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A Residential Energy Control Algorithm Assessment Tool for Smart Grid: Multi-Criteria Decision Making Using the Analytical Hierarchy Process

Published

Author(s)

Farhad Omar

Abstract

For homes to become active participants in a smart grid, intelligent control algorithms are needed to facilitate autonomous interactions that take homeowner preferences into consideration. Many control algorithms for demand response have been proposed in the literature. Comparing the performance of these algorithms has been difficult because each algorithm makes different assumptions or considers different scenarios, i.e., peak load reduction or minimizing cost in response to the variable price of electricity. This work proposes a flexible assessment framework using the Analytical Hierarchy Process to compare and rank residential energy management control algorithms. The framework is a hybrid mechanism that derives a ranking from a combination of subjective user input representing preferences, and objective data from the algorithm performance related to energy consumption, cost and comfort. The Analytical Hierarchy Process results in a single overall score used to rank the alternatives. The approach is illustrated by applying the assessment process to six residential energy management control algorithms.
Proceedings Title
Proceeding of IEEE PES Conference on Innovative Smart Grid Technologies 2020
Conference Dates
February 17-20, 2020
Conference Location
Washington DC, DC, US
Conference Title
Innovative Smart Grid Technologies 2020

Keywords

AHP, Analytical Hierarchy Process, assessment of control algorithms, assessment, assessment and ranking, assessment engine, energy management control algorithms, MADA, MCDM, multi criteria decision making, performance assessment, ranking, residential control algorithms

Citation

Omar, F. (2020), A Residential Energy Control Algorithm Assessment Tool for Smart Grid: Multi-Criteria Decision Making Using the Analytical Hierarchy Process, Proceeding of IEEE PES Conference on Innovative Smart Grid Technologies 2020, Washington DC, DC, US (Accessed May 19, 2024)

Issues

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Created February 18, 2020, Updated April 15, 2024