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

Power utilization decision optimization method based on opportunity cost loss value

An optimization method and opportunity cost technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as reducing power consumption efficiency, affecting the robustness of power distribution, increasing the uncertainty of the power supply system, etc. The effect of sticky influence

Pending Publication Date: 2022-03-22
国网浙江省电力有限公司海宁市供电公司
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome that in the prior art, the traditional power utilization method cannot target the opportunity loss cost expectation value of different event benefit values, thereby increasing the uncertainty of the power supply system and causing an impact on the power utilization strategy and the robustness of power allocation. To increase the cost of the power supply company and reduce the efficiency of electricity use, provide a power consumption decision optimization method based on the opportunity cost loss value, calculate the opportunity loss cost expectation value of the same strategy for different event benefit values, and choose the smallest opportunity cost loss according to the maximum and minimum criterion The strategy corresponding to the value is taken as the optimal strategy

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
  • Power utilization decision optimization method based on opportunity cost loss value
  • Power utilization decision optimization method based on opportunity cost loss value
  • Power utilization decision optimization method based on opportunity cost loss value

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0050] like figure 1As shown, the logic flow of this scheme is: 1) Establish a policy set at time t and an event set at time t; 2) Establish a comprehensive energy system model of the target microgrid; The optimal decision sequence in the T time period; 4) Judge whether the decision-making scheme at any time satisfies the security constraints, if so, output the decision-making scheme at time t as the optimal decision; if not, modify the model constraints and re-establish a new one The target microgrid integrated energy system model performs a new cycle and repeats steps 2)—4); 5) outputs the decision-making scheme at time t, and judges whether t is greater than or equal to t max , if satisfied, output the decision-making plan for the optimal decision; if not satisfied, repeat the above steps 1)-5) control loop until the end of the control loop...

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 power utilization decision optimization method based on an opportunity cost loss value, and the method is characterized in that the method comprises the following steps: S1, building a strategy set at a t moment and an event set at the t moment; s2, establishing a target power grid integrated energy system model; s3, performing data calculation on the target power grid integrated energy system energy consumption model in T time periods from the t moment to obtain a strategy sequence of T time points; s4, verifying whether the scheme of the T time points can meet the stability requirement of the power grid or not; if yes, taking the first strategy scheme of the strategy sequence as the power utilization strategy method of the next time point; if not, modifying model constraint conditions, and recalculating; and S5, repeating the steps at the moment t = t + 1 until the control cycle is ended, and effectively reducing the influence of the uncertainty of the event on the robustness of the power utilization strategy by using the computer to obtain the expected value of the loss value.

Description

technical field [0001] The invention relates to the field of power supply, in particular to an optimization method for power consumption decision-making based on opportunity cost loss value. Background technique [0002] As more and more inverter-type power supplies and power electronic equipment are connected to the grid, more and more grid-connected or independent grids will be formed at the terminal of the distribution network, which will bring far-reaching consequences to the operation and management of the distribution network. Impact. The biggest advantage of the power supply mode in the form of a grid is that it can independently and finely control the operating equipment in the grid to achieve the optimization of power distribution. With the introduction of the Energy Internet, the power grid is also developing towards an integrated energy system. The biggest difference is that the control of energy is no longer limited to electric energy, but also includes thermal ...

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 Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 王大健俞威方鑫勇董栋李仕杰张钟其孙厚涛葛卫梁徐志鸿樊卡吴方舟季瑷袁国珍
Owner 国网浙江省电力有限公司海宁市供电公司
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