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

Method and system for comprehensively optimizing energy storing power station planning and operating

An optimization method and energy storage power station technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as planning problems without practical significance

Active Publication Date: 2013-12-25
TSINGHUA UNIV
View PDF2 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the planning of energy storage power stations should be based on the actual operating results, and it is meaningless to discuss planning alone

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 and system for comprehensively optimizing energy storing power station planning and operating
  • Method and system for comprehensively optimizing energy storing power station planning and operating
  • Method and system for comprehensively optimizing energy storing power station planning and operating

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0043] The model of the invention considers the influence of the daily operation parameters and modes of the energy storage power station on the planning, and introduces the idea of ​​double-layer optimization in the optimization theory into the power system. Such as figure 1 As shown, a comprehensive optimization model for energy storage power plant planning and operation based on a double-layer optimization theory established according to the present invention includes steps:

[0044] S1. According to the power system network parameters, construct the real part matrix G and imaginary part matrix B of the node admittance matrix used for power flow calculation, and determ...

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 method for comprehensively optimizing energy storing power station planning and operating. The method comprises the first step of constructing a real-part matrix G and a virtual matrix B of a node admittance matrix used for carrying out load flow calculation according to network parameters of an electric power system and determining the upper limit value and the lower limit value of voltage of all nodes and the upper limit value and the lower limit value of all line power flow when the electric power system operates safely and stably, the second step of determining the upper limit value and the lower limit value of work output of a common electric generator, determining generating cost parameters of the common electric generator, determining the upper limit value and the lower limit value of the work output of a wind turbine generator or a wind power motor field and determining the penalty electricity price for draught fan fault according to the power source parameters of the electric power system, the third step of determining the capacity price, the power price and the average service life of an energy storage system and daily maintenance charge according to parameters of the energy storage system, the fourth step of determining the typical day wind power predicted data of the wind turbine generator or the wind power motor field, determining the day load data, determining the backup data of rotating of the electric power system and determining the transmission loss price of the electric power system according to scheduling operating data of the electric power system, and the last step of determining an inner layer optimization model and an outer layer optimization model according to the data collected in the first step, the second step, the third step and the fourth step.

Description

technical field [0001] The invention belongs to the field of new energy power generation and control, in particular to a comprehensive optimization method and system for energy storage power station planning and operation based on double-layer optimization theory (BLP) Background technique [0002] Since the beginning of the new century, the shortage of fossil energy and environmental pollution have become more and more serious, prompting the power industry to seek and develop renewable clean energy to replace existing chemical energy and optimize the energy structure. Renewable clean energy has gradually attracted people's attention. However, as the difficulty of power grid peak regulation increases year by year, and the construction of power grids in some areas is far behind the construction of power sources, the phenomenon of abandoned wind in wind farms in my country is becoming more and more serious, resulting in a huge waste of energy, and also for wind power generatio...

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): H02J3/28G06F19/00
Inventor 郑乐胡伟陆秋瑜黄杨王芝茗马千葛维春罗卫华
Owner TSINGHUA UNIV
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