Method and system for analyzing power loss risk of power distribution network based on comprehensive weighted power supply path index

Abstract

The invention discloses a method and a system for analyzing the power loss risk of a power distribution network based on a comprehensive weighted power supply path index. The method and the system reflect the risk of load loss of nodes of the power distribution network by establishing a comprehensive weighted power supply path index. The method comprises the steps of: extracting topology and electrical information of a power distribution network, and establishing an adjacency matrix according to the active power flow direction; establishing a active power flow direction tree model, and weighting edges in the flow tree model by using line impedance; according to the active power flow direction tree model, obtaining a power supply path from a positive power set to a negative power set according to a depth-first or breadth-first search algorithm; and finally, comprehensively considering the node load capacity, the node load power supply, the transfer path and the power supply robustness relative factor, and establishing a comprehensive weighted power supply path index model of each node. The state of each power distribution network is updated, the process is calculated circularly, and the relative power loss risk of the load nodes is compared and analyzed quickly.

Description

technical field [0001] The invention relates to a power failure risk analysis method of a distribution network based on a comprehensive weighted power supply path index, and belongs to the field of reliability analysis and evaluation of a distribution network. Background technique [0002] The time-varying nature of the distribution network's operating state, the diversity and random ambiguity of the grid structure and components have brought new challenges to the safe and stable operation of the power system. [0003] Traditional risk analysis methods that consider equipment failure rates are often difficult to obtain historical parameters and have poor adaptability to time-varying characteristics of the system. However, the current distribution network risk assessment models and methods based on probability theory do not fully involve the time-varying characteristics of the distribution network, the random ambiguity of distributed power output, and the robustness of the ne...

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Problems solved by technology

[0003] Traditional risk analysis methods that consider equipment failure rates are often difficult to obtain historical parameters and poor adaptability to time-varying characteristics of the system

However, most of the distribution network risk assessment models and methods based on probability theory do not fully involve the time-varying characteristics of the distribution network, the random ambiguity of distributed power output, and the robustness of the network structure.

In addition, distribution network risk assessment models with uncertainty based on probability theory are all based on the calculation of random power flow. Although the calculation method has been improved several times, in practical applications, there are still operational dimensions and time-consuming surges in the risk analysis process. question

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