Pienjänniteverkon jännitetason hallinta

Transcription

1 Pienjänniteverkon jännitetason hallinta ideal grid for all Voltage management of low voltage network Sami Repo

2 SLIDE 2 12/02/ Sami Repo Content Low voltage network scenarios Low voltage network management Smart meter based LV network management Aggregator services for LV network management INTEGRIS solution for LV network management New ideas for LV network management Simulations Network impacts of PV and energy storage in LV network LV network voltage control

3 SLIDE 3 Low voltage network scenarios

4 SLIDE 4 12/02/ Sami Repo Low voltage network scenarios Increasing loads Changes in heating / cooling type Oil heating is replaced with heat pumps Summer time loads are increasing Electric vehicles Annual energy: 0.2 kwh/km * km = 4000 kwh Peak power: 3 kw 10 kw at home Uncontrolled / controlled charging Elspot based energy management Shiftable loads used at the same moments

5 SLIDE 5 12/02/ Sami Repo Low voltage network scenarios Increasing production Self-generation (PV) decreasing load DNO s income decrease High penetration of PV network feed voltage rise

6 SLIDE 6 12/02/ Sami Repo Low voltage network scenarios Controllability of customers Home/building automation Energy cost minimization Power based grid tariffs / Dynamic grid tariffs Demand response contract or service

7 SLIDE 7 12/02/ Sami Repo Low voltage network management Smart meter based LV network management Home Energy Management System INTEGRIS solution for LV network management New ideas for LV network management

8 SLIDE 8 Smart meter based LV network management NIS DMS SCADA CIS AMR gateway AMR alarms AMR near real-time monitoring AMR based demand response MDC Smart meter Smart meter Smart meter

9 SLIDE 9 AMR data in DSO s processes Network planning and asset management More accurate load profiles and customer classification improved network analysis for long-term planning Supervision of network status based on actual measurements shortterm reinforcement actions Prioritization of network reinforcement actions based on supply quality Estimations of assets expected life time based on actual power flows Normal operation More accurate load profiles and customer classification improved pseudo measurements for state estimation Selected real-time voltage measurements to further improve the accuracy of state estimation LV network monitoring and control becomes possible Emergency situations Direct load control to reduce power flow

10 Aggregator 12/02/2014 services Sami Repo for network SLIDE 10 NIS management DMS CIS SCADA AMR gateway HEMS for customer needs Market integration of HEMS DSO interface for HEMS Retailer 1 Retailer n MDC Aggregator Smart meter Smart meter Smart meter HEMS HEMS

11 SLIDE 11 INTEGRIS solution for LV network management Secondary substation automation MV network monitoring and control LV feeder measurements Monitoring of whole LV network based on realtime AMR data LV network management based on local decision making and DER control Single interface towards control centre Integris device operates as an IEC server sends only requested or analyzed information like alarms or statistical data to the SCADA

12 SLIDE 12 Secondary substation automation NIS DMS SCADA INTEGRIS device RTU MDC 1. MV network and transformer 2. LV feeders 3. LV network real-time monitoring 4. LV network real-time management Smart meter Smart meter Smart meter HEMS HEMS

13 SLIDE 13 Ideas for LV network management DSO provides services via automation system AMR data AMR HUB AMR based Demand Response Aggregator SS-IDEV + AMR + HEMS Aggregator Why DSO should provide infrastructure? Neutral actor DSO needs LV network management anyway Separation of infrastructure and functionalities Parallel systems create conflicts Interoperability is easier to realize Efficient utilization of capital investments for infrastructure

14 SLIDE 14 Decentralized and integrated automation systems Balance responsible Energy retailer Aggregation system TSO SCADA DMS NIS MDMS NIS DSO control centre Enterprise Service Bus Primary substation Substation automation CIS Workforce management system AMR HUB Secondary substation automation RTU IED PMU Secondary substation automation Secondary substation RTU PMU PQ RTU IED Connection point Smart meter Customer Home energy management DER Measurements Mains switch

15 SLIDE 15 Ideal solution for LV network management SCADA DMS NIS CIS Enterprise Service Bus INTEGRIS device RTU AMR HUB Aggregator Integration of systems Standard protocols Open infrastructure Autonomous Switch Switch Smart meter Smart meter Smart meter HEMS HEMS

16 SLIDE 16 Simulations

17 SLIDE 17 Network impacts of PV and energy storage in LV network LV network from Orivesi Apartment houses House, direct electrical heating, hot water boiler (electric) < 300 l PV: 3 kw, annual energy 3.2 MWh, measured radiation from Tampere Energy storage: ideal, 5 kwh (hot water per person per day litre 2-4 kwh) Aim of simulations Minimize energy supply from customer to network Analyse impact of energy storage (demand response) on LV network currents and voltages

18 SLIDE 18 Results of single customer

19 SLIDE 19 Network impacts of PV and energy storage in LV network

20 SLIDE 20 Network impacts of PV and energy storage in LV network

21 SLIDE 21 12/02/ Author xxxxxx xxxxxxxxxxx Netotustavat Ei netotusta Summataan vaihekohtaiset tuntienergiat Netotetaan päiväenergiat, vaiheet erikseen. Netotetaan päiväenergiat ja vaiheet.

22 SLIDE 22 12/02/ Author xxxxxx xxxxxxxxxxx 1-vaiheinen PV

23 SLIDE 23 12/02/ Author xxxxxx xxxxxxxxxxx 3-vaiheinen PV

24 SLIDE 24 Voltage control methods Primary control (only local measurements) Automatic Voltage Regulation (AVR) of DG unit Automatic Voltage Controller (AVC) of MV/LV transformer on-line tap changer Secondary control (area control) Coordinated control of all resources in LV network

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26 SLIDE 26 LV network voltage control

27 SLIDE 27 LV network voltage control 10 kw PV per customer, middle load Base case AVC AVR AVR DB AVC + AVR AVC + AVR DB CVC Overvoltage volume (pu*s) Undervoltage volume (pu*s) Duration voltage is out of bounds (s) Generalized mean of surface Real power losses (kws)

28 SLIDE 28 LV network voltage control 10 kw PV per customer, min load Base case AVC AVR AVR DB AVC + AVR AVC + AVR DB CVC Overvoltage volume (pu*s) Undervoltage volume (pu*s) Duration voltage is out of bounds Generalized mean of surface Real power losses (kws)

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32 Thank you