CN116131333A - Adjustable capacity calculation method and system of thermal power peak shaving unit - Google Patents

Adjustable capacity calculation method and system of thermal power peak shaving unit Download PDF

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CN116131333A
CN116131333A CN202310043250.2A CN202310043250A CN116131333A CN 116131333 A CN116131333 A CN 116131333A CN 202310043250 A CN202310043250 A CN 202310043250A CN 116131333 A CN116131333 A CN 116131333A
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value
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韦洪波
江雄烽
阮诗迪
陈权崎
曹伟
叶桂南
韦昌福
张雄宝
刘雯
齐鹏辉
龚舒
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Guangxi Power Grid Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004Generation forecast, e.g. methods or systems for forecasting future energy generation
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously

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Abstract

The application belongs to the field of power systems, and particularly relates to an adjustable capacity calculation method and system of a thermal power peak shaver set. The method comprises the following steps: generating plan data of new energy generator under t period
Figure DDA0004051307710000011
And real-time output data P t Calculating the plan deviation value delta P at t period t The method comprises the steps of carrying out a first treatment on the surface of the Generating plan data of new energy generator under t+1 period
Figure DDA0004051307710000012
From the planned deviation value DeltaP at time t t Calculating the output predicted value of the new energy generator in the t+1 period
Figure DDA0004051307710000013
Obtaining the sum of power generation planned values of thermal power generating units with all zone bits of 1 in t+1 time period
Figure DDA0004051307710000014
Acquiring a tie-line switching power plan value
Figure DDA0004051307710000015
Full-network load predicted value P of t+1 time period and power generation planned value of nuclear power of t+1 time period
Figure DDA0004051307710000016
By means of
Figure DDA0004051307710000017
P is as follows
Figure DDA0004051307710000018
Calculating thermal power adjustable capacity delta P participating in electric peak regulation market T . The utility model provides a thermal power peak shaver set adjustable capacity calculation method, which considers the deviation condition of power supply types with strong fluctuation of gas electricity, water electricity, wind electricity, photovoltaic and the like, and improves the calculation accuracy of thermal power adjustable capacity in the electric peak shaver market.

Description

Adjustable capacity calculation method and system of thermal power peak shaving unit
Technical Field
The application belongs to the field of power systems, and particularly relates to an adjustable capacity calculation method and system of a thermal power peak shaver set.
Background
Since electric energy cannot be stored in a large amount, the generation and use of electric energy are synchronized, i.e. how much electric energy is needed, and the power generation department has to generate how much electric energy synchronously. In actual production labor, the power consumption load in the power system is changed frequently, and in order to maintain the power balance and keep the system frequency stable, the power generation department needs to correspondingly change the output of the generator to adapt to the change of the power consumption load.
At present, common power supply types in a power system mainly comprise thermal power, nuclear power, gas-electricity, hydroelectric power, wind power, photovoltaic power and the like. On one hand, as the living standard is improved, the proportion of the living electricity and the commercial electricity is increased, the peak load and valley load difference of the power grid is larger and larger, and larger peak regulation requirement is brought; on the other hand, with the rapid development of a novel power system taking new energy as a main body, the new energy in the forms of large-scale wind power, photovoltaic and the like is connected into the power system, the off-peak regulation capacity of the power system is seriously reduced, the peak regulation pressure is increasingly increased, and more peak regulation tasks of the power system are required to be born by the thermal power generating unit, so that the peak regulation capacity of the thermal power generating unit is required to be calculated by the power system.
The current method for calculating the thermal power peak regulation capacity mainly comprises the following steps: and directly calculating the peak regulating capacity born by the thermal power according to the daily planned values of various power supplies. However, in the technical background that new energy sources such as wind power and photovoltaic are widely applied, especially in areas with high grid connection capacity of new energy sources such as wind power and photovoltaic, the planned value of the new energy sources such as wind power and photovoltaic can be in a certain error with the actual generation due to unstable power generation of the new energy sources such as wind power and photovoltaic. Based on the error, it is known that the peak shaving capacity borne by the thermal power generating unit obtained by direct calculation is not accurate in practice.
The peak regulation capacity born by the thermal power generating unit cannot be accurately calculated, and a certain risk is caused to the running of the power grid besides the full consumption of new energy cannot be realized. Therefore, how to improve the calculation accuracy of peak shaving capacity borne by thermal power is an urgent need to solve the technical problem.
Disclosure of Invention
In order to solve or improve the problems, the invention provides a method and a system for calculating the adjustable capacity of a thermal power peak shaver set, which concretely comprises the following technical scheme:
the invention provides a calculation method of adjustable capacity of a thermal power peak shaver set, which comprises the following steps: step 1: acquiring power generation plan data of new energy generator in t period
Figure BDA0004051307690000021
And real-time output data P t Using the power generation plan data +.>
Figure BDA0004051307690000022
And real-time output data P t Calculating the plan deviation value delta P under t period t . Step 2: acquiring power generation plan data of new energy generator in t+1 period->
Figure BDA0004051307690000023
Using the plan deviation value DeltaP at time t t And the power generation plan data->
Figure BDA0004051307690000024
Calculating the predicted output value of the new energy generator in the t+1 period>
Figure BDA0004051307690000025
Step 3: acquiring the zone bit of all thermal power generating units in the whole network in the t+1 period from the electric peak regulation market system, wherein the zone bit comprises 0 and 1, and acquiring the sum of power generation planned values of the thermal power generating units with the zone bit of 1 in the t+1 period based on the zone bit>
Figure BDA0004051307690000026
Acquiring a tie-line switching power plan value +.>
Figure BDA0004051307690000027
Full-network load predicted value P of t+1 period and power generation planned value of nuclear power of t+1 period +.>
Figure BDA0004051307690000028
Step 4: utilizing the predicted value of the output of the new energy generator in the t+1 period
Figure BDA0004051307690000029
The sum of power generation planned values of the thermal power generating unit is +.>
Figure BDA00040513076900000212
Said tie-line switching power schedule value +.>
Figure BDA00040513076900000210
the whole network load predicted value P of the t+1 period and the power generation planned value +.>
Figure BDA00040513076900000211
Calculating thermal power adjustable capacity delta P participating in electric peak regulation market T
Preferably, the step 4 includes: calculating thermal power adjustable capacity delta P participating in electric peak regulation market T The formula of (2) is:
Figure BDA00040513076900000213
wherein P is a whole network load predicted value of t+1 time period, < >>
Figure BDA00040513076900000215
Exchanging power schedule values for the tie-lines, +.>
Figure BDA00040513076900000214
Generating planned value of nuclear power in t+1 period, < >>
Figure BDA00040513076900000219
Predicted value of output of new energy generator in t+1 period,/>
Figure BDA00040513076900000218
And the power generation plan value is the power generation plan value of the nuclear power in the t+1 period.
Preferably, the step 1 includes: calculating the plan deviation value delta P under t period t The formula of (2) is:
Figure BDA00040513076900000216
wherein ,/>
Figure BDA00040513076900000217
Generating plan data of new energy generator in t period, P t And the real-time output data of the new energy generator is t time periods.
Preferably, the step 2 includes: calculating the output predicted value of the new energy generator in the t+1 period
Figure BDA00040513076900000220
The formula of (2) is: />
Figure BDA00040513076900000221
wherein ,/>
Figure BDA00040513076900000222
Is the power generation plan data of the new energy generator in the period of t+1, delta P t Is the planned deviation value at time t.
Preferably, the generation plan data of the new energy generator under the period of t is obtained
Figure BDA0004051307690000031
And real-time output data P t Comprising: acquiring power generation plan data of a gas-electricity, water-electricity, wind-electricity and photovoltaic generator under t time period +.>
Figure BDA0004051307690000032
And real-time output data P t
Preferably, the generating plan data of the new energy generator in the t+1 period is obtained
Figure BDA0004051307690000033
Comprising the following steps: acquiring power generation plan data of a gas-electricity, water-electricity, wind-electricity and photovoltaic generator in t+1 period +.>
Figure BDA0004051307690000034
Preferably, the interconnecting line exchange power plan value in the step 4
Figure BDA0004051307690000035
Comprising the following steps: when the sum of the switching powers of all the links is positive +.>
Figure BDA0004051307690000036
Taking a positive value; when the sum of the switching powers of all links is negative +.>
Figure BDA0004051307690000037
Take a negative value.
The application provides an adjustable capacity computing system of a thermal power peak shaver unit based on a first attack invention conception, which comprises the following components: deviation value calculation unit: acquiring power generation plan data of new energy generator in t period
Figure BDA0004051307690000038
And real-time output data P t Generating plan data of the new energy generator under t period>
Figure BDA0004051307690000039
And real-time output data P t Calculating the plan deviation value delta P under t period t . Output value prediction unit: acquiring power generation plan data of new energy generator in t+1 period->
Figure BDA00040513076900000310
Using the plan deviation value DeltaP at time t t Generating schedule data of the new energy generator in t+1 period +.>
Figure BDA00040513076900000311
Calculating the predicted output value of the new energy generator in the t+1 period>
Figure BDA00040513076900000312
A data acquisition unit: acquiring zone bits of all thermal power units t+1 time periods of the whole network from an electric peak regulation market system, wherein the zone bits comprise 0 and 1, and acquiring the sum of power generation planned values of the thermal power units with the t+1 time periods 1 based on the zone bits>
Figure BDA00040513076900000313
A second data acquisition unit: acquiring a tie-line switching power plan value
Figure BDA00040513076900000314
Full-network load predicted value P of t+1 period and power generation planned value of nuclear power of t+1 period +.>
Figure BDA00040513076900000315
Thermal power generator adjustable capacity calculating unit: output prediction value of new energy generator under t+1 period>
Figure BDA00040513076900000316
The sum of power generation planned values of the thermal power generating unit is +.>
Figure BDA00040513076900000317
Said tie-line switching power schedule value +.>
Figure BDA00040513076900000319
the whole network load predicted value P of the t+1 period and the power generation planned value +.>
Figure BDA00040513076900000318
Calculating the adjustable capacity delta P of the thermal power generator T
The beneficial effects of the invention are as follows: the utility model provides a thermal power peak shaver set adjustable capacity calculation method, which considers the deviation condition of power supply types with strong fluctuation of gas electricity, wind electricity, photovoltaic and the like, and effectively improves the thermal power adjustable capacity calculation accuracy in the electric peak shaver market under the condition of full consumption of clean energy.
Drawings
Fig. 1 is a flowchart of a method for calculating an adjustable capacity of a thermal power peak shaver set according to an embodiment of the invention.
Fig. 2 is a schematic block diagram of an adjustable capacity computing system of a thermal power peak shaver set according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. 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 terms "comprises" and "comprising," when used in this specification and the appended claims, specify 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.
It is also 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.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
In order to solve or improve the technical problem of calculation accuracy of peak shaving capacity borne by thermal power, the application provides a calculation method of adjustable capacity of a thermal power peak shaving unit, a flow chart of the method is shown in fig. 1, and the calculation method of adjustable capacity of the thermal power peak shaving unit comprises the following steps:
s1: acquiring power generation plan data of new energy generator in t period
Figure BDA0004051307690000051
And real-time output data P t Using the power generation plan data +.>
Figure BDA0004051307690000052
And real-time output data P t Calculating the plan deviation value delta P under t period t
Specifically, the plan deviation value DeltaP at t time period is calculated t The formula of (2) is:
Figure BDA0004051307690000053
wherein ,/>
Figure BDA0004051307690000054
Generating plan data of new energy generator in t period, P t And the real-time output data of the new energy generator is t time periods.
In practical application, the power generation plan data of the new energy generator under the period t
Figure BDA0004051307690000055
And real-time output data P t Can be obtained from a power grid operation control system.
S2: acquiring power generation plan data of new energy generator in t+1 period
Figure BDA0004051307690000056
Using the plan deviation value DeltaP at time t t And the power generation plan data->
Figure BDA0004051307690000057
Calculating the output of the new energy generator in the t+1 periodForce prediction value->
Figure BDA0004051307690000058
Specifically, calculating the predicted value of the output of the new energy generator in the t+1 period
Figure BDA00040513076900000511
The formula of (2) is:
Figure BDA0004051307690000059
wherein ,/>
Figure BDA00040513076900000510
Is the power generation plan data of the new energy generator in the period of t+1, delta P t Is the planned deviation value at time t.
S3: acquiring zone bits of all thermal power units in the whole network in a t+1 period from an electric peak regulation market system, wherein the zone bits comprise 0 and 1, and acquiring the sum of power generation planned values of the thermal power units with the zone bits of 1 in the t+1 period based on the zone bits
Figure BDA00040513076900000512
Acquiring a tie-line switching power plan value +.>
Figure BDA00040513076900000513
Full-network load predicted value P of t+1 period and power generation planned value of nuclear power of t+1 period +.>
Figure BDA00040513076900000514
S4: utilizing the predicted value of the output of the new energy generator in the t+1 period
Figure BDA00040513076900000515
The sum of power generation planned values of the thermal power generating unit is +.>
Figure BDA00040513076900000516
Said tie-line switching power schedule value +.>
Figure BDA00040513076900000517
the whole network load predicted value P of the t+1 period and the power generation planned value +.>
Figure BDA00040513076900000518
Calculating thermal power adjustable capacity delta P participating in electric peak regulation market T
Specifically, the thermal power adjustable capacity delta P participating in the electric peak regulation market is calculated T The formula of (2) is:
Figure BDA0004051307690000061
wherein P is a whole network load predicted value of t+1 time period, < >>
Figure BDA0004051307690000064
Exchanging power schedule values for the tie-lines, +.>
Figure BDA0004051307690000062
Generating planned value of nuclear power in t+1 period, < >>
Figure BDA0004051307690000065
Output predicted value of new energy generator in t+1 period, < >>
Figure BDA0004051307690000063
And the power generation plan value is the power generation plan value of the nuclear power in the t+1 period.
In practical application, when the sum of the switching power of all the connecting lines is positive
Figure BDA0004051307690000066
Taking a positive value; when the sum of the switching powers of all links is negative +.>
Figure BDA0004051307690000067
Take a negative value.
Example 1
Based on the same inventive concept, this embodiment provides an adjustable capacity computing system of a thermal power peak shaver set, and a schematic block diagram of the system is shown in fig. 2, including:
deviation value calculation unit: acquiring power generation plan data of new energy generator in t period
Figure BDA0004051307690000068
And real-time output data P t Generating plan data of the new energy generator under t period>
Figure BDA0004051307690000069
And real-time output data P t Calculating the plan deviation value delta P under t period t
Output value prediction unit: acquiring power generation plan data of new energy generator in t+1 period
Figure BDA00040513076900000610
Using the plan deviation value DeltaP at time t t Generating schedule data of the new energy generator in t+1 period +.>
Figure BDA00040513076900000611
Calculating the predicted output value of the new energy generator in the t+1 period>
Figure BDA00040513076900000612
A data acquisition unit: acquiring zone bits of all thermal power units t+1 time periods of the whole network from an electric peak regulation market system, wherein the zone bits comprise 0 and 1, and acquiring the sum of power generation planned values of the thermal power units with the t+1 time periods and the zone bits of 1 based on the zone bits
Figure BDA00040513076900000613
A second data acquisition unit: acquiring a tie-line switching power plan value +.>
Figure BDA00040513076900000614
Full-network load predicted value P of t+1 period and power generation planned value of nuclear power of t+1 period +.>
Figure BDA00040513076900000615
/>
Thermal power generator adjustable capacity calculating unit: utilizing the predicted value of the output of the new energy generator in the t+1 period
Figure BDA00040513076900000617
The sum of power generation planned values of the thermal power generating unit is +.>
Figure BDA00040513076900000616
Said tie-line switching power schedule value +.>
Figure BDA00040513076900000618
the whole network load predicted value P of the t+1 period and the power generation planned value +.>
Figure BDA00040513076900000619
Calculating the adjustable capacity delta P of the thermal power generator T
Example two
In this embodiment, the electric energy source includes, in addition to the thermal power and the nuclear power, gas-electricity, hydropower, wind power, photovoltaic, i.e., the types of the new energy generator include gas-electricity, hydropower, wind power, photovoltaic generators. Therefore, the power generation plan data of the new energy power generator in the t period is acquired
Figure BDA0004051307690000071
And real-time output data P t Comprising the following steps: acquiring power generation plan data of a gas-electricity, water-electricity, wind-electricity and photovoltaic generator under t time period +.>
Figure BDA0004051307690000072
And real-time output data P t The method comprises the steps of carrying out a first treatment on the surface of the Acquiring power generation plan data of new energy generator in t+1 period->
Figure BDA0004051307690000073
Comprising the following steps: acquiring power generation plan data of a gas-electricity, water-electricity, wind-electricity and photovoltaic generator in t+1 period +.>
Figure BDA0004051307690000074
The method comprises the following specific steps:
s1: acquiring power generation plan data of new energy generator in t period
Figure BDA0004051307690000075
Comprising the following steps: gas-electric power generation plan data->
Figure BDA0004051307690000076
Hydroelectric power generation plan data->
Figure BDA0004051307690000077
Wind power generation plan data->
Figure BDA0004051307690000078
Planning data for photovoltaic power generation +.>
Figure BDA0004051307690000079
Simultaneously acquiring real-time output data P of new energy generator t Comprising: real-time output data of gas-electric generator>
Figure BDA00040513076900000710
Real-time output data of hydroelectric generator
Figure BDA00040513076900000711
Real-time output data of wind driven generator>
Figure BDA00040513076900000712
Real-time output data of photovoltaic generator>
Figure BDA00040513076900000713
And respectively calculating the gas electricity, water electricity, wind electricity and photovoltaic power generation plan deviation values under the period t by using the power generation plan data and the real-time output data of the generator.
Specifically, a t-period plan deviation value DeltaP is calculated t The formula of (2) is:
Figure BDA00040513076900000714
wherein ,/>
Figure BDA00040513076900000719
Generating plan data of new energy generator in t period, P t And the real-time output data of the new energy generator is t time periods.
Based on the formula and the data, in practical application, the plan deviation value delta P of the gas electricity, the water electricity, the wind electricity and the photovoltaic power generation under the period t is calculated t The formula of (1) includes:
the deviation value of the gas-electricity generation plan under the period t:
Figure BDA00040513076900000715
hydroelectric power generation plan deviation value under t period:
Figure BDA00040513076900000716
wind power generation plan deviation value at t period:
Figure BDA00040513076900000717
photovoltaic power generation plan deviation value at t period:
Figure BDA00040513076900000718
and acquiring the power generation plan data and the real-time output data of the photovoltaic generator from the power grid operation control system.
S2: acquiring power generation plan data of new energy generator in t+1 period
Figure BDA0004051307690000081
Comprising the following steps: generating schedule data of a gas-electric generator in the t+1 period +.>
Figure BDA0004051307690000082
Generating plan data of hydroelectric generator->
Figure BDA0004051307690000083
Generating schedule data of wind power generator->
Figure BDA0004051307690000084
Generating plan data of photovoltaic generator +.>
Figure BDA0004051307690000085
And respectively calculating the predicted values of the gas electricity, the water electricity, the wind electricity and the photovoltaic power generator in the t+1 period by using the planned deviation values of the gas electricity, the water electricity, the wind electricity and the photovoltaic power generation in the t period and the power planning data in the t+1 period.
Specifically, calculating the predicted value of the output of the new energy generator in the t+1 period
Figure BDA0004051307690000088
The formula of (2) is:
Figure BDA0004051307690000086
wherein ,/>
Figure BDA0004051307690000087
Is the power generation plan data of the new energy generator in the period of t+1, delta P t Is the planned deviation value at time t.
Based on the above formula and data, in practical application, the formula for calculating the output predicted values of the gas electricity, the water electricity, the wind electricity and the photovoltaic generator in the t+1 period comprises:
predicted value of output of the gas-electric generator in t+1 period:
Figure BDA0004051307690000089
predicted value of output of hydroelectric generator under t+1 period:
Figure BDA00040513076900000810
predicted output value of wind power generator in t+1 period:
Figure BDA00040513076900000811
output predicted value of photovoltaic generator under t+1 period:
Figure BDA00040513076900000812
and acquiring the power generation plan data of the new energy generator in the t+1 period from a power grid operation control system.
S3: acquiring zone bits of all thermal power units in the whole network in a t+1 period from an electric peak regulation market system, wherein the zone bits comprise 0 and 1, and acquiring the sum of power generation planned values of the thermal power units with the zone bits of 1 in the t+1 period based on the zone bits
Figure BDA00040513076900000813
Acquiring a tie-line switching power plan value +.>
Figure BDA00040513076900000814
Full-network load predicted value P of t+1 period and power generation planned value of nuclear power of t+1 period +.>
Figure BDA00040513076900000815
S4: utilizing the predicted value of the output of the new energy generator in the t+1 period
Figure BDA00040513076900000816
Comprising the following steps: predicted value of the output of the gas-electric generator in t+1 period +.>
Figure BDA00040513076900000817
Predicted value of the output of a hydroelectric generator>
Figure BDA00040513076900000818
Output predictive value of wind power generator->
Figure BDA00040513076900000819
Output predictive value of photovoltaic generator +.>
Figure BDA00040513076900000820
The sum of power generation planned values of the thermal power generating unit is +.>
Figure BDA00040513076900000821
Said tie-line switching power schedule value +.>
Figure BDA00040513076900000822
the whole network load predicted value P of the t+1 period and the power generation planned value +.>
Figure BDA0004051307690000092
Calculating thermal power adjustable capacity delta P participating in electric peak regulation market T
Specifically, the thermal power adjustable capacity delta P participating in the electric peak regulation market is calculated T The formula of (2) is:
Figure BDA0004051307690000093
wherein P is a whole network load predicted value of t+1 time period, < >>
Figure BDA0004051307690000094
Exchanging power schedule values for the tie-lines, +.>
Figure BDA0004051307690000095
Generating planned value of nuclear power in t+1 period, < >>
Figure BDA0004051307690000096
Output predicted value of new energy generator in t+1 period, < >>
Figure BDA0004051307690000097
And the power generation plan value is the power generation plan value of the nuclear power in the t+1 period.
Based on the above formula and data, in practical application, the formula for calculating the output predicted values of the gas electricity, the water electricity, the wind electricity and the photovoltaic generator in the t+1 period comprises:
Figure BDA0004051307690000091
wherein when the sum of the switching power of all the connecting lines is positive
Figure BDA0004051307690000098
Taking a positive value; when the sum of the switching powers of all links is negative +.>
Figure BDA0004051307690000099
Take a negative value.
In summary, the application provides a method and a system for calculating the adjustable capacity of a thermal power unit, which consider the deviation situation of power supply types with strong fluctuation, such as gas electricity, water electricity, wind electricity, photovoltaic and the like, when calculating the peak regulating capacity of the thermal power unit. Under the condition of full consumption of clean energy, the calculation accuracy of the thermal power adjustable capacity in the electric peak shaving market is effectively improved.
Those of ordinary skill in the art will appreciate that the elements of the examples described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the elements of the examples have been described generally in terms of functionality in the foregoing description to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in this application, it should be understood that the division of units is merely a logic function division, and there may be other manners of division in practical implementation, for example, multiple units may be combined into one unit, one unit may be split into multiple units, or some features may be omitted.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.

Claims (8)

1. The method for calculating the adjustable capacity of the thermal power peak shaver set is characterized by comprising the following steps of:
step 1: acquiring power generation plan data of new energy generator in t period
Figure FDA0004051307680000011
And real-time output data P t Using the power generation plan data +.>
Figure FDA0004051307680000012
And real-time output data P t Calculating the plan deviation value delta P under t period t
Step 2: acquiring power generation plan data of new energy generator in t+1 period
Figure FDA0004051307680000013
Using the plan deviation value DeltaP at time t t And the power generation plan data->
Figure FDA0004051307680000014
Calculating the predicted output value of the new energy generator in the t+1 period>
Figure FDA0004051307680000015
Step 3: acquiring zone bits of all thermal power units in the whole network in t+1 time period from an electric peak regulation market system, wherein the zone bits comprise 0 and 1, and acquiring 1 of all zone bits in the t+1 time period based on the zone bitsSum of power generation plan values of thermal power generating unit
Figure FDA0004051307680000016
Acquiring a tie-line switching power plan value +.>
Figure FDA0004051307680000017
Full-network load predicted value P of t+1 period and power generation planned value of nuclear power of t+1 period +.>
Figure FDA0004051307680000018
Step 4: utilizing the predicted value of the output of the new energy generator in the t+1 period
Figure FDA0004051307680000019
The sum of power generation planned values of the thermal power generating unit is +.>
Figure FDA00040513076800000110
Said tie-line switching power schedule value +.>
Figure FDA00040513076800000111
the whole network load predicted value P of the t+1 period and the power generation planned value +.>
Figure FDA00040513076800000112
Calculating thermal power adjustable capacity delta P participating in electric peak regulation market T
2. The method for calculating the adjustable capacity of the thermal power peak shaver set according to claim 1, wherein the step 4 comprises the following steps:
calculating thermal power adjustable capacity delta P participating in electric peak regulation market T The formula of (2) is:
Figure FDA00040513076800000113
wherein P is a full network load predicted value of t+1 time period,
Figure FDA00040513076800000114
exchanging power schedule values for the tie-lines, +.>
Figure FDA00040513076800000115
Generating planned value of nuclear power in t+1 period, < >>
Figure FDA00040513076800000116
Output predicted value of new energy generator in t+1 period, < >>
Figure FDA00040513076800000117
And the power generation plan value is the power generation plan value of the nuclear power in the t+1 period.
3. The method for calculating the adjustable capacity of the thermal power peak shaver set according to claim 1, wherein the step 1 comprises the following steps:
calculating the plan deviation value delta P under t period t The formula of (2) is:
Figure FDA0004051307680000021
wherein ,
Figure FDA0004051307680000022
generating plan data of new energy generator in t period, P t And the real-time output data of the new energy generator is t time periods.
4. The method for calculating the adjustable capacity of the thermal power peak shaver set according to claim 1, wherein the step 2 comprises the following steps:
calculating the output predicted value of the new energy generator in the t+1 period
Figure FDA0004051307680000023
The formula of (2) is:
Figure FDA0004051307680000024
wherein ,
Figure FDA0004051307680000025
is the power generation plan data of the new energy generator in the period of t+1, delta P t Is the planned deviation value at time t.
5. The method for calculating the adjustable capacity of the thermal power peak shaver set according to claim 1, wherein the generation plan data of the new energy generator in the t period is obtained
Figure FDA0004051307680000026
And real-time output data P t Comprising: />
Acquiring power generation plan data of a gas-electricity, water-electricity, wind-electricity and photovoltaic generator in a t period
Figure FDA0004051307680000027
And real-time output data P t
6. The method for calculating the adjustable capacity of the thermal power peak shaver set according to claim 1, wherein the generation plan data of the new energy generator in the t+1 period is obtained
Figure FDA0004051307680000028
Comprising the following steps:
acquiring power generation plan data of a gas-electricity, water-electricity, wind-electricity and photovoltaic generator in t+1 period
Figure FDA0004051307680000029
7. The method for calculating the adjustable capacity of a thermal power peak shaver set according to claim 1, wherein the interconnecting line exchange power plan value in the step 4
Figure FDA00040513076800000210
Comprising the following steps:
when the sum of the switching power of all the connecting lines is positive
Figure FDA00040513076800000211
Taking a positive value;
when the sum of the switching powers of all the links is negative
Figure FDA00040513076800000212
Take a negative value.
8. An adjustable capacity computing system of a thermal power peak shaver set, which is characterized by comprising:
deviation value calculation unit: acquiring power generation plan data of new energy generator in t period
Figure FDA0004051307680000031
And real-time output data P t Generating plan data of the new energy generator under t period>
Figure FDA0004051307680000032
And real-time output data P t Calculating the plan deviation value delta P under t period t
Output value prediction unit: acquiring power generation plan data of new energy generator in t+1 period
Figure FDA0004051307680000033
Using the plan deviation value DeltaP at time t t Generating schedule data of the new energy generator in t+1 period +.>
Figure FDA0004051307680000034
Calculating the predicted output value of the new energy generator in the t+1 period>
Figure FDA0004051307680000035
A data acquisition unit: acquiring zone bits of all thermal power units t+1 time periods of the whole network from an electric peak regulation market system, wherein the zone bits comprise 0 and 1, and acquiring the sum of power generation planned values of the thermal power units with the t+1 time periods and the zone bits of 1 based on the zone bits
Figure FDA0004051307680000036
A second data acquisition unit: acquiring a tie-line switching power plan value +.>
Figure FDA0004051307680000037
Full-network load predicted value P of t+1 period and power generation planned value of nuclear power of t+1 period +.>
Figure FDA0004051307680000038
Thermal power generator adjustable capacity calculating unit: utilizing the predicted value of the output of the new energy generator in the t+1 period
Figure FDA0004051307680000039
The sum of power generation planned values of the thermal power generating unit is +.>
Figure FDA00040513076800000310
Said tie-line switching power schedule value +.>
Figure FDA00040513076800000311
the whole network load predicted value P of the t+1 period and the power generation planned value +.>
Figure FDA00040513076800000312
Calculating the thermal power generatorAdjustable capacity Δp T 。/>
CN202310043250.2A 2023-01-29 2023-01-29 Adjustable capacity calculation method and system of thermal power peak shaving unit Pending CN116131333A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117767306A (en) * 2023-12-29 2024-03-26 杭州久益电力科技有限公司 Method, system and storage medium for short-time correction of network load deviation by using flexible resources

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117767306A (en) * 2023-12-29 2024-03-26 杭州久益电力科技有限公司 Method, system and storage medium for short-time correction of network load deviation by using flexible resources

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