Investment Efficiency Assessment of Distribution Network for the High Proportion of Renewable Energy: A Hybrid Multiattribute Decision-Making Method

Abstract

To cope with the high proportion of renewable energy connected to the grid under the carbon peak and neutrality goal, the investment in distribution network construction will account for more than 50% of the power grid companies’ investment direction in distribution networks in China. According to the characteristics of distribution network investment under the high proportion of renewable energy, a new evaluation index system of distribution network investment efficiency is constructed from the three dimensions of power supply guarantee capacity, total carrying capacity and value creation capacity. Besides, it put forward the game theory combined weighting method based on fuzzy BWM (F-BWM) method and anti-entropy weight method (a-EWM) and the multi-attribute decision-making method of MARCOS based on Pearson coefficient instead of the covariance matrix and improved weighted Mahalanobis distance (I-M-MARCOS). Finally, eight typical distribution network projects in a province of China are selected for empirical analysis. The results show that the model has good applicability in the evaluation of distribution network investment efficiency, and expanding the scale of distribution network and flexibly adjusting resources are the key ways to improve the investment efficiency of distribution networks.

Triangular Fuzzy QFD–MCDM Combination Approach for Green Building Design Scheme Evaluation

“…Although the BWM method is effective in simplifying the process of decision-making as well as reducing the risk of inconsistency, there is still ambiguity. To better address the uncertainty in decision-making problems and improve the flexibility of decisionmaking, many scholars have combined the BWM method with fuzzy set theory and successfully applied it to solve many engineering problems [54,55]. Therefore, we combine the two methods in Sections 2.2.1 and 2.2.2 into a triangular fuzzy BWM method, as shown in Equation (12).…”

Economic and Mathematical Modeling for the Process Management of the Company's Financial Flows

“…Welfare and Wage Growth [15][16][17][18][19][20][21][22][23][24][25][26][27] Enterprise Development [3][4][5][28][29][30] Investment Efficiency [6,[31][32][33][34][35][36][37][38][39][40][41][42][43][44] Goods Safety [45][46][47][48][49][50][51][52][53][54][55] Cash Flow Management [56][57][58][59][60][61][62]…”

Research on distribution network fault processing technology based on knowledge of graph

“…The power grid stability situation knowledge map uses the graph model to describe the relationship between power grid stability situation knowledge and power grid physical equipment and realizes the direct expression of power grid stability situation knowledge [10][11][12][13][14][15]. The power grid stability situation knowledge graph can be divided into a system-level knowledge graph and a device-level knowledge graph according to the dispatcher's concern level, which realizes the hierarchical knowledge of the power grid stability situation and helps dispatchers intuitively understand the power grid stability situation information [16][17][18][19]30].…”

“…Therefore, it is urgent to extract and refine the multi-source heterogeneous distribution network text data into knowledge with the help of intelligent technology and organize this knowledge into structured and visual representation forms. Related contents of multi-dimensional distribution fault outage risk situation awareness, such as fault monitoring, non-contact detection, fault warning, etc., construct knowledge graphs of various measurement states, topologies, data, etc., and establish corresponding relationships [13][14][15][16][17][18][19]. Knowledge graph technology is mainly used to enhance search services, and its application in power systems is still in its infancy.…”