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1.
The use of differential evolution to determine maximum generation and load values in the distribution network
Eva Tratnik, Janez Ribič, Matej Pintarič, Miran Rošer, Gorazd Štumberger, Miloš Beković, 2022, original scientific article

Abstract: By integrating renewable energy sources into the existing distribution network, the characteristics and local stability of the network is highly impacted. The network, which was built with the goal of a directed energy flow from large conventional sources connected to the transmission network via the distribution network to consumers, can change the direction of the energy flow. The adoption of environmental commitments and directives encourages the integration of local dispersed energy sources, which can worsen voltage conditions in the distribution network. To avoid excessive local production, distribution network operators must limit the installation of new generati on units, as it is necessary to take into account the quality of power supply by monitoring its network parameters, such as the appropriate voltage profi le and the rati o between acti ve and reacti ve power. On the other hand, excessive loads due to the mass transiti on of household heati ng and transport towards electricity can also pose a problem for high-quality electricity supply due to the excessive voltage drop. The arti cle presents an algorithm for determining the maximum size of unit producti on and the maximum load at a node in the distributi on network. Also demonstrated is the use of variable tap transformer technology, which adjusts the tap of the transformer to provide an appropriate voltage profi le in the network. The enti re analysis was performed on a model of a real medium-voltage network, in which solar and hydropower plants are already included. The model was verifi ed by comparing its calculated values with actual measurements. The goal was to determine the size of the unit’s maximum producti on, as well as the size of the maximum load, by using the diff erenti al evoluti on algorithm, while keeping voltage profi les within the permissible limits. The results of the analysis are presented in the article.
Keywords: distribution network, renewable energy sources, optimisation method, voltage profile
Published in DKUM: 30.10.2023; Views: 272; Downloads: 11
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2.
Proceedings of the international conference on innovations in energy engineering & cleaner production
2022, proceedings of peer-reviewed scientific conference contributions (international and foreign conferences)

Keywords: energetics, renewable energy sources, production, alternative energy sources, environmental protection
Published in DKUM: 27.10.2023; Views: 357; Downloads: 13
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3.
Economic effects of renewable energy technologies
Dario Maradin, Ljerka Cerović, Trina Mjeda, 2017, original scientific article

Abstract: Rapid economic development has resulted in the more frequent use of renewable energy technologies. On the other hand, the production and use of renewables fosters the development of new technologies, creating many new opportunities for entrepreneurial-minded individuals and, consequently, the economy in general. Renewable energy technologies have a multiplier effect in spurring the economy and the development of not only the energy sector but also all the supporting activities related to such industry. The purpose of this research is to analyse both the positive and the negative economic effects of investing in various renewable technologies, as well as to confirm, by means of the energy-economy model, the benefit of such technologies in boosting the economy.
Keywords: renewable energy sources, new technologies, boosting the economy
Published in DKUM: 13.11.2017; Views: 1528; Downloads: 442
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4.
Renewable energy sources in Slovenia: Determining possible development trends until 2020 by using linear forecast and simulation with geometric Brownian motion process
Dejan Tasić, 2017, undergraduate thesis

Abstract: Renewable energy sources in the European Union and the Republic of Slovenia present an increasing share of energy each year. This thesis contains the data from Eurostat, where the statistics of renewable sources in the European Union and the Republic of Slovenia are analyzed from 2004 to 2014. On the basis of this data, the linear forecast and simulation by using process of geometric Brownian motion are conducted for the Republic of Slovenia for the time period 2015-2020. The goal is to determine if the Republic of Slovenia will achieve target objectives of European directive for renewable energy sources until 2020.
Keywords: Slovenia, renewable energy sources, statistics, forecast, simulation, GBM
Published in DKUM: 22.09.2017; Views: 1593; Downloads: 141
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