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VPLIV SAMOOSKRBE S SONČNIMI ELEKTRARNAMI IN BATERIJSKIMI SISTEMI NA DELOVANJE DISTRIBUCIJSKEGA OMREŽJA
ID TURNŠEK, BENJAMIN (Author), ID Blažič, Boštjan (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/da97ec0c-143b-4374-a7ed-3f5b7ba7ab38

Abstract
Naloga obravnava vpliv sistemov samooskrbe s sončnimi elektrarnami in baterijskimi sistemi na napetosti, pretoke moči ter izgube v distribucijskem omrežju. Obravnavani model omrežja zajema 110 kV zbiralke v RTP Sežana, energetski transformator 110/20kV, srednjenapetostno omrežje z natančno modeliranim predmetnim srednjenapetostnim izvodom DV Divača , ki napaja 11 transformatorskih postaj. Ena od njih je TP Merče, kjer smo zmodelirali celotno nizkonapetostno omrežje ter ga v delu analizirali. Uporabili smo realne podatke meritev 15-minutnih povprečnih vrednosti obremenilnih diagramov odjemalcev, pridobljene od upravljalca omrežja, proizvodnje v vasi Merče stoječe sončne elektrarne ter moči in napetosti v posameznih točkah omrežja za leto 2015. Ustreznost modela smo potrdili z validacijo preko realnih 15-minutnih povprečnih vrednosti napetosti na sekundarju TR v TP Merče v letu 2015. Na podlagi splošno znanih trendov povečevanja obnovljivih virov smo določili dva scenarija. Prvi predstavlja porast sončnih elektrarn pri odjemalcih v nizkonapetostnem omrežju na 30-odstotni delež odjemalcev, drugi pa porast na 60-odstotni delež. V obeh smo izdelali primerjave med tremi stanji – delovanje obravnavanega distribucijskega omrežja v obstoječem stanju brez virov, z inštaliranimi sončnimi elektrarnami pri izbranih odjemalcih in z dodatno inštaliranimi baterijskimi sistemih pri izbranih odjemalcih s sončnimi elektrarnami. Rezultati prvega scenarija pokažejo znatne dvige napetosti ter pretokov moči zaradi proizvodnje sončnih elektrarn, ki pa ne prekoračijo predpisanih meja. Vidni so pozitivni vplivi baterijskih sistemov nanje, vendar ne odpravijo visokih ekstremnih vrednosti. Na področju izgub ni večjih odstopanj. V drugem scenariju se izgube drastično povečajo, pretoki v smeri srednjenapetostnega omrežja prekoračijo termično mejo transformatorja, napetosti pa dopustne meje. Vpliv baterijskih sistemov je nekoliko izrazitejši kot v scenariju 1, vendar tudi tu ne odpravijo visokih ekstremnih vrednosti. Razlog so baterijski sistemi dimenzionirani za namen samooskrbe ter njen način obratovanja. V kolikor bi bile baterije predvidene za sistemsko storitev, bi jih krmilili tako, da bi prejemale električno energijo iz omrežja ne glede na proizvodnjo pripadajoče jim sončne elektrarne in to le v primeru ekstremnih neželenih vrednosti napetosti in/ali pretoka moči (rezanje konic) ali kakšne vmesne variante. Kot optimalna kombinacija se je izkazalo stanje 3 po scenariju 1.

Language:Slovenian
Keywords:samooskrba, hranilniki, sončne elektrarne, PV vir, razpršeni viri, baterije, električna vozila, napetosti, pretoki moči, izgube, distribucijsko omrežje.
Work type:Master's thesis
Organization:FE - Faculty of Electrical Engineering
Year:2016
PID:20.500.12556/RUL-85630 This link opens in a new window
Publication date in RUL:19.09.2016
Views:2321
Downloads:728
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Secondary language

Language:English
Title:INFLUENCE OF SELF-CONSUMPTION WITH PV AND BATTERY SYSTEMS ON DISTRIBUTION-NETWORK OPERATION
Abstract:
The thesis addresses the influence of self-consumption from solar power stations and battery systems on voltage, power flow, and losses in the distribution network. The model discussed consists of a 110 kV busbar in RTP Sežana, a power transformer 110/20 kV, a medium voltage network with the thoroughly modelled object medium voltage feeder DV Divača, which powers 11 transformer stations. One of these is TP Merče, where we established a complete low voltage network. This network is analysed in the present paper. Real measurements of 15 minute average values of consumer load diagrams, production of the solar plant located in Merče, and the voltage at individual points in the network for the year 2015 were used. The data was provided by the operator of the network. The adequacy of the model was established by the validation with real 15 minute average voltage values at the secondary side of transformer at the transformer station Merče, in the year 2015. Based on the known fact of the increased usage of renewable resources, we set two scenarios. The first shows the rise of the usage of solar power stations at consumers in low voltage network to 30 percent, while the second anticipates the rise to 60 percent. In both scenarios, we compared tree situations – operation of the distribution network discussed in the present state without sources, with installed solar power plants at the chosen clients, and with added battery systems at the chosen clients with solar power plants. The results of the first scenario show considerable rises of voltage and load flows because of the production by solar power stations. They do not exceed the approved values. Positive effects of battery systems can be observed; however, they do not eliminate the high extreme values. In the field of losses, there are no bigger derogations. In the second scenario, the losses are highly increased, the power flows in the direction of the medium voltage network exceed the thermic limit of the transformer, and voltages also exceed the approved values. The influence of battery systems is more distinct than in scenario one; however, battery systems do not eliminate the high extreme values. The main reasons for this are battery systems that are dimensioned for the purpose of self-consumption, and their way of operation. If the batteries were planned as a system service, they could be operated to receive electric energy from the network independently of the attached solar power plan and this only in the case of extreme unwanted voltage values and/or power flow (eliminating peaks) or some middle possibility. Situation three according to scenario one proved to be the best possible combination.

Keywords:self-consumption, storage systems, solar power station, PV systems, dispersed sources, batteries, electric vehicles, voltages, load flows, losses, distribution power network.

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