The Features of the Smart MicroGrid as the Object of Information Modeling

Shulyma, Olha; Shendryk, Vira; Baranova, I. V.; Marchenko, Anna

doi:10.1007/978-3-319-11958-8_2

Cited by 10 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The structure of hybrid grid was determined in previous sections, and in previous research [17] was given the analysis of existing methods, that can be applied in information system and tasks of the information simulation of distributed power grid. Thus, on this step can be determined functional requirements, which describe functions that the system executes.…”

Section: Questions To the Functioning Of The Information Systemmentioning

confidence: 99%

The Architecture of an Information System for the Management of Hybrid Energy Grids

Shulyma¹,

Davidsson²,

Shendryk³

et al. 2015

Annals of Computer Science and Information Systems

Self Cite

View full text Add to dashboard Cite

-The objective of this paper is to present the design of an information system using software agents. The features of the decision-making process concerning a working model of a hybrid energy grid and the functional requirements of the information system are described. Based on an analysis of the information flow occuring during the data processing for making appropriate decisions, a system architecture which combines a set of independent platforms, is proposed. Multi Agent System is used for the implementation and integration with other systems, such as a power system analysis tool, as well as presentation and storage tools. I. INTRODUCTIONFrom a production perspective, electrical energy production has become more difficult as traditional big power plants use fossil fuel and therefore are regarded environmentally inappropriate, and as nuclear power plants are regarded inappropriate due to safety. However, to generate energy in large conventional power plant is cheap and not technically difficult. Furthermore, energy distribution to the user could be very expensive due to the significant losses that occur. Many countries are presently introducing the concept of distributed energy production and consumption by using renewable energy sources (RES). This means that the power system mainly consists of medium and small generators that are located directly next to the end user [13] The user cares individually about the use and maintenance of RES. Electricity is generated for user's own needs, and if there is excess, the user can sell it to the grid where other users can use this energy. The presence of several sources producing electricity, make such a system a hybrid system [1]. Successful examples of using solar and wind energy have already been shown, and the construction of hybrid energy systems has become more attractive.In addition, RESs are becoming increasingly popular as they produce electricity in a more environmentally friendly way, and therefore are getting financial support from governments. In developing countries often the idea of using RES comes from private stakeholders. However, it is difficult for laymen to operate such grids with maximum benefit as the system is characterized by rapidly changing operating modes and configurations are depending on external conditions. The decision making process concerning the management of a distributed grid is complicated by the presence of a large amount of discrete variables that are affecting the system. It can take a long time to make a decision as you want to be sure that the right decision was made with respect to maximize benefit. Thus, it may be convenient to use Decision Support Systems (DSS), which can take on some the user's tasks. However, before the creation of a DSS, it is necessary to build an information model that can be used to provide the appropriate information to the DSS. It is necessary to determine exactly, what type of tasks that will be taken over by the system, how to solve these tasks, and how to provide the necessary data to th...

show abstract

Section: Questions To the Functioning Of The Information Systemmentioning

confidence: 99%