Deployment of real-time state estimator and load flow in BC Hydro DMS - challenges and opportunities

2013 ◽  
Author(s):  
Djordje Atanackovic ◽  
Valentina Dabic
Keyword(s):  
Real Time ◽  
Load Flow ◽  
State Estimator ◽  
Challenges And Opportunities

scholarly journals Full-Observable Three-Phase State Estimation Algorithm Applied to Electric Distribution Grids

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1327 ◽  
Author(s):  
Thiago Soares ◽  
Ubiratan Bezerra ◽  
Maria Tostes
Keyword(s):  
State Estimation ◽  
Real Time ◽  
Distribution Systems ◽  
Phase State ◽  
Reactive Power ◽  
Estimation Algorithm ◽  
Load Flow ◽  
Electrical Network ◽  
The Real ◽  
Three Phase

This paper proposes the development of a three-phase state estimation algorithm, which ensures complete observability for the electric network and a low investment cost for application in typical electric power distribution systems, which usually exhibit low levels of supervision facilities and measurement redundancy. Using the customers´ energy bills to calculate average demands, a three-phase load flow algorithm is run to generate pseudo-measurements of voltage magnitudes, active and reactive power injections, as well as current injections which are used to ensure the electrical network is full-observable, even with measurements available at only one point, the substation-feeder coupling point. The estimation process begins with a load flow solution for the customers´ average demand and uses an adjustment mechanism to track the real-time operating state to calculate the pseudo-measurements successively. Besides estimating the real-time operation state the proposed methodology also generates nontechnical losses estimation for each operation state. The effectiveness of the state estimation procedure is demonstrated by simulation results obtained for the IEEE 13-bus test network and for a real urban feeder.

Methodology for Analysis of Energy Balance using State Estimator and Real-Time Measurementas

2018 ◽  
Author(s):  
Angelica Felipe da Silva ◽  
Wagner Seizo Wokama ◽  
Daniel Pinheiro Bernardon ◽  
Daniel Sperb Porto ◽  
Alzenira da Rosa Abaide ◽  
...  
Keyword(s):  
Energy Balance ◽  
Real Time ◽  
State Estimator

scholarly journals Secure Multiparty Computation and Trusted Hardware: Examining Adoption Challenges and Opportunities

2019 ◽  
Vol 2019 ◽  
pp. 1-28 ◽  
Author(s):  
Joseph I. Choi ◽  
Kevin R. B. Butler
Keyword(s):  
Real Time ◽  
Privacy Preserving ◽  
Secure Multiparty Computation ◽  
Multiparty Computation ◽  
Garbled Circuits ◽  
Challenges And Opportunities ◽  
Trusted Hardware ◽  
History Of

When two or more parties need to compute a common result while safeguarding their sensitive inputs, they use secure multiparty computation (SMC) techniques such as garbled circuits. The traditional enabler of SMC is cryptography, but the significant number of cryptographic operations required results in these techniques being impractical for most real-time, online computations. Trusted execution environments (TEEs) provide hardware-enforced isolation of code and data in use, making them promising candidates for making SMC more tractable. This paper revisits the history of improvements to SMC over the years and considers the possibility of coupling trusted hardware with SMC. This paper also addresses three open challenges: (1) defeating malicious adversaries, (2) mobile-friendly TEE-supported SMC, and (3) a more general coupling of trusted hardware and privacy-preserving computation.

scholarly journals Project Atlantis

2015 ◽  
Vol 137 (03) ◽  
pp. S4-S7
Author(s):  
Matthew A. Franchek
Keyword(s):  
Real Time ◽  
Oil And Gas ◽  
Gas Production ◽  
Bubble Flow ◽  
Oil And Gas Production ◽  
Transient Transport ◽  
University Of Houston ◽  
Time Optimization ◽  
Challenges And Opportunities ◽  
Real Time Optimization

This paper explores the reach and use of subsea engineering. Subsea engineering presents many new challenges and opportunities for engineers from any discipline. The fundamental engineering challenges facing today’s ultra-deepwater oil and gas production reside under a new engineering discipline, the subsea engineer. Designing subsea systems for 30-year-long controllability, safety, maintenance, and real-time optimization are critical issues and present an open-ended problem. Safety is absolutely a primary focus on any subsea production system design. There must be multiple independent safety paths in place to isolate a producing well. The most common subsea safety system is located within the well. Pioneering work performed at the university of Houston provided mathematical relationships to predict the flow regime given gas and liquid velocities, including dispersed bubble flow, elongated bubble flow, slug flow, stratified flow, etc. There is an unexplored coupling between the transient multiphase flow and the heat transfer. The field of modeling multiphase transient transport is important to the subsea architecture design and real-time optimization of subsea production.

Integrating Big Data in “e-Oman”: opportunities and challenges

Info ◽  
2016 ◽  
Vol 18 (5) ◽  
pp. 79-97 ◽  
Author(s):  
Stuti Saxena ◽  
Sujeet Kumar Sharma
Keyword(s):  
Big Data ◽  
Real Time ◽  
Design Methodology ◽  
Public Services ◽  
Content Type ◽  
Challenges And Opportunities ◽  
The Government ◽  
Time Basis ◽  
Privacy And Confidentiality ◽  
Practical Implications

Purpose This paper aims to integrate Big Data in e-government in Oman, also known as “e-Oman”, wherein Big Data might be better harnessed to tackle real-time challenges. Design/methodology/approach Besides a description of the concepts of e-government and Big Data in general, the paper underscores the dimensions of “e-Oman”. Following a qualitative approach, the paper asserts how integration of Big Data in “e-Oman” may be useful by invoking examples from four short case studies across different sectors. Findings The paper supports the integration of “e-Oman” and Big Data wherein besides providing smooth public services, the government is encouraged to forge inter- and intra-ministerial collaboration and public-private partnership. The paper probes through the challenges and opportunities in effecting this integration. Practical implications The paper provides a platform for the policymakers to conceive of a synchronized programme for integrating “e-Oman” and the Big Data generated by it. This integration would go a long way in building upon the economy of Oman, besides providing better public services to the individuals and businesses on a real-time basis. Social implications The paper does throw light on the issues of privacy and confidentiality of data available with the government. There are challenges of cybercrime as well. Therefore, the paper posits that a robust fool-proof infrastructure should be instituted by the government for effecting integration of e-government and Big Data. Originality/value This paper seeks to fill the gap in extant literature which remains scant on the integration of e-government with Big Data. This is especially true in the case of Oman where not a single study has been presented to probe this issue. Given that “e-Oman” is expanding its scope over the years, this paper foresees the concomitant opportunities and challenges in the integration of Big Data in “e-Oman”.

An Overview of Drought Monitoring and Prediction Systems at Regional and Global Scales

2017 ◽  
Vol 98 (9) ◽  
pp. 1879-1896 ◽  
Author(s):  
Zengchao Hao ◽  
Xing Yuan ◽  
Youlong Xia ◽  
Fanghua Hao ◽  
Vijay P. Singh
Keyword(s):  
Real Time ◽  
Land Surface ◽  
Information Dissemination ◽  
Data Sources ◽  
Drought Monitoring ◽  
Severe Drought ◽  
Drought Prediction ◽  
Multiple Data ◽  
Challenges And Opportunities ◽  
Prediction Systems

Abstract In past decades, severe drought events have struck different regions around the world, leading to huge losses to a wide array of environmental and societal sectors. Because of wide impacts of drought, it is of critical importance to monitor drought in near–real time and provide early warning. This article provides an overview of the development of drought monitoring and prediction systems (DMAPS) at regional and global scales. After introducing drought indicators, drought monitoring (based on different data sources and tools) is summarized, along with an introduction of statistical and dynamical drought prediction approaches. The current progress of the development and implementation of DMAPS with various indicators at different temporal and/or spatial resolutions, based on the land surface modeling, remote sensing, and seasonal climate forecast, at the regional and global scales is then reviewed. Advances in drought monitoring with multiple data sources and tools and prediction from multimodel ensembles are highlighted. Also highlighted are challenges and opportunities, including near-real-time and long-term data products, indicator linkage to impacts, prediction skill improvement, and information dissemination/communication. The review of different components of these systems will provide useful guidelines and insights for the future development of effective DMAPS to aid drought modeling and management.

Justification of the AEP Real Time Load Flow Project

1973 ◽  
Vol PAS-92 (5) ◽  
pp. 1501-1509 ◽  
Author(s):  
J. Dopazo ◽  
S Ehrmann ◽  
O. Klitin ◽  
A. Sasson
Keyword(s):  
Real Time ◽  
Load Flow
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