KEYWORDS: Visualization, Data modeling, Data conversion, Visual process modeling, Switches, Data storage, Visual analytics, Databases, Integration, Systems modeling
Knowledge graph is a kind of storage structure which conforms to human cognition form and can accurately describe the relationship information between things. In this paper, a visualization and retrieval system of knowledge graph is built starting with the original Textual corpus. This paper first analyzes the requirements of the visualization and retrieval system. Then in the system implementation stage, in order to realize the visualization and retrieval system, we divide the system into three modules (Data Module, Visualization Module and Query Module) and implement them, respectively. For data module, we based on the entity relation joint extraction model processing text data into relational data (triples). For visualization module, we visualized the triples into node-link diagram based on the force-directed algorithm. Apart from this, we realized some interactive functions based on the D3.js visual framework and HTML technology.
With the vigorous promotion of urban energy internet and smart grid, the risk of various malicious cyber attacks on existing cyber physics power systems has increased significantly after they are transformed into integrated energy cyber physics systems(IEGS). In order to ensure the safe and reliable operation of urban integrated electricity-gas system, this paper proposes a loss assessment model for integrated electricity-gas system under cyber-physical coordinated attack. Firstly, the branch fault scenario is randomly generated, and then the real operation state of the branch is concealed by injecting false data. Secondly, the DC power flow model and probability model are used to simulate the cascading failure of the power system, and the loss caused by the coordinated attack on the urban integrated electricity-gas system is evaluated according to the physical operation characteristics of IEGS, the IEGS vulnerability branch is evaluated. Finally, the correctness and effectiveness of the model are verified by the integrated electricity-gas system composed of IEEE 30 nodes and Belgium 20 nodes.
Through the scheduling of demand-side response resources such as electric water heater load, the adverse impact of distributed power output fluctuation on the operation of power system can be reduced and the consumption of renewable energy can be promoted. Firstly, based on the operation framework of load aggregator, the cost and benefit of load aggregator are analyzed, and the demand response compensation strategy based on user comfort is proposed among the components of load aggregator cost. In this study, a flexibility index is established to measure the ability of the system to deal with the output fluctuation of distributed power generation. Finally, an optimal load scheduling model of electric water heater is proposed. The objective function of the model is that the total income of load aggregator and system flexibility are maximum, and the user comfort temperature, wind and photovoltaic output fluctuation and aggregator income constraints are taken into account. The simulation results of numerical examples show that the proposed model has good economic benefits and improves the stabilization effect of distributed wind power fluctuations.
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