Two-stage optimization scheduling method supporting source-network-load-storage multivariate ubiquitous coordination

A technology for optimizing scheduling and phases, applied in information technology support systems, instruments, data processing applications, etc., can solve problems such as large impact on system operation and difficulties in power grid peak regulation

Pending Publication Date: 2021-03-09
ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +2
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The continuous penetration of new energy has brought great difficulties to the peak regulation of the power grid. Thermal power units ar

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
  • Two-stage optimization scheduling method supporting source-network-load-storage multivariate ubiquitous coordination
  • Two-stage optimization scheduling method supporting source-network-load-storage multivariate ubiquitous coordination
  • Two-stage optimization scheduling method supporting source-network-load-storage multivariate ubiquitous coordination

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0090] The present invention will be described in further detail below in conjunction with the drawings and specific examples. The following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.

[0091] A two-stage optimal scheduling method that supports source-network-load-storage multi-factor ubiquitous coordination, see Figure 1-8 , the invention point is that the method comprises the following steps:

[0092] Step 1: Day-ahead stage: Predict next-day data based on historical data and load uncertainty model considering demand side management, including wind speed, wind power plant output, outdoor temperature, photovoltaic power plant output, system load and electricity price fluctuations.

[0093] The load uncertainty model considering demand side management is:

[0094]In any time period, the system load demand at the next moment is uncertain, usually the normal distribution and uniform distribution probability d...

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 two-stage optimization scheduling method supporting source network load storage multivariate ubiquitous coordination. The method comprises the following steps: 1, a day-ahead stage: predicting next-day data according to historical data and a load uncertainty model considering demand side management; 2, taking low-carbon economy as a target, considering a deep peak regulation working condition and a normal operation working condition of the thermal power generating unit, carrying out random sampling by utilizing a Monte Carlo method, and solving a day-ahead low-carboneconomy scheduling model by utilizing a hybrid bat algorithm to obtain a low-carbon economy scheduling model; 3, in the intra-day stage, according to the ultra-short-term prediction values of the wind power plant and the photovoltaic power station and the intra-day system load considering the day-ahead price demand response, based on an intra-day thermal power generating unit correction model andan intra-day low-carbon economic dispatching model, determining the unit start-stop combination and the price and price type demand response quantity of each time period; and solving and adjusting the day-ahead scheduling plan by using a hybrid bat algorithm. The low-carbon economic dispatching of the power system is realized, the local optimum in a high-dimensional condition is effectively avoided, and the global optimal solution is quickly obtained.

Description

technical field [0001] The invention relates to the technical field of electric power system and automation thereof, in particular to the low-carbon economic dispatching of the electric power system, and in particular to a two-stage optimal dispatching method supporting multi-element ubiquitous coordination of source-network-load-storage. Background technique [0002] With the vigorous promotion of the construction of the strong smart grid and the ubiquitous power Internet of Things, a high proportion of renewable energy is connected to the grid, and artificial intelligence, sensors, and advanced communication technologies obtain comprehensive new energy, energy storage, and load data for application. Optimal scheduling of power systems. Facing the smart grid with high penetration rate of new energy, it is very urgent to make full use of source-load-storage data to solve the problem of low-carbon economic dispatch of wind power, photovoltaic power generation, thermal power, ...

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): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50Y02E40/70
Inventor 李树鹏霍现旭李国栋尚学军李振斌吴彬陈培育于光耀吴磊刘云余庆红孔祥玉王峥崇志强全淑萍邢楠楠王天昊于天一马世乾刘亚丽
Owner ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO
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