Bottom-preserving net rack search modeling method based on mixed integer second-order cone planning

Abstract

The invention discloses a bottom-preserving net rack search modeling method based on mixed integer second-order cone planning. The method aims to solve the problems that an algorithm adopted in the prior art is low in calculation speed, uncertain in result and limited. The method comprises the following steps: S1, collecting information of a to-be-planned power transmission network, forming an initial power grid topological graph, and establishing a multi-objective optimization function; S2, establishing node active power and reactive power balance constraints on the basis of the power flow equation of the power system; S3, establishing model inequality constraints including a line voltage constraint, a system power flow constraint, a connectivity constraint, a unit output constraint and aline power constraint; S4, performing second-order cone optimization relaxation on the model, and converting the mixed integer nonlinear programming model into a mixed integer second-order cone model; and S5, solving the model to obtain a planning scheme. Through the mixed integer second-order cone programming, solving efficiency is high, robustness is good, and the result is determined. Searching speed and accuracy of the guaranteed net rack are improved.

Description

technical field [0001] The invention relates to the field of bottom-guaranteed grid planning, in particular to a search modeling method for bottom-guaranteed grid based on mixed integer second-order cone programming. Background technique [0002] At this stage, my country is focusing on changing the mode of economic growth, optimizing the economic structure, promoting high-quality economic development, adhering to the path of green and low-carbon development, and accelerating the construction of ecological civilization and energy revolution. Reliable power supply has become the most important material basis for sustainable economic and social development, and power security has become increasingly important. In recent years, climate change caused by global warming has led to an increasing trend in the frequency and extent of natural disasters, which have caused a series of heavy blackouts in domestic and foreign power systems. How to ensure the safety of power grids in extre...

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Problems solved by technology

[0007] The present invention mainly solves the problem that the prior art adopts the artificial intelligence algorithm to solve, the calculation speed is slow, the result is uncertain, it is easy to fall into the local optimum, and there are great limitations in solving the bottom-guaranteed grid search problem; it provides a hybrid based The bottom-guaranteed grid search modeling method of integer second-order cone programming can deal with the bottom-guaranteed grid search problem under different requirements. s efficiency

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