Power distribution network double-layer optimization scheduling method considering wind and light uncertainty

A technology of two-layer optimization and scheduling method, which is applied to AC networks of the same frequency with different sources, AC network load balancing, single-network parallel feeding arrangement, etc. Coordination, failure to fully consider the optimal scheduling potential of distributed power sources, etc., to achieve the effect of reducing voltage loss, improving voltage deviation, and high solving efficiency

Pending Publication Date: 2022-07-29
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Moreover, there is a lack of coordination between the traditional voltage regulation and optimal dispatching methods, which fail to fully consider the optimal dispatching potential of distributed power generation, and ignore the randomness of distributed power generation and load.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Power distribution network double-layer optimization scheduling method considering wind and light uncertainty
  • Power distribution network double-layer optimization scheduling method considering wind and light uncertainty
  • Power distribution network double-layer optimization scheduling method considering wind and light uncertainty

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0034] like figure 1 As shown, the double-layer optimization scheduling method of the distribution network considering the uncertainty of wind and solar provided by the present invention includes:

[0035] S1. Using the probabilistic modeling method, a two-layer optimization model is constructed by constructing a representative scenario to approximate the real-time uncertainty of wind power, photovoltaic output and load, such as figure 2 As shown, the two-layer op...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a power distribution network double-layer optimization scheduling method considering wind and light uncertainty, relates to the technical field of power grid regulation and control, and adopts a probability modeling method to construct a double-layer optimization model by constructing a representative scene to approach the real-time uncertainty of wind power, photovoltaic output and load. The double-layer optimization model comprises an upper-layer optimization model and a lower-layer optimization model, the upper-layer optimization model is a distribution network reconstruction optimization model, minimum network loss is taken as an optimization target, and a hybrid genetic algorithm based on a backbone particle swarm is adopted to optimize a network switch state to obtain an optimal network topology structure; the lower-layer optimization model is a distribution network operation optimization model, takes voltage quality optimization as a target, and obtains an optimized scheduling plan of reactive power output and energy storage active power output of the wind-photovoltaic power generation system and the capacitor bank by solving mixed integer stochastic programming; and solving the double-layer optimization model to enable the double-layer optimization model to reach a stable state, and obtaining an optimal scheduling plan and an optimal dynamic network frame topology of the power distribution network.

Description

technical field [0001] The invention belongs to the technical field of power grid regulation, and in particular relates to a double-layer optimal scheduling method for a distribution network that takes into account wind and solar uncertainty. Background technique [0002] With the promotion of environmental protection policies and new energy development policies, distributed power sources are increasingly integrated into modern distribution networks, making the traditional power system gradually transform into a new power system form. Under the background of high penetration rate of renewable energy generation, the intermittent nature of distributed generation and the high impedance ratio of the distribution network may cause voltage fluctuations or even exceed limits, bringing greater technology to the voltage control and economic operation of the distribution network. challenge. The network reconfiguration technology is an important means to support the optimal operation ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/06H02J3/32H02J3/38H02J3/48H02J3/50G06N3/12
CPCH02J3/06H02J3/32H02J3/38H02J3/48H02J3/50G06N3/126H02J2300/24H02J2300/28H02J2203/20
Inventor 周柯金庆忍丘晓茵莫枝阅宋益
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products