Privacy-Preserving Energy Scheduling for Smart Grid With Renewables
We consider joint demand response and power procurement to optimize the average social welfare of a smart power grid system with renewable sources. The renewable sources such as wind and solar energy are intermittent and fluctuate rapidly. As a consequence, the demand response algorithm needs to be...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9046244/ |
| _version_ | 1818920556838256640 |
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| author | Kai Yang Libin Jiang Steven H. Low Sijia Liu |
| author_facet | Kai Yang Libin Jiang Steven H. Low Sijia Liu |
| author_sort | Kai Yang |
| collection | DOAJ |
| description | We consider joint demand response and power procurement to optimize the average social welfare of a smart power grid system with renewable sources. The renewable sources such as wind and solar energy are intermittent and fluctuate rapidly. As a consequence, the demand response algorithm needs to be executed in real time to ensure the stability of a smart grid system with renewable sources. We develop a demand response algorithm that converges to the optimal solution with superlinear rates of convergence. In the simulation studies, the proposed algorithm converges roughly thirty time faster than the traditional subgradient algorithm. In addition, it is fully distributed and can be realized either synchronously or in asynchronous manner, which eases practical deployment. |
| first_indexed | 2024-12-20T01:23:38Z |
| format | Article |
| id | doaj.art-2802e2d4b74c49e4a460b87309e93d9a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T01:23:38Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2802e2d4b74c49e4a460b87309e93d9a2022-12-21T19:58:18ZengIEEEIEEE Access2169-35362020-01-01813232013232910.1109/ACCESS.2020.29831109046244Privacy-Preserving Energy Scheduling for Smart Grid With RenewablesKai Yang0https://orcid.org/0000-0002-5983-198XLibin Jiang1Steven H. Low2https://orcid.org/0000-0001-6476-3048Sijia Liu3https://orcid.org/0000-0003-2817-6991Department of Computer Science, Tongji University, Shanghai, ChinaGoogle, Mountain View, CA, USADivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USAMIT-IBM Watson AI Lab, IBM Research, San Jose, CA, USAWe consider joint demand response and power procurement to optimize the average social welfare of a smart power grid system with renewable sources. The renewable sources such as wind and solar energy are intermittent and fluctuate rapidly. As a consequence, the demand response algorithm needs to be executed in real time to ensure the stability of a smart grid system with renewable sources. We develop a demand response algorithm that converges to the optimal solution with superlinear rates of convergence. In the simulation studies, the proposed algorithm converges roughly thirty time faster than the traditional subgradient algorithm. In addition, it is fully distributed and can be realized either synchronously or in asynchronous manner, which eases practical deployment.https://ieeexplore.ieee.org/document/9046244/Demand responsesmart gridrenewable sourcesdistributed algorithmconvergence analysis |
| spellingShingle | Kai Yang Libin Jiang Steven H. Low Sijia Liu Privacy-Preserving Energy Scheduling for Smart Grid With Renewables IEEE Access Demand response smart grid renewable sources distributed algorithm convergence analysis |
| title | Privacy-Preserving Energy Scheduling for Smart Grid With Renewables |
| title_full | Privacy-Preserving Energy Scheduling for Smart Grid With Renewables |
| title_fullStr | Privacy-Preserving Energy Scheduling for Smart Grid With Renewables |
| title_full_unstemmed | Privacy-Preserving Energy Scheduling for Smart Grid With Renewables |
| title_short | Privacy-Preserving Energy Scheduling for Smart Grid With Renewables |
| title_sort | privacy preserving energy scheduling for smart grid with renewables |
| topic | Demand response smart grid renewable sources distributed algorithm convergence analysis |
| url | https://ieeexplore.ieee.org/document/9046244/ |
| work_keys_str_mv | AT kaiyang privacypreservingenergyschedulingforsmartgridwithrenewables AT libinjiang privacypreservingenergyschedulingforsmartgridwithrenewables AT stevenhlow privacypreservingenergyschedulingforsmartgridwithrenewables AT sijialiu privacypreservingenergyschedulingforsmartgridwithrenewables |