Research on Demand Response Strategies for Photovoltaic – Energy Storage – Charging Integrated Power Stations Based on the Elasticity of Power Supply and Demand
With the rapid development of renewable energy and electric vehicles, the application of integrated photovoltaic storage and charging power stations in smart grids is becoming increasingly widespread. Improving the supply and demand balance capacity and response speed of the power system has become a key issue that urgently needs to be solved at present. Based on the theory of power supply and demand elasticity, where the elasticity coefficient ranges from 0.2 to 1.8 and the time scale is 15 minutes, this paper proposes a demand response strategy for integrated photovoltaic storage and charging power stations. Firstly, by analyzing the characteristics of supply and demand elasticity changes, a dynamic model describing the interaction between photovoltaic power generation, energy storage systems and electric vehicle charging loads was constructed; Then, based on different assumptions of supply and demand elasticity, an optimized demand response strategy aimed at improving the economic benefits of the system and the stability of power supply and demand balance is proposed. The effectiveness of the demand response strategy under different supply and demand elasticity scenarios was verified through simulation analysis. The results show that reasonable adjustment of supply and demand elasticity can significantly improve the dispatching flexibility and response capacity of the power system, and promote the efficient utilization of green energy at the same time.
Authors
- Yifei Ni (ORCID: https://orcid.org/0000-0002-0569-959X)
- Qin Zhou (ORCID: https://orcid.org/0000-0002-2882-148X)
- Fan Yang (ORCID: https://orcid.org/0000-0002-1157-8719)
- Hong Zheng (ORCID: https://orcid.org/0000-0002-9494-2116)
- Fu Han (ORCID: https://orcid.org/0000-0003-2353-5406)
Institutions
- State Grid Corporation of China (China) (CN)
Publication Details
- Journal
- Strategic Planning for Energy and the Environment
- Published
- 2025-06-22
- DOI
- https://doi.org/10.13052/spee1048-5236.4428
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00