Global Energy Interconnection最新文献_第8页

Localization method of subsynchronous oscillation source based on high-resolution time-frequency distribution image and CNN 基于高分辨率时频分布图像和 CNN 的次同步振荡源定位方法

Global Energy Interconnection Pub Date : 2024-02-01 DOI: 10.1016/j.gloei.2024.01.001

Hui Liu , Yundan Cheng , Yanhui Xu , Guanqun Sun , Rusi Chen , Xiaodong Yu

{"title":"Localization method of subsynchronous oscillation source based on high-resolution time-frequency distribution image and CNN","authors":"Hui Liu , Yundan Cheng , Yanhui Xu , Guanqun Sun , Rusi Chen , Xiaodong Yu","doi":"10.1016/j.gloei.2024.01.001","DOIUrl":"https://doi.org/10.1016/j.gloei.2024.01.001","url":null,"abstract":"<div><p>The penetration of new energy sources such as wind power is increasing, which consequently increases the occurrence rate of subsynchronous oscillation events. However, existing subsynchronous oscillation source-identification methods primarily analyze fixed-mode oscillations and rarely consider time-varying features, such as frequency drift, caused by the random volatility of wind farms when oscillations occur. This paper proposes a subsynchronous oscillation source-localization method that involves an enhanced short-time Fourier transform and a convolutional neural network (CNN). First, an enhanced STFT is performed to secure high-resolution time-frequency distribution (TFD) images from the measured data of the generation unit ports. Next, these TFD images are amalgamated to form a subsynchronous oscillation feature map that serves as input to the CNN to train the localization model. Ultimately, the trained CNN model realizes the online localization of subsynchronous oscillation sources. The effectiveness and accuracy of the proposed method are validated via multimachine system models simulating forced and natural oscillation events using the Power Systems Computer Aided Design platform. Test results show that the proposed method can localize subsynchronous oscillation sources online while considering unpredictable fluctuations in wind farms, thus providing a foundation for oscillation suppression in practical engineering scenarios.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 1","pages":"Pages 1-13"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S209651172400001X/pdf?md5=ae0a7565c544ae4a3e3bc81ab74cb6b8&pid=1-s2.0-S209651172400001X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140030636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-source heterogeneous data access management framework and key technologies for electric power Internet of Things 电力物联网多源异构数据访问管理框架及关键技术

Global Energy Interconnection Pub Date : 2024-02-01 DOI: 10.1016/j.gloei.2024.01.009

Pengtian Guo, Kai Xiao, Xiaohui Wang, Daoxing Li

{"title":"Multi-source heterogeneous data access management framework and key technologies for electric power Internet of Things","authors":"Pengtian Guo, Kai Xiao, Xiaohui Wang, Daoxing Li","doi":"10.1016/j.gloei.2024.01.009","DOIUrl":"https://doi.org/10.1016/j.gloei.2024.01.009","url":null,"abstract":"<div><p>The power Internet of Things (IoT) is a significant trend in technology and a requirement for national strategic development. With the deepening digital transformation of the power grid, China’s power system has initially built a power IoT architecture comprising a perception, network, and platform application layer. However, owing to the structural complexity of the power system, the construction of the power IoT continues to face problems such as complex access management of massive heterogeneous equipment, diverse IoT protocol access methods, high concurrency of network communications, and weak data security protection. To address these issues, this study optimizes the existing architecture of the power IoT and designs an integrated management framework for the access of multi-source heterogeneous data in the power IoT, comprising cloud, pipe, edge, and terminal parts. It further reviews and analyzes the key technologies involved in the power IoT, such as the unified management of the physical model, high concurrent access, multi-protocol access, multi-source heterogeneous data storage management, and data security control, to provide a more flexible, efficient, secure, and easy-to-use solution for multi-source heterogeneous data access in the power IoT.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 1","pages":"Pages 94-105"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096511724000094/pdf?md5=8fdcf6a5d5f2cfba8050fa7e046d688b&pid=1-s2.0-S2096511724000094-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140030632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal dispatching strategy for residential demand response considering load participation 考虑负载参与的住宅需求响应优化调度策略

Global Energy Interconnection Pub Date : 2024-02-01 DOI: 10.1016/j.gloei.2024.01.004

Xiaoyu Zhou, Xiaofeng Liu, Huai Liu, Zhenya Ji, Feng Li

{"title":"Optimal dispatching strategy for residential demand response considering load participation","authors":"Xiaoyu Zhou, Xiaofeng Liu, Huai Liu, Zhenya Ji, Feng Li","doi":"10.1016/j.gloei.2024.01.004","DOIUrl":"https://doi.org/10.1016/j.gloei.2024.01.004","url":null,"abstract":"<div><p>To facilitate the coordinated and large-scale participation of residential flexible loads in demand response (DR), a load aggregator (LA) can integrate these loads for scheduling. In this study, a residential DR optimization scheduling strategy was formulated considering the participation of flexible loads in DR. First, based on the operational characteristics of flexible loads such as electric vehicles, air conditioners, and dishwashers, their DR participation, the base to calculate the compensation price to users, was determined by considering these loads as virtual energy storage. It was quantified based on the state of virtual energy storage during each time slot. Second, flexible loads were clustered using the K-means algorithm, considering the typical operational and behavioral characteristics as the cluster centroid. Finally, the LA scheduling strategy was implemented by introducing a DR mechanism based on the directrix load. The simulation results demonstrate that the proposed DR approach can effectively reduce peak loads and fill valleys, thereby improving the load management performance.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 1","pages":"Pages 38-47"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096511724000045/pdf?md5=981fff84d609004807e0ec4801ee7ae9&pid=1-s2.0-S2096511724000045-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140030634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 digital twin model-based approach to cost optimization of residential community microgrids 基于数字孪生模型的住宅社区微电网成本优化方法

Global Energy Interconnection Pub Date : 2024-02-01 DOI: 10.1016/j.gloei.2024.01.008

Mariem Dellaly , Sondes Skander-Mustapha , Ilhem Slama-Belkhodja

{"title":"A digital twin model-based approach to cost optimization of residential community microgrids","authors":"Mariem Dellaly , Sondes Skander-Mustapha , Ilhem Slama-Belkhodja","doi":"10.1016/j.gloei.2024.01.008","DOIUrl":"https://doi.org/10.1016/j.gloei.2024.01.008","url":null,"abstract":"<div><p>This paper presents a peer-to-peer community cost optimization approach based on a single-prosumer energy management system. Its objective is to optimize energy costs for prosumers in the community by enhancing the consumption efficiency. This study was conducted along two main axes. The first axis focuses on designing a digital twin for a residential community microgrid platform. This phase involves data collection, cleaning, exploration, and interpretation. Moreover, it includes replicating the functionality of the real platform and validating the results. The second axis involves the development of a novel approach that incorporates two distinct prosumer behaviors within the same community microgrid, while maintaining the concept of peer-to-peer energy trading. Prosumers without storage utilize their individual PV systems to fulfill their energy requirements and inject excess energy into a local microgrid. Meanwhile, a single prosumer with a storage system actively engages in energy exchange to maximize the community’s profit. This is achieved by optimizing battery usage using a cost optimization solution. The proposed solution is validated using the developed digital twin.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 1","pages":"Pages 82-93"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096511724000082/pdf?md5=85d1e7789f53b3b200c68f62934fef27&pid=1-s2.0-S2096511724000082-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140030631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Double-ring high-frequency common-mode switching oscillation current sensor for inverter-fed machine winding insulation monitoring 用于逆变器供电机器绕组绝缘监测的双环高频共模开关振荡电流传感器

Global Energy Interconnection Pub Date : 2024-02-01 DOI: 10.1016/j.gloei.2024.01.010

Lingqing Pan , Xizhou Du , Xing Lei , Ting Ye , Dawei Xiang , Hao Li

{"title":"Double-ring high-frequency common-mode switching oscillation current sensor for inverter-fed machine winding insulation monitoring","authors":"Lingqing Pan , Xizhou Du , Xing Lei , Ting Ye , Dawei Xiang , Hao Li","doi":"10.1016/j.gloei.2024.01.010","DOIUrl":"https://doi.org/10.1016/j.gloei.2024.01.010","url":null,"abstract":"<div><p>Insulation failure significantly contributes to the unpredictable shutdown of power equipment. Compared to the partial discharge and high-frequency (HF) injection methods, the HF common-mode (CM) leakage current method offers a non-intrusive and highly sensitive alternative. However, the detection of HF CM currents is susceptible to interference from differential-mode (DM) currents, which exhibit high-amplitude and multifrequency components during normal operation. To address this challenge, this paper proposes a double-ring current sensor based on the principle of magnetic shielding for inverter-fed machine winding insulation monitoring. The inner ring harnesses the magnetic aggregation effect to isolate the DM current magnetic field, whereas the outer ring serves as the magnetic core of the Rogowski current sensor, enabling HF CM current monitoring. First, the magnetic field distributions of the CM and DM currents were analyzed. Then, a correlation between the sensor parameters and signal-to-noise ratio of the target HF CM current was established. Finally, an experimental study was conducted on a 3-kW PMSM for verification. The results indicate that the proposed double-ring HF CM sensor can effectively mitigate DM current interference. Compared to a single-ring sensor, a reduction of approximately 40% in the DM component was achieved, which significantly enhanced the precision of online insulation monitoring.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 1","pages":"Pages 106-116"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096511724000100/pdf?md5=c161af3a28e319f53181560b05335bb0&pid=1-s2.0-S2096511724000100-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140030633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal scheduling of a township integrated-energy system using the adjustable heat-electricity ratio model 利用可调热电比模型优化乡镇综合能源系统调度

Global Energy Interconnection Pub Date : 2024-02-01 DOI: 10.1016/j.gloei.2024.01.005

Quan Chen , Jingyi Wang , Min Cang , Xiaomeng Zhai , Xi Cheng , Shuang Wu , Dongwei Li

{"title":"Optimal scheduling of a township integrated-energy system using the adjustable heat-electricity ratio model","authors":"Quan Chen , Jingyi Wang , Min Cang , Xiaomeng Zhai , Xi Cheng , Shuang Wu , Dongwei Li","doi":"10.1016/j.gloei.2024.01.005","DOIUrl":"https://doi.org/10.1016/j.gloei.2024.01.005","url":null,"abstract":"<div><p>With the expansion and implementation of rural revitalization strategies, there is a constant need for new energy sources for the construction of new townships. Consequently, integrated energy systems with the interconnection and interaction of multiple energy sources are developing rapidly. Biomass energy, a renewable green energy source with low pollution and wide distribution, has significant application potential in integrated energy systems. Considering the application of biomass energy in townships, this study established an integrated biomass energy system and proposed a model to optimize its operation. Lowest economic cost and highest clean energy utilization rate were considered as the objective functions. In addition, a plan was suggested to adjust the heat-electricity ratio based on the characteristics of the combined heat and power of the biomass. Finally, a simulation analysis conducted for a town in China was discussed, demonstrating that the construction of a township integrated-energy system and the use of biomass can significantly reduce operating costs and improve the energy utilization rate. Moreover, by adjusting the heat-electricity ratio, the economic cost was further reduced by 6.70%, whereas the clean energy utilization rate was increased by 5.14%.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 1","pages":"Pages 48-60"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096511724000057/pdf?md5=22e78f1688f766137a5e580aeaf2096f&pid=1-s2.0-S2096511724000057-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140030628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stochastic programming based coordinated expansion planning of generation, transmission, demand side resources, and energy storage considering the DC transmission system 考虑到直流输电系统，基于随机编程的发电、输电、需求侧资源和储能协调扩展规划

Global Energy Interconnection Pub Date : 2024-02-01 DOI: 10.1016/j.gloei.2024.01.003

Liang Lu , Mingkui Wei , Yuxuan Tao , Qing Wang , Yuxiao Yang , Chuan He , Haonan Zhang

{"title":"Stochastic programming based coordinated expansion planning of generation, transmission, demand side resources, and energy storage considering the DC transmission system","authors":"Liang Lu , Mingkui Wei , Yuxuan Tao , Qing Wang , Yuxiao Yang , Chuan He , Haonan Zhang","doi":"10.1016/j.gloei.2024.01.003","DOIUrl":"https://doi.org/10.1016/j.gloei.2024.01.003","url":null,"abstract":"<div><p>With the increasing penetration of wind and solar energies, the accompanying uncertainty that propagates in the system places higher requirements on the expansion planning of power systems. A source-grid-load-storage coordinated expansion planning model based on stochastic programming was proposed to suppress the impact of wind and solar energy fluctuations. Multiple types of system components, including demand response service entities, converter stations, DC transmission systems, cascade hydropower stations, and other traditional components, have been extensively modeled. Moreover, energy storage systems are considered to improve the accommodation level of renewable energy and alleviate the influence of intermittence. Demand-response service entities from the load side are used to reduce and move the demand during peak load periods. The uncertainties in wind, solar energy, and loads were simulated using stochastic programming. Finally, the effectiveness of the proposed model is verified through numerical simulations.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 1","pages":"Pages 25-37"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096511724000033/pdf?md5=88978800c4814a01506fa2152c3b8cea&pid=1-s2.0-S2096511724000033-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140030635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated strategy for real-time wind power fluctuation mitigation and energy storage system control 实时风电波动缓解与储能系统控制的综合策略

Global Energy Interconnection Pub Date : 2024-02-01 DOI: 10.1016/j.gloei.2024.01.007

Yu Zhang, Yongkang Zhang, Tiezhou Wu

{"title":"Integrated strategy for real-time wind power fluctuation mitigation and energy storage system control","authors":"Yu Zhang, Yongkang Zhang, Tiezhou Wu","doi":"10.1016/j.gloei.2024.01.007","DOIUrl":"https://doi.org/10.1016/j.gloei.2024.01.007","url":null,"abstract":"<div><p>To address the impact of wind-power fluctuations on the stability of power systems, we propose a comprehensive approach that integrates multiple strategies and methods to enhance the efficiency and reliability of a system. First, we employ a strategy that restricts long- and short-term power output deviations to smoothen wind power fluctuations in real time. Second, we adopt the sliding window instantaneous complete ensemble empirical mode decomposition with adaptive noise (SW-ICEEMDAN) strategy to achieve real-time decomposition of the energy storage power, facilitating internal power distribution within the hybrid energy storage system. Finally, we introduce a rule-based multi-fuzzy control strategy for the secondary adjustment of the initial power allocation commands for different energy storage components. Through simulation validation, we demonstrate that the proposed comprehensive control strategy can smoothen wind power fluctuations in real time and decompose energy storage power. Compared with traditional empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) decomposition strategies, the configuration of the energy storage system under the SW-ICEEMDAN control strategy is more optimal. Additionally, the state-of-charge of energy storage components fluctuates within a reasonable range, enhancing the stability of the power system and ensuring the secure operation of the energy storage system.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 1","pages":"Pages 71-81"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096511724000070/pdf?md5=3f1c2913fd5d06bbadcb3da0fa6fb329&pid=1-s2.0-S2096511724000070-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140030630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of four machine-learning methods to predict short-horizon wind energy 应用四种机器学习方法预测短视距风能

Global Energy Interconnection Pub Date : 2023-12-01 DOI: 10.1016/j.gloei.2023.11.006

Doha Bouabdallaoui , Touria Haidi , Faissal Elmariami , Mounir Derri , El Mehdi Mellouli

{"title":"Application of four machine-learning methods to predict short-horizon wind energy","authors":"Doha Bouabdallaoui , Touria Haidi , Faissal Elmariami , Mounir Derri , El Mehdi Mellouli","doi":"10.1016/j.gloei.2023.11.006","DOIUrl":"https://doi.org/10.1016/j.gloei.2023.11.006","url":null,"abstract":"<div><p>Renewable energy has garnered attention due to the need for sustainable energy sources. Wind power has emerged as an alternative that has contributed to the transition towards cleaner energy. As the importance of wind energy grows, it can be crucial to provide forecasts that optimize its performance potential. Artificial intelligence (AI) methods have risen in prominence due to how well they can handle complicated systems while enhancing the accuracy of prediction. This study explored the area of AI to predict wind-energy production at a wind farm in Yalova, Turkey, using four different AI approaches: support vector machines (SVMs), decision trees, adaptive neuro-fuzzy inference systems (ANFIS) and artificial neural networks (ANNs). Wind speed and direction were considered as essential input parameters, with wind energy as the target parameter, and models are thoroughly evaluated using metrics such as the mean absolute percentage error (MAPE), coefficient of determination (R<sup>2</sup>), and mean absolute error (MAE). The findings accentuate the superior performance of the SVM, which delivered the lowest MAPE (2.42%), the highest R<sup>2</sup> (0.95), and the lowest MAE (71.21%) compared with actual values, while ANFIS was less effective in this context. The main aim of this comparative analysis was to rank the models to move to the next step in improving the least efficient methods by combining them with optimization algorithms, such as metaheuristic algorithms.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 6","pages":"Pages 726-737"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S209651172300097X/pdf?md5=e7eff1149739db5e398f99dc38e393b3&pid=1-s2.0-S209651172300097X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139038439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Attack-resilient control for converter-based DC microgrids 基于变流器的直流微电网的抗攻击控制

Global Energy Interconnection Pub Date : 2023-12-01 DOI: 10.1016/j.gloei.2023.11.008

Sen Tan , Juan C. Vasquez , Josep M. Guerrero

{"title":"Attack-resilient control for converter-based DC microgrids","authors":"Sen Tan , Juan C. Vasquez , Josep M. Guerrero","doi":"10.1016/j.gloei.2023.11.008","DOIUrl":"https://doi.org/10.1016/j.gloei.2023.11.008","url":null,"abstract":"<div><p>In light of the growing integration of renewable energy sources in power systems, the adoption of DC microgrids has become increasingly popular, due to its simple structure, having no frequency, power factor concerns. However, the dependence of DC microgrids on cyber-networks also makes them susceptible to cyber-attacks. Potential cyber- attacks can disrupt power system facilities and result in significant economic and loss of life. To address this concern, this paper presents an attack-resilient control strategy for microgrids to ensure voltage regulation and power sharing with stable operation under cyber-attack on the actuators. This paper first formulates the cyber-security problem considering a distributed generation based microgrid using the converter model, after which an attack-resilient control is proposed to eliminate the actuator attack impact on the system. Steady state analysis and root locus validation illustrate the feasibility of the proposed method. The effectiveness of the proposed control scheme is demonstrated through simulation results.</p></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"6 6","pages":"Pages 751-757"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096511723000993/pdf?md5=9312ca49a8a1b3f3f97251f48f6ce6d3&pid=1-s2.0-S2096511723000993-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139038441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0