CN115187091A - Method for evaluating and controlling online response capability of air conditioner load - Google Patents
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Abstract
The invention discloses a method for evaluating and controlling the on-line response capability of an air conditioner load, which comprises an air conditioner load multi-communication on-line edge acquisition and control system, and a single air conditioner on-line response capability evaluation model is constructed; constructing an assessment model of the maximum adjusting capacity of the aggregated air conditioner load based on a load aggregator; and finally, providing an air conditioner load online response capacity assessment and cloud edge control coordination mechanism, and achieving assessment and control of the adjusting capacity of the air conditioner load through coordination of the cloud load aggregators and the edge acquisition and control module. The method can evaluate the real-time up-regulation and down-regulation response capability of the air conditioner load, provide support for real-time scheduling of the power grid, improve the online regulation and control level of the power grid and promote new energy consumption.
Description
Technical Field
The invention belongs to the field of power systems, and particularly relates to an air conditioner load online response capability assessment and control method.
Background
In recent years, the consumption of electric power energy is steadily increasing, and the development of renewable energy technology is accompanied by the increase of the proportion of the generated energy in the total generated energy, but the non-renewable energy power generation mode such as thermal power is still dominant, and the problems of environmental pollution, resource supply and the like are still serious. Meanwhile, the contradiction of the unbalanced development of renewable energy sources gradually emerges: the huge increase of the renewable energy consumption is not matched with the power utilization acceleration in the same period, the installed capacity of the renewable energy power generation represented by wind, light and electricity is continuously increased, the power consumption is increased far beyond the social power consumption, and the problem of consumption is further aggravated by the unbalanced development of supply and demand; and the power generation of renewable energy sources has strong fluctuation due to uncontrollable climate factors, and the stable operation and scheduling of a power grid face huge challenges under the condition that the grid-connected proportion of the renewable energy sources is higher and higher. In recent years, the air conditioner load is gradually increased, and good regulation resources are provided for power grid regulation. The method has important significance for supporting real-time dispatching of the power grid by fully excavating the online response capability of the air conditioner at the load side.
Disclosure of Invention
In order to fully excavate the on-line response capability of the air conditioner load, grasp the on-line up-regulation and down-regulation power of the air conditioner load, support the on-line scheduling requirement of a power grid and improve the stable operation level of the power grid, the invention provides an air conditioner load on-line response capability assessment and control method based on cloud edge coordination and multi-communication.
In order to achieve the above effects, the invention is realized by the following technical scheme:
the invention relates to a method for evaluating and controlling the online response capability of an air conditioner load, which comprises the following steps:
step 2, constructing an air conditioner online response capability evaluation model, and uploading a result to a cloud based on an air conditioner information multi-communication module;
step 2.1, constructing an online response capability evaluation model of a single air conditioner at the side end, evaluating loads of the single air conditioner which are adjusted up and down under different running states and different indoor temperatures, and uploading the loads to the cloud end;
step 2.2, constructing a maximum adjusting capacity evaluation model of the aggregated air conditioner load based on the load aggregators at the cloud, evaluating the maximum load of the aggregated air conditioner during up-regulation and down-regulation under different running states and different indoor temperatures, and uploading the maximum load to the cloud;
step 2.3, constructing a maximum adjusting capacity limit evaluation model of the aggregated air conditioner load based on the load aggregators at the cloud, evaluating the maximum load limit values of the aggregated air conditioner for up-adjustment and down-adjustment under different running states and different indoor temperatures, and uploading the maximum load limit values to the cloud;
and 3, providing an air conditioner load online response capability assessment and cloud side control coordination mechanism at the cloud side, collecting operation information of each air conditioner at the side end by an air conditioner load aggregator, receiving a power grid dispatching instruction, distributing excitation to each air conditioner user at the side end, acquiring the load regulation capability of each air conditioner at the side end, and responding to the power grid dispatching requirement.
The invention is further improved in that: the information collected in step 1 can be expressed as formula (1):
in the formula: x A And aggregating the air conditioner operation information matrix obtained by the aggregator. T is outi (T), (i =1,2, \8230;, N) is the outdoor temperature of air conditioner i at time T, T i (t), (i =1,2, \8230;, N) is the indoor temperature of the air conditioner i at time t,
set an upper limit, T, for the indoor temperature of air conditioner i at time T i min (T), (i =1,2, \8230;, N) sets a lower limit for the indoor temperature of the air conditioner i at time T, T i on (t),(i＝1,2,……,N)、T i off (t), (i =1,2, \8230;, N) are respectively the on and off operating periods of the air conditioner i at time t, P Ai (t), (i =1,2, \8230;, N) is the operating power at time t, δ, of the air conditioner i controlled by the load aggregator a Ai (t), (i =1,2, \8230;, N) is the operating state of the air conditioner i controlled by the load aggregator a at time t.
The invention is further improved in that: step 2.1, according to the constructed on-line response capability evaluation model of the single air conditioner, the load up-regulation capability of the air conditioner i at the time t
Load turndown capability
And (3) performing calculation, wherein the online response capability evaluation model of the single air conditioner is expressed as a formula (2) and a formula (3):
in the formula:
for load polymerizationThe load up capacity at time t of the air conditioner i controlled by the quotient a,
load turndown capability for negative i at time t, P Ai Value of load power i, delta, for an air conditioner controlled by a load factor A Ai (t) is the running state of the air conditioner i controlled by the load aggregation quotient A at the moment t, the value of 0 represents that the air conditioner is in an idle state, the value of 1 represents that the air conditioner is in a running state, and lambda i1 (t) air conditioner i controlled by load aggregator A can be continuously turned on for time lambda after switch is turned on from off at time t i2 (T) the sustainable closing time of the air conditioner i controlled by the load aggregation quotient A after the switch is switched from on to off at the moment T, delta T is the on-line response required time length, T i (T), (i =1,2, \8230;, N) is the indoor temperature of the air conditioner i at time T, T i max (T), (i =1,2, \8230;, N) sets an upper limit for the indoor temperature of the air conditioner i at time T, T i min (T), (i =1,2, \8230;, N) sets a lower limit for the indoor temperature of the air conditioner i at time T, T i on (t),(i＝1,2,……,N)、T i off (t), (i =1,2, \8230;, N) are the on and off operation periods of the air conditioner i at the time t, respectively.
The invention is further improved in that: the expression of the aggregate air conditioner load maximum adjusting capacity evaluation model based on the load aggregation quotient, which is constructed in the step 2.2, is formula (4):
in the formula:
for the maximum load up-regulation capability of the load aggregator a at time t,
for the maximum load turndown capability of the load aggregator a at time t,
up-adjustable load quantity, N, of air conditioner i controlled by load aggregation factor A at time t A1 The number of air conditioners which can adjust the load up and are controlled by the load aggregator a,
the down-adjustable load quantity, N, of the air conditioner i controlled by the load aggregation quotient A at the moment t A2 The number of air conditioners which can adjust the load downwards and are controlled by the load aggregator A.
The invention is further improved in that: the expressions of the aggregate air conditioner load capacity limit evaluation model based on the load aggregation quotient, which is constructed in the step 2.3, are formula (5) and formula (6):
in the formula:
for the maximum air conditioning load power at time t of the load aggregator a,
for the minimum air conditioning load power of the load aggregator a at time t,
up-adjustable load quantity, N, of air conditioner i controlled by load aggregation factor A at time t A1 The number of air conditioners that can adjust the load up controlled by the load aggregator a,
the down-adjustable load quantity of an air conditioner i controlled by a load aggregation quotient A at the time t, N A2 The number of air conditioners which can be adjusted down for the load controlled by the load aggregator a,
forced operating load of air conditioner i at time t, N, controlled by load aggregator A A3 For the number of air conditioners, P, in forced operation under the load aggregator A Ai Air conditioner i load power value, delta, controlled for load aggregator A Ai (t) is the running state of the air conditioner i controlled by the load aggregation quotient A at the moment t, the value of 0 represents that the air conditioner is in an idle state, the value of 1 represents that the air conditioner is in a running state, and lambda i1 And (t) the sustainable opening time of the air conditioner i controlled by the load aggregation provider A after the switch is switched from off to on at the moment t, and delta t is the online response demand time.
The invention has the beneficial effects that: the invention provides an air conditioner load multi-communication online edge acquisition and control technology, which realizes online acquisition of air conditioner operation information and real-time control of the air conditioner operation state. And then, constructing an online response capability evaluation model of a single air conditioner at the side end, and realizing effective evaluation of the maximum load quantity of the aggregation air conditioner which can be adjusted up and down based on the maximum adjustment capability evaluation model of the aggregation air conditioner load of the load aggregation quotient. Secondly, an aggregated air conditioner load capacity-saving limit evaluation model based on a load aggregator is built at the cloud, and maximum load and minimum load limit values of the aggregated air conditioner in different running states and different indoor temperatures are evaluated. And finally, providing an online response capacity assessment and cloud side control coordination mechanism of the air conditioner load, and achieving assessment and control of the adjusting capacity of the air conditioner load through coordination of the cloud side load aggregator and the side end edge acquisition and control module. The method can master the real-time load quantity of the air conditioner which can be adjusted up and down, the upper and lower limits of the air conditioner load, adjust the supporting power grid on line and improve the power grid adjusting and controlling level.
Drawings
FIG. 1 is a schematic flow diagram of the present invention.
Fig. 2 is a schematic diagram of an air conditioner load multi-communication online edge acquisition and control system.
Fig. 3 is a schematic flow chart of a cloud-edge coordination mechanism of an air-conditioning load aggregator.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, so that those skilled in the art can implement the technical solutions in reference to the description text.
As shown in fig. 1-3, the present invention is a method for evaluating and controlling an air conditioner load online response capability, the method comprising the steps of:
the air conditioner load multi-communication online edge acquisition and control system comprises a battery module, a filtering and sampling module, an air conditioner operation information analysis module, an air conditioner operation information/instruction communication module and an air conditioner operation state control module, wherein as shown in fig. 2, the battery module is an energy supply part of the whole edge acquisition and control system and is responsible for supplying power to the air conditioner load multi-communication online edge acquisition and control system; the filtering acquisition module is mainly used for acquiring load information, running state information, outdoor temperature information, indoor temperature setting values and the like of the air conditioner, millisecond acquisition of the air conditioner information can be realized, and the acquired information is shown in the following formula (1):
in the formula: x A And aggregating the air conditioner operation information matrix obtained by the aggregator. T is outi (T), (i =1,2, \8230;, N) is the outdoor temperature of air conditioner i at time T, T i (T), (i =1,2, \8230;, N) is the indoor temperature of the air conditioner i at time T, T i max (T), (i =1,2, \8230;, N) sets an upper limit to the indoor temperature of the air conditioner i at time T, T i min (T), (i =1,2, \8230;, N) sets a lower limit for the indoor temperature of the air conditioner i at time T, T i on (t),(i＝1,2,……,N)、T i off (t), (i =1,2, \8230;, N) are air conditioners i atOn and off operating periods at time t, P Ai (t), (i =1,2, \8230;, N) is the operating power of the air conditioner i controlled by the load aggregator a at the time t. Delta Ai (t), (i =1,2, \8230;, N) is the operation state of the air conditioner i controlled by the load provider a at the time t.
The air conditioner operation information analysis module is mainly used for calculating the load regulation capacity of the edge air conditioner according to information such as indoor and outdoor temperature set values, operation states and power grid instructions, and is the core of air conditioner online response capacity evaluation.
The air conditioner multi-communication module supports various communication modes such as 4G, 5G and wide-area low-power-consumption communication, meets the air conditioner communication requirements in different scenes, and provides a channel for information and instruction transmission between the air conditioner load multi-communication online edge acquisition and control system and a cloud load aggregator.
The air conditioner running state control module is mainly used for controlling the running state of the edge air conditioner according to the power grid instruction and the running condition of the air conditioner.
Step 2, constructing an air conditioner online response capability evaluation model, uploading results to a cloud based on an air conditioner multi-communication module, and specifically operating the following steps:
step 2.1, constructing an online response capability evaluation model of a single air conditioner at the side end, evaluating loads of the single air conditioner which are adjusted up and down under different running states and different indoor temperatures, and uploading the loads to the cloud end;
the expressions of the online response capability evaluation model of the single air conditioner are formula (2) and formula (3):
in the formula:
the load up capacity at time t for the air conditioner i controlled by the load aggregator a,
load turndown capability at time t, P, for an air conditioner i controlled by a load aggregator A Ai And (4) controlling the load power value of the air conditioner i by the load aggregation operator A. Delta Ai And (t) is the running state of the air conditioner i controlled by the load aggregation provider A at the moment t, the value of 0 represents that the air conditioner is in an idle state, and the value of 1 represents that the air conditioner is in a running state. Lambda [ alpha ] i1 (t) air conditioner i controlled by load aggregator A can be continuously turned on for time lambda after switch is turned on from off at time t i2 And (t) the air conditioner i controlled by the load aggregation provider A can be continuously closed for a time after the switch is switched from on to off at the time t. Δ t is the online response demand duration. T is a unit of i (T), (i =1,2, \8230;, N) is the indoor temperature of the air conditioner i at time T, T i max (T), (i =1,2, \8230;, N) sets an upper limit to the indoor temperature of the air conditioner i at time T, T i min (T), (i =1,2, \8230;, N) sets a lower limit for the indoor temperature of the air conditioner i at time T, T i on (t),(i＝1,2,……,N)、T i off (t), (i =1,2, \8230;, N) are the on and off operation periods of the air conditioner i at time t, respectively.
In an air conditioner load multi-communication online edge acquisition and control system, the load up-regulation capacity of an air conditioner i at t moment is regulated according to the expression of an online response capacity evaluation model of a single air conditioner
Capacity for load turndown
And (6) performing calculation. And if the air conditioner i controlled by the load aggregator A is in an idle state and the current SOC value is smaller than the maximum value, stopping discharging, immediately putting into a charging state, performing charging operation, and responding to the power up-regulation requirement of the power grid. And when the current running state time of the air conditioner can meet the scheduling requirement time, providing different response capabilities according to different running states.
Step 2.2, constructing a maximum adjusting capacity evaluation model of the aggregated air conditioner load based on the load aggregator, aggregating the adjustable load of the air conditioner at the cloud according to the maximum load quantity which is uploaded by the edge acquisition and control module and can be adjusted up and down, and obtaining the maximum adjusting capacity and the minimum adjusting capacity of the load aggregator at the current moment;
the expression of the aggregated air conditioner load maximum adjusting capacity evaluation model based on the load aggregators is formula (4):
in the formula:
for the maximum load up-regulation capability of the load aggregator a at time t,
for the maximum load turndown capability of the load aggregator a at time t,
up-adjustable load quantity, N, of air conditioner i controlled by load aggregation factor A at time t A1 The number of air conditioners which can adjust the load up and are controlled by the load aggregator a.
The down-adjustable load quantity of an air conditioner i controlled by a load aggregation quotient A at the time t, N A2 And controlling the number of the air conditioners which can adjust the load downwards for the load aggregator A.
Step 2.3, constructing a load aggregator-based aggregated air conditioner load maximum adjusting capacity evaluation model, calculating to obtain the maximum and minimum adjusting capacities of the load aggregator at the current moment according to the air conditioner adjusting information uploaded by the edge acquisition and control system at the cloud, and calculating the air conditioner load limit value of the load aggregator in consideration of the uncontrollable air conditioner load of forced operation;
the expression of the aggregate air conditioner load capacity limit evaluation model based on the load aggregators is formula (5) and formula (6):
in the formula:
for the maximum air conditioning load power at time t of the load aggregator a,
for the minimum air conditioning load power of the load aggregator a at time t,
up-regulation of the load quantity, N, of an air conditioner i controlled by a load aggregator A at time t A1 The number of air conditioners which can adjust the load up and are controlled by the load aggregator a.
The down-adjustable load quantity of an air conditioner i controlled by a load aggregation quotient A at the time t, N A2 The number of air conditioners which can adjust the load downwards and are controlled by the load aggregator A.
Forced operating load of air conditioner i at time t, N, controlled by load aggregator A A3 The number of air conditioners for forced operation under the load aggregator a. P Ai And controlling the load power value of the air conditioner i by the load aggregation quotient A. Delta Ai And (t) is the running state of the air conditioner i controlled by the load aggregation quotient A at the moment t, and the value of 1 represents that the air conditioner is in the running state. Lambda i1 And (t) the sustainable opening time after the switch of the air conditioner i controlled by the load aggregation provider A is switched from off to on at the moment t, and delta t is the on-line response demand time.
And 3, providing an air conditioner load online response capacity assessment and control cloud-side coordination mechanism at the cloud side, wherein as shown in fig. 3, at the side end, each air conditioner edge acquisition and calculation module acquires air conditioner operation information and calculates each air conditioner load adjustment capacity, a calculation result is uploaded to the cloud side based on the air conditioner information multi-communication module, the cloud side sends an instruction downwards according to a power grid peak regulation instruction in combination with the side end air conditioner adjustment capacity, and the edge acquisition and control module controls an air conditioner user according to the instruction and responds to the power grid scheduling requirement. The above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (5)
1. A method for evaluating and controlling the online response capability of an air conditioner load is characterized by comprising the following steps: the method comprises the following steps:
step 1, providing an air conditioner load multi-communication online edge acquisition and control system comprising a battery module, a filtering and sampling module, an air conditioner operation information analysis module, an air conditioner operation information/instruction communication module and an air conditioner operation state control module, wherein the air conditioner operation information is acquired online by the air conditioner load multi-communication online edge acquisition and control system of the air conditioner operation state control module and uploaded to an air conditioner load aggregator;
step 2, constructing an air conditioner online response capability evaluation model, and uploading a result to a cloud based on an air conditioner information multi-communication module;
step 2.1, constructing an online response capability evaluation model of a single air conditioner at the side end, evaluating loads of the single air conditioner which are adjusted up and down under different running states and different indoor temperatures, and uploading the loads to the cloud end;
step 2.2, constructing a load aggregation businessman-based aggregated air conditioner load maximum adjusting capacity evaluation model at the cloud, evaluating the maximum load quantity of the aggregated air conditioner which is adjusted up and down under different running states and different indoor temperatures, and uploading the maximum load quantity to the cloud;
step 2.3, constructing a maximum adjustment capacity limit evaluation model of the aggregated air conditioner load based on the load aggregator at the cloud, evaluating the maximum load limit values of the aggregated air conditioner which is adjusted up and down under different running states and different indoor temperatures, and uploading the maximum load limit values to the cloud;
and 3, providing an air conditioner load online response capability assessment and cloud side control coordination mechanism at the cloud side, collecting operation information of each air conditioner at the side end by an air conditioner load aggregator, receiving a power grid dispatching instruction, distributing excitation to each air conditioner user at the side end, acquiring the load regulation capability of each air conditioner at the side end, and responding to the power grid dispatching requirement.
2. The method for evaluating and controlling the on-line response capability of the air conditioner load according to claim 1, wherein: the information collected in step 1 is expressed as formula (1):
in the formula: x A And obtaining an aggregated air conditioner operation information matrix for the aggregator. T is outi (T), (i =1,2, \8230;, N) is the outdoor temperature of air conditioner i at time T, T i (t), (i =1,2, \8230;, N) is the indoor temperature of the air conditioner i at time t,
set an upper limit, T, for the indoor temperature of air conditioner i at time T i min (T), (i =1,2, \8230;, N) sets a lower limit, T, to the indoor temperature of the air conditioner i at time T i on (t),(i＝1,2,……,N)、T i off (t), (i =1,2, \8230;, N) are the on and off operating periods, P, respectively, of the air conditioner i at time t Ai (t), (i =1,2, \8230;, N) is the operating power, δ, of the air conditioner i controlled by the load aggregator a at the time t Ai (t), (i =1,2, \8230;, N) is the operating state of the air conditioner i controlled by the load aggregator a at time t.
3. According to the rightThe method for evaluating and controlling the online response capability of the air conditioner load according to claim 1, characterized by comprising the following steps: step 2.1, according to the constructed on-line response capability evaluation model of the single air conditioner, the load up-regulation capability of the air conditioner i at the time t
Capacity for load turndown
And (3) calculating, wherein the online response capability evaluation model of the single air conditioner is shown as a formula (2) and a formula (3):
in the formula:
the load up capacity at time t for the air conditioner i controlled by the load aggregator a,
load turndown capability at time t, P, for an air conditioner i controlled by a load aggregator A Ai Value of load power i, delta, of air conditioner controlled by load factor A Ai (t) is the running state of the air conditioner i controlled by the load aggregation quotient A at the moment t, the value of 0 represents that the air conditioner is in an idle state, the value of 1 represents that the air conditioner is in a running state, and lambda i1 (t) the air conditioner i controlled by the load aggregation quotient A can be continuously opened for a time lambda after the switch is switched from off to on at the moment t i2 (T) the air conditioner i controlled by the load aggregation quotient A is switched from on to off at the moment T and then can be continuously closed, delta T is the on-line response demand duration, T i (t), (i =1,2, \8230;, N) is emptyAdjusting the room temperature at time T, T i max (T), (i =1,2, \8230;, N) sets an upper limit to the indoor temperature of the air conditioner i at time T, T i min (T), (i =1,2, \8230;, N) sets a lower limit for the indoor temperature of the air conditioner i at time T, T i on (t),(i＝1,2,……,N)、T i off (t), (i =1,2, \8230;, N) are the on and off operation periods of the air conditioner i at time t, respectively.
4. The method for evaluating and controlling the on-line response capability of the air conditioner load according to claim 1, wherein: the expression of the aggregate air conditioner load maximum adjusting capacity evaluation model based on the load aggregation quotient, which is constructed in the step 2.2, is formula (4):
in the formula:
for the maximum load up-regulation capability of the load aggregator a at time t,
for the maximum load turndown capability of the load aggregator a at time t,
up-adjustable load quantity, N, of air conditioner i controlled by load aggregation factor A at time t A1 The number of air conditioners that can adjust the load up controlled by the load aggregator a,
the down-adjustable load quantity of an air conditioner i controlled by a load aggregation quotient A at the time t, N A2 And controlling the number of the air conditioners which can adjust the load downwards for the load aggregator A.
5. The method for evaluating and controlling the on-line response capability of the air conditioner load according to claim 1, wherein: the expression of the aggregate air conditioner load capacity limit evaluation model based on the load aggregation quotient, which is constructed in the step 2.3, is as follows:
in the formula:
for the maximum air conditioning load power at time t of the load aggregator a,
is the minimum air conditioning load power of the load aggregator a at time t,
up-regulation of the load quantity, N, of an air conditioner i controlled by a load aggregator A at time t A1 The number of air conditioners that can adjust the load up controlled by the load aggregator a,
the down-adjustable load quantity of an air conditioner i controlled by a load aggregation quotient A at the time t, N A2 The number of air conditioners which can be adjusted down for the load controlled by the load aggregator a,
forced operating load, N, of air conditioner i at time t controlled by load aggregator A A3 For the number of air conditioners, P, in forced operation under the load aggregator A Ai Value of load power i, delta, of air conditioner controlled by load factor A Ai (t) isThe air conditioner i controlled by the load aggregation quotient A is in the running state at the moment t, the value of 1 represents that the air conditioner is in the running state, the value of 0 represents that the air conditioner is in the idle state, and the lambda is i1 And (t) the sustainable opening time after the switch of the air conditioner i controlled by the load aggregation provider A is switched from off to on at the moment t, and delta t is the on-line response demand time.
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