CN112990574B

CN112990574B - Evaluation method and system based on building energy flexible adjustment potential index

Info

Publication number: CN112990574B
Application number: CN202110272480.7A
Authority: CN
Inventors: 牛焕娜; 葛绪伍; 李宗晟; 段夏云; 井天军; 王江波
Original assignee: China Agricultural University
Current assignee: China Agricultural University
Priority date: 2021-03-12
Filing date: 2021-03-12
Publication date: 2024-04-09
Anticipated expiration: 2041-03-12
Also published as: CN112990574A

Abstract

The invention provides an evaluation method and system based on a flexible adjustment potential index of building energy. Wherein the method comprises the following steps: determining corresponding flexible adjustment potential indexes of the building energy according to the target working condition type; the building energy flexible regulation potential index consists of a building body energy model, an energy storage equipment adjustable capacity model and a building temperature control load regulation potential model; and carrying out evaluation processing based on the building energy flexible adjustment potential indexes, and determining a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the peak-valley difference adjustment of the power grid. By adopting the evaluation method based on the flexible regulation potential index of the building energy, the energy consumption characteristic of the building body and the capacity of the temperature control flexible load in the building to participate in the peak-valley difference regulation of the power grid can be fully exerted, and the efficiency and the stability of the building energy to participate in the peak-valley difference regulation of the power grid can be effectively improved.

Description

Evaluation method and system based on building energy flexible adjustment potential index

Technical Field

The invention relates to the technical field of power demand side regulation and control, in particular to an evaluation method and system based on a flexible regulation potential index of building energy. In addition, an electronic device and a non-transitory computer readable storage medium are also provided.

Background

In recent years, with rapid increase of total social energy consumption, for example, terminal energy consumption represented by buildings, building energy consumption is increasing at a very rapid rate each year due to increase of the number of buildings and increase of comfort requirements of users; meanwhile, the electricity utilization ratio of the building temperature control load is also increased year by year, so that the seasonal peak load at the power grid end is rapidly increased, and double load peaks are easily formed in summer and winter. In addition, the electricity utilization behavior of the temperature control load of the users in the building energy tends to be consistent in one day in the summer and winter peak load season, and the peak-valley difference of the daily load curve of the power grid is further enlarged. How to fully develop the energy consumption characteristics of the building body and the capacity of the temperature control flexible load in the building to participate in the peak-valley regulation and control of the power grid becomes a problem to be solved urgently. On the other hand, with the deep research on the energy consumption of the building body and the rapid development of flexible load regulation technology, the whole building is possible to participate in the peak-valley regulation of the power grid. Therefore, the flexible regulation potential evaluation index for the building is analyzed, so that the regulation margin range of the peak-valley difference regulation of the response power grid in the future regulation period of the whole building is evaluated, and the flexible regulation potential evaluation index has important significance for reducing the capacity-increasing transformation of the power grid in cooperation with the peak-valley difference regulation of the power grid.

However, at present, aiming at the problem that the building can participate in the regulation of the peak-valley difference of the power grid, the research of evaluating the building regulation potential by considering the energy consumption of the building body is relatively few, and the related technology of evaluating the index of evaluating the building flexibility regulation potential by comprehensively considering the relative humidity of the characteristics of the building body and the heat disturbance of various personnel is lacking. In addition, the isothermal control load of air conditioner and electric heating occupies a large proportion in the energy load electricity consumption of the building, and under the condition of sacrificing user comfort under the existing load control technology, the method for enabling the energy consumption of the building to participate in the peak-valley difference adjustment of the power grid side through controlling the electricity consumption behavior of the temperature control load is generally the most direct and effective method. Therefore, how to take the whole building energy as the object, and evaluate the flexible regulation potential of the building energy by considering the energy characteristics of the building body and the regulation potential of the temperature control flexible load inside the building body becomes an important subject for researching the building energy to participate in the regulation of the peak-valley difference of the power grid side.

Disclosure of Invention

Therefore, the invention provides a building energy flexible adjustment potential index-based assessment method and system, which are used for solving the problems that the energy consumption characteristic of a building body cannot be fully exerted and the capacity of a temperature control flexible load in the building to participate in power grid peak-valley regulation is poor due to the fact that the related technology of comprehensively considering building body characteristic relative humidity and building flexible adjustment potential assessment indexes of various personnel heat interference is lacking in the prior art.

The invention provides an evaluation method based on a flexible regulation potential index of building energy, which comprises the following steps:

determining corresponding flexible adjustment potential indexes of the building energy according to the target working condition type; the building energy flexible regulation potential index consists of a building body energy model, an energy storage equipment adjustable capacity model and a building temperature control load regulation potential model;

and carrying out evaluation processing based on the building energy flexible adjustment potential indexes, and determining a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the peak-valley difference adjustment of the power grid.

Further, if the target working condition type is a heating working condition, the algorithm formula of the building temperature control load which corresponds to the target environment temperature range and can reduce the heating capacity of the building temperature control load adjustment potential model under the heating working condition comprises the following (1), (3), (5) and (7); the algorithm formula of the building temperature control load corresponding to the target environment temperature range capable of increasing the heating capacity comprises the following (2), (4), (6) and (8);

wherein the target ambient temperature range includes a low temperature discomfort zone, a class II comfort zone, a class I comfort zone, and a high temperature discomfort zone; the temperatures corresponding to the class I comfort zone and the class II comfort zone are between the low temperature uncomfortable zone and the high temperature uncomfortable zone; the temperature corresponding to the II-level comfort zone is higher than the temperature corresponding to the I-level comfort zone;

If T _0,t ≤T _in,t ≤T _II,down (low temperature uncomfortable region);

the algorithm formula of the building temperature control load capable of reducing the heating amount is as follows:

the algorithm formula of the building temperature control load capable of increasing heating capacity is as follows:

if T _II,down ≤T _in,t ≤T _II,up (class II comfort zone);

if T _I,down ≤T _in,t ≤T _I,up (class I comfort zone);

if T _in,t ≥T _I,up (high temperature uncomfortable region);

wherein: ΔQ' _h,t Indicating the reducible heating amount formed by the user through controlling the temperature control load; deltaQ' _h,t Indicating the user to increase the heating amount by controlling the temperature control load; k=ρcv, ρ is air density in kg/m ³ Under standard conditions, 1.29kg/m ³ The method comprises the steps of carrying out a first treatment on the surface of the C is the specific heat capacity of air, J/(kg. ℃) of 1X 10 ³ J/(kg. ℃); v is the indoor air capacity in m ³ The method is obtained through actual measurement and calculation; t (T) _in,t The indoor temperature at the starting moment of the t scheduling period is given in the unit of DEG C; The indoor temperature expected by the building energy for the preset t scheduling period is expressed in terms of ℃.

Further, if the target working condition type is a cooling working condition, the algorithm formula of the building temperature control load reducible refrigerating capacity of the building temperature control load adjusting potential model corresponding to the target environment temperature range under the cooling working condition comprises the following (9), (11), (13) and (15); the algorithm formula of the building temperature control load corresponding to the target environment temperature range can increase the refrigerating capacity comprises the following (10), (12), (14) and (16);

if T _II,up ≤T _in,t ≤T _0,t (high temperature uncomfortable region);

the algorithm formula of the building temperature control load capable of reducing the refrigerating capacity is as follows:

the algorithm formula of the building temperature control load capable of increasing the refrigerating capacity is as follows:

if T _II,down ≤T _in,t ≤T _II,up (class II comfort zone);

if T _I,down ≤T _in,t ≤T _I,up (class I comfort zone);

if T _in,t ≤T _I,down (low temperature uncomfortable region);

wherein: ΔQ' _c,t Indicating the reducible refrigeration capacity formed by the user by controlling the temperature control load; deltaQ' _c,t Indicating the user to increase the refrigerating capacity by controlling the temperature control load; k=ρcv, ρ is air density in kg/m ³ Under standard conditions of 1.29kg/m ³ The method comprises the steps of carrying out a first treatment on the surface of the C is the specific heat capacity of air, J/(kg. ℃) of 1X 10 ³ J/(kg. ℃); v is the indoor air capacity in m ³ The method is obtained through actual measurement and calculation; t (T) _in,t The indoor temperature at the starting moment of the t scheduling period is given in the unit of DEG C;the indoor temperature expected by the building energy for the preset t scheduling period is expressed in terms of ℃.

Further, if the target working condition type is a cooling working condition, an expression corresponding to the building body energy model under the cooling working condition is (17):

Q _cl,t ＝k _wall F _wall (T _0,t -T _in,t )+k _win F _win (T _0,t -T _in,t )+I _t F _win S _C +Q _in,t (17)

If the target working condition type is a heating working condition, the expression corresponding to the building body energy consumption model under the heating working condition is (18):

Q _hl,t ＝k _wall F _wall (T _in,t -T _0,t )+k _win F _win (T _in,t -T _0,t )-I _t F _win S _C -Q _in,t (18)

wherein: q (Q) _in,t Is used for building indoorThe heat generation amount of the heat source corresponds to the expression (19):

Q _in,t ＝C ₁ N ₁ F _room +C ₂ N ₂ F _room +(q _xr C _xr +q _qr )nβF _room (19)

wherein: q (Q) _cl,t The energy consumption of the building body is realized under the cooling working condition; q (Q) _hl,t Energy consumption for the building body under the heating working condition; k (k) _wall F _wall (T _0,t -T _in,t ) The whole represents the cold quantity, k, transferred from the building wall to the outside _wall F _wall (T _in,t -T _0,t ) The whole represents the heat transferred from the building wall to the outside, wherein k is _wall The heat transfer coefficient of the building wall is J/(m) ² ·℃)，F _wall Is the area of the building wall body, and the unit is m ² Calculated by actual measurement, T _0,t For a predicted T schedule period outdoor temperature in degrees celsius, T _in,t The indoor temperature at the starting moment of the t scheduling period is obtained through actual measurement, wherein the unit is the temperature; k (k) _win F _win (T _0,t -T _in,t ) The whole represents the cold quantity, k, transferred to the outdoor by the building window _win F _win (T _in,t -T _0,t ) The whole represents the heat transferred from the building window to the outside, wherein k _win The heat transfer coefficient of the building window is J/(m) ² ·℃)，F _win Is the area of a building window, and the unit is m ² The method is obtained through actual measurement and calculation; i _t F _win S _C The whole represents the heat transferred from solar heat radiation into a building room, wherein I _t Is solar irradiance, S _C Is a sunshade coefficient; q (Q) _in,t The heat productivity of the indoor heat source of the building is J; c (C) ₁ For the cold load factor of the lighting device, N ₁ Heat dissipation per unit area of lighting equipment, F _room For the area of each room inside the building, C ₂ Is the cold load coefficient of other indoor electric equipment, N ₂ Heat dissipation per unit area of the device, q _xr 、q _qr Respectively sensible heat and latent heat of personnel, C _xr For sensible heat dissipation of cold loadsThe coefficient, n is the number of people per unit area, and β is the cluster coefficient.

Further, the adjustable capability of the thermal energy storage device at t schedule time period includes both an increasable energy and a decreasable energy;

the incremental energy of the thermal energy storage device is defined as the difference between the upper energy storage limit and the stored energy of the thermal energy storage device, and the corresponding energy storage device adjustable capacity model expression is as follows (20):

the reducible energy of the thermal energy storage device is defined as the difference between the stored energy of the thermal energy storage device and the lower energy storage limit, and the corresponding energy storage device adjustable capacity model expression is as follows (21):

wherein:and->The method comprises the steps of respectively enabling the heat energy storage equipment to increase energy and enable the heat energy storage equipment to decrease energy in a t scheduling period; e (E) _WSHmax And E is _WSHmin Respectively storing an upper limit value and a lower limit value of energy of the thermal energy storage equipment; e (E) _WSH,t The stored energy of the thermal energy storage device at the beginning time of the t scheduling period;

The adjustable capability of the cold energy storage device during the t schedule period includes both an increasable energy and a decreasable energy;

the incremental energy of the cold energy storage device is defined as the difference between the upper energy storage limit and the stored energy of the cold energy storage device, and the corresponding energy storage device adjustable capacity model expression is as follows (22):

the reducible energy of the cold energy storage device is defined as the difference between the stored energy of the cold energy storage device and the lower energy storage limit, and the corresponding energy storage device adjustable capacity model expression is as follows (23):

wherein:and->Scheduling an increasable energy and a decreasable energy for the cold energy storage device for a time period t; e (E) _CSmax And E is _CSmin Respectively storing an upper limit value and a lower limit value of energy of the cold energy storage equipment; e (E) _CS,t And (5) scheduling the stored energy of the cold energy storage device at the starting moment of the period t.

Further, the corresponding formulas of the building energy flexibility regulation potential indexes are (24) and (25):

in the formula: ΔW (delta W) _t An adjustable electric energy column vector for scheduling period t typical building energy, in kWh;andthe electric energy can be reduced and the electric energy can be increased for the building at the dispatching time period t under the cooling working condition, and the unit kWh is set;Andthe electric energy can be reduced and the electric energy can be increased for a building at a dispatching time period t under a heating working condition, and the unit is kWh; t (T) _cold And T _hot Respectively cooling and heating conditions;And->The energy can be reduced and the energy can be increased for the building at the scheduling period t under the cooling working condition, and the unit is J;And->The energy can be reduced and the energy can be increased for the building at the dispatching time period t under the heat supply working condition, and the unit is J;

wherein, under the condition of cooling, the building can reduce energyAnd can increase energy->The expressions of (a) are respectively formulas (26) and (27):

wherein: q (Q) _cl,t The energy consumption of the building body is scheduled in a period t under the cooling working condition; ΔQ' _c,t And DeltaQ' _c,t The building temperature control load formed by sacrificing part of comfort level for users in the scheduling period t under the cooling working condition can reduce the refrigerating capacity and increase the refrigerating capacity;and->The method comprises the steps that the reducible refrigerating capacity and the increasable refrigerating capacity are respectively formed for cold energy storage equipment of a building at the beginning moment of a scheduling period t;

under the heat supply working condition, the building can reduce energyAnd can increase energy->The expressions of (a) are respectively formulas (28) and (29):

wherein: q (Q) _hl,t The energy consumption of the building body in a dispatching period t under the heating working condition in winter is calculated; ΔQ' _h,t And DeltaQ' _h,t The heat supply quantity can be reduced and the heat supply quantity can be increased by respectively sacrificing part of the comfort level of the users in the dispatching period t under the heat supply working condition to form the building temperature control load;and->The heat energy storage devices of the building at the beginning of the scheduling period t are respectively formed with the reducible heat supply quantity and the increasable heat supply quantity.

Further, the evaluation processing is performed based on the building energy flexible adjustment potential index, and a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the power grid peak-valley difference adjustment is determined, which specifically includes:

acquiring original fixed parameter data and time-varying data which change along with a scheduling period;

judging a target working condition type corresponding to a target scheduling period, and determining a corresponding building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model according to the target working condition type; the original fixed parameter data and the time-varying data are respectively input into the corresponding building body energy consumption model, the energy storage equipment adjustable capacity model and the building temperature control load adjustment potential model to obtain building body energy consumption, building energy storage adjustment information and building temperature control load refrigeration or heating quantity adjustment information corresponding to a target scheduling period;

obtaining energy regulation information for building corresponding to a target scheduling period according to the energy consumption of the building body, the energy storage regulation information for building and the temperature control load refrigeration or heating quantity regulation information for building;

And determining a margin range evaluation result of the flexible building load which corresponds to the target scheduling period and participates in the peak-valley difference adjustment of the power grid according to the energy adjustment information for the building.

Correspondingly, the invention also provides an evaluation system based on the implementation of the flexible adjustment potential index of the building energy, which comprises:

the building energy flexible adjustment potential index determining unit is used for determining corresponding building energy flexible adjustment potential indexes according to the target working condition types; the building energy flexible regulation potential index consists of a building body energy model, an energy storage equipment adjustable capacity model and a building temperature control load regulation potential model;

and the building energy flexible adjustment evaluation processing unit is used for performing evaluation processing based on the building energy flexible adjustment potential indexes and determining a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the power grid peak-valley difference adjustment.

Wherein the target ambient temperature range includes a low temperature discomfort zone, a class II comfort zone, a class I comfort zone, and a high temperature discomfort zone;

if T _0,t ≤T _in,t ≤T _II,down (low temperature uncomfortable region);

if T _II,down ≤T _in,t ≤T _II,up (class II comfort zone);

if T _I,down ≤T _in,t ≤T _I,up (class I comfort zone);

if T _in,t ≥T _I,up (high temperature uncomfortable region);

wherein: ΔQ' _h,t Indicating the reducible heating amount formed by the user through controlling the temperature control load; deltaQ' _h,t Indicating the user to increase the heating amount by controlling the temperature control load; k=ρcv, ρ is air density in kg/m ³ Under standard conditions, 1.29kg/m ³ The method comprises the steps of carrying out a first treatment on the surface of the C is the specific heat capacity of air, J/(kg. ℃) of 1X 10 ³ J/(kg. ℃); v is the indoor air capacity in m ³ The method is obtained through actual measurement and calculation; t (T) _in,t The indoor temperature at the starting moment of the t scheduling period is given in the unit of DEG C;the expected indoor temperature for building energy for a preset t scheduling period is expressed in DEG C。

if T _II,up ≤T _in,t ≤T _0,t (high temperature uncomfortable region);

if T _II,down ≤T _in,t ≤T _II,up (class II comfort zone);

If T _I,down ≤T _in,t ≤T _I,up (class I comfort zone);

if T _in,t ≤T _,down (low temperature uncomfortable region);

Q _cl,t ＝k _wall F _wall (T _0,t -T _in,t )+k _win F _win (T _0,t -T _in,t )+I _t F _win SC+Q _in,t (17)

Wherein: q (Q) _in,t For the heating value of the indoor heat source of the building, the corresponding expression is (19):

wherein: q (Q) _cl,t The energy consumption of the building body is realized under the cooling working condition; q (Q) _hl,t Energy consumption for the building body under the heating working condition; k (k) _wall F _wall (T _0,t -T _in,t ) The whole represents the cold quantity k transferred from the building wall to the outside _wall F _wall (T _in,t -T _0,t ) The whole represents the heat transferred from the building wall to the outside, wherein k is _wall The heat transfer coefficient of the building wall is J/(m) ² ·℃)，F _wall Is the area of the building wall body, and the unit is m ² Calculated by actual measurement, T _0,t For a predicted T schedule period outdoor temperature in degrees celsius, T _in,t The indoor temperature at the starting moment of the t scheduling period is obtained through actual measurement, wherein the unit is the temperature; k (k) _win F _win (T _0,t -T _in,t ) The whole represents the cold quantity, k, transferred to the outdoor by the building window _win F _win (T _in,t -T _0,t ) The whole represents the heat transferred from the building window to the outside, wherein k _win The heat transfer coefficient of the building window is J/(m) ² ·℃)，F _win Is the area of a building window, and the unit is m ² The method is obtained through actual measurement and calculation; i _t F _win S _C The whole represents the heat transferred from solar heat radiation into a building room, wherein I _t Is solar irradiance, S _C Is a sunshade coefficient; q (Q) _in,t The heat productivity of the indoor heat source of the building is J; c (C) ₁ For the cold load factor of the lighting device, N ₁ Heat dissipation per unit area of lighting equipment, F _room For the area of each room inside the building, C ₂ Is the cold load coefficient of other indoor electric equipment, N ₂ Heat dissipation per unit area of the device, q _xr 、q _qr Respectively sensible heat and latent heat of personnel, C _xr The sensible heat and cooling load coefficient is represented by n, the number of people in a unit area, and the cluster coefficient is represented by beta.

wherein:and->Scheduling an increasable energy and a decreasable energy for the cold energy storage device for a time period t; e (E) _CSmax And E is _CSmin Respectively storing an upper limit value and a lower limit value of energy of the cold energy storage equipment; e (E) _CS,t And (5) scheduling the stored energy of the cold energy storage device at the starting moment of the period t. />

wherein, under the condition of cooling, the building can reduce energy And can increase energy->The expressions of (a) are respectively formulas (26) and (27):

The invention also provides electronic equipment, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the evaluation method based on the flexible adjustment potential index of the building energy according to any one of the above programs when executing the program.

The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of assessing a building energy compliance adjustment potential indicator based on any of the above.

By adopting the evaluation method based on the flexible regulation potential index of the building energy, the energy consumption characteristic of the building body and the capacity of the temperature control flexible load in the building to participate in the peak-valley difference regulation of the power grid can be fully exerted, and the efficiency and the stability of the building energy to participate in the peak-valley difference regulation of the power grid can be effectively improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will briefly describe the drawings that are required to be used in the embodiments or the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without any inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of an evaluation method based on a flexible adjustment potential index for building energy according to an embodiment of the present invention;

FIG. 2 is a complete flow diagram of an evaluation method based on a flexible adjustment potential index for building energy according to an embodiment of the present invention;

FIG. 3 is a schematic diagram illustrating the division of indoor temperature comfort zones under a cooling condition according to an embodiment of the present invention;

FIG. 4 is a schematic diagram illustrating the division of indoor temperature comfort zones under a heating condition according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of an evaluation system based on implementation of a flexible adjustment potential index for architecture according to an embodiment of the present invention;

fig. 6 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which are derived by a person skilled in the art from the embodiments according to the invention without creative efforts, fall within the protection scope of the invention.

The following describes embodiments thereof in detail based on the evaluation method based on the building energy flexibility adjustment potential index according to the present invention. Fig. 1 is a schematic flow chart of an evaluation method based on a flexible adjustment potential index for building energy, which is provided by the embodiment of the invention, and the specific process includes the following steps:

Step 101: determining corresponding flexible adjustment potential indexes of the building energy according to the target working condition type; the building energy flexible regulation potential index consists of a building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load regulation potential model.

In the embodiment of the invention, the building energy flexible adjustment potential index under the cold supply working condition and the heat supply working condition is provided, and the building energy flexible adjustment potential evaluation index which consists of the building energy consisting of the energy which can be increased and the energy which can be reduced in the next adjustment period is established by combining the building energy consumption model, the energy storage equipment adjustable capacity model (comprising the cold energy storage adjustable capacity model and the hot energy storage adjustable capacity model which are matched with the temperature control equipment) and the building temperature control load adjustment potential model formed by sacrificing part comfort level of a user.

Furthermore, in the embodiment of the invention, a calculation flow of the flexible adjustment potential index for the building is formulated so as to quantitatively evaluate the margin range of the flexible load of the building for the peak-valley difference adjustment of the regional power grid, thereby laying a foundation for the flexible load of the building for the peak-valley difference adjustment of the power grid. The calculation flow of the flexible adjustment potential index for the building specifically comprises the following contents:

Specifically, the flexible adjustment potential index of the building energy is defined as an adjustable margin range when the whole building is used as a flexible load to participate in peak-valley difference adjustment of the power grid, and the flexible adjustment potential index is formed by the fact that the building energy can reduce electric energy and increase electric energy in the next scheduling period. Therefore, the flexible regulation potential evaluation indexes of the building energy under the cold supply working condition and the heat supply working condition are defined as follows:

wherein: ΔW (delta W) _t The adjustable electric energy column vector of typical building energy for t scheduling time period is also the to-be-solved variable (namely the building energy flexible adjustment potential evaluation result) of the invention, and the unit is kWh;and->The energy can be reduced and the energy can be increased for the building at the t scheduling period under the cooling working condition in summer, and the unit is kWh;And->The electric energy can be reduced and the electric energy can be increased for the building at the t scheduling period under the heating working condition in winter, and the unit is kWh; t (T) _cold And T _hot The working conditions are a summer cooling working condition and a winter heating working condition respectively;And->Building energy which can be reduced and energy which can be increased (namely building energy regulation information under the cooling working condition) are respectively built for t scheduling periods under the cooling working condition in summer, and the unit is J;And->Building reducible energy and increasable energy (i.e. the building energy adjustment information under heating conditions) for t scheduling periods under heating conditions in winter, respectively, unit J. It should be noted that, in the embodiment of the present invention, the determining factors of the flexible adjustment potential for building mainly consider three parts: the influence caused by the energy consumption characteristics of the building, such as building enclosure structures of building walls, windows and the like, the influence of solar radiation on building heat supplement or heat dissipation, various indoor heat sources of the building and the like; the influence of cold/hot energy storage used together with the building temperature control equipment; and the effect of the user sacrificing part of the comfort-forming building temperature-controlled load regulation potential.

Under the working condition of cooling in summer, the building can reduce energyAnd can increase energy->The expressions of (2) are respectively:

wherein: q (Q) _cl,t Building body energy consumption at t scheduling time intervals under the cooling working condition in summer; ΔQ' _c,t And DeltaQ' _c,t The building temperature control load formed by sacrificing part of comfort level for users in t scheduling period under the cooling working condition can reduce the refrigerating capacity and can increase the refrigerating capacity (namely the building energy storage adjusting information under the cooling working condition);and->The method comprises the steps of respectively forming reducible refrigerating capacity and increasable refrigerating capacity for cold energy storage equipment of a building at the starting moment of a t scheduling period (namely building temperature control load refrigerating capacity adjusting information obtained by a building temperature control load adjusting potential model of a corresponding type temperature comfort zone under a target working condition type under a cooling working condition).

Under the heating condition in winter, the energy of the building can be reducedAnd can increase energy->The expressions of (2) are respectively:

wherein: q (Q) _hl,t Building body energy consumption at t scheduling time intervals under a winter heating working condition; ΔQ' _h,t And DeltaQ' _h,t Building temperature control loads formed by sacrificing part of comfort level for users in t scheduling period under heat supply working condition respectively can reduce heat supply quantity and can increase heat supply quantity (i.e. in heat supply working condition)Building energy storage regulation information under the condition);and->The heat energy storage devices of the buildings at the starting moment of the t scheduling period respectively form reducible heat supply quantity and increasable heat supply quantity (namely building temperature control load heat control quantity adjusting information obtained by a building temperature control load adjusting potential model of the corresponding type of temperature comfort zone under the target working condition type under the heat supply working condition).

The following describes three models respectively for constructing the flexible adjustment potential index for the building.

And adjusting the potential model aiming at the building temperature control load. When the building energy flexibility adjustment evaluation is carried out, firstly, the user needs to be ensured to be in a comfortable temperature condition for adjustment, and a range exists in a temperature comfort zone of the user. When the load of the power grid side is in the peak period, the power grid side hopes that a user properly reduces the power consumption to cut off the peak of the power consumption, so that the user can properly sacrifice some comfort level at the moment and reduce the power consumption, thereby reducing the load of the peak period of the power grid side; when the load of the power grid side is in the valley period, the power grid side hopes that a user properly improves the power consumption to fill the power consumption valley, so that the user can adjust the indoor temperature to the optimal temperature comfort zone, and the load of the power grid side valley period is improved. Therefore, a range limit for the ambient temperature in which the user is located must be given. Such as determining indoor comfort environment standard parameters as shown in table 1.

Table 1 indoor comfort environmental standard parameters

As can be seen from Table 1, the indoor comfort environment parameters are divided into two types, namely, heating and cooling conditions. The indoor comfort level is divided into two stages under a heating working condition and a cooling working condition respectively, the I-stage comfort level temperature is higher than the II-stage temperature comfort zone under the heating working condition, the I-stage comfort level temperature is lower than the II-stage temperature comfort zone under the cooling working condition, and a corresponding relative humidity range and a corresponding wind speed range are arranged under each comfort level.

Because the design parameters of the indoor comfortable environment are divided into a heat supply working condition and a cold supply working condition, the building temperature control load adjusting potential is developed aiming at the two scenes of the cold supply working condition and the heat supply condition respectively.

(1) Building temperature control load adjusting potential under cooling working condition

In the embodiment of the invention, considering actual situations, the indoor temperature in summer is difficult to always be within the range of the class I or class II temperature comfort interval in the design specification, the temperature interval of which the indoor temperature is lower than the class I temperature comfort interval is called as a low temperature uncomfortable area, and the temperature interval of which the indoor temperature is higher than the class II temperature comfort interval is called as a high temperature uncomfortable area. Thus, the room temperature comfort zone in the cold supply condition is as shown in FIG. 3 below.

In each temperature range divided under the cooling working condition, the building energy has corresponding increased refrigerating capacity and reduced refrigerating capacity. From the foregoing, the building can increase and decrease the refrigerating capacity, which is respectively the building energy consumption in summer, i.e. Q _cl,t The building cold energy storage device can increase the refrigerating capacity and reduce the refrigerating capacity, and the user can control the temperature control load to form the increasing refrigerating capacity and the reducing refrigerating capacity. The invention uses DeltaQ' _c,t Indicating the user's reducible cooling capacity by controlling the temperature-controlled load, with DeltaQ' _c,t Indicating the user's incremental cooling capacity by controlling the temperature-controlled load. The following describes the incremental and decremental refrigeration of the building temperature controlled load in different temperature ranges, respectively.

Specifically, the algorithm formula of the building temperature control load adjustable heating capacity of the building temperature control load adjustment potential model corresponding to the target environment temperature range comprises the following (1), (3), (5) and (7); the algorithm formulas for increasing the heating capacity of the building temperature control load corresponding to the target environment temperature range comprise the following (2), (4), (6) and (8). Wherein the target ambient temperature range includes a low temperature discomfort zone, a class II comfort zone, a class I comfort zone, and a high temperature discomfort zone. When the target working condition type is a heating working condition, the building temperature control load adjustment potential model of the corresponding type temperature comfort zone comprises a building temperature control load adjustment potential model corresponding to the I-level temperature comfort zone, a building temperature control load adjustment potential model corresponding to the II-level temperature comfort zone, a building temperature control load adjustment potential model corresponding to the low-temperature uncomfortable zone and a building temperature control load adjustment potential model corresponding to the high-temperature uncomfortable zone under the heating working condition type.

If T _0,t ≤T _in,t ≤T _II,down (low temperature uncomfortable region);

if T _II,down ≤T _in,t ≤T _II,up (class II comfort zone);

if T _I,down ≤T _in,t ≤T _I,up (class I comfort zone);

if T _in,t ≥T _I,up (high temperature uncomfortable region);

wherein: ΔQ' _h,t Indicating the reducible heating amount formed by the user through controlling the temperature control load; deltaQ' _h,t Indicating the user to increase the heating amount by controlling the temperature control load; k=ρcv, ρ is air density in kg/m ³ Under standard conditions, 1.29kg/m ³ The method comprises the steps of carrying out a first treatment on the surface of the C is the specific heat capacity of air, J/(kg. ℃) of 1X 10 ³ J/(kg. ℃); v is the indoor air capacity in m ³ The method is obtained through actual measurement and calculation; t (T) _in,t The indoor temperature at the starting moment of the t scheduling period is given in the unit of DEG C; Building energy expected indoor temperature for preset t scheduling period, singleThe bits are in degrees Celsius.

The building temperature control load adjusting potential under the heating working condition is similar to that of the cooling condition, a temperature interval in which the indoor temperature is lower than the II-level comfortable temperature is called a low-temperature uncomfortable area, an interval in which the indoor temperature is higher than the I-level comfortable temperature is called a high-temperature uncomfortable area, and the indoor temperature comfortable area under the heating working condition is divided into the following parts as shown in the figure 4.

The invention uses DeltaQ' _h,t Indicating the amount of heating which can be reduced by the user by controlling the temperature-controlled load, with DeltaQ' _h,t Indicating the amount of heating that the user can create by controlling the temperature-controlled load. The following describes the amount of heating that can be increased and the amount of heating that can be reduced for the building temperature control load in different temperature intervals, respectively.

Specifically, the algorithm formula of the building temperature control load adjustable refrigerating capacity of the building temperature control load adjusting potential model corresponding to the target environment temperature range comprises the following (9), (11), (13) and (15); the algorithm formulas for increasing the refrigerating capacity of the building temperature control load corresponding to the target environment temperature range comprise the following (10), (12), (14) and (16). Wherein the target ambient temperature range includes a low temperature discomfort zone, a class II comfort zone, a class I comfort zone, and a high temperature discomfort zone. When the target working condition type is a cooling working condition, the building temperature control load adjustment potential model of the corresponding type temperature comfort zone comprises a building temperature control load adjustment potential model corresponding to the I-level comfort zone, a building temperature control load adjustment potential model corresponding to the II-level comfort zone, a building temperature control load adjustment potential model corresponding to the low-temperature uncomfortable zone and a building temperature control load adjustment potential model corresponding to the high-temperature uncomfortable zone under the cooling working condition type.

If T _II,up ≤T _in,t ≤T _0,t (high temperature uncomfortable region);

if T _II,down ≤T _in,t ≤T _II,up (class II comfort zone);

if T _I,down ≤T _in,t ≤T _I,up (class I comfort zone);

if T _in,t ≤T _I,down (low temperature uncomfortable region);

wherein: ΔQ' _c,t Indicating the reducible refrigeration capacity formed by the user by controlling the temperature control load; deltaQ' _c,t Indicating the user to increase the refrigerating capacity by controlling the temperature control load; k=ρcv, ρ is air density in kg/m ³ Under standard conditions of 1.29kg/m ³ The method comprises the steps of carrying out a first treatment on the surface of the C is the specific heat capacity of air, J/(kg. ℃) of 1X 10 ³ J/(kg. ℃); v is the indoor air capacity in m ³ The method is obtained through actual measurement and calculation; t (T) _in,t The indoor temperature at the starting moment of the t scheduling period is given in the unit of DEG C; The indoor temperature expected by the building energy for the preset t scheduling period is expressed in terms of ℃.

Aiming at the building body energy consumption model, under the working condition of cooling in summer and the working condition of heating in winter, the energy directions of the building flowing through the wall body, the window and other ways are different due to the difference of indoor and outdoor temperatures of the building, so that the building body energy consumption model is respectively developed and described under the working condition of cooling in summer and the working condition of heating in winter.

Aiming at the building body energy consumption model under the cooling working condition in summer. Under the working condition of cooling in summer, the energy consumption of the building is determined by the comprehensive influence of the cooling capacity dissipated by the outer wall and the window of the building, the solar radiation heat supplement and the indoor heat source heat dissipation on the interior of the building, and the corresponding expression of the building body energy consumption model is (17), namely the energy consumption Q of the building body at the moment _cl,t The expression (17) is satisfied:

wherein: q (Q) _cl,t The energy consumption of the building body is realized under the cooling working condition; q (Q) _hl,t Energy consumption for the building body under the heating working condition; k (k) _wall F _wall (T _0,t -T _in,t ) The whole represents the cold quantity, k, transferred from the building wall to the outside _wall F _wall (T _in,t -T _0,t ) The whole represents the heat transferred from the building wall to the outside, wherein k is _wall The heat transfer coefficient of the building wall is J/(m) ² ·℃)，F _wall Is the area of the building wall body, and the unit is m ² Calculated by actual measurement, T _0,t For a predicted T schedule period outdoor temperature in degrees celsius, T _in,t The indoor temperature at the starting moment of the t scheduling period is obtained through actual measurement, wherein the unit is the temperature; k (k) _win F _win (T _0,t -T _in,t ) The whole represents the cold quantity, k, transferred to the outdoor by the building window _win F _win (T _in,t -T _0,t ) The whole represents the heat transferred from the building window to the outside, wherein k _win The heat transfer coefficient of the building window is J/(m) ² ·℃)，F _win Is the area of a building window, and the unit is m ² The method is obtained through actual measurement and calculation; i _t F _win S _C The whole represents the heat transferred from solar heat radiation into a building room, wherein I _t Is solar irradiance, S _C Is a sunshade coefficient; q (Q) _in,t The heat productivity of the indoor heat source of the building is J;C ₁ for the cold load factor of the lighting device, N ₁ Heat dissipation per unit area of lighting equipment, F _room For the area of each room inside the building, C ₂ Is the cold load coefficient of other indoor electric equipment, N ₂ Heat dissipation per unit area of the device, q _xr 、q _qr Respectively sensible heat and latent heat of personnel, C _xr The sensible heat and cooling load coefficient is represented by n, the number of people in a unit area, and the cluster coefficient is represented by beta.

The outdoor temperature is usually the temperature reported by weather forecast, namely the dry bulb temperature of the environment. However, the factors such as relative humidity and wind speed have a certain influence on the somatosensory temperature of the human body, for example, the relative humidity exceeds the comfortable relative humidity range of people, the human body can feel damp and hot, and the somatosensory temperature of the human body can not be truly reflected only by the dry bulb temperature of the environment, so for the accuracy of calculation, Q is defined _cl,t Outdoor temperature T for intermediate use _0,t To take into account the outdoor temperature after relative humidity. Outdoor temperature T after considering relative humidity _0,t The calculation formula of (2) is as follows:

T _0,t ＝-42.379+2.04901523T+10.14333127RH-0.22475541TRH-6.83783*10 ^-3 T ² -5.481717*10 ^-2 RH ² +1.22874*10 ^-3 T ² RH+8.5282*10 ^-4 TRH ² -1.99*10 ^-6 T ² RH ²

wherein: t is the dry bulb temperature of the environment, and can be obtained through weather forecast; RH is the relative humidity in percent, which can be obtained from weather forecast.

Similar to the building body energy consumption model under the working condition of cooling in summer, under the working condition of heating in winter, the building energy consumption is determined by the comprehensive influence of the heat dissipation of the building outer wall and window, the solar radiation heat supplement and the indoor heat source heat dissipation on the inside of the building, and at the moment, the building body energy consumption Q _hl,t The expression satisfied is (18).

The energy storage device adjustability model includes the adjustability of the cold energy storage device and the adjustability of the hot energy storage device.

Under the cooling working condition, the air-conditioning refrigeration equipment is usually matched with cold energy storage equipment (such as ice storage), part of the cold energy is stored in the electricity price valley period, and the cold energy is provided for the building under the condition that the electricity price peak period or the building needs the cold energy, so that the aim of reducing the refrigerating cost of a user as much as possible is fulfilled. The adjustable capability of the cold energy storage device matched with the adjustable capability comprises the energy which can be increased and the energy which can be reduced in t scheduling period; the incremental energy of the cold energy storage device is defined as the difference between the upper energy storage limit and the stored energy of the cold energy storage device, and the corresponding energy storage device adjustable capacity model expression is as follows (22):

wherein:and->Scheduling an increasable energy and a decreasable energy for the cold energy storage device for a time period t; e (E) _CSmax And E is _CSmin Respectively storing an upper limit value and a lower limit value of energy of the cold energy storage equipment; e (E) _CS,t And (5) scheduling the stored energy of the cold energy storage device for t time periods.

Similar to cold energy storage equipment, under a heating condition, when surplus heat exists in a building, the heat energy storage equipment (such as a heat storage water tank, phase change heat storage and the like) can be utilized to temporarily store the heat energy, and the heat energy can be released when needed. The adjustable capability of the thermal energy storage device during the t-schedule period includes an increasable energy defined as a difference between an upper stored energy limit and a lower stored energy limit of the thermal energy storage device and a decreasable energy of the thermal energy storage device defined as a difference between the upper stored energy limit and the lower stored energy limit of the thermal energy storage device. The expression is as follows:

Wherein:and->Scheduling an increasable energy and a decreasable energy for the thermal energy storage device for a time period t; e (E) _WSHmax And E is _WSHmin Respectively storing an upper limit value and a lower limit value of energy of the thermal energy storage equipment; e (E) _WSH,t And (5) scheduling the stored energy of the thermal energy storage device for t time periods.

Step 102: and carrying out evaluation processing based on the building energy flexible adjustment potential indexes, and determining a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the peak-valley difference adjustment of the power grid.

As shown in fig. 2, the evaluation method includes the following steps: (1) acquiring original fixed parameter data. The original fixed parameter data comprise fixed parameters of building enclosures such as building walls and window enclosures, fixed parameters of heat conduction in buildings such as indoor air density, specific heat capacity and various thermal coefficients, and fixed parameters of building energy storage equipment such as upper and lower limit values of energy storage of building cold energy storage equipment and heat energy storage equipment. (2) Input time-varying data that varies with the scheduling period is acquired. The time-varying data includes: at the current moment (i.e. the starting moment of T scheduling period), cold and hot energy storage, hot energy storage and indoor temperature T _in,t Waiting for target measurement data; environmental prediction data such as building outdoor temperature, humidity, solar radiation and the like in a t scheduling period obtained by weather forecast; to be used for And preset indoor temperature data expected by building energy in t scheduling periodJudging whether the target working condition type corresponding to the target scheduling period (such as the current scheduling period) is a cooling working condition or a heating working condition, if the target working condition type is the cooling working condition, performing the next step (4), and if the target working condition type is the heating working condition, jumping to the step (5). (4) If the scheduling period corresponds to the cooling working condition, obtaining the energy consumption of the building body in the t scheduling period through a building body energy consumption model under the cooling working condition; solving the building cold energy storage adjustable capacity in the t scheduling period through a cold energy storage equipment adjustable capacity model; and building energy expectations indoor temperature according to a preset t scheduling period +.>Various temperature comfort areas such as high temperature/II level/I level/low temperature and the like under the cooling working condition, and indoor temperature T at the current moment _in,t Substituting the temperature control adjustment potential models of the corresponding type of comfort areas under the corresponding cold supply working conditions into the various temperature comfort areas such as high temperature/II level/I level/low temperature, and obtaining the temperature control load refrigerating capacity adjustment information of the building in the t scheduling period (the temperature control load of the building can be increased and the refrigerating capacity can be reduced); and then summing the three parts to obtain the energy which can be increased and reduced by the building in the t scheduling period under the cooling working condition, and then jumping to the step (6). (5) If the scheduling period is a heat supply working condition, solving the energy consumption of the building body in the t scheduling period through a building body energy consumption model under the heat supply working condition; solving the building thermal energy storage adjustable capacity in the t scheduling period through a thermal energy storage equipment adjustable capacity model; and building energy expectations indoor temperature according to a preset t scheduling period +. >Various temperature comfort areas such as high temperature/I level/II level/low temperature and the like under the heating working condition, and indoor temperature T at the current moment _in,t The temperature control and adjustment of the corresponding type of temperature comfort zone under the corresponding heat supply working condition are substituted into the various temperature comfort zones such as high temperature/I level/II level/low temperatureThe energy saving potential model is used for obtaining the building temperature control load heating quantity adjusting information (the building temperature control load can be increased and the refrigerating capacity can be reduced) in the t scheduling period; and then the three parts are summed to obtain the building which can be increased and the energy can be reduced in the t scheduling period under the heating working condition. (6) The energy can be increased and reduced by the building in the t scheduling period under the cooling working condition, or the building in the t scheduling period under the heating working condition, namely the energy can be increased and reduced, namely the energy adjustment electric energy information of the building energy corresponding to the scheduling period, so as to obtain the energy adjustment electric energy train vector delta W of the building energy in the t scheduling period _t And the evaluation of the margin range of the flexible load of the building participating in the peak-valley difference adjustment of the power grid in the next adjustment period (t adjustment period) is completed, and the corresponding evaluation result of the flexible adjustment potential of the building energy is determined.

By adopting the evaluation method based on the flexible regulation potential index for the building energy, the energy consumption characteristic of the building body and the capacity of the temperature control flexible load in the building to participate in the regulation of the peak-valley difference of the power grid can be fully exerted, and the efficiency and the stability of the building energy to participate in the regulation of the peak-valley difference of the power grid side can be effectively improved.

Corresponding to the evaluation method based on the building energy flexible adjustment potential index, the invention also provides an evaluation system based on the building energy flexible adjustment potential index. Since the embodiments of the system are similar to the method embodiments described above, the description is relatively simple, and reference should be made to the description of the method embodiments section described above, and the embodiments of the evaluation system based on the implementation of the architectural flexibility adjustment potential indicators described below are merely illustrative. Fig. 5 is a schematic structural diagram of an evaluation system based on implementation of a flexible adjustment potential index for building according to an embodiment of the present invention. The invention relates to an evaluation system based on flexible regulation potential index realization of building energy, which comprises the following parts:

the building energy flexible adjustment potential index determining unit 501 is used for determining corresponding building energy flexible adjustment potential indexes according to the target working condition type; the building energy flexible regulation potential index consists of a building body energy model, an energy storage equipment adjustable capacity model and a building temperature control load regulation potential model;

and the building energy flexibility adjustment evaluation processing unit 502 is used for performing evaluation processing based on the building energy flexibility adjustment potential indexes, and determining a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the power grid peak-valley difference adjustment.

By adopting the evaluation system based on the flexible regulation potential index for building, the energy consumption characteristic of the building body and the capacity of the temperature control flexible load in the building to participate in the regulation and control of the peak-valley difference of the power grid can be fully exerted, and the regulation efficiency and stability of the building energy to participate in the peak-valley difference of the power grid can be effectively improved.

Corresponding to the evaluation method based on the building energy flexibility adjustment potential index, the invention further provides electronic equipment. Since the embodiments of the electronic device are similar to the method embodiments described above, the description is relatively simple, and reference should be made to the description of the method embodiments described above, and the electronic device described below is merely illustrative. Fig. 6 is a schematic diagram of the physical structure of an electronic device according to an embodiment of the present invention. The electronic device may include: a processor (processor) 601, a memory (memory) 602, and a communication bus 603, wherein the processor 601, the memory 602, and the communication bus 603 are in communication with each other. The processor 601 may invoke logic instructions in the memory 602 to perform a method of evaluating based on a building energy flexibility adjustment potential indicator, the method comprising: determining corresponding flexible adjustment potential indexes of the building energy according to the target working condition type; the building energy flexible regulation potential index consists of a building body energy model, an energy storage equipment adjustable capacity model and a building temperature control load regulation potential model; and carrying out evaluation processing based on the building energy flexible adjustment potential indexes, and determining a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the peak-valley difference adjustment of the power grid.

Further, the logic instructions in the memory 602 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

In another aspect, embodiments of the present invention further provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method for evaluating a building energy flexibility adjustment potential index provided by the above method embodiments, the method comprising: determining corresponding flexible adjustment potential indexes of the building energy according to the target working condition type; the building energy flexible regulation potential index consists of a building body energy model, an energy storage equipment adjustable capacity model and a building temperature control load regulation potential model; and carrying out evaluation processing based on the building energy flexible adjustment potential indexes, and determining a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the peak-valley difference adjustment of the power grid.

In yet another aspect, embodiments of the present invention further provide a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, is implemented to perform the method for evaluating a building energy flexibility adjustment potential index provided in the above embodiments, the method comprising: determining corresponding flexible adjustment potential indexes of the building energy according to the target working condition type; the building energy flexible regulation potential index consists of a building body energy model, an energy storage equipment adjustable capacity model and a building temperature control load regulation potential model; and carrying out evaluation processing based on the building energy flexible adjustment potential indexes, and determining a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the peak-valley difference adjustment of the power grid.

The system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An evaluation method based on a building energy flexibility regulation potential index is characterized by comprising the following steps:

if the target working condition type is a heating working condition, the algorithm formula of the building temperature control load which corresponds to the target environment temperature range and can reduce the heating capacity of the building temperature control load adjustment potential model under the heating working condition comprises the following (1), (3), (5) and (7); the algorithm formula of the building temperature control load corresponding to the target environment temperature range capable of increasing the heating capacity comprises the following (2), (4), (6) and (8);

if T _0,t ≤T _in,t ≤T _ΙΙ,down (low temperature uncomfortable region);

if T _ΙΙ,down ≤T _in,t ≤T _ΙΙ,up Level I comfort zone;

if T _Ι,down ≤T _in,t ≤T _Ι,up Level I comfort zone);

if T _in,t ≥T _Ι,up (high temperature uncomfortable region);

wherein: ΔQ' _h,t Indicating the reducible heating amount formed by the user through controlling the temperature control load; deltaQ' _h,t Indicating the user to increase the heating amount by controlling the temperature control load; k=ρcv, ρ is air density in kg/m ³ Under standard conditions, 1.29kg/m ³ The method comprises the steps of carrying out a first treatment on the surface of the C is the specific heat capacity of air, J/(kg. ℃) of 1X 10 ³ J/(kg. ℃); v is the indoor air capacity in m ³ The method is obtained through actual measurement and calculation; t (T) _in,t The indoor temperature at the starting moment of the t scheduling period is given in the unit of DEG C;the indoor temperature expected by building energy for a preset t scheduling period is given in the unit of DEG C;

if the target working condition type is a cooling working condition, the algorithm formula of the building temperature control load reducible refrigerating capacity of the building temperature control load adjusting potential model corresponding to the target environment temperature range under the cooling working condition comprises the following (9), (11), (13) and (15); the algorithm formula of the building temperature control load corresponding to the target environment temperature range can increase the refrigerating capacity comprises the following (10), (12), (14) and (16);

Wherein the target ambient temperature range includes a high temperature discomfort zone, a class II comfort zone, a class I comfort zone, and a low temperature discomfort zone;

if T _ΙΙ,up ≤T _in,t ≤T _0,t (high temperature uncomfortable region);

if T _ΙΙ,down ≤T _in,t ≤T _ΙΙ,up Level I comfort zone;

if T _Ι,down ≤T _in,t ≤T _Ι,up Level I comfort zone);

if T _in,t ≤T _Ι,down (low temperature uncomfortable region);

wherein: ΔQ' _c,t Indicating the reducible refrigeration capacity formed by the user by controlling the temperature control load; deltaQ' _c,t Indicating the user to increase the refrigerating capacity by controlling the temperature control load; k=ρcv, ρ is the air density,in kg/m ³ Under standard conditions of 1.29kg/m ³ The method comprises the steps of carrying out a first treatment on the surface of the C is the specific heat capacity of air, J/(kg. ℃) of 1X 10 ³ J/(kg. ℃); v is the indoor air capacity in m ³ The method is obtained through actual measurement and calculation; t (T) _in,t The indoor temperature at the starting moment of the t scheduling period is given in the unit of DEG C; t (T) _in T0 is the expected indoor temperature of building energy in the preset t scheduling period, and the unit is the temperature;

if the target working condition type is a cooling working condition, the expression corresponding to the building body energy consumption model under the cooling working condition is (17):

wherein: q (Q) _cl,t The energy consumption of the building body is realized under the cooling working condition; q (Q) _hl,t Energy consumption for the building body under the heating working condition; k (k) _wall F _wall (T _0,t -T _in,t ) The whole represents the cold quantity, k, transferred from the building wall to the outside _wall F _wall (T _in,t -T _0,t ) The whole represents the heat transferred from the building wall to the outside, wherein k is _wall The heat transfer coefficient of the building wall is expressed as J/(squaremeter with the temperature) and F _wall Is the area of the building wall body, and the unit is m ² Calculated by actual measurement, T _0,t For a predicted T schedule period outdoor temperature in degrees celsius, T _in,t The indoor temperature at the starting moment of the t scheduling period is obtained through actual measurement, wherein the unit is the temperature; k (k) _win F _win (T _0,t -T _in,t ) The whole represents the cold quantity, k, transferred to the outdoor by the building window _win F _win (T _in,t -T _0,t ) The whole represents the heat transferred from the building window to the outside, wherein k _win The heat transfer coefficient of the building window is expressed as J/(squaremeters with the temperature) and F _win Is the area of a building window, and the unit is m ² The method is obtained through actual measurement and calculation; i _t F _win S _C The whole represents the heat transferred from solar heat radiation into a building room, wherein I _t Is solar irradiance, S _C Is a sunshade coefficient; q (Q) _in,t The heat productivity of the indoor heat source of the building is J; c (C) ₁ For the cold load factor of the lighting device, N ₁ Heat dissipation per unit area of lighting equipment, F _room For the area of each room inside the building, C ₂ Is the cold load coefficient of other indoor electric equipment, N ₂ Heat dissipation per unit area of the device, q _xr 、q _qr Respectively sensible heat and latent heat of personnel, C _xr The sensible heat and cooling load coefficient is n, the number of people in a unit area, and beta is a cluster coefficient;

the adjustable capability of the thermal energy storage device during the t schedule period includes an increasable energy and a decreasable energy;

wherein:and->Scheduling an increasable energy and a decreasable energy for the cold energy storage device for a time period t; e (E) _CSmax And E is _CSmin Respectively storing an upper limit value and a lower limit value of energy of the cold energy storage equipment; e (E) _CS,t The stored energy of the cold energy storage device at the beginning time of the t scheduling period is stored;

the corresponding formulas of the building energy flexibility regulation potential indexes are (24) and (25):

in the formula: ΔW (delta W) _t An adjustable electric energy column vector for scheduling period t typical building energy, in kWh; And->The electric energy can be reduced and the electric energy can be increased for the building at the dispatching time period t under the cooling working condition, and the unit kWh is set;And->The electric energy can be reduced and the electric energy can be increased for a building at a dispatching time period t under a heating working condition, and the unit is kWh; t (T) _cold And T _hot Respectively cooling and heating conditions;And->The energy can be reduced and the energy can be increased for the building at the scheduling period t under the cooling working condition, and the unit is J;And->The energy can be reduced and the energy can be increased for the building at the dispatching time period t under the heat supply working condition, and the unit is J;

wherein: q (Q) _cl,t The energy consumption of the building body is scheduled in a period t under the cooling working condition; ΔQ' _c,t And DeltaQ' _c,t The building temperature control load formed by sacrificing part of comfort level for users in the scheduling period t under the cooling working condition can reduce the refrigerating capacity and increase the refrigerating capacity;and->Cold storage for buildings at starting time of scheduling period tThe device can reduce the refrigerating capacity and increase the refrigerating capacity;

wherein: q (Q) _hl,t The energy consumption of the building body in a dispatching period t under the heating working condition in winter is calculated; ΔQ' _h,t And DeltaQ' _h,t The heat supply quantity can be reduced and the heat supply quantity can be increased by respectively sacrificing part of the comfort level of the users in the dispatching period t under the heat supply working condition to form the building temperature control load;and->The heat energy storage equipment of the building at the beginning moment of the scheduling period t is respectively formed with reducible heat supply quantity and increasable heat supply quantity;

performing evaluation processing based on the building energy flexibility adjustment potential indexes, and determining a margin range evaluation result of the building flexibility load which corresponds to the target scheduling period and participates in the peak-valley difference adjustment of the power grid; the evaluation processing is performed based on the building energy flexible adjustment potential index, and a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the power grid peak-valley difference adjustment is determined, which specifically comprises the following steps: acquiring original fixed parameter data and time-varying data which change along with a scheduling period; judging a target working condition type corresponding to a target scheduling period, and determining a corresponding building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model according to the target working condition type; the original fixed parameter data and the time-varying data are respectively input into the corresponding building body energy consumption model, the energy storage equipment adjustable capacity model and the building temperature control load adjustment potential model to obtain building body energy consumption, building energy storage adjustment information and building temperature control load refrigeration or heating quantity adjustment information corresponding to a target scheduling period; obtaining energy regulation information for building corresponding to a target scheduling period according to the energy consumption of the building body, the energy storage regulation information for building and the temperature control load refrigeration or heating quantity regulation information for building; and determining a margin range evaluation result of the flexible building load which corresponds to the target scheduling period and participates in the peak-valley difference adjustment of the power grid according to the energy adjustment information for the building.

2. An evaluation system based on implementation of a flexible regulation potential index for a building, comprising:

if T _0,t ≤T _in,t ≤T _ΙΙ,down (low temperature uncomfortable region);

If T _ΙΙ,down ≤T _in,t ≤T _ΙΙ,up Level I comfort zone;

if T _Ι,down ≤T _in,t ≤T _Ι,up Level I comfort zone);

if T _in,t ≥T _Ι,up (high temperature uncomfortable region);

if T _ΙΙ,up ≤T _in,t ≤T _0,t (high temperature uncomfortable region);

if T _ΙΙ,down ≤T _in,t ≤T _ΙΙ,up Level I comfort zone;

if T _Ι,down ≤T _in,t ≤T _Ι,up Level I comfort zone);

if T _in,t ≤T _Ι,down (low temperature uncomfortable region);

wherein: ΔQ' _c,t Indicating the reducible refrigeration capacity formed by the user by controlling the temperature control load; deltaQ' _c,t Indicating the user to increase the refrigerating capacity by controlling the temperature control load; k=ρcv, ρ is air density in kg/m ³ Under standard conditions of 1.29kg/m ³ The method comprises the steps of carrying out a first treatment on the surface of the C is the specific heat capacity of air, J/(kg. ℃) of 1X 10 ³ J/(kg. ℃); v is the indoor air capacity in m ³ The method is obtained through actual measurement and calculation; t (T) _in,t The indoor temperature at the starting moment of the t scheduling period is given in the unit of DEG C;the indoor temperature expected by building energy for a preset t scheduling period is given in the unit of DEG C;

wherein: q (Q) _cl,t The energy consumption of the building body is realized under the cooling working condition; q (Q) _hl,t Energy consumption for the building body under the heating working condition; k (k) _wall F _wall (T _0,t -T _in,t ) The whole represents the cold quantity, k, transferred from the building wall to the outside _wall F _wall (T _in,t -T _0,t ) The whole represents the heat transferred from the building wall to the outside, wherein k is _wall The heat transfer coefficient of the building wall is expressed as J/(squaremeter with the temperature) and F _wall Is the area of the building wall body, and the unit is m ² Calculated by actual measurement, T _0,t For a predicted T schedule period outdoor temperature in degrees celsius, T _in,t The indoor temperature at the starting moment of the t scheduling period is obtained through actual measurement, wherein the unit is the temperature; k (k) _win F _win (T _0,t -T _in,t ) The whole represents the cold quantity, k, transferred to the outdoor by the building window _win F _win (T _in,t -T _0,t ) The whole represents the heat transferred from the building window to the outside, wherein k _win The heat transfer coefficient of the building window is expressed as J/(squaremeters with the temperature) and F _win Is the area of a building window, and the unit is m ² The method is obtained through actual measurement and calculation; i _t F _win S _C The whole represents the heat transferred from solar heat radiation into the building room, whichIn, I _t Is solar irradiance, S _C Is a sunshade coefficient; q (Q) _in,t The heat productivity of the indoor heat source of the building is J; c (C) ₁ For the cold load factor of the lighting device, N ₁ Heat dissipation per unit area of lighting equipment, F _room For the area of each room inside the building, C ₂ Is the cold load coefficient of other indoor electric equipment, N ₂ Heat dissipation per unit area of the device, q _xr 、q _qr Respectively sensible heat and latent heat of personnel, C _xr The sensible heat and cooling load coefficient is n, the number of people in a unit area, and beta is a cluster coefficient;

Wherein:and->The method comprises the steps of respectively enabling the heat energy storage equipment to increase energy and enable the heat energy storage equipment to decrease energy in a t scheduling period; e (E) _WSHmax And E is _WSHmin Respectively storing an upper limit value and a lower limit value of energy of the thermal energy storage equipment; e (E) _WSH,t Scheduling time period for tStored energy of the thermal energy storage device at the start time;

in the formula: ΔW (delta W) _t An adjustable electric energy column vector for scheduling period t typical building energy, in kWh; Andthe electric energy can be reduced and the electric energy can be increased for the building at the dispatching time period t under the cooling working condition, and the unit kWh is set;Andthe electric energy can be reduced and the electric energy can be increased for a building at a dispatching time period t under a heating working condition, and the unit is kWh; t (T) _cold And T _hot Respectively cooling and heating conditions;And->The energy can be reduced and the energy can be increased for the building at the scheduling period t under the cooling working condition, and the unit is J;And->The energy can be reduced and the energy can be increased for the building at the dispatching time period t under the heat supply working condition, and the unit is J;

the building energy flexible adjustment evaluation processing unit is used for performing evaluation processing based on the building energy flexible adjustment potential indexes, and determining a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the power grid peak-valley difference adjustment; the evaluation processing is performed based on the building energy flexible adjustment potential index, and a margin range evaluation result of the building flexible load corresponding to the target scheduling period participating in the power grid peak-valley difference adjustment is determined, which specifically comprises the following steps: acquiring original fixed parameter data and time-varying data which change along with a scheduling period; judging a target working condition type corresponding to a target scheduling period, and determining a corresponding building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model according to the target working condition type; the original fixed parameter data and the time-varying data are respectively input into the corresponding building body energy consumption model, the energy storage equipment adjustable capacity model and the building temperature control load adjustment potential model to obtain building body energy consumption, building energy storage adjustment information and building temperature control load refrigeration or heating quantity adjustment information corresponding to a target scheduling period; obtaining energy regulation information for building corresponding to a target scheduling period according to the energy consumption of the building body, the energy storage regulation information for building and the temperature control load refrigeration or heating quantity regulation information for building; and determining a margin range evaluation result of the flexible building load which corresponds to the target scheduling period and participates in the peak-valley difference adjustment of the power grid according to the energy adjustment information for the building.

3. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the building energy flexibility adjustment potential indicator based assessment method according to claim 1 when the program is executed by the processor.

4. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the building energy flexibility adjustment potential indicator-based assessment method according to claim 1.