2023 International Conference on Future Energy Solutions (FES)最新文献_第5页

Cyber-Physical Design and Implementation of Service Restoration Framework for Islanded Power Systems 孤岛电力系统服务恢复框架的网络物理设计与实现

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183314

Chaudhry Talha Hassan, Tariq Jadoon

{"title":"Cyber-Physical Design and Implementation of Service Restoration Framework for Islanded Power Systems","authors":"Chaudhry Talha Hassan, Tariq Jadoon","doi":"10.1109/FES57669.2023.10183314","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183314","url":null,"abstract":"Cyber-physical energy systems with high penetration of distributed energy resources provide several grid support functions including black-start in islanded mode. In an inverter dominated power system, both grid-forming (GFM) and grid-following (GFL) inverters have a role to play in regulating system frequency/voltage and maintaining proportional power sharing through grid support functions. A self-sufficient power system can restore critical loads by forming microgrids (MGs) around black-start distributed generators (DGs). This work proposes a service restoration framework that adopts GFM inverters as black-start units and achieves load restoration in the context of dynamic MGs with automatic sectionalization and network reconfiguration. The proposed approach is structured as a two-layer framework consisting of an optimization and power systems simulation layer. Mathematical optimization models can only solve for the steady-state power equations. However, the associated dynamic transient response can cause instability in a weak power grid. Therefore, the optimization layer explicitly incorporates dynamic stability constraints developed from the power systems simulation layer. An optimal network reconfiguration sequence and power reference commands for DGs are generated during the restoration process. Moreover, a consensus based multi-agent distributed control is designed for coordination among GFM and GFL inverters. The approach is validated over a modified IEEE-123 node test feeder using real-time controller-in-the-loop simulation with OPAL-RT simulator.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134643903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Two-objective Approach for Electrical Vehicles Parking lot Participation in Joint Energy, and Ancillary Services Markets 联合能源及辅助服务市场电动汽车停车场参与的双目标方法

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182804

Ahmad Nikpour, A. Nateghi, M. Shafie‐khah

引用次数: 0

Energy applications for network planning and congestion management: the SYNERGY project Greek demo 用于网络规划和拥塞管理的能源应用:SYNERGY项目希腊演示

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182637

A. Syrri, Andreas Gatos, Manos Zalokostas, Eleni Daridou, D. Stratogiannis, Dimitris Skipis, A. Dimeas, N. Hatziargyriou

{"title":"Energy applications for network planning and congestion management: the SYNERGY project Greek demo","authors":"A. Syrri, Andreas Gatos, Manos Zalokostas, Eleni Daridou, D. Stratogiannis, Dimitris Skipis, A. Dimeas, N. Hatziargyriou","doi":"10.1109/FES57669.2023.10182637","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10182637","url":null,"abstract":"The energy system as we know it today is evolving: Increased automation, which facilitates active network management, increased number of distributed energy resources installed into the grid, emerging trends such as demand response, microgrids, energy communities, flexible resources such as heat pumps or electric vehicles, all these shape current power networks and affect the operation and planning philosophy. Flexibility can be leveraged by aggregators to offer balancing and congestion management services to the power system. Then, existing infrastructure could be fully unlocked for normal operating conditions, avoiding or delaying reinforcement of the grid and at the same time allowing system operators to offer uninterrupted power delivery to end consumers at all times. In this context, two energy applications targeting distribution and transmission operators (DSOs and TSOs) are presented with the purpose to offer services and insights to their operational and planning strategies. The first application performs a medium-term assessment, utilizing probabilistic Monte Carlo power flow calculations to locate potential faults and their impact on reliability, and then planning solutions are proposed assuming flexible capacity is used. The second application offers short-term congestion management with flexibility procurement, utilizing generation and demand forecasts and power flow calculations, also proposing a prioritization scheme between DSOs and TSOs. The applications also offer a friendly user-interface, where the user can select actions to be taken and results to be visualized.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124093464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Business model innovation in the Finnish power electricity sector 芬兰电力部门的商业模式创新

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182564

Rodrigo Rabetino, Marko Kohtamäki, N. Rahman, Tuomas Huikkola

引用次数: 0

Advanced Classification of Failure-Related Patterns on Solar Photovoltaic Farms Through Multiview Photogrammetry Thermal Infrared Sensing by Drones and Deep Learning 基于无人机热红外传感和深度学习的太阳能光伏电站故障相关模式高级分类

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182940

Yahya Zefri, M. Aghaei, H. Hajji, G. Aniba, I. Sebari

{"title":"Advanced Classification of Failure-Related Patterns on Solar Photovoltaic Farms Through Multiview Photogrammetry Thermal Infrared Sensing by Drones and Deep Learning","authors":"Yahya Zefri, M. Aghaei, H. Hajji, G. Aniba, I. Sebari","doi":"10.1109/FES57669.2023.10182940","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10182940","url":null,"abstract":"Here, we propose an approach that relies on digital photogrammetry and deep learning to classify thermal infrared patterns sheltering potential failures within solar panels from aerial imagery collected by drones. We collect images from a solar plant using a rotary-wing drone equipped with an onboard thermal camera. The captured images are processed using a photogrammetric pipeline that stitches the images together producing a georeferenced thermal orthomosaic. The solar panels are digitized, extracted from the orthomosaic, labeled into 4 classes, augmented using transformations acting on their geometry and radiometry then utilized to constitute a dataset to train from scratch and validate a developed deep learning classifier. The latter consists of a convolutional neural network architecture comprising two core blocks: (1) a convolutional block that produces multi-level feature maps from the images, followed by (2) a multi-layer perceptron block that classifies the constructed feature maps according to the considered categories. The final developed model scores an F1-score of 98.2% on our validation sub-dataset, which confirms both its high performance and generalizability on additional data. The proposed approach elaborates an efficient, comprehensive and cost-effective framework to monitor solar farms through the use of drone-based thermal sensing, photogrammetry and deep learning, alongside addressing the drawbacks related to the use of classic techniques.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124533300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Twins: Shaping the Future of Energy Systems and Smart Cities through Cybersecurity, Efficiency, and Sustainability 数字孪生:通过网络安全、效率和可持续性塑造能源系统和智慧城市的未来

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182868

U. Cali, B. Dimd, Parisa Hajialigol, Amin Moazami, S. Gourisetti, G. Lobaccaro, Mohammadreza Aghaei

{"title":"Digital Twins: Shaping the Future of Energy Systems and Smart Cities through Cybersecurity, Efficiency, and Sustainability","authors":"U. Cali, B. Dimd, Parisa Hajialigol, Amin Moazami, S. Gourisetti, G. Lobaccaro, Mohammadreza Aghaei","doi":"10.1109/FES57669.2023.10182868","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10182868","url":null,"abstract":"Modern power systems are undergoing a rapid evolution toward digitization, facilitated by emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Blockchain Technology (BT), and Digital Twins (DT). DT is a promising enabling technology to transform many industries and society. DTs are sophisticated networks of linked systems to simulate the actual world in cyberspace as digital replicas. Such digital replication includes virtualizing a system’s components, operations, interactions, and software. Real-time data connections and information transfer let physical and digital systems coexist. Digital transformation in the energy sector improves technical, economic, and safety efficiency. Energy-related DT solutions in smart cities are intriguing and decision-support tools for stakeholders and decision-makers, but they need additional study and further technological advancements to be more efficient and usable. The article reviews the literature and practices of DT in energy systems in smart cities to provide new insights for future research trajectories. DTs can, among others, enhance cyber security, efficiency, sustainability, and reliability.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124025087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Production and Maintenance Scheduling for Total Cost and Machine Longevity Optimization 生产和维修计划的总成本和机器寿命优化

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183219

Bruno Mota, P. Faria, B. Canizes, Carlos Ramos

{"title":"Production and Maintenance Scheduling for Total Cost and Machine Longevity Optimization","authors":"Bruno Mota, P. Faria, B. Canizes, Carlos Ramos","doi":"10.1109/FES57669.2023.10183219","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183219","url":null,"abstract":"Production and maintenance scheduling for total cost-effective and machine longevity manufacturing is a key aspect in dealing with the ever-increasing energy prices, competitiveness, added maintenance costs, and environmental pressures that the manufacturing sector faces nowadays. This paper addresses these issues by proposing a novel intelligent production scheduling system for joint optimization of production and maintenance for overall cost minimization and machine longevity improvement. To achieve this, it is proposed a Genetic Algorithm (GA) for production and maintenance scheduling of flexible job shop manufacturing environments. The proposed GA takes into account volatile market energy prices, Renewable Energy Resources (RERs), surplus energy selling, maintenance activities, and constraints imposed on the production plan. A case study from the literature is used as a baseline scenario to validate the proposed scheduler. It uses real-production data and considers three unique machines with 275 tasks to be scheduled among them. Using the baseline scenario, it was possible to demonstrate the robustness of the proposed scheduler in reducing total costs, by taking advantage of the volatility of energy prices, as well as utilizing RERs to cover energy expenses or for selling excess energy. Furthermore, it highlights the ability to reduce the overload of single machines. Accordingly, it was possible to achieve cost reductions of up to 11.0% and improvements of 24.4% in machine longevity when compared to the baseline scenario.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129160589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Intelligent Lightning Hazard Warning System for a Wind Farm 风力发电场智能雷电预警系统

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183023

Hossein Foroozan, B. Franc, M. Vašak

引用次数: 0

Cooling System for Li-ion Battery of Pure Electric Vehicles 纯电动汽车锂离子电池冷却系统

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183213

Pankhuri Kaushik, Manjeet Singh, Amandeep Gill

{"title":"Cooling System for Li-ion Battery of Pure Electric Vehicles","authors":"Pankhuri Kaushik, Manjeet Singh, Amandeep Gill","doi":"10.1109/FES57669.2023.10183213","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183213","url":null,"abstract":"Experiencing saturation in IC engine technology and gradual evolution in a battery-operated domain, EVs conquer the automotive industries. All forms of Electric Vehicles can assist in improving fuel economy and reducing emissions. Electric Vehicles are considered the most environmentally friendly option for transportation in the future as compared to IC engines. The working, performance, and range of Electric vehicles depend on the efficiency of traction of battery packs. Lithium-ion batteries are considered the most preferred kind of electric vehicle battery because of their high efficiency, long cycle life, and specific energy (Wh/kg). To have a better range, there is a need of maintaining the efficiency and health of Battery packs which may impact due to several parameters. Temperature is the main parameter that needs to maintain at the highest priority to maintain the range of the vehicle. To enhance performance, safety, and efficiency under various operating states, the temperature of the traction battery pack must be kept within its optimal operating temperature range. For EVs, battery management plays a vital role in getting the optimal performance and life cycle of battery packs. In this paper a modified layout of thermal management of Lithium-ion battery packs for the pure electric vehicle has been discussed with the help of MATLAB simulation which helps to maintain the optimal temperature range in three states of battery i.e., Charging state, driving state, and discharging state.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133558759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Indoor thermal comfort analysis for developing energy-saving strategies in buildings 室内热舒适分析为制定建筑节能策略提供依据

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183297

P. Papadopoulos, I. Kyprianou, M. Shahid, S. Erba, F. Wurtz, B. Delinchant, P. Riederer, Mohammadreza Aghaei, S. Carlucci

{"title":"Indoor thermal comfort analysis for developing energy-saving strategies in buildings","authors":"P. Papadopoulos, I. Kyprianou, M. Shahid, S. Erba, F. Wurtz, B. Delinchant, P. Riederer, Mohammadreza Aghaei, S. Carlucci","doi":"10.1109/FES57669.2023.10183297","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183297","url":null,"abstract":"Humans spend most of their time indoors, whether in their place of residence or work, with large amounts of energy consumed to create comfortable living conditions. Buildings are, therefore, accountable for a considerable proportion of global energy demand; within them, heating, ventilation, and air-conditioning systems constitute major energy drains. Traditionally, these systems are controlled by conventional, mainly static set points, but research has shown that substantial energy savings can be achieved by applying adaptive ones. This work aims to showcase the lower energy consumption achievable when employing adaptive over static approaches, using empirical data from a non-residential living lab. Assessments of rational and adaptive thermal comfort indices over the energy used in HVAC systems are provided, and the energy-saving potential of adaptive thermal comfort models in the design of HVAC control algorithms is estimated. The findings of this work highlight that controlling indoor setpoint temperature according to the adaptive comfort model can achieve energy savings from 15% up to 33%, compared to the rational one, while providing a satisfactory thermal environment.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134186655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0