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

Method of evaluating power grid power purchasing combination revenue and risk under peak regulation constraint

A power purchase and risk technology, applied in the direction of instruments, data processing applications, resources, etc., can solve the problems of ignoring the peak-shaving constraints of the provincial power grid, and it is difficult to obtain the power purchase combination decision-making required by the safe operation of the power grid.

Inactive Publication Date: 2017-08-18
STATE GRID FUJIAN ELECTRIC POWER CO LTD
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, many literatures have studied the power purchase combination of power grid companies in various markets, but they have ignored the peak-shaving constraints of the provincial power grid, and transformed the multi-objective optimization problem into a single-objective optimization problem for solving, which is difficult to obtain the safe operation of the power grid. Demanding and Objective Power Purchase Portfolio Decisions

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
  • Method of evaluating power grid power purchasing combination revenue and risk under peak regulation constraint
  • Method of evaluating power grid power purchasing combination revenue and risk under peak regulation constraint
  • Method of evaluating power grid power purchasing combination revenue and risk under peak regulation constraint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0052] Such as figure 1 As shown, this embodiment provides a method for evaluating the income and risk of power grid power purchase portfolio under peak load regulation constraints, which specifically includes the following steps:

[0053] Step S1: Extract inter-provincial monthly contract market, day-ahead market, provincial monthly contract market, day-ahead market, real-time market historical electricity price, peak and valley time-of-use electricity price on the side of electricity purchase and sale in province, load power demand in province, monthly typical day in province Peak load, valley load level, provincial peak shaving surplus and other data;

[0054] Step S2: Establish a model for maximizing the social benefits of grid companies purchasing electricity; define the model: in the regional power market environment, grid companie...

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 relates to a method for evaluating the income and risk of power grid power purchase portfolio under the constraints of peak regulation. The weighted conditional risk value is used to measure the power purchase risk of provincial power grid companies, and a multi-objective optimization model for power grid companies to maximize expected revenue and minimize risks is established. . Under the background of implementing peak-valley time-of-use electricity price on the electricity sales side, taking into account the constraints of the provincial power grid’s peak regulation and the power-quantity coupling equation of inter-provincial power purchases, the multi-objective quantum particle swarm algorithm is used to solve the problem, and different benefits and risks are obtained. The horizontal inter-provincial and intra-provincial optimal power purchase combination sets for various markets allow power purchase decision makers to make rational power purchase decisions based on their own risk preferences and allocate power purchases reasonably. The method proposed by the invention reflects the profit and risk level of power grid companies participating in inter-provincial power purchase transactions in the regional power market environment, and uses intuitive economic signals to reflect the risk value. Provide reference for power grid companies to coordinate and optimize inter-provincial and intra-provincial power purchases.

Description

technical field [0001] The invention relates to the field of power market analysis, in particular to a method for evaluating the income and risk of a power grid power purchase combination under peak regulation constraints. Background technique [0002] In the regional electricity market environment, power grid companies are faced with a wider choice of electricity purchases. There are differences in the average price and fluctuation range of various power markets within the province and between provinces. In the case of unlinked electricity sales and electricity prices, grid companies have greater operational risks. At present, many literatures have studied the power purchase combination of power grid companies in various markets, but they have ignored the peak-shaving constraints of the provincial power grid, and transformed the multi-objective optimization problem into a single-objective optimization problem for solving, which is difficult to obtain the safe operation of t...

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): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06
Inventor 刘文彬方日升杨首晖王良缘王颖帆王其瑜江岳文温步瀛林建新虞思敏
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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