LAPSE:2023.20126
Published Article
LAPSE:2023.20126
Intelligent Dynamic Pricing Scheme for Demand Response in Brazil Considering the Integration of Renewable Energy Sources
March 10, 2023
This paper proposes a novel dynamic pricing scheme for demand response with individualized tariffs by consumption profile, aiming to benefit both customers and utility. The proposed method is based on the genetic algorithm, and a novel operator called mutagenic agent is proposed to improve algorithm performance. The demand response model is set by using price elasticity theory, and simulations are conducted based on elasticity, demand, and photovoltaic generation data from Brazil. Results are evaluated considering the integration effects of renewable energy sources and compared with other two pricing strategies currently adopted by Brazilian utilities: flat tariff and time-of-use tariff. Simulation results show the proposed dynamic tariff brings benefits to both utilities and consumers. It reduces the peak load and average cost of electricity and increases utility profit and load factor without the undesirable rebound effect.
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Keywords
demand response, dynamic pricing, electricity tariff, Genetic Algorithm, Renewable and Sustainable Energy
Subject
Suggested Citation
Vilar DB, Affonso CM. Intelligent Dynamic Pricing Scheme for Demand Response in Brazil Considering the Integration of Renewable Energy Sources. (2023). LAPSE:2023.20126
Author Affiliations
Journal Name
Energies
Volume
14
Issue
16
First Page
4839
Year
2021
Publication Date
2021-08-09
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en14164839, Publication Type: Journal Article
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Published Article
LAPSE:2023.20126
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doi:10.3390/en14164839
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[v1] (Original Submission)
Mar 10, 2023
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Mar 10, 2023
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