Dynamic smart metering based demand response. IEA DSM Workshop Joonas Päivärinta, Helsinki Energy Joel Seppälä, Helen Electricity Network

Transcription

1 Dynamic smart metering based demand response IEA DSM Workshop Joonas Päivärinta, Helsinki Energy Joel Seppälä, Helen Electricity Network

2 CONTENTS 1. Background 2. Overview 3. Functions 4. Approach & Ambitions 5. The Path Forward

3 AMR in Helsinki AMR coverages 100 % of metering points All metering points are hourly measured AMR systems delivered by - Landis+Gyr ( mp.) - Aidon ( mp.) - Kamstrup ( mp.) Functionalities: - Hourly measured energy (P/Q) - Circuit breaker - Power outage/voltage quality information - Dynamic Load Control 3

4 Background Background A long tradition of load controls: introduced in the 60 s&70 s to balance the demand at night hours and to enable CHP & nuclear baseload A time-of-use control was used in Finland and in other Nordic countries In Helsinki alone there are 50 MW of controllable and storable electrical heating loads metering points <-> comparable to washing machines The loads are connected to the meters at AMR roll out, and are available for controls Motivation & Drivers In the future more intermittent production in the system. New ways to balance the system are needed. In order to achieve a feasible business case - Adequate volume of loads; and - Low life cycle costs, are needed Dynamic control of heating boilers via smart meters has many attractive characteristics a) No other equipment needed: control via a relay in the AMR meter b) Relatively high load, typically 25kW/ household c) Daily heating needs met in <10 hours/day 4

5 Overview of the developed and field tested system Electricity procurement, market opera8ons Retailer has the need to adjust consump8on Control messages are created in an external system Elerctricity distribu8on, system supervision DSO forwards the load control message to corresponding reading system Electricity retailer DSO DSO X: Metering points 1, 2, 3; 01am- 05am. AMM System1: Metering points 1, 2; 01am- 05am. Meter reading system Reading system sends the message to metering points AMM System 1 AMM System 2 3G/GPRS/PLC: 0011, 0010, 0101, Metering points, customer sites Remotely read meters implement the load controls on site Metering Point 1 Metering Point 2 Metering Point 3 5

6 Key idea of dynamic load control Switch on the storage heating loads when electricity price is at its lowest 1. When using the AMR infrastructure, decisions are made in upper level in the system 2. Loads are aggregated into tradable volumes 3. Behaviour of the electric heating loads are approximated 1. Loads controlled discretely in full hours, but 2. Energy consumption profile is continuous 4. The DSO enables a retailer or aggregator to operate the loads 1. Individual controls; 2. Daily varying group controls; 3. Fixed, scheduled basic functions 5. The DSO supervises the system and applies default load controls upon failures. 6

7 From time-of-use control to dynamic control Old regime /3 of the load swhitched on at 21:00 2/3 at 01:00 according to ambient temperature Price ( /MWh) New regime Day- ahead spot price ( /MWh).me of day (h) 3/3 of the load switched on according to price signal and ambient temperature 7

8 The research program Approach and methods Ambitions 1. Measurements, models and benefit potential were analyzed and simulated, and target houses for pilots were selected 2. Operating model was developed for the purpose, including message exchange between the relevant market actors 3. Two smart metering system manufacturers implemented full support for this operating model 4. The solutions were verified in laboratory and then demonstrated in field tests 1. After the roll-out, the functionality can be extended to: Heating of domestic hot water Partial storage heating (= typically building structures, i.e. floors, fireplaces) Car heaters HEMS-integration EV-charging 2. The xml-message to be further developed and introduced as the basis for (national) standard 3. Neutrality of load control information exchange 8

9 The path forward Current load control regime Spot- price sensi8ve Op8mized procurement CONTRIBUTES TO: MARKET- WIDE ENERGY BALANCE Step II Spot- and intraday signals Balancing services REGIONAL SHORT- TERM ENERGY BALANCE Step III Real 8me Price- and system signals Mul8- objec8ve op8miza8on LOCAL POWER BALANCE 9

10 THANK YOU! Related publications P. Koponen, J. Seppälä, Market price based control of electrical heating loads, CIRED 2011, Frankfurt 6-9 June, paper P. Koponen, O. Porri, J. Seppälä, Plans for the second field test year on smart metering based dynamic load control, VTT-R

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