Power distribution network flexible resource optimization site selection method based on three-phase power flow model

Abstract

The invention provides a power distribution network flexible resource optimization site selection method based on a three-phase power flow model. The method is characterized in that the method comprises the following steps: 1, building a three-phase coupling imbalance power flow model of a power distribution network through considering a multi-phase star connection mode and a triangular connectionmode of electrical equipment; 2, based on the three-phase coupling unbalanced power flow model, in combination with an optimal power flow problem, expressing an optimization site selection problem offlexible resources with a predetermined scale as a two-stage random mixed integer nonlinear programming problem; and 3, deducing a strict analysis boundary of the optimal power flow problem through monotonicity analysis of an optimal value of the optimal power flow problem, constructing a closed objective function for optimizing the site selection problem by utilizing the closed boundary, furtherconverting the optimized site selection problem into a deterministic integer problem, and solving the deterministic integer problem by matching a particle swarm algorithm with a meta-heuristic methodto obtain an optimal site selection.

Description

Technical field[0001]The invention belongs to the technical field of power system distribution network planning, and specifically relates to a method for optimizing the location of flexible resources of a distribution network based on a three-phase power flow model.Background technique[0002]In the past ten years, distributed flexible resources have been rapidly developed in power distribution systems, especially in wind power generation, photovoltaic power generation, energy storage, and demand response. The power distribution system has developed from a passive state to an active state, which brings great flexibility to the power distribution system. Studies have shown that incorrect configuration of flexible resources (FR) may lead to system instability and higher power loss, while optimizing FR configuration can greatly improve energy efficiency and reduce operating costs.[0003]The main challenge to FR location planning is the random uncertainty of renewable energy generation and...

AI Technical Summary

Problems solved by technology

The main methods currently used to evaluate the average performance of an FR placement decision are sampling and robust optimization, both of which are very computationally intensive

[0004] In addition, the line resistance and reactance in the distribution network are close in value, the active power and reactive power are strongly coupled, and the three-phase load is often unbalanced, and the mutual impedance between different phases is also unbalanced, which also gives flexibility to the distribution network. Siting of sexual resources presents difficulties

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