CN114926194A - Electric power demand response pricing method and device based on comprehensive response contribution degree - Google Patents
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Abstract
The embodiment of the invention provides a power demand response pricing method and device based on comprehensive response contribution degree, relating to the technical field of power grid pricing and specifically comprising the following steps of obtaining contribution degree indexes and calculating the contribution degree of each contribution degree index, wherein the obtained contribution degree indexes comprise response time and response power; acquiring a comprehensive contribution degree by utilizing a grey correlation degree algorithm based on the contribution degree of the contribution degree index; the method and the device provided by the invention can solve the technical problems of unmatched response electric quantity benefit settlement and power deviation assessment and the like in the regulation and control process of demand response in the prior art, so as to form stable load and power grid coordination interaction capacity, determine the pricing of power demand response according to the comprehensive response contribution degree, and explore and establish a demand response price mechanism.
Description
Technical Field
The invention relates to the technical field of power grid economic research, in particular to a power demand response pricing method based on comprehensive response contribution degree.
Background
In the face of more complex and variable market environments, the operation of the power market increasingly emphasizes supply-demand interaction, and demand response is one of measures for stimulating demand-side resources to participate in the power market. The demand side resources have the characteristics of diversification, high flexibility and the like, and huge adjustable resources are hidden. The power demand response can adjust the peak-valley fluctuation curve of the power grid, guarantee the safe operation of the power grid, reduce the new energy and abandon the electricity, promote the stable and efficient consumption of the power, and can bring extra economic benefits for power consumers. However, the problem that response electric quantity benefit settlement and power deviation assessment are not matched still exists in the regulation and control process of demand response, so that the actual utilization of demand side resources is restrained by market, technology, benefits and other aspects, stable load and power grid coordination interaction capacity is difficult to form, and the demand response is difficult to play a role in a novel power system. Therefore, finding the response indexes of the power demand response, which influence the response electric quantity profit settlement and the power deviation assessment in the regulation and control process, respectively calculating the contribution degree and the comprehensive response contribution degree of the indexes in the demand response, determining the pricing of the power demand response according to the comprehensive response contribution degree, and exploring and establishing a demand response price mechanism is a core problem which needs to be solved urgently in the current power demand response.
Disclosure of Invention
In view of the above, the present invention provides a power demand response pricing method based on a comprehensive response contribution degree, so as to alleviate the technical problems of mismatch between response electric quantity profit settlement and power deviation assessment in the regulation and control process of demand response in the prior art, to form stable load and power grid coordination interaction capability, determine pricing of power demand response according to the comprehensive response contribution degree, and explore and establish a demand response price mechanism.
In a first aspect, an embodiment of the present invention provides a power demand response pricing method based on a comprehensive response contribution degree, which specifically includes the following steps:
acquiring a contribution degree index and calculating the contribution degree of each contribution degree index, wherein the acquired contribution degree index comprises response time and response power;
acquiring a comprehensive contribution degree by utilizing a grey correlation degree algorithm based on the contribution degree of the contribution degree index;
and acquiring reward money based on the comprehensive contribution degree, and constructing a demand side demand response pricing model to acquire a response price of the demand side resource participating in the power demand response.
Preferably, the step of obtaining the contribution degree index and counting the contribution degree of each of the contribution degree indexes includes:
obtaining a response time contribution degree and a response power contribution degree;
the step of obtaining the response time contribution degree comprises a judging stage and a reward/punishment stage:
determining whether a user of a demand response participates in an effective response;
if yes, entering a reward stage and acquiring the contribution degree of response time;
if not, entering a punishment stage.
Preferably, the step of obtaining the contribution degree indexes and calculating the contribution degree of each of the contribution degree indexes includes:
the step of obtaining the response power contribution degree comprises a judging stage and a rewarding/punishing stage:
judging whether the user deviation examination of the demand response passes;
if the assessment is passed, entering a reward stage and acquiring the contribution degree of response power;
and if the assessment is not passed, entering a punishment stage.
Preferably, the step of determining whether the user of the demand response participates in the effective response includes:
judging whether the actual peak clipping time period of the user participating in the demand response is an effective peak-shaving response time period or not and whether the actual valley filling time period of the user participating in the demand response is greater than the effective valley filling response time period or not;
and if the actual peak clipping time period of the user participating in the demand response is greater than or equal to the effective peak regulation response time period.
Or the actual valley filling time period of the user participating in the demand response is greater than or equal to the effective valley filling response time period;
determining that the user of the demand response participates in the effective response;
if the actual peak clipping time period of the user participating in the demand response is smaller than the effective peak regulation response time period, or the actual valley filling time period of the user participating in the demand response is smaller than the effective valley filling response time period;
it is determined that the user of the demand response is not engaged in a valid response.
Preferably, the method for rewarding the stages and obtaining the response time contribution degree comprises the following steps:
the response time contribution is obtained by the following formula:
α i -peak clipping response time matching degree;
β i -valley fill response time matching;
α i ＝(t' 1i -t 1i )/t' 1i ；
β i ＝(t' 2i -t 2i )/t' 2i ；
t' 1i -a planned peak clipping period for user participation in demand response;
t' 2i -a planned valley fill period for user engagement in demand response;
t 1i -the actual peak clipping period during which the user is engaged in the demand response;
t 2i -actual valley fill time periods for user participation in demand responses;
t 1m -an effective peak shaver response period;
t 2m -a valid valley fill response period;
and acquiring the response time contribution degree brought by all the peak clipping responses and the valley filling responses by adopting the following formula:
wherein, the first and the second end of the pipe are connected with each other,
and with
Respectively representing the response time contribution degrees brought by peak clipping and valley filling responses in a certain calculation period.
Preferably, the step of qualifying whether the user deviation of the demand response passes or not comprises:
if the power grid capacity deviation does not exceed the threshold, judging that the user deviation examination of the demand response is passed;
and if the power grid capacity deviation exceeds the threshold value, judging that the user deviation examination of the demand response is failed.
Preferably, the following formula obtains the response power contribution degree:
X i -peak clipping response power deviation
T i -valley fill response power deviation
p i -the actual peak clipping power of user i;
p 0 -the planned peak clipping power of user i;
v i -the actual valley-fill power of the user,
v 0 -the planned valley-fill power of the user;
λ i,X ＝0.25(s i,1 +2)；
λ i,T ＝0.25(l i,1 +2)；
wherein λ is i,X And λ i,T Respectively representing the values after peak clipping and valley filling response power matching degree normalized mapping;
Preferably, the step of obtaining the comprehensive contribution degree by using the gray relevance degree algorithm for the contribution degree of the contribution degree index includes:
obtaining the grey correlation degree by adopting the following formula:
ρ -resolution factor.
Obtaining the comprehensive contribution degree lambda of the user i by adopting the following formula i The comprehensive contribution degree of (c):
w j -the weight of the jth index;
and acquiring bonus money based on the comprehensive contribution degree, and constructing a demand side demand response pricing model.
Preferably, the step of obtaining the reward money by integrating the contribution degrees and constructing the demand-side demand response pricing model to obtain the response price of the demand-side resource participating in the power demand response comprises the following steps:
obtaining the reward money m obtained by the user i by adopting the following formula b ：
M, the total reward money obtained by the user by participating peak clipping and valley filling is M;
n i -number of responses in which user i participates;
the average reward price obtained by the user i is obtained by adopting the following formula:
q is the demand response volume of user i participation;
the following formula is adopted to obtain the response price for participating in the demand response
P TOU -a corresponding time of use electricity price;
On the other hand, the invention provides an electric power demand response pricing device based on comprehensive response contribution degree, which specifically comprises the following steps:
an acquisition module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring a contribution degree index and calculating the contribution degree of each contribution degree index, and the acquired contribution degree index comprises response time and response power;
a comprehensive contribution degree obtaining module: the gray correlation degree algorithm is used for acquiring a comprehensive contribution degree based on the contribution degree of the contribution degree index;
a price acquisition module: and the system is used for acquiring reward money based on the comprehensive contribution degree and constructing a demand side demand response pricing model to acquire a response price of demand side resource participation power demand response.
The embodiment of the invention brings the following beneficial effects: the embodiment of the invention provides a power demand response pricing method and device based on comprehensive response contribution degree, and the method comprises the following steps of obtaining the contribution degree indexes, calculating the contribution degree of each contribution degree index, and obtaining the contribution degree indexes comprising response time and response power; acquiring a comprehensive contribution degree by utilizing a grey correlation degree algorithm based on the contribution degree of the contribution degree index; the method and the device provided by the invention can solve the technical problems of unmatched response electric quantity benefit settlement and power deviation assessment and the like in the regulation and control process of demand response in the prior art, so as to form stable load and power grid coordination interaction capacity, determine the pricing of power demand response according to the comprehensive response contribution degree, and explore and establish a demand response price mechanism.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a first electric power demand response pricing method based on comprehensive response contribution degree according to an embodiment of the present invention;
fig. 2 is a flowchart of a second electric power demand response pricing method based on comprehensive response contribution degree according to the embodiment of the present invention;
fig. 3 is a flowchart of a third method for pricing a power demand response based on an integrated response contribution according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, demand side resources have the characteristics of diversification, high flexibility and the like, and huge adjustable resources are hidden. The power demand response can adjust the peak-valley fluctuation curve of the power grid, guarantee the safe operation of the power grid, reduce the new energy and abandon the electricity, promote the stable and efficient consumption of the power, and can bring extra economic benefits for power consumers. However, the problem that the settlement of the response electric quantity and the income is not matched with the power deviation examination and the like still exists in the regulation and control process of the demand response, so that the actual utilization of the demand side resource is restrained by various aspects such as market, technology and income, the stable coordination interaction capacity of the load and the power grid is difficult to form, and the demand response is difficult to play a role in a novel power system.
To facilitate understanding of the embodiment, first, a power demand response pricing method and device based on comprehensive response contribution degree disclosed in the embodiment of the present invention are described in detail.
The first embodiment is as follows:
with reference to fig. 1 to fig. 3, an embodiment of the present invention provides a power demand response pricing method based on a comprehensive response contribution degree, which specifically includes the following steps:
acquiring a contribution degree index and calculating the contribution degree of each contribution degree index, wherein the acquired contribution degree index comprises response time and response power;
acquiring a comprehensive contribution degree by utilizing a grey correlation degree algorithm based on the contribution degree of the contribution degree index;
and acquiring reward money based on the comprehensive contribution degree, and constructing a demand side demand response pricing model to acquire a response price of the demand side resource participating in the power demand response.
Preferably, the step of obtaining the contribution degree indexes and calculating the contribution degree of each of the contribution degree indexes includes:
obtaining a response time contribution degree and a response power contribution degree;
the step of obtaining the response time contribution degree comprises a judging stage and a rewarding/punishing stage:
determining whether a user of a demand response participates in an effective response;
if yes, entering a reward stage and acquiring the contribution degree of response time;
if not, entering a punishment stage.
Preferably, the step of obtaining the contribution degree indexes and calculating the contribution degree of each of the contribution degree indexes includes:
the step of obtaining the response power contribution degree comprises a judging stage and a rewarding/punishing stage:
judging whether the user deviation examination of the demand response passes;
if the assessment is passed, entering a reward stage and acquiring the contribution degree of response power;
and if the assessment is not passed, entering a punishment stage.
Preferably, the step of determining whether the user of the demand response participates in the effective response includes:
judging whether the actual peak clipping time period of the user participating in the demand response is an effective peak-shaving response time period or not and whether the actual valley filling time period of the user participating in the demand response is greater than the effective valley filling response time period or not;
and if the actual peak clipping time period of the user participating in the demand response is greater than or equal to the effective peak regulation response time period.
Or the actual valley filling time period of the user participating in the demand response is greater than or equal to the effective valley filling response time period;
determining that the user of the demand response participates in the effective response;
if the actual peak clipping time period of the user participating in the demand response is smaller than the effective peak regulation response time period, or the actual valley filling time period of the user participating in the demand response is smaller than the effective valley filling response time period;
it is determined that the user of the demand response is not engaged in a valid response.
Preferably, the method for rewarding the stages and obtaining the response time contribution degree comprises the following steps:
the response time contribution is obtained by the following formula:
α i -peak clipping response time matching degree;
β i -valley fill response time matching;
α i ＝(t' 1i -t 1i )/t' 1i ；
β i ＝(t' 2i -t 2i )/t' 2i ；
t' 1i planning of user participation in demand responseA peak time period;
t' 2i -a planned valley fill period for user engagement in demand response;
t 1i -the actual peak clipping period during which the user is engaged in the demand response;
t 2i -actual valley fill periods for user engagement in demand response;
t 1m -a valid peak shaver response period;
t 2m -a valid valley fill response period;
furthermore, according to the provincial platform-leaving response amount standard for developing power demand response, the actual peak clipping/valley filling response amount does not exceed 150% of the demand amount;
in the examples provided by the invention, α i And beta i The value range is as follows:
-0.5≤α i ≤(t' 1i -t 1m )/t' 1i ；
-0.5≤β i ≤(t' 2i -t 2m )/t' 2i ；
further, a function of mapping the current value interval to the target interval may be obtained:
wherein, y max Represents the maximum value of the target interval to be mapped, y min Representing the minimum value, x, of the target interval to be mapped max Represents the maximum value of the current data, x min Representing the minimum value of the current data, wherein x is any value in the assumed current data, and y is a value after normalized mapping;
in this way,
matching peak clipping response time with degree alpha i Degree of matching with valley fill response time beta i Substituting the above formula, one can obtain:
and acquiring the response time contribution degree brought by all the peak clipping responses and the valley filling responses by adopting the following formula:
wherein, the first and the second end of the pipe are connected with each other,
and
respectively representing the response time contribution degrees brought by peak clipping and valley filling responses in a certain calculation period.
In the embodiments provided in the present invention, (t) is i -t m )/t' i The proportion of the actual response time period exceeding the effective response time period to the planned response time is determined;
preferably, the step of qualifying whether the user deviation of the demand response passes or not comprises:
if the power grid capacity deviation does not exceed the threshold, judging that the user deviation examination of the demand response is passed;
and if the power grid capacity deviation exceeds a threshold value, judging that the user deviation assessment of the demand response is not passed.
Furthermore, according to the regulation in the GB/T15945 'allowable deviation of frequency of power quality and power system', the deviation does not exceed +/-0.5 Hz for the power grid capacity below 300 ten thousand kilowatts. And the power grid operatesThe safety frequency of the line is at 50Hz, so the deviation ratio is + -1%. If X is more than or equal to-1% i If the deviation is less than or equal to 1%, the deviation assessment of the user is passed, a reward stage is entered, and the response attribute and the reward money of the user are analyzed; if the ratio of X is more than or equal to 1% i If yes, the user is judged to be not subjected to deviation checking, a penalty stage is entered, and penalty money of the user is analyzed;
preferably, the following formula obtains the response power contribution degree:
X i -peak clipping response power deviation
T i -valley fill response power deviation
p i -the actual peak clipping power of user i;
p 0 -the planned peak clipping power of user i;
v i -the actual valley-fill power of the user,
v 0 -the planned valley-fill power of the user;
according to the fifty-third rule of supply business, the allowable deviation of the supply frequency should not exceed ± 1.0 hz under abnormal conditions of the power system. The deviation is 2 times of the safety requirement of the installed capacity power grid of less than 300 ten thousand kilowatts, therefore, the fluctuation of the average deviation of the user i relative to the whole users is 2 times of the absolute value of the average deviation, and the deviation exceeding the range is a fault.
Thus s i,1 And l i,1 The value range is as follows:
-200％≤s i,1 ≤200％
-200％≤l i,1 ≤200％
further, a function of mapping the current value interval to the target interval may be obtained:
wherein, y max Denotes the maximum value of the target interval to be mapped, y min Representing the minimum value, x, of the target interval to be mapped max Represents the maximum value of the current data, x min Representing the minimum value of the current data, x being any value in the assumed current data, and y being the normalized mapped value.
Substituting the matching degree of the peak clipping response power and the matching degree of the valley filling response power into the formula to obtain the following result:
λ i,X ＝0.25(s i,1 +2)；
λ i,T ＝0.25(l i,1 +2)；
wherein λ is i,X And λ i,T Respectively representing the values after peak clipping and valley filling response power matching degree normalized mapping;
In the embodiment provided by the invention, 7 days are taken as a settlement period.
Further, in the embodiment provided by the present invention, for user i, the penalty is denoted as m p ：
Wherein the content of the first and second substances,
indicating an amount of power exceeding the allowable deviation at peak clipping,
indicating an amount of power exceeding the allowable deviation in filling the valley, P TOU Represents the corresponding time-of-use electricity price, K, of the current demand response stage p The penalty coefficient is represented, and 7 days are taken as a settlement period, the reimbursement required to be paid by the user i due to failure of performing the contract every time can be recorded, and the sum is output on the settlement day;
according to the grey correlation theory, the ith object is associated with the grey correlation coefficient which is in positive ideal solution about the jth index
The calculation formula of (2) is as follows:
in this application, k corresponds to j, x 0 (k) Correspond to
x i (k) Corresponds to y ij Due to the factThis is as follows:
ρ is the resolution factor;
obtaining the comprehensive contribution degree lambda of the user i by adopting the following formula i The comprehensive contribution degree of (c):
w j -weight of jth index;
and acquiring bonus money based on the comprehensive contribution degree, and constructing a demand side demand response pricing model.
Preferably, the step of obtaining the reward money by integrating the contribution degrees and constructing the demand-side demand response pricing model to obtain the response price of the demand-side resource participating in the power demand response comprises the following steps:
obtaining the reward money m obtained by the user i by adopting the following formula b ：
M, the total reward money obtained by the user through participating peak clipping and valley filling is M;
n i -number of responses in which user i participates;
acquiring the average reward price obtained by the user i by adopting the following formula:
q is the demand response volume in which the user i participates;
the following formula is adopted to obtain the response price for participating in the demand response
P TOU -corresponding time of use electricity prices;
The second embodiment:
the invention provides an electric power demand response pricing device based on comprehensive response contribution degree, which specifically comprises the following steps:
an acquisition module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring a contribution degree index and calculating the contribution degree of each contribution degree index, and the acquired contribution degree index comprises response time and response power;
a comprehensive contribution degree obtaining module: the gray correlation degree algorithm is used for acquiring a comprehensive contribution degree based on the contribution degree of the contribution degree index;
a price acquisition module: and the system is used for acquiring reward money based on the comprehensive contribution degree and constructing a demand-side demand response pricing model to acquire a response price of the demand-side resource participating in the power demand response.
Unless specifically stated otherwise, the relative steps, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of the present invention.
In all examples shown and described herein, any particular value should be construed as merely exemplary, and not as a limitation, and thus other examples of example embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the following descriptions are only illustrative and not restrictive, and that the scope of the present invention is not limited to the above embodiments: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A power demand response pricing method based on comprehensive response contribution degree is characterized by comprising the following steps:
acquiring a contribution degree index and calculating the contribution degree of each contribution degree index, wherein the acquired contribution degree index comprises response time and response power;
acquiring a comprehensive contribution degree by utilizing a grey correlation degree algorithm based on the contribution degree of the contribution degree index;
and acquiring reward money based on the comprehensive contribution degree, and constructing a demand side demand response pricing model to acquire a response price of the demand side resource participating in the power demand response.
2. The method of claim 1, wherein the step of obtaining the degree of contribution indicator and calculating the degree of contribution of each of the degree of contribution indicators comprises:
obtaining a response time contribution degree and a response power contribution degree;
the step of obtaining the response time contribution degree comprises a judging stage and a rewarding/punishing stage:
determining whether a user of a demand response participates in an effective response;
if yes, entering a reward stage and acquiring the contribution degree of response time;
if not, entering a punishment stage.
3. The method of claim 1, wherein the step of obtaining the degree of contribution indicator and calculating the degree of contribution of each of the degree of contribution indicators comprises:
the step of obtaining the response power contribution degree comprises a judging stage and a rewarding/punishing stage:
judging whether the user deviation examination of the demand response passes;
if the assessment is passed, entering a reward stage and acquiring the contribution degree of response power;
and if the assessment is not passed, entering a punishment stage.
4. The method of claim 2, wherein the step of determining whether the user of the demand response is engaged in a valid response comprises:
judging whether the actual peak clipping time period of the user participating in the demand response is an effective peak-shaving response time period or not and whether the actual valley filling time period of the user participating in the demand response is greater than the effective valley filling response time period or not;
and if the actual peak clipping time period of the user participating in the demand response is greater than or equal to the effective peak regulation response time period.
Or the actual valley filling time period of the user participating in the demand response is greater than or equal to the effective valley filling response time period;
determining that the user of the demand response participates in the effective response;
if the actual peak clipping time period for the user to participate in the demand response is less than the effective peak shaving response time period,
or the actual valley filling time period of the user participating in the demand response is less than the effective valley filling response time period;
it is determined that the user of the demand response is not engaged in a valid response.
5. The method of claim 2, wherein entering the bonus session and obtaining the response time contribution comprises:
the response time contribution is obtained by the following formula:
α i -peak clipping response time matching degree;
β i -valley fill response time matching;
α i ＝(t 1 ' i -t 1i )/t 1 ' i ；
β i ＝(t' 2i -t 2i )/t' 2i ；
t' 1i -a planned peak clipping period for user participation in demand response;
t' 2i -a planned valley fill period for user engagement in demand response;
t 1i -the actual peak clipping period during which the user is engaged in the demand response;
t 2i -actual valley fill time periods for user participation in demand responses;
t 1m -a valid peak shaver response period;
t 2m -a valid valley fill response period;
and acquiring the response time contribution degree brought by all the peak clipping responses and the valley filling responses by adopting the following formula:
wherein, the first and the second end of the pipe are connected with each other,
and with
Respectively representing the response time contribution degrees brought by peak clipping response and valley filling response in a certain calculation period.
6. The method of claim 3, wherein the step of determining whether the user bias qualification for demand response passes comprises:
if the power grid capacity deviation does not exceed the threshold value, judging that the user deviation examination of the demand response is passed;
and if the power grid capacity deviation exceeds the threshold value, judging that the user deviation examination of the demand response is failed.
7. The method of claim 3, wherein the response power contribution is obtained using the following equation:
X i -peak clipping response power deviation
T i -valley fill response power deviation
p i -the actual peak clipping power of user i;
p 0 -the planned peak clipping power of user i;
v i -the actual valley-fill power of the user,
v 0 -the planned valley-fill power of the user;
λ i,X ＝0.25(s i,1 +2)；
λ i,T ＝0.25(l i,1 +2)；
wherein λ is i,X And λ i,T Respectively representing the values after peak clipping and valley filling response power matching degree normalized mapping;
8. The method according to claim 1, wherein the step of obtaining a comprehensive contribution degree by using a gray relevance degree algorithm based on the contribution degree of the contribution degree index comprises:
obtaining the grey correlation degree by adopting the following formula:
rho-resolution factor;
obtaining the comprehensive contribution degree lambda of the user i by adopting the following formula i The comprehensive contribution degree of (c):
w j -weight of jth index;
and acquiring a reward fund based on the comprehensive contribution degree, and constructing a demand side demand response pricing model.
9. The method of claim 1, wherein the step of obtaining a reward based on the aggregate contribution and building a demand-side demand response pricing model to obtain a response price for demand-side resources to participate in the electricity demand response comprises:
obtaining the reward money m obtained by the user i by adopting the following formula b ：
M, the total reward money obtained by the user by participating peak clipping and valley filling is M;
n i -number of responses in which user i participates;
the average reward price obtained by the user i is obtained by adopting the following formula:
q is the demand response volume of user i participation;
the following formula is adopted to obtain the response price for participating in the demand response
P TOU -corresponding time of use electricity prices;
10. A power demand response pricing device based on comprehensive response contribution degree is characterized by comprising the following steps:
an acquisition module: the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring a contribution degree index and counting the contribution degree of each contribution degree index, and the acquired contribution degree index comprises response time and response power;
a comprehensive contribution degree obtaining module: the gray correlation degree algorithm is used for acquiring a comprehensive contribution degree based on the contribution degree of the contribution degree index;
a price acquisition module: and the system is used for acquiring reward money based on the comprehensive contribution degree and constructing a demand side demand response pricing model to acquire a response price of demand side resource participation power demand response.
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| CN117273557B (en) * | 2023-11-20 | 2024-04-19 | 杭州轻舟科技有限公司 | User virtual power plant operation method based on light-EMS, electronic equipment and medium |
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