Multi-object optimized power supply recovery reasoning and searching method

Abstract

The invention relates to a multi-object optimized power supply recovery reasoning and searching method, comprising the following steps: isolating the failure; dividing 'an inland area' in an unfailure power failure area; initially searching a power supply recovery path; effectively filtering; searching the power supply recovery path in the scheme; and verifying the electric equipment. The reasoning method provided by the invention needs not carry out large-scale traversal computing, and can automatically balance the transferring burdens on each path on the premise of fully utilizing the transferring capacity of each power supply recovery path; and the switching operation times are reduced, and a cutting load scheme can be directly obtained in the process of reasoning and searching.

Description

technical field [0001] The invention relates to a reasoning search method in the field of power systems, in particular to a power supply restoration reasoning search method considering multi-objective optimization. Background technique [0002] As a direct-to-user link, the distribution network has a large system scale, many components, and a complex structure. In actual operation, it will face many fault events, which may interrupt the normal power supply to some users. At this time, it is necessary to consider how to restore it as soon as possible. For the power supply of users, the process of solving this problem is called the power supply restoration of the distribution network. As an important implementation method of recovery control under fault conditions, power supply restoration is the most basic, most important and currently one of the most widely used system functions in distribution automation. It can effectively improve the scope and duration of power outages, a...

AI Technical Summary

Problems solved by technology

[0005] Heuristic algorithm is a kind of method that is widely used in practical engineering at present. The core is to set reasonable and scientific heuristic rules, to limit the search direction with certain rule indicators, and to evaluate possible solutions with certain criteria. Reduce the search space and reduce the recovery time. This type of method can quickly obtain a feasible solution, but the result is often far from the optimal solution, especially in the case of complex distribution network structures (multi-connection and multi-segment). Heuristic rules are still not suitable; artificial intelligence algorithms are generally suitable for solving more complex multi-dimensional problems, but the calculation time and accuracy are often limited by the initial network structure, network scale, iteration termination conditions, etc., and calculation results may be unstable, Problems such as long calculation time are rarely used in actual engineering; the typical optimization method is an algorithm based on graph theory, starting from the topological characteristics of the distribution network, combined with various constraints of power supply recovery calculation, the power supply recovery problem It can be transformed into problems such as minimum spanning tree and tree cutting to be restored. This kind of method is easy to understand intuitively, can reflect the essence of the problem, and has a fast calculation speed, but its results are often greatly affected by the network structure of the system.

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