CN112270509B - Algorithm for intelligently selecting value users by resident load-adjustable supply and demand interactive system - Google Patents

Algorithm for intelligently selecting value users by resident load-adjustable supply and demand interactive system Download PDF

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CN112270509B
CN112270509B CN202011461816.6A CN202011461816A CN112270509B CN 112270509 B CN112270509 B CN 112270509B CN 202011461816 A CN202011461816 A CN 202011461816A CN 112270509 B CN112270509 B CN 112270509B
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李莹莹
邓士伟
丁皓
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Jiangsu Zhizhen Energy Technology Co ltd
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Abstract

The invention relates to an intelligent selection value of a resident load-adjustable supply and demand interactive systemThe algorithm of the user comprises the following steps of 1: calculating a user composite parameter indicator within a selected area
Figure DEST_PATH_IMAGE002
And 2, step 2: according to the comprehensive parameter indexes of the users, the screening priority of the users in the area is scheduled; and step 3: determining a target capacity within a selected area
Figure 43896DEST_PATH_IMAGE002
And 4, step 4: sequentially selecting users according to the screened ranking priority, so that the response electric quantity of the selected users is larger than the target capacity
Figure 429878DEST_PATH_IMAGE002
By a factor of M. According to the invention, the purpose of relieving peak power utilization of a power grid company is achieved by reducing the power consumption of users in the area in the demand response period, and the hidden power utilization trouble caused by insufficient power supply is avoided.

Description

Algorithm for intelligently selecting value users by resident load-adjustable supply and demand interactive system
Technical Field
The invention relates to an algorithm for intelligently selecting value users by a resident load-adjustable supply and demand interactive system, and belongs to the technical field of intelligent power grids and intelligent power utilization.
Background
Electric power is the parent of industry, the life line of economic development. In recent years, with the development of economy, the demand for electricity can be said to increase year by year. When the power grid company faces the peak of power utilization, the load is very tight, and the power grid company can run safely and stably and guarantee that the power utilization of residents is normal, which is a severe test. And the load-adjustable supply and demand interactive system of residents can relieve the peak power utilization pressure of the power grid and can better regulate and control the peak power utilization. Not only can save the cost and improve the enterprise competitiveness, but also can save energy resources to the greatest extent in China.
The resident adjustable load supply and demand interactive system achieves the results of relieving peak power consumption of a power grid company and saving resident cost by reducing the larger user power consumption with adjustable potential in some areas in the demand response period.
In the resident adjustable load supply and demand interactive system, the types of users in the selected areas are different, and the users have micro energy consumption, large power users, commercial users and the like. In the demand response period, namely the peak power utilization period of the power grid company, in order to meet the target response capacity demand of the power grid company, how to quickly and effectively select intelligent users according to different demands and conditions becomes an important link.
Disclosure of Invention
In order to solve the technical problems, the invention provides an algorithm for intelligently selecting valuable users for a resident adjustable load supply and demand interactive system, which realizes that valuable users are intelligently selected according to different requirements and conditions in the resident adjustable load supply and demand interactive system, so that the saved or reduced power consumption of the intelligently selected users participating in the interactive system can meet the target capacity of the users in the peak power consumption period of a power grid company, and the demand of peak power consumption is relieved, and the specific technical scheme is as follows:
an algorithm for intelligently selecting value users by a resident load-adjustable supply and demand interactive system comprises the following steps:
step 1: calculating a user composite parameter indicator within a selected area
Figure RE-DEST_PATH_IMAGE001
，
Step 2: according to the comprehensive parameter indexes of the users, the screening priority of the users in the area is scheduled;
and step 3: determining a target capacity within a selected area
Figure RE-DEST_PATH_IMAGE002
，
And 4, step 4: sequentially selecting users according to the screened ranking priority, so that the response electric quantity of the selected users is larger than the target capacity
Figure RE-526501DEST_PATH_IMAGE002
By a factor of M times the number of,
Figure RE-DEST_PATH_IMAGE003
in the formula, the coefficients,
Figure RE-DEST_PATH_IMAGE004
and responding the electric quantity for the screened single user demand.
Further, the use ofIndex of comprehensive parameters
Figure RE-DEST_PATH_IMAGE005
Including user adjustment potential
Figure RE-DEST_PATH_IMAGE006
User reputation
Figure RE-DEST_PATH_IMAGE007
Controllable load
Figure RE-DEST_PATH_IMAGE008
，
The user adjustment potential
Figure RE-194374DEST_PATH_IMAGE006
The sum of the potential values of the device and the transferable device can be adjusted for the user,
the user reputation
Figure RE-36428DEST_PATH_IMAGE007
Judging according to the response condition of the prior interactive system of the user, the credit degree is better when the response score is higher,
the controllable load
Figure RE-247616DEST_PATH_IMAGE008
Whether the user has the intelligent socket control mode or not is judged, if yes, the user is a controllable user, the score is 100, and if not, the user is only an adjustable user, and the score is 0.
Further, the adjustable equipment potential value is a part obtained by subtracting 50% of the average value of the predicted value of the power consumption of the adjustable equipment in the area where the user is located from the predicted value of the power consumption of the adjustable equipment in each period of time of the user, and then accumulating the total value of the period of time where the interactive item is located, as shown in formula (1)
Figure RE-DEST_PATH_IMAGE009
Figure RE-DEST_PATH_IMAGE010
（1），
Wherein n is the number of time periods, t is the time period duration,
Figure RE-DEST_PATH_IMAGE011
the predicted value of the power usage of the equipment may be adjusted for a certain period of time for the user,
Figure RE-DEST_PATH_IMAGE012
the average of the predicted values of equipment power usage may be adjusted for the selected area,
Figure RE-DEST_PATH_IMAGE013
Figure RE-DEST_PATH_IMAGE014
adjusting the total predicted value of the power consumption of the equipment for the user interaction period;
the transferable equipment potential value is obtained by subtracting the part which exceeds the lowest level of the actual power consumption of the user history in the period by 1.5 times from the predicted value of the transferable equipment power consumption of the user in each period, and then accumulating the total value of the period of the interactive item, as shown in the formula (2)
Figure RE-DEST_PATH_IMAGE015
Figure RE-DEST_PATH_IMAGE016
（2），
Wherein,
Figure RE-DEST_PATH_IMAGE017
the actual amount of electricity used for the period is historical for the user,
Figure RE-688087DEST_PATH_IMAGE011
a predicted value of power usage by the mobile device may be transferred for a period of time for the user,
Figure RE-DEST_PATH_IMAGE018
a total value of transferable device power usage is predicted for the user interaction period.
Further, the specific calculation process of the response score is as follows:
1) user j's score in the kth demand response
Figure RE-DEST_PATH_IMAGE019
The score is obtained at the settlement mechanism;
2) cumulative number of credits from k-1 to k times:
Figure RE-DEST_PATH_IMAGE020
wherein:
Figure RE-DEST_PATH_IMAGE021
is a benchmark score;
3) reputation score of user after kth demand response:
Figure RE-DEST_PATH_IMAGE022
wherein: g is a percentile fraction interval;
the initial credit score of all users is 40, the credit rating can be increased or decreased, the lower limit is 0, and the upper limit is 100;
4) score of response power
Figure RE-DEST_PATH_IMAGE023
；
4.1) in the response duration period, the total demand response electric quantity S of the user jj；
4.2) actual response capacity relative to baseline Aj user j is
Figure RE-DEST_PATH_IMAGE024
Actual response electric quantity
Figure RE-320669DEST_PATH_IMAGE024
The sum is accumulated in the same time interval between the baseline electric quantity and the actual electric quantity,
4.3) scoring with j user response power
Figure RE-587702DEST_PATH_IMAGE023
：
Figure RE-DEST_PATH_IMAGE025
，
Wherein j is the user number, k is the number of demand responses, A is the baseline capacity,
Figure RE-661969DEST_PATH_IMAGE024
for the actual response power of user j,
Figure RE-DEST_PATH_IMAGE026
and responding to the electric quantity for the total demand of the user j in the response duration period.
Further, the user comprehensive parameter index
Figure RE-143897DEST_PATH_IMAGE001
The configuration selection mode of each index is as follows:
selecting user adjustment potential
Figure RE-199577DEST_PATH_IMAGE006
User reputation
Figure RE-953907DEST_PATH_IMAGE007
Controllable load
Figure RE-518616DEST_PATH_IMAGE008
One, two or three of the three indexes, user adjustment potential
Figure RE-42002DEST_PATH_IMAGE006
User reputation
Figure RE-534163DEST_PATH_IMAGE007
Controllable load
Figure RE-588838DEST_PATH_IMAGE008
Are in turn the weight coefficients of
Figure RE-DEST_PATH_IMAGE027
、
Figure RE-DEST_PATH_IMAGE028
、
Figure RE-DEST_PATH_IMAGE029
，
When 1 index is selected, the weight of the single-phase index is configured to be 1,
when 2 indexes are selected, the sum of the weight coefficients of the two indexes is 1,
Figure RE-DEST_PATH_IMAGE030
，
Figure RE-DEST_PATH_IMAGE031
，
Figure RE-DEST_PATH_IMAGE032
；
when 3 indices are simultaneously selected, the sum of the coefficients is 1, i.e.
Figure RE-DEST_PATH_IMAGE033
，
Figure RE-DEST_PATH_IMAGE034
，
Figure RE-DEST_PATH_IMAGE035
。
Further, the specific process of step 4 is as follows:
s1: a preliminary target user S is selected,
s2 secondary tick-out of the primary target user S of the intended target user D,
s3: the user is invited to the offer or offers,
s3.1: offer targeted user D to obtain offer targeted user F,
s3.2: confirming the target user, counting the contract status of the target user F, obtaining the confirmed contract user G,
s4: the generation of the strategy is carried out,
s4.1: the analysis of the confirmed subscribers G results in a controlled subscriber H,
s4.2: obtaining an active response user L from a controllable user H;
s5: issuing a power failure interaction strategy;
wherein,
Figure RE-DEST_PATH_IMAGE036
。
further, the response electric quantity of the selected user is larger than the target capacity
Figure RE-487130DEST_PATH_IMAGE002
1.5 times of the total weight of the powder.
Further, in the step S4.1, 15 minutes is taken as a time period, Sj=
Figure RE-192918DEST_PATH_IMAGE006
/4。
Further, in step S4.2, the baseline power consumption is obtained based on yesterday for the first three days.
The invention has the beneficial effects that:
1. the power grid company can flexibly select target value users according to the comprehensive factors of the adjustment potential, the user reputation, the controllable load and the like of the users.
2. The power grid company can flexibly select value users according to different target capacities.
3. Fast autonomous combined user selection. The value users can be selected quickly and manually according to the characteristics of the users, the selection time of the value users is saved, and the efficiency is high.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The invention provides a novel algorithm for intelligently selecting value users by a resident load-adjustable supply and demand interactive system, and the specific implementation mode of the invention is described in detail below.
The inventionThe algorithm for intelligently selecting the value users by the resident load adjustable supply and demand interactive system is a high-level method and mainly comprises the user adjustment potential
Figure RE-DEST_PATH_IMAGE037
User reputation
Figure RE-DEST_PATH_IMAGE038
Controllable load
Figure RE-DEST_PATH_IMAGE039
And the configuration of the three parameter indexes is selected autonomously. The users can independently select any one, two or three modes.
Meanwhile, for convenience, intelligent user selection and manual autonomous selection modes are added.
And the interactive system can sort the users in the region according to the user selection mode, and intelligently select the value users according to the screened arrangement priority and the target capacity of the power grid company.
1. Three index configuration parameters
(1) User adjustment potential
Figure RE-403451DEST_PATH_IMAGE037
: the user can adjust the sum of potential values of the device (air conditioner) and the transferable device (electric heat).
The potential value of the equipment can be adjusted: and a portion obtained by subtracting 50% of the average value of the predicted air-conditioning electricity consumption values of the areas where the users are located from the predicted air-conditioning electricity consumption value of the users every time period (15 minutes is one time period). And then accumulating the total value of the time period of the interactive item.
Figure RE-DEST_PATH_IMAGE040
Figure RE-DEST_PATH_IMAGE041
Transferable equipment potential value: the user subtracts 1.5 times of the lowest level of the actual electricity consumption of the period exceeding the history of the user from the predicted electricity consumption of the electric heating device in each period (15 minutes is one period). And then accumulating the total value of the time period of the interactive item.
Figure RE-DEST_PATH_IMAGE042
Figure RE-DEST_PATH_IMAGE043
(2) User reputation
Figure RE-820788DEST_PATH_IMAGE038
: the reputation degree of the representative user is judged according to the previous interactive system response condition of the user, and the reputation degree is better when the response score is higher. The score is calculated based on the score in the user demand response and the benchmark score of the last score.
The following grades are classified:
Figure RE-DEST_PATH_IMAGE044
1) user j's score in the kth demand response
Figure RE-DEST_PATH_IMAGE045
The score is obtained at the settlement mechanism;
2) cumulative number of credits from k-1 to k times:
Figure RE-DEST_PATH_IMAGE046
3) reputation score of user after kth demand response:
Figure RE-DEST_PATH_IMAGE047
all users have an initial (0 th) reputation score of 40, i.e., silver. Reputation level may be increased or decreased with a lower limit of 0 and an upper limit of 100.
4) Response score
Figure RE-840215DEST_PATH_IMAGE045
，
Within the duration of response
Figure RE-DEST_PATH_IMAGE048
User j total demand response electric quantity Sj(user adjustment potential value)
Figure RE-151242DEST_PATH_IMAGE037
/4）
② relative base line AjThe actual response capacity of the user j is
Figure RE-DEST_PATH_IMAGE049
(actual response power is baseline power in the same period-actual power interaction period, and baseline power acquisition is power used in the first three days based on yesterday)
(iii) respond to the electricity score (for credit rating) with j users:
Figure RE-DEST_PATH_IMAGE050
(3) controllable load
Figure RE-798255DEST_PATH_IMAGE039
: the intelligent socket control method is mainly used for judging whether a user has an intelligent socket control mode or not. If so, it is a controllable user, and the score is 100. If not, it is only the tunable user, with a score of 0.
2. Intelligent selection mode
Grid company target capacity during demand response periods
Figure RE-DEST_PATH_IMAGE051
In order to meet the target response capacity requirement of the power grid company, users are selected according to the screened ranking priority:
Figure RE-DEST_PATH_IMAGE052
in the formula,
Figure RE-DEST_PATH_IMAGE053
and responding the electric quantity for the screened single user demand.
In order to meet the target capacity of the power grid company, index configuration is selected according to different requirements of the power grid company or subjective awareness of users, so that the value users are intelligently selected on the basis of meeting the target capacity of the power grid company.
Grid company target capacity
Figure RE-624260DEST_PATH_IMAGE051
Coefficient of the front: in order to prevent the non-responding users from being present among the selected value users, the value users are selected according to 1.5 times of the target capacity of the power grid company.
(1) Selecting index configuration:
index selection weight: the potential can be adjusted by selecting users according to different requirements and conditions
Figure RE-DEST_PATH_IMAGE054
User reputation
Figure RE-DEST_PATH_IMAGE055
Controllable load
Figure RE-DEST_PATH_IMAGE056
One, two or three of the three indexes are used for selecting the users, and the priority of the arrangement of the value users is influenced by the selected sequence.
When 1 index is selected, the weight of the single-phase index is configured to be 1.
For example, choose
Figure RE-910360DEST_PATH_IMAGE054
When the temperature of the water is higher than the set temperature,
Figure RE-DEST_PATH_IMAGE057
intelligently sequencing the adjustment potentials of the users in the region by taking the adjustment potentials of the users as parameters, and then selecting the required value users according to the target capacity value 1.5 times of the demand response time period given by the power grid company;
when 2 items are selected, the sum of the two index weight coefficients is 1,
Figure RE-DEST_PATH_IMAGE058
，
Figure RE-DEST_PATH_IMAGE059
，
Figure RE-DEST_PATH_IMAGE060
；
for example, during the selection, the total value of 0.7+0.3 of the users in the region is calculated according to the proportion, the total value calculated by the users is intelligently sequenced, and then all the value users reaching the capacity value are selected according to 1.5 times of the target capacity value of the demand response time period given by the power grid company;
③ when 3 indices are simultaneously selected, the sum of the coefficients is 1, i.e.
Figure RE-DEST_PATH_IMAGE061
，
Figure RE-DEST_PATH_IMAGE062
，
Figure RE-DEST_PATH_IMAGE063
。
How to select three indexes is according to the needs of the power grid company or the subjective consciousness of users, so that value users can be selected better:
if the power grid company urgently needs to reduce the load, the interactive project is implemented immediately, and the user is temporarily informed that the response effect of the participation demand is not good, the controllable load can be preferentially selected at the moment
Figure RE-826626DEST_PATH_IMAGE056
Index, the controllable user will prioritize the selection. Since the grid company can directly control this part to useThe power consumption of the user passes through the intelligent socket to ensure that the load is reduced quickly.
If the selected value user modulation potential does not reach the target capacity, one or both of the remaining two items are selected to meet the target capacity.
In this scenario, user reputation is generally selected preferentially from two indexes
Figure RE-362649DEST_PATH_IMAGE055
And (4) indexes. Because the users with high credibility simultaneously represent high participation response degree. Of course, both indicators can be selected simultaneously, so that users with high confidence and high adjustment potential will prefer the selection until the selected users reach the target capacity.
But also without absolute, user reputation
Figure RE-870423DEST_PATH_IMAGE055
Metrics and user tuning potential
Figure RE-494303DEST_PATH_IMAGE054
The metrics are more dependent on user subjectivity.
In general, and in non-emergency situations, user reputation may be preferred, as described above
Figure RE-560347DEST_PATH_IMAGE055
Metrics and user tuning potential
Figure RE-142639DEST_PATH_IMAGE056
And (4) indexes.
Figure RE-146498DEST_PATH_IMAGE054
The indexes are generally used under the condition that a power grid company urgently needs to reduce the load.
The index value user selection mode is a mode combining objectivity and subjectivity, the subjective consciousness of the user is taken as a criterion, and different users possibly select different modes according to different power grid company requirements without absolute property.
(2) One-click smart user selection: the method is a shortcut mode for simultaneously selecting three index configurations by one key in the index configuration, and is derivative of the selection of the index configuration.
(3) Manual and autonomous selection: the power grid company can manually and autonomously select the intelligent users, and can also manually adjust the selection of the intelligent users on the basis of one-key intelligent user selection or index configuration autonomous selection. The manual and quick two modes can be combined with each other, the flexibility is high, the time cost is saved, and the selection efficiency of an intelligent user is improved.
In the invention, because the initial credit degrees of all users in the selected area are consistent, and the intelligent socket user is the user with the highest adjusting potential, only the adjusting potential is used for example as follows:
for example: a newly-built resident load-adjustable supply and demand interaction project of 'power failure interaction in Yang' is shown in figure 1, the interaction time is 2020-07-1711: 00-13: 00, and the target capacity is set to 60 kWh.
And entering a user selection interface, wherein the credit of all users in the selected area is platinum, the controllable load user has only one user, and the adjustment potential of the controllable load user is the maximum. Therefore, the results of the three selection modes are consistent with the results of the selection mode of the single selection parameter of 'user adjustment potential priority', and how the value user is intelligently selected by the three selection modes is examined below.
Based on the set target capacity of the interactive project of 60 kWh, select "user adjust potential priority", intelligently select 1 user, who may respond with 90.54 kWh of power. It can be calculated according to the following formula: 1.5 × 60 kWh =90 kWh < =90.54 kWh, the user with the highest regulation potential can meet the target capacity requirement set by the grid company, so 1 user is intelligently selected.
Figure RE-DEST_PATH_IMAGE064
If the target capacity of the interactive project is set to 80 kWh, and the user adjustment potential priority is selected, 4 users are intelligently selected, and the 4 users can respond to 126.43 kWh. From the above formula it can be calculated: 1.5 × 80 kWh =120 kWh < =126.43 kWh, the users with the highest regulation potential can meet the target capacity requirement set by the grid company, so 4 users are intelligently selected.
In addition to this, the intelligent user may be selected substantially manually at the quick selection, or directly by manual selection.
The intelligent selection value user of the resident load-adjustable supply and demand interactive system has flexibility, and the intelligent user can be freely selected in three ways.
In light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.

Claims (7)

1. An algorithm for intelligently selecting value users by a resident load-adjustable supply and demand interactive system is characterized in that: the method comprises the following steps:
step 1: calculating a user composite parameter indicator within a selected area
Figure 734854DEST_PATH_IMAGE001
The user integrated parameter index
Figure 76974DEST_PATH_IMAGE002
Including user adjustment potential
Figure 863664DEST_PATH_IMAGE003
User reputation
Figure 316642DEST_PATH_IMAGE004
Controllable load
Figure 994924DEST_PATH_IMAGE005
，
The user adjustment potential
Figure 507945DEST_PATH_IMAGE003
The potential value of the adjustable equipment is the part of the predicted value of the power consumption of the adjustable equipment of each period of time of the user minus 50 percent of the average value of the predicted value of the power consumption of the adjustable equipment of the area where the user is located, and then the total value of the period of time of the interactive item is accumulated, as shown in the formula (1)
Figure 781932DEST_PATH_IMAGE006
Figure 38601DEST_PATH_IMAGE007
（1），
Wherein n is the number of time periods, t is the time period duration,
Figure 81643DEST_PATH_IMAGE008
the predicted value of the power usage of the equipment may be adjusted for a certain period of time for the user,
Figure 264100DEST_PATH_IMAGE009
the average of the predicted values of equipment power usage may be adjusted for the selected area,
Figure 759804DEST_PATH_IMAGE010
adjusting the total predicted value of the power consumption of the equipment for the user interaction period;
the transferable equipment potential value is obtained by subtracting the part which exceeds the lowest level of the actual power consumption of the user history in the period by 1.5 times from the predicted value of the transferable equipment power consumption of the user in each period, and then accumulating the total value of the period of the interactive item, as shown in the formula (2)
Figure 820164DEST_PATH_IMAGE011
Figure 717713DEST_PATH_IMAGE012
（2），
Wherein,
Figure 572536DEST_PATH_IMAGE013
the actual amount of electricity used for the period is historical for the user,
Figure 821115DEST_PATH_IMAGE014
a predicted value of power usage by the mobile device may be transferred for a period of time for the user,
Figure 921051DEST_PATH_IMAGE015
predicting a total value of the transferable equipment power consumption for the user interaction time period;
the user reputation
Figure 673107DEST_PATH_IMAGE004
Judging according to the response condition of the prior interactive system of the user, the credit degree is better when the response score is higher,
the controllable load
Figure 964411DEST_PATH_IMAGE005
Whether a user has an intelligent socket control mode or not is judged, if yes, the user is a controllable user and is scored as 100, and if not, the user is an adjustable user and is scored as 0;
step 2: according to the comprehensive parameter indexes of the users, the screening priority of the users in the area is scheduled;
and step 3: determining a target capacity within a selected area
Figure 169127DEST_PATH_IMAGE016
，
And 4, step 4: sequentially selecting users according to the screened ranking priority, so that the response electric quantity of the selected users is larger than the target capacity
Figure 836869DEST_PATH_IMAGE016
By a factor of M times the number of,
Figure 941966DEST_PATH_IMAGE017
in the formula, the coefficients,
Figure 404171DEST_PATH_IMAGE018
and responding the electric quantity for the screened single user demand.
2. The algorithm for intelligent selection of value users for resident adjustable load supply and demand interaction system according to claim 1, wherein: the specific calculation process of the response score is as follows:
1) user j's score in the kth demand response
Figure 361763DEST_PATH_IMAGE019
The score is obtained at the settlement mechanism;
2) cumulative number of credits from k-1 to k times:
Figure 302037DEST_PATH_IMAGE020
wherein:
Figure 294264DEST_PATH_IMAGE021
is used as a reference score to be calculated,
Figure 927370DEST_PATH_IMAGE022
represents the score of the user j in the k-1 th demand response;
3) reputation score of user after kth demand response:
Figure 342565DEST_PATH_IMAGE023
wherein: g is a percentile fraction interval;
the initial credit score of all users is 40, the credit rating can be increased or decreased, the lower limit is 0, and the upper limit is 100;
4) score of response power
Figure 86530DEST_PATH_IMAGE019
；
4.1) in the response duration period, the total demand response electric quantity S of the user jj；
4.2) actual response capacity relative to baseline Aj user j is
Figure 667684DEST_PATH_IMAGE024
Actual response electric quantity
Figure 206113DEST_PATH_IMAGE024
The sum is accumulated in the same time interval between the baseline electric quantity and the actual electric quantity,
4.3) scoring with j user response power
Figure 636832DEST_PATH_IMAGE025
：
Figure 918908DEST_PATH_IMAGE026
，
Wherein j is the user number, k is the number of demand responses, A is the baseline capacity,
Figure 354569DEST_PATH_IMAGE024
for the actual response power of user j,
Figure 329478DEST_PATH_IMAGE027
and responding to the electric quantity for the total demand of the user j in the response duration period.
3. The algorithm for intelligent selection of value users for resident adjustable load supply and demand interaction system according to claim 1, wherein: the user comprehensive parameter index
Figure 748958DEST_PATH_IMAGE001
The configuration selection mode of each index is as follows:
selecting user adjustment potential
Figure 834726DEST_PATH_IMAGE003
User reputation
Figure 891937DEST_PATH_IMAGE004
Controllable load
Figure 37748DEST_PATH_IMAGE005
One, two or three of the three indexes, user adjustment potential
Figure 678944DEST_PATH_IMAGE003
User reputation
Figure 568403DEST_PATH_IMAGE004
Controllable load
Figure 244235DEST_PATH_IMAGE005
Are in turn the weight coefficients of
Figure 793903DEST_PATH_IMAGE028
、
Figure 922396DEST_PATH_IMAGE029
、
Figure 349966DEST_PATH_IMAGE030
，
When 1 index is selected, the weight of the single-phase index is configured to be 1,
when 2 indexes are selected, the sum of the weight coefficients of the two indexes is 1,
Figure 880305DEST_PATH_IMAGE031
，
Figure 367918DEST_PATH_IMAGE032
，
Figure 983707DEST_PATH_IMAGE033
；
when 3 indices are simultaneously selected, the sum of the coefficients is 1, i.e.
Figure 462572DEST_PATH_IMAGE034
，
Figure 847417DEST_PATH_IMAGE035
，
Figure 505932DEST_PATH_IMAGE036
。
4. The algorithm for intelligent selection of value users for resident adjustable load supply and demand interaction system according to claim 1, wherein: the specific process of the step 4 is as follows:
s1: a preliminary target user S is selected,
s2 secondary tick-out of the primary target user S of the intended target user D,
s3: the user is invited to the offer or offers,
s3.1: offer targeted user D to obtain offer targeted user F,
s3.2: confirming the target user, counting the contract status of the target user F, obtaining the confirmed contract user G,
s4: the generation of the strategy is carried out,
s4.1: the analysis of the confirmed subscribers G results in a controlled subscriber H,
s4.2: obtaining an active response user L from a controllable user H;
s5: issuing a power failure interaction strategy;
wherein,
Figure 609017DEST_PATH_IMAGE037
。
5. the algorithm for intelligent selection of value users for resident adjustable load supply and demand interactive system as claimed in claim 1, wherein the algorithm is characterized in thatThe method comprises the following steps: the response electric quantity of the selected user is larger than the target capacity
Figure 378390DEST_PATH_IMAGE016
1.5 times of the total weight of the powder.
6. The algorithm for intelligent selection of value users for resident adjustable load supply and demand interaction system according to claim 1, wherein: the time period was 15 minutes.
7. The algorithm for intelligent selection of value users for resident adjustable load supply and demand interactive system according to claim 2, wherein: the electricity consumption of the base line is measured in the first three days by using yesterday as a reference.
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