1. Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities Kwami Senam Sedzro Ph.D. Student, Electrical Engineering Lehigh University Larry Snyder Associate Professor, Industrial & Systems Engineering Lehigh University

2. Agenda Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities Problem Statement System Layout Control Strategy Results Future Work Conclusion

3. Problem Statement Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities Wind Intermittency => Grid reliability issues (ISO) + Limited Market opportunities (WF) Wind farms can benefit from this variability of price

4. System layout Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities Energy Market Pb-Ac Li-Ion NaS Zebra (Sodium Nickel Chloride) Flow Battery Ni-Cd Battery storage review* *http://www.sandia.gov/ess/publications/EPRI-DOE%20ESHB%20Wind%20Supplement.pdf

5. Control Strategy: Optimization/DP Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities Objective : Maximize the Wind Farm’s REVENUE

6. Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities Objective function (recursion) Constraints Control Strategy: Optimization/DP Inventory Model

7. Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities Control Strategy: Optimization/DP Inventory Model Bidding policyx=0x=1x=2x=3x=4x=5x=6x=7x=8x=9x=10 t=12930313233 t=22526272829 t=33233343536 t=4323334353637 t=520 212223242526272824 t=611 121314151617181915 t=710 1112131415161718 t=891011121314 1314 t=9-2 -25634566 t=10-3 -252 t=11 123456777 t=1245678888888 t=13-2 4566 6666 t=14-2 56666666 t=153456777776 t=1611234512345 t=1700123456785 t=1889101112 t=191213141516 t=202021222324 t=21212223242526272829 t=222324252627 t=23262728293031323334 t=243031323334

8. Presented by Kwami Senam Sedzro Master’s Eng. Electrical Engineering Master’s Research Engineering Sciences/EE Master’s Eng. ESE Student / Fulbright Scholar Results Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities For 1 day:

9. Results: DAM/RTM Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities

10. Results: DART/RTM Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities

11. Results : Revenue per Storage capacity – 10, 20 & 30 MWh Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities

12. Results : Revenue per Storage capacity Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities As storage capacity increases, the DAM strategic bidding profit tends to catch up with the mixt (RT-DA) bidding

13. Future Work Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities Integrate in the analysis: Stochasticity of Wind power generation o account for intertemporal probability distribution o compare online decision vs ex-ante strategy Lifecycle cost evaluation of energy storage Grid stability constraints

14. Conclusion Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities This project resulted in the development of algorithms that maximize wind farms’ revenue by optimally dispatching wind and energy storage systems on daily basis, based on energy market prices and wind power forecasts The revenue as a function of the storage capacity is presented. Wind power producers will be able to have a significant share even in the day-ahead market With more data (at least 10 years), we can build a RTMP/DAMP model in order to predict when to bid into the DAM or into the RTM The extra $ gained in the DAM and the grid reliability made possible by this project are reasons for its implementation

15. Optimization of Wind and Storage Dispatch for Enhanced Market Opportunities THANK YOU FOR YOUR ATTENTION QUESTION