2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)最新文献

{"title":"Monolithically 3D-Printed, Miniature Solenoids with Soft Magnetic Core for Compact Systems","authors":"J. Cañada, L. Velásquez-García","doi":"10.1109/CPEEE56777.2023.10217558","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217558","url":null,"abstract":"We report the design, fabrication, and characterization of the first monolithically 3D-printed, three-dimensional, three-material, cored inductors for use in compact electromagnetic systems. Additive manufacturing technologies can produce functional, freeform-compatible mechanical devices; however, the ability of additive manufacturing to create electronic components that could enable the monolithic fabrication of devices that integrate sensors and actuators is still unfulfilled. This study aims at advancing the state of the art through the demonstration of the first truly three-dimensional, monolithically 3D-printed, cored solenoids. The novel 3D-printed inductors are made via material extrusion using three PLA-based materials (dielectric, conductive, and soft magnetic). The devices attain Gauss-level magnetic fields while drawing tens-of-milliamps currents. The work is of great interest for fast and inexpensive fabrication of compact sensors, actuators, and power conversion systems, and for the integration of electronics with MEMS devices of intricate geometries.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115530558","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}

{"title":"Knowledge-Based Decision Approach for Energy Monitoring and Sustainable Production in Medium-Sized Industry","authors":"H. Smajic, Sonja Podjawerschek, Clemens Faller","doi":"10.1109/CPEEE56777.2023.10217600","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217600","url":null,"abstract":"The goal of the BMBF-funded project (project name WisE-Pro) in the supporting line FHprofUnt is the development and implementation of a holistic concept for knowledge-based decision making for sustainable production. BMBF is Federal Ministry of Education and Research in Germany. For the production company, this means using energy and production data to gain an understanding of the efficiency of production and thus find potential for increasing efficiency and, as a result, greater sustainability.One way to create new systems - manageable for medium-sized companies - is to develop new web-based services, as is another goal of the High-Tech Strategy [4]. With cloud-based software solutions and associated business models that make software more profitable for small companies, combined with consulting services from experts, SMEs (small and medium-sized enterprises) can use the knowledge and experience of experts and continue to focus on their core business. The companies involved in this project see a competitive advantage in being able to optimize their production from a holistic point of view or to support their customers in this effort.This support can be provided by consulting services from energy suppliers. In times of the energy turnaround, the Energy Services Act obliges energy suppliers to inform their customers about energy efficiency measures [5]. Many energy suppliers see this as an opportunity to transform themselves into partners for energy. The Velbert region is characterized by a relatively high density of small and medium-sized metalworking companies that still maintain personal contacts with their energy suppliers. The municipal energy suppliers of Velbert and Heiligenhaus are showing interest in new business models and would like to remain a long-term partner for medium-sized companies in the region. The technical core of the development work is a system for energy data collection in combination with production data from the automated plants in order to send it via a CloudEdge controller to the cloud for evaluation. There, the data is available for use by the company, but also by consultants who provide targeted support for SMEs in saving energy, as well as in anonymized form by suppliers who will use it to optimize energy planning in the future. The long-term goal of the project is, on the one hand, to support SMEs in the local region and, on the other hand, to gain knowledge about digital transformation for the suppliers and the university.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124024807","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}

{"title":"Power to Gas-Hydrogen Industry Development Based on Floating PV in Indonesia","authors":"Heri Dwi Dwi Sulistyo, E. Setiawan, W. Purwanto, Dhimas Kaharudin","doi":"10.1109/CPEEE56777.2023.10217578","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217578","url":null,"abstract":"Oversupply of electrical energy is a big problem faced by PLN today. One alternative solution for solving this problem is the opportunity to convert Power to Gas. An example of a case study in this paper is Hydrogen gas. In addition to the market demand that continues to increase from year to year, both on a local and global scale. Hydrogen is also considered to significantly reduce greenhouse gas emissions, especially those from renewable energy. Indonesia is an archipelagic country where water is more than 60% of its territory. Moreover, Indonesia is blessed with sunshine that can shine all year round. These two great potentials can be utilized to produce cleaner hydrogen using Floating PV and Water Electrolysis. In this research, two models were developed that will produce Hydrogen gas for the industrial sector with a pressure of 200 bar for every 10 $mathrm{m}^{3}$ and Oxygen gas for every 6 $mathrm{m}^{3}$ through electrolysis sourced from the PLN grid is close to a renewable generator. The example in this study is Cirata Floating PV with an installed capacity of 192.4 MWp and a Power Purchase Agreement (PPA) with a PLN of 145 MW (AC). The annual output of electrical energy is obtained from modeling using the PV Syst 7.1 software. In this paper, the first model is made by utilizing the excess power from the PPA. It’s called model A. Furthermore, a second model is made by considering the oversupply of the utility grid (PLN) in the Java-Bali system, assuming that all electrical energy output of the Cirata Floating PV is used as the basis for capacity production at the electrolysis plant, which in this paper is referred to as model B. Both models were simulated based on several scenarios. It was found that model A gets the highest IRR of 17.12% and Model B can get the highest IRR of up to 20.86%. In addition to obtaining the feasibility of the Power to the Gas project, this paper also calculates the potential for reducing CO2 emissions from the two models, namely S07,763.70 kg CO2eq for model A and 163,824,121.31 kg CO2eq for model B.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117133345","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}

{"title":"Increasing Distribution System PV Hosting Capacity Using Network-Based Optimization Techniques","authors":"B. B. Navarro, M. M. Navarro","doi":"10.1109/CPEEE56777.2023.10217454","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217454","url":null,"abstract":"The increasing adoption of solar PV systems in distribution system requires constant system modification and reinforcement to increase hosting capacity. Network-based optimization models like network reconfiguration and phase load balancing was used mainly for loss minimization and voltage improvement. The idea of reducing feeder loading and balancing phase load makes the same model useful in hosting capacity improvement. This paper proposes a network-based optimization technique to increase solar PV hosting capacity of a distribution system. With the use of Genetic Algorithm (GA) as an optimization tool for network-based optimization model, the method was able to increase the hosting capacity by 28.26%. Results show that initial and optimized configuration limits the hosting capacity due to voltage rise and line loading problems, respectively.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117289395","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}

{"title":"Online Learning Framework for Nonlinear Dynamic Thermal Modeling","authors":"Yuchao Hua, L. Luo","doi":"10.1109/CPEEE56777.2023.10217626","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217626","url":null,"abstract":"In order to obtain highly-efficient management schemes for thermal components and systems, the thermal dynamic modeling must be robust and accurate. Resistance-capacitance (R-C) thermal models involving unknown coefficients have been widely employed to realize the dynamic modeling following the gray-box methodology. In most of cases, R-C thermal models are amused to be linear, neglecting all the possible dependence of heat transfer coefficients on the node temperatures. Those linear models may become inapplicable, when nonlinearity effects are non-negligible. In addition, the training process of R-C models to determine the unknown coefficients is usually offline currently, which indicates the users have to re-train the models once the heat transfer features change during the operation process. Here, an ensemble Kalman filter (EnKF)-based framework integrated with Gaussian process (GP) is adopted to train nonlinear R-C thermal models to realize the self-adaptive dynamic modeling. The machine learning method, GP, guarantees the high-degree self-adaption of the framework, while the EnKF achieves the online training and the integration of nonlinear R-C thermal model and GP. Furthermore, the performance of our algorithm is evaluated on the synthetic datasets, which well proves its feasibility.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114996159","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}

{"title":"Converter-Based Damping of Low Frequency Oscillations in Mixed-Source Microgrids","authors":"M. Little, P. Lehn","doi":"10.1109/CPEEE56777.2023.10217357","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217357","url":null,"abstract":"This paper uses a combination of state space modeling and real-time hardware-in-the-loop simulations to compare the suitability of grid forming inverse-droop controls with virtual synchronous machine (VSM) controls for mitigation of frequency oscillations in islanded mixed-source microgrids. A linearized state space model is produced around an analytically determined equilibrium of the microgrid, which allows the electrical and mechanical dynamics of the microgrid to be investigated. Participation factor analysis is used to identify poorly damped low frequency system modes excited by each control techniques. Real-Time hardware-in-the-loop experimentation is conducted to verify this stability conclusions. using a PLECS Real-Time (RT) Box as the real-time digital simulator. Through study of a system containing two controlled converters and one rotating generator, the impact of control choice on the inter-converter and converter-generator power flow is shown. It is convincingly demonstrated that the grid forming inverse droop topology provides superior damping of frequency oscillations by eliminating poorly damped oscillatory modes that exist when VSM controls are used.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115325743","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}

{"title":"Torque Estimation in Rotating Electrical Machines","authors":"Amir Ebrahimi","doi":"10.1109/CPEEE56777.2023.10217670","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217670","url":null,"abstract":"This contribution introduces a method for torque estimation in rotating electrical machines regardless of their origins. Notoriously, it is not possible to describe with the same interpretation both the synchronous torque and the reluctance torque of e.g. a salient pole synchronous machine or the main torque and the cogging torque of a permanent magnet synchronous machine. Whereas the first is interpreted on the basis of the Lorentz force or alignment of two fields of the stator and rotor, the second term is interpreted as the tendency of the force to minimize the air gap i.e. the reluctance force. Although the total torque (sum of Lorentz and reluctance force) can be derived directly from the formulation of the Maxwell stress tensor or co-energy method (as the finite element programs do), there is still no interpretation capable of calculating all the components of the torque (main torque, oscillating torque, reluctance torque, asynchronous torque, cogging torque, etc.) uniformly.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125087907","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}

{"title":"Research on the Identification Method of Limited Production Enterprises Based on Electric Power Big Data","authors":"Lin Zhao, Hui Wang, Zhi-Hong Ou, Zhenyu Zhang, Shu-Ming Feng, Jia-Yu Zhang, Xi-Ming Sun, Jialiang Miao","doi":"10.1109/CPEEE56777.2023.10217545","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217545","url":null,"abstract":"The rapid development of the economy has caused huge energy consumption and caused more environmental problems. Therefore, under the dual-carbon goal, energy conservation and emission reduction of industrial enterprises is an inevitable path for green, low-carbon and sustainable development. At present, various regions target related enterprises. A series of emission reduction measures have also been introduced, but the effect of emission reduction control lacks scientific measurement standards. Based on this, this study analyzes the power big data before and after the emission reduction measures taken by 1141 industrial enterprises in Lianyungang City, Jiangsu Province in 2021, calculates the production reduction ratio of the enterprises through the emission reduction plan, and uses a clustering algorithm to find the unrestricted Enterprises that limit production according to the requirements can quickly identify the actual emission reduction effect, and realize the emission monitoring and early warning of emission reduction enterprises, so as to provide decision-making reference for the regulatory authorities to optimize emission reduction measures and formulate corresponding reward and punishment measures.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"10 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124475196","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}

{"title":"Branch Parameter Estimation for Aging Power System Using System Identification Theory","authors":"Yicheng Zhou, Jinhua She, Y. Ryuichi","doi":"10.1109/CPEEE56777.2023.10217552","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217552","url":null,"abstract":"In this paper, we propose a so-called parameter estimation method that accurately estimates the branch parameter of the distribution system based on the actual operation data of the system, and verifies the applicability of the proposed method.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121211728","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}

{"title":"Research on the Reactive Voltage Mixing Control Strategy of the Distribution Network for “Source-Grid-Load-Storage”","authors":"Zhao Fulin, Li Hui, Yanxin Li, Dai Wei, X. Jia","doi":"10.1109/CPEEE56777.2023.10217556","DOIUrl":"https://doi.org/10.1109/CPEEE56777.2023.10217556","url":null,"abstract":"With the rapid development of distributed energy, due to the intermittent, random, and strong volatility of distributed energy, the grid connection of distributed energy will lead to reverse currents and cause power quality problems such as voltage crossing limits if the power is not consumed. This paper analyzes the impact of “source-grid-load-storage” resources on the power grid based on the “source-grid-loadstorage” interactive regulation system of a city. Using reactive power compensation as the regulation tool, a coordinated control framework is designed, and a coordinated and optimized control strategy is proposed to adapt to multiple operation scenarios, as well as a centralized optimization strategy and specific processes targeting active and reactive power. It effectively solves the problem of power consumption of distributed energy and the problem of power quality such as voltage crossing limit. To some extent, it alleviates the problem of new energy consumption. At the same time, the operation strategy of the “source-grid-load-storage” regulation system is optimized, so that the operation of the “source-grid-load-storage” regulation system is more reasonable. It promotes the development of new energy technologies and helps to achieve the goal of “carbon peak and carbon neutrality”.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126378678","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}