2022 22nd National Power Systems Conference (NPSC)最新文献_第2页

Effect of Insulator Geometry and Shield Electrode Design on High Voltage Breakdown in Vacuum 绝缘子几何形状和屏蔽电极设计对真空高压击穿的影响

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069539

V. Goel, A. Roy, N. Maiti

{"title":"Effect of Insulator Geometry and Shield Electrode Design on High Voltage Breakdown in Vacuum","authors":"V. Goel, A. Roy, N. Maiti","doi":"10.1109/NPSC57038.2022.10069539","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069539","url":null,"abstract":"In this paper, the effect of insulator geometry and shield electrode design for a practical 270-degree bent, high power (60kV, 60kW) indirectly heated cathode-based electron gun has been investigated. This will ensure improved electron gun performance by reducing high voltage breakdown of electron gun insulators in vacuum. For this purpose, different insulator geometries: 1) Cylindrical 2) Positive Angled 3) Negative Angled and different metal shield electrode designs: 1) Cylindrical Ring 2) Conical Frustum and their combination have been modelled and simulated. This has been done for both the gun insulators: one connected between the ground plate and filament holder assembly (60kV insulator) and other connected between filament beam former and grid cup (1.5kV insulator). To achieve this, 3-D electrostatic gun simulations have been performed by using CST Studio v. 2020. Percentage reduction in the electric field strength at the triple junctions has been evaluated. It was found out that negative angled insulator geometry offered better high voltage performance as compared to positive angled geometry. Comparing all, conical frustum shield electrode design was found out to be the most optimum design.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121384357","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

An Operational Practice for Voltage Control & Reactive Power Management in National Grid 国家电网电压控制与无功管理的运行实践

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069081

Manohar Singh, D. Patil

{"title":"An Operational Practice for Voltage Control & Reactive Power Management in National Grid","authors":"Manohar Singh, D. Patil","doi":"10.1109/NPSC57038.2022.10069081","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069081","url":null,"abstract":"The smooth flow of apparent power in power networks requires adequate reactive power support. Generators are the main supporting units to meet the reactive power of the national grid. Transportation of reactive power support from generating units to load centres results in artificial loading of transmission infrastructure, contributing to voltage instability, increased losses, and inefficient network operation. Adequate management of reactive power in grid is reflected in terms of low voltage profile& stresses on generating units to supply their dynamic reactive. In this research work, an algorithm for reactive power management for voltage control in the national grid has been presented to optimise and localise the flow of reactive power. The presented algorithm, looks to meet the reactive power requirement at distribution network by recommending the additional compensating devices at distribution side, tuning of reactor at transmission side and utilizing the dynamic reactive power support at generating units. The additional reactive power support needs for load requirement is identified at most reactive power sensitive load buses. The reactive power compensating devices are suggested for voltage control to downstream buses in distribution network. This work is studied for the Northern region of the Indian grid and simulation is performed using the PSSE simulation software. The presented algorithm for reactive power management will be an operational practise for the utility to plan and manage their reactive support for voltage control within Indian Electricity Grid Code criteria.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114363397","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

Bode Stability Criterion Pertaining to SSR Analysis for Second Benchmark Model in DFIG Based Windfarm 基于DFIG的风电场二次基准模型SSR分析的Bode稳定性准则

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069059

Chirag Rohit, Azadkumar G. Bolabattin, P. Darji, H. Jariwala

引用次数: 0

Optimal Schedule for Hydro-thermal Energy System including Environmental Impacts 考虑环境影响的水热系统优化调度

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069216

Trishti Gupta, Ashu Verma, S. Kar

引用次数: 0

ANN Based Modelling of Optimal Passive Cell Balancing 基于神经网络的最优无源电池平衡建模

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069440

S. Singh, P. Agnihotri

{"title":"ANN Based Modelling of Optimal Passive Cell Balancing","authors":"S. Singh, P. Agnihotri","doi":"10.1109/NPSC57038.2022.10069440","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069440","url":null,"abstract":"Batteries cost nearly 30-40% of overall vehicle cost, making them the most crucial part of electric vehicles. Among different types of batteries, Li-ion batteries are mostly preferred because of their high energy as well as power density, low self-discharge rate, no memory effect, large life cycles and low cost. Batteries are the combination of many cells connected in series and parallel depending upon the voltage and current ratings. Each cell differs in its cell behaviour, creating cell imbalance. This unbalancing needs a balancing circuit to properly utilize the cell’s capacity. In this paper, Multi-layer Feed Forward Neural Network-based passive cell balancing has been done, and used ANN model is trained by Levenberg-Marquardt backpropagation algorithm using Neural network toolbox of MATLAB. An analytical method for bleed resistor calculation considering the parameters such as maximum power loss, balancing time and voltage difference has been proposed. Equalization of the SoC level shows the successful completion of cell balancing. In the ANN-based model, cell voltages show no ripples during balancing than in the Logic-based Stateflow model. During the change of bleed resistor range, ANN-based models again show no ripple in battery voltage and current.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132935401","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

A hybrid GAN based autoencoder approach with attention mechanism for wind speed prediction 基于混合GAN的自编码器风速预测方法及注意机制

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069761

Srihari Parri, Vishalteja Kosana, Kiran Teeparthi

{"title":"A hybrid GAN based autoencoder approach with attention mechanism for wind speed prediction","authors":"Srihari Parri, Vishalteja Kosana, Kiran Teeparthi","doi":"10.1109/NPSC57038.2022.10069761","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069761","url":null,"abstract":"Accurate forecasting of wind speed is essential for the effective utilization of wind power. For forecasting algorithms to produce accurate results, high-dimensional input is necessary. The method of obtaining wind speed data, however, runs into a number of issues since data measurement equipment fails. Accurate imputation and effective feature extraction are required for precise wind speed forecasting (WSF). Thus, this paper proposed a hybrid wind speed prediction model consisting of a generative adversarial network (GAN), and an attention mechanism-based convolutional long short-term memory network autoencoder (AM-CLSTMAE). The GAN is used for the effective missing data imputation (MDI) of wind speed values based on the data distribution, and AM-CLSTMAE extracts the spatio-temporal characteristics to accurately predict the wind speed. The proposed model is evaluated using two test cases comprehensively for the MDI, and WSF. The 5-minute wind speed data for the two test cases is collected from the wind farms located in Leicester, and Portland. Different comparison models are used to evaluate the proposed model using various evaluation indices. The two test cases indicated that the proposed model achieved an improvement of 60%, and 63% in the MDI, 42%, and 40% in the WSF for two test cases, respectively.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133092366","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

A Review of the Reactive Power Compensation Regulation in India 印度无功补偿法规研究综述

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069622

D. Chattopadhyay, S. Soonee, Prateek Bansal

{"title":"A Review of the Reactive Power Compensation Regulation in India","authors":"D. Chattopadhyay, S. Soonee, Prateek Bansal","doi":"10.1109/NPSC57038.2022.10069622","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069622","url":null,"abstract":"This paper discusses the key issues around reactive power planning, management and efficient pricing in India, especially for dynamic reactive power (DVAr) from non-transmission resources which is critical for maintaining voltage stability. This is an emerging area of priority in India considering some of the past events including near misses and as the system undergoes a major transition with traditional DVAr resources in fossil fuel power plants replaced by variable renewable energy (VRE). The current draft Indian Electricity Grid Code (IEGC) introduces a regional model linked to voltage level at the EHV level and pricing mechanism that explicitly recognizes a compensation to the generators at 5 paise/kVArh (US${$}$0.65/MVArh). There will need to be further refinements to it going forward to recognize the dynamic nature, location, role of DVAr reserve to maintain stability. DVAr resources will need a major boost in supply as well as prices to support investment in a wide array of VAr resources. These refinements will need to be articulated through a proper reactive power management policy informed by detailed reactive power planning and pricing studies. The paper concludes with the contours of a methodology and data issues that will be needed to support such policy analysis.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132791005","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

A testbed for modelling Active Distribution Systems using Cyber-Physical Co-simulation 基于信息物理联合仿真的有源配电系统建模试验平台

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069120

Raju Wagle, Gioacchino Tricarico, P. Sharma, Charu Sharma, J. Rueda, F. Gonzalez-Longatt

引用次数: 1

A Novel Approach for Solar PV Modules Reconfiguration to Achieve GMPP from Partially-Shaded PV Array System: An Experimental Analysis 部分遮阳光伏阵列系统中太阳能光伏组件重构实现GMPP的新方法:实验分析

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069630

R. Pachauri, J. Singh

引用次数: 1

A New Data-Driven Quasi-Monte Carlo for Probabilistic Optimal Power Flow 概率最优潮流的一种新的数据驱动拟蒙特卡罗算法

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069715

Attoti Bharath Krishna, A. Abhyankar

{"title":"A New Data-Driven Quasi-Monte Carlo for Probabilistic Optimal Power Flow","authors":"Attoti Bharath Krishna, A. Abhyankar","doi":"10.1109/NPSC57038.2022.10069715","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069715","url":null,"abstract":"Probabilistic optimal power flow (POPF) assists system operators in risk-based decision-making. Characteristics like non-intrusive nature and the ability to employ the whole deterministic model make sample-based techniques like Quasi-Monte Carlo (QMC) suitable for solving POPF. However, the downsides of QMC’s broad application include its uneven accuracy, fluctuating rate of convergence, and absence of a quality metric. To that aim, we present a data-driven nonparametric QMC framework for solving POPF with complex and correlated uncertainties accurately and efficiently. The proposed methodology employs the uniform experimental design (UD) as a QMC sampling approach. The suggested framework, based on the copula perspective, directly calculates the appropriate correlation matrix in Gaussian space, decreasing the computing cost. Furthermore, we suggest mixture discrepancy (MD) as a metric that can assist researchers in choosing the appropriate QMC sample set for POPF without the need for time-consuming simulation. Results from the case study on a modified 39-bus system reveal that the proposed UD-based QMC reduces computing effort while providing accurate POPF results compared to current QMC approaches.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115589993","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