CN111768127B - Method and system for determining peak shaving auxiliary service expense allocation correction coefficient - Google Patents

Method and system for determining peak shaving auxiliary service expense allocation correction coefficient Download PDF

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CN111768127B
CN111768127B CN202010708109.6A CN202010708109A CN111768127B CN 111768127 B CN111768127 B CN 111768127B CN 202010708109 A CN202010708109 A CN 202010708109A CN 111768127 B CN111768127 B CN 111768127B
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任景
薛晨
马晓伟
吴春燕
张小东
何凯
陈雨果
薛斌
汪洋
王鹏
李俊
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Northwest Branch Of State Grid Corp Of China
Beijing Tsintergy Technology Co ltd
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Abstract

The invention discloses a method and a system for determining peak shaving auxiliary service expense allocation correction coefficient, wherein the method comprises the following steps: determining a wind-light unit allocation correction coefficient by taking the number of guarantee acquisition and utilization hours as a reference, and calculating the generated energy after the wind-light unit is corrected and participates in allocation; calculating the peak regulation cost of the thermal power generating unit i according to the modified generated energy of the wind turbine unit; calculating net peak regulation effect of the thermal power unit i; and (3) enabling the net peak regulation effect to be greater than 0 and equal in peak regulation capacity allocation cost which is not born by each unit, and determining a peak regulation auxiliary service cost allocation correction coefficient of the thermal power unit. The method and the system for determining the peak shaving auxiliary service expense allocation correction coefficient provided by the invention aim at the peak shaving market expense allocation problem, and based on the peak shaving expense allocation method, the method and the system overcome the defect that the allocation result is lack of rationality due to the fact that the allocation correction coefficient is manually determined according to the principle that the profitability is positively correlated with the allocation ratio in the prior art.

Description

Method and system for determining peak shaving auxiliary service expense allocation correction coefficient
Technical Field
The invention relates to the technical field of power grid peak shaving, in particular to a method and a system for determining peak shaving auxiliary service expense allocation correction coefficients.
Background
Auxiliary services refer to the fact that the electric power market provides additional services beyond normal electric energy generation, delivery and use in order to ensure safe and reliable operation of the electric power system and the quality of electric power commodities. All the power plants have the obligation and responsibility for carrying out peak shaving on the power grid, and the power plants which do not or cannot carry out peak shaving on the power grid are used as the apportionors to carry out the cost of peak shaving demands. The allocation amount is closely related to the generated energy, the peak shaving allocation amount of each power plant is in positive correlation with the generated energy, and meanwhile, electric quantity correction is needed by combining different power supply types. However, in the prior art, the correction coefficient of the unit electric quantity in the peak shaving expense allocation method is generally determined manually, so that the allocation result is lack of rationality.
Disclosure of Invention
The invention aims to provide a method for determining peak shaving auxiliary service expense allocation correction coefficients, which aims at the peak shaving market expense allocation problem, and overcomes the defect that the allocation result is lack of rationality due to the fact that the allocation correction coefficients are manually determined according to the principle that the profitability and the allocation ratio are positively correlated on the basis of the peak shaving expense allocation method.
To overcome the above-mentioned drawbacks in the prior art, an embodiment of the present invention provides a method for determining a peak shaver auxiliary service cost allocation correction coefficient, including:
determining a wind-light unit allocation correction coefficient by taking the number of guarantee acquisition and utilization hours as a reference, and calculating the generated energy after the wind-light unit is corrected and participates in allocation;
calculating the peak regulation cost of the thermal power generating unit i according to the modified generated energy of the wind turbine unit; calculating net peak regulation effect of the thermal power unit i;
and (3) enabling the net peak regulation effect to be greater than 0 and equal in peak regulation capacity allocation cost which is not born by each unit, and determining a peak regulation auxiliary service cost allocation correction coefficient of the thermal power unit.
Further, the wind-solar unit allocation correction coefficient is determined based on the number of the guarantee acquisition and utilization hours, and the generated energy after the wind-solar unit is subjected to the allocation correction is calculated; specifically, the following formula is adopted:
k N =0.9 n ;E N_i =B N_i ×k N
wherein T is e T for the number of acquisition hours s To actually utilize the number of hours, k N The wind-solar energy machine set distributes correction coefficients; e (E) N_i Correcting electric quantity for the wind-solar unit; b (B) N_i The actual generating capacity of the wind-solar unit;
the method has the advantages that the proportion of the wind-light units below the guarantee purchase hours is properly reduced, and the proportion of the wind-light units above the guarantee purchase hours is properly increased.
Further, calculating the peak allocation and adjustment cost of the thermal power generating unit i according to the modified generated energy of the wind turbine unit, wherein the peak allocation and adjustment cost is specifically calculated by adopting the following formula:
wherein D is f_i The generated energy after the thermal power unit i is corrected is B f_j The actual power generation amount k of the j-th thermal power generating unit j The correction coefficient of the j th grade; sigma D f_i The total power generation amount after correction is carried out for all the thermal power generating units participating in the allocation; Σe N-i The total power generation amount after correction is carried out for all the wind-solar units participating in the allocation; a is the peak regulating total amount to be shared; a is that i The peak regulation cost is allocated to the thermal power generating unit i; m represents that the allocation proportion is sequentially increased according to the increase and division of the load factor of the thermal power unit and m grades on the basis of the paid peak regulation standard.
Further, the calculating peak shaving effect of the thermal power generating unit i is as follows: the difference between the power generation gain after purchasing the peak shaving capacity and the power generation gain without purchasing the peak shaving capacity.
Further, the calculating the peak shaving effect of the thermal power generating unit i is a difference value between the power generation gain after purchasing the peak shaving capacity and the power generation gain when not purchasing the peak shaving capacity, and specifically includes:
generating revenue C when peak shaving capacity is not purchased j,1 The method comprises the following steps: c (C) i,1 =ρ BG_d (P i 0 -P i * )-F i (P i 0 -P i * );
Wherein ρ is BG_d The electricity price of the net marking rod is the electricity price of the thermal power; p (P) i 0 Generating power for the plan of the unit i; p (P) i * Peak shaving capacity which is needed to be born by the unit i when the peak shaving capacity is not purchased; f (F) i (. Cndot.) is the power generation secondary cost function of the unit j;
F i the expression (-) is as follows: f (F) i (P i )=a i P i 2 +b i P i +c i The method comprises the steps of carrying out a first treatment on the surface of the Wherein P is i For the actual power generation output of the unit i, a i 、b i 、c i Generating cost function coefficients for the unit i;
after purchasing peak shaving capacity, generating benefit C i,2 The method comprises the following steps: c (C) i,2 =ρ BG_d P i 0 -F i (P i 0);
The peak regulation effect of the thermal power generating unit i is as follows: c (C) i =C i,2 -C i,1 =ρ BG_d P i * -(F i (P i 0 )-F i (P i 0 -P i * ))。
Further, the method for determining the peak shaving auxiliary service cost allocation correction coefficient of the thermal power unit according to the net peak shaving utility greater than 0 and equal peak shaving capacity allocation cost not born by each unit comprises the following steps of:
in the method, in the process of the invention,indicating net peak regulation effect of unit i, A i Representing peak regulation cost of unit i allocation, P i * The peak regulation capacity which the unit i needs to bear when the peak regulation capacity is not purchased is represented; the net peak regulation effect of the thermal power generating unit is as follows: />Representing peak regulation effect of unit i。
The embodiment of the invention also provides a system for determining the peak shaving auxiliary service expense allocation correction coefficient, which comprises the following steps:
the wind-light unit allocation correction coefficient calculation unit is used for determining a wind-light unit allocation correction coefficient by taking the number of guarantee acquisition and utilization hours as a reference and calculating the generated energy after the wind-light unit is subjected to the allocation correction;
the net peak regulation utility calculating unit is used for calculating the peak regulation cost of the thermal power generating unit i according to the modified generated energy of the wind turbine unit; calculating net peak regulation effect of the thermal power unit i;
and the thermal power unit allocation correction coefficient calculation unit is used for making the net peak regulation effect larger than 0 and the allocation cost of the peak regulation capacity which is not born by each unit equal to determine the auxiliary service cost allocation correction coefficient of the thermal power unit.
Further, the net peak shaving utility calculating unit is further configured to calculate a peak shaving utility of the thermal power generating unit i according to a difference between the power generation gain after purchasing the peak shaving capacity and the power generation gain when not purchasing the peak shaving capacity.
The embodiment of the invention also provides a computer terminal device, which comprises:
one or more processors;
a memory coupled to the processor for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of determining peak shaver auxiliary service charge allocation correction coefficients as described above.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, the computer program being executed by a processor to implement the method for determining peak shaver auxiliary service charge allocation correction coefficients as described above.
Compared with the prior art, the method and the device aim at peak shaving market expense allocation, based on a peak shaving expense allocation method, the positive correlation principle is formed according to the profitability and the allocation ratio, and the defect that the allocation result lacks rationality due to the fact that the allocation correction coefficient is manually determined in the prior art is overcome.
Drawings
FIG. 1 is a flow chart of a method for determining peak shaver auxiliary service charge sharing correction coefficients according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of a system for determining peak shaver auxiliary service charge sharing correction coefficients according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the step numbers used herein are for convenience of description only and are not limiting as to the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to fig. 1, an embodiment of the present invention provides a method for determining a peak shaver auxiliary service cost allocation correction coefficient, including:
s10, determining a wind-light unit allocation correction coefficient by taking the number of guarantee acquisition and utilization hours as a reference, and calculating the generated energy after the wind-light unit is subjected to allocation correction;
in the step, the wind-solar unit allocation correction coefficient is determined by taking the number of guarantee acquisition and utilization hours as a reference, and the generated energy after the wind-solar unit participating in allocation is corrected is calculated; the following formula is adopted:
k N =0.9 n ;E N_i =B N_i ×k N
wherein T is e T for the number of acquisition hours s To actually utilize the number of hours, k N The wind-solar energy machine set distributes correction coefficients; e (E) N_i Correcting electric quantity for the wind-solar unit; b (B) N_i The actual generating capacity of the wind-solar unit;
the design principle of the wind-solar component allocation correction coefficient is as follows: and taking the number of the guarantee purchase hours as a limit, properly reducing the allocation proportion of the wind-light units below the number of the guarantee purchase hours, and properly increasing the allocation proportion of the wind-light units above the number of the guarantee purchase hours.
S20, calculating the i allocation peak regulation cost of the thermal power unit according to the modified generated energy of the wind-solar unit; calculating net peak regulation effect of the thermal power unit i;
in this step, the peak shaving effect of the thermal power generating unit with the load factor greater than the compensated peak shaving reference is increased as the power generation gain without bearing the peak shaving obligation.
Calculating the peak allocation and adjustment cost of the thermal power generating unit i according to the modified generated energy of the wind turbine unit, wherein the peak allocation and adjustment cost is specifically calculated by adopting the following formula:
wherein D is f_i The generated energy after the thermal power unit i is corrected is B f_j Is the j-th thermal power generating unitThe inter-generation amount, k j The correction coefficient of the j th grade; sigma D f_i The total power generation amount after correction is carried out for all the thermal power generating units participating in the allocation; Σe N-i The total power generation amount after correction is carried out for all the wind-solar units participating in the allocation; a is the peak regulating total amount to be shared; a is that i The peak regulation cost is allocated to the thermal power generating unit i; wherein D is f_i The calculation method of (1) is as follows: according to the difference of actual load rates in the deep peak regulation transaction period, the thermal power generating unit participating in the allocation is increased according to the load rate on the basis of paid peak regulation standard, and the allocation specific weight is sequentially increased according to m grades, so that the 'step' -shaped allocation is performed.
Further, in the step, the calculating the peak shaving effect of the thermal power generating unit i is a difference between the power generation gain after purchasing the peak shaving capacity and the power generation gain when not purchasing the peak shaving capacity, and specifically includes:
generating revenue C when peak shaving capacity is not purchased j,1 The method comprises the following steps: c (C) i,1 =ρ BG_d (P i 0 -P i * )-F i (P i 0 -P i * );
Wherein ρ is BG_d The electricity price of the net marking rod is the electricity price of the thermal power; p (P) i 0 Generating power for the plan of the unit i; p (P) i * Peak shaving capacity which is needed to be born by the unit i when the peak shaving capacity is not purchased; f (F) i (. Cndot.) is the power generation secondary cost function of the unit j;
F i the expression (-) is as follows: f (F) i (P i )=a i P i 2 +b i P i +c i The method comprises the steps of carrying out a first treatment on the surface of the Wherein P is i For the actual power generation output of the unit i, a i 、b i 、c i And the power generation cost function coefficient of the unit i.
After purchasing peak shaving capacity, generating benefit C i,2 The method comprises the following steps: c (C) i,2 =ρ BG_d P i 0 -F i (P i 0 )
The peak regulation effect of the thermal power generating unit i is as follows: c (C) i =C i,2 -C i,1 =ρ BG_d P i * -(F i (P i 0 )-F i (P i 0 -P i * ))。
S30, enabling the net peak shaving effect to be greater than 0 and the peak shaving capacity allocation cost not born by each unit to be equal, and determining the auxiliary service cost allocation correction coefficient of the thermal power unit peak shaving.
In the step, the design of the thermal power generating unit allocation correction coefficient meets the following two principles:
(1) In order to ensure the benefit of the unit, the net peak regulation effect of each thermal power unit after peak regulation cost is allocated is greater than 0;
(2) In order to ensure fairness of cost allocation, the cost of peak regulation capacity allocation which is not born by each unit should be equal.
The method is specifically calculated by adopting the following equation:
in the method, in the process of the invention,indicating net peak regulation effect of unit i, A i Representing peak regulation cost of unit i allocation, P i * The peak regulation capacity which the unit i needs to bear when the peak regulation capacity is not purchased is represented; the net peak regulation effect of the thermal power generating unit is as follows: />The peak regulation effect of the unit i is represented; and obtaining the relation of each correction coefficient by solving the equation set.
Aiming at the peak regulation market cost allocation problem, the embodiment of the invention forms a positive correlation principle according to the benefit degree and the allocation ratio on the basis of a peak regulation cost allocation method, namely a principle of 'who benefits and who bears cost', and overcomes the defect that the allocation result is lack of rationality due to the fact that the allocation correction coefficient is manually determined in the prior art.
In order to help understand the method for determining peak-shaving auxiliary service expense allocation correction method coefficients provided by the invention, one embodiment of the invention provides a specific calculation process of substituted values:
(1) The wind-solar unit allocation correction coefficient determining method comprises the following steps:
based on Gansu province, the actual utilization hours of wind power and photovoltaic in 2018 Gansu province are 1807h and 1397h respectively, and the national approval guarantee acquisition hours are 1800h and 1500h respectively. Substituting the following formula:
calculated correction coefficients of wind power generation and photovoltaic power generation are 1.007 and 0.897 respectively, and then are substituted into E N_i =B N_i ×k N And calculating a correction ration.
(2) Thermal power unit allocation correction coefficient determining method
Calculating the peak allocation and adjustment cost of the thermal power generating unit i according to the modified generated energy of the wind turbine unit, wherein the peak allocation and adjustment cost is specifically calculated by adopting the following formula:
in this embodiment, the thermal power generating units participating in the allocation are increased according to the load factor, and the allocation proportion is increased in 3 steps in sequence, namely, m=3 is taken, so as to obtain correction coefficients corresponding to the load factors of different thermal power generating units as shown in table 1:
TABLE 1
Then, 3 thermal power units with installation of 1000MW, 600MW and 330MW are selected for analysis, and when peak shaving auxiliary service is not considered, the daily planned load rate and the power generation power of the thermal power units are shown in table 2:
TABLE 2
Assume that there are a waste-wind power of 54MWh and a waste-light power of 10 MWh. If the peak shaving capacity is purchased and the price of the peak shaving capacity is 191.4 yuan/MWh, the peak shaving cost A=that needs to be paid12250 yuan.
Under the condition that the peak shaving capacity is not purchased, the planned output values of the thermal power 1, the thermal power 2 and the thermal power 3 with the load rate larger than the paid peak shaving standard are required to be uniformly reduced to the same load rate, and the adjusted power generation plan, namely the planned output value of the unit and the obligation peak shaving capacity under the condition that the peak shaving capacity is not purchased are shown in the table 3:
TABLE 3 Table 3
The electricity price of a known thermal power on-line mark rod is 297.8 yuan/MWh, and the electricity generation cost coefficient is a 1 =0.0033、b 1 =171.51、c 1 =1172.7,a 2 =0.0036、b 2 =171.51、c 2 =1082.5,a 3 =0.0042、b 3 =171.51、c 3 = 938.17. The planned output of wind power and photovoltaic was 284MW and 110MW. According to formula C i,1 =ρ BG_d (P i 0 -P i * )-F i (P i 0 -P i * ) The peak shaving effect of each thermal power generating unit is calculated and obtained as shown in table 4.
Table 4 finally, according to the formula:
solving the equation set to obtain each correction coefficient needs to satisfy the following relationship:
k 2 =1.5k 1
k 3 =2.3k 1
referring to fig. 2, an embodiment of the present invention further provides a system for determining a peak shaver auxiliary service cost allocation correction method coefficient, including:
the wind-light unit allocation correction coefficient calculation unit 01 is used for determining a wind-light unit allocation correction coefficient by taking the number of guarantee acquisition and utilization hours as a reference and calculating the generated energy after the wind-light unit is subjected to the allocation correction;
the net peak regulation utility calculating unit 02 is used for calculating the peak regulation cost of the thermal power generating unit i according to the modified generated energy of the wind-solar unit; calculating net peak regulation effect of the thermal power unit i;
the thermal power unit allocation correction coefficient calculation unit 03 is used for making the net peak regulation effect larger than 0 and the peak regulation capacity allocation cost not born by each unit equal to determine the thermal power unit peak regulation auxiliary service cost allocation correction coefficient.
Further, the net peak shaving utility calculating unit 02 is further configured to calculate the peak shaving utility of the thermal power generating unit i according to a difference between the power generation gain after purchasing the peak shaving capacity and the power generation gain when not purchasing the peak shaving capacity.
An embodiment of the present invention further provides a computer terminal device, including:
one or more processors;
a memory coupled to the processor for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of determining peak shaver auxiliary service charge allocation correction coefficients as described above.
The processor is used for controlling the whole operation of the computer terminal equipment so as to complete all or part of the steps of the full-automatic electricity consumption prediction method. The memory is used to store various types of data to support operation at the computer terminal device, which may include, for example, instructions for any application or method operating on the computer terminal device, as well as application-related data. The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk or optical disk.
The computer terminal device may be implemented by one or more application specific integrated circuits (Application Specific 1ntegrated Circuit, abbreviated AS 1C), digital signal processors (Digital Signal Processor, abbreviated AS DSP), digital signal processing devices (Digital Signal Processing Device, abbreviated DSPD), programmable logic devices (Programmable Logic Device, abbreviated AS PLD), field programmable gate arrays (Field Programmable Gate Array, abbreviated AS FPGA), controllers, microcontrollers, microprocessors or other electronic components for performing the method for determining peak shaver auxiliary service cost allocation correction coefficients according to any of the above embodiments, and achieving the technical effects consistent with the method described above.
An embodiment of the invention also provides a computer-readable storage medium comprising program instructions which, when executed by a processor, implement the steps of a method of determining peak shaver auxiliary service charge allocation correction coefficients as described in any of the embodiments above. For example, the computer readable storage medium may be a memory including program instructions as described above, where the program instructions are executable by a processor of a computer terminal device to perform a method for determining peak shaver auxiliary service charge allocation correction coefficients according to any of the embodiments described above, and achieve technical effects consistent with the method described above.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.

Claims (8)

1. A method of determining peak shaver auxiliary service charge allocation correction factors, comprising:
determining a wind-light unit allocation correction coefficient by taking the number of guarantee acquisition and utilization hours as a reference, and calculating the generated energy after the wind-light unit is corrected and participates in allocation;
calculating the peak regulation cost of the thermal power generating unit i according to the modified generated energy of the wind turbine unit; the following formula is specifically adopted:
wherein D is f_i The generated energy after the thermal power unit i is corrected is B f_j The actual power generation amount k of the j-th thermal power generating unit j The correction coefficient of the j th grade; sigma D f_i The total power generation amount after correction is carried out for all the thermal power generating units participating in the allocation; Σe N-i The total power generation amount after correction is carried out for all the wind-solar units participating in the allocation; a is the peak regulating total amount to be shared; a is that i The peak regulation cost is allocated to the thermal power generating unit i; m represents that the allocation proportion is sequentially increased according to the increase and division of the load rate of the thermal power unit and m grades on the basis of paid peak regulation standard;
calculating net peak regulation effect of the thermal power unit i;
the net peak regulation effect is larger than 0 and the peak regulation capacity allocation cost which is not born by each unit is equal, and the peak regulation auxiliary service cost allocation correction coefficient of the thermal power unit is determined; wherein the following equation set is used for calculation:
in the method, in the process of the invention,indicating net peak regulation effect of unit i, A i Representing peak regulation cost of unit i allocation, P i * The peak regulation capacity which the unit i needs to bear when the peak regulation capacity is not purchased is represented; the net peak regulation effect of the thermal power generating unit is as follows: />C i The peak shaving effect of the unit i is shown.
2. The method for determining peak shaver auxiliary service charge allocation correction coefficients according to claim 1, wherein the wind-solar unit allocation correction coefficients are determined based on the number of guaranteed acquisition and utilization hours, and the generated energy after the wind-solar units participating in allocation are corrected is calculated; specifically, the following formula is adopted:
k N =0.9 n ;E N_i =B N_i ×k N
wherein T is e T for the number of acquisition hours s To actually utilize the number of hours, k N The wind-solar energy machine set distributes correction coefficients; e (E) N_i Correcting electric quantity for the wind-solar unit; b (B) N_i The actual generating capacity of the wind-solar unit;
the method has the advantages that the proportion of the wind-light units below the guarantee purchase hours is properly reduced, and the proportion of the wind-light units above the guarantee purchase hours is properly increased.
3. The method for determining peak shaver auxiliary service charge allocation correction coefficients according to claim 1, wherein the calculating the peak shaver utility of the thermal power generating unit i is as follows:
the difference between the power generation gain after purchasing the peak shaving capacity and the power generation gain without purchasing the peak shaving capacity.
4. The method for determining peak shaver auxiliary service charge allocation correction coefficient according to claim 3, wherein the calculating the peak shaver effect of the thermal power generating unit i is a difference between the power generation gain after purchasing the peak shaver capacity and the power generation gain without purchasing the peak shaver capacity, specifically comprises:
generating revenue C when peak shaving capacity is not purchased i,1 The method comprises the following steps: c (C) i,1 =ρ BG_d (P i 0 -P i * )-F i (P i 0 -P i * );
Wherein ρ is BG_d The electricity price of the net marking rod is the electricity price of the thermal power; p (P) i 0 Generating power for the plan of the unit i; p (P) i * Peak shaving capacity which is needed to be born by the unit i when the peak shaving capacity is not purchased; f (F) i (. Cndot.) is the power generation secondary cost function of the unit i;
F i the expression (-) is as follows: f (F) i (P i )=a i P i 2 +b i P i +c i The method comprises the steps of carrying out a first treatment on the surface of the Wherein P is i For the actual power generation output of the unit i, a i 、b i 、c i Generating cost function coefficients for the unit i;
after purchasing peak shaving capacity, generating benefit C i,2 The method comprises the following steps: c (C) i,2 =ρ BG_d P i 0 -F i (P i 0 );
The peak shaving effect of the thermal power generating unit i is as follows: c (C) i =C i,2 -C i,1 =ρ BG_d P i * -(F i (P i 0 )-F i (P i 0 -P i * ))。
5. A system for determining peak shaver auxiliary service charge allocation correction factors, comprising:
the wind-light unit allocation correction coefficient calculation unit is used for determining a wind-light unit allocation correction coefficient by taking the number of guarantee acquisition and utilization hours as a reference and calculating the generated energy after the wind-light unit is subjected to the allocation correction;
the net peak regulation utility calculating unit is used for calculating the peak regulation cost of the thermal power generating unit i according to the modified generated energy of the wind turbine unit; the following formula is specifically adopted:
wherein D is f_i The generated energy after the thermal power unit i is corrected is B f_j The actual power generation amount k of the j-th thermal power generating unit j The correction coefficient of the j th grade; sigma D f_i The total power generation amount after correction is carried out for all the thermal power generating units participating in the allocation; Σe N-i The total power generation amount after correction is carried out for all the wind-solar units participating in the allocation; a is the peak regulating total amount to be shared; a is that i The peak regulation cost is allocated to the thermal power generating unit i; m represents that the allocation proportion is sequentially increased according to the increase and division of the load rate of the thermal power unit and m grades on the basis of paid peak regulation standard;
calculating net peak regulation effect of the thermal power unit i;
the thermal power unit allocation correction coefficient calculation unit is used for making the net peak regulation effect larger than 0 and the peak regulation capacity allocation cost not born by each unit equal to determine the thermal power unit peak regulation auxiliary service cost allocation correction coefficient; wherein the following equation set is used for calculation:
in the method, in the process of the invention,indicating net peak regulation effect of unit i, A i Representing peak regulation cost of unit i allocation, P i * The peak regulation capacity which the unit i needs to bear when the peak regulation capacity is not purchased is represented; the net peak regulation effect of the thermal power generating unit is as follows: />C i The peak shaving effect of the unit i is shown.
6. The system for determining peak shaver auxiliary service charge allocation correction factors according to claim 5, wherein the net peak shaver utility calculating unit is further configured to calculate the peak shaver utility of the thermal power generating unit i based on a difference between the generated revenue after purchasing the peak shaver capacity and the generated revenue without purchasing the peak shaver capacity.
7. A computer terminal device, comprising:
one or more processors;
a memory coupled to the processor for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of determining peak shaver auxiliary service charge allocation correction coefficients as set forth in any one of claims 1 to 4.
8. A computer readable storage medium having stored thereon a computer program, the computer program being executable by a processor to perform a method of determining peak shaver auxiliary service charge allocation correction coefficients according to any one of claims 1 to 4.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016098759A (en) * 2014-11-25 2016-05-30 株式会社ケーヒン Electronic control device
CN108539731A (en) * 2018-01-25 2018-09-14 国家电网公司 A kind of compensation of peak regulation ancillary service cost and Computation for apportionment method
CN110232585A (en) * 2019-04-26 2019-09-13 国电南瑞科技股份有限公司 A kind of depth peak regulation market cost allocation method and system
CN110766482A (en) * 2019-11-18 2020-02-07 广西电网有限责任公司 Deep peak regulation compensation cost allocation method and device considering power supply peak regulation quality
CN110929959A (en) * 2019-12-11 2020-03-27 国网安徽省电力有限公司 Power grid local depth peak regulation cost allocation method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016098759A (en) * 2014-11-25 2016-05-30 株式会社ケーヒン Electronic control device
CN108539731A (en) * 2018-01-25 2018-09-14 国家电网公司 A kind of compensation of peak regulation ancillary service cost and Computation for apportionment method
CN110232585A (en) * 2019-04-26 2019-09-13 国电南瑞科技股份有限公司 A kind of depth peak regulation market cost allocation method and system
CN110766482A (en) * 2019-11-18 2020-02-07 广西电网有限责任公司 Deep peak regulation compensation cost allocation method and device considering power supply peak regulation quality
CN110929959A (en) * 2019-12-11 2020-03-27 国网安徽省电力有限公司 Power grid local depth peak regulation cost allocation method

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
Peak Power Load and Energy Costs Using the Example of the Startup and Idling of a Grinding Machine;Henning Voe.etc;Procedia CIRP;第324-329页 *
东北电网电力调峰辅助服务市场设计与实践;刘永奇等;电力系统自动化;第148-154页 *
基于火电机组容量差异的调峰辅助服务补偿机制改进模型;赵晓丽;王玫;赵越;吴秋兵;;电力系统自动化(第04期);第57-61页 *
调峰市场效用分析与低谷调峰市场设计;梅坚;杨立兵;李晓刚;邹斌;;电力系统自动化(第21期);第134-138+175页 *
辅助服务市场下煤电的托底与让路;杜习文;吴宝富;;中国电力企业管理(第07期);第67-69页 *
通过用户侧提高发电侧电力资源效率的优化模型研究;岳海涛;中国优秀博士学位论文全文数据库;J150-46 *
高比例风电并网下基于卡尔多改进的深度调峰机制;菅学辉;张利;杨立滨;韩学山;王明强;;电力系统自动化(第08期);第110-118页 *

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