CN109325677B - Incentive type demand response method based on metering mechanism - Google Patents
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Abstract
The invention discloses an incentive type demand response method based on a metering mechanism. Setting a power grid demand side scoring unit to provide four auxiliary services, wherein the four auxiliary services are respectively automatic power generation control, rotary standby, hot standby and electricity utilization operation of paid peak regulation; the power grid demand side scoring unit acquires respective response values of the four auxiliary services through acquiring power grid demand side data: and finally, calculating the monthly total response value of the power grid demand side by the power grid demand side scoring unit. According to the invention, by arranging the power grid demand side scoring unit, the response value can be increased, the successful response times can be increased, the failed response times can be reduced, and the demand response under the excitation of the power grid can be realized.
Description
Technical Field
The invention relates to a power grid demand response implementation method, in particular to an excitation type demand response method based on a metering mechanism.
Background
The basic condition of safe and stable operation of the power system is that the generated energy and the power consumption are kept balanced in real time, and the random fluctuation of the power load is inevitable. In order to cope with random fluctuation of loads, a generator set in the power system needs to adjust the power generation amount in time to ensure balance of the power system, and the adjustment is called as auxiliary service. The demand response is to keep the balance of the power system by adjusting the power consumption of the load, namely, reducing the power consumption of the load can be equivalent to increasing the generating capacity of the generator set, so that the demand response load can also participate in the auxiliary service of the power system. When the auxiliary service capacity of the generator set is insufficient or the adjustment cost is extremely high, the auxiliary service is more suitable to be provided by using the demand response load. However, the electricity market in China is not released yet, and load resources cannot participate in auxiliary services, so that the development of demand response is hindered.
Disclosure of Invention
In view of the above problems in the background art, the present invention provides an incentive type demand response method based on a metering mechanism, which can implement an equivalent incentive measure in a metering value manner under the condition of incomplete power market construction, so that load resources can participate in demand response, and provide an auxiliary service for a power system, and the implementation manner is as follows:
the invention adopts the following technical scheme:
1) setting a scoring unit at a power grid demand side to provide four auxiliary services, wherein the four auxiliary services are respectively power utilization operations of a generator set with automatic power generation control, rotary standby, hot standby and paid peak regulation;
2) the power grid demand side scoring unit acquires respective response values of the four auxiliary services through acquiring power grid demand side data:
2.1) the power grid demand side scoring unit obtains a monthly response value of the automatic power generation control auxiliary service, and specifically adopts a calculation formula to calculate:
wherein the content of the first and second substances,the total response value of one month for the scoring unit on the power grid demand side to participate in the automatic power generation control auxiliary service, day is the serial number of the day, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day,response success metering value Q for scoring unit on power grid demand side participating in automatic power generation control auxiliary servicetIs this month whenDemand response at the t-th time period of the day before;
2.2) the power grid demand side scoring unit obtains a monthly response value of the rotary standby auxiliary service, and the monthly response value is calculated by adopting a calculation formula:
wherein the content of the first and second substances,the total response value of one month of the scoring unit participating in the rotary standby auxiliary service at the power grid demand side is given by day, D is the total number of days of the month, T is the sequence number of the time period in one day, T is the total number of the time period in one day,the scoring unit on the demand side of the power grid participates in the basic metering value of the rotary standby auxiliary service,a response success metering value for the power grid demand side scoring unit participating in the rotary standby auxiliary service, alpha is an increment coefficient of the power grid demand side scoring unit participating in the rotary standby auxiliary service, QtDemand response for the t-th period of the current day of the month;
2.3) the power grid demand side scoring unit obtains a hot standby auxiliary service monthly response value, and the hot standby auxiliary service monthly response value is calculated by adopting a calculation formula:
wherein the content of the first and second substances,the total response value of one month of the scoring unit participating in the hot standby auxiliary service at the power grid demand side is given by day, D is the total number of days of the month, T is the sequence number of the time period in one day, T is the total number of the time period in one day,the scoring unit on the demand side of the power grid participates in the basic metering value of the hot standby auxiliary service,a response success metering value for the power grid demand side scoring unit participating in the hot standby auxiliary service, beta is a value-added coefficient for the power grid demand side scoring unit participating in the hot standby auxiliary service, QtDemand response for the t-th period of the current day of the month;
2.4) the power grid demand side scoring unit obtains a monthly response value of the compensated peak regulation auxiliary service, and the monthly response value is calculated by adopting a calculation formula:
wherein the content of the first and second substances,the total response value of one month for the scoring unit on the power grid demand side participating in the compensated peak regulation auxiliary service is given, day is the serial number of the day, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day,the scoring unit on the power grid demand side participates in the basic metering value of the paid peak regulation auxiliary service,response success metering values of scoring units participating in the paid peak regulation auxiliary service on the power grid demand side are measured,response failure measurement value Q for participating in paid peak regulation auxiliary service of scoring unit on power grid demand sidetDemand response for the t-th period of the current day of the month;
3) and finally, calculating a monthly total response value of the power grid demand side by a power grid demand side scoring unit:
wherein G ismonthScoring a unit total one month response value of a power grid demand side, wherein day is a serial number of days, D is a total number of days of the month, T is a serial number of a time period in one day, T is a total number of time periods in one day, the response values of the four auxiliary services of automatic power generation control, rotary standby, hot standby and compensated peak regulation are respectively.
According to the method, the data on the power grid demand side are divided into the data corresponding to the four specific auxiliary services, and then the four specific auxiliary services are subjected to different specific calculation in different modes, so that an excitation demand response value can be accurately obtained, and more accurate and effective demand response is realized.
In step 2), the demand response basic metering value is a real number greater than or equal to zero, the demand response success metering value is a real number greater than or equal to zero, the demand response failure metering value is a real number less than or equal to zero, and the absolute value of the demand response failure metering value is constantly less than or equal to the absolute value of the demand response basic metering value.
In the step 2), the monthly response value G obtained by the demand response load unitmonthThe initial value is zero.
Obtaining the total response value G of the middle month of the scoring unit on the power grid demand sidemonthThen, the following treatment is carried out: total response value of G in monthsmonthIf it is greater than zero, the total response value G according to the monthmonthThe electricity charge value is reduced; and if the total response value of the month is less than or equal to zero, clearing the total response value of the month, and not reducing the electricity charge metering value.
And the power grid demand side scoring unit is arranged at the power grid demand side section.
The invention has the following beneficial effects:
the invention can enable the load resources to participate in the auxiliary service of the power system in a metering value mode under the condition of incomplete power market construction, and provides an effective way for implementing demand response.
Specifically, the power grid demand side scoring unit is used for obtaining a demand response basic metering value, increasing the times of successful demand response to obtain a demand response success metering value, reducing the times of failure demand response to reduce a demand response failure metering value, and finally realizing that the power grid demand side scoring unit participates in four auxiliary services of a power system. The four clear auxiliary services can enable flexible load resources to participate in demand response more accurately, and participation scale of demand response is enlarged.
Drawings
Fig. 1 is a diagram of supplementary service category selection of the present invention.
Detailed Description
The following is a further description with reference to the examples and the accompanying drawings.
A fully practical example of the method according to the invention is as follows:
1) specifying the types of ancillary services that a demand response load unit can provide:
the scoring unit at the demand side of the power grid can provide four auxiliary services, namely automatic power generation control, rotary standby, hot standby and paid peak shaving.
2) Processing a metering value mechanism with a scoring unit at the power grid demand side
Assuming that the auxiliary service type is the compensatory peak shaving, the excitation time interval of the metering value is 12:00-13:00, and every 15 minutes is a time interval, the total time interval T in one day is 4, and the auxiliary service metering value comprises three metering values, namely a demand response basic metering valueDemand response success metricDemand response failure metricThe set values are shown in table 1.
TABLE 1 auxiliary service class and stimulus response value
Taking the power grid demand side scoring unit 1 as an example, the demand response Q of the power grid demand side scoring unit in the four periods of the 1 st day of the monthtRespectively at 2 degrees, 5 degrees and 5 degrees, and the demand response is successful in the first 3 periods and fails in the 4 th period. Suppose the daily power consumption condition Q of the scoring unit 1 at the power grid demand side in the monthtThe total days D of the month is 30, the total response value of the scoring unit 1 at the power grid demand side in the month is calculated according to a formula, and the total response value can be obtainedIs 18000. If the scoring unit on the power grid demand side only participates in the paid peak regulation auxiliary service and does not participate in other three auxiliary services, according to the formula:
calculating the total response value of the scoring unit 1 at the power grid demand side in the month to obtain GmonthIs 18000.
Since the total response value in this month is greater than zero, the electricity charge meter value 1 is reduced according to the 100 response value, and the electricity charge meter value 180 can be reduced in this month by the power grid demand side scoring unit 1.
Therefore, the method can effectively stimulate the scoring unit at the power grid demand side to sign the auxiliary service contract and successfully respond. And in order to obtain more response values, the response quantity of the users sensitive to the response values is increased, so that the reduction of the power consumption in the load spike period is realized, and the purpose of the peak regulation of the power grid in a compensation manner is realized. The invention provides an effective scheme for implementing demand response under the condition of incomplete construction of the power market and realizes the technical effect.
Claims (5)
1. An incentive type demand response method based on a metering mechanism is characterized in that:
1) setting a scoring unit at a power grid demand side to provide four auxiliary services, wherein the four auxiliary services are respectively power utilization operations of a generator set with automatic power generation control, rotary standby, hot standby and paid peak regulation;
2) the power grid demand side scoring unit acquires respective response values of the four auxiliary services through acquiring power grid demand side data:
2.1) the power grid demand side scoring unit obtains a monthly response value of the automatic power generation control auxiliary service, and specifically adopts a calculation formula to calculate:
wherein the content of the first and second substances,the total response value of one month for the scoring unit on the power grid demand side to participate in the automatic power generation control auxiliary service, day is the serial number of the day, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day,response success metering value Q for scoring unit on power grid demand side participating in automatic power generation control auxiliary servicetDemand response for the t-th period of the current day of the month;
2.2) the power grid demand side scoring unit obtains a monthly response value of the rotary standby auxiliary service, and the monthly response value is calculated by adopting a calculation formula:
wherein the content of the first and second substances,the total response value of one month of the scoring unit participating in the rotary standby auxiliary service at the power grid demand side is given by day, D is the total number of days of the month, T is the sequence number of the time period in one day, T is the total number of the time period in one day,the scoring unit on the demand side of the power grid participates in the basic metering value of the rotary standby auxiliary service,a response success metering value for the power grid demand side scoring unit participating in the rotary standby auxiliary service, alpha is an increment coefficient of the power grid demand side scoring unit participating in the rotary standby auxiliary service, QtDemand response for the t-th period of the current day of the month;
2.3) the power grid demand side scoring unit obtains a hot standby auxiliary service monthly response value, and the hot standby auxiliary service monthly response value is calculated by adopting a calculation formula:
wherein the content of the first and second substances,the total response value of one month of the scoring unit participating in the hot standby auxiliary service at the power grid demand side is given by day, D is the total number of days of the month, T is the sequence number of the time period in one day, T is the total number of the time period in one day,the scoring unit on the demand side of the power grid participates in the basic metering value of the hot standby auxiliary service,auxiliary clothes for participating in hot standby of scoring unit on power grid demand sideThe response success metering value of the service is beta which is a value-added coefficient of a scoring unit on the demand side of the power grid participating in the hot standby auxiliary service, QtDemand response for the t-th period of the current day of the month;
2.4) the power grid demand side scoring unit obtains a monthly response value of the compensated peak regulation auxiliary service, and the monthly response value is calculated by adopting a calculation formula:
wherein the content of the first and second substances,the total response value of one month for the scoring unit on the power grid demand side participating in the compensated peak regulation auxiliary service is given, day is the serial number of the day, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day,the scoring unit on the power grid demand side participates in the basic metering value of the paid peak regulation auxiliary service,response success metering values of scoring units participating in the paid peak regulation auxiliary service on the power grid demand side are measured,response failure measurement value Q for participating in paid peak regulation auxiliary service of scoring unit on power grid demand sidetDemand response for the t-th period of the current day of the month;
3) and finally, calculating a monthly total response value of the power grid demand side by a power grid demand side scoring unit:
wherein G ismonthFor power gridThe side scoring unit has a one-month total response value, day is the serial number of days, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day, the response values of the four auxiliary services of automatic power generation control, rotary standby, hot standby and compensated peak regulation are respectively.
2. The incentive type demand response method based on metering mechanism of claim 1, wherein: in step 2), the demand response basic metering value is a real number greater than or equal to zero, the demand response success metering value is a real number greater than or equal to zero, the demand response failure metering value is a real number less than or equal to zero, and the absolute value of the demand response failure metering value is constantly less than or equal to the absolute value of the demand response basic metering value.
3. The incentive type demand response method based on metering mechanism of claim 1, wherein: in the step 2), the monthly response value G obtained by the demand response load unitmonthThe initial value is zero.
4. The incentive type demand response method based on metering mechanism of claim 1, wherein: obtaining the total response value G of the middle month of the scoring unit on the power grid demand sidemonthThen, the following treatment is carried out: total response value of G in monthsmonthIf it is greater than zero, the total response value G according to the monthmonthThe electricity charge value is reduced; and if the total response value of the month is less than or equal to zero, clearing the total response value of the month, and not reducing the electricity charge metering value.
5. The incentive type demand response method based on metering mechanism of claim 1, wherein: and the power grid demand side scoring unit is arranged at the power grid demand side section.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104616082A (en) * | 2015-02-11 | 2015-05-13 | 国家电网公司 | Demand response benefit and potential evaluation method based on electricity price |
CN105846467A (en) * | 2016-05-15 | 2016-08-10 | 华南理工大学 | Stimulating type demand response-based micro power grid load shedding control method |
CN106655246A (en) * | 2016-10-18 | 2017-05-10 | 国网黑龙江省电力有限公司哈尔滨供电公司 | Method of solving robust two-layer optimization model based on wind power prediction and demand response |
CN107665378A (en) * | 2017-09-25 | 2018-02-06 | 燕山大学 | Power system Multiobjective Optimal Operation method based on Demand-side trade at competitive price mechanism |
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CN104616082A (en) * | 2015-02-11 | 2015-05-13 | 国家电网公司 | Demand response benefit and potential evaluation method based on electricity price |
CN105846467A (en) * | 2016-05-15 | 2016-08-10 | 华南理工大学 | Stimulating type demand response-based micro power grid load shedding control method |
CN106655246A (en) * | 2016-10-18 | 2017-05-10 | 国网黑龙江省电力有限公司哈尔滨供电公司 | Method of solving robust two-layer optimization model based on wind power prediction and demand response |
CN107665378A (en) * | 2017-09-25 | 2018-02-06 | 燕山大学 | Power system Multiobjective Optimal Operation method based on Demand-side trade at competitive price mechanism |
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