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  • 1. POWER QUALITY ENHANCEMENT IN AUTONOMOUS MICROGRID USING ANT COLONY OPTIMIZATION by PRABAAKARAN. K, Assistant Professor (EEE) SKP Engineering College Tiruvannamalai Tamilnadu
  • 2. ABSTRACT  To analyze & improve the Power Quality of Microgrid.  Voltage, Frequency regulation and Power Sharing are the main performance parameters.  Ant Colony Optimization is an intelligent searching algorithm that is applied for real-time self-tuning of the Power control parameters. 2
  • 3. INTRODUCTION  Microgrid – Cluster of Distributed Generation (DG) Units that are interfaced with Electrical Distribution network using Power Electronic devices.  It is also defined as “Subsystem of Distributed Energy Sources & their Associated Loads” 3
  • 4. DISTRIBUTED GENERATION (DG) Emerging concept to Decentralize the Management of Electricity Production.  Seems Distributed Storage Energy System  Higher Operating Efficiency, Lower Emission level  Fuel Cells, PV Cells, Batteries, Micro turbine, Wind turbine etc.  4
  • 5. STRUCTURE OF MICROGRID 5
  • 6. OPERATING MODES GRID CONNECTED MODE  Here Micro sources are connected to the Grid.  They share the loads in Grid AUTONOMOUS MODE  Bypass switch open – Autonomous Mode  Micro Sources feed system responsible for Nominal Voltage & Frequency , Stability, when Power is Shared by Generation Units. TRANSITION MODE  Grid connected to Islanding mode Change of loads 6
  • 7. ARTIFICIAL INTELLIGENCE TECHNIQUES Genetic Algorithm (GA)  Ant Colony Optimization (ACO)  Particle Swarm Optimization (PSO)  Bacterial Foraging Optimization (BFO)  Artificial Bee Colony (ABC)  Artificial Neural Network (ANN)  Fuzzy Logic Technique  Neuro - Fuzzy Technique (hybrid)  7
  • 8. ANT COLONY OPTIMIZATION (ACO) ACO – Natural behavior of Ant- develops mechanisms of co-operation and learning  Population-based stochastic optimization technique developed by Dorigo & Stutzle in 1992  Fast convergence and efficient  8
  • 9. ANT COLONY OPTIMIZATION  Ants (blind) go through the food while laying down pheromone trails  Shortest path is discovered via pheromone trails each ant moves at random (first)  pheromone is deposited on path  Shorter path, more pheromone rails (positive feedback system)  ants follow the intense pheromone trails  9
  • 10. Behaviour of ANT (ACO) 10
  • 11. FLOW CHART 11
  • 12. DESIGN OF AUTONOMOUS MICROGRID 12
  • 13. PROPOSED POWER CONTROLLER 13
  • 14. PROPOSED CURRENT CONTROLLER 14
  • 15. BLOCK DIAGRAM OF SIMULINK Pulse signal Constant DC Source Control Signal Voltage Source Inverter LOAD Constant DC Source STS GRID Voltage Source Inverter Pulse signal Control Signal 15
  • 16. KP & KI SEARCH PROCESS 16
  • 17. LOAD ACTIVE POWER 17
  • 18. LOAD REACTIVE POWER 18
  • 19. DG1 ACTIVE & REACTIVE POWER 19
  • 20. DG2 ACTIVE & REACTIVE POWER 20
  • 21. VOLTAGE REGULATION 21
  • 22. FREQUENCY REGULATION 22
  • 23. CONCLUSION & FUTURE WORK  Proposed controller shows excellence response and the simulation results validated that the Power quality enhancement is attained.  Future enhancement is to carry out “Analysis of Harmonics” in autonomous microgrid using ACO algorithm. 23
  • 24. REFERENCES  Waleed Al-Saedi,et al, “Power quality enhancement in autonomous microgrid operation using PSO”,Elsevier 2012  Yunwei Li, Student Member, IEEE, D. Mahinda Vilathgamuwa, Senior Member, IEEE,and Poh Chiang Loh, Member, IEEE, “ Microgrid Power Quality Enhancement Using a Three-Phase Four-Wire Grid-Interfacing Compensator ” IEEE transaction 2010.  Mostafa I. Marei, Ehab F. El-Saadany and Magdy M. A.Salama, “ A Flexible DG Interfaced Based on a New RLS Algorithm for Power Quality Improvement”, IEEE System Journal, vol.6, no.1, Mar. 2012.  Tomas Hornik and Qing-Chang Zhong, “ A Current- Control Strategy for Voltage –Source Inverter in Microgrids Based on Repetitive Control”, IEEE Transactions on Power Electronics, vol. 26, no.3, Mar. 2011.  Mahesh Illindala and Giri Venkataramanan, “Frequency/Sequency Selective Filter for Power Quality Improvement in a Microgrid,” IEEE Transaction on Smart Grid, Apr.2012. 24
  • 25.  Yasser Abdel-Rady Ibrahim Mohammed. Et al, “Seamless formation and robust control of distributed generation microgrids via direct voltage control and optimized dynamic power sharing”, IEEE Transactions on Power Electronics, vol. 27, No.3, Mar. 2012  R.H.Lasseter, “Microgrids,” in Proc. Power Eng. Soc.Winter Meeting, 2002, vol.1, pp. 305-308  Robert.Lasseter. Et al, “White paper on integration of distribution energy resource:The CERTS microgrid concepts”, California energy commission2002. 25
  • 26. PUBLICATION & PRESENTATION      Presented & Published a paper titled in “Power Quality Enhancement in Microgrid – A Survey” in IEEE Digital library. Published a Paper titled in “Power Quality Improvement in an Autonomous Microgrid under Nonlinear Load using Control Strategies” in International Journal of Engineering & Technology, vol.5.no.4. AugSep 2013. Published a Paper titled in “ ACO adopted Control strategies for Power quality enhancement in autonomous microgrid” in International Journal of Computer Application (IJCA) vol.63. no. 13. Feb – 2013. Presented a Paper titled in “Power quality enhancement in microgrid using Ant Colony Optimization” in National Conference and won “Best Paper Award”. Article under review titled in “Survey on Microgrid: Power Quality Improvement Techniques” in Scientific Research in Hindawi Publication. 26
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