2021 56th International Universities Power Engineering Conference (UPEC)最新文献_第10页

Emulation of Grid-Following Inverters for Impedance-Based Stability Analysis regarding Outer Control Loops 基于阻抗的电网跟踪逆变器外控制环稳定性分析仿真

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548176

C. Hirsching, W. Schulze, Maurizio Zajadatz, M. Suriyah, T. Leibfried

引用次数: 0

Sensitivity Analysis of Transmission Assets: Special Case Transformers Aging 输电资产敏感性分析:变压器老化特例

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548195

Arshad Syed Anwar, M. Emad Farrag, J. Baird

引用次数: 0

Impact Assessment of Charging of Electric Vehicle on Residential Distribution Network of Bangladesh 电动汽车充电对孟加拉国居民配电网的影响评价

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548193

Md. Shadman Abid, Hasan Jamil Apon, Khandaker Adil Morshed, Fahim Abid

{"title":"Impact Assessment of Charging of Electric Vehicle on Residential Distribution Network of Bangladesh","authors":"Md. Shadman Abid, Hasan Jamil Apon, Khandaker Adil Morshed, Fahim Abid","doi":"10.1109/UPEC50034.2021.9548193","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548193","url":null,"abstract":"This paper presents the impact of electric vehicle (EV) integration on urban residential distribution network in Bangladesh. A probabilistic load flow algorithm has been developed in this study to analyze system parameters for a selected residential feeder of a middle income economic zone in Dhaka, Bangladesh. The algorithm is based on Monte Carlo simulation that considers randomness of EV charging and vehicle mobility patterns to provide a probabilistic load profile for observing the effects of EV integration in distribution grids. Three scenarios of penetration (10%, 20%, and 40%) were considered replacing conventional vehicle fleet. Furthermore, implications of seasonal variation in the impact of electric vehicles on the respective network were investigated. Based on Monte Carlo simulation, an evaluation is presented to analyze aggregated power demand, energy demand, losses, line ampacity violations, voltage security margin violations and average voltage profiles. This study can be used to determine the critical level of EV penetration that does not contravene the grid security margin for a specific urban neighborhood in Bangladesh.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115531759","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

Geomagnetically induced currents: A measurement based inverse determination of earth impedances 地磁感应电流:一种基于地球阻抗逆测定的测量方法

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548157

P. Schachinger, Dennis Albert, H. Renner

引用次数: 2

Voltage and Frequency Stability Enhancement of Islanded Network 孤岛电网电压频率稳定性的增强

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548170

N. Azizi, H. M. Cheshmehbeigi, Hassan NOURI

引用次数: 0

Soft Transformer Energization: Ramping Time Estimation Method for Inrush Current Mitigation 软变压器通电:缓解涌流的斜坡时间估计方法

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548203

Abdulrahman Alassi, K. Ahmed, A. Egea-Àlvarez, C. Foote

{"title":"Soft Transformer Energization: Ramping Time Estimation Method for Inrush Current Mitigation","authors":"Abdulrahman Alassi, K. Ahmed, A. Egea-Àlvarez, C. Foote","doi":"10.1109/UPEC50034.2021.9548203","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548203","url":null,"abstract":"Uncontrolled transformer energization is known to cause high magnitude inrush currents that can reach up to 10 times transformer rating. Several techniques are proposed in literature to mitigate this issue, including soft transformer energization using a voltage ramp. This technique is regaining more traction with the increased use of converters-based generation. Defining the required voltage ramping time for effective inrush current mitigation is important to avoid fast ramps that can still cause large inrush currents. This paper proposes a model-based ramping time estimation technique that can be used to identify the minimum-adequate voltage ramp time for a given set of constraints, transformer model and network configuration. Key ramping time influencing factors are defined as: residual flux, source to energized core effective impedance and control, in addition to core saturation characteristics. The proposed method considers multiple simulation steps to identify the minimum required ramping time. Simulation case study is presented for a voltage source energization of a 53 MVA three-phase delta-wye transformer, demonstrating the technique capability of determining appropriate ramping times for effective inrush current mitigation. Sensitivity analysis are also carried out to illustrate the impact of varying key parameters such as the transformer core saturation characteristics on the results.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123089350","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

Operating Reserve Dimensioning Methodologies for Renewable Energy Aligned Power Systems 可再生能源并网电力系统运行储备量纲方法

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548228

Leigh Bongers, Ndamulelo Mararakanye, B. Bekker

{"title":"Operating Reserve Dimensioning Methodologies for Renewable Energy Aligned Power Systems","authors":"Leigh Bongers, Ndamulelo Mararakanye, B. Bekker","doi":"10.1109/UPEC50034.2021.9548228","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548228","url":null,"abstract":"Over the last decade there has been a significant transformation in the electricity generation sector across the world, with the aim of reducing the environmental impact of electricity generation. Variable renewable energy (VRE) sources such as wind and solar photovoltaic have proven to be particularly popular in mitigating these environmental impacts. Increasing the penetration of VRE in the electricity generation mix will increase generation variability and uncertainty and can potentially introduce various technical challenges regarding the reliability of the power system network. Generation and demand must be in balance at all times for network reliability and operating reserves exist on the network to ensure system reliability during periods of imbalance. The risk exists that current \"traditional\" operating reserve dimensioning methodologies do not efficiently account for the increase in system imbalance variability and uncertainty as a result of increased VRE generation. This paper reviews the challenges associated with high VRE penetration networks and the caveats of current, \"traditional\" reserve dimensioning methodologies. Emerging, state-of-the-art methodologies in literature and in practice are reviewed to form a basis for future considerations in development of reserve dimensioning methodologies. The paper finds that transmission system operators (TSOs) of modern power systems with high VRE penetration in general are increasingly using probabilistic methodologies to dynamically dimension reserve requirements economically while reliably ensuring system adequacy.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126251105","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

Optimal scheduling of electric vehicles charging and discharging in a smart parking-lot 智能停车场电动汽车充放电优化调度

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548226

Seyed Ashkan Nejati, B. Chong, Mahyar Alinejad, Shahriar Abbasi

{"title":"Optimal scheduling of electric vehicles charging and discharging in a smart parking-lot","authors":"Seyed Ashkan Nejati, B. Chong, Mahyar Alinejad, Shahriar Abbasi","doi":"10.1109/UPEC50034.2021.9548226","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548226","url":null,"abstract":"With large penetration and uncontrolled charging and discharging of Electric Vehicles (EVs) due to rapid increasing demand for clean energy, the upstream grid may face many technical issues such as energy security and reliability risk. Therefore, it is essential to carry out smart scheduling for charging and discharging of EVs. In this paper, a residential parking-lot scheme using 200 EVs as an example is developed to schedule the charging and discharging of EVs which is based on the initial and final value of the State Of Charge (SOC) of all EVs requested by the owner one day in advance, and the information the expected arrival and departure time to the parking-lot. However, errors most probably exist in this scheme where owners’ requests cannot be met because of random behaviours of the other EV owners which will require the imposition of penalty. An optimisation problem is formulated to maximise the Smart Parking-Lot (SPL) profit considering random behaviours EV owners and the penalty imposed. In this paper, the aim is achieved by defining some random behaviours and penalty flexibility. The related optimising problem is solved by using the Particle Swarm Optimisation (PSO) algorithm. The effectiveness of the proposed method is verified through four different scenarios; in the first scenario, some random behaviours of EV owners are considered. In the last three scenarios, some flexibilities in penalising of the EV owners have been considered. The simulation results of all scenarios are compared and used to demonstrate the features of the proposed scheduling method.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133711868","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

The Value of Smart Inverter Control in Distribution Energy Management Systems and Virtual Power Plants, and Opportunities for South Africa 智能逆变器控制在配电能源管理系统和虚拟电厂中的价值，以及南非的机遇

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548163

R. Xavier, B. Bekker, M. J. Chihota

{"title":"The Value of Smart Inverter Control in Distribution Energy Management Systems and Virtual Power Plants, and Opportunities for South Africa","authors":"R. Xavier, B. Bekker, M. J. Chihota","doi":"10.1109/UPEC50034.2021.9548163","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548163","url":null,"abstract":"The rising penetration of distributed energy resources (DERs) in distribution networks can lead to various technical challenges, including poor power quality and system instability. To mitigate these challenges, distribution network operators and regulators are looking towards the coordinated control of smart inverter-based DERs to support the utility grid and provide additional services. Smart inverters have advanced grid supportive functions that assist the utility in maintaining power quality and stability. However, it is not practical for network operators to directly monitor and control each individual inverter and DER. As a result, distribution energy resource management systems (DERMS) and virtual power plants (VPPs) are being tested out in international states with high leading renewable energy penetration, such as Hawaii, Arizona, California and Victoria. DERMS and VPPs can aggregate and optimize the performance of various DERs through smart inverters. This paper investigates the characteristics and benefits of the existing coordinated control techniques of smart inverters as applied in contexts of high DER penetration internationally. The value of smart inverter coordinated control is presented through a literature review and international examples. Based on the review of international practice, recommendations for South Africa are made considering the local context regarding existing infrastructure and grid regulation restrictions, which affect the necessary communications protocol for coordinated control through a DERMS or VPP. The paper finds that VPPs or DERMS in South Africa are feasible, but with the relevant cybersecurity measures and technical regulations update for smart inverter functionality.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133548591","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

Improving Power Transformers Maintenance with Data Science 用数据科学改进电力变压器维护

2021 56th International Universities Power Engineering Conference (UPEC) Pub Date : 2021-08-31 DOI: 10.1109/UPEC50034.2021.9548181

Samuel Lessinger, R. D. de Figueiredo, L. R. Prade, A. da Rosa Abaide

引用次数: 0