CN115566694A - Temperature control load distributed response power grid frequency adjustment method - Google Patents

Temperature control load distributed response power grid frequency adjustment method Download PDF

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CN115566694A
CN115566694A CN202211252488.8A CN202211252488A CN115566694A CN 115566694 A CN115566694 A CN 115566694A CN 202211252488 A CN202211252488 A CN 202211252488A CN 115566694 A CN115566694 A CN 115566694A
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frequency
temperature
temperature control
control load
load
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刘辉
吴晓鸣
谢海敏
汪旎
马斯宇
黄立冬
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Guangxi University
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Guangxi University
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58—The condition being electrical
    • H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Control Of Temperature (AREA)

Abstract

The invention discloses a method for adjusting the frequency of a temperature control load distributed response power grid, which comprises the following steps: 1) Establishing an equivalent thermal parameter model of a temperature control load; 2) Acquiring parameters such as indoor temperature, environment temperature, set temperature, running power, switching state, real-time frequency and frequency change rate and the like, and performing frequency modulation selection judgment to enter step 3) or step 4); 3) Introducing temperature control load temperature offset parameters, establishing a model of the temperature control load temperature offset parameters and the trigger frequency, and comparing the real-time frequency with the trigger frequency to obtain whether to participate in adjustment; 4) Expressing the relation between the frequency change rate threshold and the frequency offset by using an elliptic function curve model, comparing the relation with the real-time frequency change rate, and judging whether to participate in adjustment or not by combining a trigger frequency interval; 5) And adjusting the on-off state of the temperature control load according to the control instructions obtained in the step 3) and the step 4) to realize frequency modulation. The invention realizes the primary frequency modulation of the temperature control load auxiliary power grid, and improves the frequency quality of the power grid and the economy of the frequency modulation of the power grid.

Description

Temperature control load distributed response power grid frequency adjustment method
Technical Field
The invention relates to the technical field of frequency response adjustment participated by loads on a power grid demand side, in particular to a method for adjusting the frequency of a temperature control load distributed response power grid.
Background
At present, along with the development of economic society, resource and environmental problems are increasingly prominent, environmental protection is advocated, and the concept of vigorously developing new energy is deeply concentrated on people. However, the continuous penetration of new energy brings great uncertainty and unpredictability to the power grid, and great challenges are caused to the stable operation of the power grid. In the context of smart grids, demand response becomes an important form of mitigating grid supply-demand balance. Meanwhile, the temperature control load is used as an excellent demand response resource to attract the attention of a plurality of researchers, and a large number of researches show that the reasonable temperature control load regulation and control can effectively relieve the problem of unbalanced supply and demand, improve the comprehensive operation efficiency of the power system and realize the optimal allocation of resources.
Temperature controlled loads, such as air conditioners, refrigerators, water heaters, etc., are an excellent demand side response resource. Has the following advantages: 1) The heat inertia is good, so that the influence of the transient on-off control on the normal use of the heat exchanger is small; 2) The response speed is high, and the second-level response can be achieved; 3) The method is used as an adjusting resource to participate in power grid adjustment on a large scale, and has the advantages of low cost, large volume and considerable benefit. However, compared with the conventional generator set, the temperature control load distribution is dispersed, the difference between individuals is large, and meanwhile, as a service appliance, the service appliance has to meet the use comfort requirement of a user.
Therefore, how to reasonably complete the temperature control load decentralized control and simultaneously complete the power grid frequency regulation requirement and the user comfort requirement is a problem to be solved urgently at present.
Disclosure of Invention
In order to overcome the defects in the existing temperature control load decentralized control strategy, the invention provides a method for adjusting the frequency of a temperature control load decentralized response power grid, which can fully consider the indoor temperature, the real-time frequency and the frequency change rate, participate in the frequency adjustment of the power grid on the premise of ensuring that the comfort of a user is not influenced, reduce the severe fluctuation of the frequency and effectively inhibit the overshoot phenomenon possibly existing in the frequency modulation process of the temperature control load decentralized response.
In order to realize the purpose, the invention adopts the technical scheme that:
a method for temperature control load distributed response power grid frequency adjustment comprises the following steps:
1) Establishing an equivalent thermal parameter model of the temperature control load to obtain the relation among the indoor temperature and power of the temperature control load, the heating (cooling) capacity and the like;
2) Acquiring parameters of indoor temperature, ambient temperature, set temperature, running power, switching state, real-time frequency and frequency change rate in real time, and judging whether the indoor temperature is within an allowable temperature range or not, wherein temperature control loads with overhigh or overlow temperature do not participate in frequency modulation; the temperature control load with the temperature within the allowable temperature range is larger than the frequency dead zone delta f in frequency deviation db And the frequency change rate is greater than 0 or the frequency offset is less than-deltaf db And under the condition that the frequency change rate is less than 0, entering step 3), otherwise, entering step 4);
3) Introducing temperature offset parameters of the temperature control load, establishing a model of the temperature offset parameters and the trigger frequency, respectively obtaining a closing trigger frequency value when the corresponding temperature control load is in an on state and an opening trigger frequency value when the temperature control load is in an off state, comparing the real-time frequency with the trigger frequency value, judging whether to participate in adjustment, if so, entering the step 5), and if not, returning to the step 2);
4) Expressing the relation between the frequency change rate threshold and the frequency offset by using an elliptic function curve model, comparing the frequency change rate threshold obtained by using the elliptic function curve model according to the frequency offset with the real-time frequency change rate, judging whether to participate in adjustment or not by combining a temperature control load trigger frequency interval, if so, entering the step 5), and if not, returning to the step 2);
5) Adjusting the on-off state of the temperature control load according to the control instructions obtained in the step 3) and the step 4), and delaying the delay period T delay And then judging whether to participate in the adjustment again, if so, returning to the step 2), and if not, finishing the adjustment.
The relation of the equivalent thermal parameter model of the temperature control load in the step 1) is as follows:
Figure BDA0003888177110000031
wherein T (k) is the indoor temperature at the moment k; Δ t is the time step; c is equivalent heat capacity; r is equivalent thermal resistance; t is out (k) Is the ambient temperature at time k; m (k) is the switching state of the temperature control load at the moment k, 1 is taken as on, and 0 is taken as off; q is temperature control load heating/cooling capacity, and the relational expression of Q and the temperature control load power is shown as the expression (2):
Figure BDA0003888177110000032
COP is energy efficiency ratio, which expresses the ratio of heating capacity (or refrigerating capacity) to temperature control load power; p rate Is a temperature controlled load power.
m (k) determines the state in the heating type temperature control load according to the rule in the following formula (3), and the switching state rule is opposite for the cooling equipment;
Figure BDA0003888177110000033
in the formula T set Setting the temperature, delta, for temperature-controlled loads db Is an allowable temperature deviation value.
And 2) judging that the temperature in the temperature control load chamber is within an allowable temperature range, wherein the relation is as follows:
T min ≤T(k)≤T max (4)
in the formula:
T min ＝T set -δ db
T max ＝T set +δ db
in the above formula, T min And T max Respectively, the minimum and maximum temperatures allowed to be reached by the temperature controlled load.
The relational expressions of the frequency offset and the frequency change rate in the step 2) are respectively as follows:
Δf(k)＝f(k)-f ref (5)
Figure BDA0003888177110000041
where Δ f (k) is the deviation of the frequency at time k, Δ f' (k) is the rate of change of the frequency at time k, f (k) is the frequency at time k, and f ref Is the nominal frequency.
Step 3) defining temperature control load temperature offset parameters, wherein the relational expression is as follows:
Figure BDA0003888177110000042
wherein when T (k) = T min Taking S (k) to the maximum value, S (k) max =1; when T (k) = T max Taking S (k) to the minimum value, S (k) min ＝0。
The relational expression between the temperature control load temperature offset parameter in the step 3) and the trigger frequency is as follows:
Figure BDA0003888177110000043
Figure BDA0003888177110000044
in the formula (I), the compound is shown in the specification,
Figure BDA0003888177110000045
in order to turn off the triggering frequency,
Figure BDA0003888177110000046
to turn on the trigger frequency, f max And f min The maximum frequency and the minimum frequency of the primary frequency modulation of the system are respectively.
In the step 4), an elliptic function curve model is used for representing a relation between the frequency change rate threshold and the frequency offset, and the relation is as follows:
Figure BDA0003888177110000047
Figure BDA0003888177110000048
in the formula
a＝|Δf max min (k)|
b＝|Δf′ max min (k)|
In the formula,. DELTA.f' on (k) And Δ f' off (k) Respectively representing the threshold of the rate of change of the opening frequency and the threshold of the rate of change of the closing frequency, Δ f, calculated from an elliptic function curve max min (k)、Δf′ max min (k) The maximum (small) frequency deviation and the maximum (small) frequency change rate of the time from the moment when the frequency nearest to the moment k exceeds the dead zone to the moment k, when the frequency delta f (k)>Δf db Then the maximum frequency deviation, the maximum frequency rate of change, when the frequency Δ f (k)<-Δf db Then the minimum frequency deviation, the minimum rate of change of frequency.
The temperature control load triggering frequency relation in the step 4) is as follows:
Figure BDA0003888177110000051
Figure BDA0003888177110000052
in the above-mentioned formula, the compound has the following formula,
Figure BDA0003888177110000053
and
Figure BDA0003888177110000054
respectively representing the closing trigger frequency and the opening trigger frequency after k time transformation, wherein the specific expression of f' is as follows:
Figure BDA0003888177110000055
the temperature control load triggering frequency interval relation in the step 4) is as follows:
Figure BDA0003888177110000056
Figure BDA0003888177110000057
in the above-mentioned formula, the compound has the following formula,
Figure BDA0003888177110000058
and
Figure BDA0003888177110000059
respectively represent the maximum and minimum values of the closing trigger frequency at the moment k,
Figure BDA00038881771100000510
and
Figure BDA00038881771100000511
the maximum value and the minimum value of the starting trigger frequency at the moment k are respectively represented, and xi is a set threshold range coefficient.
The step 5) is specifically carried out as follows:
adjusting the on-off state of the temperature control load according to the control instructions obtained in the step 3) and the step 4), thereby realizing frequency adjustment, and delaying T after the temperature control load performs adjustment delay And then judging whether to participate in frequency adjustment, if so, returning to the step 2), and if not, finishing the adjustment.
Has the beneficial effects that: the method for adjusting the frequency of the temperature control load distributed response power grid can fully consider the temperature comfort level, the real-time frequency and the frequency change rate of the temperature control load, realize frequency adjustment on the premise of ensuring the temperature comfort level, simultaneously prevent overshoot, and realize the distributed autonomous response participation of large-scale temperature control load on the demand side in frequency adjustment.
Drawings
Fig. 1 is a general flow chart of the present invention.
Fig. 2 is a detailed flow chart of the distributed response grid frequency adjustment of the temperature controlled load of the present invention.
Detailed Description
The present invention will be described in further detail below with reference to the accompanying drawings.
Fig. 1 and fig. 2 show a method for adjusting frequency of a temperature-controlled load distributed response power grid, and a specific implementation process is shown in fig. 2, and includes the following detailed steps:
the method comprises the following steps: and establishing an equivalent thermal parameter model of the temperature control load to obtain the relation among the indoor temperature and power of the temperature control load, the heating (cooling) capacity and the like. The relation of the equivalent thermal parameter model of the temperature control load is as follows:
Figure BDA0003888177110000061
wherein T (k) is the indoor temperature at the moment k; Δ t is the time step; c is equivalent heat capacity; r is equivalent thermal resistance; t is out (k) Is the ambient temperature at time k; m (k) is the switching state of the temperature control load at the moment k, 1 is taken as on, and 0 is taken as off; q is the equivalent thermal ratio.
Wherein, the relation between the heating (cooling) quantity of the medium-temperature control load and the power of the temperature control load in the formula (1) is as follows:
Figure BDA0003888177110000062
COP is energy efficiency ratio, which expresses the ratio of heating capacity (or refrigerating capacity) to temperature control load power; p rate Is a temperature controlled load power.
In addition, a local hysteresis temperature control with dead zone is integrated into the model, and the control variable switching state m (k) is determined in the heating type temperature control load according to the rule in the following expression (3), and the switching state rule is opposite for the cooling device.
Figure BDA0003888177110000071
In the formula T set Setting the temperature, delta, for temperature-controlled loads db Is an allowable temperature deviation value.
Step two: acquiring parameters of indoor temperature, ambient temperature, set temperature, running power, switching state, real-time frequency and frequency change rate in real time, and judging whether the indoor temperature is within an allowable temperature range or not, wherein temperature control loads with overhigh or overlow temperature do not participate in frequency modulation; the temperature control load with the temperature within the allowable temperature range is larger than the frequency dead zone delta f in frequency deviation db And the frequency change rate is greater than 0 or the frequency offset is less than-Deltaf db And if the frequency change rate is less than 0, entering the third step, otherwise, entering the fourth step.
Wherein, the indoor temperature of control by temperature change load is in permitting the temperature range, and its relational expression is:
T min ≤T(k)≤T max (4)
in the formula:
T min ＝T set -δ db
T max ＝T set +δ db
in the above formula, T min And T max Respectively, the minimum and maximum temperatures allowed to be reached by the temperature controlled load.
Further, the relationship between the frequency offset amount and the frequency change rate is:
Δf(k)＝f(k)-f ref (5)
Figure BDA0003888177110000072
where Δ f (k) is the deviation of the frequency at time k, Δ f' (k) is the rate of change of the frequency at time k, f (k) is the frequency at time k, and f ref Is the nominal frequency. If Δ f (k)>Δf db And Δ f' (k) > 0, or Δ f (k)<-Δf db And Δ f' (k) < 0,at this time, go to step three, otherwise if Δ f (k)>Δf db And Δ f' (k) < 0, or Δ f<-Δf db And Δ f' (k) > 0, proceed to step four.
Step three: introducing temperature control load temperature offset parameters and establishing a model of the triggering frequency, respectively obtaining a closing triggering frequency value when the corresponding temperature control load is in an on state and an opening triggering frequency value when the temperature control load is in an off state, comparing the real-time frequency with the triggering frequency value, judging whether to participate in adjustment, if so, entering the fifth step, and otherwise, returning to the second step.
The temperature control load temperature offset parameter S has the following relation:
Figure BDA0003888177110000081
wherein when T (k) = T min Taking S (k) to the maximum value, S (k) max =1; when T (k) = T max Taking S (k) to the minimum value, S (k) min ＝0。
In addition, the relation between the temperature offset parameter S of the temperature control load and the trigger frequency is as follows:
Figure BDA0003888177110000082
Figure BDA0003888177110000083
in the formula (I), the compound is shown in the specification,
Figure BDA0003888177110000084
in order to turn off the triggering frequency,
Figure BDA0003888177110000085
to turn on the trigger frequency, f max And f min The maximum frequency and the minimum frequency of the primary frequency modulation of the system are respectively.
According to the equations (8) and (9), when the temperature-controlled load is in an on stateWhen it is satisfied
Figure BDA0003888177110000086
Or when the temperature control load is in an off state
Figure BDA0003888177110000087
And entering the step five, otherwise, returning to the step two.
Step four: and expressing the relation between the frequency change rate threshold and the frequency offset by using an elliptic function curve model, comparing the frequency change rate threshold obtained by using the elliptic function curve model according to the frequency offset with the real-time frequency change rate, and judging whether to participate in adjustment or not by combining a temperature control load trigger frequency interval, if so, entering a fifth step, and otherwise, entering a second step.
Wherein, the elliptic function curve model represents the relation between the frequency change rate threshold and the frequency offset as follows:
Figure BDA0003888177110000091
Figure BDA0003888177110000092
in the formula
a＝|Δf max min (k)|
b＝|Δf′ max min (k)|
In the formula,. DELTA.f' on (k) And Δ f' off (k) Respectively representing an opening frequency change rate threshold value and a closing frequency change rate threshold value, delta f, calculated from an elliptic function curve max min (k)、Δf′ max min (k) The maximum (small) frequency deviation and the maximum (small) frequency change rate (when frequency Δ f (k)) in the period from the time when the frequency nearest to the time k passes the dead zone to the time k>Δf db Then the maximum frequency deviation, the maximum frequency rate of change, when the frequency Δ f (k)<-Δf db Then the minimum frequency deviation, minimum rate of change of frequency).
For formula (10), when inIf Δ f ' (k) < Δ f ' when the temperature controlled load is ON ' off (k) Or, for equation (11), if Δ f ' (k) > Δ f ' when the temperature controlled load is in the off state ' on (k) Then the temperature control load triggering frequency judgment is entered.
In addition, the temperature control load triggering frequency relation is as follows:
Figure BDA0003888177110000093
Figure BDA0003888177110000094
in the above-mentioned formula, the compound of formula,
Figure BDA0003888177110000095
and
Figure BDA0003888177110000096
respectively representing the closing trigger frequency and the opening trigger frequency after k time transformation, wherein the specific expression of f' is as follows:
Figure BDA0003888177110000097
and (3) comparing the trigger frequency of the temperature control load obtained by calculation according to the formula (13) and the formula (14) with the corresponding trigger frequency interval at the moment, and further obtaining a control command of the temperature control load.
Meanwhile, the temperature control load triggering frequency interval relation is as follows:
Figure BDA0003888177110000101
Figure BDA0003888177110000102
in the formula (I), the compound is shown in the specification,
Figure BDA0003888177110000103
and
Figure BDA0003888177110000104
respectively represent the maximum and minimum values of the closing trigger frequency at the moment k,
Figure BDA0003888177110000105
and
Figure BDA0003888177110000106
the maximum value and the minimum value of the starting trigger frequency at the moment k are respectively represented, and xi is a set threshold range coefficient.
If the temperature controlled load is in an on state, the frequency of the off trigger
Figure BDA0003888177110000107
The trigger frequency range obtained in the formula (15)
Figure BDA0003888177110000108
Within the range, the temperature-controlled load is turned off, and if the temperature-controlled load is in the off state, the trigger frequency is turned on
Figure BDA0003888177110000109
The trigger frequency range obtained in the formula (16)
Figure BDA00038881771100001010
And C, opening the temperature control load in the range, entering the step five to perform adjustment if the conditions are met, and otherwise, returning to the step two.
Step five: adjusting the on-off state of the temperature control load according to the control instruction obtained in the third step and the fourth step, thereby realizing frequency adjustment, and delaying the delay period T after the temperature control load performs adjustment delay T delay And then judging whether to participate in frequency adjustment, if so, returning to the step two, and if not, finishing the adjustment.
In summary, the invention firstly establishes an equivalent thermal parameter model of the temperature control load, performs frequency modulation selection judgment by using the acquired parameters such as the indoor temperature, the ambient temperature, the set temperature, the operating power, the switching state, the real-time frequency, the frequency change rate and the like, then introduces a temperature offset parameter of the temperature control load, establishes a model of the trigger frequency, obtains whether to participate in the adjustment according to the comparison between the real-time frequency and the trigger frequency, represents the relationship between the frequency change rate threshold and the frequency offset by using an elliptic function curve model, compares the relationship with the real-time frequency change rate, and judges whether to participate in the adjustment by combining with the trigger frequency interval; and finally, adjusting the on-off state of the temperature control load through the obtained control instruction so as to achieve the purpose of frequency modulation. According to the invention, three aspects of temperature comfort, real-time frequency, frequency change rate and the like are fully considered, the temperature comfort of a user is fully considered without paying communication cost, the temperature control load is distributed and autonomously responded to the frequency adjustment of the power grid, meanwhile, the overshoot phenomenon possibly existing in the frequency adjustment process is effectively inhibited, and the frequency quality of the power grid can be greatly improved.
The above description is only a preferred embodiment of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention, and such modifications and adaptations are intended to be within the scope of the invention.

Claims (10)

1. A method for adjusting the frequency of a temperature control load distributed response power grid is characterized in that: the method comprises the following steps:
1) Establishing an equivalent thermal parameter model of the temperature control load to obtain the relationship among the indoor temperature and power of the temperature control load, the heating (cooling) capacity and the like;
2) Acquiring parameters of indoor temperature, ambient temperature, set temperature, running power, switching state, real-time frequency and frequency change rate in real time, and judging whether the indoor temperature is within an allowable temperature range or not, wherein temperature control loads with overhigh or overlow temperature do not participate in frequency modulation; the temperature control load with the temperature within the allowable temperature range is larger than the frequency dead zone delta f in the frequency deviation amount db And the frequency change rate is greater than 0 or the frequency offset is less than-Deltaf db And under the condition that the frequency change rate is less than 0, the step 3) is carried out, otherwise, the step 4) is carried out;
3) Introducing temperature offset parameters of the temperature control load, establishing a model of the temperature offset parameters and the trigger frequency, respectively obtaining a closing trigger frequency value when the corresponding temperature control load is in an on state and an opening trigger frequency value when the temperature control load is in an off state, comparing the real-time frequency with the trigger frequency value, judging whether to participate in adjustment, if so, entering the step 5), and if not, returning to the step 2);
4) Expressing the relation between the frequency change rate threshold and the frequency offset by using an elliptic function curve model, comparing the frequency change rate threshold obtained by using the elliptic function curve model according to the frequency offset with the real-time frequency change rate, judging whether to participate in adjustment or not by combining a temperature control load trigger frequency interval, if so, entering the step 5), and if not, returning to the step 2);
5) Adjusting the on-off state of the temperature control load according to the control instructions obtained in the step 3) and the step 4), and delaying the delay period T delay And then judging whether to participate in the adjustment again, if so, returning to the step 2), and if not, finishing the adjustment.
2. The method for decentralized response to temperature controlled load power grid frequency regulation according to claim 1, wherein the equivalent thermal parameter model of the temperature controlled load in step 1) has the relation:
Figure FDA0003888177100000021
wherein T (k) is the indoor temperature at the moment k; Δ t is the time step; c is equivalent heat capacity; r is equivalent thermal resistance; t is out (k) Is the ambient temperature at time k; m (k) is the switching state of the temperature control load at the moment k, 1 is taken as on, and 0 is taken as off; q is temperature control load heating/cooling capacity, and the relational expression of the Q and the temperature control load power is shown as the expression (2):
Figure FDA0003888177100000022
COP is the energy efficiency ratio and represents heatingThe ratio of the amount (or refrigeration) to the temperature controlled load power; p rate Is a temperature controlled load power.
m (k) determines the state in the heating type temperature control load according to the following formula (3) wherein the switching state rules are opposite for the cooling device;
Figure FDA0003888177100000023
in the formula T set Setting the temperature, delta, for temperature-controlled loads db Is an allowable temperature deviation value.
3. The method for decentralized response of temperature controlled load to frequency regulation of power grid according to claim 1, wherein step 2) determines that the temperature in the temperature controlled load room is within the allowable temperature range according to the following relation:
T min ≤T(k)≤T max (4)
in the formula:
T min ＝T set -δ db
T max ＝T set +δ db
in the above formula, T min And T max Respectively, the minimum and maximum temperatures allowed to be reached by the temperature controlled load.
4. The method for decentralized response to power grid frequency regulation according to claim 1, wherein the relationship between the frequency offset and the frequency change rate in step 2) is:
Δf(k)＝f(k)-f ref (5)
Figure FDA0003888177100000031
where Δ f (k) is the deviation of the frequency at time k, Δ f' (k) is the rate of change of the frequency at time k, f (k) is the frequency at time k, and f ref Is the nominal frequency.
5. The method of claim 1, wherein step 3) defines a temperature controlled load temperature offset parameter having the relationship:
Figure FDA0003888177100000032
wherein when T (k) = T min Taking S (k) to the maximum value, S (k) max =1; when T (k) = T max Taking S (k) to the minimum value, S (k) min ＝0。
6. The method for decentralized response to power grid frequency regulation of temperature controlled loads according to claim 1, wherein the relationship between the temperature controlled load temperature offset parameter of step 3) and the trigger frequency is:
Figure FDA0003888177100000033
Figure FDA0003888177100000034
in the formula (I), the compound is shown in the specification,
Figure FDA0003888177100000035
in order to turn off the triggering frequency,
Figure FDA0003888177100000036
to turn on the trigger frequency, f max And f min The maximum frequency and the minimum frequency of the primary frequency modulation of the system are respectively.
7. The method for decentralized response to temperature controlled load frequency regulation according to claim 1, wherein step 4) represents the frequency change rate threshold value versus frequency offset with an elliptic function curve model as follows:
Figure FDA0003888177100000037
Figure FDA0003888177100000041
in the formula
a＝|Δf maxmin (k)|
b＝|Δf' maxmin (k)|
In the formula,. DELTA.f' on (k) And Δ f' off (k) Respectively representing the threshold of the rate of change of the opening frequency and the threshold of the rate of change of the closing frequency, Δ f, calculated from an elliptic function curve maxmin (k)、Δf' maxmin (k) The maximum (small) frequency deviation and the maximum (small) frequency change rate of the time from the moment when the frequency nearest to the moment k exceeds the dead zone to the moment k, when the frequency delta f (k)>Δf db The maximum frequency deviation, the maximum rate of change of frequency, when the frequency Δ f (k)<-Δf db Then the minimum frequency deviation, the minimum rate of change of frequency.
8. The method for decentralized response to power grid frequency regulation of temperature controlled loads according to claim 1, wherein the step 4) triggering frequency of the temperature controlled loads is given by the relation:
Figure FDA0003888177100000042
Figure FDA0003888177100000043
in the above-mentioned formula, the compound of formula,
Figure FDA0003888177100000044
and
Figure FDA0003888177100000045
respectively representing the closing trigger frequency and the opening trigger frequency after k time transformation, wherein the specific expression of f' is as follows:
Figure FDA0003888177100000046
9. the method for decentralized response to power grid frequency regulation of temperature controlled loads according to claim 8, wherein the step 4) triggering frequency interval of the temperature controlled loads is in the following relation:
Figure FDA0003888177100000047
Figure FDA0003888177100000048
in the above-mentioned formula, the compound of formula,
Figure FDA0003888177100000051
and
Figure FDA0003888177100000052
respectively represent the maximum and minimum values of the closing trigger frequency at the moment k,
Figure FDA0003888177100000053
and
Figure FDA0003888177100000054
the maximum value and the minimum value of the starting trigger frequency at the moment k are respectively represented, and xi is a set threshold range coefficient.
10. The method for decentralized response to temperature-controlled load frequency regulation according to claim 1, characterized in that said step 5) is carried out in particular as follows:
adjusting the on-off state of the temperature control load according to the control instructions obtained in the step 3) and the step 4), thereby realizing frequency adjustment, and delaying T after the temperature control load performs adjustment delay And then judging whether to participate in frequency adjustment, if so, returning to the step 2), and if not, finishing the adjustment.
CN202211252488.8A 2022-10-13 2022-10-13 Temperature control load distributed response power grid frequency adjustment method Pending CN115566694A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116345451A (en) * 2023-05-26 2023-06-27 电子科技大学 Operation control method and device for variable frequency temperature control load and terminal equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116345451A (en) * 2023-05-26 2023-06-27 电子科技大学 Operation control method and device for variable frequency temperature control load and terminal equipment
CN116345451B (en) * 2023-05-26 2023-08-11 电子科技大学 Operation control method and device for variable frequency temperature control load and terminal equipment

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