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New Functions of VSC Based HVDC Transmission Systems that Can Effectively Support the Future South-East European Grid with Low Inertia and Large Amount of Res Generation 基于 VSC 的高压直流输电系统的新功能，可有效支持未来具有低惯性和大量备用发电的东南欧电网
B&H Electrical Engineering Pub Date : 2023-12-01 DOI: 10.2478/bhee-2023-0017
Arman Derviškadić, Alberto Persico, Riccardo Passaglia, Gianluca Marras
{"title":"New Functions of VSC Based HVDC Transmission Systems that Can Effectively Support the Future South-East European Grid with Low Inertia and Large Amount of Res Generation","authors":"Arman Derviškadić, Alberto Persico, Riccardo Passaglia, Gianluca Marras","doi":"10.2478/bhee-2023-0017","DOIUrl":"https://doi.org/10.2478/bhee-2023-0017","url":null,"abstract":"Abstract The energy mix in South-East Europe is nowadays mainly composed by hydro and fossil fuels generation almost equally distributed in the share of electricity generation. Wind and solar PV generation play a very marginal role playing cumulatively less than 7% of the total generation, while fossil fuels exceed 52% of the total generation. A Multi-Terminal HVDC grid between the different countries in South-East Europe may provide various operational and socio-economic gains. In this paper are presented some grid specific challenges and explored some new functions of HVDC transmission systems based on VSC technology that can effectively support the grid with large amount of RES. The paper aims to explore how the VSC converters can improve the system’s voltage stability and provide the necessary frequency control when the inertia in the grid is very low and how the HVDC transmission system can accomplish transferring the primary and secondary reserves solving the rising problems related to dispatchability and inertia response in RES based power grids.","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":" 25","pages":"44 - 52"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138620472","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
Energy Consumption of Battery- Electric Buses: Review of Influential Parameters and Modelling Approaches 纯电动公交车的能量消耗:影响参数和建模方法综述
B&H Electrical Engineering Pub Date : 2023-11-07 DOI: 10.2478/bhee-2023-0007
Amra Jahic, Mina Eskander, Edvard Avdevicius, Detlef Schulz
{"title":"Energy Consumption of Battery- Electric Buses: Review of Influential Parameters and Modelling Approaches","authors":"Amra Jahic, Mina Eskander, Edvard Avdevicius, Detlef Schulz","doi":"10.2478/bhee-2023-0007","DOIUrl":"https://doi.org/10.2478/bhee-2023-0007","url":null,"abstract":"Abstract The electrification of public transportation fleets worldwide can pose a challenge to multiple stakeholders, such as the fleet operator or the operator of the local electrical grid. One of the important prerequisites for the successful integration of these fleets into the existing system is the knowledge of the energy consumption of the buses during their trips. The energy consumption varies depending on multiple factors such as the vehicle or route-related parameters, operational, and environmental parameters. This paper gives an overview of the latest research regarding these influential factors. Another essential prerequisite for the implementation of intelligent management systems for electric bus fleets is the forecasting of energy consumption. Researchers take different approaches to tackle this issue. A review of the latest research considering empirical approaches, physical models, regression, and machine learning is also provided in this paper. The findings of this paper provide a quick overview of different aspects of the energy consumption of electric buses and can therefore support other researchers or decision-makers in their work.","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":"286 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135475486","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
Hybrid Generation of Existing Wind Power Plants with Additional Installation of Photovoltaic Power Plants 现有风力发电厂与额外安装的光伏发电厂的混合发电
B&H Electrical Engineering Pub Date : 2023-09-30 DOI: 10.2478/bhee-2023-0006
Dragan Mrković, Perica Perić, Božidar Marić
{"title":"Hybrid Generation of Existing Wind Power Plants with Additional Installation of Photovoltaic Power Plants","authors":"Dragan Mrković, Perica Perić, Božidar Marić","doi":"10.2478/bhee-2023-0006","DOIUrl":"https://doi.org/10.2478/bhee-2023-0006","url":null,"abstract":"Abstract The paper describes the possibility of hybrid electricity generation in already existing wind power plants (WPP) by additional installation of photovoltaic power plants (PVPP) on individual wind turbines (WT). Wind turbines have the lowest generation of electricity in the summer months, while PVPPs have the opposite, the highest generation in those months. Connecting the PVPP to the existing WT (hybrid electricity generation) brings a more even generation and a greater degree of use of the infrastructure of the existing wind farms (HV/MV transformer station, medium voltage cable distribution...). This way the variation of generation in relation to the average annual generation is reduced, which reduces the problems of balancing electricity.","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136337065","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
Objective Quality Metrics Assessment for Cloud Gaming 云游戏的客观质量指标评估
B&H Electrical Engineering Pub Date : 2023-05-01 DOI: 10.2478/bhee-2023-0005
J. Husić, Sara Kozić, Sabina Baraković
{"title":"Objective Quality Metrics Assessment for Cloud Gaming","authors":"J. Husić, Sara Kozić, Sabina Baraković","doi":"10.2478/bhee-2023-0005","DOIUrl":"https://doi.org/10.2478/bhee-2023-0005","url":null,"abstract":"Abstract This paper aims to provide objective quality metrics assessment for cloud gaming using machine learning algorithms. Three classification algorithms (i.e., Random Forest, Random Three and J-48) have been used for the development of models for objective quality assessment of two metrics: blurriness and blockiness. The results indicate that Random Forest has the best performance in this experimental case of objective quality metrics assessment for cloud gaming. Future research activities will cover comparison of a broad range of objective quality metrics and machine learning algorithms while using larger dataset to enhance the results significance.","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131223257","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
The Energy Management System According to the Norm ISO 50001 能源管理系统符合ISO 50001标准
B&H Electrical Engineering Pub Date : 2023-05-01 DOI: 10.2478/bhee-2023-0002
D. Bago, Ena Bešo, Goran Kujundžić
{"title":"The Energy Management System According to the Norm ISO 50001","authors":"D. Bago, Ena Bešo, Goran Kujundžić","doi":"10.2478/bhee-2023-0002","DOIUrl":"https://doi.org/10.2478/bhee-2023-0002","url":null,"abstract":"Abstract The final paper presents an approach to solving the problem of optimal use of electrical energy in the production process. An analysis of all important parameters, limitations, and goals was performed, after which a mathematical model was created and used in writing Matlab code to solve the problems. It is the basis for further upgrading following the needs of each organization and because of that, it can be very significant.","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":"69 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114097306","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
Comparison of Two Different Battery Charging Methods 两种不同电池充电方式的比较
B&H Electrical Engineering Pub Date : 2023-05-01 DOI: 10.2478/bhee-2023-0003
Goran Kujundžić, D. Bago, A. Bernadic
{"title":"Comparison of Two Different Battery Charging Methods","authors":"Goran Kujundžić, D. Bago, A. Bernadic","doi":"10.2478/bhee-2023-0003","DOIUrl":"https://doi.org/10.2478/bhee-2023-0003","url":null,"abstract":"Abstract This paper describes charging of battery stack using model predictive control (MPC) algorithm. Temperature model and hybrid electrical model are used in algorithm. The battery stack consists of four serially connected valve-regulated lead-acid (VRLA) batteries. The objective of the optimization is to charge the proposed battery stack without violating the constraints in order to maintain the battery health. Validation of MPC algorithm for battery charging is performed using comparison between closed-loop MPC simulations and obtained characteristics of actual MPC charging. Previously, the conventional constant current constant voltage (CCCV) algorithm was proved as good, taking into account the degradation effects but not considering the speed of the charging. The comparison between charging of proposed battery stack using MPC algorithm and CCCV algorithm is performed and the comparison in charging proves MPC algorithm as better compared to the CCCV algorithm.","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121148776","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
Reinforcement Learning in Power System Control and Optimization 强化学习在电力系统控制与优化中的应用
B&H Electrical Engineering Pub Date : 2023-05-01 DOI: 10.2478/bhee-2023-0004
A. Bernadic, Goran Kujundžić, I. Primorac
{"title":"Reinforcement Learning in Power System Control and Optimization","authors":"A. Bernadic, Goran Kujundžić, I. Primorac","doi":"10.2478/bhee-2023-0004","DOIUrl":"https://doi.org/10.2478/bhee-2023-0004","url":null,"abstract":"Abstract Reinforcement learning (RL) is area of Machine Learning (ML) and part of wide-range portfolio of the Artificial intelligence (AI) methods. Besides the explanations of the concepts and principles of RL, in the paper are presented practical RL models for control and optimizing operation of power system – controlling tap-changers for maintain voltage levels and model for techno-economical optimizing operation of energy storages of households in microgrid. Trained RL agent in the practical example synchronizes operation of tap-changers to maintain satisfactory voltage level for the consumers, even in the network with distributed generation. Energy storages are in wide use in households, especially in the combination with PV. In the second example, microgrid’s energy management system (EMS) RL agent after learning process act in the simulated environment with variable electrical energy prices, variable load profiles and efficiency of PV modules of households to maximize profit for the houseowners in the microgrid. Agent controls charging and discharging of energy storages and obtain maximal benefit in randomly determined conditions of microgrid operation and different tariff situations. Models are implemented in the Python programming environment Python with specialized power system simulation software (Pandapower) and RL libraries (RLib, OpenAI).","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134231699","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
Floating Photovoltaic Power Plant and Estimation of Potential in Bosnia and Herzegovina 波黑浮动式光伏电站及潜力评估
B&H Electrical Engineering Pub Date : 2023-05-01 DOI: 10.2478/bhee-2023-0001
Sarah Zeljković, Naida Panjeta, Emir Ajkunić, S. Avdakovic
{"title":"Floating Photovoltaic Power Plant and Estimation of Potential in Bosnia and Herzegovina","authors":"Sarah Zeljković, Naida Panjeta, Emir Ajkunić, S. Avdakovic","doi":"10.2478/bhee-2023-0001","DOIUrl":"https://doi.org/10.2478/bhee-2023-0001","url":null,"abstract":"Abstract Generation of photovoltaic power plants is growing rapidly in the last ten years in the world. One of the key factors for the construction of floating photovoltaic power plants is to provide space for their construction. This paper presents statistical indicators of installed capacities of floating photovoltaic power plants, as well as a detailed description of the components of these power plants. Approaches to construction and maintenance recommendations are described in more detail. The basic results of simulations are presented on a concrete example of a floating photovoltaic 1 MW power plant on Lake Modrac. The available areas of artificial lakes in Bosnia and Herzegovina were analysed, and it was shown that the installation of floating photovoltaic power plants on 5% of the surface of artificial lakes would provide around 10% of the total electricity consumption in Bosnia and Herzegovina.","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117013185","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
About Applications of Deep Learning Operator Networks for Design and Optimization of Advanced Materials and Processes 深度学习算子网络在先进材料和工艺设计与优化中的应用
B&H Electrical Engineering Pub Date : 2022-12-01 DOI: 10.2478/bhee-2022-0006
S. Koric, D. Abueidda
{"title":"About Applications of Deep Learning Operator Networks for Design and Optimization of Advanced Materials and Processes","authors":"S. Koric, D. Abueidda","doi":"10.2478/bhee-2022-0006","DOIUrl":"https://doi.org/10.2478/bhee-2022-0006","url":null,"abstract":"Abstract The paper explores the possibility of using the novel Deep Operator Networks (DeepONet) for forward analysis of numerically intensive and challenging multiphysics designs and optimizations of advanced materials and processes. As an important step towards that goal, DeepONet networks were devised and trained on GPUs to solve the Poisson equation (heat-conduction equation) with the spatially variable heat source and highly nonlinear stress distributions under plastic deformation with variable loads and material properties. Since DeepONet can learn the parametric solution of various phenomena and processes in science and engineering, it was found that a properly trained DeepONet can instantly and accurately inference thermal and mechanical solutions for new parametric inputs without re-training and transfer learning and several orders of magnitude faster than classical numerical methods.","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124018227","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: 3
Sacrificial Anode Cathodic Protection System Modelling Using Direct Boundary Element Method 牺牲阳极阴极保护系统的直接边界元建模
B&H Electrical Engineering Pub Date : 2022-12-01 DOI: 10.2478/bhee-2022-0010
A. Mujezinović, S. Martinez
{"title":"Sacrificial Anode Cathodic Protection System Modelling Using Direct Boundary Element Method","authors":"A. Mujezinović, S. Martinez","doi":"10.2478/bhee-2022-0010","DOIUrl":"https://doi.org/10.2478/bhee-2022-0010","url":null,"abstract":"Abstract Cathodic protection system is commonly employed approach for the protection of the metallic infrastructure placed in electrolyte against corrosion. Adequate design of the cathodic protection system requires the determination of electrical potential and current density distribution on the protected object surface that meets the defined criteria. In this paper, the application of the direct boundary element method in conjunction with Newton-Raphson method was considered for the calculation of the electric potential and current density distribution on the surface of the cathodically protected underground object. The considered method was applied on the sacrificial anode cathodic protection system of the underground pipeline. The non-linear boundary conditions of the electrode surfaces of the cathodic protection system are taken into account. The method was used to determine the current density and electric potential distribution on the external wall of the protected pipeline.","PeriodicalId":236883,"journal":{"name":"B&H Electrical Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122343159","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
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