Title: Assessing wind power impacts on the flexibility of a power system
1Assessing wind power impacts on the flexibility
of a power system
- Mark OMalley, Michael Milligan, Hannele Holttinen
2 Flowchart of a Wind Integration study
- Reserve requirements
- Flexibility assessment
- Production cost simulations
- Unit commitment and Economic Dispatch
3Inputs
- Important input data
- Wind power (hourly or faster)
- Load (synchronized with wind)
- Generation data including
- Ramp rate
- Minimum run levels
- Min up-time, down-time
- Heat rate
- Other relevant constraints
- Dispatch time step
- Commitment time step whether rolling, lock-down
time, etc. - Inputs from other boxes in the flow chart
4Additional Wind Induced Reserve
- Contingency reserve has basic (N-1) rules wind
rarely (if ever) influences - Operating reserves for normal operation (load
variability and forecast errors) do not have set
rules (e.g. U.S. Vs. European reserve categories
!) - this is the part that wind will influence
5Reserve requirements
6Estimating Reserve Requirements
- Many methods used to estimate increase due to
wind power - Drawback of deterministic methods adding up
extreme cases from load / contingency event /
wind is that will over-estimate - Simple statistical method combining wind and load
variability and forecast errors ? exceedence
better than n times s as wind not normally
distributed. - Risk/reliability based more advanced methods also
recommended. - Dynamic reserve is recommended.
- Forecast errors day-ahead will bring high reserve
requirements needed for Unit Commitment but
operationally we can update
7Increasing demand for Reserve
8Recommendations for Reserves
- Method
- not just adding up extreme events but combining
with risk/reliability levels. - dynamic not static
- Timing is important - horizon etc.
- Beware
- Definitions are different
9 Flowchart of a Wind Integration study
- Reserve requirements
- Flexibility assessment
- Production cost simulations
- Unit commitment and Economic Dispatch
10WHAT IS FLEXIBILITY?
Flexibility is the ability of a system to deploy
its resources to respond to changes in net load,
where net load is the remaining system demand not
served by variable generation
11Flexibility in a power system
Installed
- Operational (short-term)
- Constrained by previous unit commitment
- What can be dispatched or accessed via markets?
- Operational (Mid-Term)
- Constrained by existing (planned and built)
sources of flexibility - Unit commitment problem to ensure sufficient
committed generation for flexibility requirements - Planning (long-run)
- Necessary but not sufficient for real-time
flexibility provision - Needs an assessment of long-term flexibility
requirements
Committed
Dispatched
Internal resources
External resources
12Production Cost Simulation
Meibom, P., Barth, R., Hasche, B., Brand, H.,
Weber, C. and OMalley, M.J., Stochastic
optimisation model to study the operational
impacts of high wind penetrations in Ireland,
IEEE Transactions on Power Systems, Vol. 26, pp.
1367 - 1379, 2011.
13Ramp ERCOT 18/19th April 2009
Wind Power Output (MW)
3,039 MW in 1 hour
Source http//www.nerc.com/docs/pc/ivgtf/IVGTF_T
ask_1_4_Final.pdf
14Sources of Flexibility Need to modelled
Facilitators
Sources
Sink
Physical
Planning
- Conventional Generation
- Electricity Storage
- Interconnection
- Demand Side
- Variable Generation
- Load
- Outages
- Solar
- Wind etc..
- Transmission Networks
- Fuel Storage
Institutional
Operations
- Forecasting
- Gate Closure
- Grid Codes
- Market Resolution
- Balancing Area Size
- Unit Commitment
Economic
Markets
- Ancillary Services Reparation
- Cycling Costs
15Transmission playing its part Note the sag on
the line
16Available Flexibility
The purpose of this graph is to demonstrate the
variable flexibility that exists in the market
place to accommodate wind.
http//www.aeso.ca/gridoperations/14246.html
17Quantifying Flexibility
18The FAST Method
Step 1 Identify flexible resources
Step 2 are they available?
Step 3 what are the needs?
Step 4 Compare need resource
Optimise resource /deploy additional
19Flexibility Metrics
Lannoye, Flynn OMalley, Evaluating Power
System Flexibility, IEEE Trans. Power Systems,
in press, 2012.
20Effects of Cycling
21Production Cost Simulation
Comparison methods e.g. varying output or block
output ?.
Meibom, P., Barth, R., Hasche, B., Brand, H.,
Weber, C. and OMalley, M.J., Stochastic
optimisation model to study the operational
impacts of high wind penetrations in Ireland,
IEEE Transactions on Power Systems, Vol. 26, pp.
1367 - 1379, 2011.
22Recommendations
- Flexibility assessment
- Dispatch and Unit Commitment models
- Iterate between them or develp a new method of
assessment - Key Messages
- Representativeness of input data for wind power
variability and uncertainty - capturing system characteristics and response
through operational simulations and modelling - examining actual costs independent of tariff
design structure and
23Assessing wind power impacts on the flexibility
of a power system
- Mark OMalley, Michael Milligan, Hannele Holttinen