Optimal allocation of battery storage in distribution grid with distribudet generation

U radu je opisan proces optimizacije baterijskog spremišta energija u nesimetričnog distributivnoj mreži s dva neupravljiva distribuirana izvora energija pomoću dva programa, OpenDSS i Python. Python je korišten za optimizaciju, dok je OpenDSS korišten za stvaranje virtualne distributivne mreže i kao alat za proračune. U Python-u je korištena diferencijalna evolucija, evolucijska strategija s ciljem traženja globalnog minimuma. Funkcija čiji se globalni minimum tražio su ukupni gubici u periodu od jednog dana s intervalima po jedan sat. Postignuti su niži gubici u mreži, ali bitniji rezultat je postignut u obliku učinkovitije distributivne mreže s obzirom da je naponski profil te mreže unutar granica zadanih normom.The paper describes the process of optimizing a battery energy storage in a asymmetric distribution network with two uncontrolled distribution energy sources using two programs, OpenDSS and Python. Python was used for optimization, while OpenDSS was used to create a virtual distribution network and as a tool for calculating. In Python, differential evolution was used, an evolutionary strategy with an objective to find global minimum. The function whose global minimum was sought after were total system losses over a period of one day with invervals of one hour. Lower losses in network were achieved, but a more significant result was achieved in the form of more efficient distribution network, considering that the voltage profile of that network was within the limits of set norm