Paulo C. M. Meira

Universidade Estadual de Campinas (UNICAMP)

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Walmir Freitas

Universidade Estadual de Campinas (UNICAMP)

Ricardo Torquato

Universidade Estadual de Campinas (UNICAMP)

Diogo Salles

Universidade Estadual de Campinas (UNICAMP)

José Carlos de Melo Vieira Júnior

Universidade de São Paulo

Ayush Kumar Pandey

Vellore Institute of Technology University

Wilsun Xu

University of Alberta

José C. G. Andrade

Universidade Estadual de Campinas (UNICAMP)

Odysseas Krystalakos

Aristotle University of Thessaloniki

Caio Oriente Pereira

Universidade Estadual de Campinas (UNICAMP)

Ming Dong

Tianjin University

Cooperative Institutions

Universidade Estadual de Campinas (UNICAMP)

Hospital de Clínicas da Unicamp

University of Alberta

Universidade de São Paulo

Sichuan University

Chongqing University

Universidade Federal de São Carlos

Albert Einstein College of Medicine

Indian Institute of Technology Gandhinagar

Companhia Energética de Minas Gerais (Brazil)

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An event window based load monitoring technique for smart meters

Wilsun Xu Ming Dong Paulo C. M. Meira Walmir Freitas

The data collected by smart meters contain a lot of useful information. One potential use of the data is to track the energy consumptions and operating statuses of major home appliances. The results will enable homeowners to make sound decisions on how to save energy and how to participate in demand response programs. This paper presents a new method to breakdown the total power demand measured by a smart meter to those used by individual appliances. A unique feature of the proposed method is that it utilizes diverse signatures associated with the entire operating window of an appliance for identification. As a result, appliances with complicated middle process can be tracked. A novel appliance registration device and scheme is also proposed to automate the creation of appliance signature database and to eliminate the need of massive training before identification. The software and system have been developed and deployed to real houses in order to verify the proposed method [summary form only given].

Identification

Smart meter

Electricity meter

Signature (topology)

Feature (linguistics)

Demand Response

10.1109/pesgm.2014.6939005

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Citations (10)

Investigation of the islanding detection of induction generators

Paulo C. M. Meira Diogo Salles Ahda P. Grilo Walmir Freitas José Carlos de Melo Vieira Júnior

This paper provides an analysis of the performance of the under/over frequency and under/over voltage relays for islanding detection of squirrel-cage induction generators. This analysis is based on the nondetection zones, which are determined by extensive dynamic simulations using PSCAD/EMTDC. The presented nondetection zones are constructed considering different reactive power compensation and different detection times. Analysis on the nondetection zones is developed, and the influence of the required detection time and of the reactive power compensation on the nondetection zone is highlighted.

Islanding

10.1109/pes.2009.5275218

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Citations (8)

An Event Window Based Load Monitoring Technique for Smart Meters

IEEE Transactions on Smart Grid (2012)

Ming Dong Paulo C. M. Meira Wilsun Xu Walmir Freitas

Identification

Smart meter

Electricity meter

Demand Response

Signature (topology)

10.1109/tsg.2012.2185522

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Citations (139)

Software toolchain to enhance the management and integration of a sustainable campus model

Energy Informatics (2021)

Luiz C. P. da Silva Paulo C. M. Meira João Guilherme Ito Cypriano Hader Aguiar Dias Azzini Áthila Quaresma Santos

Abstract The aim of this article is to describe a novel ICT-centred methodology and software toolchain to enhance the management of a Smart Campus. The project will be implemented at the University of Campinas through a partnership between UNICAMP, CPFL (local Utility Distribution Company) and the University of Southern Denmark. This project was recently submitted to a strategic and priority call from the Brazilian Regulatory Agency (National Electric Energy Agency – ANEEL, acronym in Portuguese). The project integrates energy efficiency with research and development in distributed generation with an innovative IoT-based DMS energy management tool. These actions comply with the ISCN/GULF Sustainable Campus Chapter policies, signed by UNICAMP a few years ago. This paper is important because it will result in a replicable model for sustainable campuses, with a detailed step-by-step procedure covering local mini-grid EMS, IoT DMS, Mobility, real-time retrofitted efficiency and institutional energy governance.

Toolchain

Time line

10.1186/s42162-021-00154-8

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Citations (5)

A Comprehensive Assessment of PV Hosting Capacity on Low-Voltage Distribution Systems

2021 IEEE Power & Energy Society General Meeting (PESGM) (2019)

Ricardo Torquato Diogo Salles Caio Oriente Pereira Paulo C. M. Meira Walmir Freitas

Rooftop photovoltaic (PV) hosting capacity has become a concern for utilities in scenarios of high penetration due to impacts on voltage quality, such as over/undervoltage and voltage unbalance, and on equipment loading (conductors and transformers). This paper uses a simplified Monte Carlo-based method to analyze this issue, which is applied to 50,000 real low-voltage (LV) systems. Results show that it is possible to perform a risk-based analysis of hosting capacity by means of a lognormal distribution. Furthermore, overvoltage is found to be the most restrictive impact of PV integration; such information can help to guide utility actions to avoid technical violations. Extensive sensitivity studies are also presented to quantify the effects of several factors on the PV hosting capacity. The effects of number of customers with PV generators, PV power factor, voltage magnitude on the medium voltage system, load level, and conductor impedances are investigated. It is also shown that the hosting capacity for the entire utility can be estimated by performing simulations only on 1% of the circuits randomly selected. In addition to providing a comprehensive overview of PV hosting capacity in real systems, the method can be used by utilities to improve the management of LV systems with high PV penetration.

Overvoltage

10.1109/pesgm40551.2019.8973619

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Proposal of Connection Assessment Diagrams to Speed up the Studies of Hosting Capacity of PV Generators in MV Distribution Systems

2022 IEEE 49th Photovoltaics Specialists Conference (PVSC) (2022)

Pedro Augusto Viana Pato Fernanda C. L. Trindade Tiago R. Ricciardi Paulo C. M. Meira Walmir Freitas

In 2021, an average of 5.5 generators were connected every day in Brazilian MV distribution systems, and 98.9% of these generators are photovoltaic. The increased penetration of MV distributed generation has been accompanied by a rise in the workload of utility planning engineers, who must study and propose solutions to enable the connection of every MV generator. In this context, this work proposes a quick first-assessment approach to identify if the required connection can be approved or if further studies are required. The proposed approach focuses on the most restrictive steady-state technical impacts (overvoltage and overload) related to the increased penetration of MV distributed generators. The proposed approach consists of building connection assessment diagrams that can successfully speed up the required analyses and, consequently, decrease person-hour costs.

Overvoltage

10.1109/pvsc48317.2022.9938661

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Análise da filosofia de eliminação de defeitos em sistemas de distribuição considerando aspectos de confiabilidade e de qualidade de energia

Paulo C. M. Meira

A estrategia de eliminacao de defeitos (faltas) empregada pela concessionaria de distribuicao de energia eletrica tem grande impacto na confiabilidade e na qualidade de energia do sistema. Por exemplo, a politica de empregar religadores automaticos tipicamente tem um impacto benefico nos indices de confiabilidade baseados na frequencia e duracao das interrupcoes sustentadas mas, por outro lado, tem um impacto negativo nos indices de qualidade de energia baseados na frequencia de interrupcoes temporarias. Isto pode ser comprovado pelo numero de concessionarias ao redor do mundo que estao revendo suas estrategias de empregar religadores automaticos de forma generalizada conforme cresce a preocupacao do consumidor com a qualidade de energia. Somado a isso, tem-se o fato de o sistema estar sendo modernizado com o uso de mais equipamentos de monitoracao e automacao, como chaves seccionadoras automaticas, reles digitais, etc., dentro do contexto que se convencionou chamar redes inteligentes (smart grids). Portanto, atualmente, as estrategias de eliminacao de faltas e de melhoria dos indices de confiabilidade e de qualidade de energia em sistemas de distribuicao estao passando por modificacoes e tem atraido o interesse da comunidade cientifica e tecnologica. Este trabalho tem como objetivo desenvolver metodos para auxiliar na tomada de decisao sobre a estrategia de eliminacao de defeitos em sistemas de distribuicao via avaliacao integrada dos indices de confiabilidade e qualidade de energia. Os metodos empregados sao baseados no uso de registros historicos e de medicoes da concessionaria, no calculo de indices de confiabilidade e de qualidade de energia e em tecnicas de otimizacao e de tratamentos estatisticos. Para permitir o emprego dos metodos a sistemas reais, algoritmos classicos para analise de confiabilidade e qualidade de energia sao revisitados e reformulados de forma a permitir sua aplicacao a sistemas de grande porte em tempo de execucao factivel. Sao investigadas tambem formas de permitir a execucao paralela e distribuida dos principais algoritmos empregados nos metodos propostos. Abstract

10.47749/t/unicamp.2014.932287

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Algorithms for Operation Planning of Electric Distribution Networks

Journal of Control Automation and Electrical Systems (2013)

Ricardo A. de Araujo Paulo C. M. Meira Madson C. de Almeida

10.1007/s40313-013-0018-1

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Citations (4)

A Comprehensive Assessment of PV Hosting Capacity on Low-Voltage Distribution Systems

IEEE Transactions on Power Delivery (2018)

Ricardo Torquato Diogo Salles Caio Oriente Pereira Paulo C. M. Meira Walmir Freitas

Rooftop photovoltaic (PV) hosting capacity has become a concern for utilities in scenarios of high penetration due to impacts on voltage quality, such as over/undervoltage and voltage unbalance, and on equipment loading (conductors and transformers). This paper uses a simplified Monte Carlo-based method to analyze this issue, which is applied to 50 000 real low-voltage (LV) systems. Results show that it is possible to perform a risk-based analysis of hosting capacity by means of a lognormal distribution. Furthermore, overvoltage is found to be the most restrictive impact of PV integration; such information can help to guide utility actions to avoid technical violations. Extensive sensitivity studies are also presented to quantify the effects of several factors on the PV hosting capacity. The effects of number of customers with PV generators, PV power factor, voltage magnitude on the medium-voltage system, load level, and conductor impedances are investigated. It is also shown that the hosting capacity for the entire utility can be estimated by performing simulations only on 1% of the circuits randomly selected. In addition to providing a comprehensive overview of PV hosting capacity in real systems, the method can be used by utilities to improve the management of LV systems with high PV penetration.

Overvoltage

10.1109/tpwrd.2018.2798707

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Citations (209)

MÉTODO PARA ANÁLISE DE IMPACTOS DA MOBILIDADE ELÉTRICA EM REDES DE DISTRIBUIÇÃO E A RESPECTIVA APLICAÇÃO EM SISTEMAS BRASILEIROS

Congresso Brasileiro de Automática (2018)

Ricardo Torquato Diogo Salles José C. G. Andrade Paulo C. M. Meira Walmir Freitas

O aumento na adocao de veiculos eletricos (VEs) acarretou no desenvolvimento de uma intrincada infraestrutura de recarga em paises europeus, E.U.A. e China. Tal infraestrutura consiste em eletropostos do tipo lento, semirrapido e rapido, os quais apresentam caracteristicas eletricas e comportamentais especificas. As ferramentas de simulacao existentes atualmente nao sao suficientemente abrangentes para integrar as caracteristicas da recarga do VE, alem de nao modelarem detalhadamente os fatores comportamentais para investigar os impactos tecnicos em redes de distribuicao. Neste contexto, este artigo propoe um metodo de simulacao estocastico serie temporal (baseado no metodo de Monte Carlo) capaz de englobar as caracteristicas eletricas e comportamentais de todos os tipos de eletropostos existentes. Estudos extensivos em uma rede real brasileira destacaram os impactos individuais e combinados em ambas as redes primarias e secundarias. Adicionalmente, os resultados permitiram identificar qual tipo de eletroposto tem maior influencia sobre o perfil de tensao da rede. Este tipo de informacao pode ajudar as concessionarias a antecipar impactos tecnicos em seu sistema.

10.20906/cps/cba2018-0294

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