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Multi-objective optimal dispatch of household flexible loads based on their real-life operating characteristics and energy-related occupant behavior

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Building Simulation 2023年第11期16卷 2005-2025页

作者： Zhengyi Luo Jinqing Peng Maomao Hu Wei Liao Yi Fang College of Civil Engineering Hunan UniversityChangshaHunanChina Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education ChangshaHunanChina Department of Energy Science and Engineering Stanford UniversityStanfordCA94305USA

A model-based optimal dispatch framework was proposed to optimize operation of residential flexible loads considering their real-life operating characteristics,energy-related occupant behavior,and the benefits of different stakeholders.A pilot test was conducted for a typical *** to the monitored appliance-level data,operating characteristics of flexible loads were identified and the models of these flexible loads were developed using multiple linear regression and K-means clustering ***,a data-mining approach was developed to extract the occupant energy usage behavior of various flexible loads from the monitored *** behavior of appliance usage,such as daily turn-on times,turn-on moment,duration of each operation,preference of temperature setting,and flexibility window,were determined by the developed data-mining *** on the established flexible load models and the identified occupant energy usage behavior,a many-objective nonlinear optimal dispatch model was developed aiming at minimizing daily electricity costs,occupants’dissatisfaction,CO_(2) emissions,and the average ramping index of household power *** model was solved with the assistance of the NSGA-III and TOPSIS *** indicate that the proposed framework can effectively optimize the operation of household flexible *** with the benchmark,the daily electricity costs,CO_(2) emissions,and average ramping index of household power profiles of the optimal plan were reduced by 7.3%,6.5%,and 14.4%,respectively,under the TOU tariff,while those were decreased by 9.5%,8.8%,and 23.8%,respectively,under the dynamic price *** outputs of this work can offer guidance for the day-ahead optimal scheduling of household flexible loads in practice.

关键词： household load flexibility flexible load modeling occupant energy usage behavior many-objective optimal dispatch NSGA-III

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