Comprehensive energy system optimization scheduling method, system and device and storage medium

An integrated energy system and optimized scheduling technology, applied in resources, data processing applications, instruments, etc., can solve the problems of reducing output volatility, no optimization method for effective energy utilization, and disconnection between energy scheduling and energy utilization, etc., to achieve the electric load curve gentle effect

Pending Publication Date: 2022-03-18
CHINA ELECTRIC POWER RES INST +2
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there are many methods for optimizing the dispatching of the integrated energy system, some of which consider the coordination of all energy sources in the integrated energy system to reduce output volatility, and some consider the energy quality to accurately reflect the operating status of the integrated energy system. It can be seen that the existing technology is only Provide optimal scheduling for the energy system through the supply of energy, but does not give an optimization method for the effective use of energy, and does not give a way to balance the load, so that energy scheduling and energy utilization are out of touch, and the maximum utilization of energy is not realized.

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 scheduling method, system and device and storage medium
  • Comprehensive energy system optimization scheduling method, system and device and storage medium
  • Comprehensive energy system optimization scheduling method, system and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] The integrated energy system can be roughly divided into four subsystems: external energy supply system, energy conversion system, energy transmission network, and energy storage system, as well as user-side loads. The external energy supply system mainly includes power grid, photovoltaic (Photovoltaic, PV), wind power (Wind Power, WP), natural gas source and other energy supply equipment; the energy conversion system mainly includes gas turbine (Gas Turbine, GT), gas boiler (Gas Boiler, GB), combined heat and power (Combined Heat and Power, CHP) unit, electric refrigerator (Air Conditioning, AC), absorption refrigerator (Absorption Refrigerator, AG) and other energy conversion equipment; the energy transmission network mainly includes the power grid inside the IES, Energy transmission equipment such as heating network, cooling network and gas network; energy storage system mainly includes energy storage devices such as batteries (Energy Storage, ES), cold storage device...

Embodiment 2

[0153] This implementation takes a typical integrated energy system (such as image 3 ) as an example to specifically introduce a method for optimal dispatching of an integrated energy system provided by the present invention. In this embodiment, the comprehensive energy system of a certain place is selected as the research object, and three regions are selected to form a multi-regional comprehensive energy system, such as Figure 4 As shown, the main parameters of each equipment are shown in Table 1, and the daily load conditions of the three areas are as follows Figure 5-7 shown (where Figure 5 and Image 6 See the legend for Figure 7 ). The heat and electricity production ratio of the chp unit is 1.5, the inter-regional electricity loss rate is 0.05, and the heat loss rate is 0.1. In zone 1, the self-elastic coefficient is -0.2, and the mutual elastic coefficient is 0.03; in zone 2, the self-elastic coefficient is -0.18, and the mutual elastic coefficient is 0.012; ...

Embodiment 3

[0172] In order to realize an optimal scheduling method for an integrated energy system, the present invention also provides an optimal scheduling system for an integrated energy system, such as Figure 19 shown, including:

[0173] The acquisition module, based on the dispatching period, obtains the forecasted demand of each load in each dispatching area within the dispatching range, the demand response parameters, the parameters of each device in the integrated energy system, and the output power of each device;

[0174] An adjustment module, which uses a predetermined load demand response elasticity model to adjust the predicted demand of each load;

[0175] Scheme determination module: Substituting the adjusted forecasted demand of each load in each region, demand response parameters, equipment parameters and output power of the comprehensive energy system into the pre-built dispatching model, and solving it to obtain the output scheme of each equipment;

[0176] Wherein,...

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 provides an optimal scheduling method, system and device for an integrated energy system, and a storage medium. The method comprises the steps of obtaining a predicted demand and a demand response parameter of each load in each scheduling region in a scheduling range, and parameters and output power of each device in the integrated energy system; adjusting the predicted demand of each load by using the load demand response elastic model; and substituting the adjusted predicted demand, the demand response parameter, the parameters of each device of the integrated energy system and the output power into a scheduling model taking the minimum daily operation cost as a target, solving to obtain a power output scheme of each device, and finding that the demand response can change the energy consumption habit of a user through the electricity price through result analysis. An electrical load curve obviously tends to be gentle, and the effect of peak load shifting is achieved; secondly, multi-region optimization is realized by taking the minimum daily operation cost as a target, so that the economical efficiency of the comprehensive energy system is effectively improved; and in addition, the program can be visualized through the GUI, so that the program can be better used by the user.

Description

technical field [0001] The present invention relates to the technical field of energy Internet planning, and in particular to an integrated energy system optimization scheduling method, system, equipment and storage medium. Background technique [0002] Energy is the basis for the survival and development of human society. Coal-based fossil energy has maintained economic and social development for a long period of time in the past, providing the foundation and power for the second industrial revolution, but it also affects the environment. Conservation poses serious challenges. Rapid economic development and material demand have led to a shortage of coal resources. Extensive energy consumption and pollution emissions in the past will also lead to environmental degradation and climate change. Therefore, how to rationally develop natural resources, develop renewable energy utilization methods, and sustainably develop modern society are issues of global concern. [0003] In t...

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): G06Q10/06G06Q50/06
CPCG06Q10/06315G06Q10/06313G06Q10/06312G06Q50/06
Inventor 盛万兴惠慧李蕊李鹏丽闫涛马宁刘伟陈海
Owner CHINA ELECTRIC POWER RES INST
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