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

Comprehensive energy system optimization operation method considering uncertainty and demand response

An integrated energy system and demand response technology, applied in computing, data processing applications, instruments, etc., can solve the problem that energy is difficult to undertake the heavy responsibility of energy transformation alone, and achieve flexible and efficient operation of the economy, environmental protection, and promotion of supply and demand balance. The effect of reducing overall operating costs

Active Publication Date: 2020-11-17
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF13 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the increasing energy depletion crisis and environmental pollution problems, the existing energy production and consumption patterns are difficult to meet the needs of the current rapid economic and social development. The limitations of various energy sources and the diversity of human demand for terminal energy determine the It is difficult for any kind of energy to shoulder the heavy responsibility of energy transformation 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
  • Comprehensive energy system optimization operation method considering uncertainty and demand response
  • Comprehensive energy system optimization operation method considering uncertainty and demand response
  • Comprehensive energy system optimization operation method considering uncertainty and demand response

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The integrated energy system optimization operation method considering uncertainty and demand response of the present invention will be described in detail below with reference to the embodiments and drawings.

[0020] The comprehensive energy system optimization operation method considering uncertainty and demand response of the present invention includes the following steps:

[0021] 1) In the day-ahead optimization stage, based on the day-ahead forecast data of various distributed energy sources and loads, as well as energy price fluctuation factors, establish a day-ahead robust optimization operation model of the integrated energy system that takes into account robust uncertainty and time-shifted demand response ;

[0022] The day-ahead robust optimization operation model of the integrated energy system considering robust uncertainty and time-shifted demand response is based on the objective function of minimizing the day-ahead comprehensive operation cost of the in...

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 relates to a comprehensive energy system optimization operation method considering uncertainty and demand response, which comprises the following steps of: in a day-ahead optimization stage, establishing a comprehensive energy system day-ahead robust optimization operation model considering robust uncertainty and time shift type demand response according to day-ahead prediction dataand energy price fluctuation factors of various distributed energy sources and loads; in an intra-day optimization stage, according to intra-day prediction data of various distributed energy sources and loads and a system day-ahead optimization result, establishing an integrated energy system intra-day random optimization operation model considering random uncertainty and alternative demand response; enabling two models to form a comprehensive energy system day-ahead and day-ahead two-stage collaborative optimization operation model considering multiple uncertainty and comprehensive demand response, and calling a Gurobi solver through a Yalmip toolbox to carry out model solving. According to the invention, the complementary advantage of multiple energy sources can be effectively exerted, the comprehensive operation cost of a park is further reduced, and the economic, environment-friendly, flexible and efficient operation of the comprehensive energy system is realized.

Description

technical field [0001] The invention relates to an optimal operation method of an integrated energy system. In particular, it relates to a comprehensive energy system optimization operation method that takes into account uncertainty and demand response. Background technique [0002] With the increasing energy depletion crisis and environmental pollution problems, the existing energy production and consumption patterns are difficult to meet the needs of the current rapid economic and social development. The limitations of various energy sources and the diversity of human demand for terminal energy determine the It is difficult for any kind of energy to undertake the heavy responsibility of energy transformation alone. In this context, the Energy Internet came into being. As an important development direction of the Energy Internet, the integrated energy system is an important means to improve the efficiency of social energy use and promote the large-scale utilization of rene...

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): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 李鹏王子轩郭天宇王加浩陈博夏辉
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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