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Residential token system based demand response using differential evolution algorithm
Sajjanapu, Varalaxmi
Sajjanapu, Varalaxmi
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2023-05
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Abstract
Demand response programs are highly beneficial for the consumers, system operators as
well as the environment and are one of the most price effective methods for ancillary service
support, integration of renewable energy and peak - load reduction. About 33% of all electricity
is used for residential use, which means there is huge potential for DR applications. Usage of this
concept reduces the stress of power generation on the utility and gives opportunity to the
consumers to participate in the electricity market. The main purpose of demand response can be
justified by applying it to the residential sector as they are more flexible to shift their load
consumption. This thesis proposes implementing a token system-based network from computer
networking for the selection of residents to receive incentives from the utility. Further, a
differential evolution algorithm is used to optimize and reschedule the hours of power usage for
residential loads of a day based on the real time pricing scheme. The proposed algorithm was
tested on MATLAB and the results are presented in chapter 5.
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Thesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering
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Wichita State University
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