Regional environment-power system collaborative optimization method considering atmospheric pollution

A power system, collaborative optimization technology, applied in computing, data processing applications, forecasting, etc., can solve the problems of air quality pollution, ignore the temporal and spatial distribution of air pollution, unsustainability, etc., to achieve the effect of alleviating air pollution

Active Publication Date: 2021-07-23
CENT CHINA BRANCH OF STATE GRID CORP OF CHINA +1
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although many policies based on this idea have also obviously controlled the total amount of air pollutant emissions, these literatures have ignored the characteristics of the temporal and spatial distribution of air pollution and other meteorological factors that affect air quality, and lack of research on key areas and prominent periods. Process control is unsustainable, so in practice, the air quality in many areas or densely populated urban areas still frequently suffers from continuous severe and severe pollution

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
  • Regional environment-power system collaborative optimization method considering atmospheric pollution
  • Regional environment-power system collaborative optimization method considering atmospheric pollution
  • Regional environment-power system collaborative optimization method considering atmospheric pollution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0170] see figure 1 , a regional environment-power system collaborative optimization method that takes into account air pollution. This embodiment takes the local power grids of three major cities in Hubei Province as objects, and proceeds in turn according to the following steps:

[0171] 1. Extract the geographical location coordinate data of major cities in the region relative to the units in the region, and the historical average data of the air quality index (AQI, IAQI) in the typical daily peak, flat and valley periods of each month, the energy consumption and emission characteristics data of the generating units in the region, Time-of-use electricity price and maximum (low) output power in peak-to-peak valley, time-of-use electricity price in peak-to-peak valley, maximum / low transmission power and maximum transmission power of connection line for electric units sold outside the region, load forecast data in the region (see image 3 ), the air quality index (AQI) forecas...

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 regional environment-power system collaborative optimization method considering atmospheric pollution, and the method comprises the steps: firstly, calculating a comprehensive influence coefficient of power generation of each unit in a region on AQI of a main city by a corresponding relationship between the power generation amount and the discharge capacity, a corresponding relationship between the pollutant concentration and the AQI, and a Gaussian diffusion model of a continuous point source, and building a space-time pollution coordinate system; dividing the space-time points into core points and non-core points according to AQI predicted values, calculating a threshold value of the AQI of the core points influenced by power generation of the units in the region and a control coefficient of the AQI of the non-core points influenced by power generation of the units in the region, and establishing an optimization model taking the minimum power purchase cost and the minimum comprehensive influence of the power generation of the units in the region on the AQI of the non-core points as targets; and then solving the optimization model by adopting an NSGA-II algorithm, and finally selecting an optimal compromise solution as an optimal output result based on a fuzzy set theory, namely, the output power of each unit in different periods. According to the design, air pollution is effectively relieved.

Description

technical field [0001] The invention belongs to the field of power system optimization, and in particular relates to a regional environment-power system collaborative optimization method considering air pollution. Background technique [0002] With the increasing environmental problems caused by the emission of polluting gases, continuous smog has seriously affected people's normal work, study, and life. It is urgent to prevent and control air pollution and protect public health. [0003] As one of the most basic and largest industries in today's social and economic development, the power industry actively responds to the country's call to carry out energy conservation and emission reduction work. At present, there are a large number of literatures that consider environmental costs when studying power trading plans, and alleviate the impact of power generation and power consumption on air quality by introducing the optimization goal of minimizing the total amount of pollutan...

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): G06Q10/04G06Q10/06G06Q50/06G06Q50/26
CPCG06Q10/04G06Q10/06393G06Q50/06G06Q50/26
Inventor 杨建华鲍玉昆司马琪杨司玥杨睿行余明琼白顺明
Owner CENT CHINA BRANCH OF STATE GRID CORP OF CHINA
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