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

A Spinning Reserve Capacity Optimization Method Based on the Cost-Performance Ratio of Standby Objects

A technology of spinning reserve capacity and optimization method, applied in data processing applications, forecasting, instruments, etc., can solve the problems of small cost performance calculation, large calculation amount of decoupling iterative optimization, and inability to obtain the optimal solution of risk, etc. The effect of calculating speed and avoiding the amount of calculation

Active Publication Date: 2020-11-03
NANJING NARI GROUP CORP +3
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to: aim at the deficiencies in the prior art, overcome the disadvantages that the existing reserve capacity optimization method cannot fully reflect the real reserve value of the reserve object, the decoupling iterative optimization calculation amount is huge, and the risk optimal solution cannot be obtained, and provide a A standby optimization method based on the cost performance ratio of standby objects, with a small amount of calculation, and can obtain the optimal risk solution

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
  • A Spinning Reserve Capacity Optimization Method Based on the Cost-Performance Ratio of Standby Objects
  • A Spinning Reserve Capacity Optimization Method Based on the Cost-Performance Ratio of Standby Objects
  • A Spinning Reserve Capacity Optimization Method Based on the Cost-Performance Ratio of Standby Objects

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be described in further detail below with reference to the accompanying drawings. Applying the method of the present invention to a power system, the simulation example is set as follows: the research time is 8 hours, the average electricity price is 300 yuan / MWh, and the threshold σ is 200MWh. See Table 1 and Table 2 for the parameters of the standby object, and see figure 2

[0037] Table 1 Standby units at power generation side

[0038] Crew name Capacity (MW) Rotation capacity fee (yuan / MWh) Electricity fee (yuan / MWh) generator set 1 25 40 420 generator set 2 25 38 425 generator set 3 50 35 350 generator set 4 50 44 430 generator set 5 75 40 412 generator set 6 100 42 410

[0039] Table 2 Interruptible load on the demand side

[0040] Interruptible load name Capacity (MW) Capacity fee (yuan / MWh) Compensation ratio Interruptible load 1 50 2 3 ...

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

A spinning reserve capacity optimization method based on a cost-performance ratio of a reserve object, which falls within the technical field of electric power system automation. In the method, a cost-performance ratio of a spinning reserve object (hereinafter referred to as a reserve object) is calculated according to the total cost thereof in a target power shortage curve scenario set (hereinafter referred to as a target scenario set) and an effective reserved electric quantity which can be provided thereby, and the reserve object which needs to be configured in this scenario set is optimized accordingly. By means of the method, the cost and performance of a reserve object can be comprehensively taken into consideration and a better optimization effect can be gained in comparison with the optimization configuration performed according to a "capacity price" of the reserve object or according to "a sum of the capacity price and an electric quantity price multiplied by an event probability". At the same time, by means of the method, uniform optimization at sending and requiring sides can be directly realized, thereby avoiding an enormous amount of calculations in a decoupling-iterative procedure between the sending and requiring sides.

Description

technical field [0001] The invention belongs to the technical field of power system automation, and more precisely, the invention relates to a method for optimizing reserve capacity in power system dispatching. Background technique [0002] In recent years, factors such as climate change, environmental pollution, and the depletion of fossil energy have promoted the rapid growth of the installed capacity of renewable energy such as wind power and photovoltaic power generation. However, the integration of large-scale intermittent renewable energy generation also brings new challenges to the allocation of reserve capacity of the power system, which has become one of the main obstacles restricting the acceptance of intermittent renewable energy generation in the grid. Improving the reserve capacity allocation method of the power system is one of the most effective means to improve the ability of the grid to accept intermittent renewable energy power generation, and to improve th...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 薛禹胜蔡斌薛峰吴俊李威宋晓芳徐泰山谢东亮
Owner NANJING NARI GROUP CORP