Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Power grid dispatching optimization method and system based on WCVaR risk analysis

A technology for power grid dispatching and risk analysis, applied in the direction of constraint-based CAD, design optimization/simulation, information technology support system, etc., can solve the problems of uncertainty in the output of new energy, and achieve the avoidance of profit risks, high returns, and improved economy. Effect

Active Publication Date: 2021-09-24
HUAZHONG UNIV OF SCI & TECH +1
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the high degree of autonomy of the microgrid and the uncertainty of new energy output, Zhang Hong et al. ("Microgrid supply-demand coordination two-stage day-ahead optimization scheduling considering WCVaR assessment") proposes that from the perspective of grid-connected microgrid operators A two-stage day-ahead optimization scheduling framework for supply and demand coordination

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 grid dispatching optimization method and system based on WCVaR risk analysis
  • Power grid dispatching optimization method and system based on WCVaR risk analysis
  • Power grid dispatching optimization method and system based on WCVaR risk analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0066] The present invention adopts WCVaR, establishes a power grid operation model based on WCVaR, and then proposes a supply function equilibrium (supply function equilibrium, SFE) game problem that considers the interaction between the photovoltaic charging and swapping system of WCVaR and the power grid, and solves the optimization problem, and then It is possible to obtain a power grid disp...

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 grid dispatching optimization method and system based on WCVaR risk analysis, and belongs to the technical field of photovoltaic power station energy management. The method comprises the steps: constructing a plurality of photovoltaic output power samples, and then determining the electricity price for selling photovoltaic excess capacity to a power grid; randomly initializing a plurality of groups of multiplying power coefficients to obtain a bidding scheme reported to a power grid by a plurality of photovoltaic charging and battery swapping systems; constructing a power grid operation model based on WCVaR, and solving to obtain a power grid dispatching scheme and a power grid node marginal price scheme; further calculating the earnings of the photovoltaic charging and battery swapping system; updating the multiplying power coefficients of all the groups, and then updating the bidding scheme; repeating the operation until a preset number of times is reached, and outputting a finally obtained power grid dispatching scheme. According to the invention, a certain reference value can be provided for a decision maker of a power grid to formulate a scheduling scheme; the scheduling scheme obtained by considering the WCVaR risk can better adapt to the worst situation, the income risk, namely the low income or loss situation, is avoided, and the economical efficiency of power grid operation is improved.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power station energy management, and more specifically, relates to a power grid scheduling optimization method and system based on WCVaR (worst-case conditional value-at-risk, worst-case conditional value-at-risk) risk analysis. Background technique [0002] According to statistics, in 2019, the global sales of electric vehicles (EV) have exceeded 2.1 million, and the EV inventory has reached 7.2 million. At the same time, the charging and swapping system that provides charging and swapping services for EVs is also developing rapidly. In addition, countries all over the world are vigorously developing renewable energy, which makes charging and swapping systems with photovoltaic (photovoltaic, PV) access emerge as the times require. However, since the photovoltaic charging and swapping system provides charging and swapping services for EVs, it will inevitably interact with the power grid. In...

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): G06Q10/06G06F30/20G06Q50/06G06Q30/08G06F111/04
CPCG06Q10/0635G06Q10/0631G06F30/20G06Q50/06G06Q30/08G06F2111/04Y04S50/10
Inventor 李远征蔡亦涵黄晶晶倪质先周前黄成连义成赵勇
Owner HUAZHONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products