Open AccessKey Indicators Analysis Approach for Green Power Considering Contributed Characteristics
Author(s) -
Xiangcheng Zhang,
Laijun Chen,
Hongxia Li,
Yang Shen,
Fan Yang,
L. Jiang,
Yongqing Guo
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/726/1/012002
Subject(s) - key (lock) , power (physics) , power analysis , set (abstract data type) , computer science , development (topology) , reliability engineering , performance indicator , mathematics , engineering , business , mathematical analysis , physics , computer security , quantum mechanics , marketing , programming language
Key green power indicators are information which can intuitively reflect the status of green power construction in a region. Selecting reasonable key indicators will help to identify week link the development of green power, and promote the development of clean energy and power systems. A multi-dimensional quantitative analysis method for key green power indicators is proposed in this paper. First of all, this paper designed a set of indicators starting from the different links of power supply, grid and load. The indicator set includes three dimensions: green power development, green energy sharing and green power living, and the selecting method key green power indicators is established. Then, from the aspects of indicator score and indicator weight, a model for quantitatively evaluating the development level of green power was constructed to analyze the development week link of green power. Finally, the effectiveness and feasibility of the proposed method are verified by using the indicator data of Qinghai Province. Qinghai’s green power development level and development trend are quantified. The development balance of different links of green power was analyzed, and the constructed indicators are used to obtain the weak links of Qinghai’s green power development. The calculation examples show that the evaluation and analysis method proposed in this paper can help to quantify the level of green power development and guide the coordinated development of various construction parts.