Optimal regulation of demand-side resource aggregation involving load aggregators under low-carbon background
Large-scale new energy access to power system brings great challenge under double-carbon background, and demand-side resource (DSR) provides an important solution for power system regulation. However, a large number of distributed DSRs are limited to participating power system regulation because of their market size and the ability to participate in the scheduling, and thus lead to the lack of market competitive and low actual response of these DSRs at present. An optimal regulation method of DSR aggregation with the participation of load aggregators (LAs) is proposed, considering carbon emission and multi-type demand response. Firstly, the multi-level management mode of DSRs is introduced. Secondly, aiming at the lowest economic cost and the lowest carbon emission, a DSR aggregation optimization regulation model was established considering carbon emission and multi-type demand response. Finally, the validity of the optimal scheduling model is verified by simulation solution. The simulation results show that the model can effectively reduce the economic cost and carbon emissions of the resource subject on the demand side, reduce the energy cost of distributed DSRs by 5%, improve the level of resource management on the demand side, and provide an effective means for the economic optimization and regulation of the power grid under the requirements of low carbon and toughness.
Authors
- Dan Li (ORCID: https://orcid.org/0000-0001-9832-8976)
- Ziteng Liu (ORCID: https://orcid.org/0000-0002-5791-6015)
- Chengcheng Fu (ORCID: https://orcid.org/0000-0001-8623-848X)
- Zhenlan Dou (ORCID: https://orcid.org/0000-0003-4537-2089)
- Bo Pan (ORCID: https://orcid.org/0000-0003-3680-1451)
- Yichen Liu (ORCID: https://orcid.org/0000-0003-3804-2970)
- Dexiang Jia
Institutions
- Energy Research Institute (CN)
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1117/12.3034097
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00