Yuheng Sha

The new power system can promote the green transformation of the energy system and reduce upstream and downstream pollutants and carbon emissions. In order to better evaluate the significant environmental value of investing in new power systems, this study proposed a method combining environmental science, energy planning, technology and economy to more clearly reflect the extensive environmental value of investing in power systems. This study took into consideration the potential of complementary power generation between regions, industry driving force, and the emission reduction effect of adopting new energy downstream and constructed a value accounting method system of upstream and downstream collaborative emission reduction. First, the energy system planning and optimization method was adopted to predict future power consumption and fossil energy conservation. Second, methods of environmental science were used to estimate the emissions of carbon dioxide and different major pollutants. Last, the investment scale and structure of the new power system were considered to calculate the return on new power system investment per unit in reducing upstream and downstream pollutants and carbon emissions. It is estimated that each 10,000 yuan investment in a new power system will encourage the reduction of 6.14 tons of carbon dioxide emissions, 0.74 tons of sulfur dioxide emissions, 0.4 tons of nitrogen oxide emissions, and 1.08 tons of flue gas emissions upstream and downstream during the “14th Five-Year Plan” period.

Project full-cycle evaluation is the process of evaluating the level of project implementation. The evaluation has a clear purpose orientation and involves the entire cycle of the project. This paper proposes a research method for the full-cycle evaluation of power grid projects based on rough set-multi-level extension theory. First, this article combines various aspects of the project to establish a project evaluation index system involving multiple interests such as the environment and society. Then, the index weight is determined based on the rough set theory, and the multi-level extension theory is used to evaluate the project in the whole cycle. This model provides new ideas for the accurate evaluation of various types of projects and lays a theoretical foundation for improving the level of project management.

In view of the increasing number of power grid reserve projects, how to reasonably evaluate power grid reserve projects and formulate power grid reserve project management mechanisms is of great significance for improving project management levels, optimizing resource allocation, and realizing the sustainable development of power grid enterprises. This paper proposes an evaluation method for power grid reserve projects based on the matter-element model. First, considering the influence factors of technology, economy, environment, etc., this paper constructs an evaluation index system for reserve projects considering policy, safety, and benefits; The method of weighting determines the index weight, and evaluates the project in combination with the matter-element model, laying a foundation for the research of the project reserve mechanism, and finally uses examples to verify the effectiveness of the method.

In order to improve the investment accuracy of power grid projects, this paper takes distribution network investment as the research object, and proposes a distribution network precision investment method based on a three-level strategy of region, power supply grid, and power supply unit. Firstly, building a precise investment index system for the investment scale of the regional distribution network, and calculate the investment situation through the precise investment calculation formula of the regional distribution network. Secondly, building a time sequence evaluation system for the overall construction of the power supply grid of the distribution network, and then study the prioritization method based on investment projects. The time sequence method for the overall construction of the power supply unit of the distribution network and the multi-objective optimization precision investment method based on the target grid framework. Finally, the effectiveness and operability of the above precision investment method are verified through empirical application.