Identification of Key Nodes Considering Different Roles of Power Businesses in Power Communication System and Power System

Abstract

In the power communication network, the importance of the power businesses are the key to evaluate the key nodes of the power communication system. As a special network of power system, when determining the importance of power businesses, the different roles of power businesses in power communication system and power system should be considered. Based on analytic hierarchy process (AHP), entropy weight method and weight degradation method, this paper presents a method to identify the key nodes of power communication network. Firstly, the roles of power businesses in power communication network and power system are analyzed, and a multi-level evaluation model is set up. The evaluation indexes are quantified in the form of quantitative assignment, and the importance of power businesses are evaluated based on improved AHP and entropy weight method. Secondly, on the premise of getting the importance of power businesses, combining with the topology of power communication network to improve the weight degradation method to identify the key nodes of power communication system. Finally, the power communication backbone network of Qingdao and Jinan in China are taken as the simulation objects to verify the correctness of the method.

Power system topological node tamper detection method based on fuzzy graph theory

“…The power IEEE33 node is selected as the test topology environment, and the specific structure is shown in Figure 4. In order to verify the effectiveness of the topological node tamper detection method proposed in this paper, the proposed method is compared with the power node detection method based on the improved PageRank algorithm proposed in [5] and the power node detection method based on comprehensive power flow tracking proposed in [6] As can be seen from Figure 5, the proposed method has a better time-consuming performance, because the method based on fuzzy graph theory in this paper can use fuzzy reasoning and fuzzy set theory to deal with imprecise and fuzzy data, reducing the calculation and processing that require high accuracy. Compared with traditional detection methods, this method can reduce the computational complexity and time consumption when dealing with large-scale and complex power system nodes.…”

“…An improved PageRank algorithm based system key node identification method was proposed [5]. Using the Jacobian matrix, the sensitivity equations of voltage and phase Angle in the power system are reconstructed and modified.…”

Coupled Model and Node Importance Evaluation of Electric Power Cyber-Physical Systems Considering Carbon Power Flow

“…R loss kj,Gi = P loss kj,Gi E Gi (25) From the above Equations ( 23)-( 25), the carbon emissions generated in all links can be equivalently converted and distributed in detail, and then after simple calculation, the carbon flow rate indicators, such as the node load carbon flow rate required in the carbon emission network, can be obtained.…”

“…After sorting out the data of the original example, the active power vector of the unit P G = [0.7164, 1.6300, 0.8500] T , the node flowing power vector P = [0.7164, 1.2730, 0.9136, 1.4300, 1.0000, 0.8360, 1.6300, 0.8500, 0.7164] T , and related parameters such as branch power loss. The node load, branch, and network loss power can be calculated separately from Equations ( 8)- (20), then the corresponding carbon flow rate can be calculated from Equations ( 21)- (25), and finally, the required node carbon potential can be calculated from Equation (26). The calculation results of the required relevant carbon emission indicators are shown in Table 5.…”

“…For power communication networks, the literature [24] gives a calculation method for the business importance of power communication network nodes based on the difference in power service performance. Combining the literature [25] with the topology of the communication network, the analytic hierarchy process is used to construct an index system for identifying the key nodes of the power communication network. The above studies are aimed at the power grid and the power communication network, but none of them is combined to analyze the node importance of the coupled network, neglecting the coupling relationship between the power grid and the power communication network in terms of topology and service characteristics.…”