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| Content Provider | IET Digital Library |
|---|---|
| Author | Sun, Yanping Gao, Yajing Yang, Wenhai Wang, Jingmin Li, Hong |
| Abstract | Load aggregator (LA) needs to fully tap the demand response potential of the resources and aggregates the users with high response capacity and low electricity default rate. This can make LA to improve the market competitiveness and gain greater income. Firstly, the load data of resident users are analysed and compared. The summer typical daily response potential curves of users participating in time-of-use price are obtained. Secondly, the 24 h response values of the user's typical response curve are used as the data set of the spectral clustering based on dual-scale similarities of distance and curve shape to classify the users, and the user's response levels are divided according to the clustering centre of each class. Next, the user optimisation aggregation model of LA considering risk is established. Finally, a practical case study is employed to verify the correctness and validity of the model. |
| Starting Page | 2152 |
| Ending Page | 2157 |
| Page Count | 6 |
| Volume Number | 2017 |
| e-ISSN | 20513305 |
| Issue Number | Issue 13, Jan (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2017/13 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2017.0711 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2017-01-01 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Clustering Centre Demand Response Potential Spectrum Clustering Analysis Demand Side Management Dual-scale Similarities Electricity Default Rate Load Aggregator Market Competitiveness Optimisation Optimisation Technique Pattern Clustering Power Market Power System Economics Power System Managemen Power System Operation Resident User Response Capacity Response Potential Curves Spectral Clustering Time-of-use Price User Optimisation Aggregation Model User Response Levels User Typical Response Curve |
| Content Type | Text |
| Resource Type | Article |
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