Accurate Demand Ｒesponse Modeling and Incentive Strategy of Ｒesidents
Ｒesidential users are great potential audience for demand response. Energy supplier can guide residential users to participate in demand response through incentives and other strategies in the power market. However，it is difficult to quantify demand response of residential users. To solve this probl...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2021-06-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1962 |
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| Summary: | Ｒesidential users are great potential audience for demand response. Energy supplier can guide residential users to participate in demand response through incentives and other strategies in the power market. However，it is difficult to quantify demand response of residential users. To solve this problem，firstly this paper constructs a refined demand response model for residential users. Secondly，this paper reflects the demand response characteristics of different users by constricting two long short-term memory ( LSTM) networks. Finally，on this basis，the refined demand response model is used to calculate the optimal incentive for different users and get the most economic incentive strategy. The simulation results show that the demand response coefficient established in this paper can correctly reflect the user's demand response habits. Using the refined demand response model，the energy supplier can give full play to the user side demand response，reduce the demand response cost and improve the overall economy. |
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| ISSN: | 1007-2683 |