This paper focuses on the application of cluster analysis algorithm in the indicators comparison of power industry. The provincial power companies are classified by the power supply quality indicator with K-means clustering algorithm to identify the standard companies and to verify the feasibility and effectiveness of the algorithm. The results show that the cluster analysis enable the power companies to accurately identify the gap between the enterprise and the benchmark of industry, so as to continuously improve the level of management and benefit.
CLC number:TM715
The integration of renewable energy resources (RERs) not only shows significant environmental effect, social effect and economic effect, but also brings many challenges to grid planning and economic operation of power grid. Based on systematic dynamics, from the perspective of changes of cost and benefit of grid enterprises caused by the integration of RERs, the effect of the integration of RERs on economical operation of power grid is studied. Finally, a simulation of effect trend based on empirical data of one province demonstrates the validity of the model proposed in this paper.
In this paper, we firstly review the paper related to index system of economic society development, and divide and analyze the stage of Chinese economic development by using the theory of Chenery, Hoffman and Lewis. Then we selected indicators by using GRA and FA, and also consider the cointegration relationship of these indicators with power. Finally, we propose the index system of economic society development based on the medium and long-term electric power demand forecasting, which included 3 first-level indexes, 7 second-level indicators.
First, behavior models of the station operator and consumer are established considering all the main factors. Second, an optimized EV charging pricing method using Game Theory is introduced based on benefit-cost analysis. The calculation of government subsidies is also proposed in order to reach an equilibrium charging price. Finally, actual data of Hebei is used and results are shown to give supports to local government and charging station operator’s decision making.
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