CN109713679B - Power grid emergency load method based on demand response participation degree - Google Patents
Power grid emergency load method based on demand response participation degree Download PDFInfo
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Abstract
The invention discloses a power grid emergency load shedding method based on demand response participation, which comprises the steps of obtaining historical power utilization data information and economic benefits of power grid load shedding users; calculating the average economic loss and the demand response participation volume of the grid load shedding users; calculating to obtain user group information of the users to be subjected to load shedding by taking the minimum average economic loss as an optimization criterion; and performing load shedding operation according to the user group information of the users to be subjected to load shedding to finish emergency load shedding of the power grid. According to the method, the power utilization behavior habit of the user to be switched in the background of considering the demand response is considered, the average economic loss and the participation cost of the demand response are calculated by collecting the historical daily power utilization load data information and the economic benefit of the user to be switched in the power grid, the non-positive set of the response of the user to be switched in the power grid is obtained, the information of the user group to be switched is obtained according to the minimum optimization criterion of the average economic loss, and the scheduling operation of the load to be switched is realized.
Description
Technical Field
The invention particularly relates to a power grid emergency load method based on demand response participation.
Background
With the development of economic technology and the improvement of living standard of people, electric energy becomes essential secondary energy in production and life of people, and brings endless convenience to production and life of people. Therefore, ensuring stable and reliable operation of the power system becomes one of the primary objectives of the power system.
In recent years, voltage collapse accidents of domestic and foreign power systems occur for many times, and can be relieved through corresponding load shedding measures. For line outage faults, the voltage collapse is caused not by the power required by the load exceeding the power that the system can deliver, but by the transmission capacity of the system failing to meet the power requirements of the load. The purpose of load shedding in this case is to reduce the load requirements on the transmission capacity of the transmission lines of the system, and at the same time to reduce the active output of the generator accordingly, so as to maintain the power balance of the system. Therefore, the load shedding operation can be optimized, namely, the load shedding is carried out according to different optimization targets, so that the requirement of the load on the transmission capacity of a system transmission line is reduced, and the development requirement of an energy internet is met.
Demand Response (DR) means that a power consumption user is influenced by power rates at different moments or power grid side excitation, so that when the power rates are high or the system reliability is threatened, the DR can benefit and guarantee the power consumption satisfaction, adjust the daily power consumption behavior habits of the DR, reduce the power consumption load or transfer the power consumption time period, and guarantee the stable and reliable operation of the power grid. The demand response means that users are guided to adjust daily electricity utilization arrangement through various means so as to meet the strategy of a power grid side and realize safe and reliable operation of the smart power grid.
The load shedding method of the existing power grid is operated according to the minimum over-shedding load amount, and can meet the technical requirement of emergency load shedding. But the user experience is poor for the user with cut load, and the user is not friendly.
Disclosure of Invention
The invention aims to provide a power grid emergency load method based on demand response participation, which considers user data information and load information, is friendly to users, is stable and reliable, and meets the technical requirements of a power grid.
The invention provides a power grid emergency load method based on demand response participation, which comprises the following steps:
s1, acquiring historical power utilization data information and economic benefits of a power grid load shedding user;
s2, calculating the average economic loss and the extreme demand response participation product of the power grid load shedding user according to the historical power utilization data information and the economic benefit obtained in the step S1;
s3, calculating to obtain user group information of the user to be subjected to load shedding by taking the minimum average economic loss as an optimization criterion;
and S4, when the power grid needs to be subjected to load shedding operation, carrying out load shedding operation according to the user group information of the user to be subjected to load shedding, which is obtained in the step S3, and finishing emergency load shedding of the power grid.
The power grid emergency load method based on the demand response participation degree further comprises the following steps:
s5, repeating the steps S2-S4 to finish the next round of power grid economic load shedding.
Step S1, the step of obtaining historical electricity consumption data information and economic benefits of the grid load shedding user includes the following steps:
A. determining N load shedding users when the power grid is in emergency load shedding; n is a natural number;
B. determining the load shedding power L of the load shedding user in the step An；n＝1,...,N；
C. Acquiring historical daily electricity load data information of load shedding users in K days;
D. according to the historical daily power consumption load data information obtained in the step C, a daily load power consumption curve of the internally tangent load user at any moment in K days and the required response power consumption of the user participating in the demand response are obtained;
E. and D, obtaining the economic profit value of the load shedding user at any moment according to the daily load electricity utilization curve of the load shedding user at any moment and the required response electricity quantity of the user participating in demand response obtained in the step D.
Step S2, calculating the average economic loss and the demand response participation volume of the grid load shedding user, specifically, calculating by using the following steps:
a. calculating the average power consumption of the nth load shedding user at the ith moment by adopting the following formula
Wherein K is the kth historical day, S (K, i) is the electricity consumption of the nth load shedding user at the ith moment of the kth day, and K is the total days of the historical days;
b. calculating the economic benefit of the unit electric quantity of the nth load shedding user at the ith moment by adopting the following formula
Wherein K is the kth historical day, S (K, i) is the electricity consumption of the nth load shedding user at the ith moment of the kth day, K is the total days of the historical day, and W (K, i) is the economic benefit of the nth load shedding user at the ith moment of the kth day;
c. calculating the average economic loss Q (i, n) of the nth load shedding user in K days by adopting the following formula:
in the formula
The average power consumption of the nth load shedding user at the ith moment,
the unit electric quantity economic benefit of the nth load shedding user at the ith moment is obtained;
d. calculating the demand response participation volume g (i, n) of the nth load shedding user at the ith moment in K days by adopting the following formula:
wherein K is the kth historical day, S (K, i) is the electricity consumption of the nth load shedding user at the ith moment of the kth day, K is the total days of the historical day, and B (K, i) is the response-required electricity quantity of the nth load shedding user participating in the demand response at the ith moment of the kth day;
e. the engagement aggressiveness evaluation threshold β (i) at the ith time is calculated using the following equation:
wherein g (i, N) is the demand response participation maximum of the nth load shedding user at the ith moment in K days, and N is the total number of the load shedding users;
f. and when the demand response participation volume g (i, n) of the nth load shedding user at the ith moment in the K days is smaller than the participation activity evaluation threshold value of the ith moment, merging the user and the corresponding data confidence into a response non-activity set J.
Step S3, calculating to obtain the user group information of the user to be subjected to load shedding by using the minimum average economic loss as an optimization criterion, specifically, calculating to obtain the user group information of the user to be subjected to load shedding by using the following algorithm:
and when the total load cuttable of the load shedding users is greater than the total amount of the emergency load shedding requirements of the power grid at the current moment, the user group information of the to-be-switched load users is calculated by adopting a linear programming algorithm with the average economic loss as the minimum optimization target and with the users in the non-active response set as the criterion.
According to the power grid emergency load shedding method based on the demand response participation, the data characteristics of the power consumption behavior habits of the users to be subjected to load shedding under the background of demand response are fully considered, the historical daily power consumption load data information and the economic benefits of the users to be subjected to load shedding are acquired through collection, the average economic loss and the maximum participation of demand response are calculated, the non-positive set of the responses of the users to be subjected to load shedding is obtained, the information of the users to be subjected to load shedding is acquired according to the minimum optimization criterion of the average economic loss, and the scheduling operation of the users to be subjected to load shedding is realized.
Drawings
FIG. 1 is a process flow diagram of the process of the present invention.
Detailed Description
FIG. 1 shows a flow chart of the method of the present invention: the invention provides a power grid emergency load method based on demand response participation, which comprises the following steps:
s1, acquiring historical power utilization data information and economic benefits of a power grid load shedding user; specifically, the following steps are adopted to obtain data:
A. determining N load shedding users when the power grid is in emergency load shedding; n is a natural number;
B. for determining load shedding in step ALoad-cutting power L of householdn；n＝1,...,N；
C. Acquiring historical daily electricity load data information of load shedding users in K days;
D. according to the historical daily power consumption load data information obtained in the step C, a daily load power consumption curve of the internally tangent load user at any moment in K days and the required response power consumption of the user participating in the demand response are obtained;
E. according to the daily load electricity utilization curve of the load shedding user at any moment and the response-required electricity quantity of the user participating in the demand response, which are obtained in the step D, the economic profit value of the load shedding user at any moment is obtained;
s2, calculating the average economic loss and the extreme demand response participation product of the power grid load shedding user according to the historical power utilization data information and the economic benefit obtained in the step S1; specifically, the following steps are adopted for calculation:
a. calculating the average power consumption of the nth load shedding user at the ith moment by adopting the following formula
Wherein K is the kth historical day, S (K, i) is the electricity consumption of the nth load shedding user at the ith moment of the kth day, and K is the total days of the historical days;
b. calculating the economic benefit of the unit electric quantity of the nth load shedding user at the ith moment by adopting the following formula
Wherein K is the kth historical day, S (K, i) is the electricity consumption of the nth load shedding user at the ith moment of the kth day, K is the total days of the historical day, and W (K, i) is the economic benefit of the nth load shedding user at the ith moment of the kth day;
c. calculating the average economic loss Q (i, n) of the nth load shedding user in K days by adopting the following formula:
in the formula
The average power consumption of the nth load shedding user at the ith moment,
the unit electric quantity economic benefit of the nth load shedding user at the ith moment is obtained;
d. calculating the demand response participation volume g (i, n) of the nth load shedding user at the ith moment in K days by adopting the following formula:
wherein K is the kth historical day, S (K, i) is the electricity consumption of the nth load shedding user at the ith moment of the kth day, K is the total days of the historical day, and B (K, i) is the response-required electricity quantity of the nth load shedding user participating in the demand response at the ith moment of the kth day;
e. the engagement aggressiveness evaluation threshold β (i) at the ith time is calculated using the following equation:
wherein g (i, N) is the demand response participation maximum of the nth load shedding user at the ith moment in K days, and N is the total number of the load shedding users;
f. when the demand response participation volume g (i, n) of the nth load shedding user at the ith moment in the K days is smaller than the participation activity evaluation threshold value of the ith moment, merging the user and the corresponding data confidence into a response non-activity set J;
s3, calculating to obtain user group information of the user to be subjected to load shedding by taking the minimum average economic loss as an optimization criterion; specifically, the user group information of the user to be switched and loaded is calculated by adopting the following algorithm:
when the total load which can be cut by the load cutting users is larger than the total amount of the emergency load cutting requirements of the power grid at the current moment, the users in the non-active set are preferentially selected as a criterion, the average economic loss is taken as the minimum optimization target, and the user group information of the users to be cut is calculated by adopting a linear programming algorithm;
s4, when the power grid needs to be subjected to load shedding operation, carrying out load shedding operation according to the user group information of the user to be subjected to load shedding, which is obtained in the step S3, and finishing emergency load shedding of the power grid;
s5, repeating the steps S2-S4 to finish the next round of power grid economic load shedding.
The process of the invention is further illustrated below with reference to a specific example:
the emergency load shedding system of the power grid comprises 5 load shedding users (the value range of N is 1-200), and the load shedding power mark of the user N is Ln(in MW), the total amount of the load that can be cut is
Setting and acquiring historical daily electricity consumption load data information (K value range is 30-90) of a power grid load shedding user within K being 30 days, counting and acquiring information before each user n is 30 days, periodically acquiring load electricity consumption data of the power grid load shedding user according to an acquisition time interval of 1 hour by adopting an intelligent ammeter device, acquiring a daily load electricity consumption curve S (K, i, n) of the power grid load shedding user n within K being 30 days and a required response electricity quantity B (K, i, n) of user participation Demand Response (DR), and acquiring an No.i moment economic profit value W (K, i) of the power grid load shedding user, wherein the No.i moment economic profit value W (K, i) is shown in a table 1:
TABLE 1 No.18:00 electric network load shedding user data acquisition information on a certain day
Calculating the average power consumption of all users n at the time of No.18:00
Calculating the economic benefit of the user n in the unit electric quantity at the time of No.18:00
Then the average economic loss of user n in K days is
Calculating the No.i time DR participation aggressiveness of all users n in K days
Setting a threshold value for evaluating participation activity at time No.18:00
Setting a response non-positive set J, merging the response non-positive set J when the participation aggressiveness of the user n DR at the moment is less than the participation aggressiveness evaluation threshold (g (i, n) < beta (i)), and obtaining the response non-positive set J containing the user ID number and the average economic loss information, as shown in Table 2
TABLE 2 No.18:00 electric network load shedding user average economic loss and demand response participation aggressiveness degree information
The total emergency load demand of the power grid at the current moment is L030MW (satisfy L)0≤LS) When the condition that the priority selection response is met, the users do not have an active set J and the total load which can be cut by the users is larger than the power grid L0Under the condition, the average economic loss Q (i, n) is taken as the minimum optimization target, a linear programming method is adopted to obtain the serial numbers of the users participating in the current load shedding, the information of the users to be shed is obtained, the serial numbers of the optimal users are 1,4 and 5, and the list 3 shows
TABLE 3 No.18:00 Power grid to-be-cut load user group results
And the load shedding control master station issues a load shedding command to a corresponding load shedding control terminal according to the obtained serial numbers 1,4 and 5 of the users participating in the load shedding, and the load shedding terminal starts load shedding operation of the corresponding users 1,4 and 5 after receiving the command, so that an emergency load shedding function is realized.
Claims (4)
1. A power grid emergency load method based on demand response participation comprises the following steps:
s1, acquiring historical power utilization data information and economic benefits of a power grid load shedding user;
s2, calculating the average economic loss and the extreme demand response participation product of the power grid load shedding user according to the historical power utilization data information and the economic benefit obtained in the step S1; specifically, the following steps are adopted for calculation:
a. calculating the average power consumption of the nth load shedding user at the ith moment by adopting the following formula
Wherein K is the kth historical day, S (K, i) is the electricity consumption of the nth load shedding user at the ith moment of the kth day, and K is the total days of the historical days;
b. calculating the economic benefit of the unit electric quantity of the nth load shedding user at the ith moment by adopting the following formula
Wherein K is the kth historical day, S (K, i) is the electricity consumption of the nth load shedding user at the ith moment of the kth day, K is the total days of the historical day, and W (K, i) is the economic benefit of the nth load shedding user at the ith moment of the kth day;
c. calculating the average economic loss Q (i, n) of the nth load shedding user in K days by adopting the following formula:
in the formula
The average power consumption of the nth load shedding user at the ith moment,
the unit electric quantity economic benefit of the nth load shedding user at the ith moment is obtained;
d. calculating the demand response participation volume g (i, n) of the nth load shedding user at the ith moment in K days by adopting the following formula:
wherein K is the kth historical day, S (K, i) is the electricity consumption of the nth load shedding user at the ith moment of the kth day, K is the total days of the historical day, and B (K, i) is the response-required electricity quantity of the nth load shedding user participating in the demand response at the ith moment of the kth day;
e. the engagement aggressiveness evaluation threshold β (i) at the ith time is calculated using the following equation:
wherein g (i, N) is the demand response participation maximum of the nth load shedding user at the ith moment in K days, and N is the total number of the load shedding users;
f. when the demand response participation volume g (i, n) of the nth load shedding user at the ith moment in the K days is smaller than the participation activity evaluation threshold value at the ith moment, merging the user and the corresponding data confidence into a response non-activity set J;
s3, calculating to obtain user group information of the user to be subjected to load shedding by taking the minimum average economic loss as an optimization criterion;
and S4, when the power grid needs to be subjected to load shedding operation, carrying out load shedding operation according to the user group information of the user to be subjected to load shedding, which is obtained in the step S3, and finishing emergency load shedding of the power grid.
2. The demand response engagement based grid emergency load method according to claim 1, further comprising the steps of:
s5, repeating the steps S2-S4 to finish the next round of power grid economic load shedding.
3. The power grid emergency load shedding method based on demand response participation of claim 1 or 2, wherein the step S1 is to obtain historical power utilization data information and economic benefits of the power grid load shedding users, and specifically comprises the following steps:
A. determining N load shedding users when the power grid is in emergency load shedding; n is a natural number;
B. determining the load shedding power L of the load shedding user in the step An；n＝1,...,N；
C. Acquiring historical daily electricity load data information of load shedding users in K days;
D. according to the historical daily power consumption load data information obtained in the step C, a daily load power consumption curve of the internally tangent load user at any moment in K days and the required response power consumption of the user participating in the demand response are obtained;
E. and D, obtaining the economic profit value of the load shedding user at any moment according to the daily load electricity utilization curve of the load shedding user at any moment and the required response electricity quantity of the user participating in demand response obtained in the step D.
4. The power grid emergency load shedding method based on demand response participation of claim 3, wherein the user group information of the to-be-shed load users is obtained by calculation with the minimum average economic loss as the optimization criterion in step S3, specifically, the user group information of the to-be-shed load users is obtained by calculation with the following algorithm:
and when the total load cuttable of the load shedding users is greater than the total amount of the emergency load shedding requirements of the power grid at the current moment, the user group information of the to-be-switched load users is calculated by adopting a linear programming algorithm with the average economic loss as the minimum optimization target and with the users in the non-active response set as the criterion.
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