SMART METERING FEATURES FOR MANAGING LOW VOLTAGE DISTRIBUTION GRIDS

Transcription

1 SMART METERING FEATURES FOR MANAGING LOW VOLTAGE DISTRIBUTION GRIDS Andreas ABART Andreas LUGMAIR Alexander SCHENK Energie AG OÖ Netz GmbH Austria Siemens AG Austria Siemens AG - Austria andreas.abart@netzgmbh.at andreas.lugmaier@siemens.com alexander.schenk@siemens.com

2 Energie AG - Grid Customers 6,8 TWh/a 42 Stations 110/220 kv / kv kv-switching stations /0.4 kv Substations Almost 9000 km lines (110 kv & 30 kv) about 20% cables Almost km lines (LV) about 60% cables

3 SIEMENS Smart Meters AMIS Automated Metering & Information System Fully automated customer service including lock- and unlock-function Registration of load profiles 14 different remote programmable registers Control of load switches e.g. for boilers following a programmable time schedule Open interface to meters for gas, water, heating etc. Power Quality: Voltage level statistic & Dips Future proof: Firmware Upgrade, New functions and communication methods can be implemented by central software download

4 Introduction Rural distribution grids are planed in respect to voltage levels Actual methods for managing voltage levels: simple estimations and measurements in case of customer s complaints Required: Long term and wide area observations using low cost systems (investment & operation) Solution: Using smart meters for doing weekly statistics of voltage levels

5 Technical & functional aspects A fully automated organization and presentation of data A compression of data for transmission and storage. It is presupposed that a standard meter can be programmed for these functions without any additional costs for extensions of hardware

6 Simple solution for long term and wide area voltage band observations Weekly histograms 15-min-AVG, -MIN, -MAX balance - unbalance No transmission of profiles just histograms Maximum distance of points of observation 70 m

7 Fluctuation of Voltages U1 AVG U2 AVG U3 AVG U1 min U2 min U3 min U1 max U2 max U3 max

8 Classification of Voltage levels Class Voltage Range Class 11 U > 111%UN Class %UN >= U > 109%UN Class 9 109%UN >= U > 107%UN Class 8 107%UN >= U > 105%UN Class 7 105%UN >= U > 103%UN Class 6 Class 5 Class 4 Class 3 Class 2 Class 1 103%UN >= U > 97%UN 97%UN >= U > 95%UN 95%UN >= U > 93%UN 93%UN >= U > 91%UN 91%UN >= U > 89%UN 89%UN >= U

9 Classification of Voltage levels U1 AVG U2 AVG U3 AVG U1 min U2 min U3 min U1 max U2 max U3 max :00:00 00:00:00 00:00:00 00:00:00 00:00:00 00:00:00 00:00:00 00:00:00

10 Classification of Voltage levels U1 AVG U2 AVG U3 AVG U1 min U2 min U3 min U1 max U2 max U3 max :00:00 00:00:00 00:00:00 00:00:00 00:00:00 00:00:00 00:00:00 00:00:00 max min 3 in 1 Bar Diagram AVG

11 Graphical presentation of results 3 in 1 Bar Diagrams: 15-min average - white border 15-min-Maximum (1sec RMS) - red border 15-min-Minimum(1sec RMS) - blue border Each week one Diagram Min/Max hold function in Bar Diagrams

12 Voltage increase by unbalanced load Reference impedance according to X ZL=0,24+j0,15 OHM ZPEN=0,16+j0,1 OHM Load delta U L1 delta U L2 delta U L3 1 kw -0,9% 0,5% 0,0% 2 kw -1,8% 0,9% 0,0% 3 kw -2,7% 1,4% 0,0% 4 kw -3,5% 1,8% 0,0% 5 kw -4,4% 2,3% 0,0% 7 kw -6,1% 3,1% 0,1%

13 Animated presentation of results of long term observatios Abart-austria-Session5-Paper0198.mpg

14 Long term analysis of results

15 Long term analysis of results LV GRID MV GRID A slide has to be easy to read It must not be too crowded It should contain no more than 6 lines No more than 8 words per line Diagrams must not be too detailed Use Arial font

16 Conclusions & Outlook I Using a smart meter system an analyzing feature for voltage levels could be developed Results demonstrate the increase of voltage level caused by unbalanced load Further investigations in respect to voltage unbalance measurements and phases separated 15-min-average value seem to be necessary

17 Conclusions & Outlook II For put into practise: standardized procedures for determining voltage band are needed The presented functionality can be very important for increased integration of decentralized generation Nevertheless setting up and operating such systems is some effort and therefore a cost benefit analysis has to be performed

18 Thank you for attention