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Dual Porosity Simulation of Gravity Drainage Mechanism Induced by Geological Acid Gas Storage in Naturally Fractured Reservoirs 天然裂缝性储层地质酸性储气诱导重力排水机制的双重孔隙模拟
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-21 DOI: 10.1002/ese3.70094
Goran Shirzad, Mehdi Assareh
{"title":"Dual Porosity Simulation of Gravity Drainage Mechanism Induced by Geological Acid Gas Storage in Naturally Fractured Reservoirs","authors":"Goran Shirzad,&nbsp;Mehdi Assareh","doi":"10.1002/ese3.70094","DOIUrl":"10.1002/ese3.70094","url":null,"abstract":"<p>Acid gases, containing CO<sub>2</sub> and H<sub>2</sub>S, are by-products of gas sweetening. Geological sequestration of these gases in naturally fractured reservoirs (NFRs) is a practical method to reduce greenhouse gas emission. An industrially accepted approach to simulate fluid flow in NFRs is the dual-porosity method; however, this method needs multiple parameters' specifications. The main goal of this study is to develop a dual-porosity model with improved parameters that can be used for simulation of both hydrocarbon gas gravity drainage and acid gas injection in the gas-invaded zone of NFRs. To do so, a single-porosity model, as the reference model, is constructed for a single matrix block (SMB) with which the equivalent dual-porosity model'<i>s</i> (DP) parameters are determined and matched. Then, DP is improved by a dual-porosity vertical discrete (VD) model to consider gravity drainage. This was later enhanced by non-neighborhood connections (NNCs) to account for re-infiltration in stacked matrices, yielding comparable results to the reference CPU-intensive single-porosity simulation. A thorough sensitivity analysis is performed on acid gas injection in VD model. The results show that the most effective parameter is porosity. The permeability and NNC transmissibility only change the rate of acid gas storage and more acid gas is trapped as H<sub>2</sub>S content increases. Also, the heterogeneous distribution of porosity only influences the rate of storage when the mean porosity is constant, while permeability heterogeneity does not affect acid gas storage. The recovery factor is considerably increased to nearly 100% when the acid gas replaces hydrocarbon gas in fractured surrounding. About 7000 kmole of acid gas is stored in SMB over 4.5 years. Similar results are obtained for stacked matrices, and trapped gas is about 22,000 kmole, after 9 years.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"3151-3170"},"PeriodicalIF":3.4,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70094","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Investigating the Dynamic Behavior of Gabbro Specimens With Echelon Joints 具有梯队节理的辉长岩岩石动力学行为研究
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-21 DOI: 10.1002/ese3.70117
Lei Xue, Shihao Yuan, Kangqi Liu, Longfei Li, Kun Huang, Zhuan Li
{"title":"Investigating the Dynamic Behavior of Gabbro Specimens With Echelon Joints","authors":"Lei Xue,&nbsp;Shihao Yuan,&nbsp;Kangqi Liu,&nbsp;Longfei Li,&nbsp;Kun Huang,&nbsp;Zhuan Li","doi":"10.1002/ese3.70117","DOIUrl":"10.1002/ese3.70117","url":null,"abstract":"<p>To reveal the influence of dynamic load on the dynamic damage behavior of jointed rock masses, split Hopkinson pressure bar (SHPB) system was employed to test platy gabbro samples with joint angles of 15°, 30°, 45°, 65°, and 75° at an impact pressure of 0.1 MPa. It was found that the joint angle has a significant effect on the dynamic characteristics and fracture behaviors of the echelon gabbro samples. Samples with a joint angle of 15° required the least amount of fracture energy and was most prone to failure, while samples with a joint angle of 30° required the most amount of fracture energy and was difficult to fracture. Moreover, the joint angle controlled the damage mode of the specimen. Specimens with 15° and 30° joint angles corresponded to crack coalescence type I, where the main crack was a shear crack and was nearly straight. Specimens with 45° and 60° joint angles corresponded to crack coalescence type II, where the main crack was a shear crack, and a small number of tensile secondary cracks developed. Specimens with a joint angle of 75° corresponded to crack coalescence type III, where the main crack was a shear crack and a large number of tensile cracks developed.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 7","pages":"3620-3630"},"PeriodicalIF":3.4,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70117","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Thermodynamics and the Fuel Qualities of Produced Biodiesel From Nonedible Biomaterials: RStudio and Central Composite Design Approach 热力学和从不可食用生物材料生产的生物柴油的燃料质量:RStudio和中心复合设计方法
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-17 DOI: 10.1002/ese3.70102
Sunday C. Iweka, Jeremiah L. Chukwuneke, Emmanuel Chuka Chinwuko
{"title":"Thermodynamics and the Fuel Qualities of Produced Biodiesel From Nonedible Biomaterials: RStudio and Central Composite Design Approach","authors":"Sunday C. Iweka,&nbsp;Jeremiah L. Chukwuneke,&nbsp;Emmanuel Chuka Chinwuko","doi":"10.1002/ese3.70102","DOIUrl":"10.1002/ese3.70102","url":null,"abstract":"<p>A unique green catalyst was derived from novel powdered Uzere tallow seeds shell calcined at 700°C for 1 h in a muffle furnace. The catalytic activity of the Uzere acidified catalyst was due to a high proportion of sulphur trioxide, calcium oxide, and potassium oxide. The Ozoro <i>Thevetia peruviana</i> seed oil was produced via a Soxhlet instrument using acetone as solvent. The transesterification process was optimized with rotatable central composite design and RStudio, and both tools yielded the same maximum biodiesel output of 97.12 wt.%., at time 70 min, acidified-catalyst 3.5 wt.%, methanol: oil 7:1, and temperature at 65°C. Although both tools generated a similar <i>R</i><sup>2</sup> of 0.9989, RStudio generated a better <i>p</i>-value of &lt; 2.2e<sup>−16</sup> as against central composite design &lt; 0.001. In addition, RStudio generated more statistical values like kurtosis (2.46) and skewness (−0.112) which were within acceptable bounds. Furthermore, RStudio charts provided a better visual clue and demonstrated superior performance. An activation energy of 79.1 kJmol<sup>−1</sup> with an <i>R</i><sup>2</sup> of 97.75% was computed from kinetic approach while the thermodynamics approach produced an entropy of −0.0579 kJmol<sup>−1</sup>, enthalpy of 76.297 kJmol<sup>−1</sup>, and Gibbs free energy of 95.75, 95.87, 95.98 kJmol<sup>−1</sup>, at 336, 338, and 340 K, respectively. The results were within accepted bounds. Additionally, the physiochemical and fuel qualities of the produced biodiesel agree with the recommended range. Thus, this produced eco-friendly biodiesel can be used to power diesel engines without any issues for the betterment of the world at large.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"3276-3295"},"PeriodicalIF":3.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correction to “Review: Numerical Simulation Approaches of Crystalline-Si Photovoltaics” 对“综述:晶体硅光伏的数值模拟方法”的更正
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-17 DOI: 10.1002/ese3.70075
{"title":"Correction to “Review: Numerical Simulation Approaches of Crystalline-Si Photovoltaics”","authors":"","doi":"10.1002/ese3.70075","DOIUrl":"10.1002/ese3.70075","url":null,"abstract":"<p>T. Sugiura and N. Nakano, “Review: Numerical Simulation Approaches of Crystalline-Si Photovoltaics,” <i>Energy Science &amp; Engineering</i> 11 (2023): 3888–3906.</p><p>We apologize for this error.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70075","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A High-Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability 太阳能直流微电网的高性能MPPT解决方案:利用河马算法提高效率和稳定性
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-17 DOI: 10.1002/ese3.70052
Debabrata Mazumdar, Taha Selim Ustun, Chiranjit Sain, Ahmet Onen
{"title":"A High-Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability","authors":"Debabrata Mazumdar,&nbsp;Taha Selim Ustun,&nbsp;Chiranjit Sain,&nbsp;Ahmet Onen","doi":"10.1002/ese3.70052","DOIUrl":"10.1002/ese3.70052","url":null,"abstract":"<p>The rapid growth of modern civilization has led to increased global warming and climate challenges. Variations in atmospheric temperature, sunlight intensity and other factors significantly impact the performance of photovoltaic (PV) systems. To maximize energy production, these systems must operate efficiently at their Maximum Power Point under varying weather conditions. This study introduces a new Hippopotamus Algorithm (HA) designed for Maximum Power Point Tracking (MPPT) in solar PV systems connected to direct current (DC) microgrids. Performance of HA's is compared with three established optimization algorithms: Grey Wolf Optimization, Cuckoo Search Algorithm and Particle-Swarm Optimization across different operating scenarios and partial shading circumstances. Obtained results demonstrate that the HA not only achieves higher power output but also responds faster than existing methods. In each of the partial shading conditions, the efficiency range of proposed methods are 82.16% and 89.92%, respectively, and in the temperature variation case the efficiency is 84.67% which is far better than the other three approaches. As per stability concerns, the proposed HA-based MPPT approach attains minimal settling time and gives steady-state stable output power to its load in both partial shading, temperature fluctuation and steady-state conditions. A comparative analysis is also shown in tabular form in this article. Additionally, it effectively manages bidirectional power flow in both stable and fluctuating weather conditions. This approach ensures a resilient and sustainable architecture for low power generating situations when a DC microgrid is integrated with an HA-based MPPT system.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 5","pages":"2530-2545"},"PeriodicalIF":3.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data 基于时间序列数据的输电线路故障分类深度学习模型性能比较
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-17 DOI: 10.1002/ese3.70033
Nadeem Ahmed Tunio, Mohsin Ali Tunio, Muhammad Amir Raza, Muhammad Faheem, Ashfaque Ahmed Hashmani, Rumaisa Nadeem
{"title":"Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data","authors":"Nadeem Ahmed Tunio,&nbsp;Mohsin Ali Tunio,&nbsp;Muhammad Amir Raza,&nbsp;Muhammad Faheem,&nbsp;Ashfaque Ahmed Hashmani,&nbsp;Rumaisa Nadeem","doi":"10.1002/ese3.70033","DOIUrl":"10.1002/ese3.70033","url":null,"abstract":"<p>Deep learning has become a vital tool for addressing complex challenges in power systems, particularly fault detection and classification in transmission lines. This study presents a comparative analysis of three advanced time-series models like temporal convolutional networks (TCN), bidirectional long short-term memory (BiLSTM), and gated recurrent units (GRU) for fault classification. Leveraging a comprehensive data set encompassing diverse fault scenarios like single-phase to ground fault (AG), double line to ground fault (ABG), three-phase fault (ABC) from both simulated and real transmission line data, the study provides a rigorous evaluation of these models’ performance under realistic conditions. The results demonstrate that TCN achieves a fault classification accuracy of 99.9%, significantly outperforming BiLSTM (92.31%) and GRU (95.27%), while also excelling in precision, recall, <i>F</i>1 score, and training efficiency. Additionally, this study incorporates feature extraction techniques like discrete wavelet transform (CWT) to establish new benchmarks for fault classification. The findings underscore TCN's robustness in handling the dynamic nature of transmission line signals and its practical potential for real-time applications, contributing to the development of more reliable and efficient power system fault classification systems.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 5","pages":"2330-2351"},"PeriodicalIF":3.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Chinese Financial Development and Carbon Emissions Relationship Study 中国金融发展与碳排放关系研究
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-17 DOI: 10.1002/ese3.70098
Ning Li, Yuhao Shen, Kai Ding
{"title":"Chinese Financial Development and Carbon Emissions Relationship Study","authors":"Ning Li,&nbsp;Yuhao Shen,&nbsp;Kai Ding","doi":"10.1002/ese3.70098","DOIUrl":"10.1002/ese3.70098","url":null,"abstract":"<p>At present, the global environment is not optimistic, and China is also facing severe challenges in carbon emissions (CE), but China actively formulates relevant policies and takes relevant measures and is gradually promoting the reduction of CE and the realization of green and low-carbon transformation. This study uses the Panel Smooth Transition Regression (PSTR) model, an advanced econometric analysis tool, to further explore the complex and dynamic interaction mechanism between China's financial growth and CE. Based on the research results, the following conclusions can be drawn: first, there is a nonlinear relationship between financial growth and CE, which shows that with the continuous advancement of financial development (FLD), its impact on the environment is not the same. Second, in terms of scale and structural effects, fiscal growth exacerbates CE, but by means of technological innovation, fiscal growth helps to reduce CE. Among the factors affecting CE, the impact of FLD is noteworthy, showing that the potential of fiscal development to reduce CE through technological progress has not been fully realized. Third, when evaluating financial growth, we used four evaluation indicators, and finally got different results. As can be seen from the indicators of financial value appreciation and scale, financial growth has an impact on CE, and the nature and magnitude of the impact are in a stable transition stage. However, the indicators closely related to financial efficiency and Foreign Direct investment (FDI) have a positive impact on the reduction of CE. In these cases, fiscal growth leads to an increase in CE, and the degree of this impact transitions smoothly over time.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"3204-3217"},"PeriodicalIF":3.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Coupling Stability and Multi-Frequency Transient Characteristics of a Variable Speed Pumped Storage Power Station Under Generating Mode 发电模式下变速抽水蓄能电站耦合稳定性及多频暂态特性
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-17 DOI: 10.1002/ese3.70104
Rui Cao, Wencheng Guo
{"title":"Coupling Stability and Multi-Frequency Transient Characteristics of a Variable Speed Pumped Storage Power Station Under Generating Mode","authors":"Rui Cao,&nbsp;Wencheng Guo","doi":"10.1002/ese3.70104","DOIUrl":"10.1002/ese3.70104","url":null,"abstract":"<p>Coupling stability and multi-frequency transient characteristics of variable speed pumped storage power station (VSPSPS) under generating mode are main topics of this paper. Firstly, the overall model of VSPSPS is established and the coupling stability analysis of VSPSPS is carried out. Then, multi-frequency transient characteristics of VSPSPS are revealed and the generation mechanism is clarified. Finally, the influence of active power regulation and speed regulation on stability and transient characteristics of VSPSPS is analyzed. The results show that coupling stability of VSPSPS can be characterized by a stable domain determined by the control parameters of the governor. Transient response processes of VSPSPS present multi-frequency characteristics with three frequencies. The low frequency is dominated by diversion pipeline and surge tank. The high frequency is dominated by pressure pipeline, pump-turbine and governor. The medium frequency is dominated by doubly-fed induction motor (DFIM) and frequency converter. Active power regulation has almost no influence on stability of VSPSPS. To suppress the influence of active power regulation on speed regulation, and realize the rapid and high-quality regulation of active power, it is suggested to select large control parameters of frequency converter. Large operating speed is beneficial to stability. Control parameters of the governor have little effect on active power regulation.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"3307-3327"},"PeriodicalIF":3.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Optimized Power Load Forecasting Algorithm Based on VMD-SMA-LSTM 基于VMD-SMA-LSTM的优化电力负荷预测算法
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-17 DOI: 10.1002/ese3.70100
Wei Liu, Fan Hua, Yongping Cui, Yangchao Xu, Han Liu
{"title":"An Optimized Power Load Forecasting Algorithm Based on VMD-SMA-LSTM","authors":"Wei Liu,&nbsp;Fan Hua,&nbsp;Yongping Cui,&nbsp;Yangchao Xu,&nbsp;Han Liu","doi":"10.1002/ese3.70100","DOIUrl":"10.1002/ese3.70100","url":null,"abstract":"<p>Accurate load forecasting can scientifically guide the optimal operation and scheduling of urban power grids. This study introduces an enhanced power load forecasting algorithm, integrating slime mould algorithm (SMA) and long short-time memory (LSTM) to effectively address the hyperparameter challenges associated with LSTM, while also applying variational modal decomposition (VMD) to load forecasting. In the data processing stage, the Bisecting Kmeans algorithm (Bi-Kmeans) is used to identify the outliers of the measured load data, then the random forest (RF) is used to correct them, which determines reasonable load data. In the data analysis stage, the processed load data undergoes VMD, yielding components with distinct central frequencies, and the components of different frequencies are determined according to their energy values. In the prediction stage, an optimized LSTM using SMA is proposed to predict different frequency components separately, and the prediction results of multiple components are inversely reconfigured to obtain the load prediction results. Case studies demonstrate that the proposed algorithm outperforms other power load forecasting methods in prediction accuracy.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"3243-3253"},"PeriodicalIF":3.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70100","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Grounding Grid Corrosion Diagnosis Based on Genetic K-Means Algorithm 基于遗传k均值算法的接地网腐蚀诊断研究
IF 3.4 3区 工程技术
Energy Science & Engineering Pub Date : 2025-04-17 DOI: 10.1002/ese3.70087
Longsheng Huang, Xianghui Xiao, Mingxian Huang, Zhenshan Zhang, Yunhao Song, Luchang Guan
{"title":"Research on Grounding Grid Corrosion Diagnosis Based on Genetic K-Means Algorithm","authors":"Longsheng Huang,&nbsp;Xianghui Xiao,&nbsp;Mingxian Huang,&nbsp;Zhenshan Zhang,&nbsp;Yunhao Song,&nbsp;Luchang Guan","doi":"10.1002/ese3.70087","DOIUrl":"10.1002/ese3.70087","url":null,"abstract":"<p>Grounding grid corrosion is one of the main reasons that affect the stable operation of electrical equipment in substations and endanger personal safety. After many years of operation, the grounding conductors will be eroded by soil. It may even cause major accidents and economic losses. Therefore, it is of great significance to diagnose the corrosion faults of the grounding grid and find out the corroded conductors. In this paper, the genetic K-means algorithm (GKA) is proposed to solve the mathematical model and judge the corrosion of grounding conductors. This algorithm combines GA's global searching ability and K-means's local searching ability, which improves the diagnosis result. In the simulation experiment, compared with the single GA's diagnosis, the diagnosis results of GKA were improved, and the number of misdiagnosed branches decreased by 66.7%. The simulation results show that the proposed algorithm takes less time to run, can eliminate the misdiagnosed branches commendably, and improve the accuracy of diagnosis. The proposed method provides a new idea to evaluate the corrosion degree of the grounding grid. The clustering algorithm is used to classify branches with similar corrosion degrees to achieve the purpose of corrosion diagnosis.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"3074-3087"},"PeriodicalIF":3.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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