1. Considering impacts of PEVs in planning optimal hybrid systems
K. N. Toosi University
Considering impacts of PEVs in planning optimal hybrid systems
Hamed V. HAGHI
M. A. GOLKAR
S. M. HAKIMI

2. Main Topics General Outline Hybrid Active System with PEVs - Modeling
The Stochastic-Heuristic Algorithm
Results
Conclusion
Main Topics
Haghi – Iran – RIF Session 4 – Paper 0664

3. Studied Problem: Optimal Sizing - both the generation side and the load side are distributed
Haghi – Iran – RIF Session 4 – Paper 0664

4. General Outline
High penetration of stochastic energy flows spatially distributed throughout Microgrid
Variable generation (Wind, PV, etc)
Variable load demand (PEVs, etc)
Representation of PEV load variations
daily load shape
locational displacement
Haghi – Iran – RIF Session 4 – Paper 0664

5. General Outline
Strong dependence structure of load, generation and storage behavior over a year
Time dependence
 Wind power autoregressive behavior impacts in planning storage (Markov chain fails for example)
Multivariate dependence
 Correlation between load and generation
Haghi – Iran – RIF Session 4 – Paper 0664

6. General Outline – Scenario-based Optimization
Planning for net load
 capture both spatial and temporal diversity of PEV
Stochastic simulation (Monte Carlo approach)
 variability of PEV load on a multivariate modeling
Particle swarm optimization (PSO)
 optimization subroutine
Haghi – Iran – RIF Session 4 – Paper 0664

7. Main Topics General Outline Hybrid Active System with PEVs - Modeling
The Stochastic-Heuristic Algorithm
Results
Conclusion
Main Topics
Haghi – Iran – RIF Session 4 – Paper 0664

8. Hybrid Active System - Optimization
Multi-objective optimization problem - weighted sum method
Haghi – Iran – RIF Session 4 – Paper 0664

9. Hybrid Active System with PEVs
By inserting impacts of PEVs on net load of system through a multivariate modeling
PEVs can cause a reversal of power flow through the distribution system
distribution network rely on a coincidence factor of loads for sizing all of the system’s components
Haghi – Iran – RIF Session 4 – Paper 0664

10. Hybrid Active System with PEVs
Probability of coincident operation of PEVs is much higher
PEV controlled charging
Actual demands are quite modest compared to normal electricity demands
Additional benefits as some kind of DSM
controlled charging, with 20% randomness
Haghi – Iran – RIF Session 4 – Paper 0664

11. PEVs Impact – Scenario-based Representation
Haghi – Iran – RIF Session 4 – Paper 0664

12. Modeled planning dataset
Net load with no PEV
Net load with 20% partially controlled PEV demand based on DSM indexes
wind speed
Haghi – Iran – RIF Session 4 – Paper 0664

13. Main Topics General Outline Hybrid Active System with PEVs - Modeling
The Stochastic-Heuristic Algorithm
Results
Conclusion
Main Topics
Haghi – Iran – RIF Session 4 – Paper 0664

14. Scenario-based Optimization
Scenarios, all together, represent long-term behaviour of PEV load and wind
Optimal set, considering uncertain variables space, to be analysed
Haghi – Iran – RIF Session 4 – Paper 0664

15. Main Topics General Outline Hybrid Active System with PEVs - Modeling
The Stochastic-Heuristic Algorithm
Results
Conclusion
Main Topics
Haghi – Iran – RIF Session 4 – Paper 0664

16. Results – Benefits of Adding Controlled PEV
Distributions of differences when the results of scenarios without PEV are subtracted from the results of scenarios with 20% PEV penetration
Haghi – Iran – RIF Session 4 – Paper 0664

17. Differences – Optimal Sizes with and without PEVsWT FC EL HT
Haghi – Iran – RIF Session 4 – Paper 0664

18. Results – Optimal Sizes Correlation
Haghi – Iran – RIF Session 4 – Paper 0664

19. Simulated size sets for all 12,000 samples
Haghi – Iran – RIF Session 4 – Paper 0664

20. Main Topics General Outline Hybrid Active System with PEVs - Modeling
The Stochastic-Heuristic Algorithm
Results
Conclusion
Main Topics
Haghi – Iran – RIF Session 4 – Paper 0664

21. Conclusions A PSO-embedded stochastic simulation
Realistic modeling of the wind power and load demand data
A set of optimal sizes are obtained as final outputs which is then analyzed to provide a measure for making the optimal decision
Haghi – Iran – RIF Session 4 – Paper 0664

22. Conclusions
A worthwhile optimal selection would be the mean values of all scenarios at the cost of reducing the reliability, but to an acceptable level most of the time
Sensitivity analysis of optimal sets
Other relationships could also be implied to help decision-maker
Haghi – Iran – RIF Session 4 – Paper 0664

23. Thank You! Contact: Hamed VALIZADEH HAGHI PhDc, P.Eng
Faculty of Electrical and Computer Engineering
K. N. Toosi University of Technology, Tehran , Iran
+98 (21)