Optimal power flow calculation method containing wind power access based on robust cone programming

A technology of optimal power flow and calculation method, applied to AC networks with different sources of the same frequency, wind power generation, power generation forecasting in AC networks, etc. , voltage out of limit, etc.

Pending Publication Date: 2021-05-11
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the limitations of this model are: (1) It is difficult to apply to the research fields related to voltage and reactive power and the distribution network with high feeder R / X; (2) In the power system introduced by large-scale wind power, If the traditional DC power flow model is used, it may lead to the problem of voltage exceeding the limit; (3) The optimal solution of the optimal power flow (OPF) problem based on DC power flow is not necessarily the feasible solution of the original OPF problem. As a result, in the actual optimization process, it is necessary to continuously adjust the degree of tightness of the constraints of the DC OPF and re-solve
This artificial adjustment process itself is heuristic, not suitable for optimization and rapid control of large-scale systems

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
  • Optimal power flow calculation method containing wind power access based on robust cone programming
  • Optimal power flow calculation method containing wind power access based on robust cone programming
  • Optimal power flow calculation method containing wind power access based on robust cone programming

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0162] Taking the modified IEEE-33 node power system as an example, such as figure 2 shown. The system includes 3 thermal power units and 1 wind farm. The thermal power units are located on nodes 3, 12, and 18 respectively, and the wind farm is located on node 8. Forecast data of wind power output and load such as image 3 shown. The proposed model is programmed and solved by calling YALMIP and Gurobi-8.0.1 on MATLAB 2016a.

[0163] In order to verify the accuracy of the model after relaxation, according to the calculation method of formula (8), the maximum relaxation error of each branch is obtained as shown in Table 1.

[0164] Table 1 Branch maximum relaxation error

[0165]

[0166]

[0167] It can be seen from the results that the order of magnitude of the maximum relaxation error of each branch is 10 -8 ~10 -6 to meet the system security requirements. Therefore, the model after cone relaxation is still accurate for nonlinear constraints.

[0168] In order to...

Embodiment 2

[0173] Taking the modified IEEE-118 node power system as an example, such as Figure 4 shown. The system includes 54 thermal power units and 1 wind farm, which is located on node 17. Forecast data of wind power output and load such as Figure 5 shown. The proposed model is programmed and solved by calling YALMIP and Gurobi-8.0.1 on MATLAB 2016a.

[0174] In order to test the impact of system access to wind power on node voltage, the system connected to wind power is compared with the system not connected to wind power, and the situation of node voltage exceeding the limit is investigated. The comparison results are shown in Table 3.

[0175] Table 3 Comparison of model optimization results

[0176] system type The number of voltage limit nodes System connected to wind power 107 Systems not connected to wind power 99

[0177] It can be seen from the results that the connection of wind turbines will cause more node voltages in the system to excee...

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 an optimal power flow calculation method containing wind power access based on robust cone programming, and belongs to the technical field of power system dispatching automation. The method comprises the following steps: according to prediction data of day-ahead wind power output and load, taking minimum power generation cost of a unit as a target function, describing uncertainty of wind power output by an uncertain set in a polyhedron form, introducing alternating current power flow constraint to carry out safety check, and constructing a robust cone programming model based on alternating current power flow; performing cone relaxation on the non-linear constraint, and processing a non-linear term by using an auxiliary variable substitution method so as to obtain a cone programming model; in order to solve the uncertainty optimization problem, using a C&CG algorithm to decompose the model into a main problem in a basic scene and a sub-problem in an uncertain scene, substituting unit commitment decisions solved in the basic scene into safety verification in the uncertain scene, performing dual transformation of inner layer optimization, solving a dual cone programming model, and obtaining a globally optimal solution.

Description

technical field [0001] The invention relates to the technical field of power system scheduling automation, in particular to an optimal power flow calculation method including wind power access based on robust cone programming. Background technique [0002] At present, the unit combination model considering safety constraints generally adopts the DC power flow model. This method only considers the active power flow of the system and ignores factors such as voltage and reactive power, which can effectively improve the solution efficiency. However, the limitations of this model are: (1) It is difficult to apply to the research fields related to voltage and reactive power and the distribution network with high feeder R / X; (2) In the power system introduced by large-scale wind power, If the traditional DC power flow model is used, it may lead to the problem of voltage exceeding the limit; (3) The optimal solution of the optimal power flow (OPF) problem based on DC power flow is n...

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
IPC IPC(8): H02J3/06H02J3/00H02J3/38
CPCH02J3/06H02J3/381H02J3/003H02J3/004H02J2203/20H02J2300/28Y02E10/76
Inventor 陈艳波焦洋武超葛磊蛟刘辉
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap