User Side Resource Electricity Consumption Guidance Strategy Based on Satisfaction Matching

The increasing integration of user-side resources (USR) into power system regulation introduces heightened complexity and unpredictability in managing these resources, primarily due to their dependence on user preferences. Traditional power management strategies frequently overlook the fluctuating willingness of users to participate in regulatory tasks, resulting in inefficiencies and underutilization of resources. This paper discusses an electricity supply and demand matching strategy predicated on satisfaction matching, which seeks to harmonize user preferences with the operational demands of the power system, thus reducing the regulatory uncertainty associated with USRs. We have developed a model that employs satisfaction metrics to optimally align USRs with power system regulation tasks, enhancing both overall system efficiency and user satisfaction. Simulative analyses underscore that this strategy significantly bolsters the reliability and efficacy of USR scheduling, surpassing conventional management methods.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922554
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

User Side Resource Electricity Consumption Guidance Strategy Based on Satisfaction Matching

Gang Liu, Tao Zheng, Xianliang Teng, Yufeng Yang
Power Systems and Renewable Energy
article

User Side Resource Electricity Consumption Guidance Strategy Based on Satisfaction Matching

Gang Liu, Tao Zheng, Xianliang Teng, Yufeng Yang
article en

Abstract

The increasing integration of user-side resources (USR) into power system regulation introduces heightened complexity and unpredictability in managing these resources, primarily due to their dependence on user preferences. Traditional power management strategies frequently overlook the fluctuating willingness of users to participate in regulatory tasks, resulting in inefficiencies and underutilization of resources. This paper discusses an electricity supply and demand matching strategy predicated on satisfaction matching, which seeks to harmonize user preferences with the operational demands of the power system, thus reducing the regulatory uncertainty associated with USRs. We have developed a model that employs satisfaction metrics to optimally align USRs with power system regulation tasks, enhancing both overall system efficiency and user satisfaction. Simulative analyses underscore that this strategy significantly bolsters the reliability and efficacy of USR scheduling, surpassing conventional management methods.

NARI Group (China) (CN)
Openalex Percentile: Top 66%
Power Systems and Renewable Energy
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