Electric Power ›› 2024, Vol. 57 ›› Issue (4): 42-51.DOI: 10.11930/j.issn.1004-9649.202303046

• New Energy • Previous Articles     Next Articles

Research on the Optimal Configuration Method of New Energy and Flexible Regulation Resources Considering Carbon Emission Constraint

Hujun LI1(), Dong ZHANG2(), Mengxuan LV2, Fangzhao DENG1, Meng YANG1, Bo YUAN2   

  1. 1. State Grid Henan Economic Research Institute, Zhengzhou 450000, China
    2. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
  • Received:2023-04-10 Accepted:2023-07-09 Online:2024-04-23 Published:2024-04-28
  • Supported by:
    This work is supported by National Natural Smart Grid Joint Fund of China (Research on Hierarchical Regulation, Interaction Mechanism and Market Transaction of Regional Energy Network Based on Energy Cell-Organization Structure, No.U1866206).

Abstract:

In the goal of the "Dual Carbon", with the rapid increase of the installed capacity of new energy, the demand for system regulation resources is also growing fast. Hence the coordination and optimization of the new energy and regulation resources is getting more attentions in building a new-type power system with high quality. This paper constructs an optimization model for new energy and regulation resources development with the objective of minimizing investment cost of additional units and operating cost of the system subject to carbon emission constraint and other constraints. Multiple development scenarios are set up with respect to different utilization rates of the new energy, and the operational economics of power system under each scenario are studied. Considering the carbon emission reduction target will be established and assessed for each province individually in the future, a provincial power grid in central China is taken as an example to verify the effectiveness of the proposed model, and research results and conclusions are provided at the end of paper.

Key words: carbon emission constraint, new energy, regulation resources, optimal configuration model