Method and device for selecting heat comfort of heat supply network user in electric heating system

Abstract

The invention discloses a heat supply network user thermal comfort selection method and device in an electric heating system, and belongs to the technical field of electric heating systems. The method comprises the steps that PMV serves as a thermal comfort evaluation index, and a heat supply network load fluctuation coefficient is obtained; the heat load fluctuation range is included in electric heating system scheduling calculation, and the scheduling constraint of the electric heating system is obtained; calculating the wind curtailment rate of each scheduling time period; according to the wind curtailment rate, a scheduling time period in which the thermal comfort needs to be adjusted is determined, and if the requirement is met or the thermal comfort fluctuation reaches the maximum limit, the process is ended; otherwise, the thermal comfort fluctuation range is increased in the time period not meeting the wind curtailment rate limitation to reduce the wind curtailment rate of the time period, and electric heating system dispatching calculation is conducted again according to the heat supply network load fluctuation coefficient. According to the invention, the fluctuation range of the comfort level of the heat supply network can be minimized in different scheduling time periods, so that the own benefit loss of a heat supply network user is reduced, and the requirement of a limited wind curtailment rate is met.

Description

Technical Field

[0001] The present invention relates to the technology of electric heating systems, and more particularly, to a method and device for selecting the thermal comfort of heat network users in an electric heating system. Background Art

[0002] With the increasing reduction of fossil energy and the growing environmental pollution problems, the global attention to energy conservation and emission reduction has been continuously increasing. To address this challenge, renewable clean energy sources such as wind power have developed rapidly. However, wind power is random and volatile, which brings huge power system dispatching problems to the large-scale integration of renewable energy. In the "Three-North" regions of China, the power system mainly relies on thermal power units for power generation. However, with the large-scale integration of wind power, this region faces increasingly serious system peak shaving and wind power accommodation problems. Especially during the heating season, due to the high heating load demand, combined heat and power units are usually required to operate in the "heat-determined power" mode. The power generation characteristics of wind power are anti-peak shaving, resulting in a large amount of wind abandonment. To solve this problem, a new idea is to deeply study the flexibility of the heat network side and the heat load side to expand the grid connection space of wind power, thereby improving the wind power accommodation capacity. Such measures can help better cope with the volatility of wind power and enhance the stability of the power system.

[0003] For residential heat loads, the thermal resistance of buildings is relatively large, and heat supply users have a certain elasticity in perceiving temperature comfort. When the heating temperature changes within a certain range, the heat consumption experience of users will not be affected. Therefore, we can regard the heating load as a flexible "power source" of the power system. By considering the elasticity of heat comfort of heat users and flexibly adjusting the heating temperature in the electric heating dispatch, more grid connection space can be provided for wind power, effectively enhancing the system's wind power accommodation capacity. Such measures can help balance the volatility of the power system, improve the utilization efficiency of wind power, and promote the sustainable development of clean energy. However, currently, the selection of thermal comfort only stays at the level of manual setting, and no appropriate range is selected through standardized and detailed calculations. Summary of the Invention

[0004] In view of this, in order to solve or improve the above-mentioned drawbacks in the prior art, the present invention proposes a method and device for selecting the thermal comfort of heat network users in an electric heating system, which can select a suitable range of thermal comfort in a more standardized and detailed manner.

[0005] To achieve the above object, the present invention provides a method for selecting the thermal comfort of heat network users in an electric heating system, including: using PMV as an index for evaluating thermal comfort to obtain the heat network load fluctuation coefficient; incorporating the heat load fluctuation range into the dispatching calculation of the electric heating system to obtain the dispatching constraints of the electric heating system; calculating the wind curtailment rate for each dispatching period; determining the dispatching time period for which the thermal comfort needs to be adjusted according to the wind curtailment rate, and if the requirements are met or the thermal comfort fluctuation reaches the maximum limit, ending; otherwise, increasing the thermal comfort fluctuation range for the time period that does not meet the wind curtailment rate limit to reduce the wind curtailment rate in that time period, and re-performing the dispatching calculation of the electric heating system according to the heat network load fluctuation coefficient.

[0006] In a possible implementation manner, the heat network load fluctuation coefficient is:

[0007]

[0008] In the formula, θ down is the downward heat network load fluctuation coefficient, θ up is the upward heat network load fluctuation coefficient, T u max is the lower limit of the indoor temperature of the user, T u max is the upper limit of the indoor temperature of the user.

[0009] In a possible implementation manner, the dispatching constraints of the electric heating system at least include:

[0010] Heat network load power constraint:

[0011] θ down ·∑H L ≤∑H CHP +∑H EB +∑H HS ≤θ up ·∑H L

[0012] In the formula, ∑H L respectively represent the predicted values of the heat load, ∑H CHP represents the heat output of the CHP unit, ∑H EB represents the heat power of the electric boiler, ∑H HS represents the heat power of the heat storage tank;

[0013] Objective function of the electric heating dispatching model:

[0014] min f = F1 + F2

[0015] In the formula, F1 is the power generation cost of the unit, and F2 is the wind curtailment penalty cost;

[0016] Power grid constraint:

[0017]

[0018] Where I is the number of cogeneration units, J is the number of electric boilers, is the power output of the i-th cogeneration unit in period t, is the power output of the wind turbine in period t, is the load power in period t, is the power consumption of the jth electric boiler in the tth period;

[0019] Wind power constraints:

[0020]

[0021] In the formula, is the wind power forecast value in period t, is the wind turbine output in period t.

[0022] In a possible implementation, the wind abandonment rate is calculated as follows:

[0023]

[0024] In the formula, is the wind power forecast value in period t, is the electrical output of the wind turbine in period t.

[0025] The present invention also proposes a device for selecting thermal comfort of a heating network user in an electric heating system, comprising:

[0026] The first unit is used to use PMV as a thermal comfort evaluation index to obtain the heat network load fluctuation coefficient;

[0027] The second unit is used to incorporate the heat load fluctuation range into the electric heating system scheduling calculation to obtain the scheduling constraints of the electric heating system;

[0028] The third unit is used to calculate the wind abandonment rate in each dispatch period;

[0029] The fourth unit is used to determine the scheduling time period that needs to adjust the thermal comfort according to the wind abandonment rate. If the requirements are met or the thermal comfort fluctuation reaches the maximum limit, the process ends; otherwise, the thermal comfort fluctuation range is increased for the time period that does not meet the wind abandonment rate limit to reduce the wind abandonment rate of the time period, and the electric heating system scheduling calculation is re-performed according to the heat network load fluctuation coefficient.

[0030] In a possible implementation, the heat network load fluctuation coefficient is:

[0031]

[0032] In the formula, θ down is the downward fluctuation coefficient of the heat network load, θ upis the upward fluctuation coefficient of the heat network load, T u max is the lower limit of the indoor temperature of the user, T u max is the upper limit of the indoor temperature of the user.

[0033] In a possible implementation, the scheduling constraints of the electro-thermal system at least include:

[0034] Heat network load power constraint:

[0035] θ down ·∑H L ≤∑H CHP +∑H EB +∑H HS ≤θ up ·∑H L

[0036] In the formula, ∑H L respectively represent the predicted values of the heat load, ∑H CHP represents the heat output of the CHP unit, ∑H EB represents the heat power of the electric boiler, ∑H HS represents the heat power of the heat storage tank;

[0037] Objective function of the electro-thermal scheduling model:

[0038] min f = F1 + F2

[0039] In the formula, F1 is the power generation cost of the unit, and F2 is the penalty cost for abandoned wind;

[0040] Grid constraint:

[0041]

[0042] In the formula, I is the number of combined heat and power units, J is the number of electric boilers, is the electric output of the i-th combined heat and power unit in the t-th period, is the electric output of the wind turbine in the t-th period, is the electric load power in the t-th period, is the power consumption of the j-th electric boiler in the t-th period;

[0043] Wind power constraint:

[0044]

[0045] In the formula, is the predicted value of the wind power in the t-th period, is the output of the wind turbine in the t-th period.

[0046] In a possible implementation, the calculation method of the abandoned wind rate is:

[0047]

[0048] In the formula, is the predicted value of wind power in the t-th time period, is the electrical output of the wind turbine in the t-th time period.

[0049] Beneficial effects

[0050] Compared with the prior art, the technical solution of the present invention has the following advantages: The present invention takes the wind curtailment rate as the selection index of thermal comfort, adjusts the thermal comfort of the heat network to achieve the limited wind curtailment rate, but at the same time cannot exceed the maximum acceptable limit of heat network users, so that the fluctuation range of thermal comfort of the heat network reaches the minimum within different scheduling time periods, solves the contradiction between the self-interest of heat network users and the wind curtailment rate, that is, reduces the loss of the self-interest of heat network users and meets the requirements of the limited wind curtailment rate. Brief description of the drawings

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments of the present invention. Obviously, the following described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the drawings without creative efforts. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts do not necessarily draw according to the actual ratio.

[0052] Figure 1 is a schematic diagram of the method for selecting the thermal comfort of heat network users in the electro-thermal system provided in this embodiment.

[0053] Figure 2 is a schematic flow chart of the method for selecting the thermal comfort of heat network users in the electro-thermal system provided in this embodiment.

[0054] Figure 3 is a schematic diagram of the device for selecting the thermal comfort of heat network users in the electro-thermal system provided in this embodiment. Detailed implementation manners

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0056] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention.

[0057] In the description of the present invention, the meaning of "a number of" is one or more, the meaning of "a plurality of" is two or more, and understandings such as "greater than", "less than", "exceeding", etc. do not include the present number, and understandings such as "above", "below", "within", etc. include the present number. If there are descriptions of the terms "first", "second", "third", etc., they are only for descriptive purposes and for distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features or implicitly indicating the sequence relationship of the indicated technical features.

[0058] In the description of the present invention, it should be noted that unless otherwise clearly specified and defined, the terms "installed", "connected", "connected to" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. In addition, the technical features involved in different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0059] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0060] It should also be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0061] It should be further understood that the term "and / or" used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0062] In the existing literature "Low-carbon economic dispatch of integrated energy system of power plants with carbon capture considering generalized electro-thermal demand response", when using the thermal sensation vote (TSV) to measure the indoor temperature within a certain range, a questionnaire is adopted to objectively describe the individual's cold and hot sensations. According to the allowable fluctuation range of the thermal sensation vote, the fluctuation range of the indoor temperature is obtained, and then the fluctuation range of the heat network load is obtained. This literature sets the all-day heat network load fluctuation range as a fixed value.

[0063] In Chinese Patent Specification CN201910034296 and the article "An electro-thermal combined dispatch model considering heat load elasticity and heat network characteristics for wind power accommodation", PMV is used to measure the impact of the change of indoor temperature on the comfort of heat network users. The comfort fluctuation range during the day is directly set to ±0.5, and the comfort fluctuation range at night is set to ±1. From the perspective of heat network users, they do not want the comfort to fluctuate too much. Setting the heat network comfort range too large is a damage to their own interests. Therefore, directly setting the fluctuation period and range cannot well reduce the loss of the interests of heat network users.

[0064] Therefore, in order to select a suitable range of thermal comfort more standardly and in detail, this embodiment provides a method for selecting the thermal comfort of heat network users in the electro-thermal system as shown in Figure 1 and includes steps S110 to S140:

[0065] S110: Use PMV as the thermal comfort evaluation index to obtain the heat network load fluctuation coefficient;

[0066] S120: Incorporate the heat load fluctuation range into the electro-thermal system dispatch calculation to obtain the dispatch constraints of the electro-thermal system;

[0067] S130: Calculate the wind curtailment rate for each dispatch period;

[0068] S140: Determine the dispatch time period for which the thermal comfort needs to be adjusted according to the wind curtailment rate. If the requirements are met or the thermal comfort fluctuation reaches the maximum limit, end; otherwise, increase the thermal comfort fluctuation range for the time period that does not meet the wind curtailment rate limit to reduce the wind curtailment rate of that time period, and re-perform the electro-thermal system dispatch calculation according to the heat network load fluctuation coefficient.

[0069] The specific system process can be referred to Figure 2 as shown:

[0070] Step 1: Use PMV as the thermal comfort evaluation index to obtain the heat network load fluctuation coefficient.

[0071] The PMV value is a comprehensive index, based on the human body heat balance state equation and considering factors such as human physiology and psychology, used to evaluate the thermal comfort standard. The standard formula of PMV is expressed as follows:

[0072]

[0073] Simplify the quantities therein to obtain

[0074]

[0075] In the formula, T u represents the indoor temperature of the user. When the temperature is 26°C, PMV is equal to 0, and at this time the user's comfort is the best.

[0076] The existing "Code for Design of Heating, Ventilation and Air Conditioning" (GB50736-2012) in China divides thermal comfort into grades I and II. Using PMV as a quantitative index, the PMV range corresponding to grade I is -0.5 ≤ PMV ≤ 0.5, and the PMV corresponding to grade II is -1 ≤ PMV ≤ -0.5 and 0.5 ≤ PMV ≤ 1. For the ISO7730 standard, when PMV is within the corresponding fluctuation range of grade I, due to the fuzziness of the user's own perception, the user will not perceive the temperature change. First, set PMV within the corresponding fluctuation range of grade I and obtain the upper and lower limits of the corresponding heat load fluctuation.

[0077] According to the endpoint values of the PMV change, transform the above formula (1-2) to obtain:

[0078]

[0079] Then the heat network load fluctuation coefficient can be obtained:

[0080]

[0081] θ down is the heat network load downward fluctuation coefficient, θ up is the heat network load upward fluctuation coefficient, T u max is the lower limit of the user's indoor temperature, T u max is the upper limit of the user's indoor temperature.

[0082] Step 2: Incorporate the heat load fluctuation range into the dispatching calculation of the electric heating system

[0083] From step 1, the heat load fluctuation coefficient is obtained, and the heat network load power constraint can be expressed as:

[0084] θ down ·∑H L ≤∑H CHP +∑H EB +∑H HS ≤θ up ∑HL (2-1)

[0085] Where: ∑H L respectively represents the predicted value of the heat load, ∑H CHP represents the heat output of the CHP unit, ∑H EB represents the heat power of the electric boiler, ∑H HS represents the heat power of the heat storage tank.

[0086] Objective function of the electric-thermal dispatch model:

[0087] min f = F1 + F2 (2-2)

[0088] Where F1 is the power generation cost of the unit and F2 is the penalty cost for wind curtailment.

[0089] Grid constraints:

[0090]

[0091] Where: I is the number of combined heat and power units, J is the number of electric boilers, is the electric output of the i-th combined heat and power unit in the t-th time period, is the output of the wind turbine in the t-th time period, is the electric load power in the t-th time period, is the power consumption of the j-th electric boiler in the t-th time period.

[0092] Wind power constraints:

[0093]

[0094] Where: is the predicted value of wind power in the t-th time period.

[0095] The upper and lower limits of unit output, unit ramp rate constraints, and unit start-stop constraints in the power grid system are not listed in detail.

[0096] Heat network constraints:

[0097] The node temperature constraints, pipeline heat loss constraints, electric boiler and heat storage tank models in the heat network system are not listed in detail.

[0098] Conduct electric-thermal system dispatch calculation.

[0099] Step 3: Calculate the wind curtailment rate

[0100] According to the calculation results of Step 2, calculate the wind curtailment rate for each dispatch time period.

[0101] Wind curtailment rate:

[0102] Step 4: Decision-making and judgment

[0103] Determine the dispatching time period for adjusting the thermal comfort according to the wind curtailment rate. If the requirements are met or the thermal comfort fluctuation reaches the maximum limit, end the process. Otherwise, increase the range of thermal comfort fluctuation for the time periods that do not meet the wind curtailment rate limit to reduce the wind curtailment rate in these time periods, obtain the heat network load fluctuation coefficient according to formula (1 - 3), and enter step 2.

[0104] As Figure 3 shown, the present invention also provides a device for selecting the thermal comfort of heat network users in an electro-thermal system, including: a first unit 1 for using PMV as an index for evaluating thermal comfort and obtaining the heat network load fluctuation coefficient; a second unit 2 for incorporating the range of heat load fluctuation into the dispatching calculation of the electro-thermal system to obtain the dispatching constraints of the electro-thermal system; a third unit 3 for calculating the wind curtailment rate of each dispatching time period; a fourth unit 4 for determining the dispatching time period for adjusting the thermal comfort according to the wind curtailment rate. If the requirements are met or the thermal comfort fluctuation reaches the maximum limit, end the process. Otherwise, increase the range of thermal comfort fluctuation for the time periods that do not meet the wind curtailment rate limit to reduce the wind curtailment rate in these time periods, and re-perform the dispatching calculation of the electro-thermal system according to the heat network load fluctuation coefficient.

[0105] Furthermore, the heat network load fluctuation coefficient is:

[0106]

[0107] In the formula, θ down is the downward fluctuation coefficient of the heat network load, and θ up is the upward fluctuation coefficient of the heat network load.

[0108] Furthermore, the dispatching constraints of the electro-thermal system at least include:

[0109] Heat network load power constraint:

[0110] θ down ·∑H L ≤∑H CHP +∑H EB +∑H HS ≤θ up ·∑H L

[0111] In the formula, ∑H L respectively represent the predicted values of the heat load, ∑H CHP represents the heat output of the CHP unit, ∑H EB represents the heat power of the electric boiler, and ∑H HS represents the heat power of the heat storage tank;

[0112] Objective function of the electro-thermal dispatching model:

[0113] min f = F1 + F2

[0114] Wherein, F1 is the power generation cost of the unit, and F2 is the penalty cost for wind curtailment;

[0115] Grid constraint:

[0116]

[0117] Wherein, I is the number of combined heat and power units, and J is the number of electric boilers, is the electrical output of the i-th combined heat and power unit in the t-th period, is the electrical output of the wind turbine in the t-th period, is the electrical load power in the t-th period, is the power consumption of the j-th electric boiler in the t-th period;

[0118] Wind power constraint:

[0119]

[0120] Wherein, is the predicted value of wind power in the t-th period, is the output of the wind turbine in the t-th period.

[0121] Furthermore, the calculation method of the wind curtailment rate is:

[0122]

[0123] Wherein, is the predicted value of wind power in the t-th period, is the electrical output of the wind turbine in the t-th period.

[0124] Those of ordinary skill in the art can realize that the units of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components of each example have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0125] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0126] In addition, in each embodiment of the present invention, each functional unit can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0127] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, read-only memories (ROMs), random access memories (RAMs), mobile hard disks, magnetic disks or optical discs that can store program codes.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of each embodiment of the present invention, and they should all be covered by the scope of the claims and the description of the present invention.

Claims

1. A method for selecting the thermal comfort of heat network users in an electric heating system, characterized in that including: Taking PMV as the thermal comfort evaluation index to obtain the heat network load fluctuation coefficient; Incorporating the heat load fluctuation range into the dispatching calculation of the electric-heat system to obtain the dispatching constraints of the electric-heat system; Calculating the wind curtailment rate for each dispatching period; Determining the dispatching time period for adjusting thermal comfort according to the wind curtailment rate. If the requirements are met or the thermal comfort fluctuation reaches the maximum limit, end; Otherwise, increase the thermal comfort fluctuation range for the time period that does not meet the wind curtailment rate limit to reduce the wind curtailment rate of that time period, and re-perform the dispatching calculation of the electric-heat system according to the heat network load fluctuation coefficient.

2. The method for selecting the thermal comfort of heat network users in the electric heating system according to claim 1, characterized in that, The heat network load fluctuation coefficient is: where θ down is the downward fluctuation coefficient of the heat network load, and θ up is the upward fluctuation coefficient of the heat network load; T umax is the lower limit of the indoor temperature of users, and T umax is the upper limit of the indoor temperature of users.

3. The method for selecting the thermal comfort of heat network users in the electrothermal system according to claim 1, characterized in that, The dispatching constraints of the electric-heat system at least include: Heat network load power constraint: θ down ·ΣH L ≤ΣH CHP +∑H EB +∑H HS ≤θ up •ΣH L where ∑H L respectively represents the predicted value of the heat load, ∑H CHP represents the heat output of the CHP unit, ∑H EB represents the heat power of the electric boiler, ∑H HS represents the heat power of the heat storage tank; Objective function of the electric-heat dispatching model: min f = F1 + F2 where F1 is the power generation cost of the unit and F2 is the wind curtailment penalty cost; Power grid constraint: where \(I\) is the number of combined heat and power units, and \(J\) is the number of electric boilers. is the electric output of the \(i\)-th combined heat and power unit in the \(t\)-th period, is the electric output of the wind turbine in the \(t\)-th period, is the electric load power in the \(t\)-th period, is the power consumption of the \(j\)-th electric boiler in the \(t\)-th period; Wind power constraint: Wherein, is the predicted wind power value at the t-th time period, is the output of the wind turbine at the t-th time period.

4. The method for selecting the thermal comfort of heat network users in the electrothermal system according to claim 1, wherein, The calculation method of the wind curtailment rate is: In the formula, is the predicted value of wind power in the t-th period, is the electrical output of the wind turbine in the t-th period.

5. A heat comfort selection device for heat network users in an electric heating system, characterized in that, including: The first unit is used to take PMV as the thermal comfort evaluation index to obtain the heat network load fluctuation coefficient; The second unit is used to incorporate the heat load fluctuation range into the dispatching calculation of the electric-heat system to obtain the dispatching constraints of the electric-heat system; The third unit is used to calculate the wind curtailment rate for each dispatching period; The fourth unit is used to determine the dispatching time period for adjusting thermal comfort according to the wind curtailment rate. If the requirements are met or the thermal comfort fluctuation reaches the maximum limit, end; otherwise, increase the thermal comfort fluctuation range for the time period that does not meet the wind curtailment rate limit to reduce the wind curtailment rate of that time period, and re-perform the dispatching calculation of the electric-heat system according to the heat network load fluctuation coefficient.

6. The heat comfort selection device for heat network users in the electrothermal system according to claim 5, characterized in that, The heat network load fluctuation coefficient is: where, θ down is the downward fluctuation coefficient of the heat network load, θ up is the upward fluctuation coefficient of the heat network load, T umax is the lower limit of the indoor temperature of the user, T umax is the upper limit of the indoor temperature of the user.

7. The heat comfort selection device for heat network users in the electrothermal system according to claim 5, characterized in that The dispatching constraints of the electric-heat system at least include: Heat network load power constraint: θ down ·∑H L ≤∑H CHP +∑H EB +∑H HS ≤θ up ·∑H L where ∑H L respectively represents the predicted value of the heat load, ∑H CHP represents the heat output of the CHP unit, ∑H EB represents the heat power of the electric boiler, ∑H HS represents the heat power of the heat storage tank; Objective function of the electric-heat dispatching model: min f = F1 + F2 where F1 is the power generation cost of the unit and F2 is the wind curtailment penalty cost; Power grid constraint: where \(I\) is the number of combined heat and power (CHP) units, and \(J\) is the number of electric boilers. is the electrical output of the \(i\)-th CHP unit in the \(t\)-th time period. is the electrical output of the wind turbine in the \(t\)-th time period. is the electrical load power in the \(t\)-th time period. is the power consumption of the \(j\)-th electric boiler in the \(t\)-th time period. Wind power constraint: Wherein, is the predicted value of wind power in the t-th period, is the output of the wind turbine in the t-th period.

8. The heat comfort selection device for heat network users in the electrothermal system according to claim 5, characterized in that, The calculation method of the wind curtailment rate is: In the formula, is the predicted value of wind power in the t-th period, is the electrical output of the wind turbine in the t-th period.

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