Distributed optimal power flow method based on continuous punishment dual decomposition for power system

Abstract

The invention discloses a distributed optimal power flow method based on continuous punishment dual decomposition for a power system. The distributed optimal power flow method comprises the following steps: firstly acquiring network parameters of the power system, and determining a mathematical model of the optimal power flow problem; secondly introducing an auxiliary variable to obtain an equivalent problem of the original optimal power flow control problem; then solving the equivalent problem through inner and outer iterative algorithms, wherein the inner iteration is used for carrying out distributed solution on a corresponding inner augmented lagrangian problem by using a block coordinate descent algorithm under the condition of a fixed dual variable, and each bus needs to conduct data interaction with a neighboring bus before the optimization of each group of variables to realize local optimization of a local variable, and the outer iteration is used for updating a dual variable and a punishment factor according to the current constraint feasibility index; finally, completing the optimal power flow control over the power system according to an obtained bus input power value. According to the distributed optimal power flow method based on the continuous punishment dual decomposition for the power system, the optimal power flow of the power system is subjected to distributed design by using a continuous punishment dual decomposition technology, so that the performance loss of the system is the least on the premise of guaranteeing the feasibility of a power flow equation.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a distributed optimal power flow method for power systems based on continuous penalty dual decomposition. Background technique [0002] Power system optimization problems, including planning, scheduling, operation and control, aim at the balance and compromise between system security and economy. As one of the most important issues, Optimal Power Flow (OPF) control refers to adjusting the available control variables (such as generator output power, adjustable Transformer taps, etc.) to find the power flow control that can satisfy all operating constraints and make a certain performance index of the system (such as power generation cost or network loss) reach the minimum value. In recent years, with the rapid development of smart grid, distributed power generation technology, and distributed energy storage technology, on the premise of satisfying the security of the power s...

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Problems solved by technology

For non-convex optimal power flow problems, convex relaxation methods cannot even guarantee a feasible solution to the problem

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