| Popis: |
Magistrsko delo zajema tematiko upravljanja elektroenergetskega sistema glede na kriterij prenapetosti. Razmah razpršenih virov energije v nizkonapetostnem omrežju operaterjem distribucijskih omrežij povzroča nemalo preglavic. V obravnavanem primeru omrežja gre za problem pojava prenapetosti na nekaterih merilnih mestih zaradi prenasičenosti z razpršenimi viri. V začetku dela so predstavljena programska orodja in simulacijske metode, ki omogočajo analizo nizkonapetostnega omrežja. Gre za kompleksen postopek, ki ga lahko z raznimi pristopi poenostavimo in kljub temu zagotovimo kredibilnost rezultatov. Na podlagi teoretske zasnove o razpršenih virih, priključni zmogljivosti omrežja in ukrepih, ki izboljšajo kakovost električne energije, smo simulirali razne scenarije. Preverili smo stanje omrežja pred in po integraciji RV v omrežje. Preizkušali smo meje priključne zmogljivosti dotičnega omrežja in preučili vpliv naključno postavljenih RV v omrežju. Za konec smo preverili še morebitne blagodejne učinke štirih različnih ukrepov za odpravljanje problematike prenapetosti. Preizkusili smo ukrep ojačitve omrežja, zamenjave transformatorja z regulacijskim transformatorjem ter postavitve baterijskega hranilnika energije v bližino transformatorske postaje ali v bližino odjemalca z večjo enoto razpršenega vira energije. The master's thesis covers the topic of managing the power system based on the overvoltage criterion. The proliferation of dispersed energy sources in low-voltage networks causes many problems for distribution network operators. In the studied case, the problem is the occurrence of overvoltage at certain measuring points due to saturation with dispersed energy sources. At the beginning of the work, software tools and simulation methods are presented, which enable the analysis of the low-voltage network. It is a complex process that can be simplified with various approaches while still ensuring the credibility of the results. Based on the theoretical design of dispersed energy sources, network capacity, and measures that improve the quality of electrical energy, we simulated various scenarios. We checked the state of the network before and after the installation of DERs in the network. We tested the limits of the network’s hosting capacity and studied the impact of randomly placed DERs in the network. Finally, we also examined the potential beneficial effects of four different measures to address the overvoltage issue. We tested the measure of strengthening the network, replacing the transformer with an on-load tap-changing transformer, and installing an energy storage battery near the transformer station or near the consumer with a larger unit of dispersed energy source. |
