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
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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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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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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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