CN-122020782-A - Building group demand response potential multidimensional rapid evaluation method considering user will

CN122020782ACN 122020782 ACN122020782 ACN 122020782ACN-122020782-A

Abstract

The invention discloses a multidimensional and rapid evaluation method for demand response potential of a building group in consideration of user will. The method comprises the steps of constructing an energy plus calculation model and an RC initial model of a typical building type, respectively inputting the same input data into the energy plus calculation model and the RC model to obtain a first calculation result of the energy plus calculation model and a second calculation result of the RC model, fitting to obtain an error value, adjusting model parameters of the RC initial model according to the error value to obtain an RC accurate model, analyzing a demand response result based on the RC accurate model to obtain physical attribute indexes, social attribute indexes and economic attribute indexes and the response adjustment probability of users in a building group, and further calculating to obtain a demand response index of the building group. The method adopts more diversified evaluation indexes and takes user response will into consideration so as to evaluate the demand response potential of the building group more scientifically and accurately.

Inventors

FENG GUIQING
JING ZHIJUN
YU KUN
DENG WANLI
ZHANG XINYONG
LI TANXIN
WANG QING
YANG FAN
DUAN MENGFAN
LIN BORONG
SHEN JUN

Assignees

深能源(深圳)创新技术有限公司
深圳能源集团股份有限公司
深圳用能科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260112

Claims (10)

1. A method for multidimensional and rapid assessment of building group demand response potential in consideration of user will, the method comprising: constructing an energy plus calculation model and an RC initial model of a typical building type; Respectively inputting the same input data into an energy plus calculation model and an RC model to obtain a first calculation result of the energy plus calculation model and a second calculation result of the RC model; fitting the first calculation result and the second calculation result to obtain an error value, and adjusting model parameters of the RC initial model according to the error value to obtain an RC accurate model; Based on the RC accurate model, carrying out demand response on each single building, and analyzing a demand response result to obtain a physical attribute index, a social attribute index and an economic attribute index; And calculating the probability of the user participating in response adjustment in the building group based on the RC accurate model, and calculating the demand response index of the building group according to the probability of the user participating in response adjustment, the physical attribute index, the social attribute index and the economic attribute index.
2. The method for multidimensional quick assessment of demand response potential of a building group in consideration of user intent of claim 1, wherein the typical building types include office building types, commercial building types, and residential building types.
3. The multi-dimensional rapid assessment method for demand response potential of building group considering user will according to claim 1, wherein the same input data are respectively input into an energy plus calculation model and an RC model to obtain a first calculation result of the energy plus calculation model and a second calculation result of the RC model, comprising: inputting weather information, indoor heat and an indoor temperature set value into an energy plus building model, and calculating to obtain historical data of building load and indoor temperature as a first calculation result; And inputting weather information, indoor heat and indoor temperature set values into an RC model, and calculating to obtain building load data as a second calculation result.
4. The multi-dimensional rapid assessment method for demand response potential of building group according to claim 1, wherein fitting the first calculation result and the second calculation result to obtain an error value comprises: An average absolute error between the first calculation result and the second calculation result is calculated.
5. The multi-dimensional rapid assessment method for demand response potential of building group according to claim 4, wherein the method for obtaining the accurate model of RC by adjusting model parameters of the initial model of RC according to the error value comprises the steps of: Setting a preset range of each model parameter, and iteratively updating the model parameters of the RC initial model by using a non-dominant sorting genetic algorithm until the average absolute error reaches a preset condition, wherein each model parameter comprises an outer wall heat transfer coefficient, an outer wall heat capacity, an outer window heat transfer coefficient, an indoor heat capacity, an indoor air quality, an inner wall heat transfer coefficient, a wall absorptivity, an area coefficient and a wet volume coefficient.
6. The multi-dimensional rapid assessment method for demand response potential of building group according to claim 1, wherein the physical attribute evaluation index is energy storage and release per unit area The expression is as follows: ; In the formula, For a user to build a load at his preferred temperature, To implement the current load of unit demand response potential, Is the building air conditioning area.
7. The multi-dimensional rapid assessment method for demand response potential of building group considering user will according to claim 1, wherein the social attribute evaluation index is unit thermal comfort influence cost The expression is as follows: ; In the formula, For thermal comfort of the user at the temperature that he prefers, In order to demand thermal comfort in response to the implementation conditions, Indicating the energy storage and release per unit area.
8. The multi-dimensional rapid assessment method for demand response potential of building group considering user will according to claim 1, wherein the economic attribute evaluation index is unit economic benefit The expression is as follows: ; In the formula, For the price of electricity in the time-sharing electricity price peak period, To be the electricity price in the flat valley period of the time sharing electricity price, Indicating the charge capacity of the unit, Indicating the unit energy release.
9. The method for multidimensional, rapid assessment of building group demand response potential in consideration of user intent of claim 1, wherein the probability of user participation in response adjustment The expression of (2) is as follows: , ; Where PMV represents thermal comfort.
10. The multi-dimensional rapid assessment method for demand response potential of building group according to claim 1, wherein the expression of the demand response index of the building group is: ; In the formula, Represent the first Building-like first The index of the unit area of the term, Is the first The total area of the building-like structure, Is the first The probability of the building-like user participating in the demand response, Is the first building group A term index.

Description

Building group demand response potential multidimensional rapid evaluation method considering user will Technical Field The invention belongs to the technical field of novel energy system planning and design, and particularly relates to a multidimensional and rapid evaluation method for demand response potential of a building group in consideration of user will. Background Under the background of energy transformation and novel power system construction, demand response has become a key means for improving the supply and demand balance capacity of a power system and excavating flexible adjustment potential of a building. The demand response potential of the building single body and the building group is rapidly evaluated in a multidimensional way, and key references can be provided for clearing the demand response potential characteristics of the building and formulating the flexible regulation strategy of the building group. Currently, building demand response potential assessment is mostly limited to a single assessment dimension, namely, only the load scale or the electric quantity is regulated in a period of time, and other core performance indexes of building demand response are lack of effective assessment. In addition, most studies are evaluating specific building scenarios, and the method is not universal enough. In the modeling layer, the existing demand response potential evaluation is dependent on a complex physical model, and although the application value of a simplified physical model is focused, how to ensure the evaluation precision and determine reasonable parameters is still a technical bottleneck to be broken through. Meanwhile, in the evaluation process related to the building group, lack of consideration on the willingness of the user to participate in the demand response may cause deviation between the evaluation result and the actual situation. The prior patent CN120087524A, a flexible regulation potential prediction method and device for the air conditioner of the residential building group based on uncertainty, comprises five steps of data acquisition and random prediction modeling, reference energy consumption prediction model construction, flexible regulation strategy decision, energy consumption prediction after regulation and demand potential evaluation. The data acquisition and the random prediction modeling are to collect domestic and civil energy habits through actual measurement of a user and questionnaire investigation, extract typical use characteristics of an air conditioner by adopting a clustering algorithm, construct a random prediction model by combining a Monte Carlo method, and quantify various uncertainties. The construction of the reference energy consumption prediction model is to collect the building plane layout and the thermal performance of the building enclosure structure of the living area, construct a building performance calculation model through energy plus, input randomly predicted parameters and finish the reference energy consumption simulation. And the flexible regulation strategy decision is to decide whether each air conditioner executes the regulation strategy every day based on the prediction result of the regulation will of the resident. The adjusted energy consumption prediction is the refrigeration and heating energy consumption prediction after the adjustment is completed. The potential evaluation is to select three core indexes, namely load flexibility, energy flexibility and flexible income calculation and adjustment potential. However, this patent focuses on the implementation of load potential assessment based on complex physical computing tools (energy plus), which may have problems of slow speed and complex modeling in predicting relevant metrics for building clusters. Furthermore, this patent only relates to one type of building of a residential building and not to other types of building, so there is a certain limitation in the evaluation system. The prior patent CN112990574B, an evaluation method and system based on the flexible adjustment potential index of the building energy, comprises the following steps of step 1, determining the flexible adjustment potential index of the building energy according to the type of the target working condition. And 2, evaluating based on the potential indexes, and determining the peak-valley adjustment margin range of the power grid. And step 1, calculating three adjustment potential models of the building body energy consumption model, the energy storage equipment adjustable capacity model and the building temperature control load adjustment potential model. And step 2, calculating the adjustment quantity of each module based on the specific condition matching working condition and the model, integrating the results, and determining the peak-valley adjustment margin range of the power grid. However, the method for calculating the energy consumption of the building body is simpler, and the accuracy