Grey Whitening Weight Function Research Articles

Research on Comprehensive Benefit Evaluation of Contract Energy Management Based on Grey Whitening Weight Function

As a large-scale central enterprise, power grid enterprises should promote contract energy management under the strict energy-saving situation. Based on the gray whitening weight function, this paper constructs a contract energy management evaluation system from three aspects: economic benefit, social benefit and environmental benefit. The expert scoring method is used to determine the weight of each index, and finally the comprehensive benefit of contract enterprise energy management is obtained. The results show that the contract energy management business has a huge driving effect on economic, social and environmental benefits. The value-added service of contract energy management has better comprehensive benefits. It can further promote contract energy management, improve China’s energy structure, and promote sustainable development.

Assessing the Impact of Advanced Technologies on Utilization Improvement of Substations

The smart substation is the heart of a transmission system, which is particularly emphasized as the most significant composition of smart grids in China. In order to assess the functionality performance of substation technologies, this paper presents methods used to identify the most promising solutions for smart substation design and to evaluate the technical levels of available technologies. The multi-index optimization model is presented to address the issue of smart substation planning. A mathematical model of the planning decision problem is established with multiple objectives consisting of economic, reliability, and green key indices, and many kinds of concerns including physical and environmentally friendly operations are formulated as a set of constraints. With respect to the assessment of the technical level regarding integration of advanced technologies into a substation, a modified grey whitenization weight function is adopted to structure a novel grey clustering method. The proposed grey clustering approach is used to overcome the difficulty of insufficient quantitative assessment capacity for traditional methods. The evaluation of technical effects provides the classification definition for the development phase and the maturity level of the smart substation. The effectiveness of the proposed approaches in planning decision-making and evaluation of construction efforts is demonstrated with case studies involving the actual smart substation projects of Wenchongkou substation in China Southern Power Grid (CSG) and Mengzi substation in State Grid Corporation of China (SGCC).

Study on credibility level of trustworthy software development process based on grey nonlinear cluster

PurposeThis paper attempts to put forward a convincing and flexible grey cluster method that can be used in confirming credibility level of trustworthy software development process.Design/methodology/approachDetermination on credibility level in the software development process is dynamic, as credibility of the results may be different at different times and under different project requirements. Qualitative methods are not entirely convincing, and most quantitative methods are not flexible enough. Grey cluster based on nonlinear grey whitening weight function put forward in this paper is both convincing and flexible. Finally eight projects from the ISBSG database are used for empirical analysis, which confirm that the method put forward in this paper is available and credible.FindingsThe results are convincing: not only that grey cluster based on nonlinear grey whitening weight function put forward in this paper is both convincing and flexible, but it can be used in confirming credibility level of trustworthy software development process.Practical implicationsEight projects from the ISBSG database are used for empirical analysis, which confirms that the method put forward in this paper is available and credible.Originality/valueNonlinear grey whitening weight function is derivable except endpoint. Grey cluster based on nonlinear grey whitening weight function put forward in this paper is both convincing and flexible.