OPTIMIZATION CONTROL OF ENERGY MANAGEMENT WITHIN GRID CONNECTED MICROGRIDS ON SCHEDULED TRACTION OF HIGH SPEED RAILWAYS

1. OPTIMIZATION CONTROL OF ENERGY
MANAGEMENT WITHIN GRID CONNECTED
MICROGRIDS ON SCHEDULED TRACTION
OF HIGH SPEED RAILWAYS
Presented By
Mrs. Nellore Yamini
(17711D0709)
Guided By
Mrs. N. Santhi Kumari, M.Tech
NARAYANA ENGINEERING COLLEGE NELLORE
SEMINAR PRESENTATION
ON

2. INTODUCTION
RAPID TRANSIT SYSTEM
PROPOSED STRATERGIES
PROPOSED MODEL
CONCLUSION
FUTURE SCOPE
CONTENTS

3. With The Possibility Of Regenerative Braking Light Rail Trains Can
Decelerate Almost Wearless.
This Seminar Topic Presents An Operational Strategy For A Microgrid-
connected Wayside Energy Storage Device Within A Light Rail Application.
This Strategy Is Based On A Mixed Integer Linear Program Optimization
Formulated Over A Rolling Horizon Frame.
Robust Optimization Theory Is Used To Create A Robust Counterpart
Formulation .
Power Profile Shaping Oriented Goals .
ABSTRACT

4. Global Electricity Generation Remains Highly Dependent On Fossil Fuels.
The Effects Of Climate Change With 25% Of The Global GHG Emissions.
Increase Of 58% In Global Power Demand Is Foreseen For The Year 2040.
INTRODUCTION

5. Adoption Of New Energy Sources That Offer Sensible And Sustainable
Alternatives To Fossil Fuels.
Renewables Are Intermittent In Nature.
Microgrid Forms An Effective Framework.
Dynamic Braking.
A Novel Approach Is To Consider The Recovered Energy From The Braking
Phase .
A High Level Power Optimizer .

6. Voltage Levels Recommended Defined By Standard IEC6085.
LVDC is Preferred .
Rectifying Stations.
Converter Has Passive Topology.
RAPID TRANSIT SYSTEM

7. ENERGY FLOW

8. Strategies Of
Maximizing
Efficiency
Optimizing
Scheduled
Timetables
Reversible
Substations
Stationary
ESS
Loss
Reduction
On-board
Esss
PROPOSED STATERGIES

10. STORAGE SYSTEMS
Sensors Installed.
Controllers Main Objective Is To Optimize The Ess Performance.
Soc

11. The Objective Of The Optimization Problem Is To Minimize The Economic
Costs Of Operation Of The Microgrid Over A Predefined Time Horizon H .
Robust Optimization Eliminates The Deviation Of Uncertainty Set.
Load Shedding ,Load Balance, Peak Shaving, Power Smoothing, Grid
Interaction.

12. PROPOSED MODEL

13. Deterministic MILP Problem Formulation
Robust Optimization
Minimize Q
Subject To Constraints Fo−q≤0,
Where Q Is The Optimization Variable QєR
OPTIMIZATION OF PROBLEM

14. ALGORITHM FOR AMPL MODEL

15. FLOWCHART

16. This Work Presents Modeling And Optimization Solutions For The Energy
Management Problem For Grid-connected Microgrids .
This Paradigm Is Deployed To Design A High-level Control Strategy, Or
Energy Management System (EMS), For An Energy Storage System (ESS)
In A Light Rail System.
The Optimization Is Carried Out By The Mixed-integer Linear Program
(Milp) Defined Above.
An Integrated Receding Horizon Framework Involving Problem Specific
Forecasting Techniques For The Uncertain Parameters.
CONCLUSION

17. Detailed Study Of The Behavior Of The Controller .
The Ultimate Goal Of Creating A Virtual Power Plant To Exchange
Power With The Main Distribution Grid.
Further Cost Reduction And Energy Savings.
The Introduction Of More Advanced Evolutionary Algorithms To
Enhance The Quality Of Constructed Prediction Intervals.
FUTURE SCOPE

18. ANY QUERIES ?

19. THANK YOU