EARLY FINDINGS OF AN ENERGY STORAGE

PRACTICAL DEMONSTRATION

Peter LANG - UK Power Networks Neal WADE and Philip TAYLOR – Durham University

Peter JONES ABB UK and Tomas LARSSON ABB Sweden

Authors Peter LANG and Neal WADE LANG – UK – S4 – 0413

Frankfurt (Germany), 6-9 June 2011

Many documents have been written about the theoretical benefits of energy storage

In 2005 AuraNMS set out to research network optimisation taking into account DG and Electrical energy storage

The energy storage device was to be designed, supplied and installed by ABB

UKPN had to find a site where the anticipated benefits could be demonstrated

Background

Frankfurt (Germany), 6-9 June 2011

Network and Location Requirements

Connected to an 11kV distribution network Wind generation nearby Demand profiles that change Away from the primary substation Be able to assess the benefits e.g. voltage

support, losses reduction, increase quality of supply and many more that are of value to other network users

Frankfurt (Germany), 6-9 June 2011

Candidate Network

Frankfurt (Germany), 6-9 June 2011

Preparation

Assess the distribution network Obtain planning permission Lease the land Design review Appoint CDM co-ordinator Arrange contractors

Frankfurt (Germany), 6-9 June 2011

Delivery, Installation and Commissioning

Frankfurt (Germany), 6-9 June 2011

The Energy Storage Device

Frankfurt (Germany), 6-9 June 2011

Characteristics of DynaPeaQ

Li-ion Batteries from SAFT 200 kW for 1 hour 600 kvar inductive 725 kvar capacitive Controlled by ABB’s MACH2 control system

Operating as intended

The next phase…

Frankfurt (Germany), 6-9 June 2011

Realising Benefits on the Network

Frankfurt (Germany), 6-9 June 2011

Network Instrumentation

Measurement of: real power reactive power voltage

Industrial PC: data processing communications

Frankfurt (Germany), 6-9 June 2011

Test Programme

Initial Gradual ramping of power exchanges Pre-determined ESS set-points Operation at ‘quiet’ times

Operational Power exchanges dictated by prevailing

network conditions Voltage control Power flow management

Frankfurt (Germany), 6-9 June 2011

Control Algorithm

Steady-state Rule based

respond to triggers on network manage battery state-of-charge

Example:

Frankfurt (Germany), 6-9 June 2011

Network interventions

Voltage control: in response to local or remote measurements.

Power flow management: supply reactive power (wind-farm Q demand), supply real power (thermal constraint), peak shaving, absorb real power (wind-farm generation), absorb real power (reverse power flow), and loss minimisation.

Frankfurt (Germany), 6-9 June 2011

Assessing the Benefits

Reduction in primary reverse-power-flow

0

5

10

15

20

25

30

35

Even

t cou

nt

Time of day

0.4 MW 0.3 MW 0.2 MW 0.1 MW 0.0 MW