Integrated Energy Resource Management Systems: Meeting the Information Needs of Evolving Markets

2013 ◽  
Author(s):  
John C. Tysseling ◽  
Michael E. Crawford
Keyword(s):  
Information Needs ◽  
Distribution Systems ◽  
Electric Energy ◽  
Energy Resource ◽  
Energy Market ◽  
Information Industry ◽  
Market Participants ◽  
Mcgill University ◽  
Complex Integration ◽  
Systems Requirements

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Advanced information systems requirements are identified to achieve energy market efficiencies sought by regulators and market participants. Natural gas and electric energy distribution systems dependencies on the increasingly complex integration of information relating to scheduling, dispatch and operations monitoring are discussed.

scholarly journals Analysis of Various Options for Balancing Power Systems’ Peak Load

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 513
Author(s):  
Henryk Majchrzak ◽  
Michał Kozioł
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Peak Load ◽  
Electric Energy ◽  
End Users ◽  
Energy Market ◽  
Market Participants ◽  
Continuous Energy ◽  
Storage Solutions ◽  
Transmission And Distribution

The balancing of the power of the Polish Power System (KSE) is a key element in ensuring the safety of electric energy supplies to end users. This article presents an analysis of the power demand in power systems (PS), with emphasis on the typical power variability both in subsequent hours of the day and on particular days and in particular months each year. The methodology for calculating the costs of electric energy undelivered to the end users and the amount of these costs for KSE is presented. Different possibilities have been analyzed for balancing power systems’ peak load and assumptions have been formulated for calculating the amount of the related costs. On this basis, a comparative analysis has been made of the possibility to balance peak load using operators’ system services, trans-border connections, and various energy storage solutions. On the basis of the obtained results, optimal tools have been proposed for market-based influence from transmission and distribution system operators on energy market participants’ behaviors in order to ensure the power systems’ operating safety and continuous energy deliveries to end users.

Unstructured English Queries: How Users Request Information

2013 ◽  
Author(s):  
Carol A. Keene
Keyword(s):  
Information Needs ◽  
Query Languages ◽  
Boolean Logic ◽  
Information Industry ◽  
University Of Colorado ◽  
Needed Information ◽  
Mcgill University ◽  
On Line ◽  
Express Information ◽  
The University

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Presented with the task of locating needed information in on-line, full-text documentation, users must express queries in the language of the retrieval system. Many of these query languages are based on Boolean logic or restricted natural language syntax, and users find it difficult to express information needs. Experiments conducted at the University of Colorado asked participants to enter English queries to locate information needed to solve problems ranging from very specific to very general ones. No restrictions were placed upon grammar or vocabulary. The collected queries were very short, telegraphic in style, used few verbs, and contained frequently occurring terms from stored vocabulary. There were no statistically significant differences in query contents based upon a participant's knowledge of the topic or English communication skills.

Multimedia: Myths and Realities

2013 ◽  
Author(s):  
Andy Large ◽  
Jamshid Behesti ◽  
Alain Breuleux ◽  
Andre Renaud
Keyword(s):  
Educational Context ◽  
User Group ◽  
Information Industry ◽  
Primary School Students ◽  
School Students ◽  
Still Images ◽  
Information Product ◽  
Mcgill University ◽  
The Impact

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Multimedia products are now widely available on a variety of platforms, and there is a widespread assumption that the addition of still images, animation and sound to text will enhance any information product. The research reported in this paper investigates such claims for multimedia in an educational context and for a specific user group: grad-six primary school students. The students' ability to recall, make inferences from, and comprehend articles presented to them in print, as text on screen, and in mutlimedia format has been mesured. The findings to date suggest that the impact of multimedia is subtle, and that generalisations about the effectiveness of multimedia, at least with children in an educational context, should be employed cautionously. The long-term goal is to identify design criteria which can be employed in the production of multimedia products for schools.

scholarly journals Electric systems failures produced by CG lightning in Eastern Amazonia

2014 ◽  
Vol 29 (spe) ◽  
pp. 31-40 ◽  
Author(s):  
Ana Paula Paes dos Santos ◽  
José Ricardo Santos de Souza ◽  
Everaldo Barreiros de Souza ◽  
Alexandre de Melo Casseb do Carmo ◽  
Wanda Maria do Nascimento Ribeiro
Keyword(s):  
Energy Distribution ◽  
Transmission Lines ◽  
Distribution Systems ◽  
Electric Energy ◽  
Electricity Distribution ◽  
Power Outages ◽  
Lightning Strikes ◽  
Area Of Interest ◽  
The Pacific ◽  
Cg Lightning

Operational records of power outages of the electric energy distribution systems in eastern Amazonia presented a large number of events attributed to lightning strikes, during the 2006 to 2009 period. The regional electricity concessionary data were compared to actual lightning observations made by SIPAM's LDN system, over two areas where operational sub systems of transmission lines are installed. Statistical relations were drawn between the monthly lightning occurrence density and the number of power outages of the electric systems for both areas studied. The results showed that, although with some delays between these variables peaks, the number of power disruptions has a tendency to follow the behavior of the lightning occurrence densities variations. The numerical correlations were positive and may be useful to the transmission lines maintenance crews at least for the Belém-Castanhal electricity distribution sub system. Evidence was found, that the SST's over certain areas of the Pacific and Atlantic Oceans, influence convection over the area of interest, and may help to prognosticate the periods of intense electric storms, requiring repair readiness for the regional electric systems.

scholarly journals From Hierarchical Control to Flexible Interactive Electricity Services: A Path to Decarbonization

2021 ◽  
Vol 15 ◽  
pp. 1558-1570
Author(s):  
Marija D. Ilic ◽  
Pedro M. S. Carvalho
Keyword(s):  
Power Flow ◽  
Distribution Systems ◽  
Reactive Power ◽  
Hierarchical Control ◽  
Electric Energy ◽  
Specific Model ◽  
Net Energy ◽  
Primary Control ◽  
Interaction Variables ◽  
And Control

We propose to conceptualise electric energy systems as complex dynamical systems using physically intuitive multilayered energy modelling as the basis for systematic diverse technology integration, and control in on-line operations. It is shown that such modelling exhibits unique structure which comes from the conservation of instantaneous power (P) and of instantaneous reactive power ( _Q), (interaction variables (intVar)) at the interfaces of subsystems. The intVars are used as a means to model and control the interactive zoomed-out inter-modular (inter-area, inter-component) system dynamics. Control co-design can then be pursued using these models so that the primary control shapes intVars of its own module by using its own lowlevel detailed technology-specific model and intVar info exchange with the neighbours. As a result, we describe how the proposed approach can be used to support orderly evolution from today’s hierarchical control to a platform enabling flexible interactive protocols for electricity services. The potential for practical use of the proposed concepts is far-reaching and transparent. All that needs to be conceived is that intVar characterising any intelligent Balancing Authority (iBA) is a generalisation of today’s Area Control Error (ACE) characterising net energy balance of a Balancing Authority (BA). An iBA can be any subsystem with its own sub-objectives, such as distributed energy resources (DERs) comprising customers and grid forming microgrids; distribution systems; transmission systems; Independent System Operators (ISOs); and, ultimately, electric energy markets within large interconnection. Several industry problems are described as particular sub-problems of general interactive electricity services. These formulations help one compare models and assumptions used as part of current solutions, and propose enhanced solutions. Most generally, feasibility and stability conditions can be introduced for ensuring feasible power flow solutions, regulated frequency and voltage and orderly power exchange across the iBAs.

scholarly journals Net demand short-term forecasting in a distribution substation with PV power generation

2020 ◽  
Vol 152 ◽  
pp. 01001 ◽  
Author(s):  
Eduardo Garcia-Garrido ◽  
Montserrat Mendoza-Villena ◽  
Pedro M. Lara-Santillan ◽  
Enrique Zorzano-Alba ◽  
Alberto Falces
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Power Distribution ◽  
Distribution Systems ◽  
Electric Energy ◽  
Optimal Operation ◽  
Electric Energy Consumption ◽  
Short Term Forecasting ◽  
Artificial Neural Network Ann ◽  
Pv Power Generation

The integration of renewable energies, specifically solar energy, in electric distribution systems is increasingly common. For an optimal operation, it is very important to forecast the final net demand of the power distribution network, considering the variability of solar energy combined with the variability of the electric energy consumption habits of population. This paper presents the methodology followed to forecast the net demand in a power distribution substation. Two approaches are considered, the net demand direct prediction, and the indirect prediction with the forecasts of PV power generation and load demand. Artificial Neural Network (ANN) based models and autoregressive models with exogenous variables (ARX) are used to predict the net demand, directly and indirectly, for the 24 hours of the day-ahead. The methodology is applied to a medium voltage distribution substation and the direct and indirect forecasts are compared.

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