Research on the balance optimization of investment demand and investment capability of power grid enterprises

• Published in: Energy reports 2023-10, Vol.9, p.943-950
• Main Authors: Sha, Yuheng, Ma, Qian, Xu, Chao, Tan, Xue, Yan, Jun, Zhang, Yuqian
• Format: Article
• Language: English
• Subjects: Dynamic balance; Investment capability; Investment demand; Main component analysis; Quantum genetic algorithm
• ISSN: 2352-4847; 2352-4847
• DOI: 10.1016/j.egyr.2023.05.151

In the context of the in-depth advancement of the power system reform and the increasingly stringent supervision of state-owned assets and state-owned enterprises, it is urgent to clarify the balance between investment demand and investment capacity of the power grid. First, the investment capacity and investment demand estimation models are established respectively, and then a dynamic balance optimization model between investment capacity and investment demand is established. By adjusting the range of adjustable indicators of the investment ability and demand calculation model, the objective is set to be the smallest difference between the investment ability and the investment need, the Quantum Genetic Algorithm is used to solve the problem. And consider future development scenarios to achieve a dynamic balance between investment ability and the investment need. Through the analysis of calculation examples, it is known that the investment capacity of a certain place is 630 million yuan, and the investment demand is 661 million yuan. Combined with the development of related factors affecting the investment in the future, when the relevant factors are at a certain value, the two reach a balance, and the investment scale after the balance is 649 million yuan, which verifies the feasibility of investment optimization of the investment scale, so as to support the investment decision of power grid.