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Method for establishing optimal response model of electro-thermal coupling microgrid by comprehensively considering reliability and economy

An electrothermal coupling and response model technology, applied in data processing applications, electrical digital data processing, design optimization/simulation, etc.

Pending Publication Date: 2019-10-25
CHINA MINSHENG INVESTMENT CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for establishing an optimal response model of an electrothermal coupling microgrid that comprehensively considers reliability and economy, thereby solving the aforementioned problems in the prior art

Method used

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  • Method for establishing optimal response model of electro-thermal coupling microgrid by comprehensively considering reliability and economy
  • Method for establishing optimal response model of electro-thermal coupling microgrid by comprehensively considering reliability and economy
  • Method for establishing optimal response model of electro-thermal coupling microgrid by comprehensively considering reliability and economy

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Experimental program
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Embodiment 1

[0097] In this embodiment, the step S1 includes the following specific content. Considering the timing characteristics of the microgrid, the output model of each main component is as follows:

[0098] S11. Establishing a photovoltaic output model; statistical historical data to obtain the annual light intensity sequence, and combining the relationship between light intensity and photovoltaic output to determine the annual photovoltaic output model;

[0099] S12. Establish the power and heat load output model; the real-time electric load can be obtained through typical year-week, week-day and day-hour curves, and the calculation formula is,

[0100] L t = L p ×P w ×P d ×P h (t)

[0101] Among them, L p is the annual peak load, P w is the annual-weekly load percentage coefficient corresponding to the tth hour, P d is the corresponding weekly-daily load percentage coefficient, P h (t) is the corresponding daily-hour load percentage coefficient;

[0102] The annual time-...

Embodiment 2

[0113] In this embodiment, the step S2 includes the following specific content,

[0114] S21. Establish an electricity-heating joint response mechanism based on electricity prices; under the peak-valley electricity price, users will automatically adjust their own electricity consumption behavior, and transfer part of the electricity consumption from peak hours to valley hours to reduce electricity costs. The formula for calculating the change in electricity consumption is:

[0115]

[0116] Among them, Q on , Q mid with Q off Respectively represent the original power consumption during the peak, flat and valley periods, ΔQ on , ΔQ mid and ΔQ off Respectively represent the amount of change in electric load during the peak, flat and valley periods, P on ,P mid with P off respectively represent the electricity price during the peak, flat and valley periods, ΔP on , ΔP mid and ΔP off Represent the electricity price changes in the three time periods, ε is the electric...

Embodiment 3

[0135] Such as image 3 As shown, in this embodiment, the reliability and economy of the electrothermal coupling microgrid are evaluated based on the combined electrothermal response. Combined with the timing characteristics of the components and the demand response mechanism, Monte Carlo simulation is used to evaluate the reliability after considering the combined response of electricity and heat, and calculate the economic representative of the response. Focusing on the influence of faults on components such as photovoltaics, power storage, heat storage, electric boilers, and upper-level power grids, the fault-free working time and fault repair time of each component obey the exponential distribution of the equipment failure rate and repair rate as parameters.

[0136] Reliability indicators are represented by the shortage of power supply and the shortage of heat supply, and the demand response costs are calculated respectively. In the context of rapid increase in electrica...

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Abstract

The invention discloses a method for establishing an optimal response model of an electro-thermal coupling microgrid by comprehensively considering reliability and economy. The electro-thermal coupling microgrid comprises a microgrid, a heat supply network and an electric boiler. The microgrid comprises an electric load, an electric energy bus for supplying power to the electric load, distributedphotovoltaics, an electricity storage device and a tie line connected with a superior power grid. The heat supply network comprises a heat energy bus, a heat load and a heat storage device. The electric boiler is connected with the electric bus and the heat bus. The method comprises the following steps: S1, establishing an output model of each element in the electro-thermal coupling microgrid; S2,establishing an electric heating combined response mechanism; S3, evaluating the reliability and economy of the electro-thermal coupling microgrid based on the electro-thermal joint response; S4, establishing an electricity-heat joint response model by taking the optimal comprehensive benefit as a target; and S5, solving the electro-thermal joint optimal response model based on a genetic algorithm. The method has the advantages that the electricity-heat joint optimal demand response comprehensively considering the reliability and the economy is realized. The maximization of the comprehensivebenefit of the electricity-heat coupling microgrid is realized.

Description

technical field [0001] The invention relates to the field of optimized operation of an integrated energy system, in particular to a method for establishing an optimal response model of an electric-thermal coupling microgrid that comprehensively considers reliability and economy. Background technique [0002] In the process of coordinated development of cities and energy, in order to further improve energy utilization efficiency and improve the safety and economy of energy system operation, it is necessary to build a unified social comprehensive energy system and break the inherent mode of separate planning and independent operation of each energy system. Carry out overall design and operation optimization. The concept of Energy Internet and integrated energy system came into being. As a key node of the Energy Internet, the integrated energy microgrid has received extensive attention due to its flexible operation mode. Integrated energy microgrid generally covers integrated...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q30/02G06Q50/06
CPCG06Q10/04G06Q30/0206G06Q50/06G06F30/20
Inventor 江红胜韩庆浩
Owner CHINA MINSHENG INVESTMENT CORP
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