Efficient energy management system for domestic load using fuzzy logic control
- 1. Efficient Energy Management System for Domestic Load using Fuzzy Logic Control Group members Talha Mujahid Naveed Amin Awais Azeem Muneeb Zahid Supervisor: Engr. Waheed Aftab Khan 1
- 2. Project Outline 1. Introduction 2. Needs and problems 3. Existing Technique 4. Proposed Block Diagram 5. Deliverables & Objectives 6. Project Work Flow 7. References 2
- 3. Introduction Micro Grid collection of several micro sources Renewable energy resources widely available Energy management system controls through a set of algorithms 3
- 4. Introduction Set of rules are developed in fuzzy logic. Fuzzy controllers are very simple conceptually. They consist of an input stage, a processing stage, and an output stage. The processing stage invokes each appropriate rule and generates a result for each, then combines the results of the rules. Finally, the output stage converts the combined result back into a specific control output value. Develop sophisticated control systems. 4 Department of Electrical Engineering
- 5. Introduction 5 Needs and Problems • Electricity shortfall • Excessive amount of Inrush current/transient power. • Expensive and short lifetime of batteries • High tariff rates • National grid uses fossil fuels that are decreasing day by day • MG generation is free of cost
- 6. Introduction Classical Solution Change battery every year/Use very high expensive batteries Proposed Solution Overcome the transients of power using capacitor bank that will improve overall efficiency of MG. 6
- 10. Deliverables and Objectives To develop a system which will improve like Improve battery lifetime Reduce electricity bills Economical beneficial Reliable system 10
- 11. Workflow Phase 1 • Proposal /Concept Phase 2 • Detail study / Implementation Phase 3 • Simulation(100%) Phase 4 • Hardware(100%) 11
- 12. References R.H. Lasseter, "Micro Grids", IEEE Power Engineering Society Winter Meeting, Volume 1, pp. 305-308, (2002) J. LA gorse, M. G. Samos, and A.Miraoui, "A Multivalent Fuzzy Logic-Based Energy Management of Hybrid Systems", IEEE Trans Industry Applications, Vol. 45, No. 6,pp:2123-2129 Dec 2009 S. D. J. McArthur, E. M. Davidson, V. M. Patterson, A. L. Dimes, D. Hatziargyriou, and F. Ponca, "Multi-agent systems for power engineering applications-Part 1: Concepts, approaches, and technical challenges," IEEE Trans. Power Sees., vol. 22, no. 4, pp. 1743-1752, Nov. 2007. 12
- 13. References 13