scholarly journals Information system based on the mathematical model of the EPS

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Maksat N. Kalimoldayev ◽  
Assel A. Abdildayeva ◽  
Orken Zh. Mamyrbayev ◽  
Maksat Akhmetzhanov

Abstract This article discusses the structure of an information system, the mathematical and information models of electric power systems. Currently, the major application areas include system relaying data communication systems and automation, automated dispatching and technological management of electric power facilities, as well as computer-aided calculation of energy resources. Automatic control of excitation (ARV) synchronous machines is one of the most effective ways to ensure the stability of power systems. However, the variety of possible options and modes even in a single grid pose significant obstacles to the development of the best means of ensuring sustainability. Thus, the use of ARVs to ensure stability in some cases may not be sufficient. Therefore, there is a need to develop an information system based on a mathematical model.

The article dwells upon optimizing, reduction of losses in, and improving the stability of grids by implementing devices that affect the parameters and power flows in a grid. State-of-the-art technology for better control is crucial for the development of electric power systems. FACTS technologies or flexible alternating current transmission systems, essentially transform the grid from a passive electricity transport into a device that actively controls the grid parameters. The article analyzes the development of a 500/220/110 kV grid that uses parameter-affective devices: SVC, BSK, LCD. Steady-state parameters, active power losses, and electric power losses were calculated for a year before and after the devices were deployed. Each device was therefore analyzed for effectiveness. The parameters of the SVC-equipped 500/220/110 kV grid were calculated for emergency operation with the 500 kV line being offline. Thus, the paper also analyzes the emergency performance of the SVC.


Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1442 ◽  
Author(s):  
Chun-Hung Liu ◽  
Jyh-Cherng Gu

Distributed energy resources (DERs) are being widely interconnected to electrical power grids. The dispersed and intermittent generational mixes bring technical and economic challenges to the power systems in terms of stability, reliability, and interoperability. In practice, most of the communication technologies in DER are provided by proprietary communication protocols, which are not designed for the prevention of cyber security over a wide area network, and methodology of DER integration is not unified. This has made it technically difficult for power utilities and aggregators to monitor and control the DER systems after they are interconnected with the electrical grids. Moreover, peer to peer communication between DER systems as well as local intelligent computation is required to reduce decision latency and enhance the stability of the smart grid or microgrid. In this paper, the first, novel architecture of IEC 61850 XMPP (extensible messaging and presence protocol) of the edge computing gateway, involving advanced concepts and technologies, was developed and completely studied to counter the abovementioned challenges. The results show that the proposed architecture can enhance the DER system’s effective integration, security in data communication and transparency for interoperability. The novel and advanced concepts involve first modeling the topology of the photovoltaic (PV) station to IEC 61850 information models according to the IEC 61850-7-4 logical nodes and the DER-specific logical nodes defined in IEC 61850-7-420. This guarantees the interoperability between DER and DER, DER and utility and DER and the energy service operator. The second step was to map the information models to IEC 61850-8-2 XMPP for the specific communication protocol in DER applications. XMPP protocol, a publish/subscribe communication mechanism, is recommended in DER applications because of its characteristics of cybersecurity and authenticated encryption. After that we enabled the edge computing capability for data processing and the analytics of the DER side for time-critical missions. The aggregated data was then sent to the control center in the cloud. By applying the edge computing architecture, the system reduced decision latency, improved data privacy and enhanced security. The goal of this paper was to introduce the practical methodologies of these novel concepts to academics and industrial engineers.


2019 ◽  
Vol 29 (4) ◽  
pp. 465-481
Author(s):  
Ivan Trofimov ◽  
Leonid Trofimov ◽  
Sergei Podkovalnikov ◽  
Lyudmila Chudinova ◽  
Lev Belyaev ◽  
...  

The paper describes the software tool implemented by Melentiev Energy Systems Institute SB RAS, aimed to solve wide range of energy issues. In this article, the Computing and Information System (CIS) means a software tool that provides collection, transfer, processing, storage, geo-visualization, and output of digital technical and economic data of different energy/power entities. Besides, this tool is incorporated within a mathematical model for optimization of expansion and operating modes of power systems. The paper discusses the example of how data storage and data representation in object-oriented database assist to improve efficiency of research prospective electric power systems expansion and operation.


2020 ◽  
Vol 216 ◽  
pp. 01104
Author(s):  
Rashid Sitdikov ◽  
Olga Radionova ◽  
Margarita Mandalaka

The paper presents a mathematical model for solving the problem of operational optimization of electric power systems (EPS) modes when incompatible restrictions appear with using the mathematical apparatus of multi-criteria optimization. Along with the main criterion, three additional criteria are considered, which, in the calculations, make it possible optimally to enter the modes into the acceptable area.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3615 ◽  
Author(s):  
Junwei Cao ◽  
Yuxin Wan ◽  
Haochen Hua ◽  
Yuchao Qin

With the rapid development of smart grid technologies, communication systems are further integrated in the existing power grids. The real-time capability and reliability of the power applications are receiving increasing concerns. Thus, it is important to measure the end-to-end delay in communication systems. The network calculus theory has been widely applied in the communication delay measuring tasks. However, for better operation performance of power systems, most power applications require synchronous data communication, in which the network calculus theory cannot be directly applied. In this paper, we expand the network calculus theory such that it can be used to analyze the communication delay for power applications in smart grids. The problem of communication delay calculation for the synchronization system is converted into a maximum path problem in graph theory. Finally, our theoretical results are compared with the experimental ones obtained with the network simulation software EstiNet. The simulation results verify the feasibility and effectiveness of the proposed method.


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