Orlando Tools: Energy Research Application Development Through Convergence of Grid and Cloud Computing

Feoktistov, Alexander; Gorsky, Sergey; Sidorov, Ivan; Kostromin, Roman; Edelev, Alexei; Massel, Liudmila

doi:10.1007/978-3-030-05807-4_25

Cited by 20 publications

(11 citation statements)

References 18 publications

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“…Taking into account the previously obtained 61 critical objects and 630 pairs of critical combinations, calculations were carried out for pairwise shutdown of all other objects of the calculation scheme, followed by a "breakdown" of bottlenecks -measures aimed at minimizing the gas shortage among consumers. These calculations were carried out using the software package [27] detailing the functioning of the gas transmission network of Russia and allowing simulating various operating conditions of its facilities, including complete shutdown. The calculations were carried out using the parallel computing methodology at [28].…”

Section: Identification Of the Most Important Combinations Of Gas Indmentioning

confidence: 99%

Search of the most important combinations of gas industry objects from the positions of system operability

Vorobev

Smirnova

2019

E3S Web Conf.

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The article is devoted to the search and determination of the most important combinations of gas industry objects from the standpoint of system operability. The study was carried out on the example of the Unified Gas Supply System of Russia. The study is a development of the topic of the search and determination of critical objects of the system. Cases of simultaneous failure of two disconnected and independent from each other system objects are possible. The article presents a list of the most important combinations of gas industry objects that are not included in the list of critical objects, failure of which can lead to a significant gas shortage among consumers. Their significance and impact on the performance of the Russian gas industry are shown. Conclusions have been drawn on the feasibility of searching for such paired combinations of gas industry objects from the standpoint of system operability.

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Section: Identification Of the Most Important Combinations Of Gas Indmentioning

confidence: 99%

Search of the most important combinations of gas industry objects from the positions of system operability

Vorobev

Smirnova

2019

E3S Web Conf.

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“…The IIES vulnerability analysis can be performed using different computing systems (personal computer, server, cluster, grid, or cloud) for a relatively acceptable time (hours, days), the duration of which is determined by the characteristics of the used computing resources. Integration of the listed systems into a single environment provides both the flexibility in choosing the necessary configuration of the computational infrastructure and speed in implementing experiments of various scales [17]. We use a modular approach when developing applications that operate in such an environment [14].…”

Section: Subject-oriented Environmentmentioning

confidence: 99%

“…The engineering-based approach [17] suitable for vulnerability analysis of IIES was developed on the base of [19] and provides one unified way of modeling systems to represent critical infrastructures of different types. It is oriented to use resources of public access computer center "Irkutsk Supercomputer Center of SB RAS [24].…”

Section: The Engineering-based Framework Suitable For Vulnerabilmentioning

confidence: 99%

Vulnerability Analysis of Intelligent Integrated Energy Systems

Barakhtenko¹,

Sokolov²,

Edelev³

et al. 2019

Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019)

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The paper addresses the intelligent integrated energy systems vulnerability analysis framework. The main task of intelligent integrated energy systems similar to any energy supply system is the consumer's uninterruptable energy supply. This paper describes the main principles to deal with the complexity of intelligent integrated energy systems when performing their vulnerability analysis. The engineering-based framework suitable for vulnerability analysis of intelligent integrated energy systems is proposed.

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“…where the set of feasible decisions The solving the lookahead model in (20) is not an optimal policy but it helps obtain robust behaviour by tuning  using the base model. The approach was implemented using the continuous integration methodology in the Orlando Tools framework [54]. The methodology and framework made it possible to organize a single workflow of developing and testing of the distributed application for solving the above-formulated problem.…”

Section: The Base Modelmentioning

confidence: 99%

Modelling energy systems of Vietnam with integration of renewable power sources

Edelev¹,

Karamov²,

Sidorov³

et al. 2019

The International Workshop on Information, Computation, and Control Systems for Distributed Environments 2019

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The paper addresses the research of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a stochastic base model that optimizes a deterministic lookahead model. The first model applies the stochastic search to optimize the operation of power sources. The second model captures hourly variations of renewable energy over a year. The approach helps to find the optimal generation configuration under different market conditions.

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Orlando Tools: Energy Research Application Development Through Convergence of Grid and Cloud Computing

Cited by 20 publications

References 18 publications

Search of the most important combinations of gas industry objects from the positions of system operability

Search of the most important combinations of gas industry objects from the positions of system operability

Vulnerability Analysis of Intelligent Integrated Energy Systems

Modelling energy systems of Vietnam with integration of renewable power sources

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