CN118242782B - Flexible operation control method for medium-deep ground source heat pump system - Google Patents

Flexible operation control method for medium-deep ground source heat pump system Download PDF

Info

Publication number
CN118242782B
CN118242782B CN202410642740.9A CN202410642740A CN118242782B CN 118242782 B CN118242782 B CN 118242782B CN 202410642740 A CN202410642740 A CN 202410642740A CN 118242782 B CN118242782 B CN 118242782B
Authority
CN
China
Prior art keywords
heat
deep
building
super
buried pipe
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202410642740.9A
Other languages
Chinese (zh)
Other versions
CN118242782A (en
Inventor
徐伟
张小松
王伟
李骥
袁闪闪
徐宏庆
黄世芳
杜玉吉
国德防
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Institute Of Architectural Design And Research Co ltd
Cecep City Energy Conservation Co ltd
Beijing University of Technology
Southeast University
Qingdao Haier Air Conditioning Electric Co Ltd
China Academy of Building Research CABR
Original Assignee
Beijing Institute Of Architectural Design And Research Co ltd
Cecep City Energy Conservation Co ltd
Beijing University of Technology
Southeast University
Qingdao Haier Air Conditioning Electric Co Ltd
China Academy of Building Research CABR
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Institute Of Architectural Design And Research Co ltd, Cecep City Energy Conservation Co ltd, Beijing University of Technology, Southeast University, Qingdao Haier Air Conditioning Electric Co Ltd, China Academy of Building Research CABR filed Critical Beijing Institute Of Architectural Design And Research Co ltd
Priority to CN202410642740.9A priority Critical patent/CN118242782B/en
Publication of CN118242782A publication Critical patent/CN118242782A/en
Application granted granted Critical
Publication of CN118242782B publication Critical patent/CN118242782B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24TGEOTHERMAL COLLECTORS; GEOTHERMAL SYSTEMS
    • F24T50/00Geothermal systems 
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24TGEOTHERMAL COLLECTORS; GEOTHERMAL SYSTEMS
    • F24T2201/00Prediction; Simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention discloses a flexible operation control method of a medium-deep ground source heat pump system, which comprises the steps of establishing a medium-deep ground source heat pump buried pipe heat transfer calculation model based on a deep hole coaxial buried pipe heat exchanger heat transfer mechanism, establishing a building load calculation model based on a simulation method, predicting energy consumption side super supply requirements of a building based on indoor temperature dynamic simulation calculation and thermal load dynamic simulation calculation according to the adjustment target value, comparing and analyzing the maximum heat-taking performance with heat-taking performance under a medium-deep ground pipe reference working condition to obtain heat source supply side super capacity, carrying out matching analysis on the heat source supply side super capacity and the building energy consumption side super supply requirements to obtain matching data, and establishing a regulation and control decision of the medium-deep ground source heat pump system according to the matching data. The method not only can improve the accuracy of the operation control of the middle-deep ground source heat pump system, but also has better interpretability, and can be directly applied to the operation control system of the middle-deep ground source heat pump system.

Description

一种中深层地源热泵系统柔性运行控制方法A flexible operation control method for medium-deep ground source heat pump system

技术领域Technical Field

本发明涉及控制领域,尤其涉及一种中深层地源热泵系统柔性运行控制方法。The present invention relates to the field of control, and in particular to a flexible operation control method for a medium-deep ground source heat pump system.

背景技术Background Art

随着全球能源危机和环境污染问题的日益严重,节能与环保已成为当今社会关注的焦点。在建筑领域,如何有效利用建筑本体的蓄热能力,提高能源利用效率,减少能源消耗,成为了一个亟待解决的问题。中深层地源热泵系统作为一种高效、环保的能源利用方式,在近年来得到了广泛的应用。如何更好地运行控制中深层地源热泵系统,使其与建筑本体的蓄热能力相结合,进一步提高能源利用效率和系统运行稳定性,是当前领域内的一个技术难题。With the increasing severity of the global energy crisis and environmental pollution, energy conservation and environmental protection have become the focus of today's society. In the field of construction, how to effectively utilize the heat storage capacity of the building itself, improve energy efficiency, and reduce energy consumption has become an urgent problem to be solved. As an efficient and environmentally friendly way of energy utilization, the medium-deep ground source heat pump system has been widely used in recent years. How to better operate and control the medium-deep ground source heat pump system, combine it with the heat storage capacity of the building itself, and further improve energy efficiency and system operation stability is a technical problem in the current field.

本发明提出了一种利用建筑本体蓄热能力的中深层地源热泵系统运行控制方法,旨在解决上述问题。该方法通过对建筑本体的蓄热能力进行合理利用,与中深层地源热泵系统相结合,实现系统的智能化运行控制,提高能源利用效率,减少能源消耗,同时保证系统的稳定运行。The present invention proposes a method for controlling the operation of a medium-deep geothermal heat pump system that utilizes the heat storage capacity of the building body, aiming to solve the above problems. The method rationally utilizes the heat storage capacity of the building body and combines it with the medium-deep geothermal heat pump system to realize intelligent operation control of the system, improve energy utilization efficiency, reduce energy consumption, and ensure stable operation of the system.

发明内容Summary of the invention

本发明的目的是要提供一种中深层地源热泵系统柔性运行控制方法。The purpose of the present invention is to provide a flexible operation control method for a medium-deep ground source heat pump system.

为达到上述目的,本发明是按照以下技术方案实施的:To achieve the above object, the present invention is implemented according to the following technical solutions:

本发明包括以下步骤:The present invention comprises the following steps:

基于深孔同轴地埋管换热器传热机理建立中深层地源热泵地埋管传热计算模型,基于仿真模拟法建立建筑负荷计算模型,确定运行调控周期内中深层地源热泵系统初始运行策略、冷热电负荷和运行参数;Based on the heat transfer mechanism of deep hole coaxial buried pipe heat exchanger, a heat transfer calculation model of deep-seated ground source heat pump buried pipe is established. Based on the simulation method, a building load calculation model is established to determine the initial operation strategy, heating and cooling loads and operation parameters of the deep-seated ground source heat pump system during the operation and control cycle.

通过实际调研获取中深层地源热泵系统服务用户的电网数据,根据所述电网数据确定电网互动需求,根据所述电网互动需求获取调节目标值;所述电网数据包括电网动态电价政策、电网可再生能源消纳需求、电网电力负荷调控目标值;Obtain the grid data of users served by the medium-deep ground source heat pump system through actual investigation, determine the grid interaction demand based on the grid data, and obtain the adjustment target value based on the grid interaction demand; the grid data includes the grid dynamic electricity price policy, the grid renewable energy consumption demand, and the grid power load regulation target value;

根据所述调节目标值基于室内温度动态仿真计算和热负荷动态仿真计算预测建筑用能侧超供需求,基于动态仿真计算中深层地埋管逐时取热量分析中深层地埋管动态最大取热性能,将所述最大取热性能与中深层地埋管基准工况下取热量进行比较分析获得热源供给侧超供能力;According to the adjustment target value, based on the dynamic simulation calculation of indoor temperature and the dynamic simulation calculation of heat load, the oversupply demand on the building energy consumption side is predicted; based on the dynamic simulation calculation of the hourly heat extraction of the deep underground pipe, the dynamic maximum heat extraction performance of the deep underground pipe is analyzed; the maximum heat extraction performance is compared with the heat extraction under the benchmark working condition of the deep underground pipe to obtain the oversupply capacity of the heat source supply side;

对所述热源供给侧超供能力与所述建筑用能侧超供需求进行匹配性分析获得匹配数据,根据所述匹配数据建立中深层地源热泵系统的调控决策;Performing a matching analysis on the excess supply capacity of the heat source supply side and the excess supply demand of the building energy consumption side to obtain matching data, and establishing a control decision for the medium-deep ground source heat pump system based on the matching data;

根据所述调控决策优化所述中深层地源热泵系统。The mid-deep ground source heat pump system is optimized according to the control decision.

进一步的,基于深孔同轴地埋管换热器传热机理建立中深层地源热泵地埋管传热计算模型的方法,包括:Furthermore, a method for establishing a heat transfer calculation model for a buried pipe of a medium-deep ground source heat pump based on the heat transfer mechanism of a deep hole coaxial buried pipe heat exchanger includes:

中深层地源热泵地埋管传热计算模型采用随机森林算法、数值仿真模拟法、机器学习算法构建;The heat transfer calculation model of the buried pipe of the medium-deep ground source heat pump is constructed using the random forest algorithm, numerical simulation method, and machine learning algorithm;

随机森林算法将贡献度大于0.732的因素输出为中深层地源热泵地埋管传热影响因子;数值仿真模拟法利用计算机软件建立地埋管的物理模型,通过对模型进行数值计算模拟,来预测调整影响因子后的地埋管热传导性能;机器学习算法通过学习地埋管热传导性能规律,计算地埋管传热;The random forest algorithm outputs factors with a contribution greater than 0.732 as the heat transfer influencing factors of the buried pipes of the deep-seated ground-source heat pump; the numerical simulation method uses computer software to establish a physical model of the buried pipes, and performs numerical calculations and simulations on the model to predict the thermal conductivity performance of the buried pipes after adjusting the influencing factors; the machine learning algorithm calculates the heat transfer of the buried pipes by learning the thermal conductivity performance laws of the buried pipes;

计算调整参数:Calculate the adjustment parameters:

其中地埋管传热的第个影响因子为,第个影响因子的重要度为,影响因子的数量为,遗传系数为,随机数为r,调节常数为,第一权重系数为,第二权重系数为,地下温度分布为D,调整参数为The heat transfer of buried pipes The impact factor is , The importance of the impact factor is , the number of impact factors is The heritability coefficient is , the random number is r, and the adjustment constant is , the first weight coefficient is , the second weight coefficient is , the underground temperature distribution is D, and the adjustment parameter is ;

根据调整参数构造目标函数:Construct the objective function based on the adjustment parameters:

其中第i段地埋管的目标函数为,第i段地埋管传递热量为,第i段地埋管流体和周围土壤的温差为,给定中深层地源热泵地埋管传热计算模型的损失函数,表达式为:The objective function of the i-th buried pipe is: , the heat transferred by the buried pipe in the i-th section is , the temperature difference between the fluid in the i-th buried pipe and the surrounding soil is , given the loss function of the heat transfer calculation model of the buried pipe of the medium-deep ground source heat pump, the expression is:

其中第i段地埋管预测传热为,第i段地埋管实际传热为,地埋管段的数量为,第i段地埋管传热的控制系数为,误差系数为The predicted heat transfer of the i-th buried pipe is , the actual heat transfer of the i-th buried pipe is , the number of buried pipe sections is , the control coefficient of heat transfer of the i-th buried pipe is , the error coefficient is .

进一步的,基于仿真模拟法建立建筑负荷计算模型的方法,包括:Furthermore, a method for establishing a building load calculation model based on a simulation method includes:

建筑负荷计算模型采用仿真模拟法、蒙特卡罗方法、人工神经网络算法构建;The building load calculation model is constructed using simulation method, Monte Carlo method and artificial neural network algorithm;

仿真模拟法根据实际数据模拟建筑负荷过程;蒙特卡罗方法在仿真模拟下通过随机抽样估计相关因素;人工神经网络算法建立建筑负荷与相关因素的复杂关系模型,通过训练网络来逼近实际建筑负荷的变化规律;The simulation method simulates the building load process based on actual data; the Monte Carlo method estimates relevant factors through random sampling under simulation; the artificial neural network algorithm establishes a complex relationship model between building load and relevant factors, and approximates the change law of actual building load by training the network;

构建建筑负荷函数,表达式为:Construct the building load function, the expression is:

其中第a个建筑负荷函数为,第a个建筑第k个相关因素的值为,第a个建筑第k个相关因素的标准值为,相关因素的数量为,第k个相关因素的第一贡献度为,第k个相关因素的第二贡献度为,第k个相关因素的第三贡献度为,影响常量为,第a个建筑的室内外温差为,第a个建筑的传热系数为The a-th building load function is , the value of the kth related factor of the ath building is , the standard value of the kth related factor of the ath building is , the number of relevant factors is , the first contribution of the kth related factor is , the second contribution of the kth related factor is , the third contribution of the kth related factor is , the influence constant is , the indoor and outdoor temperature difference of the ath building is , the heat transfer coefficient of the ath building is .

进一步的,确定中深度地源热泵系统的初始运行策略、冷热电负荷和运行参数的方法,包括:Furthermore, the method for determining the initial operation strategy, cooling, heating and electricity loads and operation parameters of the medium-depth ground source heat pump system includes:

中深层地源热泵系统服务用户的室内外边界条件直接影响系统冷热电负荷需求和运行参数,基于热泵系统所在地区的实际历史气象数据,预测确定运行调控周期内室外气象参数;The indoor and outdoor boundary conditions of users served by the medium-deep ground source heat pump system directly affect the system's cooling, heating and electricity load requirements and operating parameters. Based on the actual historical meteorological data of the area where the heat pump system is located, the outdoor meteorological parameters within the operation and control cycle are predicted and determined;

基于中深层地源热泵系统监测和信息采集系统获取热泵系统服务的用户室内边界条件参数;Based on the monitoring and information collection system of the mid-deep ground source heat pump system, the indoor boundary condition parameters of users served by the heat pump system are obtained;

采用仿真模拟法建立热泵系统冷热电多元负荷需求及运行状态预测数学模型,导入室内外边界条件预测参数值,计算用户的冷热需求;The simulation method is used to establish a mathematical model for predicting the cooling, heating and electricity multi-load demand and operating status of the heat pump system, import the predicted parameter values of indoor and outdoor boundary conditions, and calculate the user's cooling and heating demand;

在满足用户冷热需求和舒适度要求的前提下,建立热泵系统的初始运行策略,仿真计算热泵系统的电力负荷、机组负荷率和供回水温度运行状态参数;On the premise of meeting the user's heating and cooling needs and comfort requirements, the initial operation strategy of the heat pump system is established, and the power load, unit load rate and supply and return water temperature operating state parameters of the heat pump system are simulated and calculated;

气象参数包括温度、湿度、风速和太阳能辐射强度;用户室内边界条件参数包括室内温度、室内湿度、设备作息、照明作息和人行为参数。Meteorological parameters include temperature, humidity, wind speed and solar radiation intensity; user indoor boundary condition parameters include indoor temperature, indoor humidity, equipment schedule, lighting schedule and human behavior parameters.

进一步的,根据所述调节目标值基于室内温度动态仿真计算和热负荷动态仿真计算预测建筑用能侧超供需求的方法,包括:Furthermore, a method for predicting the excess demand on the building energy side based on the adjustment target value and the dynamic simulation calculation of indoor temperature and the dynamic simulation calculation of heat load includes:

根据建筑内外的用能数据建立建筑的热负荷和室内外温度的动态仿真模型,根据建筑的使用需求和节能要求设定室内温度调节目标值;Establish a dynamic simulation model of the building's heat load and indoor and outdoor temperature based on the energy consumption data inside and outside the building, and set the indoor temperature adjustment target value based on the building's usage needs and energy-saving requirements;

根据室内温度调节目标值利用动态仿真模型进行室内外温度和热负荷的动态仿真计算。According to the indoor temperature adjustment target value, the dynamic simulation model is used to perform dynamic simulation calculations of indoor and outdoor temperatures and heat loads.

进一步的,将所述最大取热性能与中深层地埋管基准工况下取热量进行比较分析获得热源供给侧超供能力的方法,包括:Furthermore, a method for comparing and analyzing the maximum heat extraction performance with the heat extraction under the medium-deep buried pipe benchmark working condition to obtain the excess supply capacity of the heat source supply side includes:

采用动态仿真计算中深层地埋管逐时取热量,设定常规策略正常运行时的基准工况与参与需求响应前过量供热策略的超供工况,分析中深层地埋管不同运行工况下动态最大取热性能,将动态最大取热性能与中深层地埋管基准工况下取热量进行比较,分析中深层地埋管超供能力及动态响应特性;Dynamic simulation is used to calculate the hourly heat intake of medium-deep buried pipes. The baseline operating conditions of the normal operation of the conventional strategy and the oversupply conditions of the overheating strategy before participating in demand response are set. The dynamic maximum heat intake performance of the medium-deep buried pipes under different operating conditions is analyzed. The dynamic maximum heat intake performance is compared with the heat intake under the baseline conditions of the medium-deep buried pipes. The oversupply capacity and dynamic response characteristics of the medium-deep buried pipes are analyzed.

分析不同超供策略下中深层地埋管系统超供能力、超供时段的累计取热量增量、超供模式全天尖峰取热能力与全天累计取热量增量;Analyze the oversupply capacity of the medium-deep buried pipe system under different oversupply strategies, the cumulative heat gain during the oversupply period, the peak heat gain capacity throughout the day in the oversupply mode, and the cumulative heat gain throughout the day;

将尖峰取热量的众数输出为热源供给侧超供能力。The mode of peak heat intake is output as the excess supply capacity of the heat source supply side.

进一步的,对所述热源供给侧超供能力与所述建筑用能侧超供需求进行匹配性分析获得匹配数据的方法,包括:Furthermore, a method for performing a matching analysis on the excess supply capacity of the heat source supply side and the excess supply demand of the building energy consumption side to obtain matching data includes:

采用自编码器根据建筑用能侧超供需求提取热源供给侧超供能力的超供指标;The autoencoder is used to extract the oversupply index of the oversupply capacity on the heat source supply side according to the oversupply demand on the building energy consumption side;

根据建筑用能侧超供需求的能力标准对热源供给侧超供能力进行匹配,计算能力标准和热源供给侧超供能力的匹配度:According to the capacity standard of the excess demand on the building energy consumption side, the excess capacity on the heat source supply side is matched, and the matching degree between the capacity standard and the excess capacity on the heat source supply side is calculated:

其中热源供给侧超供能力的匹配度为,第s个超供指标的偏差值为,第s个超供指标的最大标准值为,第s个超供指标的最小标准值为,第s个超供指标值为,自然常数为e,余弦函数为,超供指标的数量为,重要程度为,控制因子为The matching degree of the excess supply capacity of the heat source supply side is , the deviation value of the sth oversupply indicator is , the maximum standard value of the sth oversupply index is , the minimum standard value of the sth oversupply indicator is , the sth oversupply index value is , the natural constant is e, and the cosine function is , the number of oversupply indicators is , the importance is , the control factor is ;

当匹配度小于0.82时,则表示热源供给侧超供能力不能满足建筑末端用能侧超供需求,将能源系统按最大供热能力投入运行,直至响应开始时间;When the matching degree is less than 0.82, it means that the excess supply capacity of the heat source supply side cannot meet the excess supply demand of the building terminal energy consumption side, and the energy system is put into operation at the maximum heating capacity until the response start time;

若匹配度大于0.82,则表示热源供给侧超供能力能够满足建筑末端用能侧超供需求,根据热源系统超供能力、用户侧超供负荷量和超供时间测算热源系统超供运行所需的预留时长,其他时间热源系统按正常运行,直到热源系统按超供工况运行。If the matching degree is greater than 0.82, it means that the oversupply capacity of the heat source supply side can meet the oversupply demand on the terminal energy consumption side of the building. The reserved time required for the oversupply operation of the heat source system is calculated based on the oversupply capacity of the heat source system, the oversupply load on the user side and the oversupply time. The heat source system operates normally at other times until the heat source system operates according to the oversupply conditions.

进一步的,根据所述调控决策优化所述中深层地源热泵系统的方法,包括:Furthermore, the method for optimizing the mid-deep geothermal heat pump system according to the control decision includes:

根据运维数据和基线负荷,分析当前电力需求侧响应时段的电力负荷削减量和峰值负荷削减量响应效益,根据调控决策调整中深层地源热泵系统的参数,直到误差范围低于0.19。According to the operation and maintenance data and baseline load, the power load reduction and peak load reduction response benefits during the current power demand side response period are analyzed, and the parameters of the medium and deep ground source heat pump system are adjusted according to the control decision until the error range is lower than 0.19.

第二方面,本申请实施例还提供一种电子设备,包括:In a second aspect, an embodiment of the present application further provides an electronic device, including:

处理器;以及被安排成存储计算机可执行指令的存储器,所述可执行指令在被执行时使所述处理器执行第一方面所述的方法步骤。A processor; and a memory arranged to store computer executable instructions, which when executed cause the processor to perform the method steps described in the first aspect.

第三方面,本申请实施例还提供一种计算机可读存储介质,所述计算机可读存储介质存储一个或多个程序,所述一个或多个程序当被包括多个应用程序的电子设备执行时,使得所述电子设备执行第一方面所述的方法步骤。In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, which stores one or more programs. When the one or more programs are executed by an electronic device including multiple applications, the electronic device executes the method steps described in the first aspect.

本发明的有益效果是:The beneficial effects of the present invention are:

本发明是一种中深层地源热泵系统柔性运行控制方法,与现有技术相比,本发明具有以下技术效果:The present invention is a flexible operation control method for a medium-deep ground source heat pump system. Compared with the prior art, the present invention has the following technical effects:

本发明通过模型构建、匹配性分析、动态仿真计算、获取调整决策和优化模型步骤,可以提高中深层地源热泵系统运行控制的准确性,从而提高中深层地源热泵系统运行控制的精度,将中深层地源热泵系统运行控制优化,可以大大节省资源,提高工作效率,可以实现对中深层地源热泵系统运行进行智能控制,实时对中深层地源热泵系统运行控制进行决策调整,对中深层地源热泵系统运行控制具有重要意义,可以适应不同标准的中深层地源热泵系统运行控制、不同中深层地源热泵系统运行控制需求,具有一定的普适性。The present invention can improve the accuracy of the operation control of the medium-deep geothermal heat pump system through model construction, matching analysis, dynamic simulation calculation, acquisition of adjustment decisions and optimization model steps, thereby improving the accuracy of the operation control of the medium-deep geothermal heat pump system, and optimizing the operation control of the medium-deep geothermal heat pump system, which can greatly save resources and improve work efficiency, and can realize intelligent control of the operation of the medium-deep geothermal heat pump system, and make real-time decision adjustments to the operation control of the medium-deep geothermal heat pump system, which is of great significance to the operation control of the medium-deep geothermal heat pump system, can adapt to the operation control of the medium-deep geothermal heat pump system of different standards and different operation control requirements of the medium-deep geothermal heat pump system, and has a certain universality.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

图1为本发明一种中深层地源热泵系统柔性运行控制方法的步骤流程图;FIG1 is a flow chart of the steps of a flexible operation control method for a medium-deep ground source heat pump system according to the present invention;

图2为本说明书实施例中一种电子设备的结构示意图。FIG. 2 is a schematic diagram of the structure of an electronic device in an embodiment of this specification.

具体实施方式DETAILED DESCRIPTION

下面通过具体实施例对本发明作进一步描述,在此发明的示意性实施例以及说明用来解释本发明,但并不作为对本发明的限定。The present invention is further described below by means of specific examples. The illustrative examples and descriptions of the present invention are used to explain the present invention but are not intended to limit the present invention.

本发明一种中深层地源热泵系统柔性运行控制方法包括以下步骤:A flexible operation control method for a medium-deep ground source heat pump system of the present invention comprises the following steps:

如图1所示,在本实施例中,包括以下步骤:As shown in FIG1 , in this embodiment, the following steps are included:

基于深孔同轴地埋管换热器传热机理建立中深层地源热泵地埋管传热计算模型,基于仿真模拟法建立建筑负荷计算模型,确定运行调控周期内中深层地源热泵系统初始运行策略、冷热电负荷和运行参数;Based on the heat transfer mechanism of deep hole coaxial buried pipe heat exchanger, a heat transfer calculation model of deep-seated ground source heat pump buried pipe is established. Based on the simulation method, a building load calculation model is established to determine the initial operation strategy, heating and cooling loads and operation parameters of the deep-seated ground source heat pump system during the operation and control cycle.

通过实际调研获取中深层地源热泵系统服务用户的电网数据,根据所述电网数据确定电网互动需求,根据所述电网互动需求获取调节目标值;所述电网数据包括电网动态电价政策、电网可再生能源消纳需求、电网电力负荷调控目标值;Obtain the grid data of users served by the medium-deep ground source heat pump system through actual investigation, determine the grid interaction demand based on the grid data, and obtain the adjustment target value based on the grid interaction demand; the grid data includes the grid dynamic electricity price policy, the grid renewable energy consumption demand, and the grid power load regulation target value;

根据所述调节目标值基于室内温度动态仿真计算和热负荷动态仿真计算预测建筑用能侧超供需求,基于动态仿真计算中深层地埋管逐时取热量分析中深层地埋管动态最大取热性能,将所述最大取热性能与中深层地埋管基准工况下取热量进行比较分析获得热源供给侧超供能力;According to the adjustment target value, based on the dynamic simulation calculation of indoor temperature and the dynamic simulation calculation of heat load, the oversupply demand on the building energy consumption side is predicted; based on the dynamic simulation calculation of the hourly heat extraction of the deep underground pipe, the dynamic maximum heat extraction performance of the deep underground pipe is analyzed; the maximum heat extraction performance is compared with the heat extraction under the benchmark working condition of the deep underground pipe to obtain the oversupply capacity of the heat source supply side;

对所述热源供给侧超供能力与所述建筑用能侧超供需求进行匹配性分析获得匹配数据,根据所述匹配数据建立中深层地源热泵系统的调控决策;Performing a matching analysis on the excess supply capacity of the heat source supply side and the excess supply demand of the building energy consumption side to obtain matching data, and establishing a control decision for the medium-deep ground source heat pump system based on the matching data;

根据所述调控决策优化所述中深层地源热泵系统。The mid-deep ground source heat pump system is optimized according to the control decision.

在本实施例中,基于深孔同轴地埋管换热器传热机理建立中深层地源热泵地埋管传热计算模型的方法,包括:In this embodiment, a method for establishing a heat transfer calculation model for a medium-deep ground source heat pump ground pipe based on the heat transfer mechanism of a deep hole coaxial ground pipe heat exchanger includes:

中深层地源热泵地埋管传热计算模型采用随机森林算法、数值仿真模拟法、机器学习算法构建;The heat transfer calculation model of the buried pipe of the medium-deep ground source heat pump is constructed using the random forest algorithm, numerical simulation method, and machine learning algorithm;

随机森林算法将贡献度大于0.732的因素输出为中深层地源热泵地埋管传热影响因子;数值仿真模拟法利用计算机软件建立地埋管的物理模型,通过对模型进行数值计算模拟,来预测调整影响因子后的地埋管热传导性能;机器学习算法通过学习地埋管热传导性能规律,计算地埋管传热;The random forest algorithm outputs factors with a contribution greater than 0.732 as the heat transfer influencing factors of the buried pipes of the deep-seated ground-source heat pump; the numerical simulation method uses computer software to establish a physical model of the buried pipes, and performs numerical calculations and simulations on the model to predict the thermal conductivity performance of the buried pipes after adjusting the influencing factors; the machine learning algorithm calculates the heat transfer of the buried pipes by learning the thermal conductivity performance laws of the buried pipes;

计算调整参数:Calculate the adjustment parameters:

其中地埋管传热的第个影响因子为,第个影响因子的重要度为,影响因子的数量为,遗传系数为,随机数为r,调节常数为,第一权重系数为,第二权重系数为,地下温度分布为D,调整参数为The heat transfer of buried pipes The impact factor is , The importance of the impact factor is , the number of impact factors is The heritability coefficient is , the random number is r, and the adjustment constant is , the first weight coefficient is , the second weight coefficient is , the underground temperature distribution is D, and the adjustment parameter is ;

根据调整参数构造目标函数:Construct the objective function based on the adjustment parameters:

其中第i段地埋管的目标函数为,第i段地埋管传递热量为,第i段地埋管流体和周围土壤的温差为,给定中深层地源热泵地埋管传热计算模型的损失函数,表达式为:The objective function of the i-th buried pipe is: , the heat transferred by the buried pipe in the i-th section is , the temperature difference between the fluid in the i-th buried pipe and the surrounding soil is , given the loss function of the heat transfer calculation model of the buried pipe of the medium-deep ground source heat pump, the expression is:

其中第i段地埋管预测传热为,第i段地埋管实际传热为,地埋管段的数量为,第i段地埋管传热的控制系数为,误差系数为The predicted heat transfer of the i-th buried pipe is , the actual heat transfer of the i-th buried pipe is , the number of buried pipe sections is , the control coefficient of heat transfer of the i-th buried pipe is , the error coefficient is .

在本实施例中,基于仿真模拟法建立建筑负荷计算模型的方法,包括:In this embodiment, the method for establishing a building load calculation model based on the simulation method includes:

建筑负荷计算模型采用仿真模拟法、蒙特卡罗方法、人工神经网络算法构建;The building load calculation model is constructed using simulation method, Monte Carlo method and artificial neural network algorithm;

仿真模拟法根据实际数据模拟建筑负荷过程;蒙特卡罗方法在仿真模拟下通过随机抽样估计相关因素;人工神经网络算法建立建筑负荷与相关因素的复杂关系模型,通过训练网络来逼近实际建筑负荷的变化规律;The simulation method simulates the building load process based on actual data; the Monte Carlo method estimates relevant factors through random sampling under simulation; the artificial neural network algorithm establishes a complex relationship model between building load and relevant factors, and approximates the change law of actual building load by training the network;

构建建筑负荷函数,表达式为:Construct the building load function, the expression is:

其中第a个建筑负荷函数为,第a个建筑第k个相关因素的值为,第a个建筑第k个相关因素的标准值为,相关因素的数量为,第k个相关因素的第一贡献度为,第k个相关因素的第二贡献度为,第k个相关因素的第三贡献度为,影响常量为,第a个建筑的室内外温差为,第a个建筑的传热系数为The a-th building load function is , the value of the kth related factor of the ath building is , the standard value of the kth related factor of the ath building is , the number of relevant factors is , the first contribution of the kth related factor is , the second contribution of the kth related factor is , the third contribution of the kth related factor is , the influence constant is , the indoor and outdoor temperature difference of the ath building is , the heat transfer coefficient of the ath building is .

在本实施例中,确定中深度地源热泵系统的初始运行策略、冷热电负荷和运行参数的方法,包括:In this embodiment, the method for determining the initial operation strategy, cooling, heating and electricity loads and operation parameters of the medium-depth ground source heat pump system includes:

中深层地源热泵系统服务用户的室内外边界条件直接影响系统冷热电负荷需求和运行参数,基于热泵系统所在地区的实际历史气象数据,预测确定运行调控周期内室外气象参数;The indoor and outdoor boundary conditions of users served by the medium-deep ground source heat pump system directly affect the system's cooling, heating and electricity load requirements and operating parameters. Based on the actual historical meteorological data of the area where the heat pump system is located, the outdoor meteorological parameters within the operation and control cycle are predicted and determined;

基于中深层地源热泵系统监测和信息采集系统获取热泵系统服务的用户室内边界条件参数;Based on the monitoring and information collection system of the mid-deep ground source heat pump system, the indoor boundary condition parameters of users served by the heat pump system are obtained;

采用仿真模拟法建立热泵系统冷热电多元负荷需求及运行状态预测数学模型,导入室内外边界条件预测参数值,计算用户的冷热需求;The simulation method is used to establish a mathematical model for predicting the cooling, heating and electricity multi-load demand and operating status of the heat pump system, import the predicted parameter values of indoor and outdoor boundary conditions, and calculate the user's cooling and heating demand;

在满足用户冷热需求和舒适度要求的前提下,建立热泵系统的初始运行策略,仿真计算热泵系统的电力负荷、机组负荷率和供回水温度运行状态参数;On the premise of meeting the user's heating and cooling needs and comfort requirements, the initial operation strategy of the heat pump system is established, and the power load, unit load rate and supply and return water temperature operating state parameters of the heat pump system are simulated and calculated;

气象参数包括温度、湿度、风速和太阳能辐射强度;用户室内边界条件参数包括室内温度、室内湿度、设备作息、照明作息和人行为参数。Meteorological parameters include temperature, humidity, wind speed and solar radiation intensity; user indoor boundary condition parameters include indoor temperature, indoor humidity, equipment schedule, lighting schedule and human behavior parameters.

在本实施例中,根据所述调节目标值基于室内温度动态仿真计算和热负荷动态仿真计算预测建筑用能侧超供需求的方法,包括:In this embodiment, the method for predicting the excess demand on the building energy consumption side based on the adjustment target value based on the dynamic simulation calculation of indoor temperature and the dynamic simulation calculation of heat load includes:

根据建筑内外的用能数据建立建筑的热负荷和室内外温度的动态仿真模型,根据建筑的使用需求和节能要求设定室内温度调节目标值;Establish a dynamic simulation model of the building's heat load and indoor and outdoor temperature based on the energy consumption data inside and outside the building, and set the indoor temperature adjustment target value based on the building's usage needs and energy-saving requirements;

根据室内温度调节目标值利用动态仿真模型进行室内外温度和热负荷的动态仿真计算。According to the indoor temperature adjustment target value, the dynamic simulation model is used to perform dynamic simulation calculations of indoor and outdoor temperatures and heat loads.

在本实施例中,将所述最大取热性能与中深层地埋管基准工况下取热量进行比较分析获得热源供给侧超供能力的方法,包括:In this embodiment, the method of comparing and analyzing the maximum heat extraction performance with the heat extraction under the medium-deep buried pipe benchmark working condition to obtain the excess supply capacity of the heat source supply side includes:

采用动态仿真计算中深层地埋管逐时取热量,设定常规策略正常运行时的基准工况与参与需求响应前过量供热策略的超供工况,分析中深层地埋管不同运行工况下动态最大取热性能,将动态最大取热性能与中深层地埋管基准工况下取热量进行比较,分析中深层地埋管超供能力及动态响应特性;Dynamic simulation is used to calculate the hourly heat intake of medium-deep buried pipes. The baseline operating conditions of the normal operation of the conventional strategy and the oversupply conditions of the overheating strategy before participating in demand response are set. The dynamic maximum heat intake performance of the medium-deep buried pipes under different operating conditions is analyzed. The dynamic maximum heat intake performance is compared with the heat intake under the baseline conditions of the medium-deep buried pipes. The oversupply capacity and dynamic response characteristics of the medium-deep buried pipes are analyzed.

分析不同超供策略下中深层地埋管系统超供能力、超供时段的累计取热量增量、超供模式全天尖峰取热能力与全天累计取热量增量;Analyze the oversupply capacity of the medium-deep buried pipe system under different oversupply strategies, the cumulative heat gain during the oversupply period, the peak heat gain capacity throughout the day in the oversupply mode, and the cumulative heat gain throughout the day;

将尖峰取热量的众数输出为热源供给侧超供能力。The mode of peak heat intake is output as the excess supply capacity of the heat source supply side.

在本实施例中,对所述热源供给侧超供能力与所述建筑用能侧超供需求进行匹配性分析获得匹配数据的方法,包括:In this embodiment, the method of performing matching analysis on the excess supply capacity of the heat source supply side and the excess supply demand of the building energy consumption side to obtain matching data includes:

采用自编码器根据建筑用能侧超供需求提取热源供给侧超供能力的超供指标;The autoencoder is used to extract the oversupply index of the oversupply capacity on the heat source supply side according to the oversupply demand on the building energy consumption side;

根据建筑用能侧超供需求的能力标准对热源供给侧超供能力进行匹配,计算能力标准和热源供给侧超供能力的匹配度:According to the capacity standard of the excess demand on the building energy consumption side, the excess capacity on the heat source supply side is matched, and the matching degree between the capacity standard and the excess capacity on the heat source supply side is calculated:

其中热源供给侧超供能力的匹配度为,第s个超供指标的偏差值为,第s个超供指标的最大标准值为,第s个超供指标的最小标准值为,第s个超供指标值为,自然常数为e,余弦函数为,超供指标的数量为,重要程度为,控制因子为The matching degree of the excess supply capacity of the heat source supply side is , the deviation value of the sth oversupply indicator is , the maximum standard value of the sth oversupply index is , the minimum standard value of the sth oversupply indicator is , the sth oversupply index value is , the natural constant is e, and the cosine function is , the number of oversupply indicators is , the importance is , the control factor is ;

当匹配度小于0.82时,则表示热源供给侧超供能力不能满足建筑末端用能侧超供需求,将能源系统按最大供热能力投入运行,直至响应开始时间;When the matching degree is less than 0.82, it means that the excess supply capacity of the heat source supply side cannot meet the excess supply demand of the building terminal energy consumption side, and the energy system is put into operation at the maximum heating capacity until the response start time;

若匹配度大于0.82,则表示热源供给侧超供能力能够满足建筑末端用能侧超供需求,根据热源系统超供能力、用户侧超供负荷量和超供时间测算热源系统超供运行所需的预留时长,其他时间热源系统按正常运行,直到热源系统按超供工况运行。If the matching degree is greater than 0.82, it means that the oversupply capacity of the heat source supply side can meet the oversupply demand on the terminal energy consumption side of the building. The reserved time required for the oversupply operation of the heat source system is calculated based on the oversupply capacity of the heat source system, the oversupply load on the user side and the oversupply time. The heat source system operates normally at other times until the heat source system operates according to the oversupply conditions.

在本实施例中,根据所述调控决策优化所述中深层地源热泵系统的方法,包括:In this embodiment, the method for optimizing the mid-deep ground source heat pump system according to the control decision includes:

根据运维数据和基线负荷,分析当前电力需求侧响应时段的电力负荷削减量和峰值负荷削减量响应效益,根据调控决策调整中深层地源热泵系统的参数,直到误差范围低于0.19。According to the operation and maintenance data and baseline load, the power load reduction and peak load reduction response benefits during the current power demand side response period are analyzed, and the parameters of the medium and deep ground source heat pump system are adjusted according to the control decision until the error range is lower than 0.19.

图2是本申请的一个实施例电子设备的结构示意图。请参考图2,在硬件层面,该电子设备包括处理器,可选地还包括内部总线、网络接口、存储器。其中,存储器可能包含内存,例如高速随机存取存储器(Random-Access Memory,RAM),也可能还包括非易失性存储器(non-volatile memory),例如至少1个磁盘存储器等。当然,该电子设备还可能包括其他业务所需要的硬件。FIG2 is a schematic diagram of the structure of an electronic device of an embodiment of the present application. Please refer to FIG2. At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Among them, the memory may include a memory, such as a high-speed random access memory (Random-Access Memory, RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage, etc. Of course, the electronic device may also include hardware required for other services.

处理器、网络接口和存储器可以通过内部总线相互连接,该内部总线可以是ISA(Industry Standard Architecture,工业标准体系结构)总线、PCI(PeripheralComponent Interconnect,外设部件互连标准)总线或EISA(Extended Industry StandardArchitecture,扩展工业标准结构)总线等。所述总线可以分为地址总线、数据总线、控制总线等。为便于表示,图2中仅用一个双向箭头表示,但并不表示仅有一根总线或一种类型的总线。The processor, the network interface and the memory may be interconnected via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, FIG2 only uses one bidirectional arrow, but does not mean that there is only one bus or one type of bus.

存储器,用于存放程序。具体地,程序可以包括程序代码,所述程序代码包括计算机操作指令。存储器可以包括内存和非易失性存储器,并向处理器提供指令和数据。The memory is used to store the program. Specifically, the program may include a program code, and the program code includes a computer operation instruction. The memory may include a memory and a non-volatile memory, and provides instructions and data to the processor.

处理器从非易失性存储器中读取对应的计算机程序到内存中然后运行,在逻辑层面上形成一种中深层地源热泵系统运行控制装置。处理器,执行存储器所存放的程序,并具体用于执行前述任意一种中深层地源热泵系统柔性运行控制方法。The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a medium-deep ground source heat pump system operation control device at the logical level. The processor executes the program stored in the memory and is specifically used to execute any of the above-mentioned medium-deep ground source heat pump system flexible operation control methods.

上述如本申请图1所示实施例揭示的一种中深层地源热泵系统柔性运行控制方法可以应用于处理器中,或者由处理器实现。处理器可能是一种集成电路芯片,具有信号的处理能力。在实现过程中,上述方法的各步骤可以通过处理器中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器可以是通用处理器,包括中央处理器(CentralProcessing Unit,CPU)、网络处理器(Network Processor,NP)等;还可以是数字信号处理器(Digital Signal Processor,DSP)、专用集成电路(Application Specific IntegratedCircuit,ASIC)、现场可编程门阵列(Field-Programmable Gate Array,FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本申请实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本申请实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成,或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器,闪存、只读存储器,可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器,处理器读取存储器中的信息,结合其硬件完成上述方法的步骤。The flexible operation control method of a medium-deep ground source heat pump system disclosed in the embodiment shown in FIG. 1 of the present application can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in a decoding processor. The software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

该电子设备还可执行图1中一种中深层地源热泵系统柔性运行控制方法,并实现图1所示实施例的功能,本申请实施例在此不再赘述。The electronic device can also execute a flexible operation control method for a medium-deep ground source heat pump system in FIG1 , and realize the functions of the embodiment shown in FIG1 , and the embodiments of the present application will not be described in detail here.

本申请实施例还提出了一种计算机可读存储介质,该计算机可读存储介质存储一个或多个程序,该一个或多个程序包括指令,该指令当被包括多个应用程序的电子设备执行时,执行前述的一种中深层地源热泵系统柔性运行控制方法。An embodiment of the present application also proposes a computer-readable storage medium, which stores one or more programs, and the one or more programs include instructions. When the instructions are executed by an electronic device including multiple application programs, they execute the aforementioned flexible operation control method of a medium-deep ground source heat pump system.

本领域内的技术人员应明白,本申请的实施例可提供为方法、系统、或计算机程序产品。因此,本申请可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且,本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

本申请是参照根据本申请实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器,使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。The present application is described with reference to the flowcharts and/or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the processes and/or boxes in the flowchart and/or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate a device for implementing the functions specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.

这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中,使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品,该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上,使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理,从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

在一个典型的配置中,计算设备包括一个或多个处理器 (CPU)、输入/输出接口、网络接口和内存。In a typical configuration, a computing device includes one or more processors (CPU), input/output interfaces, network interfaces, and memory.

内存可能包括计算机可读介质中的非永久性存储器,随机存取存储器 (RAM) 和/或非易失性内存等形式,如只读存储器 (ROM) 或闪存(flash RAM)。内存是计算机可读介质的示例。Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括,但不限于相变内存 (PRAM)、静态随机存取存储器 (SRAM)、动态随机存取存储器 (DRAM)、其他类型的随机存取存储器 (RAM)、只读存储器 (ROM)、电可擦除可编程只读存储器 (EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘 (DVD) 或其他光学存储、磁盒式磁带,磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质,可用于存储可以被计算设备访问的信息。按照本文中的界定,计算机可读介质不包括暂存电脑可读媒体 (transitory media),如调制的数据信号和载波。Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

还需要说明的是,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

本领域技术人员应明白,本申请的实施例可提供为方法、系统或计算机程序产品。因此,本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且,本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

以上所述仅为本发明的较佳实施例,并不用以限制本发明,凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. The flexible operation control method of the medium-deep ground source heat pump system is characterized by comprising the following steps of:
Establishing a medium-deep ground source heat pump buried pipe heat transfer calculation model based on a deep hole coaxial buried pipe heat exchanger heat transfer mechanism, establishing a building load calculation model based on a simulation method, and determining an initial operation strategy, a cold-hot electric load and operation parameters of a medium-deep ground source heat pump system in an operation regulation period;
Acquiring power grid data of a service user of a middle-deep ground source heat pump system through actual investigation, determining power grid interaction requirements according to the power grid data, and acquiring an adjustment target value according to the power grid interaction requirements; the power grid data comprise a power grid dynamic electricity price policy, a power grid renewable energy consumption demand and a power grid power load regulation and control target value;
Predicting the building energy side super-supply demand based on indoor temperature dynamic simulation calculation and thermal load dynamic simulation calculation according to the regulation target value, analyzing the medium-deep buried pipe dynamic maximum heat-taking performance based on the medium-deep buried pipe time-by-time heat-taking performance in dynamic simulation calculation, and comparing and analyzing the maximum heat-taking performance with the heat-taking performance under the medium-deep buried pipe reference working condition to obtain the heat source supply side super-supply capacity;
And carrying out matching analysis on the super capacity of the heat source supply side and the super supply and demand of the building energy side to obtain matching data, establishing a regulation and control decision of the middle-deep ground source heat pump system according to the matching data, and optimizing the middle-deep ground source heat pump system according to the regulation and control decision.
2. The method for flexibly operating and controlling the medium-deep ground source heat pump system according to claim 1, wherein the method for establishing the medium-deep ground source heat pump buried pipe heat transfer calculation model based on the deep hole coaxial buried pipe heat exchanger heat transfer mechanism comprises the following steps:
The medium-deep ground source heat pump buried pipe heat transfer calculation model is constructed by adopting a random forest algorithm, a numerical simulation method and a machine learning algorithm;
The random forest algorithm outputs factors with contribution degree larger than 0.732 as the heat transfer influence factors of the buried pipes of the medium-deep ground source heat pump; the numerical simulation method utilizes computer software to establish a physical model of the buried pipe, and predicts the heat conduction performance of the buried pipe after adjusting the influence factors by performing numerical calculation simulation on the model; the machine learning algorithm calculates the heat transfer loss of the buried pipe by learning the heat transfer performance rule of the buried pipe;
Calculating adjustment parameters:
Wherein the buried pipe transfers heat The individual influencing factors areFirst, theThe importance of the individual influencing factors isThe number of influencing factors isGenetic coefficient ofThe random number is r, and the adjustment constant isThe first weight coefficient isThe second weight coefficient isThe underground temperature distribution is D, and the adjustment parameters are
Constructing an objective function of the buried pipe according to the adjustment parameters:
wherein the objective function of the i-th section of the buried pipe is The i-th section of the buried pipe transfers heat toThe temperature difference between the fluid of the i-th section of the buried pipe and the surrounding soil isGiven a loss function of a buried pipe heat transfer calculation model of the middle-deep layer ground source heat pump, the expression is as follows:
wherein the objective function of the i-th section of the buried pipe is The actual heat transfer of the i-th section of buried pipe isThe number of the underground pipe sections isThe control coefficient of heat transfer of the i-th section of buried pipe isError coefficient is
3. The method for controlling flexible operation of a deep-medium ground source heat pump system according to claim 1, wherein the method for building a building load calculation model based on a simulation method comprises the following steps:
Building a building load calculation model by adopting a simulation method, a Monte Carlo method and an artificial neural network algorithm;
The simulation method simulates a building load process according to actual data; the Monte Carlo method estimates relevant factors through random sampling under simulation; the artificial neural network algorithm establishes a complex relation model of building load and related factors, and approximates the change rule of the actual building load through a training network;
building a building load function, wherein the expression is as follows:
wherein the a-th building load function is The value of the kth related factor of the a building isThe standard value of the kth related factor of the a building isThe number of related factors isThe first contribution degree of the kth related factor isThe second contribution degree of the kth related factor isThe third contribution degree of the kth related factor isThe influence constant isThe indoor and outdoor temperature difference of the a building isThe heat transfer coefficient of the a building is
4. The method for controlling flexible operation of a deep-medium ground source heat pump system according to claim 1, wherein the method for predicting building energy-consumption-side super-supply demand based on indoor temperature dynamic simulation calculation and thermal load dynamic simulation calculation according to the adjustment target value comprises the steps of:
building a dynamic simulation model of the heat load and the indoor and outdoor temperatures of the building according to the energy utilization data inside and outside the building, and setting an indoor temperature regulation target value according to the use requirement and the energy saving requirement of the building;
and carrying out dynamic simulation calculation on the indoor and outdoor temperatures and the thermal load by utilizing a dynamic simulation model according to the indoor temperature regulation target value.
5. The method for controlling flexible operation of a deep-medium ground source heat pump system according to claim 1, wherein the method for comparing and analyzing the maximum heat-extracting performance with the heat-extracting performance under the reference working condition of the deep-medium ground buried pipe to obtain the super capacity of the heat source supply side comprises the following steps:
Setting a reference working condition of normal operation of a conventional strategy and an oversupply working condition of an excessive heating strategy before participating in demand response by adopting dynamic simulation calculation of time-by-time heat extraction of the deep buried pipe, analyzing dynamic maximum heat extraction performance under different operation working conditions of the deep buried pipe, comparing the dynamic maximum heat extraction performance with heat extraction under the reference working condition of the deep buried pipe, and analyzing super-capacity and dynamic response characteristics of the deep buried pipe;
Analyzing the super capacity, accumulated heat gain of super supply period, peak heat gain of super supply mode and accumulated heat gain of whole day of the middle-deep buried pipe system under different super supply strategies;
the peak heat gain mode is outputted as the heat source supply side super capacity.
6. The method for controlling flexible operation of a deep-medium ground source heat pump system according to claim 1, wherein the method for matching the super capacity of the heat source supply side with the super supply and demand of the building energy side to obtain matching data comprises the steps of:
Extracting an oversupply index of the oversupply capacity of the heat source supply side according to the oversupply requirement of the building energy side by adopting a self-encoder;
Matching the super capacity of the heat source supply side according to the capacity standard of the super capacity demand of the building energy side, and calculating the matching degree of the capacity standard and the super capacity of the heat source supply side:
wherein the degree of matching of the super capacity of the heat source supply side is The deviation value of the s-th super-supply index isThe maximum standard value of the s-th super-supply index isThe minimum standard value of the s-th super-supply index isThe s-th super supply index value isThe natural constant is e, the cosine function isThe number of super-supply indexes isThe importance is thatThe control factor is
When the matching degree is smaller than 0.82, the super capacity of the heat source supply side cannot meet the energy-consumption side super supply requirement of the building end, and the middle-deep ground source heat pump system is put into operation according to the maximum heat supply capacity until the response starting time;
if the matching degree is greater than 0.82, the super-capacity of the heat source supply side can meet the energy-side super-supply requirement of the tail end of the building, and the super-supply operation of the middle-deep layer ground source heat pump system is calculated according to the super-capacity of the middle-deep layer ground source heat pump system, the super-supply load capacity of the user side and the super-supply time, so that the middle-deep layer ground source heat pump system operates normally until the middle-deep layer ground source heat pump system operates according to the super-supply working condition.
7. An electronic device, comprising: a processor; and
A memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method of any of claims 1 to 6.
8. A computer readable storage medium storing one or more programs, which when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the method of any of claims 1-6.
CN202410642740.9A 2024-05-23 2024-05-23 Flexible operation control method for medium-deep ground source heat pump system Active CN118242782B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410642740.9A CN118242782B (en) 2024-05-23 2024-05-23 Flexible operation control method for medium-deep ground source heat pump system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410642740.9A CN118242782B (en) 2024-05-23 2024-05-23 Flexible operation control method for medium-deep ground source heat pump system

Publications (2)

Publication Number Publication Date
CN118242782A CN118242782A (en) 2024-06-25
CN118242782B true CN118242782B (en) 2024-08-23

Family

ID=91558970

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410642740.9A Active CN118242782B (en) 2024-05-23 2024-05-23 Flexible operation control method for medium-deep ground source heat pump system

Country Status (1)

Country Link
CN (1) CN118242782B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119880188B (en) * 2025-03-24 2025-06-20 中建安装集团有限公司 A temperature monitoring method and system for a vertical buried pipe ground source heat pump

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107025519A (en) * 2017-03-30 2017-08-08 厦门大学 Area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization method
CN115378002A (en) * 2021-05-17 2022-11-22 华北电力大学(保定) Optimal scheduling model of regional comprehensive energy system based on hybrid energy storage

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2354676A3 (en) * 2010-01-26 2015-02-18 Robert Bosch GmbH Air conditioning device and method for optimising a geothermal energy supply
KR101448453B1 (en) * 2014-03-31 2014-10-14 주식회사 나라컨트롤 The Integrated solution system for Building-energy according to Predictive control, Real-time control, Operation and Management
US12282971B2 (en) * 2020-05-14 2025-04-22 Schlumberger Technology Corporation Distributed energy resource system design and operation
CN116628919A (en) * 2022-12-26 2023-08-22 陕西省煤田地质集团有限公司 Operation design method for efficient sustainable heat extraction of medium-deep coaxial cased well
CN116432382A (en) * 2023-02-08 2023-07-14 国网上海能源互联网研究院有限公司 Hierarchical coupling optimization method, device, equipment and medium for low-carbon building energy system
CN117556696A (en) * 2023-11-10 2024-02-13 西安交通大学 A high computational efficiency design and optimization method for mid-deep geothermal coupled phase change heat storage system
CN117570601A (en) * 2023-12-27 2024-02-20 贵州浅层地温能开发有限公司 Shallow geothermal energy partition utilization system and thermal loss constant regulation and control method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107025519A (en) * 2017-03-30 2017-08-08 厦门大学 Area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization method
CN115378002A (en) * 2021-05-17 2022-11-22 华北电力大学(保定) Optimal scheduling model of regional comprehensive energy system based on hybrid energy storage

Also Published As

Publication number Publication date
CN118242782A (en) 2024-06-25

Similar Documents

Publication Publication Date Title
Wei et al. Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system
Bornatico et al. Optimal sizing of a solar thermal building installation using particle swarm optimization
CN110147568A (en) Integrated energy system energy efficiency evaluating method and device
CN102305451B (en) Mixed ground source heat pump monitoring system and method based on health assessment technology
CN106991504B (en) Building energy consumption prediction method, system and building based on sub-metering time series
CN118242782B (en) Flexible operation control method for medium-deep ground source heat pump system
CN111199065B (en) Zero-energy-consumption building design method and device and terminal equipment
CN116995659B (en) Flexible operation method of heat pump system considering renewable energy source consumption
Xie et al. Development of a group control strategy based on multi-step load forecasting and its application in hybrid ground source heat pump
CN106557843A (en) A kind of using can needing forecasting method
CN118623368A (en) A novel geothermal downhole heat exchanger and solar energy combined heating method and system
CN114358485A (en) Source-load matching evaluation method, system, medium and electronic equipment
CN118396432A (en) Energy efficiency evaluation method and device for district cooling system, and electronic equipment
CN118199181A (en) Power distribution resource optimal configuration system based on intelligent power grid
CN112539449A (en) Multifunctional coupled constant-temperature water supply system and optimization method thereof
CN115275978B (en) A micro energy grid optimization operation method based on improved particle swarm algorithm
CN104269886B (en) The method for calculating for wind-electricity integration power system capacity benefit nargin and distributing
CN118607938A (en) A method and device for optimizing capacity configuration of a virtual power plant including wind, solar, and water storage
CN111968008B (en) Comprehensive energy monitoring system and method based on multi-energy cooperation
CN109740815B (en) Electric load prediction method, device, storage medium and processor
CN115049250B (en) Multi-objective planning method and system for integrated energy system with uncertain supply and demand
CN115660187B (en) Low-carbon town ground source heat pump capacity optimization configuration method
CN114021949B (en) Comprehensive energy system multi-stage planning method, device and electronic equipment
CN113609778B (en) Multi-objective optimization method and system for comprehensive energy system
CN109274124B (en) Prediction method of on-site storage capacity of wind power based on scene Markov method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant