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 this 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
ARTICLE
Yingli Zhu1,*, Jiachi Xie1, Mingwei Zhu1, Jun Zhang2, Miaomiao Li3
Energy Engineering, DOI:10.32604/ee.2024.041205
Abstract The open ratio of a current collector has a great impact on direct methanol fuel cell (DMFC) performance. Although
a number of studies have investigated the influence of the open ratio of DMFC current collectors, far too little
attention has been given to how geometry (including the shape and feature size of the flow field) affects a current
collector with an equal open ratio. In this paper, perforated and parallel current collectors with an equal open ratio
of 50% and different feature sizes are designed, and the corresponding experimental results are shown to explain the
geometry effects on the output… 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 this 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
Yu Zhang*, Lianmin Li, Zhongxiang Liu, Yuhu Wu
Energy Engineering, DOI:10.32604/ee.2024.046141
Abstract With the development of renewable energy technologies such as photovoltaics and wind power, it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through the deployment of energy storage. To solve the problem of the interests of different subjects in the operation of the energy storage power stations (ESS) and the integrated energy multi-microgrid alliance (IEMA), this paper proposes the optimization operation method of the energy storage power station and the IEMA based on the Stackelberg game. In the upper layer, ESS optimizes charging and discharging decisions through a dynamic pricing mechanism.… More >
Open Access
ARTICLE
Bin Chen1, Ziyang Li1, Shipeng Li1, Qingzhou Zhao1, Xingdou Liu2,*
Energy Engineering, DOI:10.32604/ee.2024.046374
Abstract To reduce carbon emissions, clean energy is being integrated into the power system. Wind power is connected to the grid in a distributed form, but its high variability poses a challenge to grid stability. This article combines wind turbine monitoring data with numerical weather prediction (NWP) data to create a suitable wind power prediction framework for distributed grids. First, high-precision NWP of the turbine range is achieved using weather research and forecasting models (WRF), and Kriging interpolation locates predicted meteorological data at the turbine site. Then, a preliminary predicted power series is obtained based on the fan’s wind speed-power conversion… 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
Yingkai Dong1,2, Chaohe Chen2,*, Guangyan Jia2, Lidai Wang3, Jian Bai1
Energy Engineering, DOI:10.32604/ee.2024.046432
(This article belongs to this Special Issue: Hydraulic Fracturing Theory and Application for Geo-energy Development)
Abstract This study investigates the heat dissipation mechanism of the insulation layer and other plane insulation layers in the polar drilling rig system. Combining the basic theory of heat transfer with the environmental requirements of polar drilling operations and the characteristics of polar drilling processes, we analyze the factors that affect the insulation effect of the drilling rig system. These factors include the thermal conductivity of the insulation material, the thickness of the insulation layer, ambient temperature, and wind speed. We optimize the thermal insulation material of the polar drilling rig system using a steady-state method to measure solid thermal conductivity.… 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 this 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 this 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 this 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 this 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
Yang Li1,2, Jianjun Zhao2, Xiaolong Yang2, He Wang1,*, Yuyan Wang1
Energy Engineering, DOI:10.32604/ee.2024.046784
Abstract Distributed photovoltaic (PV) is one of the important power sources for building a new power system with new
energy as the main body. The rapid development of distributed PV has brought new challenges to the operation
of distribution networks. In order to improve the absorption ability of large-scale distributed PV access to the
distribution network, the AC/DC hybrid distribution network is constructed based on flexible interconnection
technology, and a coordinated scheduling strategy model of hydrogen energy storage (HS) and distributed PV is
established. Firstly, the mathematical model of distributed PV and HS system is established, and a comprehensive
energy storage… More >
Open Access
ARTICLE
Dong Pan1, Xu Gui1, Jiayin Xu1, Yuming Shen1, Haoran Xu2, Yinghao Ma2,*
Energy Engineering, DOI:10.32604/ee.2024.046464
Abstract With the increasing urgency of the carbon emission reduction task, the generation expansion planning process needs to add carbon emission risk constraints, in addition to considering the level of power adequacy. However, methods for quantifying and assessing carbon emissions and operational risks are lacking. It results in excessive carbon emissions and frequent load-shedding on some days, although meeting annual carbon emission reduction targets. First, in response to the above problems, carbon emission and power balance risk assessment indicators and assessment methods, were proposed to quantify electricity abundance and carbon emission risk level of power planning scenarios, considering power supply regulation… More >
Open Access
ARTICLE
Wenlu Ji*, Teng Tu, Nan Ma
Energy Engineering, DOI:10.32604/ee.2024.046112
Abstract To improve the resilience of a distribution system against extreme weather, a fuel-based distributed generator (DG) allocation model is proposed in this study. In this model, the DGs are placed at the planning stage. When an extreme event occurs, the controllable generators form temporary microgrids (MGs) to restore the load maximally. Simultaneously, a demand response program (DRP) mitigates the imbalance between the power supply and demand during extreme events. To cope with the fault uncertainty, a robust optimization (RO) method is applied to reduce the long-term investment and short-term operation costs. The optimization is formulated as a tri-level defender-attacker-defender (DAD)… More >
Open Access
ARTICLE
Lingjie Zhao, Cong Li*
Energy Engineering, DOI:10.32604/ee.2024.046918
Abstract The Miller cycle is a program that effectively reduces NOx emissions from marine diesel engines by lowering the
maximum combustion temperature in the cylinder, thereby reducing NOx emissions. To effectively investigate the
impact of Miller cycle optimum combustion performance and emission capability under high load conditions, this
study will perform a one-dimensional simulation of the performance of a marine diesel engine, as well as a threedimensional simulation of the combustion in the cylinder. A 6-cylinder four-stroke single-stage supercharged diesel
engine is taken as the research object. The chassis dynamometer and other related equipment are used to build
the test system,… More >
Open Access
ARTICLE
Chenglian Ma1, Rui Han1, Zhao An2,*, Tianyu Hu2, Meizhu Jin2
Energy Engineering, DOI:10.32604/ee.2024.046644
Abstract Precise forecasting of solar power is crucial for the development of sustainable energy systems. Contemporary
forecasting approaches often fail to adequately consider the crucial role of weather factors in photovoltaic (PV)
power generation and encounter issues such as gradient explosion or disappearance when dealing with extensive
time-series data. To overcome these challenges, this research presents a cutting-edge, multi-stage forecasting
method called D-Informer. This method skillfully merges the differential transformation algorithm with the
Informer model, leveraging a detailed array of meteorological variables and historical PV power generation records.
The D-Informer model exhibits remarkable superiority over competing models across multiple performance
metrics,… More >
Open Access
ARTICLE
Xiang Lin1,*, Jian Fang1, Ming Zhang1, Kuang Yin1, Yan Tian1, Yingfei Guo2, Qianggang Wang2
Energy Engineering, DOI:10.32604/ee.2024.046861
Abstract Efforts to protect electric power systems from faults have commonly relied on the use of ultra-high frequency (UHF) antennas for detecting partial discharge (PD) as a common precursor to faults. However, the effectiveness of existing UHF antennas suffers from a number of challenges such as limited bandwidth, relatively large physical size, and low detection sensitivity. The present study addresses these issues by proposing a compact microstrip patch antenna with fixed dimensions of 100 mm × 100 mm × 1.6 mm. The results of computations yield an optimized antenna design consisting of 2nd-order Hilbert fractal units positioned within a four-layer serpentine… More >
Open Access
ARTICLE
Lifeng Li1, Zaimin Yang1, Xiongping Yang1, Jiaming Li2, Qianyufan Zhou3,*, Ping Yang3
Energy Engineering, DOI:10.32604/ee.2023.046447
Abstract As the global demand for renewable energy grows, solar energy is gaining attention as a clean, sustainable energy source. Accurate assessment of solar energy resources is crucial for the siting and design of photovoltaic power plants. This study proposes an integrated deep learning-based photovoltaic resource assessment method. Ensemble learning and deep learning methods are fused for photovoltaic resource assessment for the first time. The proposed method combines the random forest, gated recurrent unit, and long short-term memory to effectively improve the accuracy and reliability of photovoltaic resource assessment. The proposed method has strong adaptability and high accuracy even in the… More >
Open Access
ARTICLE
Aimin Gao1, Xiaobo Cui2,*, Guoqiang Yu1, Jianjun Shu1, Tianhai Zhang1
Energy Engineering, DOI:10.32604/ee.2023.045805
Abstract Gas turbines play core roles in clean energy supply and the construction of comprehensive energy systems. The control performance of primary frequency modulation of gas turbines has a great impact on the frequency control of the power grid. However, there are some control difficulties in the primary frequency modulation control of gas turbines, such as the coupling effect of the fuel control loop and speed control loop, slow tracking speed, and so on. To relieve the abovementioned difficulties, a control strategy based on the desired dynamic equation proportional integral (DDE-PI) is proposed in this paper. Based on the parameter stability… 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 this 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 >