Thermoelectric optimization day-ahead scheduling method of residence integrated energy system considering multiple uncertainties

An integrated energy system, uncertainty technology, applied in the field of heat and electricity optimization day-ahead scheduling of residential integrated energy systems, can solve the problems that cannot deal with system uncertain factors, cannot be directly applied to residential systems, residential system models and efficiency optimization issues Research and other issues to achieve the effect of improving the energy utilization efficiency of the system, ensuring the space for charging and discharging energy, and ensuring the balance between supply and demand of heat and electricity

Pending Publication Date: 2022-07-22
LIYANG RES INST OF SOUTHEAST UNIV +1
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although many research models and methods centered on fuel cell / battery hybrid electric vehicles are very effective, usually with optimized control strategies to improve fuel cell efficiency, they cannot be directly applied to residential systems due to different operating requirements and load patterns
On the other hand, traditional deterministic algorithms, such as dynamic programming, can only perform energy management and efficiency optimization for systems under specific working conditions, and cannot deal with uncertain factors in system operation, such as electric and heat requirements related to user activities
Therefore, the residential system model and efficiency optimization problem for uncertain CHP application scenarios need to be studied

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
  • Thermoelectric optimization day-ahead scheduling method of residence integrated energy system considering multiple uncertainties
  • Thermoelectric optimization day-ahead scheduling method of residence integrated energy system considering multiple uncertainties
  • Thermoelectric optimization day-ahead scheduling method of residence integrated energy system considering multiple uncertainties

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0091] Example 1: see figure 1 , a day-ahead scheduling method for thermal and power optimization of a residential integrated energy system that takes into account multiple uncertainties. The schematic diagram of a hybrid fuel cell cogeneration system is shown in figure 1 As shown, its main equipment includes proton exchange membrane hydrogen fuel cell, air source heat pump, lithium battery and heat storage unit with phase change energy storage, other auxiliary equipment includes energy controller, pipeline, valve, circulating water pump and electrical equipment not present figure 1 shown in.

[0092] The hot water produced by the fuel cell and heat pump of the system is first stored in the phase change energy storage heat storage unit, and then the heat is taken from the heat storage unit to supply the heating and hot water of the residential house. The busbar power supply structure is adopted, and the power generated by the fuel cell, the charging and discharging of the li...

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 thermoelectric optimization day-ahead scheduling method for a residence integrated energy system considering multiple uncertainties. According to the scheme, a fuel cell, a storage battery, a photovoltaic power generation unit, a heat storage unit, a heat pump and other devices are included. The method comprises the following steps: firstly, carrying out random characteristic modeling on each uncertainty variable based on a time-varying Markov model; then, an operation model of the residence integrated energy system is established, and an optimal economic day-ahead scheduling problem taking the total fuel cost as a target and various operation and safety conditions as constraints is designed based on the model; and finally, solving the day-ahead scheduling problem by adopting a random dynamic programming algorithm to realize optimal scheduling of energy management under multiple uncertainties. According to the invention, thermoelectric cooperation of the residence integrated energy system can be realized, multiple uncertainties are effectively coped, thermoelectric supply and demand balance is realized, the energy utilization efficiency of the system is improved, the fuel cost is reduced, and the sustainability of operation of the residence energy system is promoted.

Description

technical field [0001] The invention relates to a scheduling method, in particular to the technical field of optimal scheduling of a sustainable cogeneration residential system containing a fuel cell, in particular to a thermal and electrical optimization day-ahead scheduling method for a residential integrated energy system that takes into account multiple uncertainties. Background technique [0002] In recent years, fuel cells have attracted more and more attention from academia and industry due to their high efficiency, flexibility, and low pollution, and have gradually become one of the effective solutions to achieve the goal of carbon neutrality. However, the main research and application of fuel cells are currently focused on hybrid vehicles, and their potential for thermoelectric optimization of residential systems remains to be further explored. At present, heating boilers are usually used for residential heating. This heating method has low efficiency and large carb...

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): H02J3/00H02J3/28H02J3/32H02J3/46G06Q10/04G06Q10/06G06Q50/06
CPCH02J3/0075H02J3/003H02J3/004H02J3/28H02J3/32H02J3/381H02J3/466G06Q10/04G06Q10/06312G06Q10/06315G06Q50/06H02J2203/10H02J2203/20H02J2300/24H02J2300/30H02J2300/40H02J2310/60
Inventor 孙立王显连苏志刚郝勇生
Owner LIYANG RES INST OF SOUTHEAST UNIV
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