Cost Recovery in Congested Electricity Networks

Abstract

Large scale investments in European electricity networks are foreseen in the next decade. Pricing the network at marginal cost will not be sufficient to pay for those investments as the network is a natural monopoly. This paper derives numerically the socially optimal transmission prices for cost recovery, taking into account that electricity networks are often congested, while allowing for market power in generation. The model is illustrated with a Stackelberg game for the Belgian electricity market.

Analysis of PV Poverty Alleviation Users Based on Big Data

“…With the development of information technology, China began to use data mining technology to analyze the characteristics of massive users and try to find out the characteristics of users' electricity consumption [1][2][3].Based on the statistical analysis of the factors of poor users, the use of logistic regression model for the use of poor users [4][5][6].Modeling and analyzing the key factors of electric power and its influence degree, deeply analyzing the characteristics of user electricity consumption, user payment, user's family resident population, low-income households, five-guarantee households and designing the key influence variables related to poverty user level identification [7][8][9][10].The decision tree algorithm was used to establish the poverty user level recognition model. Based on the theoretical analysis, the improved LR-Bagging algorithm was used to predict the poor user level [11][12].However, multiple algorithm models were not used for presentation analysis to introduce the combined modeling method, and the performance of multiple algorithms was comprehensively compared to get the optimal model [13][14].The model has a good explanation for the identification of poor users, and can be actively applied to the management of PV poverty alleviation users, effectively guiding the healthy operation of the precise poverty alleviation business.…”