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

Regional integrated energy system planning and operation joint optimization method considering multiple uncertainties

An integrated energy system and uncertainty technology, applied in the field of multi-energy complementary system planning and operation optimization, to achieve the effect of increasing the ability of output fluctuations and maximizing overall benefits

Active Publication Date: 2021-12-10
SHANGHAI MUNICIPAL ELECTRIC POWER CO
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] When considering the uncertainty factors in the system, if only the uncertainty of one side of the source and load is considered or only the same method is used to deal with its multiple uncertainties, the uncertainties such as renewable energy generation and load forecasting errors in the system will be ignored. Their respective characteristics will make the results somewhat one-sided

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 integrated energy system planning and operation joint optimization method considering multiple uncertainties
  • Regional integrated energy system planning and operation joint optimization method considering multiple uncertainties
  • Regional integrated energy system planning and operation joint optimization method considering multiple uncertainties

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0112] In this example, a joint optimization model of regional comprehensive energy system planning and operation and its optimal control method considering multiple uncertainties are provided. figure 1 , figure 2 and image 3 , the concrete steps of the method of the present invention are as follows:

[0113] Step 1: Construct a regional comprehensive energy system structure based on energy hubs:

[0114] see figure 1 As shown, in step 1, the regional comprehensive energy system planning and operation simulation system structure based on the energy hub consists of three parts: the energy input side, the output side, and the intermediate energy production, conversion and storage links. In order to better explain the system structure, the system structure is divided according to the form of energy. Based on the concept of energy bus, it is divided into four buses: electric bus, hot bus, cold bus and fuel bus. Renewable energy wind turbine (WT) and photovoltaic generation (...

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 regional integrated energy system planning and operation joint optimization method considering multiple uncertainty belongs to the field of power grids, and comprises the following steps: constructing a regional integrated energy system structure based on an energy hub; establishing a mathematical model of each device; establishing a regional integrated energy system planning and operation joint optimization model; putting forward a regional integrated energy system planning and operation joint optimization method considering multiple uncertainties to obtain the optimal capacity configuration and operation plan of the regional integrated energy system in the uncertain environment; and verifying the rationality and effectiveness of the proposed regional integrated energy system planning and operation joint optimization model and strategy considering the multiple uncertainties. The optimal capacity configuration scheme and the operation strategy of the regional integrated energy system can be obtained, so that the economical efficiency and the reliability of planning and operation of the system under the supply and demand uncertainty condition are guaranteed, and the influence of uncertain factors on the system planning strategy and the economic operation plan is reflected more comprehensively. The method can be used in the field of power supply system planning operation and optimization.

Description

technical field [0001] The invention belongs to the field of planning and operation optimization of a multi-energy complementary system of a power supply grid, and more specifically relates to a joint optimization method for planning and operation of a regional comprehensive energy system considering multiple uncertainties. Background technique [0002] In the face of energy crisis and environmental pollution, energy conservation and energy efficiency improvement have become the primary tasks of energy strategy. The regional integrated energy system based on distributed renewable energy integrates energy production, conversion and storage equipment, can maximize energy utilization, reduce environmental pollution, and is conducive to economical, efficient and sustainable energy supply. System planning can provide reasonable operation boundaries for operation optimization, and operation optimization can provide economic scheduling plans for system equipment, and the two are cl...

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): G06F30/20G06Q10/04G06Q10/06G06Q50/06G06F111/10
CPCG06F30/20G06Q10/0631G06Q10/04G06Q50/06G06F2111/10Y04S10/50
Inventor 江晶晶杨海涛张霄蕾周璿普美娜赵敏吴迪胡辰琪陈俊逸
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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