scholarly journals Smart grid and ripple control technologies in energy and road construction

Author(s):  
V Smirnov ◽  
N Danilochkina ◽  
R Shangaraev ◽  
A Delyatitskaya
2019 ◽  
Vol 18 ◽  
pp. 100210
Author(s):  
Oliver Selinger-Lutz ◽  
Robert Brandalik ◽  
Ismael Katz ◽  
Raphael Hollinger
Keyword(s):  

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 548-568
Author(s):  
Olufemi A. Omitaomu ◽  
Haoran Niu

The smart grid is enabling the collection of massive amounts of high-dimensional and multi-type data about the electric power grid operations, by integrating advanced metering infrastructure, control technologies, and communication technologies. However, the traditional modeling, optimization, and control technologies have many limitations in processing the data; thus, the applications of artificial intelligence (AI) techniques in the smart grid are becoming more apparent. This survey presents a structured review of the existing research into some common AI techniques applied to load forecasting, power grid stability assessment, faults detection, and security problems in the smart grid and power systems. It also provides further research challenges for applying AI technologies to realize truly smart grid systems. Finally, this survey presents opportunities of applying AI to smart grid problems. The paper concludes that the applications of AI techniques can enhance and improve the reliability and resilience of smart grid systems.


2019 ◽  
Author(s):  
Marcel Roux ◽  
Mark Apperley ◽  
MJ Booysen

Recent advances in smart grid technology enable new approaches to address the problem of load control for domestic water heating. Since water heaters store energy, they are well-suited to load management. However, existing approaches have focused on the electrical supply side, ignoring the obvious link between the user and the grid: individual hot water consumption patterns. This paper proposes a load spreading approach in which water heaters compete for access to the heating medium. The proposed smart grid solution takes grid load limits, real-time temperature measurements, water usage patterns, individual user comfort, and heater meta-data into consideration. The scheduler only turns on the heaters with the highest level of need, but limits the number of on heaters to ensure that the grid load stays below a set limit for a set time. The method is evaluated by simulation against various heater set temperature levels, and for various load limits, and compared with ripple control and actual consumption measured in a field trial of 34 water heaters. The proposed algorithm reduces the load from 62kW to 20, 30, 40, and 50kW (vs. 106kW for full ripple control). The resulting number of unwanted cold events is fewer than for ripple control, and only slightly more than no control, while reducing the total energy by 14% from a user-optimised natural experiment.


2018 ◽  
Vol 7 (3) ◽  
pp. 1514
Author(s):  
S Surender Reddy

This paper presents a comprehensive review of advanced control and communication technologies of smart grid (SG). Various func-tions/features of SG include real-time pricing, voltage/VAr control, frequency control, power quality, demand response management, distri-bution system restoration, and reconfiguration, distributed generation dispatch and storage. There is a strong requirement to control these functions, as well as to communicate within themselves. Suppose, if two-way communication is not possible then it cannot be considered as a function of SG. When trying to track or monitor a function, one must be able to control, command, and communicate with it. In order to control observation ability and measure of some type of numerical quantity that is obtained from a real time measuring device being moni-tored is necessary. Some of these measurable quantities are: overvoltage limits, security measures and contingency analysis. This paper addresses various challenges of control and communication techniques of SG.  


2013 ◽  
Vol 10 (4) ◽  
pp. 1799-1822 ◽  
Author(s):  
Gregor Rohbogner ◽  
Ulf Hahnel ◽  
Pascal Benoit ◽  
Simon Fey

Multi-agent systems are a subject of continuously increasing interest in applied technical sciences. Smart grids are one evolving field of application. Numerous smart grid projects with various interpretations of multi-agent systems as new control concept arose in the last decade. Although several theoretical definitions of the term ?agent? exist, there is a lack of practical understanding that might be improved by clearly distinguishing the agent technologies from other state-of-the-art control technologies. In this paper we clarify the differences between controllers, optimizers, learning systems, and agents. Further, we review most recent smart grid projects, and contrast their interpretations with our understanding of agents and multi-agent systems. We point out that multi-agent systems applied in the smart grid can add value when they are understood as fully distributed networks of control entities embedded in dynamic grid environments; able to operate in a cooperative manner and to automatically (re-)configure themselves.


2003 ◽  
pp. 68-80
Author(s):  
A. Dementiev ◽  
A. Zolotareva ◽  
A. Reus

The most important measures stimulating the increase of efficiency and effectiveness of budget expenditures on road construction are the improvement of pricing mechanisms and increasing efficiency of the procedures of government purchases of goods, works and services. The paper includes the analysis of main problems that arise in the process of government purchases and construction pricing with the reference to budget expenditure on road construction. It includes the review and analysis of international experience and possible measures of increasing the efficiency and effectiveness of government purchases and (road) construction pricing in Russia.


2011 ◽  
pp. 19-33
Author(s):  
A. Oleinik

The article deals with the issues of political and economic power as well as their constellation on the market. The theory of public choice and the theory of public contract are confronted with an approach centered on the power triad. If structured in the power triad, interactions among states representatives, businesses with structural advantages and businesses without structural advantages allow capturing administrative rents. The political power of the ruling elites coexists with economic power of certain members of the business community. The situation in the oil and gas industry, the retail trade and the road construction and operation industry in Russia illustrates key moments in the proposed analysis.


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