Unlock instant, AI-driven research and patent intelligence for your innovation.

Quantifying combined effect of interdependent uncertain resources in electrical power grid

A power network and power demand technology, applied in the field of combination results of uncertain resources, can solve problems such as failure to quantify the interdependence of power generation and power demand

Pending Publication Date: 2019-09-13
IBM CORP
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, contemporary forecasting tools only provide marginal distributions that bound these uncertainties, yet fail to quantify any interdependence of generation and electricity demand at different locations and times in this grid

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
  • Quantifying combined effect of interdependent uncertain resources in electrical power grid
  • Quantifying combined effect of interdependent uncertain resources in electrical power grid
  • Quantifying combined effect of interdependent uncertain resources in electrical power grid

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] In the United States and other countries, growing awareness of the environmental impact of electricity (energy) generation and / or electricity demand, especially from fossil fuels such as coal and oil, has led to concerns about the use of renewable energy sources in electricity generation on the grid (note that generation and / or power demand may include generation, power demand, or a combination of generation and power demand, and are referred to herein as generation and power demand). Renewable energy includes any fuel source that is naturally replenished on human timescales, such as sunlight, wind, rain, tides, and geothermal heat. Renewable energy sources are particularly intermittent and can vary in intensity (eg, changing wind conditions, intermittency of sunlight, etc.). Due to the intermittency and varying intensities of these resources, renewable energy generation can be uncertain, which jeopardizes the stability of the grid (note that electricity demand is also ...

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

Embodiments herein relate to improving a stochastic forecast for uncertain power generations and demands to quantify an effect on an electrical power grid. To improve the stochastic forecast, a methodincludes fitting marginal distributions to data of the uncertain power generation and demand by power generation and demand nodes of the electrical power grid. The power generation and demand nodes provide corresponding uncertain power generation and demand based on a renewable energy source. The method also includes determining a correlation structure between the power generation and demand nodes by transforming the data from marginal distributions to a second distribution and by fitting a multivariate time series on transformed data. The method also includes simulating multivariate stochastic forecast with an improved correlation structure.

Description

technical field [0001] The present invention relates generally to generation and demand for electricity, and more specifically to quantifying the combined consequences of interdependent uncertain resources on a power grid. Background technique [0002] The amount of power generated may be uncertain due to the varying intensity of the renewable energy sources (eg, wind, solar, etc.) feeding the grid. Electricity demand may be uncertain due to varying intensities of consumer usage (eg, household appliances, electric vehicles, etc.). These uncertainties can be minimized using contemporary forecasting tools. However, contemporary forecasting tools provide only marginal distributions that bound these uncertainties, yet fail to quantify any interdependence of generation and electricity demand at different locations and times in the grid. Contents of the invention [0003] In accordance with one or more embodiments of the invention, a method for improving stochastic forecasting...

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): H02J3/00
CPCG06F2111/08G06F2119/06G06F30/20Y02E60/00Y04S40/20Y04S10/50
Inventor W·S·万达曼金榮勳M·拉文S·舒克拉刑福伦K·W·瓦尔伦A·高雅伊T·库马尔
Owner IBM CORP