scholarly journals Developing a New Software Tool for Research of Interstate Power Grids Expansion

2020 ◽  
Vol 209 ◽  
pp. 04004
Author(s):  
Ivan L. Trofimov ◽  
Leonid N. Trofimov

The aim of our research is to develop a new software tool – the Computing and Geo-information System for study of prospective interstate power grids expansion. The new software tool developed by the authors consists of several functional parts (software modules): graphic module for visual analysis of processed data, geo-information and cartographic module, module for working with the integrated ORIRES model (model for optimization of power systems expansion and their operating modes). In this paper, we consider features and technical description of the new software tool. The obtained results of the integrated ORIRES model in tabular, graphic and cartographic forms are presented.

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.


Author(s):  
Sergei V. Podkovalnikov ◽  
◽  
Ivan L. Trofimov ◽  
Leonid N. Trofimov

The purpose of this paper is to present opportunities and technical features of the developed software for study of prospective Interstate Power Grid (ISPG) expansion in Northeast Asia. The mathematical model for optimization of power systems expansion and operating modes, which is the main part of the computing & geo-information system (CIS), is used. In this model, a linear optimization method is used to find optimal installed capacities by generation type mix; optimal electric ties transfer capabilities and operating modes for each electric power system in the ISPG. Annualized costs of the ISPG expansion as a whole are the value of the objective function. The obtained results of the model in tabular, graphic and cartographic forms are presented. Examples of the CIS usage for study of different scenarios of ISPG expansion in the Northeast Asia are shown.


2020 ◽  
Vol 2 (1) ◽  
pp. 027-031
Author(s):  
B. A. Kosarev ◽  
◽  
O. A. Lysenko ◽  
V. K. Fedorov ◽  
R. N. Khamitov ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4776
Author(s):  
Seyed Mahdi Miraftabzadeh ◽  
Michela Longo ◽  
Federica Foiadelli ◽  
Marco Pasetti ◽  
Raul Igual

The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3680
Author(s):  
Lasantha Meegahapola ◽  
Siqi Bu

Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to the clean and low-carbon renewable energy sources [...]


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1090
Author(s):  
Charilaos Latinopoulos ◽  
Aruna Sivakumar ◽  
John W. Polak

The recent revolution in electric mobility is both crucial and promising in the coordinated effort to reduce global emissions and tackle climate change. However, mass electrification brings up new technical problems that need to be solved. The increasing penetration rates of electric vehicles will add an unprecedented energy load to existing power grids. The stability and the quality of power systems, especially on a local distribution level, will be compromised by multiple vehicles that are simultaneously connected to the grid. In this paper, the authors propose a choice-based pricing algorithm to indirectly control the charging and V2G activities of electric vehicles in non-residential facilities. Two metaheuristic approaches were applied to solve the optimization problem, and a comparative analysis was performed to evaluate their performance. The proposed algorithm would result in a significant revenue increase for the parking operator, and at the same time, it could alleviate the overloading of local distribution transformers and postpone heavy infrastructure investments.


2015 ◽  
Vol 25 (12) ◽  
pp. 1550167
Author(s):  
Lei Wang ◽  
Hsiao-Dong Chiang

This paper presents online methods for controlling local bifurcations of power grids with the goal of increasing bifurcation values (i.e. increasing load margins) via network topology optimization, a low-cost control. In other words, this paper presents online methods for increasing power transfer capability subject to static stability limit via switching transmission line out/in (i.e. disconnecting a transmission line or connecting a transmission line). To illustrate the impact of network topology on local bifurcations, two common local bifurcations, i.e. saddle-node bifurcation and structure-induced bifurcation on small power grids with different network topologies are shown. A three-stage online control methodology of local bifurcations via network topology optimization is presented to delay local bifurcations of power grids. Online methods must meet the challenging requirements of online applications such as the speed requirement (in the order of minutes), accuracy requirement and robustness requirement. The effectiveness of the three-stage methodology for online applications is demonstrated on the IEEE 118-bus and a 1648-bus practical power systems.


2018 ◽  
Vol 7 (3.8) ◽  
pp. 48
Author(s):  
Goutham Menon ◽  
Mahesh Ratheesh ◽  
Gopikrishna S Menon ◽  
Gautham S ◽  
P Kanakasabapathy

Advancements in power electronic systems has brought forth the modernization of residential power systems exponentially. The interfacing of AC and DC loads with various kinds of resources of energy has been achieved with the help of modern nanogrid architectures. This paper brings into depiction a Tapped Boost derived hybrid converter that can be used to meet the demands of both AC and DC loads having a solitary DC input. A voltage source inverter (VSI) bridge network is used instead of the single switch of a Tapped Boost converter. The VSI bridge has shoot-through protection in the inverter stage increasing its importance for smart power systems. The Tapped Boost derived converter also borrows the advantages provided by the Tapped Boost converter. The paper covers topics like the operation, steady-state analysis and operating modes of the proposed Tapped Boost-DHC. The output and input characteristics has also been tested and verified through simulatio


Telecom IT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 50-58
Author(s):  
M. Buinevich ◽  
P. Kurta

Research subject. Information interaction of the user with the information system. Objective. Improving the efficiency of user interaction with the information system to solve the main problem by customizing its interface and work script. Core results. The proposed methodology of scientific research aimed at achieving the goal, and consisting of 3 steps. As a result of each of them, the following main scientific results are expected to be obtained: interaction model, interaction assessment method, interaction optimization method. Also, it is expected to obtain private scientific results: the classification of the disadvantages of interaction, the influence of its parameters on the final efficiency, the architecture of the interface and scenario optimization system. Main conclusions. The proposed research scheme is scientifically correct and allows you to conduct a fullfledged scientific research and achieve the goal of the work. As a result, a method and a software tool will be developed that will make it possible to adjust a specific interface and a scenario for its work according to its own performance criteria - potency, operativeness and resource efficiency; at the same time, the general logic of solving the problem by the information system will remain unchanged.


2020 ◽  
Vol 68 (12) ◽  
pp. 1011-1021
Author(s):  
Tim Aschenbruck ◽  
Willem Esterhuizen ◽  
Stefan Streif

AbstractThe energy transition is causing many stability-related challenges for power systems. Transient stability refers to the ability of a power grid’s bus angles to retain synchronism after the occurrence of a major fault. In this paper a set-based approach is presented to assess the transient stability of power systems. The approach is based on the theory of barriers, to obtain an exact description of the boundaries of admissible sets and maximal robust positively invariant sets, respectively. We decompose a power system into generator and load components, replace couplings with bounded disturbances and obtain the sets for each component separately. From this we deduce transient stability properties for the entire system. We demonstrate the results of our approach through an example of one machine connected to one load and a multi-machine system.


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