Guan Lin

Research on the modeling of EV charging station considering V2G and its optimal configuration in photovoltaic distribution network

When EV charging stations access to the distribution network, the charge-discharge behavior responded to the grid demand (V2G) will exert a significant impact on the optimized operation of the distribution network. V2G behavior is often guided by the electrovalence policy. The paper proposes an electrovalence guiding principle based V2G response model to optimize the access feeders and access points of EV charging station. With the aim to reduce network loss and intraday voltage fluctuations, the paper also proposes an optimized planning model of charging station with embedded operation simulation in the distribution network of high photovoltaic permeability. According to the optimized results, the paper analyzes the influence of load curve and PV permeability on the optimization program of charging station, and puts forward the basic principle of charging station access planning. The example shows that the operating efficiency of distribution network is significantly affected by V2G behavior of EV charging station. The V2G behavior of charging station might bring a significant negative impact on the distribution network with inappropriate access program. Research results can be widely used in planning project of charging station connected to distribution network.

Study on the relationship between transmission line failure rate and lightning information based on Neo4j

Data of modern AC/DC hybrid power grid has become more and more complex with the dramatically extended volume because of the significant development of the technology of information acquisition and data processing during the past few decades. It will be of importance for the control and operation of power grid by using new methods to analyze the more enriched and disparate data. In this paper, Neo4j, one of the most outstanding graph databases in the world, is used to integrate the data related with lighting and failure information from different enterprise application system (EAPs). With the help of high-performance network topology algorithms provided by Neo4j, conventional failure rate of transmission line can be further divided into two different failure rates corresponding to the lightning region and non-lightning region, while the relationship between the lightning information and the failure rate of transmission lines can be drawn more clearly by comparing the two types of failure rates. The conclusion is validated in a real large-scale regional grid at the end of this paper.