Convex-difference-planning-based calculation method of maximum access capability of distributed power supply in distribution network

Abstract

The invention relates to a convex-difference-planning-based calculation method of the maximum access capability of a distributed power supply in a distribution network. The method comprises: distribution network structure and parameter information is inputted, and a calculation accuracy value, an initial penalty coefficient and an iteration number of times are set; according to the distribution network structure and parameter information, a distributed power supply maximum access capability calculation model is established by considering the access capability maximization of the distributed power supply in the system; for nonlinear constraints in the maximum access capacity calculation model, conversion into a second-order cone programming model is carried out by linearization and second-order cone relaxation, and the model is solved to obtain an initial solution to the distributed power supply maximum access capability calculation model; a convex difference inequation is introduced into the second-order cone programming model and linearization is carried out, an objective function is updated; a penalty item is added into the objective function, and conversion to a convex difference programming model is carried out; the convex difference programming model is solved and whether a convergence condition is satisfied is determined; an iterative penalty factor is updated and solution calculation is carried out again; and a result is outputted. According to the invention, the calculation speed is increased substantially; and the maximum access plan of the distributed power supplyis obtained quickly.

Description

technical field [0001] The invention relates to a method for calculating the maximum access capacity of a distributed power supply in an active distribution network. In particular, it relates to a method for calculating the maximum access capacity of distributed power generation in distribution networks based on convex difference planning. Background technique [0002] New energy and renewable energy are widely and high-density connected to the distribution network in a distributed manner. While meeting the energy demand of the grid, their operating characteristics are greatly affected by the environment and have obvious randomness and volatility. It has brought many problems to the operation and control of the distribution network, among which the problems of bidirectional power flow and voltage limit are particularly serious. Moreover, the output and load of distributed power generation often show a negative correlation, resulting in large fluctuations in the voltage and ...

AI Technical Summary

Problems solved by technology

Although traditional mathematical optimization methods can theoretically perform global optimization, there will be a "curse of dimensionality" problem when dealing with large-scale nonlinear problems in practice, and the calculation time often shows an explosive surge; A polynomial time bound, the calculation speed is fast, but only a local optimal solution can be obtained, and the global optimality of the solution cannot be guaranteed

Therefore, traditional mathematical optimization methods and heuristic algorithms cannot meet the requirements of speed or accuracy at the same time for solving such problems.

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