Abstract
The operating environment of power grid enterprises is complex with a range of monitoring indicators. To grasp the overall operational status in time and find the key affecting factors, Balanced Scorecard Card (BSC), Interpretive Structural Model (ISM), Principal component analysis (PCA) should be applied. This paper proposed several grid enterprise operators and monitoring indicator systems (which include achievement indicators and driver indicators), and applied PCA for verification and evaluation. The achievement indicators mainly reflected the effectiveness of business operations, which included corporate value, social value, customer value, and so on. Driver indicators mainly reflected the core resources and operations process management of business operations, which have a direct impact on the achievement indicators. The driver and achievement indicators were used as input and output indicators for the provinces to assess the efficiency of operations, and appropriate measures were proposed for improvement. The results showed that the dynamic data envelopment analysis (DEA) model could reflect the time lag of the grid enterprises operating investment and income much better than the other two methods, and the static changes compared to assess efficiency had an average around 4%.
Highlights
As distributed energy has developed, regional energy grids have gradually formed
data envelopment analysis (DEA) of model the twothe methods, efficiency evaluation resulton improved with the modified considered impactthe ofdynamic the previous year's investment the operating result of the following considered power structure and regional factors; the efficiency results of the dynamicof the Province as angrid example, by comparing theeconomic static and dynamic evaluation efficiency evaluation did not change with the Stochastic Frontier Model (SFM) model, which indicated that these factors were not two methods, the dynamic efficiency evaluation result improved with the modified DEA method that taken into account
This paper evaluated the operational efficiency of power grid enterprises, and obtained the following conclusions: 1
Summary
As distributed energy has developed, regional energy grids have gradually formed. For example, in industrial parks, the Combined Cooling Heating and Power (CCHP), which has formed a network structure of district energy power generation, heating, and cooling, has been adopted. Sci. 2017, 7, 624 grid enterprises mainly focus on financial indicators, and ignore the entire process of operations management, which leads to some existing problems of evaluation as the evaluation method is limited to the feasibility study of the single power grid construction project, and the non-financial indicators are always despised These types of evaluation mainly use the financial internal rate of return and financial net present value to reflect the performance of a single power grid construction project, so lack indicators that can accurately reflect supply reliability, voltage, and cannot completely reflect power grid development and efficiency. The Stochastic Frontier Model (SFM) was proposed to evaluate the efficiency of a smart grid [3]; some scholars have used data envelopment analysis (DEA) to evaluate the technical efficiency of hydraulic power generation enterprises and transmission-distribution systems [4,5]. For non-grid companies, the drive and performance indicators should first be sorted through the ISM before D-DEA is used to calculate operational efficiency
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
