State Estimation in Two Time Scales for Smart Distribution Systems

Gómez-Expósito, Antonio; Gómez-Quiles, Catalina; Džafić, Izudin

doi:10.1109/tsg.2014.2335611

Cited by 90 publications

(47 citation statements)

References 23 publications

(21 reference statements)

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“…The first category comprises readings from the SCADA system as well as pseudo-measurements. Legacy measurements are typically obtained at time intervals of T = 15 minutes 1 [15] and include: squared voltage magnitudes, |V m | 2 for m ∈ V; power flows at the branches, given by S m,l = P m,l + jQ m,l = V m I * m,l for (m, l) ∈ B ; power injections, given by S m = P m + jQ m = V m I * m for m ∈ V and squared branch current magnitudes, |I m,l | 2 for (m, l) ∈ B. In contrast, the sampling period of µPMUs t = T /q is smaller, typically on the order of few milliseconds [26], and provide the DG operator with updated snapshots of complex bus voltages, V m = {V m } + j {V m } for m ∈ V. Notice that legacy measurements are non-linear functions of the system state, whereas µPMU measurements turn out to be linear ones.…”

Section: System Modelmentioning

confidence: 99%

“…Note that the latter can only rely on the observations coming from a reduced number of µPMUs and the possibly available zero power injections. 1 With respect to system observability, SCADA observations and pseudomeasurements are sufficiently available every 15 minutes [15].…”

Section: IIImentioning

confidence: 99%

“…By using such pseudomeasurements in conjunction with actual SCADA readings, (slightly) redundant measurement sets can be constructed. In [15] for instance, the authors investigate a two-time scale SE based on WLS. In particular, separating the information (SCADA, pseudomeasurements) according to their availability in time, the authors formulate the SE problem in a two-time scale fashion and investigate the efficiency of the resulting scheme under a diversity of load patterns.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A regularized state estimation scheme for a robust monitoring of the distribution grid

Tsitsimelis

Antón-Haro

2020

International Journal of Electrical Power & Energy Systems

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In this paper, we propose a regularized state estimation (SE) scheme for the distribution grid. The ultimate goal is to track accurately the system state at a faster time scale according to the requirements of the new operational environment. The SE algorithm operates at two different time scales in which the set of available measurements are different. At the main time instants (every 15 minutes) the set of observations comprises SCADA measurements, pseudomeasurements and micro Phasor Measurement Units (µPMUs). In this case, we resort to a Regularized version of the Normal Equations based SE (R-NESE). In the intermediate time instants, only a reduced number of µPMU measurements is available. To circumvent observability issues, we exploit the fact that the voltage drop in adjacent buses is limited and, on that basis, a regularized weighted total variation estimation (WTVSE) problem is formulated. Then, the impact of in-line voltage regulators (IVLRs) is explicitly taken into consideration and that, forces us to decompose and solve the original SE problem for a number of smaller regions (D-WTVSE). The latter can be iteratively solved by resorting to the Alternating Direction Method of Multipliers (ADMM). Complementarily, we also present a µPMU placement method (µPP) in order to improve the conditioning of the R-NESE problem. This problem can be posed as a mixed integer semidefinite programming model (MISDP) and, thus, can be efficiently solved. The performance of the proposed scheme is numerically assessed on (mostly) a 95-bus distribution system for a number of realistic conditions of noise, load and photovoltaic generation profiles. A number of benchmarks are provided, as well.

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Section: System Modelmentioning

confidence: 99%

Section: IIImentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A regularized state estimation scheme for a robust monitoring of the distribution grid

Tsitsimelis

Antón-Haro

2020

International Journal of Electrical Power & Energy Systems

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“…The problems brought by it ultimately improve the accuracy of state estimation. In reference [7], the author used the curve fitting method to make up for the data of the measurement system with low data refresh frequency, but the data accuracy needs to be improved. In reference [8], the author mainly considered the impact of PMU data on the accuracy of state estimation, but did not mention the data difference between different systems.…”

Section: Introductionmentioning

confidence: 99%

State Estimation of Distribution Network Considering Data Compatibility

Wu¹,

Li²

2020

EPE

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Considering that the measurement devices of the distribution network are becoming more and more abundant, on the basis of the traditional Supervisory Control And Data Acquisition (SCADA) measurement system, Phasor measurement unit (PMU) devices are also gradually applied to the distribution network. So when estimating the state of the distribution network, the above two devices need to be used. However, because the data of different measurement systems are different, it is necessary to balance this difference so that the data of different systems can be compatible to achieve the purpose of effective utilization of the estimated power distribution state. To this end, this paper starts with three aspects of data accuracy of the two measurement systems, data time section and data refresh frequency to eliminate the differences between system data, and then considers the actual situation of the three-phase asymmetry of the distribution network. The three-phase state estimation equations are constructed by the branch current method, and finally the state estimation results are solved by the weighted least square method.

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“…Interesse crescente de governos e concessionárias em desenvolver e implantar as chamadas redes inteligentes (ou Smart Grids) [6,91];…”

Section: Conclusõesunclassified

Metodologia para estimação de estado trifásica em sistemas de distribuição incorporando medidas SCADA, virtuais, pseudo-medidas e medidas fasoriais sincronizadas

Fantin¹

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AgradecimentosAgradeço, A Deus, sem ele nada teria sentindo na minha vida. Aos meus pais, Cézar e Ayrna e minhas irmãs, Luana e Caroline, sem o apoio e o amor de vocês não teria conseguido vencer mais esta etapa na minha vida. Ao Tiago Henrique, meu afilhado, alegria da minha vida.Ao Profº Dr. João Bosco Augusto London Jr. meu muito obrigada, pela paciência, orientação e amizade. O senhor me ensinou muito, um exemplo de profissional, um espelho em como devo ser, sou muito grata.Ao meu noivo, Jullian Zan, que me conforta, apoia, encoraja em todos os momentos da minha vida, um verdadeiro porto seguro em minha vida.A todos os meus familiares, que sempre estiveram do meu lado, me incentivando e me apoiando, em especial a minha avó Antonina, por me ensinar a nunca fraquejar e apoiar sempre em Deus e a minha Madrinha Dra. Ayrdes que além de me apoiar e incentivar a minha idaà São Carlos, sempre foi um exemplo de persistência na luta por seus sonhos.Aos amigos de Cuiabá que foram rumo a São Carlos, percorrer o mesmo caminho que eu. Em especial, a Aline Nonato que esteve ao meu lado em um dos momentos mais difíceis da minha vida pessoal, que fez de tudo para o meu bem e principalmente me ensinou e me mostrou o verdadeiro sentido da fé; e a Thais Kempner que esteve comigo desde o início do mestrado sempre se fazendo presente com suas conversas, conselhos e amizade;Aos amigos e professores do LACO (Laboratório de análise computacional), que me apoiaram direta ou indiretamente, para realização do meu doutorado. Em especial, ao Julio Massigman, por não medir esforços colaborando comigo para a realização desta pesquisa e a Camila Vieira e ao Leandro Marques pelos momentos compartilhados.As amizades feitas em São Carlos, em especial ao Fabio Marcelino, Marcelo Santana, Marina Carvalho, Tatiane Fernandes, Luciana Nicacio, Renan Camurça, Vinicius Moro, Thayana Alves, Talita Conte, obrigada por tudo levarei vocês pra sempre em meu coração. As amigas e amigos de Cuiabá, que mesmo eu estando distante, estiveram sempre por perto me dando forças, em especialà Camila, Jéssica e Vivian. Aos professores da Universidade Federal do Mato Grosso, que me abriram caminhos nunca antes pensados e me fizeram chegar até aqui com seus ensinamentos. Em especial aos professores Dr. Arnulfo Vasconcellos, Dr. Bismarck Castillo, Dr. Fernando Nogueira, Dr. Mário Kawaphara obrigada pelos ensinamentos dados com amor, pelas conversas nos corredores nos apoiando e nos aconselhando. Hoje, os senhores são meus exemplos do que ser. Além destes, agradeço também ao professor Dr. Fabricio Santilio por me apoiar no retorno para Cuiabá, que com seus v conselhos me fez erguer a cabeça e seguir em frente. Agradeçoà Fundação de Amparoà Pesquisa do Estado de São Paulo (FAPESP) pelo suporte financeiro concedido ao processo 2012/22624-3 para a realização da pesquisa. Agradeço ainda ao LACO, da Escola de Engenharia de São Carlos (EESC-USP) pela infraestrutura proporcionada, assim como aos funcionários do Departamento de Engenharia Elétrica e de Computação, em especialà Ve...

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State Estimation in Two Time Scales for Smart Distribution Systems

Cited by 90 publications

References 23 publications

A regularized state estimation scheme for a robust monitoring of the distribution grid

A regularized state estimation scheme for a robust monitoring of the distribution grid

State Estimation of Distribution Network Considering Data Compatibility

Metodologia para estimação de estado trifásica em sistemas de distribuição incorporando medidas SCADA, virtuais, pseudo-medidas e medidas fasoriais sincronizadas

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