CN111413870A - Layered distributed temperature control load demand response control method based on temperature extension margin - Google Patents
Layered distributed temperature control load demand response control method based on temperature extension margin Download PDFInfo
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Abstract
The invention discloses a layered distributed temperature control load demand response control method based on temperature extension margin. The invention can realize the accurate regulation and control of the temperature control load operation temperature and achieve the effect of keeping the control error smaller.
Description
Technical Field
The invention belongs to the field of temperature control load control strategies, and particularly relates to a layered distributed temperature control load demand response control method based on a temperature extension margin.
Background
In recent years, with the introduction of Demand Response (DR) in the power market, the role of resources on the demand side in providing auxiliary services for the power system and maintaining the safe and stable operation of the system is becoming more important. Meanwhile, the temperature control load has the characteristics of wide audience distribution, excellent energy storage characteristic, small influence of temporary interruption on users and the like, and is gradually widely applied in the aspects of matching with peak clipping and valley filling of a power system, stabilizing fluctuation of a tie line and the like.
In the existing research, a centralized control strategy is mostly adopted for scheduling the temperature control load at present, but the problem of communication delay caused by centralized control two-way communication is difficult to avoid in the control. In order to reduce the frequency of two-way communication, a layered distributed control method is adopted in some researches, and a central control center only transmits total target power to each park control center. However, the control strategy is to perform indiscriminate adjustment on the operating temperature interval of the temperature-controlled load group, and the adjustment mode has the risks of damaging load diversity and aggregating power fluctuation. Meanwhile, the method adopts an intelligent algorithm to optimize the temperature regulating value of the load group, the optimizing result is closely related to factors such as the selection of an initial value and the like, and the accuracy of the adjustment of the load group is not high enough.
Disclosure of Invention
The invention aims to provide a layered distributed temperature control load demand response control method based on a temperature extension margin.
The technical scheme for realizing the purpose of the invention is as follows: a layered distributed temperature control load demand response control method based on a temperature extension margin comprises the following steps:
step 2, carrying out polymerization partition of the load group according to thermodynamic parameters of the temperature control load;
step 3, distributing target power to the load in each area according to a layered distributed control strategy;
step 4, adjusting the temperature extension margin of the load individuals in each area;
and 5, verifying the consumption condition of the load group to the target power and the control error condition.
Compared with the prior art, the invention has the following remarkable advantages: (1) compared with the prior art that the operating temperature of the load group is adjusted without difference, the operating temperature range of each device can be adjusted more accurately by taking the temperature extension margin as the adjustment quantity, the control error is smaller while the target power consumption effect of the power grid is ensured, and the adverse effect of the fluctuation of the polymerization power on the safe and stable operation of the power system is avoided; (2) the temperature control load temperature extension margin is adjusted by adopting a layered distributed control strategy, the communication frequency between the central control center and the controlled park is less than that of the traditional centralized control, and the communication delay of the centralized control is relieved to a certain extent; (3) compared with the traditional method for optimizing the optimal temperature adjustment amount by adopting an intelligent algorithm, the method has the advantages of smaller calculated amount and better rapidity.
The invention is described in further detail below with reference to the accompanying drawings:
drawings
FIG. 1 is a flow chart of a hierarchical distributed temperature controlled load demand response control strategy based on a temperature extension margin.
FIG. 2 is a simulation graph of the indoor temperature of a single temperature-controlled load as a function of time.
FIG. 3 is a simulation diagram of the state of a single temperature-controlled load switch as a function of time.
Figure 4 is a graph of the remaining power for three parks using the temperature extension margin adjustment operating temperature interval method.
Figure 5 is a graph of control error for three parks using the temperature extension margin adjustment operating temperature interval method.
Figure 6 is a graph of the remaining power for three parks using the method of indiscriminately adjusting the operating temperature interval.
Figure 7 is a graph of control error for three parks using the method of indiscriminately adjusting the operating temperature interval.
Detailed Description
The problem that the diversity of the load groups is damaged due to the fact that the operating temperature interval of the whole load group is adjusted indiscriminately in centralized control is solved. The invention provides a hierarchical distributed temperature control load demand response control strategy based on a Temperature Extension Margin (TEM). A master control target of a central control center is issued to each park, and the operating temperature interval of each load in the park is finely adjusted according to the temperature extension margin. The frequency of data bidirectional communication is reduced, simultaneously, the target power consumption is completed in each park, and the diversity of load groups is better maintained. The invention verifies the effectiveness of the control strategy through simulation.
As shown in fig. 1, the method for controlling demand response of a hierarchical distributed temperature-controlled load based on a temperature extension margin according to the present invention includes the following steps:
the first order thermodynamic model of temperature control load is:
in the above formula, T is the indoor temperature, TairIs the outdoor temperature in units of DEG.C, k is the current time in units of min; the total simulation time was 1440 min; pheaterThe unit is W for rated power of the temperature control load, R and C are equivalent thermal resistance and equivalent thermal capacity respectively, the numerical values are determined in a reference document, the units are ℃/W and J/° C respectively, delta t is a time interval, the temperature control load is taken for 1min, α is the switching state of the temperature control load, and the formula is as follows:
wherein T isupUpper limit of temperature of operation for temperature-controlled load, TdownThe lower temperature limit of the temperature controlled load was given in ° c. Graphs of indoor temperature and switching state with time obtained by performing single temperature control load simulation by using Matlab are respectively shown in fig. 2 and fig. 3.
Step 2, carrying out polymerization partition of the load group according to thermodynamic parameters of the temperature control load, which specifically comprises the following steps:
according to R, C, P of different referencesheaterValues, temperature controlled loads were aggregated into populations and divided into three zones. R0.04022 deg.C/W, C10797.69322J/deg.C, PheaterDividing the temperature control load of 1200W into a park 1, and totally 100 loads; r0.02681159 deg.C/W, C16197.56041J/deg.C, PheaterDividing the temperature control load of 1800W into a park 2, and totally dividing 150 loads; r0.02413043 ℃/W, C17997.28934J/° C,Pheaterthe temperature control load of 2000W was divided into campus 3 for a total of 200 loads.
Step 3, distributing the target power to the load in each area according to a layered distributed control strategy, which specifically comprises the following steps:
the total target power which is required to be jointly consumed by the three parks and is given by the power system is PTThe target power allocated to each campus is:
in the above formula, PT_iTarget power, P, allocated for the ith controlled parkHP_iFor the power actually consumed by the load of the ith park, PHP_totalThe total power actually consumed for all parks.
Step 4, adjusting the temperature extension margin of the load individuals in each area, specifically:
the on-off states of the loads in the campus are grouped according to α of step 1, with loads α ═ 1 being the on group and loads α ═ 0 being the off group.
the temperature extension margin for the open group was:
when the power grid needs to consume redundant power, the load of the closing group is adjusted, and the upper temperature limit of the load of the closing group is adjusted
And lower limit of temperature
Are all up-regulated to a value of
When the power grid needs to supplement power, the load of the starting group is adjusted, and the upper temperature limit of the load of the starting group is
And lower limit of temperature
Are all down-regulated to a down-regulated value of
matlab software is used for simulating the process, the simulation result is compared with the simulation result in a reference document, which is adjusted according to the integral operation temperature of the load group without difference, and the consumption effect of the control strategy on the target power of the power system is analyzed; meanwhile, comparing the control errors of the two control strategies, judging whether the control errors are within 2%, if so, returning to the step 1, wherein the formula of the control errors is as follows:
in the above formula, E is the control error, PTPower distributed to load groups for the grid, PHPThe power actually consumed by the load group.
The residual power and the control error of each park, which are obtained by simulating the operation temperature adjustment of the load group by adopting a temperature extension margin layered distributed control strategy, are respectively shown in fig. 4 and 5; the remaining power and the control error of each park obtained by simulating the non-differential regulation of the operating temperature of the whole load group by adopting the layered distributed control strategy of optimally adjusting the temperature and optimizing the temperature by adopting an intelligent algorithm are respectively shown in fig. 6 and 7.
As can be seen from comparison between fig. 4 and fig. 6, the residual power is significantly greater by adopting the layered distributed control strategy for adjusting the operating temperature range of the load group without difference; as can be seen from the comparison of fig. 5 and fig. 7, the error of the undifferentiated adjustment is large; and the residual power of the layered distributed control strategy based on the temperature extension margin is less, so that the regulation and control accuracy is higher.
Claims (6)
1. A layered distributed temperature control load demand response control method based on a temperature extension margin is characterized by comprising the following steps:
step 1, establishing a monomer thermodynamic model of temperature control load;
step 2, carrying out polymerization partition of the load group according to thermodynamic parameters of the temperature control load;
step 3, distributing target power to the load in each area according to a layered distributed control strategy;
step 4, adjusting the temperature extension margin of the load individuals in each area;
and 5, verifying the consumption condition of the load group to the target power and the control error condition.
2. The method for demand response control of layered distributed temperature controlled loads based on temperature extension margin according to claim 1, wherein the process of establishing the single thermodynamic model of the temperature controlled loads in step 1 is as follows:
the first order thermodynamic model of temperature control load is:
in the above formula, T is the indoor temperature, TairIs the outdoor temperature, k is the current time, PheaterThe rated power of the temperature control load is shown, R and C are equivalent thermal resistance and equivalent thermal capacity respectively, delta t is a time interval, α is the switch state of the temperature control load, and the formula is as follows:
wherein T isupUpper limit of temperature of operation for temperature-controlled load, TdownTemperature control load operating temperature lower limit.
3. The method for demand response control of layered distributed temperature controlled loads based on temperature extension margin according to claim 1, wherein the step 2 of performing aggregation partitioning of the load groups according to thermodynamic parameters of the temperature controlled loads comprises:
according to different R, C, PheaterThe temperature control loads are aggregated into a group and divided into three areas; r0.04022 deg.C/W, C10797.69322J/deg.C, PheaterDividing the temperature control load of 1200W into a park 1, and totally 100 loads; r0.02681159 deg.C/W, C16197.56041J/deg.C, PheaterDividing the temperature control load of 1800W into a park 2, and totally dividing 150 loads; r0.02413043 deg.C/W, C17997.28934J/deg.C, PheaterThe temperature control load of 2000W was divided into campus 3 for a total of 200 loads.
4. The method for demand response control of the layered distributed temperature control load based on the temperature extension margin of claim 1, wherein the step 3 of allocating the target power to the load in each zone according to the layered distributed control strategy comprises the following steps:
need three gardens of power system assigned to consume jointlyTotal target power of PTThe target power allocated to each campus is:
in the above formula, PT_iTarget power, P, allocated for the ith controlled parkHP_iFor the power actually consumed by the load of the ith park, PHP_totalThe total power actually consumed for all parks.
5. The method for hierarchical distributed temperature control load demand response control based on temperature extension margin according to claim 1, wherein the step 4 of adjusting the temperature extension margin for the load individuals in each zone comprises:
the switch states of the loads in the garden are grouped according to α, the load with α being 1 is an opening group, the load with α being 0 is a closing group, and the temperature extension margin for the closing group is as follows:
the temperature extension margin for the open group was:
when the power grid needs to consume redundant power, the load of the closing group is adjusted, and the upper temperature limit of the load of the closing group is adjusted
And lower limit of temperature
Are all up-regulated to a value of
When the power grid needs to supplement power, the load of the starting group is adjusted, and the upper temperature limit of the load of the starting group is
And lower limit of temperature
Are all down-regulated to a down-regulated value of
6. The method for demand response control of the layered distributed temperature controlled load based on the temperature extension margin according to claim 1, wherein the process of verifying the consumption of the target power by the load group and the maintenance of the control error in step 5 is as follows:
matlab software is used for carrying out simulation, the simulation result is compared with the simulation result which is subjected to non-differential regulation according to the integral operation temperature of the load group, and the consumption effect of the control strategy on the target power of the power system is analyzed; meanwhile, comparing the control errors of the two control strategies, judging whether the control errors are within 2%, if so, returning to the step 1, wherein the formula of the control errors is as follows:
in the above formula, E is the control error, PTPower distributed to load groups for the grid, PHPThe power actually consumed by the load group.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130123994A1 (en) * | 2011-11-15 | 2013-05-16 | Palo Alto Research Center Incorporated | Using planning to control demand response and supply choices in a managed electrical system |
| CN104482654A (en) * | 2014-11-14 | 2015-04-01 | 广东电网有限责任公司电力科学研究院 | Demand side response control method based on temperature control load electric water heater and system thereof |
| CN105676820A (en) * | 2016-02-22 | 2016-06-15 | 天津大学 | Urban garden layered distributed temperature control load demand response control strategy |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130123994A1 (en) * | 2011-11-15 | 2013-05-16 | Palo Alto Research Center Incorporated | Using planning to control demand response and supply choices in a managed electrical system |
| CN104482654A (en) * | 2014-11-14 | 2015-04-01 | 广东电网有限责任公司电力科学研究院 | Demand side response control method based on temperature control load electric water heater and system thereof |
| CN105676820A (en) * | 2016-02-22 | 2016-06-15 | 天津大学 | Urban garden layered distributed temperature control load demand response control strategy |
Non-Patent Citations (2)
| Title |
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| 卫文婷等: "一种基于模型预测的城市园区分层分布式温控负荷需求响应控制策略", 《中国电机工程学报》 * |
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Application publication date: 20200714 |