Temperature control load aggregation participation market regulation method considering incentive mechanism

Abstract

The invention discloses a temperature control load aggregation participation market regulation method considering an incentive mechanism, and belongs to the technical field of power system operation control, and the method comprises the steps: sending a reduction instruction to a user, enabling the user to actively reduce the electric quantity, and obtaining a corresponding compensation price; calculating the polymer power in the process of actively reducing the electric quantity by the user through the reduction instruction in combination with a pre-constructed first-order ETP model of an air conditioner load; the aggregator income is obtained through the reduced electric quantity and electricity market transaction, and the aggregator income is obtained through calculation of the aggregator power and the compensation price; reformulating a reduction plan according to the gatherer income, and continuing to send a reduction instruction to excite the user to reduce the electric quantity so as to carry out the next transaction; according to the method, the demand side resources actively participate in power grid operation in a quantitative compensation mode, and the purposes of peak load shifting, energy efficiency improvement, new energy consumption rate improvement and the like can be achieved.

Description

Technical Field

[0001] The invention relates to a temperature control load aggregation participation market regulation method considering an incentive mechanism, and belongs to the technical field of power system operation control. Background Art

[0002] Since wind energy and solar energy are closely related to natural environmental conditions, the output of new energy units is difficult to be accurately predicted and controlled, resulting in strong uncertainty, which restricts the effective use of new energy units. Especially for systems with high penetration of new energy, rapid output fluctuations may cause real-time power imbalance, posing great risks to the safe and stable operation of the system. Temperature control loads represented by air conditioners and heat pumps are currently the most widely distributed demand-side resources, with huge demand-side response potential. The main way for demand-side resources to participate in the power grid is to purchase electricity at a low price to meet their own needs when the power grid is low, and to transfer or interrupt electricity during peak hours to reduce electricity expenses and obtain compensation. Under a scientific and reasonable market mechanism, demand-side resources can enrich the means of grid operation and dispatch, increase grid flexibility, and ensure the safe and stable operation of the power market. At present, due to the diversity and uncertainty of temperature control load behavior, how to use their response potential in an efficient and reliable way is still an urgent problem to be solved. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a method for temperature control load aggregation participation in market regulation taking into account the incentive mechanism. By giving quantitative compensation, demand-side resources are allowed to actively participate in power grid operation, which can achieve the purposes of peak shaving and valley filling, improving energy efficiency, and increasing the new energy consumption rate.

[0004] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0005] In a first aspect, the present invention provides a method for temperature control load aggregation participation market regulation considering an incentive mechanism, which is applicable to an aggregator, and includes:

[0006] Send reduction instructions to users, so that users can actively reduce electricity consumption and obtain corresponding compensation prices;

[0007] By using the reduction instruction and combining the pre-built first-order ETP model of air conditioning load, the aggregate power in the process of user's active reduction of power is calculated;

[0008] Obtain aggregator revenue by trading the reduced power in the power market, where the aggregator revenue is calculated based on aggregate power and compensation price;

[0009] Based on the aggregator's revenue, the reduction plan is re-formulated and reduction instructions are continued to be sent to encourage users to reduce electricity for the next transaction.

[0010] Furthermore, the sending of the reduction instruction to the user so that the user actively reduces the amount of electricity and obtains a corresponding compensation price includes:

[0011] Send reduction instructions, including upper limit of air conditioning set temperature and lower limit , allowing users to actively reduce electricity consumption and provide feedback on the actual adjustment of the air conditioning set temperature ; The compensation price is calculated by the actual adjustment of the air conditioner set temperature and the set temperature adjustment. The formula is as follows: (1); In the formula, Set the actual temperature adjustment for the air conditioner; To compensate for the price; and To compensate for the price insensitive zone threshold and the saturation zone threshold; is the slope of the linear response area; Set the maximum temperature adjustment for the air conditioner. .

[0012] Furthermore, the reduction instruction is combined with a pre-built first-order ETP model of air conditioning load to calculate the aggregate power during the user's active reduction of power, including:

[0013] The first-order ETP model of temperature control load is established, and the formula is as follows:

[0014] (2);

[0015] In the formula, is the indoor temperature at time t+1; is the thermal resistance of the indoor air; is the heat capacity of the indoor air; is the temperature outside the building; is the indoor air temperature; is the actual power of the air conditioner at time t;

[0016] in, The calculation formula is as follows:

[0017] (3);

[0018] In the formula, is the actual power of the air conditioner at time t; is the working status of the air conditioner at time t; The rated power of the air conditioner in cooling state; is the air conditioning energy efficiency ratio;

[0019] The working state of a single air conditioning load at time t+1 is calculated by the reduction instruction. , the formula is as follows:

[0020] (4);

[0021] In the formula, and is the working state of the air conditioner at time t+1 and time t, 0 means the air conditioner stops cooling and is in a power-off state, 1 means the air conditioner is cooling and is in a working state; wherein, the upper limit of the air conditioner set temperature and lower limit , and the air conditioning set temperature The relationship is as follows:

[0022] (5);

[0023] In the formula, is the temperature dead zone width of the air conditioner;

[0024] By solving equations (2) and (4), we can get the startup cycle: and downtime cycles The formula is as follows:

[0025] (8);

[0026] (9);

[0027] Calculate the aggregate power of N air conditioners at time t using the following formula:

[0028] (10);

[0029] In the formula, is the aggregated total power of the air conditioning load at time t; For the Rated power consumption of the air conditioner; is the number of air conditioning loads participating in the aggregation; For the The duty cycle of the air conditioner load is as follows:

[0030] (11).

[0031] Furthermore, the aggregator's profit is calculated by the aggregate power and the compensation price, and the formula is as follows:

[0032] (12);

[0033] in, is the net revenue of the load aggregator; tariffs for electricity sold to the grid for aggregators; is the dispatch cost of the aggregator.

[0034] Furthermore, the reduction plan is re-formulated according to the aggregator's revenue, and the reduction instructions are continuously sent to encourage users to reduce electricity for the next transaction, including:

[0035] The objective function is established to maximize the aggregator's profit and the planned output is calculated. The formula is as follows:

[0036] (14);

[0037] in, It is the on-grid time-of-use electricity price given by the power department; Is an aggregator Planned output at time t; is the aggregator revenue; T is each time in a day; n is the number of aggregators;

[0038] According to aggregators Planned output at time t , formulate a reduction plan, and continue to send reduction instructions to encourage users to reduce electricity for the next transaction.

[0039] Furthermore, the aggregator Planned output at time t The constraints are as follows:

[0040] (15);

[0041] (16);

[0042] (17);

[0043] in, Is an aggregator Predict the output value at time t; Is an aggregator The difference between the output at time t and the predicted output.

[0044] Furthermore, the method further includes: establishing an objective function by minimizing the deviation between the actual output and the planned output, and calculating the planned output with the minimum deviation, the formula is as follows:

[0045] (18);

[0046] It is the deviation between the actual output and the planned output in one hour; Is an aggregator The actual output at time t.

[0047] In a second aspect, the present invention provides a temperature control load aggregation market regulation device considering an incentive mechanism, comprising:

[0048] The reduction module is used to send reduction instructions to users, so that users can actively reduce electricity consumption and obtain corresponding compensation prices;

[0049] A calculation module, used to calculate the aggregate power during the process of the user's active power reduction by combining the reduction instruction with a pre-built first-order ETP model of the air conditioning load;

[0050] The trading module is used to trade the reduced power with the power market to obtain the aggregator's profit, where the aggregator's profit is calculated by the aggregate power and the compensation price;

[0051] The planning module is used to re-formulate the reduction plan based on the aggregator's revenue and continue to send reduction instructions to encourage users to reduce electricity for the next transaction.

[0052] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the aforementioned methods.

[0053] In a fourth aspect, the present invention provides a computer device, comprising:

[0054] Memory, for storing computer programs / instructions;

[0055] A processor is used to execute the computer program / instructions to implement the steps of any of the aforementioned methods.

[0056] In a fifth aspect, the present invention provides a computer program product, comprising a computer program / instruction, which implements the steps of any one of the aforementioned methods when executed by a processor.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] The present invention provides a method for temperature control load aggregation participating in market regulation considering an incentive mechanism, wherein a reduction instruction is sent to a user by an aggregator, so that the user actively reduces the amount of electricity and obtains a corresponding compensation price; through the reduction instruction, combined with a pre-constructed first-order ETP model of the air-conditioning load, the aggregate power in the process of the user's active reduction of electricity is calculated; through the reduced electricity and the power market transaction, by giving quantitative compensation, the demand-side resources are actively involved in the operation of the power grid, which can achieve the purposes of shaving peaks and filling valleys, improving energy efficiency, and improving the new energy consumption rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a schematic flow chart of a method for temperature control load aggregation participating in market regulation considering an incentive mechanism provided by an embodiment of the present invention;

[0060] Figure 2 Schematic diagram of influencing factors of the first-order ETP model provided by an embodiment of the present invention;

[0061] Figure 3 is a schematic diagram of the relationship between the incentive compensation price and the comfort sacrifice provided by an embodiment of the present invention;

[0062] Figure 4 This is a structure diagram of temperature control load participating in market transactions provided by an embodiment of the present invention;

[0063] Figure 5 is a schematic diagram of the change of air conditioning power with temperature provided by an embodiment of the present invention;

[0064] Figure 6 is a schematic diagram comparing the temperature adjustment effects of the method provided by the embodiment of the present invention and the traditional method;

[0065] Figure 7 is a schematic diagram comparing resident expenses of the method provided by an embodiment of the present invention and a traditional method;

[0066] Figure 8 It is a schematic diagram comparing user comfort between the method provided by an embodiment of the present invention and the traditional method. DETAILED DESCRIPTION

[0067] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0068] Embodiment 1, as Figure 1 As shown, this embodiment introduces a method for temperature control load aggregation participation market regulation considering an incentive mechanism, which is applicable to aggregators, including:

[0069] Send reduction instructions to users, so that users can actively reduce electricity consumption and obtain corresponding compensation prices;

[0070] By using the reduction instruction and combining the pre-built first-order ETP model of air conditioning load, the aggregate power in the process of user's active reduction of power is calculated;

[0071] Obtain aggregator revenue by trading the reduced power in the power market, where the aggregator revenue is calculated based on aggregate power and compensation price;

[0072] Based on the aggregator's revenue, the reduction plan is re-formulated and reduction instructions are continued to be sent to encourage users to reduce electricity for the next transaction.

[0073] like Figure 1 As shown, the temperature control load aggregation market regulation method considering the incentive mechanism provided in this embodiment specifically involves the following steps:

[0074] Step 1: The aggregator sends a reduction instruction to the user, so that the user actively reduces the power consumption and obtains the corresponding compensation price;

[0075] As the positive incentive compensation price increases, the user comfort temperature sacrifice amount versus compensation price curve can be expressed as a "minimum insensitive area-linear response area-maximum saturation area" trend, such as Figure 3 As shown;

[0076] Affected by users' profit-seeking and consumer psychology, when the incentive compensation is low, residents are insensitive to smaller benefits and are unwilling to actively adjust the air-conditioning temperature setting value to sacrifice more comfort; as the incentive compensation increases, users are willing to sacrifice some comfort in exchange for higher benefits, and the overall response is linear; when the air-conditioning temperature setting value reaches the user's tolerable limit or reaches the limit of the air-conditioning equipment's own parameter settings, the user's comfort sacrifice will not change significantly with the incentive, reaching a saturation effect.

[0077] Aggregators send curtailment instructions, including caps on air conditioning set temperatures and lower limit , allowing users to actively reduce electricity consumption and provide feedback on the actual adjustment of the air conditioning set temperature ;

[0078] The relationship between positive incentive price and sacrificed comfort temperature can be expressed as:

[0079] (1);

[0080] In the formula, Set the actual adjustment amount of the air conditioner temperature. ; Set the maximum temperature adjustment for the air conditioner; To compensate for the price; and To compensate for the price insensitive zone threshold and the saturation zone threshold; is the slope of the linear response area.

[0081] Step 2: Calculate the aggregate power during the user's active power reduction process by combining the reduction instruction with a pre-built first-order ETP model of the air conditioning load;

[0082] like Figure 2As shown in the figure, since the second-order ETP model of air conditioning takes into account factors such as the heat exchange capacity between the building room and the outside world, the heat absorption and release of indoor air, solar thermal radiation, and heat release of indoor terminal equipment, the formula structure is complex and the calculation is cumbersome, resulting in a slow calculation speed. In the face of a large amount of air conditioning load data, it is difficult to adapt to actual requirements. Therefore, on the basis of the second-order ETP model, external factors such as solar radiation, air flow, and thermal conductivity of the building can be ignored to obtain the first-order ETP model of air conditioning load:

[0083] (2);

[0084] In the formula, is the indoor temperature at time t+1; is the thermal resistance of the indoor air; is the heat capacity of the indoor air; is the temperature outside the building; is the indoor air temperature; The cooling energy or heat generated by the operation of air conditioning load.

[0085] From the ETP model, we can know that the working state of the air conditioning load is related to the indoor temperature. If the indoor temperature is higher than the set temperature upper limit, the air conditioner will enter the cooling operation state; if the indoor temperature is lower than the set temperature lower limit, the air conditioner will stop working; if the indoor temperature is between the set temperature upper and lower limits, the air conditioner will maintain the working state of the previous time period unchanged.

[0086] The actual cooling power of a single air conditioner at time t is shown in formula (3):

[0087] (3);

[0088] In the formula, is the actual power of the air conditioner at time t; is the working state of the air conditioner at time t (0 means the air conditioner stops cooling and is in a power-off state, 1 means the air conditioner is cooling and is in a working state); The rated power of the air conditioner in cooling state; is the energy efficiency ratio of air conditioning.

[0089] The working state of a single air conditioning load at time t+1 is calculated by the reduction instruction. As shown in formula (4):

[0090] (4);

[0091] In the formula, and The working status of the air conditioner at time t and time t+1; and Set the upper and lower limits of the air conditioner temperature. Relationship:

[0092] (5);

[0093] In the formula, is the temperature dead zone width of the air conditioner.

[0094] By solving equations (2) and (4), we can get the startup cycle and downtime cycles :

[0095] (6);

[0096] (7);

[0097] Further simplification:

[0098] (8);

[0099] (9);

[0100] Based on the thermodynamic equivalent model and the analysis of operating characteristics, the single physical model of air conditioning load has been preliminarily established. However, for the entire regional power grid or load aggregator, what needs to be understood is the overall aggregated power load of multiple air conditioning equipment. Considering that under stable conditions, the average power consumption of air conditioning load is related to the proportion of its on period to the entire operating period (on period plus off period) (i.e. duty cycle). Therefore, the aggregated total power of N air conditioning equipment at time t can be expressed as:

[0101] (10);

[0102] In the formula, is the aggregated total power of the air conditioning load at time t; For the Rated power consumption of the air conditioner; is the number of air conditioning loads participating in the aggregation; For the The duty cycle of an air conditioner load, that is, the probability that it is in the on state, can be expressed as:

[0103] (11).

[0104] Step 3: Obtain the aggregator's profit by trading the reduced power with the power market, where the aggregator's profit is calculated by the aggregate power and the compensation price;

[0105] The load aggregator sells the controllable capacity of the aggregated temperature-controlled load to the dispatch center according to the electricity sales price to obtain income, and at the same time pays a certain response fee to users who participate in demand response according to the incentive price; residential users actively adjust the temperature-controlled load to participate in demand response based on the electricity price incentive measures, and obtain certain incentive rewards. The income of the aggregator and the income of the user are shown in the formula:

[0106] (12);

[0107] (13);

[0108] In the formula, is the net revenue of the load aggregator; Net revenue for residential users; tariffs for electricity sold to the grid for aggregators; The dispatch cost for the aggregator; Costs for residential users, such as comfort utility loss costs, etc.

[0109] Step 4: Re-formulate the reduction plan based on the aggregator's revenue, and continue to send reduction instructions to encourage users to reduce electricity for the next transaction;

[0110] Load aggregators sell electricity in the power ancillary service market, and transmission companies and ancillary service power plants buy electricity from the power market. On a macro level, aggregators analyze historical data and meteorological data to predict the potential for participation, formulate day-ahead reduction plans, participate in power ancillary service market transactions, and obtain revenue from the power market; on a micro level, load aggregation units under the control of aggregators receive reduction instructions from aggregators, and then reduce loads according to the plan and feedback the reduction results. Users reduce electricity demand and obtain compensation for participating in demand-side response by participating in aggregators' demand-side response projects, and aggregators make profits from the difference between electricity sold in the power ancillary service market and subsidies returned to users. Of course, aggregators can issue as many reduction tasks as possible without affecting user comfort to obtain maximum profits.

[0111] like Figure 4The figure shows the structure diagram of temperature-controlled load participating in market transactions. After collecting meteorological data, load data, and the next day's time-of-use electricity price information, the aggregator completes the evaluation of the potential for participating in demand-side response and then participates in electricity market transactions. The upper layer refers to the agency that completes the evaluation of the potential for temperature-controlled load groups to participate in electricity market transactions based on the information collected by the aggregation group, meteorological data, and the electricity market price before the day, and formulates the hourly reduction tasks for each aggregation group; the lower layer receives the hourly reduction tasks of the upper layer to start the load aggregation optimization model, and adopts the improved queue method to regulate the temperature control equipment of the aggregation group. This module needs to optimize the temperature control equipment of the aggregation group as a whole to meet the requirements of the upper layer's tasks, residents' comfort, and volatility during the adjustment period. The lower layer uploads the actual load reduction every hour to the upper layer in real time, and the upper layer receives the lower layer information in real time and adjusts the subsequent scheduling plan.

[0112] 1. Upper-level optimization model

[0113] After predicting the overall dispatching potential and available time of the temperature-controlled load group, the one-day access plan is optimized according to the time-of-use access price given by the power department to maximize the interests of the aggregator.

[0114] (1) Objective function

[0115] (14);

[0116] in, It is the on-grid time-of-use electricity price given by the power department; Is an aggregator Planned output at time t; is the aggregator revenue; T is each time of the day; n is the number of aggregators.

[0117] (2) Constraints

[0118] (15);

[0119] (16);

[0120] (17);

[0121] Is an aggregator At time t, the output values ​​are predicted. Since the air conditioning loads are elastic, their output range can be between 0.8 and 1.2 times the predicted potential; Is an aggregator The difference between the output at time t and the predicted output.

[0122] when Greater than 0 means that the actual output of the unit at time t is greater than the predicted output, and the excess output means that the aggregate quotient is greater than the predicted output at time t. The set temperature exceeds the expected value. Then at the next moment, the unit output will be limited, that is, it will be less. When the output of the aggregation group participating in the dispatch at time (t-1) is greater than the predicted value, it will be less at the next moment t. force; and vice versa.

[0123] 2. Lower layer optimization model

[0124] The control strategy is formulated based on user comfort, which is very different from direct load control. This control method is flexible control, so load reduction does not mean directly shutting down some air-conditioning units or shutting down the units in turn for a period of time. Compared with direct load control, flexible control can better meet user comfort requirements, but it is more troublesome to control the unit output and deviation. The results of the upper-level optimization are directly transmitted to the lower-level module. The lower-level module formulates appropriate control strategies based on the reduction plan for each time period to meet the control objectives, including minimizing the deviation between the plan and the actual reduction, ensuring that the comfort of residents at each moment falls within the system setting range, and that the volatility of the load during the control period meets the requirements of the power grid.

[0125] (1) Objective function

[0126] (18);

[0127] is the deviation between the actual output in one hour and the dispatch plan; Is an aggregator The actual output at time t.

[0128] (2) Constraints

[0129] (19);

[0130] (20);

[0131] (twenty one);

[0132] It is an index of human comfort; For Aggregators Fluctuating power at time t; and Set the lower and upper limits of fluctuation respectively; The air conditioner shut-off time. When the air conditioner is turned off, the shut-off time cannot be less than 2 minutes. Frequent activation of the air conditioner will affect its service life.

[0133] This embodiment proposes a method for temperature control load aggregation to participate in market regulation considering an incentive mechanism, establishes a temperature control load aggregation model, aggregates dispersed temperature control loads to form an aggregate of a certain scale; designs an incentive mechanism, and gives corresponding incentives based on the participation of the temperature control load aggregate in market transactions; formulates a market transaction strategy, determines the market transaction behavior of the temperature control load aggregate based on market prices, load demand and other factors, implements market transactions, and allows the temperature control load aggregate to participate in electricity market transactions.

[0134] The contents involved in the above embodiment are described below in conjunction with a preferred embodiment.

[0135] Assume that the temperature in a certain place continues to rise in August, resulting in a continuous increase in the electricity load of residents, which increases the pressure on the power company to supply electricity. In order to ensure the safe and stable operation of the power system, the power company needs to purchase demand-side response resources from the load aggregator. Now assume that 1,000 households participate in the aggregator's demand-side response. Among them, the basic parameters of the air conditioning load are shown in Table 1, and the temperature settings are shown in Table 2:

[0136] Table 1 Basic parameters of air conditioning load

[0137]

[0138] Table 2 Temperature settings

[0139]

[0140] like Figure 5 The figure shows a schematic diagram of the change of air-conditioning power with temperature provided by an embodiment of the present invention. The figure extracts 1000 groups of air-conditioning load data to respond under the action of an excitation signal. The rated power of each air-conditioner is set to 2kW. The response degree of the air-conditioning aggregate power demand side and the change of aggregate power under different control temperatures (0.2-0.6°C) are compared, and the response degree of the air-conditioning aggregate power is shown. When the set temperature of all air-conditioners is increased by an average of +0.2°C, +0.4°C, and +0.6°C, the response degree of the air-conditioning aggregate power is approximately 55%, 75%, and 80%, respectively, indicating that as the increased temperature increases, the response degree gradually increases; however, as the increased temperature continues to increase, the user comfort decreases, and the increasing trend of the user response degree gradually decreases.

[0141] from Figure 6It can be seen from the figure that, through the traditional regulation potential analysis method, the air conditioning load aggregate gradually stabilizes after receiving the regulation command after a period of violent fluctuations. This is because the traditional method simply adjusts the set temperature of all air conditioning loads at the same time. For a period of time, the number of air conditioners in operation decreases rapidly. Later, as the indoor temperature rises, a large number of air conditioners are turned back to operation, and the aggregate power rises rapidly. After a period of repeated fluctuations, the number of air conditioners turned on tends to stabilize. The air conditioning load regulation potential analysis method proposed in this paper, which takes into account user comfort, can effectively avoid the problem of load fluctuation after power reduction by accurately selecting air conditioning loads that are more suitable for regulation requirements.

[0142] from Figure 7 It can be seen that under the condition of ensuring the maximum profit of the aggregator, the control method of this method will reduce the electricity cost of residents by less than the traditional fixed temperature control method, which will increase the residents' response enthusiasm and participate in the incentive response more. The adjustable aggregate air conditioning power will also increase. Because this method considers the user's comfort more than the traditional method, the traditional method ignores this factor, and the user's comfort decreases. Even if the incentive price increases, the user is unwilling to participate in the incentive response. However, this method allows users to adjust the set temperature independently according to the relationship between the incentive price and the set temperature, which maximizes the user's comfort. Figure 8 It can be seen that the user comfort of this method is much greater than that of the traditional method.

[0143] In summary, compared with the traditional method, this method can effectively avoid the problem of load fluctuation after power reduction by accurately selecting the air-conditioning load that is more suitable for the control requirements; this method allows users to adjust the set temperature independently according to the relationship between the incentive price and the set temperature, thereby maximizing the user's comfort;

[0144] The present invention improves the enthusiasm of temperature control loads to participate in market transactions through an incentive mechanism, establishes an aggregation model to reduce the cost and difficulty of temperature control loads participating in market transactions, formulates market transaction strategies, and realizes the effective connection between temperature control load aggregates and the power market;

[0145] The present invention increases the user's willingness to participate in demand response by adding an incentive mechanism to allow users to choose between comfort and price incentives, performs aggregate control on users with different usage habits, formulates market trading strategies, and maximizes the profits of load aggregators and users.

[0146] Embodiment 2: This embodiment provides a temperature control load aggregation market regulation device considering an incentive mechanism, including:

[0147] The reduction module is used to send reduction instructions to users, so that users can actively reduce electricity consumption and obtain corresponding compensation prices;

[0148] A calculation module, used to calculate the aggregate power during the process of the user's active power reduction by combining the reduction instruction with a pre-built first-order ETP model of the air conditioning load;

[0149] The trading module is used to trade the reduced power with the power market to obtain the aggregator's profit, where the aggregator's profit is calculated by the aggregate power and the compensation price;

[0150] The planning module is used to re-formulate the reduction plan based on the aggregator's revenue and continue to send reduction instructions to encourage users to reduce electricity for the next transaction.

[0151] The specific functional implementation of each of the above modules can be found in the relevant contents of the method in Example 1 and will not be elaborated here.

[0152] Embodiment 3, this embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the methods described in Embodiment 1 are implemented.

[0153] Embodiment 4: This embodiment provides a computer device, including:

[0154] Memory, for storing computer programs / instructions;

[0155] A processor is used to execute the computer program / instructions to implement the steps of any method described in Example 1.

[0156] Embodiment 5: This embodiment provides a computer program product, including a computer program / instruction, which implements the steps of any method described in Embodiment 1 when executed by a processor.

[0157] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

[0158] It should be understood by those skilled in the art that the embodiments of the present disclosure may be provided as methods, systems or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0159] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0160] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0161] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure rather than to limit its protection scope. Although the present disclosure has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that after reading the present disclosure, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the invention, but these changes, modifications or equivalent substitutions are all within the protection scope of the disclosed claims to be approved.

Claims

1. A method for temperature control load aggregation market regulation considering incentive mechanism, characterized in that: For aggregators, including: Send reduction instructions to users, so that users can actively reduce electricity consumption and obtain corresponding compensation prices; By using the reduction instruction and combining the pre-built first-order ETP model of air conditioning load, the aggregate power in the process of user's active reduction of power is calculated; Obtain aggregator revenue by trading the reduced power in the power market, where the aggregator revenue is calculated based on aggregate power and compensation price; Based on the aggregator's revenue, the reduction plan is re-formulated and reduction instructions are continued to be sent to encourage users to reduce electricity for the next transaction.

2. The method for temperature control load aggregation market regulation considering incentive mechanism according to claim 1 is characterized in that: The sending of the reduction instruction to the user so that the user actively reduces the power consumption and obtains the corresponding compensation price includes: Send reduction instructions, including upper limit of air conditioning set temperature and lower limit , allowing users to actively reduce electricity consumption and provide feedback on the actual adjustment of the air conditioning set temperature ; The compensation price is calculated by the actual adjustment of the air conditioner set temperature and the set temperature adjustment. The formula is as follows: （1）； In the formula, Set the actual temperature adjustment for the air conditioner; To compensate for the price; and To compensate for the price insensitive zone threshold and the saturation zone threshold; is the slope of the linear response area; Set the maximum temperature adjustment for the air conditioner. .

3. The method for temperature control load aggregation market regulation considering incentive mechanism according to claim 2 is characterized in that: The calculation of the aggregate power during the user's active power reduction process by combining the reduction instruction with a pre-built first-order ETP model of the air conditioning load includes: The first-order ETP model of temperature control load is established, and the formula is as follows: （2）； In the formula, is the indoor temperature at time t+1; is the thermal resistance of the indoor air; is the heat capacity of the indoor air; is the temperature outside the building; is the indoor air temperature; is the actual power of the air conditioner at time t; in, The calculation formula is as follows: （3）； In the formula, is the actual power of the air conditioner at time t; is the working status of the air conditioner at time t; The rated power of the air conditioner in cooling state; is the air conditioning energy efficiency ratio; The working state of a single air conditioning load at time t+1 is calculated by the reduction instruction. , the formula is as follows: （4）； In the formula, and is the working state of the air conditioner at time t+1 and time t, 0 means the air conditioner stops cooling and is in a power-off state, 1 means the air conditioner is cooling and is in a working state; wherein, the upper limit of the air conditioner set temperature and lower limit , and the air conditioning set temperature The relationship is as follows: （5）； In the formula, is the temperature dead zone width of the air conditioner; By solving equations (2) and (4), we can get the startup cycle: and downtime cycles The formula is as follows: （8）； （9）； Calculate the aggregate power of N air conditioners at time t using the following formula: （10）； In the formula, is the aggregated total power of the air conditioning load at time t; For the Rated power consumption of the air conditioner; is the number of air conditioning loads participating in the aggregation; For the The duty cycle of the air conditioner load is as follows: （11）。 4. The method for temperature control load aggregation market regulation considering incentive mechanism according to claim 3 is characterized in that: The aggregator's profit is calculated by the aggregate power and the compensation price, and the formula is as follows: （12）； in, is the net revenue of the load aggregator; tariffs for electricity sold to the grid for aggregators; is the dispatch cost of the aggregator.

5. The method for temperature control load aggregation and market regulation considering incentive mechanism according to claim 4 is characterized in that: The reduction plan is re-formulated according to the aggregator's revenue, and reduction instructions are continuously sent to encourage users to reduce electricity for the next transaction, including: The objective function is established to maximize the aggregator's profit and the planned output is calculated. The formula is as follows: （14）； in, It is the on-grid time-of-use electricity price given by the power department; Is an aggregator Planned output at time t; is the aggregator revenue; T is each time in a day; n is the number of aggregators; According to aggregators Planned output at time t , formulate a reduction plan, and continue to send reduction instructions to encourage users to reduce electricity for the next transaction.

6. The method for temperature control load aggregation and market regulation considering incentive mechanism according to claim 5 is characterized in that: The aggregator Planned output at time t The constraints are as follows: （15）； （16）； （17）； in, Is an aggregator Predict the output value at time t; Is an aggregator The difference between the output at time t and the predicted output.

7. The method for temperature control load aggregation and market regulation considering incentive mechanism according to claim 6 is characterized in that: The method further includes: establishing an objective function by minimizing the deviation between the actual output and the planned output, and calculating the planned output with the minimum deviation, the formula is as follows: （18）； It is the deviation between the actual output and the planned output in one hour; Is an aggregator The actual output at time t.

8. A temperature control load aggregation market regulation device considering incentive mechanism, characterized in that: include: The reduction module is used to send reduction instructions to users, so that users can actively reduce electricity consumption and obtain corresponding compensation prices; A calculation module, used to calculate the aggregate power during the process of the user's active power reduction by combining the reduction instruction with a pre-built first-order ETP model of the air conditioning load; The trading module is used to trade the reduced power with the power market to obtain the aggregator's profit, where the aggregator's profit is calculated by the aggregate power and the compensation price; The planning module is used to re-formulate the reduction plan based on the aggregator's revenue and continue to send reduction instructions to encourage users to reduce electricity for the next transaction.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.

10. A computer device, characterized in that: include: Memory, for storing computer programs / instructions; A processor, configured to execute the computer program / instructions to implement the steps of the method according to any one of claims 1 to 7.

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