parallel reactive compensation as the action space and sets the reward value based on the power flow convergence and reactive power adjustment. For the non-convergence power flow, the 500 kV nodes with reactive power compensation devices on the low-voltage side More >

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