Open AccessOptimalno dimenzionisanje mikromreže sa obnovljivim izvorima energije u Srbiji
Author(s) -
Vladimir Antonijević,
AUTHOR_ID,
Lazar Mlađenović,
Goran Dobrić,
Mileta Žarković
Publication year - 2021
Publication title -
energija/energija, ekonomija, ekologija
Language(s) - English
Resource type - Journals
eISSN - 2812-7528
pISSN - 0354-8651
DOI - 10.46793/eee21-4.16a
Subject(s) - microgrid , intermittency , renewable energy , wind power , production (economics) , environmental science , electricity , consumption (sociology) , electricity generation , grid , energy storage , automotive engineering , computer science , power (physics) , reliability engineering , meteorology , electrical engineering , engineering , mathematics , economics , geography , social science , turbulence , physics , geometry , quantum mechanics , sociology , macroeconomics
The paper analyzes the formation of the microgrid in South Banat. The paper contains three scenarios related to determining the size of the distribution area of the part of the electric power system of Serbia that can potentially be powered only from renewable energy sources. Based on real data on the production of four wind farms in Serbia (Čibuk, Kovačica, Alibunar and Košava) for the period January - June 2019 and real consumption data, the first scenario was formed which refers to determining the part of distribution area that can be covered from existing wind farms. In this scenario, with respect to the criteria of uninterrupted power supply, the percentage share of energy from the electricity network was determined for different sizes of distribution area. In order to reduce the share of energy from the electricity network, a new scenario was considered, which refers to the addition of production capacities of solar energy. The analysis of the second scenario showed reduced cumulative intermittency of wind and solar power plants compared to the first scenario. The complementary nature of the sun and wind contributes to a better correlation between consumption and production. The third scenario involves adding storage capacity to the second scenario. A genetic algorithm was applied for the optimal determination of the storage capacity of a microgrid in both grid-connected and islanded modes. A correlation coefficient of production and consumption was formed for each scenario. A complete analysis was performed in order to consider the possibility of forming a microgrid in the part of the Serbian power system near wind farms. This analysis showed a reduction in transmission losses, a reduction in CO2 emissions and better voltage conditions.