Generalized load random characteristic-considered power transmission and distribution coordinated planning method

Abstract

The invention discloses a generalized load random characteristic-considered power transmission and distribution coordinated planning method, which comprises the following steps of decomposing a transmission and distribution coupling system into a plurality of small systems according to a physical structure, and then constructing a transmission and distribution iterative interaction distributed decision framework, firstly, fitting a probability density function of generalized loads containing distributed new energy according to measured data, randomly sampling generalized load values by using a Monte Carlo sampling method, and sequentially accessing the generalized load values into a power distribution network with new energy power generation, and independently operating each power transmission system and each power distribution system, and solving the boundary power between power transmission and power distribution. According to the method, the mean value and the standard deviation of the boundary power are used as shared variables, the probabilistic target cascade algorithm is used, information transmission between the power transmission system and the power distribution system is achieved, the target function with the Lagrange penalty function is listed with the minimum total operation cost of the system as the target, and therefore the calculation precision is not reduced, and the operation speed can be greatly improved.

Description

technical field [0001] The invention belongs to the field of distribution network planning and relates to a distributed power transmission and distribution collaborative optimization method considering generalized load characteristics for power transmission and distribution coordination. Background technique [0002] The power transmission and distribution system of the power grid is a complex physical system with time-space coupling characteristics, and its structure can be divided into three layers: "source-network-load". However, different from the traditional power transmission and distribution system: the scale and complexity of modern power grids are increasing, and the types of elements contained are also increasing. Among them, especially the penetration rate of renewable energy in the power grid is constantly increasing. increase, leading to its uncertainty problem that needs to be solved urgently. In recent years, a large-scale addition of distributed generation (...

AI Technical Summary

Problems solved by technology

First of all, the transmission-distribution coupling system is decoupled into a distributed decision-making framework of iterative interaction between transmission and distribution, and a probabilistic target cascading algorithm is adopted. Instead of taking each scenario as a separate coordination sub-problem, the mean value and The standard deviation is a random variable that is interactively shared between the transmission and distribution systems, thus solving the problems of slow calculation speed and low accuracy of the distributed algorithm to calculate the optimal power flow

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