2022 22nd National Power Systems Conference (NPSC)最新文献_第7页

Physics-guided Deep Learning for Branch Current Distribution System State Estimation 物理指导下的深度学习用于支路电流分配系统状态估计

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069733

Y. Raghuvamsi, Sreenadh Batchu, Kiran Teeparthi

{"title":"Physics-guided Deep Learning for Branch Current Distribution System State Estimation","authors":"Y. Raghuvamsi, Sreenadh Batchu, Kiran Teeparthi","doi":"10.1109/NPSC57038.2022.10069733","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069733","url":null,"abstract":"In distribution system state estimation (DSSE), the physics-based approach such as the weighted least squares (WLS) technique suffers from convergence issues, whereas the problem with conventional deep learning (DL) models is the lack of generalizability. To address these aspects, this paper proposes a physics-guided deep learning (PGDL) framework, which incorporates the power system physical laws into the deep learning models for DSSE. The proposed approach has two stages. The first stage leverages the DL models to understand the relation between the measurement data and system states, while the second stage involves physics-guided equations to decode the measurement data from the estimated states. Further, a loss function incorporating the estimated states and estimated measurements is derived to guide the learning process of the considered deep learning model. The required database for DL models is generated by carrying out power flow studies on a modified IEEE 37-node unbalanced distribution test system. Various deep learning models such as multi-layer perceptron (MLP), convolutional neural networks (CNN), and hybrid CNN-MLP are implemented in the proposed PGDL framework for DSSE and their performance metrics are evaluated and compared under different scenarios. The results show that the PGDL approaches achieve better performance compared with their conventional DL models and the basic WLS algorithm.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"136 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":"122939259","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

Blockchain Enabled Smart Metering Solutions: Challenges and Opportunities 区块链智能计量解决方案:挑战与机遇

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069901

Vaishali Tayal, Hemant Kumar Meena, R. Bhakar, Chandra Prakash Barala

引用次数: 0

Enhancing the Share of Solar PV Energy in BVRIT Campus Distribution Grid using Campus Energy Monitoring System (CEMS) 利用校园能源监控系统 (CEMS) 提高太阳能光伏发电在 BVRIT 校园配电网中的比例

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069180

P. C. D. Goud, P. Chandra Babu, M. Prameela, K. Rayudu, V. C. Duvvury, P. Yemula

{"title":"Enhancing the Share of Solar PV Energy in BVRIT Campus Distribution Grid using Campus Energy Monitoring System (CEMS)","authors":"P. C. D. Goud, P. Chandra Babu, M. Prameela, K. Rayudu, V. C. Duvvury, P. Yemula","doi":"10.1109/NPSC57038.2022.10069180","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069180","url":null,"abstract":"The amount of energy consumed has a very substantial impact on the price of the products in industries, it effects the operation cost. As a result, the reduction of energy consumption has risen to the top priority in all places like industries and commercial application. Hence energy balance and sharing of available energy between the loads are key points to reduce the electricity bill. In this paper, a practical case study considered at BVRIT campus. It includes power availability in campus, solar peak, morning and night load peak, total demand peak, energy balance analysis are presented. Multi function meters with RS-485 communication and Raspberry pi are used for data collection in the real time. Data related to solar power generation, utilisation, peak load timings, excess power available times and power consumed from the main grid were measured and collected, will assist consumer to maintain cost effective system. Based on the analysis, it is found that for the month of March 2022, BVRIT campus has sourced 38.8% of its energy requirement from renewable energy which is a significant achievement for an academic campus in India.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"71 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":"128125087","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

Internal Fault Analysis of Salient Pole Synchronous Machine Using Modified Winding Function Approach 基于修正绕组函数法的凸极同步电机内部故障分析

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10068874

Teja Bathala, Ranjeet Kumar

引用次数: 0

Energy Storage Sizing for Enhancing Microgrid Resiliency using Virtual Inertia Emulation 利用虚拟惯性仿真增强微电网弹性的储能尺寸

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069703

K. Sharma, R. Bhimasingu

{"title":"Energy Storage Sizing for Enhancing Microgrid Resiliency using Virtual Inertia Emulation","authors":"K. Sharma, R. Bhimasingu","doi":"10.1109/NPSC57038.2022.10069703","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069703","url":null,"abstract":"This paper proposes an approach to estimate the required size of Energy Storage System (ESS) to emulate virtual inertia for a low inertia microgrid. The Distributed Energy Resources (DER) based microgrid system consists of Solar Photovoltaic (SPV), Wind Farm (WF) and Synchronous Machine (SM) based Diesel power generation unit feeding local loads. ESS based Virtual Synchronous Generator(VSG) considered in microgrid is operating in grid supporting mode [6] synchronised using PLL. ESS-VSG unit is utilised for compensating the lack of inertia in Power Electronics interfaced distributed generation boosting the resiliency of microgrid in unison with SM. The virtual inertia injection is achieved using swing equation based Virtual Synchronous Generator algorithm. The severe most contingency in addition with appropriate value of Virtual Inertia Hvsg and Damping Dvsg is selected to determine the ESS capacity for inertia injection such that overall frequency transient and steady state response is enhanced. ESS capacity is estimated considering ESS-VSG unit is only responsible for inertial and primary frequency response during the time of disturbances and does not participate in load sharing during steady state operation.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"63 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":"124448583","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 Bi-level Electric Vehicle Scheduling Strategy in Parking Lots for Peak Load Management 面向高峰负荷管理的停车场双层电动车辆调度策略

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069787

B. Suryakiran, Ashu Verma, Sohrab Nizami, Sukumar Mishra

{"title":"A Bi-level Electric Vehicle Scheduling Strategy in Parking Lots for Peak Load Management","authors":"B. Suryakiran, Ashu Verma, Sohrab Nizami, Sukumar Mishra","doi":"10.1109/NPSC57038.2022.10069787","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069787","url":null,"abstract":"The increase in demand at the distribution level due to the advent of Electric Vehicles (EVs) could pose serious grid problems. One of the significant challenges is the requirement of network augmentation and generation required to cater to peak load. In this context, we present two-stage optimal management of the EV fleet in a distribution system aimed at reducing the peak load while maximizing the EV accommodation. A Demand Response (DR) based optimization problem is solved for calculating the EV Charging Stations (EVCS) power schedules, with the objective of peak load reduction in the first level. It considers the Critical Peak included Real Time Pricing (CP-RTP) strategy for Peak Load Reduction (PLR). Following this, we solve another optimization model to maximize the EV accommodation for the power schedules calculated in the first stage. The proposed two-stage EV management strategy is tested on an IEEE 33 bus radial balanced system for various EV penetration levels for validity and scalability. A comparative analysis of proposed EV scheduling framework is carried out to demonstrate the value proposition in contrast to hourly day ahead EV scheduling.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"36 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":"121915372","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 Active Power Management to Prevent Reverse Power Flow and ITOAGI-PLL Control to Enhance Power Quality in SyRG DG-PV Standalone System 防止反向潮流的有源电源管理和ITOAGI-PLL控制提高syg DG-PV单机系统的电能质量

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069124

Subhadip Chakraborty, Gaurav Modi, Bhim Singh

{"title":"An Active Power Management to Prevent Reverse Power Flow and ITOAGI-PLL Control to Enhance Power Quality in SyRG DG-PV Standalone System","authors":"Subhadip Chakraborty, Gaurav Modi, Bhim Singh","doi":"10.1109/NPSC57038.2022.10069124","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069124","url":null,"abstract":"An active power management strategy for preventing reverse power flows and DC link overshoots/undershoots for a diesel engine driven synchronous reluctance generator (SyRG) and solar photovoltaic array (SPVA) based standalone system is presented in this paper. The SPVA is controlled via a conditional derated perturb and observe (CDP&O) maximum power point tracking (MPPT) algorithm. The load is categorized into emergency and auxiliary loads. The DC link voltage is maintained constant, and the system remains operational and feeds power to the loads in extreme conditions. To enhance the power quality of the standalone system in presence of nonlinear loads, this paper also presents an improved third order adaptive generalized integrator (ITOAGI) with a phase-locked loop (PLL) based control algorithm. The control makes the system adaptive to the frequency of the DG voltages during sudden frequency due to changes in loading conditions. The control utilizes the voltage source converter (VSC) of the SPVA to compensate for the unbalanced and harmonic current components to maintain the SyRG DG set currents linear and distortion-free as per the IEEE std. 519. The system Simulink model is used to simulate the performance of the standalone system in steady-state and various dynamic conditions during day and night time.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"19 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":"123230818","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

Implementing GOOSE Communication to Increase the Reliability of Non-Unit Protection Functions 实现GOOSE通信，提高非单元保护功能的可靠性

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069807

Abhishek Kalita

引用次数: 0

Synchronization Controller for Seamless Interconnection of Mirogrids with Heterogeneous Sources 异构源微电网无缝互联的同步控制器

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069869

Amit Gupta, P. Sekhar, M. Degefa, Klemets Jonatan R. A., Salvatore D'Arco

引用次数: 0

Optimal Substation Spacing in 2x25kV Traction System 2x25kV牵引系统变电站最优间距

2022 22nd National Power Systems Conference (NPSC) Pub Date : 2022-12-17 DOI: 10.1109/NPSC57038.2022.10069563

Nisha Gupta, Archita Vijayvargia, A. Abhyankar

引用次数: 1