Energex Smart Network Trials

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1 Energex Smart Network Trials 1

2 Agenda Power line carrier trials Low voltage network management trial

3 Why did we do a PRIME trial Low cost technology Same cost as a electronic meter without communications PRIME Meter Manufacturers Active mapping of the LV network Solution to our edge network problem Organic / targeted rollout Open standards with multi vendor interoperability no lock in Next Generation PLC, not trialled outside of Europe Open standards, low risk, multiple vendors

4 What is PRIME Plug & Play active two way mesh network Distribution transformer to customer network Back haul from distribution transformer using any available communications (Fibre, LTE etc) Operates in the upper CENELEC A Band Enable organic rollouts Low cost

5 Value of PRIME PLC Accurate natural network connectivity including phase identification Guaranteed delivery No wireless spectrum required Reduced risk from cyber security with encryption and segmented communications architecture Concentrator provides both Dist Trans monitoring and Prime meter data collection facilities. Low cost, low risk, meets business requirements

6 Trial Details Newmarket Deployment on 3 distribution transformer areas 2 x O/H and 1 x U/G SP2280 I 70 / 116 customers with Prime meters Circuit distances ( Max ~352m) O/H Open Wire SP5861 E 30 / 106 customers with Prime meters Circuit Distances (Max ~338m) O/H ABC + open wire SP / 57 customers with Prime Meters Circuit Distances (Max ~374m) U/G residential estate with 1 O/H transition to TX Works in multiple network topologies

7 Hardware Used Transformer based data concentrator from Current Group integrated with transformer monitoring PRIME meter from L&G in parallel with existing billing meter Meter data collection and distribution transformer monitoring in one device

8 Trial Results Tested volume is an order of magnitude higher than those required to meet the National Smart Meter Specification Protocol is guaranteed delivery Results apply to both overhead and underground networks Majority of responses under 5 secs

9 Test Results Duration SP5861 E Old F/W New F/W

10 Test Results Availability SP5861 E

11 Summary Mapping the LV network with phase identification New firmware loaded on meters remotely improved performance Optimisation not undertaken to date, however multiple strategies are available (repeaters etc) Data speeds sufficient to national specification Enables autonomous distributed intelligence at a distribution transformer ( ie local load control matched to actual local load / voltage / state) Results are very positive from initial trials

12 LV Networks and the use of STATCOMs 12

13 Why did we do a LV management trial Drivers for LV Management ~50% of Energex s network is low voltage Performance of LV network is unquantified Distribution transformer monitoring rollout is providing valuable information on LV side at distribution transformer (DT) >2000 Distribution transformer monitoring installations Increasing PV penetration causing greater voltage variability Future will see EVs & customer energy storage in low voltage networks Traditional static engineering solutions may not be the most cost effective solution. New technologies present opportunities Understand the state of the LV Network

14 LV Management Objectives Quantify the power quality of the LV network Reduce peak demand by utilising storage Develop computer models of the LV network (validated against field data) Understand the benefits of Grid Distributed Energy Resources: (voltage regulation, power factor, unbalance, losses, sags/swells) Determine optimum size, placement and control of Grid DER Simulate clustered PV, EV, customer energy storage Assess network and customer impacts and values of a transition to a 230V network. ( INC kwh, Demand and Network Losses impacts) Assess the size of the problem, now and for the future. Cater for future customer choices

15 LV Active Management Trial Overview Remote meters installed at 150 customers providing 1min sampled data voltage, current, phase, THD Grid DER in the trial area: Two sites with 3x20kVA Statcoms (4 quadrant) with 50kWh batteries Control algorithms and methodologies based on sampled data to determine optimum Statcom size, placement & operation Experiment with kw & VAr injection to better manage the LV network voltage regulation, power factor, unbalance, losses, sags/swells Detailed measurements Flexible device to rectify problems

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19 Learning s to date Voltage variation along LV circuits are becoming more difficult to manage Voltage unbalance is very evident, Many TX have more than 20V phase differential at times. Some TX have rising voltage profile at times due to Solar PV Existing phase allocation procedures do not provide the most optimal load balance conditions. Higher proportion of customer loads are now Constant Power Devices (CPD) (switch modes, A/C, Pumps) CVR Opportunities have been eroded by CPD s Transformer power factor has changed Voltage management problems will continue to grow into the future

20 Statcom Terminal Voltage During Operation Voltage Ph-A Avg Voltage Ph-B Avg Voltage Ph-C Avg 230 Current Ph-A Avg Current Ph-B Avg 225 Current Ph-C Avg 6/04/ :12 7/04/2013 0:00 7/04/2013 4:48 7/04/2013 9:36 7/04/ :24 7/04/ :12 8/04/2013 0:

21 Percentile Comparisons Device ID 45 (Customer STATCOM Pole P5853 I)

22 Percentile Comparisons Device ID 3255 (Customer Distribution Transformer P4548 L)

23 Percentile Comparisons Device ID 78(Customer Radial Point Towards End of Feeder P22935 E)

24 Percentile Comparisons Device ID 3327(Customer Middle Point of First Loop Between Transformer & STATCOM P6197 F)

25 Percentile Comparisons Device ID 48(Customer Furthest Distance from Distribution Transformer P738500)

26 Percentile Comparisons Device ID 3308 (Customer Connected Next to 3kW PV System P6141 H)

27 Summary LV Management initiative: Understand performance of the existing LV network Apply Grid DER to improve voltage regulation, unbalance, losses, power quality PSCAD network model completed linked to actual 1min meter data Next steps: 2 Grid DER systems currently being installed in the field Continue trials and modelling Develop revised LV planning, management and design tools Accurate models developed using data collected from the field.

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