MONTAÑO

UNAL

JAVIERROSERO

PLATAFORMA

COMPUTACIONAL PARA

MODELOS DE FLUXO DE

ENERGIA EM TEMPO REAL

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Integration between

• The physical layer

• Measurement

• System communication

interface.

The characteristic curve of

photovoltaic generation for

January 2016

Voltage in the output of the

photovoltaic system inverter

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1_Calle_26

2_Soc_CH

8_Bib_Central

4_Torre_Enf

9_Fac_de_Arq

15_Pos_Mat_Fis

16_Ens_Hid 17_Res_de_Mat_IEI

23_Ed_Hidra_PATIOS

18_Unid_Comp

28_IICA

24_Ob_Astro/labe

25_Cien_Nat

26_Genetica

27_Tall_Mant

20_Cine_Tel

14_Fac_Med

21_Ede_Quim

22_Ed_Far

19_Lab_Vet

12_Camil_Torr

13_Par_Humbolt

11_Uriel_Gu

30_Un_Salud7_Pos_Vet

5_Alma_Aux_AGRONOMIA

6_Mata_icta

29_Pos_CH 3_Manuel_Ancizar

10_Economia

31_CyT

Nodo_Base

32_Odontol

N_0

33_Fac_Ingeniería

Medium voltage grid of Bogota campus of

Universidad Nacional de Colombia

Network Energy

Losses

Network Energy

Losses

Network Active

Power Losses

Network Reactive

Power Losses

MWh MVArh MW MVAR

0.2742 0.5760 0.0205 0.043

Maximum load Minimum load Load factor Load loss factor

MW MW - -

1.8176 0.6618 0.7066 0.5699

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Load profile of campus

consumption on a

weekday class and PV

generation profile with 3

MW of installed capacity

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Profile of cumulative

energy generated by the

PV system and

cumulative energy

consumed at

Universidad Nacional

It is possible to meet

60.79% of the total

energy demand on

campus

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Network LossesCase I Case II Difference

Without

DGWith DG % decrease

Active Energy Losses [MWh] 0.274 0.224 -18.27%

Reactive Energy Losses [MVArh] 0.576 0.418 -27.40%

Active Power Losses [MW] 0.021 0.013 -36.10%

Reactive Power Losses [MVAr] 0.043 0.020 -54.42%

Load loss factor [-] 0.570 0.506 -11.21%

Intervals of voltage

variation at each node

decrease for the

distributed generation

case

Significant

improvement in

nodes 1, 2, 3, 4, 5, 6,

7, 8, 29, 30, and 32

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PI Interface

PI AF

PI Archive – PI Collective

PI Datalink, PI ProcessBook

PI Archive

Visual Studio

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Key point

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