Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Clean Energy Power Planning Method Based on Wasserstein Distance and Distribution Robust Optimization

A technology of power planning and robust optimization, applied in the direction of single-network parallel feed arrangement, etc., can solve the problems of thermal power with poor robustness and no consideration of large-scale withdrawal of thermal power, and achieve low conservatism, reduced conservatism, and good economy Effect

Active Publication Date: 2020-09-01
STATE GRID SICHUAN ECONOMIC RES INST
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above-mentioned power supply planning has the problem of insufficient handling of uncertainties and does not consider the large-scale withdrawal of thermal power, and the resulting planning has poor robustness and thermal power is still in operation

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
  • Clean Energy Power Planning Method Based on Wasserstein Distance and Distribution Robust Optimization
  • Clean Energy Power Planning Method Based on Wasserstein Distance and Distribution Robust Optimization
  • Clean Energy Power Planning Method Based on Wasserstein Distance and Distribution Robust Optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0140] This example applies clean energy power planning in stages considering wind and solar uncertainties and thermal power unit withdrawals to the IEEE RTS79 system to realize clean energy power planning in four stages, focusing on considering wind and solar uncertainties and thermal power unit retirements , taking into account factors such as hydropower participation in mediation constraints, water abandonment costs, and power balance. The data on the RTS79 system includes: the number of thermal power plants is 6, the total number is 24, and the total capacity is 2500MW. The total hydropower capacity of the first stage: 3540MW; the total hydropower capacity of the second stage: 4980MW; the total hydropower capacity of the second stage: 5880MW; the total hydropower capacity of the second stage: 7740MW; the total hydropower capacity of the second stage: 9600MW . The load of each stage increases at a growth rate of 20%.

[0141] Table 1 Clean energy planning information tabl...

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 clean energy power planning method based on Wasserstein distance and distribution robust optimization, and relates to the technical field of power system planning. The methodcomprises the following steps: S1, constructing a wind-photovoltaic power output uncertainty set based on Wasserstein distance; S2: establishing a power planning model under distributed robust optimization; S3, solving by bringing the wind-photovoltaic power output uncertainty set into the power planning model under distributed robust optimization to obtain a clean energy power planning scheme. Compared with a traditional method, the method of the invention has lower conservatism of the uncertainty set, has strong ability to adapt to complex and changeable operating environments, and can be adopted for effective solution.

Description

technical field [0001] The invention relates to the technical field of power system planning, in particular to a clean energy power planning method based on Wasserstein distance and distribution robust optimization. Background technique [0002] On the basis of traditional power grid planning, existing studies have established a variety of power grid planning models for different planning needs. Most of the models only involve a phased planning, lacking an overall layout for long-term planning. Coupled with the large-scale access of renewable energy to the grid, the uncertainty of grid planning is gradually increasing, and the planning scheme obtained only by relying on the power balance constraints under a given reserve rate cannot meet the requirements of stable operation of the grid. [0003] At present, many studies have considered the operation of the grid in grid planning. The literature "Fan Zhicheng, Zhu Junpeng, Yuan Yue, et al. Distributed power planning model and ...

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 Patents(China)
IPC IPC(8): H02J3/46H02J3/38
CPCH02J3/46
Inventor 汪荣华刘洋朱觅刘莹李奥苟竞唐权胥威汀李婷王云玲
Owner STATE GRID SICHUAN ECONOMIC RES INST
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
Eureka Blog
Learn More
PatSnap group products