Abstract
The demand response model of household microgrid based on satisfaction of customers is proposed after the users’ habit of using electricity which is found from the historical electricity data and aims at the problems of the load diversity of the household microgrid and the improvement of user satisfaction in response process, combined with the demand response theory of the users and the thought of data mining. The demand response strategy model based on users’ satisfaction is designed with the research of demand response behavior integrated with user’s side experience. The model takes the user's demand responsiveness as the load constraint, takes user’s comprehensive satisfaction maximum as the demand response objective, and takes the bacterial colony chemotaxis hybrid algorithm to solve the model. Finally, the optimal load power consumption plan is obtained as the user’s demand response strategy. The experimental simulation results verify the energy-saving effect of the model and the effectiveness of the algorithm.
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Acknowledgements
This work are supported by the Science and Technology Development Projects of Jilin Province of China (grant numbers: 20180101335JC, 20180201092GX and 20170204002GX).
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Guo, X., Sun, Y., Feng, L., Qu, C., Sun, T. (2021). Demand Response Strategy Model Based on User Satisfaction. In: Pan, JS., Li, J., Namsrai, OE., Meng, Z., Savić, M. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 211. Springer, Singapore. https://doi.org/10.1007/978-981-33-6420-2_46
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DOI: https://doi.org/10.1007/978-981-33-6420-2_46
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