Open Access
ARTICLE
Chia-Nan Wang, Thuy-Duong Thi Pham*, Nhat-Luong Nhieu
Energy Engineering, DOI:10.32604/ee.2024.050224
（This article belongs to the Special Issue: Advances in Geothermal Energy)
Abstract Geothermal energy is considered a renewable, environmentally friendly, especially carbon-free, sustainable energy source that can solve the problem of climate change. In general, countries with geothermal energy resources are the ones going through the ring of fire. Therefore, not every country is lucky enough to own this resource. As a country with 117 active volcanoes and within the world’s ring of fire, it is a country whose geothermal resources are estimated to be about 40% of the world’s geothermal energy potential. However, the percentage used compared to the geothermal potential is too small. Therefore, this is the main energy source… More >
Open Access
ARTICLE
Tiezhou Wu, Yukan Zhang*
Energy Engineering, DOI:10.32604/ee.2024.049883
（This article belongs to the Special Issue: Advanced Modelling, Operation, Management and Diagnosis of Lithium Batteries)
Abstract In order to solve the problem of inconsistent energy in the charging and discharging cycles of lithium-ion battery
packs, a new multilayer equilibrium topology is designed in this paper. The structure adopts a hierarchical
structure design, which includes intra-group equilibrium, primary inter-group equilibrium and secondary intergroup equilibrium. This structure greatly increases the number of equilibrium paths for lithium-ion batteries, thus
shortening the time required for equilibrium, and improving the overall efficiency. In terms of control strategy,
fuzzy logic control (FLC) is chosen to control the size of the equilibrium current during the equilibrium process.
We performed rigorous modeling and simulation… More >
Open Access
ARTICLE
Shaokun Liu1, Zhiying Gao1,2,*, Rina Su1,2, Mengmeng Yan1, Jianwen Wang1,2
Energy Engineering, DOI:10.32604/ee.2024.049616
Abstract Although the aerodynamic loading of wind turbine blades under various conditions has been widely studied, the radial distribution of load along the blade under various yaw conditions and with blade flapping phenomena is poorly understood. This study aims to investigate the effects of second-order flapwise vibration on the mean and fluctuation characteristics of the torque and axial thrust of wind turbines under yaw conditions using computational fluid dynamics (CFD). In the CFD model, the blades are segmented radially to comprehensively analyze the distribution patterns of torque, axial load, and tangential load. The following results are obtained. (i) After applying flapwise… More >
Open Access
ARTICLE
Yirui Li1, Dongliang Xiao1,3,*, Haoyong Chen1, Weijun Cai1, Josue Campos do Prado2
Energy Engineering, DOI:10.32604/ee.2024.049232
（This article belongs to the Special Issue: Wind Energy Development and Utilization)
Abstract Currently, both regulated and deregulated power trading exist in China’s power system, which has caused imbalanced funds in the electricity market. In this paper, a simulation analysis of the electricity market with wind energy resources is conducted, and the calculation methods of unbalanced funds are investigated systematically. In detail, the calculation formulas of unbalanced funds are illustrated based on their definition, and a two-track electricity market clearing model is established. Firstly, the concept of the dual-track system is explained, and the specific calculation formulas of various types of unbalanced funds are provided. Next, considering the renewable energy consumption, the market… More >
Open Access
ARTICLE
Hao Bai1, Beiyuan Liu2,*, Hongwen Liu3, Jupeng Zeng2, Jian Ouyang4, Yipeng Liu1
Energy Engineering, DOI:10.32604/ee.2024.049848
Abstract Most ground faults in distribution network are caused by insulation deterioration of power equipment. It is difficult to find the insulation deterioration of the distribution network in time, and the development trend of the initial insulation fault is unknown, which brings difficulties to the distribution inspection. In order to solve the above problems, a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index comprehensive evaluation is proposed. Firstly, the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network, and the relational database of the distribution… More >
Open Access
ARTICLE
Jie Ma1, Pengcheng Yue2, Haozheng Yu1, Yuqing Zhang3, Youwen Zhang1, Cuiping Li3, Junhui Li3,*, Wenwen Qin3, Yong Guo1
Energy Engineering, DOI:10.32604/ee.2024.048225
Abstract In recent years, the proportion of installed wind power in the three north regions where wind power bases are concentrated is increasing, but the peak regulation capacity of the power grid in the three north regions of China is limited, resulting in insufficient local wind power consumption capacity. Therefore, this paper proposes a two-layer optimal scheduling strategy based on wind power consumption benefits to improve the power grid's wind power consumption capacity. The objective of the upper model is to minimize the peak-valley difference of the system load, which is mainly to optimize the system load by using the demand… More >
Open Access
ARTICLE
Penghui Liu1,2,*, Yaning Zhang1, Yuxing Dai2, Yanzhou Sun1,3
Energy Engineering, DOI:10.32604/ee.2024.049318
Abstract Arc grounding faults occur frequently in the power grid with small resistance grounding neutral points. The existing
arc fault identification technology only uses the fault line signal characteristics to set the identification index, which
leads to detection failure when the arc zero-off characteristic is short. To solve this problem, this paper presents an
arc fault identification method by utilizing integrated signal characteristics of both the fault line and sound lines.
Firstly, the waveform characteristics of the fault line and sound lines under an arc grounding fault are studied.
After that, the convex hull, gradient product, and correlation coefficient index are… More >
Open Access
ARTICLE
Yanqun Yu1,*, Wenhao Xu1, Yahui Huangfu1, Jinhai Liu1,2, Bensheng Wang1, Kai Liu1
Energy Engineering, DOI:10.32604/ee.2024.047986
（This article belongs to the Special Issue: Hydraulic Fracturing Theory and Application for Geo-energy Development)
Abstract China’s unconventional gas fields have a large number of low-productivity and low-efficiency wells, many of which
are located in remote and environmentally harsh mountainous areas. To address the long-term stable production
of these gas wells, plunger-lift technology plays an important role. In order to fully understand and accurately grasp
the drainage and gas production mechanisms of plunger-lift, a mechanical model of plunger-liquid column uplift in
the plunger-lift process was established, focusing on conventional plunger-lift systems and representative wellbore
configurations in the Linxing region. The operating casing pressure of the plunger-lift process and the calculation
method for the maximum daily fluid… More >
Open Access
ARTICLE
Fuju Zhou*, Li Li, Tengfei Jia, Yongchang Yin, Aixiang Shi, Shengrong Xu
Energy Engineering, DOI:10.32604/ee.2024.047680
（This article belongs to the Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract When a line failure occurs in a power grid, a load transfer is implemented to reconfigure the network by changing the states of tie-switches and load demands. Computation speed is one of the major performance indicators in power grid load transfer, as a fast load transfer model can greatly reduce the economic loss of post-fault power grids. In this study, a reinforcement learning method is developed based on a deep deterministic policy gradient. The tedious training process of the reinforcement learning model can be conducted offline, so the model shows satisfactory performance in real-time operation, indicating that it is suitable… More >
Open Access
REVIEW
Bo Yang1,2, Rui Xie1, Zhengxun Guo3,4,*
Energy Engineering, DOI:10.32604/ee.2024.049423
Abstract Maximum power point tracking (MPPT) technology plays a key role in improving the energy conversion efficiency of photovoltaic (PV) systems, especially when multiple local maximum power points (LMPPs) occur under partial shading conditions (PSC). It is necessary to modify the operating point efficiently and accurately with the help of MPPT technology to maximize the collected power. Even though a lot of research has been carried out and impressive progress achieved for MPPT technology, it still faces some challenges and dilemmas. Firstly, the mathematical model established for PV cells is not precise enough. Second, the existing algorithms are often optimized for… More >
Open Access
ARTICLE
Sichen Li1,2, Dehua Liu1,2,*, Liang Cheng1,2, Pan Ma1,2
Energy Engineering, DOI:10.32604/ee.2024.049906
（This article belongs to the Special Issue: Hydraulic Fracturing Theory and Application for Geo-energy Development)
Abstract Due to the depletion of conventional energy reserves, there has been a global shift towards non-conventional energy sources. Shale oil and gas have emerged as key alternatives. These resources have dense and heterogeneous reservoirs, which require hydraulic fracturing to extract. This process depends on identifying optimal fracturing layers, also known as ‘sweet spots’. However, there is currently no uniform standard for locating these sweet spots. This paper presents a new model for evaluating fracturability that aims to address the current gap in the field. The model utilizes a hierarchical analysis approach and a mutation model, and is distinct in its… More >
Open Access
ARTICLE
Zeyi Wang1, Mingxi Jiao1, Daliang Wang1, Minxu Liu1, Minglei Jiang2, He Wang3, Shiqiang Li3,*
Energy Engineering, DOI:10.32604/ee.2024.028223
Abstract This paper addresses the problem of complex and challenging disturbance localization in the current power system operation environment by proposing a disturbance localization method for power systems based on group sparse representation and entropy weight method. Three different electrical quantities are selected as observations in the compressed sensing algorithm. The entropy weighting method is employed to calculate the weights of different observations based on their relative disturbance levels. Subsequently, by leveraging the topological information of the power system and pre-designing an overcomplete dictionary of disturbances based on the corresponding system parameter variations caused by disturbances, an improved Joint Generalized Orthogonal… More >
Open Access
REVIEW
Quan Zhou*, Haiyang Li
Energy Engineering, DOI:10.32604/ee.2024.049387
Abstract Renewable energy is becoming more attractive as traditional fossil fuels are rapidly depleted and expensive, and their use would release pollutants. Power systems that use both wind and solar energy are more reliable and efficient than those that utilize only one energy. Hybrid renewable energy systems (HRES) are viable for remote areas operating in standalone mode. This paper aims to present the state-of-the-art research on off-grid solar-wind hybrid energy systems over the last two decades. More than 1500 published articles extracted from the Web of Science are analyzed by bibliometric methods and processed by CiteSpace to present the results with… More >
Open Access
ARTICLE
Yan Zhang1, Bowen Du2,*, Benren Pan1, Guannan Wang1, Guoqiang Xie1, Tong Jiang2
Energy Engineering, DOI:10.32604/ee.2024.048718
Abstract During faults in a distribution network, the output power of a distributed generation (DG) may be uncertain. Moreover, the output currents of distributed power sources are also affected by the output power, resulting in uncertainties in the calculation of the short-circuit current at the time of a fault. Additionally, the impacts of such uncertainties around short-circuit currents will increase with the increase of distributed power sources. Thus, it is very important to develop a method for calculating the short-circuit current while considering the uncertainties in a distribution network. In this study, an affine arithmetic algorithm for calculating short-circuit current intervals… More >
Open Access
ARTICLE
Jicai Guo1,2, Xiaowen Song1,2,*, Chang Liu1,2, Yanfeng Zhang1,2, Shijie Guo1,2, Jianxin Wu1,2, Chang Cai3, Qing’an Li3,*
Energy Engineering, DOI:10.32604/ee.2024.048854
（This article belongs to the Special Issue: Wind Energy Development and Utilization)
Abstract In winter, wind turbines are susceptible to blade icing, which results in a series of energy losses and safe operation problems. Therefore, blade icing detection has become a top priority. Conventional methods primarily rely on sensor monitoring, which is expensive and has limited applications. Data-driven blade icing detection methods have become feasible with the development of artificial intelligence. However, the data-driven method is plagued by limited training samples and icing samples; therefore, this paper proposes an icing warning strategy based on the combination of feature selection (FS), eXtreme Gradient Boosting (XGBoost) algorithm, and exponentially weighted moving average (EWMA) analysis. In… More >
Open Access
ARTICLE
Ying Qu1, Jinhao Wang1, Xueting Cheng1, Jie Hao1, Weiru Wang1, Zhewen Niu2, Yuxiang Wu2,*
Energy Engineering, DOI:10.32604/ee.2024.048300
Abstract The data-driven transient stability assessment (TSA) of power systems can predict online real-time prediction by learning the temporal features before and after faults. However, the accuracy of the assessment is limited by the quality of the data and has weak transferability. Based on this, this paper proposes a method for TSA of power systems based on an improved extreme gradient boosting (XGBoost) model. Firstly, the gradient detection method is employed to remove noise interference while maintaining the original time series trend. On this basis, a focal loss function is introduced to guide the training of the XGBoost model, enhancing the… More >
Open Access
REVIEW
Yang Xiong1,2, Jianxin Liu1,2,*, Xianhao Yi2, Bangyan Xiao2, Dan Wu2, Biao Wu2, Chunyu Gao2
Energy Engineering, DOI:10.32604/ee.2024.048536
（This article belongs to the Special Issue: Integrated Geology-Engineering Simulation and Optimizationfor Unconventional Oil and Gas Reservoirs)
Abstract In the heterogeneous reservoirs, CO2 flooding easily leads to CO2 gas channeling, which can seriously affect sweeping efficiency and reduce oil recovery. After thoroughly investigating the advantages and shortcomings of various CO2 plugging technologies, this paper focuses on the feasibility of improving conventional water-alternating gas (WAG) through CO2-responsive gel materials. Based on the different chemical reaction mechanisms between the unique chemical structure and CO2, changes in the material’s physical and chemical properties can respond to CO2. The feasibility of utilizing these property changes for CO2-responsive plugging is explored. Various CO2-responsive gels and gel nanoparticles have been extensively researched in different… More >
Open Access
ARTICLE
Zhishuo Zhang, Xinhui Du*, Yaoke Shang, Jingshu Zhang, Wei Zhao, Jia Su
Energy Engineering, DOI:10.32604/ee.2024.047706
Abstract To address the issues of limited demand response data, low generalization of demand response potential evaluation, and poor demand response effect, the article proposes a demand response potential feature extraction and prediction model based on data mining and a demand response potential assessment model for adjustable loads in demand response scenarios based on subjective and objective weight analysis. Firstly, based on the demand response process and demand response behavior, obtain demand response characteristics that characterize the process and behavior. Secondly, establish a feature extraction and prediction model based on data mining, including similar day clustering, time series decomposition, redundancy processing,… More >
Open Access
ARTICLE
Yuping Bian*, Xiu Wan, Xiaoyu Zhou
Energy Engineering, DOI:10.32604/ee.2024.047678
Abstract To address uncertainty as well as transient stability constraints simultaneously in the preventive control of wind farm systems, a novel three-stage optimization strategy is established in this paper. In the first stage, the probabilistic multi-objective particle swarm optimization based on the point estimate method is employed to cope with the stochastic factors. The transient security region of the system is accurately ensured by the interior point method in the second stage. Finally, the verification of the final optimal objectives and satisfied constraints are enforced in the last stage. Furthermore, the proposed strategy is a general framework that can combine other… More >
Open Access
ARTICLE
Lin Ma1, Liyong Wang1, Shuang Zeng1, Yutong Zhao1, Chang Liu1, Heng Zhang1, Qiong Wu2,*, Hongbo Ren2
Energy Engineering, DOI:10.32604/ee.2024.047332
（This article belongs to the Special Issue: Innovative Energy Systems Management under the Goals of Carbon Peaking and Carbon Neutrality)
Abstract Accurate load forecasting forms a crucial foundation for implementing household demand response plans and
optimizing load scheduling. When dealing with short-term load data characterized by substantial fluctuations,
a single prediction model is hard to capture temporal features effectively, resulting in diminished prediction
accuracy. In this study, a hybrid deep learning framework that integrates attention mechanism, convolution neural
network (CNN), improved chaotic particle swarm optimization (ICPSO), and long short-term memory (LSTM), is
proposed for short-term household load forecasting. Firstly, the CNN model is employed to extract features from
the original data, enhancing the quality of data features. Subsequently, the moving average… More >
Open Access
ARTICLE
Zhang Zhi1, Haiyu Huang2, Wei Xiong2, Yijia Zhou3, Mingyu Yan3,*, Shaolian Xia2, Baofeng Jiang2, Renbin Su2, Xichen Tian4
Energy Engineering, DOI:10.32604/ee.2024.047401
Abstract Stochastic unit commitment is one of the most powerful methods to address uncertainty. However, the existing
scenario clustering technique for stochastic unit commitment cannot accurately select representative scenarios,
which threatens the robustness of stochastic unit commitment and hinders its application. This paper provides
a stochastic unit commitment with dynamic scenario clustering based on multi-parametric programming and
Benders decomposition. The stochastic unit commitment is solved via the Benders decomposition, which decouples
the primal problem into the master problem and two types of subproblems. In the master problem, the committed
generator is determined, while the feasibility and optimality of generator output are… More >
Open Access
ARTICLE
Guanfu Wang1, Yudie Sun1, Jinling Li2,3,*, Yu Jiang1, Chunhui Li1, Huanan Yu2,3, He Wang2,3, Shiqiang Li2,3
Energy Engineering, DOI:10.32604/ee.2024.047794
（This article belongs to the Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract Traditional optimal scheduling methods are limited to accurate physical models and parameter settings, which are difficult to adapt to the uncertainty of source and load, and there are problems such as the inability to make dynamic decisions continuously. This paper proposed a dynamic economic scheduling method for distribution networks based on deep reinforcement learning. Firstly, the economic scheduling model of the new energy distribution network is established considering the action characteristics of micro-gas turbines, and the dynamic scheduling model based on deep reinforcement learning is constructed for the new energy distribution network system with a high proportion of new energy,… More >
Open Access
ARTICLE
Guanglu Xie1, Zhimin Xue1, Bo Xiong1, Yaowen Huang1, Chaoming Chen1, Qing Liao1, Cheng Yang2,*, Xiaoqian Ma2
Energy Engineering, DOI:10.32604/ee.2024.047832
Abstract The determination of source-side extracted heating parameters is of great significance to the economic operation of cogeneration systems. This paper investigated the coupling performance of a cogeneration heating and power system multidimensionally based on the operating characteristics of the cogeneration units, the hydraulic and thermodynamic characteristics of the heating network, and the energy loads. Taking a steam network supported by a gas-steam combined cycle cogeneration system as the research case, the interaction effect among the source-side prime movers, the heating networks, and the terminal demand thermal parameters were investigated based on the designed values, the plant testing data, and the… More >
Open Access
ARTICLE
Zhengrong Chen*, Mao Jiang, Chuanzhi Ai, Jianshu Wu, Xin Xie
Energy Engineering, DOI:10.32604/ee.2024.030222
Abstract Based on the actual data collected from the tight sandstone development zone, correlation analysis using the Spearman method was conducted to determine the main factors influencing the gas production rate of tight sandstone fracturing. An integrated model combining geological engineering and numerical simulation of fracture propagation and production was completed. Based on data analysis, the hydraulic fracture parameters were optimized to develop a differentiated fracturing treatment adjustment plan. The results indicate that the influence of geological and engineering factors in the X1 and X2 development zones in the study area differs significantly. Therefore, it is challenging to adopt a uniform… More >
Open Access
ARTICLE
Yuanjun Dai, Haonan Li, Baohua Li*
Energy Engineering, DOI:10.32604/ee.2024.047255
（This article belongs to the Special Issue: Wind Energy Development and Utilization)
Abstract This paper addresses the micro wind-hydrogen coupled system, aiming to improve the power tracking capability of micro wind farms, the regulation capability of hydrogen storage systems, and to mitigate the volatility of wind power generation. A predictive control strategy for the micro wind-hydrogen coupled system is proposed based on the ultra-short-term wind power prediction, the hydrogen storage state division interval, and the daily scheduled output of wind power generation. The control strategy maximizes the power tracking capability, the regulation capability of the hydrogen storage system, and the fluctuation of the joint output of the wind-hydrogen coupled system as the objective… More >
Open Access
ARTICLE
Huanan Yu, Hangyu Li, He Wang, Shiqiang Li*
Energy Engineering, DOI:10.32604/ee.2024.046936
（This article belongs to the Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract The escalating deployment of distributed power sources and random loads in DC distribution networks has amplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optimal configuration of measurement points, this paper presents an optimal configuration scheme for fault location measurement points in DC distribution networks based on an improved particle swarm optimization algorithm. Initially, a measurement point distribution optimization model is formulated, leveraging compressive sensing. The model aims to achieve the minimum number of measurement points while attaining the best compressive sensing reconstruction effect. It incorporates constraints from the compressive sensing algorithm and… More >
Open Access
ARTICLE
Yu Zhang, Sheng Tian*, Yongkang Zhang
Energy Engineering, DOI:10.32604/ee.2024.047247
Abstract Aiming at the traditional CUK equalizer can only perform energy equalization between adjacent batteries, if the two single batteries that need to be equalized are far away from each other, there will be the problem of longer energy transmission path and lower equalization efficiency, this paper optimizes the CUK equalizer and optimizes its peripheral selection circuit, which can support the equalization of single batteries at any two positions. The control strategy adopts the open-circuit voltage (OVC) of the battery and the state of charge (SOC) of the battery as the equalization variables, and selects the corresponding equalization variables according to… More >
Open Access
ARTICLE
Hanpeng Kou1, Tianlong Bu1, Leer Mao1, Yihong Jiao2,*, Chunming Liu2
Energy Engineering, DOI:10.32604/ee.2023.045358
（This article belongs to the Special Issue: Perspectives in Energy Transition: Utilizing the Green and Clean Energy Resources)
Abstract In order to play a positive role of decentralised wind power on-grid for voltage stability improvement and loss
reduction of distribution network, a multi-objective two-stage decentralised wind power planning method is
proposed in the paper, which takes into account the network loss correction for the extreme cold region. Firstly, an
electro-thermal model is introduced to reflect the effect of temperature on conductor resistance and to correct the
results of active network loss calculation; secondly, a two-stage multi-objective two-stage decentralised wind power
siting and capacity allocation and reactive voltage optimisation control model is constructed to take account of the
network loss… More >
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