SOP-based active power distribution network feeder load balancing method

Abstract

The invention provides a soft open point (SOP)-based active power distribution network feeder load balancing method. The method comprises: inputting related information of a power distribution network, and setting cone relaxation maximum deviation computational accuracy and maximum iterative times; judging whether the iterative times exceeds the maximum iterative times; building an active power distribution network feeder load balancing model according to the related information of the power distribution network; converting the active power distribution network feeder load balancing model into a second-order cone programming (SOCP) model according to an SOCP standard form; computing and solving by utilizing a mathematical solver for solving SOCP, judging whether the cone relaxation maximum deviation meets given accuracy requirements, and outputting solving results; and adding cutting plane constraints on the basis of the obtained SOCP model, and then integrally forming a strengthened SOCP (S-SOCP) model. According to the SOP-based active power distribution network feeder load balancing method, a complex nonlinear programming problem is solved, complicated iterations and a lot of tests are avoided, computation speed is relatively largely increased, and an optimal active power distribution network feeder load balancing scheme can be quickly obtained.

Description

technical field [0001] The invention relates to a load balancing method for an active distribution network feeder. In particular, it relates to a load balancing method for active distribution network feeders based on intelligent soft switches. 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, due to the randomness of the distributed power output and the fluctuation of the load, the load imbalance of each feeder in the distribution network is aggravated, causing the congestion problem. [0003] Traditional distribution netwo...

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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