A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model

One-level optimization methods have been proposed to optimize the load profile of a single user or a cluster of users in the smart grids. In this work, two two-level optimization methods are studied, one considering technical requirements and other considering economic criteria. In the upper level,...

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Bibliographic Details
Published in:Revista IEEE América Latina 2021-09, Vol.19 (9), p.1494-1501
Main Authors: Bragagnolo, Sergio Nicolas, Vaschetti, Jorge Carlos, Magnago, Fernando
Format: Article
Language:English
Subjects:
Criteria
Demand Response
Demand side management
Economic models
Economics
Genetic Algorithm
Genetic algorithms
IEEE transactions
Indirect control
Multilevel Optimization
Optimization
Optimization methods
Optimization models
Silicon compounds
Smart grid
Smart grids
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Summary:One-level optimization methods have been proposed to optimize the load profile of a single user or a cluster of users in the smart grids. In this work, two two-level optimization methods are studied, one considering technical requirements and other considering economic criteria. In the upper level, the supplier optimizes it objective function. Meanwhile, at the lower level, users optimize their electrical costs. The proposed methods are based on genetic algorithm methods. In this sense, an indirect control is established in which users react to a price signal. Simulations results illustrate that both cases improve the demand profile and increase the retailer profit. However, when the supplier tries to maximize the profit, some users receive benefits in detriment of others, concluding that the technical approach is preferable than the economical one.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2021.9468442