CN116316740A - Energy storage replacing thermal power capacity efficiency calculation method considering new energy influence - Google Patents

Energy storage replacing thermal power capacity efficiency calculation method considering new energy influence Download PDF

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CN116316740A
CN116316740A CN202310569848.5A CN202310569848A CN116316740A CN 116316740 A CN116316740 A CN 116316740A CN 202310569848 A CN202310569848 A CN 202310569848A CN 116316740 A CN116316740 A CN 116316740A
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thermal power
capacity
energy storage
new energy
power
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CN116316740B (en
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方绍凤
唐宇
周野
刘利黎
王昱
邓笑冬
范超
谭灵芝
杨少林
蒋俊杰
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China Energy Engineering Group Hunan Electric Power Design Institute 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
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/04Power grid distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention discloses a calculation method for energy storage replacing thermal power capacity efficiency considering new energy influence, which comprises the steps of obtaining thermal power installed capacity, hydroelectric installed capacity, energy storage installed capacity and maximum load demand of a preset area planning year; establishing an energy storage replacing thermal power capacity efficiency evaluation model by combining an electric power and electric quantity balance relation, and calculating to obtain thermal power starting requirements and energy storage capacity in a typical mode without considering new energy influence, so as to obtain corresponding energy storage replacing thermal power capacity efficiency; and randomly generating a plurality of groups of new energy data according to the historical new energy data, sequentially and respectively calculating the thermal power starting-up requirement and the energy storage capacity corresponding to each group of new energy data to obtain the energy storage replacing thermal power capacity efficiency of each group of new energy data, and determining the energy storage replacing thermal power capacity efficiency considering the electric supporting capacity of the new energy according to the preset percentage electric confidence space. And the energy storage capacity efficiency of the high-duty ratio new energy power system is quantized to replace thermal power capacity efficiency, and the safety and the economical efficiency of the power system are effectively improved.

Description

Energy storage replacing thermal power capacity efficiency calculation method considering new energy influence
Technical Field
The invention belongs to the technical field of power systems, and particularly relates to a calculation method for energy storage replacing thermal power capacity efficiency considering new energy influence.
Background
The great development of new energy sources such as wind power, photovoltaic and the like is an important way for realizing low-carbon transformation of the power system. Because the new energy output has volatility and uncertainty, the peak regulation problem of the power system is one of key factors restricting the development of new energy in order to cope with the challenges of large-scale new energy grid connection to long-term planning of the power system, and specific measures for fully playing the flexible regulation function of the power supply side or reasonably configuring energy storage are required to be provided.
The traditional power system taking thermal power as a main body is simple in power demand model, only a power gap corresponding to the maximum load moment needs to be calculated, and the power gap is generally directly supplemented by the thermal power with equal capacity. The novel power system takes new energy as a main body, the power supply of the new energy is unstable, the instability of the power supply of the new energy can be compensated to a certain extent by configuring the energy storage, but how to quantify the stable power supply capacity of thermal power + the new energy + the energy storage is a difficult problem of realizing power optimal configuration under the background of the novel power system.
Therefore, the invention provides the calculation method for the energy storage replacing thermal power capacity efficiency considering the influence of the new energy, and the energy storage replacing thermal power capacity benefit rate in the high-duty ratio new energy power system can be quantized, so that a certain theoretical support is provided for power supply configuration and energy storage planning, and the safety and the economical efficiency of the power system can be effectively improved.
Disclosure of Invention
Aiming at the technical problems, the invention provides a calculation method for energy storage replacing thermal power capacity efficiency considering the influence of new energy.
The technical scheme adopted for solving the technical problems is as follows:
the energy storage capacity efficiency calculation method taking the influence of new energy into consideration for replacing thermal power comprises the following steps:
s100: acquiring thermal power installed capacity, hydropower installed capacity, energy storage installed capacity and maximum load demand of a preset area planning year;
s200: establishing an energy storage replacing thermal power capacity efficiency evaluation model by combining an electric power and electric quantity balance relation, and calculating according to the thermal power installed capacity, the hydroelectric installed capacity, the energy storage installed capacity and the maximum load demand to obtain a thermal power starting demand and an energy storage capacity in a typical mode without considering the influence of new energy sources, so as to obtain corresponding energy storage replacing thermal power capacity efficiency;
s300: generating multiple groups of new energy data randomly according to historical new energy data, combining an energy storage replacing thermal power capacity efficiency evaluation model, an electric power and electric quantity balance relation, multiple groups of new energy data, a thermal power installed capacity, a hydropower installed capacity, an energy storage installed capacity and a load maximum demand to respectively calculate a thermal power starting-up demand and an energy storage capacity corresponding to each group of new energy data in sequence to obtain energy storage replacing thermal power capacity efficiency of each group of new energy data, and determining energy storage replacing thermal power capacity efficiency considering new energy power supporting capacity according to a preset percentage electric power confidence space; the new energy data comprise the output of wind power and photovoltaic, and the thermal power starting-up requirement and the energy storage capacity under the consideration of the new energy are smaller than those under the consideration of the new energy.
Preferably, the electric power/electric quantity balance relation in S200 is specifically:
Figure SMS_1
Figure SMS_2
in the method, in the process of the invention,
Figure SMS_3
indicating the installed capacity of the thermal power at time i +.>
Figure SMS_4
Represents the hydropower installation capacity at time i +.>
Figure SMS_5
Indicating the energy storage capacity at time i +.>
Figure SMS_6
Indicating the installed capacity of new energy at time i, < >>
Figure SMS_7
Indicating the maximum load demand at time i,
Figure SMS_8
the payload at time i is shown.
Preferably, in S200, an energy storage instead of thermal power capacity efficiency evaluation model is established in combination with an electric power and electric quantity balance relation, which specifically includes:
energy storage capacity efficiency for replacing thermal power
Figure SMS_9
Is as follows:
setting thermal power capacity to meet power supply safety requirements without considering energy storage
Figure SMS_10
If a certain energy storage scale capacity is newly increased to be +.>
Figure SMS_11
The thermal power capacity which can be reduced on the premise of meeting the safety of power supply is +.>
Figure SMS_12
Energy storage replaces thermal power capacity efficiency>
Figure SMS_13
The method comprises the following steps:
Figure SMS_14
wherein:
Figure SMS_15
Figure SMS_16
in the method, in the process of the invention,
Figure SMS_17
indicating the capacity of the energy storage machine, < >>
Figure SMS_18
Indicating the energy storage time length +.>
Figure SMS_19
Representing the energy storage charging and discharging efficiency;
the quantized relation between the thermal power, the new energy and the stored energy can be obtained by combining the above steps:
Figure SMS_20
wherein when the new energy is not considered, the new energy takes a value of 0, when the new energy is considered, the new energy is selected from a plurality of combination conditions as discrete known quantity,
Figure SMS_21
representing a payload maximum;
Figure SMS_22
in the method, in the process of the invention,
Figure SMS_23
representing the minimum capacity of the thermal power installation.
Preferably, the thermal power start-up requirement includes a thermal power start-up maximum value and a thermal power start-up minimum value, and when the influence of new energy is not considered, the thermal power start-up maximum value is in the electric power and electric quantity balance relation
Figure SMS_24
Figure SMS_24
0 +.>
Figure SMS_25
The power-on minimum value of (C) is
Figure SMS_26
The method comprises the steps of carrying out a first treatment on the surface of the When the influence of new energy is considered, the maximum value of the thermal power on is +.>
Figure SMS_27
Taking the new energy installation capacity at the moment i +.>
Figure SMS_28
The thermal power on minimum value is +.>
Figure SMS_29
Preferably, S300 includes:
s310: generating a plurality of groups of new energy data randomly according to the historical new energy data, combining an energy storage to replace thermal power capacity efficiency evaluation model, an electric power and electric quantity balance relation, a plurality of groups of new energy data, thermal power installed capacity, hydroelectric installed capacity, energy storage installed capacity and maximum load demand, and calculating thermal power starting-up demand and energy storage capacity under each group of new energy data to obtain energy storage to replace thermal power capacity efficiency of each group of new energy data;
s320: and sorting the energy storage of all new energy data instead of the thermal power capacity efficiency according to the order from large to small, removing 5% of data before sorting, and determining the energy storage considering the new energy power supporting capacity according to the 95% power confidence space instead of the thermal power capacity efficiency.
According to the energy storage replacement thermal power capacity efficiency calculation method considering the influence of the new energy, the energy storage replacement thermal power capacity benefit rate in the high-duty ratio new energy power system is quantized, a certain theoretical support is provided for power supply configuration and energy storage planning, and the safety and the economical efficiency of the power system can be effectively improved.
Drawings
FIG. 1 is a flow chart of a method for calculating energy storage replacing thermal power capacity efficiency taking into consideration new energy influence in an embodiment of the invention;
FIG. 2 is a graph of a typical daily payload for a winter season in an example of a specific application of the present invention;
FIG. 3 is a graph of wind power output coefficients selected in an embodiment of the invention;
FIG. 4 is a graph of the photovoltaic output coefficients selected in the examples of the specific application of the present invention;
FIG. 5 is a diagram showing the new energy power ratio of the present invention applied in the embodiment;
FIG. 6 is a graph of minimum startup capacity of a thermal power obtained in an embodiment of the present invention;
FIG. 7 is a graph showing the energy storage capacity benefit obtained in the examples of the specific application of the present invention.
Detailed Description
In order to make the technical scheme of the present invention better understood by those skilled in the art, the present invention will be further described in detail with reference to the accompanying drawings.
In one embodiment, as shown in fig. 1, a method for calculating energy storage replacing thermal power capacity efficiency considering new energy influence includes the following steps:
s100: and acquiring the thermal power installed capacity, the hydroelectric installed capacity, the energy storage installed capacity and the maximum load demand of the planned year of the preset area.
S200: and establishing an energy storage replacing thermal power capacity efficiency evaluation model by combining an electric power and electric quantity balance relation, and calculating according to the thermal power installed capacity, the hydroelectric installed capacity, the energy storage installed capacity and the maximum load demand to obtain the thermal power starting demand and the energy storage capacity in a typical mode without considering the influence of new energy sources, so as to obtain the corresponding energy storage replacing thermal power capacity efficiency.
Specifically, in the present embodiment, the typical manner refers to the winter time of heavy load.
In one embodiment, the electric power/electric quantity balance relation in S200 is specifically:
Figure SMS_30
Figure SMS_31
in the method, in the process of the invention,
Figure SMS_32
indicating the installed capacity of the thermal power at time i +.>
Figure SMS_33
Represents the hydropower installation capacity at time i +.>
Figure SMS_34
Indicating the energy storage capacity at time i +.>
Figure SMS_35
Indicating the installed capacity of new energy at time i, < >>
Figure SMS_36
Indicating the maximum load demand at time i,
Figure SMS_37
the payload at time i is shown.
In S200, an energy storage instead of thermal power capacity efficiency evaluation model is established by combining the electric power and electric quantity balance relation, and the method specifically comprises the following steps:
energy storage capacity efficiency for replacing thermal power
Figure SMS_38
Is as follows:
setting thermal power capacity to meet power supply safety requirements without considering energy storage
Figure SMS_39
If a certain energy storage scale capacity is newly increased to be +.>
Figure SMS_40
The thermal power capacity which can be reduced on the premise of meeting the safety of power supply is +.>
Figure SMS_41
Energy storage replaces thermal power capacity efficiency>
Figure SMS_42
The method comprises the following steps:
Figure SMS_43
wherein:
Figure SMS_44
Figure SMS_45
in the method, in the process of the invention,
Figure SMS_46
indicating the capacity of the energy storage machine, < >>
Figure SMS_47
Indicating the energy storage time length +.>
Figure SMS_48
Representing the energy storage charging and discharging efficiency;
the quantized relation between the thermal power, the new energy and the stored energy can be obtained by combining the above steps:
Figure SMS_49
wherein when the new energy is not considered, the new energy takes a value of 0, when the new energy is considered, the new energy is selected from a plurality of combination conditions as discrete known quantity,
Figure SMS_50
representing a payload maximum;
Figure SMS_51
in the method, in the process of the invention,
Figure SMS_52
representing the minimum capacity of the thermal power installation.
In one embodiment, the thermal power up demand includes a thermal power up maximum and a thermal power up minimum, where the thermal power up maximum is in the electric power and electric power balance relationship when the new energy is not considered
Figure SMS_53
0 +.>
Figure SMS_54
The thermal power on minimum value is +.>
Figure SMS_55
The method comprises the steps of carrying out a first treatment on the surface of the When the influence of new energy is considered, the maximum value of the thermal power on is +.>
Figure SMS_56
Taking the new energy installation capacity at the moment i +.>
Figure SMS_57
The thermal power on minimum value is +.>
Figure SMS_58
S300: generating multiple groups of new energy data randomly according to historical new energy data, combining an energy storage replacing thermal power capacity efficiency evaluation model, an electric power and electric quantity balance relation, multiple groups of new energy data, a thermal power installed capacity, a hydropower installed capacity, an energy storage installed capacity and a load maximum demand to respectively calculate a thermal power starting-up demand and an energy storage capacity corresponding to each group of new energy data in sequence to obtain energy storage replacing thermal power capacity efficiency of each group of new energy data, and determining energy storage replacing thermal power capacity efficiency considering new energy power supporting capacity according to a preset percentage electric power confidence space; the new energy data comprise the output of wind power and photovoltaic, and the thermal power starting-up requirement and the energy storage capacity under the consideration of the new energy are smaller than those under the consideration of the new energy.
In one embodiment, S300 includes:
s310: generating a plurality of groups of new energy data randomly according to the historical new energy data, combining an energy storage to replace thermal power capacity efficiency evaluation model, an electric power and electric quantity balance relation, a plurality of groups of new energy data, thermal power installed capacity, hydroelectric installed capacity, energy storage installed capacity and maximum load demand, and calculating thermal power starting-up demand and energy storage capacity under each group of new energy data to obtain energy storage to replace thermal power capacity efficiency of each group of new energy data;
s320: and sorting the energy storage of all new energy data instead of the thermal power capacity efficiency according to the order from large to small, removing 5% of data before sorting, and determining the energy storage considering the new energy power supporting capacity according to the 95% power confidence space instead of the thermal power capacity efficiency.
Specifically, the maximum energy storage replacing thermal power capacity efficiency is selected from the remaining 95% of data to be determined as the thermal power starting-up requirement considering the new energy power supporting capability and the energy storage replacing thermal power capacity efficiency.
According to the energy storage replacement thermal power capacity efficiency calculation method considering the influence of the new energy, the energy storage replacement thermal power capacity benefit rate in the high-duty ratio new energy power system is quantized, a certain theoretical support is provided for power supply configuration and energy storage planning, and the safety and the economical efficiency of the power system can be effectively improved.
A planning power grid in 2030 of a certain province is selected as a research object, and specific data are analyzed as follows:
in 2030, after the output of external electricity, water electricity and biomass is subtracted, a typical daily net load curve of winter is shown in fig. 2, wherein the maximum value of the typical daily net load of winter is 46000MW, and the minimum value of the typical daily net load of winter is 24800MW.
Considering configuration of 10000MW/60000MWh energy storage, according to the energy storage replacing thermal power capacity efficiency calculation model, the minimum thermal power starting up required under the condition of not considering new energy is 39900MW, at the moment, the energy storage replacing thermal power installed capacity is 6100MW, and the capacity efficiency is 61.0%.
Considering that the wind power and photovoltaic installed capacity are 22000MW and 30000MW respectively, generating 100 groups of wind power output coefficient curves randomly generated according to historical data as shown in figure 3 and 100 groups of photovoltaic output coefficient curves as shown in figure 4, obtaining wind power and light output curves, obtaining minimum thermal power starting capacity corresponding to different new energy sources according to the energy storage replacing thermal power capacity efficiency calculation model as shown in figure 6 and energy storage replacing thermal power capacity efficiency as shown in figure 7.
Considering 95% power confidence space, determining that the lowest starting capacity of the thermal power is 36640MW, the corresponding energy storage capacity capable of replacing the thermal power installed capacity is 9360MW, and the capacity efficiency is 93.6%, as shown in table 1.
Table 1 calculation results of energy storage substitute thermal power capacity taking new energy influence into consideration
Figure SMS_59
Therefore, the energy storage capacity efficiency of replacing thermal power under the influence of new energy is greatly improved, a certain theoretical support is provided for power supply configuration and energy storage planning, and the safety and the economical efficiency of the power system can be effectively improved.
The calculation method for the energy storage replacing thermal power capacity efficiency considering the influence of new energy provided by the invention is described in detail. The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the core concepts of the invention. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.

Claims (5)

1. The energy storage capacity efficiency calculation method taking the influence of new energy into consideration for replacing thermal power is characterized by comprising the following steps of:
s100: acquiring thermal power installed capacity, hydropower installed capacity, energy storage installed capacity and maximum load demand of a preset area planning year;
s200: establishing an energy storage replacing thermal power capacity efficiency evaluation model by combining an electric power and electric quantity balance relation, and calculating according to the thermal power installed capacity, the hydroelectric installed capacity, the energy storage installed capacity and the load maximum demand to obtain thermal power starting demand and energy storage capacity in a typical mode without considering the influence of new energy sources, so as to obtain corresponding energy storage replacing thermal power capacity efficiency;
s300: generating multiple groups of new energy data randomly according to historical new energy data, combining the energy storage to replace thermal power capacity efficiency evaluation model, the electric power and electric quantity balance relation, the multiple groups of new energy data, the thermal power installation capacity, the hydroelectric installation capacity, the energy storage installation capacity and the load maximum demand to respectively calculate thermal power starting requirements and energy storage capacities corresponding to each group of new energy data in sequence to obtain energy storage of each group of new energy data to replace thermal power capacity efficiency, and determining energy storage taking the new energy power supporting capacity into consideration to replace thermal power capacity efficiency according to a preset percentage power confidence space; the new energy data comprise the output of wind power and photovoltaic, and the thermal power starting-up requirement and the energy storage capacity under the consideration of the new energy are smaller than those under the consideration of the new energy.
2. The method according to claim 1, wherein the electric power/electric quantity balance relation in S200 is specifically:
Figure QLYQS_1
Figure QLYQS_2
in the method, in the process of the invention,
Figure QLYQS_3
indicating the installed capacity of the thermal power at time i +.>
Figure QLYQS_4
Represents the hydropower installation capacity at time i +.>
Figure QLYQS_5
Indicating the energy storage capacity at time i +.>
Figure QLYQS_6
Indicating the installed capacity of new energy at time i, < >>
Figure QLYQS_7
Indicating the maximum load demand at time i,
Figure QLYQS_8
the payload at time i is shown.
3. The method according to claim 2, wherein the step S200 of establishing the energy storage instead of thermal power capacity efficiency evaluation model by combining the electric power and electric quantity balance relation is specifically:
energy storage capacity efficiency for replacing thermal power
Figure QLYQS_9
Is as follows:
setting thermal power capacity to meet power supply safety requirements without considering energy storage
Figure QLYQS_10
If a certain energy storage scale capacity is newly increased to be +.>
Figure QLYQS_11
Later on, also meeting the safety of power supplyThe thermal power capacity which can be reduced on the premise is +.>
Figure QLYQS_12
Energy storage replaces thermal power capacity efficiency>
Figure QLYQS_13
The method comprises the following steps:
Figure QLYQS_14
wherein:
Figure QLYQS_15
Figure QLYQS_16
in the method, in the process of the invention,
Figure QLYQS_17
indicating the capacity of the energy storage machine, < >>
Figure QLYQS_18
Indicating the energy storage time length +.>
Figure QLYQS_19
Representing the energy storage charging and discharging efficiency;
the quantized relation between the thermal power, the new energy and the stored energy can be obtained by combining the above steps:
Figure QLYQS_20
wherein when the new energy is not considered, the new energy takes a value of 0, when the new energy is considered, the new energy is selected from a plurality of combination conditions as discrete known quantity,
Figure QLYQS_21
representing the payloadA maximum value;
Figure QLYQS_22
in the method, in the process of the invention,
Figure QLYQS_23
representing the minimum capacity of the thermal power installation.
4. A method according to claim 3, wherein the thermal power-on demand includes a thermal power-on maximum and a thermal power-on minimum, the thermal power-on maximum being in a power-electricity balance relationship when new energy effects are not considered
Figure QLYQS_24
0 +.>
Figure QLYQS_25
The thermal power on minimum value is +.>
Figure QLYQS_26
The method comprises the steps of carrying out a first treatment on the surface of the When the influence of new energy is considered, the maximum value of the thermal power on is +.>
Figure QLYQS_27
Taking the new energy installation capacity at the moment i +.>
Figure QLYQS_28
The thermal power on minimum value is +.>
Figure QLYQS_29
5. The method of claim 4, wherein S300 comprises:
s310: randomly generating a plurality of groups of new energy data according to historical new energy data, and calculating a thermal power starting requirement and an energy storage capacity under each group of new energy data by combining the energy storage to replace thermal power capacity efficiency evaluation model, the electric power and electric quantity balance relation, the plurality of groups of new energy data, the thermal power installation capacity, the hydroelectric installation capacity, the energy storage installation capacity and the maximum load requirement to obtain energy storage of each group of new energy data to replace thermal power capacity efficiency;
s320: and sorting the energy storage of all new energy data instead of the thermal power capacity efficiency according to the order from large to small, removing 5% of data before sorting, and determining to consider the energy storage of the new energy power supporting capacity instead of the thermal power capacity efficiency according to the 95% power confidence space.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111416388A (en) * 2020-04-26 2020-07-14 中国电力工程顾问集团西北电力设计院有限公司 Method for determining energy storage demand and energy storage duration of high-proportion new energy system
CN113036788A (en) * 2021-05-27 2021-06-25 中国能源建设集团湖南省电力设计院有限公司 Energy storage configuration and cost analysis method for supporting new energy consumption of power system
CN114254946A (en) * 2021-12-24 2022-03-29 中国电力工程顾问集团西北电力设计院有限公司 New energy power generation equivalent annual cost comparison method, system, equipment and storage medium
CN114336693A (en) * 2021-11-29 2022-04-12 中国华能集团清洁能源技术研究院有限公司 Optimal configuration method and system of wind, light, fire and storage integrated system
CN116131363A (en) * 2023-03-22 2023-05-16 中国能源建设集团湖南省电力设计院有限公司 Energy storage collaborative optimization configuration method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111416388A (en) * 2020-04-26 2020-07-14 中国电力工程顾问集团西北电力设计院有限公司 Method for determining energy storage demand and energy storage duration of high-proportion new energy system
CN113036788A (en) * 2021-05-27 2021-06-25 中国能源建设集团湖南省电力设计院有限公司 Energy storage configuration and cost analysis method for supporting new energy consumption of power system
CN114336693A (en) * 2021-11-29 2022-04-12 中国华能集团清洁能源技术研究院有限公司 Optimal configuration method and system of wind, light, fire and storage integrated system
CN114254946A (en) * 2021-12-24 2022-03-29 中国电力工程顾问集团西北电力设计院有限公司 New energy power generation equivalent annual cost comparison method, system, equipment and storage medium
CN116131363A (en) * 2023-03-22 2023-05-16 中国能源建设集团湖南省电力设计院有限公司 Energy storage collaborative optimization configuration method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JUAN LI: "Centralized Control Strategy Considering Decentralized Energy Storage participate in Optimal Power System Dispatching", 《2020 4TH INTERNATIONAL CONFERENCE ON HVDC》 *
杨修宇;穆钢;柴国峰;严干贵;安军;: "考虑灵活性供需平衡的源-储-网一体化规划方法", 电网技术, no. 09 *

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