Typal Intelligent DSS for Making Strategic Decisions in the Energy Sector and Examples of Application Based on Agent-Service Approach

Massel, Liudmila; Kuzmin, Vladimir

doi:10.2991/csit-19.2019.48

Cited by 2 publications

(3 citation statements)

References 3 publications

(3 reference statements)

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“…Consideration of uncertainty, incompleteness of conditions and criteria for evaluating a situation is of particular attention in the DSS. In [5] formulates basic criteria and requirements of the system approach to building the DSS. The main ideological principle stated is that "the idea ... of methodology is accumulation of knowledge in the computer form of knowledgebases and its subsequent use for decision-making".…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is proposed to divide knowledgebases into the following categories: universal, problematic and specific [6]. The ideology of expert systems should be used as the basic software platform for the DSS [5,7].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The paper looks into and analyzes both simulator systems for operational personnel of power facilities and specialized DSSs developed for the professional area of power system management including dispatch emergency control of power system modes [5,9].…”

Section: Literature Reviewmentioning

confidence: 99%

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Production Rule Ontology of Automatized Smart Emergency Dispatching Support of the Power System

Morkun

Котов

Serdiuk

et al. 2021

HAIT

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The research deals with improving methods and systems of control over power systems based on intellectualization of dispatch decision support. There are results of developing a principal trigger scheme of the decision support system algorithm. The proposed model of algorithm visualization in the form of a trigger state network of the computer system provides interaction with power objects of mining and metallurgical complexes and regions. A new interpretation of components of the network trigger model is introduced. The model is interactively related to both user-operator actions and states of power system components. With that, the state of the automata model is associated with fulfillment a set of metarules to control the logical inference. There are new forms of presenting algorithms controlling knowledgebases that interact with the external environment and aggregate primitives of states, triggers and transactions of operations and generalize standard visualization languages of algorithms are proposed. This allows unification of smart systems interacting with the external environment. The authors develop models for representing knowledgebase processing algorithms interacting with power objects that combine states, triggers and transaction operations and generalize standard visualization languages of algorithms. This enables description of functioning database algorithms and their event model, which provides a reliable unification of smart systems interacting with control objects of mining and metallurgical power systems. The research solves the problem of building a knowledgebase and a software complex of the dispatch decision support system based on the data of computational experiments on the power system scheme. The research results indicate practical effectiveness of the proposed approaches and designed models

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Production Rule Ontology of Automatized Smart Emergency Dispatching Support of the Power System

Morkun

Котов

Serdiuk

et al. 2021

HAIT

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Impact assessment of emissions from energy facilities on the Baikal natural area

Kuzmin

Zarodnjuk

Massel

2022

jour

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This work aims to establish a technology for conducting a comprehensive assessment of the impact of energy facilities on the environment. The proposed strategy combines regulatory methods for calculating pollutant emissions and dispersion, as well as the laboratory findings on pollutant content in snow samples. To assist the technology, a scientific prototype of an intelligent decision-making support system known as WIAIS (Web-oriented Impact Assessment Information System) was developed. The proposed technology includes three principal stages: calculating the quantitative indicators of pollutant emissions, calculating the pollutant dispersion in the atmosphere, examining snow samples for the pollutant content and comparing them with the obtained results. For practical evaluation of the proposed technology, a computational experiment was performed, which assessed the impact of emissions from the boiler plants located in the Baikal natural area and powered by different types of coal. The testing was performed using the data on 48 boiler plants of various installed capacities having different equipment and located all over the Baikal nature area. Data on the main pollutants emitted by energy facilities (sulfates, nitrogen oxides, solids) were obtained. Quantitative indicators of pollutant emissions were established; thus, the total volume of pollutants amounts to 18.33 thousand tons/year. Furthermore, the largest sources of pollutants were identified, including boiler plants in Slyudyanka, Elantsy settlement, Severobaikalsk, and Nizhneangarsk settlement. Therefore, the proposed methodology can be used for environmental assessments of the existing power plants, as well as for designing new power facilities and developing recommendations for reducing pollutant emissions.

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Typal Intelligent DSS for Making Strategic Decisions in the Energy Sector and Examples of Application Based on Agent-Service Approach

Cited by 2 publications

References 3 publications

Production Rule Ontology of Automatized Smart Emergency Dispatching Support of the Power System

Production Rule Ontology of Automatized Smart Emergency Dispatching Support of the Power System

Impact assessment of emissions from energy facilities on the Baikal natural area

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