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Study on multi-type flexible load control method of active distribution network based on dynamic time-sharing electricity price

Jindong Cui, Zihan Ran, Wei Shen and Yechun Xin

Applied Energy, 2024, vol. 357, issue C, No S0306261923018433

Abstract: Accurate load control is the basis of safe operation and optimal dispatching in active distribution network, and the demand response system of flexible electricity price mechanism and incentive mechanism is the premise of load control. Aiming at the complexity increase of load control caused by the integration of conventional loads, electric vehicles, and micro-grid multi-type user loads in the existing active distribution network, this study comprehensively takes the power consumption willingness of multiple typesof users in active distribution network into account for the first time. This study dominated by the user willingness selects a typical active distribution network load-related data onto a certain area to conduct a calculation example analysis. Firstly, a multi-type user load demand response model of active distribution network is constructed. Then, in order to achieve flexible control of active distribution network loads, a dynamic time-of-use electricity price game model considering the target function and the willingness of multiple usersis proposed, in order to achieve the maximum of user satisfaction and interests of power supply enterprises. Furthermore, the example results are compared with the intrinsic electricity price.Finally, the simulation results show that the time-of-use price established by the multi-type user load game is effective inguiding users to adjust their power consumption habits, making the load curve shift, controlling the electricity load within the maximum power supply limit, and thus alleviating the pressure of power grid expansion.

Keywords: Willingness of multi-type users to use electricity; Micropower grid; Electric vehicles; Demand response; Flexible load control (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2023.122479

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