Hierarchical state estimation

Cutsem, Th. Van; Horward, J.L.; Ribbens-Pavella, M.; El-Fattah, Yousri M.

doi:10.1016/0142-0615(80)90012-5

Cited by 27 publications

(4 citation statements)

References 3 publications

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“…After the input and output ports are defined, the next step is to define the service itself. We use an open source system called SADI (Semantic Automated Discovery and Integration) 1 to generate the service stub code essential for wrapping a state estimator as a service. SADI is a framework for discovery of, and interoperability between, distributed data and analytical resources.…”

Section: List 2 Semantic Definition Of the Data Typementioning

confidence: 99%

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A Service Oriented Architecture for Exploring High Performance Distributed Power Models

Liu

Chase

Gorton

2012

Service-Oriented Computing

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Power grids are increasingly incorporating high quality, high throughput sensor devices inside power distribution networks. These devices are driving an unprecedented increase in the volume and rate of available information. The real-time requirements for handling this data are beyond the capacity of conventional power models running in central utilities. Hence, we are exploring distributed power models deployed at the regional scale. The connection of these models for a larger geographic region is supported by a distributed system architecture. This architecture is built in a service oriented style, whereby distributed power models running on high performance clusters are exposed as services. Each service is semantically annotated and therefore can be discovered through a service catalog and composed into workflows. The overall architecture has been implemented as an integrated workflow environment useful for power researchers to explore newly developed distributed power models.

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Section: List 2 Semantic Definition Of the Data Typementioning

confidence: 99%

“…Many researchers have worked on hierarchical or distributed state estimation, such as [1][2][3][4]. Their work is mainly focused on the distributed state estimation algorithms and their efficiencies.…”

Section: Introductionmentioning

confidence: 99%

A Service Oriented Architecture for Exploring High Performance Distributed Power Models

Liu

Chase

Gorton

2012

Service-Oriented Computing

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“…[11] and "Hierarchical state estimation" by Van Cutsem, T.H. Horward J.L., Ribbens-Pavella, M., and EL-Fattah,Y.M, [12].…”

Section: Introductionmentioning

confidence: 99%

Improved Power System State Estimation by Selected Node Technique

Udupa

Kamath

2015

BJMCS

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The state estimator is integral part of any Energy Management System. First and foremost the state estimation must be executed followed by system control, tie-line control, economic dispatch, security analysis etc. Most importantly the system voltage controls and the tie-line power controls must be handled within milliseconds to a few seconds. Obviously, in order to meet the requirements, state estimator should be able to process the results very fast. Due to the kind of complexity associated with the power system it's very difficult to carry out the estimation in very short time. The author, H.N. Udupa & Dr. H.R. Kamath [1,2] had suggested a new innovative method to solve this complex problem in desired time without compromising on the results accuracy. In the said new approach, State Estimations are computed at each Node level. This paper presents a unique technique to carried-out the State Estimation at selected Node Areas instead of every Node Area. As the network is interconnected, by selecting suitable Node Area it is possible to estimate all the state variables of the system. The method of selecting the Node Area is detailed in this paper. A node/bus along with its connected nodes/buses is called "Node Area". By computing the SE only at Selected Nodes reduces the complexity of the system and also results in huge cost saving. The Node Area level of state

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“…Seu desenvolvimento foi motivado principalmente pelo surgimento de sistemas interconectados de grande escala nos quais modelos tradicionais de estimação de estado enfrentavam sérias restrições para aplicabilidade (EL-FATTAH; RIBBENS-PAVELLA, 1976). Os benefícios diretos decorrentes do uso de modelos multiárea, particularmente enfatizados nos primeiros trabalhos sobre o assunto, são a redução da dimensionalidade do problema global, a redução do tráfego de dados interárea e a diminuição do tempo de processamento (VAN CUTSEM et al, 1980).…”

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Modelagem tempo real de sistemas de energia elétrica considerando sincrofasores e estimação de estado descentralizada

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Hierarchical state estimation

Cited by 27 publications

References 3 publications

A Service Oriented Architecture for Exploring High Performance Distributed Power Models

A Service Oriented Architecture for Exploring High Performance Distributed Power Models

Improved Power System State Estimation by Selected Node Technique

Modelagem tempo real de sistemas de energia elétrica considerando sincrofasores e estimação de estado descentralizada

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