The document outlines a proposed energy management system for domestic microgrids using fuzzy logic control, addressing issues like electricity shortfall and high battery costs. It highlights the need for an efficient system that improves battery lifetime and reduces electricity bills while providing reliability. The project is structured into phases including proposals, detailed studies, simulations, and hardware implementations.

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
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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
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3. Introduction
 Micro Grid collection of several micro sources
 Renewable energy resources widely available
 Energy management system controls through a set of algorithms
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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.
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Department of Electrical Engineering

5. Introduction
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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.
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7. Existing Methods 7

8. Working flowchart 8

9. Proposed Block Diagram 9

10. Deliverables and Objectives
 To develop a system which will improve like
 Improve battery lifetime
 Reduce electricity bills
 Economical beneficial
 Reliable system
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11. Workflow
Phase 1
• Proposal /Concept
Phase 2
• Detail study / Implementation
Phase 3
• Simulation(100%)
Phase 4
• Hardware(100%)
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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.
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13. References 13