CN112491072A - Energy storage layout method and device for multi-terminal hybrid direct-current power transmission system - Google Patents

Energy storage layout method and device for multi-terminal hybrid direct-current power transmission system Download PDF

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CN112491072A
CN112491072A CN202011407460.8A CN202011407460A CN112491072A CN 112491072 A CN112491072 A CN 112491072A CN 202011407460 A CN202011407460 A CN 202011407460A CN 112491072 A CN112491072 A CN 112491072A
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power
energy storage
transmission system
station
day
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CN112491072B (en
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雷云凯
娄素华
张雨萌
刘建琴
李婷
杨林
陈政琦
胡志刚
张孟
黄室儒
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Huazhong University of Science and Technology
State Grid Economic and Technological Research Institute
Economic and Technological Research Institute of State Grid Sichuan Electric Power Co Ltd
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Huazhong University of Science and Technology
State Grid Economic and Technological Research Institute
Economic and Technological Research Institute of State Grid Sichuan Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/36—Arrangements for transfer of electric power between ac networks via a high-tension dc link
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/60—Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]

Abstract

The invention provides an energy storage layout method and device for a multi-terminal hybrid direct-current power transmission system, wherein the method comprises the following steps: acquiring multiple energy storage layout schemes of the energy storage power stations according to the preset number and the preset installation positions of the energy storage power stations; constructing an objective function by taking the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme as an objective; determining constraint conditions of a target function according to power balance constraint of the multi-terminal hybrid direct-current power transmission system, output constraint of a thermal power unit in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line; and calculating the value of the target function under each energy storage layout scheme according to the constraint conditions, and taking the energy storage layout scheme corresponding to the minimum value of the target function as the optimal energy storage layout scheme. According to the invention, various constraint conditions are comprehensively considered, so that the constraint on the target function is more accurate, and the optimal layout of the energy storage power station in the multi-terminal hybrid direct-current power transmission system is realized.

Description

Energy storage layout method and device for multi-terminal hybrid direct-current power transmission system
Technical Field
The invention relates to the technical field of power systems, in particular to an energy storage layout method and device of a multi-terminal hybrid direct-current power transmission system.
Background
In recent years, the scale of development and utilization of new energy resources represented by wind power, solar energy, and photovoltaic power generation has been gradually expanded. With the serious problems of wind abandonment, light abandonment and large-capacity long-distance transportation. Meanwhile, the system rotational inertia is reduced after the new energy power generation proportion is greatly improved, and the problem of system stability is increasingly remarkable.
Under the condition, the multi-terminal hybrid direct-current transmission technology combines the technical advantages of the traditional direct-current transmission and the flexible direct-current transmission, thereby playing an important role in the safe and stable operation of a power grid. And the transmission technology has wide prospect in the aspect of large-scale grid-connected application of new energy. Because the techniques of frequency control and voltage regulation of dc systems are not mature enough. Therefore, for large-scale long-distance wind power and photovoltaic transmission, the direct current system is matched with other types of power supplies for transmission so as to smooth wind power and photovoltaic output, keep power of a power transmission channel relatively stable, improve the voltage quality of the system and improve the safety and stability level.
At present, the establishment of a power supply planning model for transmitting-end wind-solar-energy fire-storage bundling mainly takes the minimum total cost value as an objective function and takes the operation constraint of a thermal power generating unit, the operation constraint of new energy and the power balance of a system as main constraint conditions. The structure of the multi-end hybrid direct-current transmission system is complex, and the generated energy of new energy in each season is different. Therefore, a power supply planning model established only according to the constraint conditions is inaccurate, and the optimal access position of a matched power supply, namely the optimal layout of an energy storage power station in the multi-terminal hybrid direct-current power transmission system, is difficult to accurately obtain.
Disclosure of Invention
The invention provides an energy storage layout method and device for a multi-terminal hybrid direct-current power transmission system, which are used for solving the defects that in the prior art, a power supply planning model has few constraint conditions, and the optimal layout of energy storage power stations in the multi-terminal hybrid direct-current power transmission system is difficult to accurately obtain, and realizing the accurate acquisition of the optimal layout of the energy storage power stations in the multi-terminal hybrid direct-current power transmission system.
The invention provides an energy storage layout method of a multi-terminal hybrid direct-current power transmission system, which comprises the following steps:
acquiring multiple energy storage layout schemes of the energy storage power stations according to the preset number and the preset installation positions of the energy storage power stations;
constructing an objective function by taking the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme as an objective;
determining constraint conditions of the objective function according to power balance constraint of the multi-terminal hybrid direct-current power transmission system, output constraint of a thermal power unit in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line;
and calculating the value of the target function under each energy storage layout scheme according to the constraint condition, and taking the energy storage layout scheme corresponding to the minimum value of the target function as the optimal energy storage layout scheme.
According to the energy storage layout method of the multi-terminal hybrid direct-current power transmission system provided by the invention, the formula of the objective function is as follows:
Figure BDA0002815412020000021
wherein F represents the objective function, s is any quarter, NsIs the total number of s, T is the number per day of s per unit time, psProbability of s, TyThe number of the days of the year is,
Figure BDA0002815412020000022
for the power generation cost of the thermal power generating unit at the moment t in s every day,
Figure BDA0002815412020000023
the penalty cost of the wind power station and the photoelectric station in the multi-terminal hybrid direct-current transmission system at the time of t in s each day is calculated,
Figure BDA0002815412020000031
for the loss cost, k, of the DC line at time t of day in sgenFor the unit power generation cost of the thermal power generating unit,
Figure BDA0002815412020000032
the total power k of the thermal power generating unit at the time t in s every daywind and kPVThe unit electricity abandoning punishment cost of the wind power station and the photovoltaic power station is respectively,
Figure BDA0002815412020000033
and
Figure BDA0002815412020000034
respectively the electricity abandonment quantity k of the wind power station and the photoelectric station at the time t in s each dayLossFor the unit loss cost of the dc line,
Figure BDA0002815412020000035
the power loss of the direct current line at the moment t in s every day.
According to the energy storage layout method of the multi-terminal hybrid direct-current power transmission system provided by the invention, the constraint condition determined according to the power balance constraint of the multi-terminal hybrid direct-current power transmission system is as follows:
Figure BDA0002815412020000036
wherein ,
Figure BDA0002815412020000037
and
Figure BDA0002815412020000038
the power of the wind power station, the photovoltaic power station, the thermal power generating unit and the energy storage power station are respectively the power of the wind power station, the photovoltaic power station, the thermal power generating unit and the energy storage power station on the internet at the moment t every day in s,
Figure BDA0002815412020000039
for exchanging power between a dc-link and a local ac grid connected to the dc-link in the multi-terminal hybrid dc transmission system at time t within s,
Figure BDA00028154120200000310
the outgoing power of the direct current line at the moment t in s every day,
Figure BDA00028154120200000311
the power loss of the direct current line at the moment t in s every day.
According to the energy storage layout method of the multi-terminal hybrid direct-current power transmission system provided by the invention, an objective function is constructed with the aim of minimizing the operation cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme, and the method also comprises the following steps:
calculating the average weighted Euler distance between the historical power generation curve of the wind power station in any day of any quarter and the historical power generation curve of other days of the quarter;
taking the historical power generation curve corresponding to the minimum average weighted Euler distance as a typical daily power generation curve of the wind power station in the quarter;
calculating the average weighted Euler distance between the historical power generation curve of the photovoltaic station in any day of any quarter and the historical power generation curve of other days of the quarter;
taking the historical power generation curve corresponding to the minimum average weighted Euler distance as a typical daily power generation curve of the photovoltaic station in the quarter;
the sum of the electric power abandoned by the wind power station at the t moment in each day in the s quarter and the internet power of the wind power station at the t moment in each day in the s quarter is equal to the electric power generated by the wind power station at the t moment in a typical daily power generation curve in the s quarter;
the power loss of the photovoltaic power station at the t moment in each day in the s quarter plus the power on the grid of the photovoltaic power station at the t moment in each day in the s quarter is equal to the power generation of the photovoltaic power station at the t moment in a typical daily power generation curve in the s quarter.
According to the energy storage layout method of the multi-terminal hybrid direct-current power transmission system provided by the invention, the constraint condition determined according to the output constraint of the thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system is as follows:
Figure BDA0002815412020000041
wherein ,
Figure BDA0002815412020000042
and
Figure BDA0002815412020000043
respectively is the minimum value and the maximum value of the online power of the live generator set g in the multi-terminal hybrid direct-current power transmission system, s is any quarter,
Figure BDA0002815412020000044
the grid power u of the thermal power generating unit g at the moment of t every day in ss,g,tIs a stand forThe starting and stopping state u of the thermal power generating unit g at the moment t in s every days,g,jThe on-off state of the thermal power generating unit g at j moment in s every day,
Figure BDA0002815412020000045
and
Figure BDA0002815412020000046
respectively the minimum duration of the on state and the minimum duration of the off state of the thermal power generating unit g,
Figure BDA0002815412020000047
and
Figure BDA0002815412020000048
respectively the maximum and minimum technical output of the thermal power generating unit g,
Figure BDA0002815412020000049
and
Figure BDA00028154120200000410
the ascending ramp rate and the descending ramp rate of the thermal power generating unit g are respectively.
According to the energy storage layout method of the multi-terminal hybrid direct-current power transmission system provided by the invention, the constraint condition determined according to the energy storage constraint of the energy storage power station in the multi-terminal hybrid direct-current power transmission system is as follows:
Figure BDA0002815412020000051
Figure BDA0002815412020000052
Figure BDA0002815412020000053
Figure BDA0002815412020000054
wherein ,NnI is the total number of nodes where energy storage power stations are located in the multi-terminal hybrid direct current power transmission system, i is the node where any energy storage power station is located,
Figure BDA0002815412020000055
for the energy storage capacity of the energy storage power station planned at node i in the multi-terminal hybrid direct current transmission system,
Figure BDA0002815412020000056
for the total energy storage capacity of the energy storage power station planned in the multi-terminal hybrid direct-current transmission system, s is any quarter,
Figure BDA0002815412020000057
the electric quantity value stored by the energy storage power station at the node i at the moment T in s every day, T is the number of the unit time in each day,
Figure BDA0002815412020000058
and
Figure BDA0002815412020000059
respectively the charging state and the discharging state of the energy storage power station at the node i at the moment t in s every day,
Figure BDA00028154120200000510
the output power, eta, of the energy storage power station at the node i when the energy storage power station operates at the time t in s every dayc and ηdThe charging efficiency and the discharging efficiency of the energy storage power station are respectively,
Figure BDA00028154120200000511
the minimum amount of power stored in the energy storage power station at the node i,
Figure BDA00028154120200000512
is the minimum output power P of the energy storage power station at the node i during operationi ESSAnd the maximum output power of the energy storage power station planned at the node i is obtained.
According to the energy storage layout method of the multi-terminal hybrid direct-current power transmission system provided by the invention, the constraint condition determined according to the operation constraint of the direct-current line in the multi-terminal hybrid direct-current power transmission system is as follows:
Figure BDA00028154120200000513
wherein s is any quarter, k is a node where any converter station in the multi-terminal hybrid direct-current transmission system is located, and Uk,s,t and Ik,s,tThe output voltage and the output current, U, of the converter station at the node k at the time t of each day in sk,s, tIk,s,tFor the input power or output power of the converter station at said node k at time t per day in s,
Figure BDA0002815412020000061
and
Figure BDA0002815412020000062
respectively a minimum rated power and a maximum rated power, P, of the converter station at said node kl,s,tThe transmission power P of a direct current line l in the multi-terminal hybrid direct current transmission system at the moment of t in s every dayl,up and Pl,downRespectively a limited value of the rising rate and a limited value of the falling rate of the transmission power of the direct current line l, Pl,minIs the minimum transmissible power, y, of the DC line ll,s,t and zl,s,tRespectively an ascending state and a descending state of the transmission power of the direct current line l at the moment of t in s every day, NdThe maximum value of the state switching times of the transmission power of the direct current line l in each day.
The invention also provides an energy storage layout device of the multi-terminal hybrid direct-current power transmission system, which comprises the following components:
the acquisition module is used for acquiring various energy storage layout schemes of the energy storage power stations according to the preset number and the preset installation positions of the energy storage power stations;
the building module is used for building an objective function by taking the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme as an objective;
the determining module is used for determining constraint conditions of the objective function according to power balance constraint of the multi-terminal hybrid direct-current power transmission system, output constraint of a thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line;
and the selecting module is used for calculating the value of the target function under each energy storage layout scheme according to the constraint condition and taking the energy storage layout scheme corresponding to the minimum value of the target function as the optimal energy storage layout scheme.
The invention further provides an electronic device, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the energy storage layout method of the multi-terminal hybrid direct-current power transmission system are implemented as any one of the steps described above.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the energy storage layout method of a multi-terminal hybrid direct current power transmission system as described in any of the above.
According to the energy storage layout method and device for the multi-terminal hybrid direct-current power transmission system, multiple energy storage layout schemes of the energy storage power stations are obtained according to the preset number of the energy storage power stations and the preset installation positions, the power balance constraint, the output constraint of the thermal power generating unit, the energy storage constraint of the energy storage power stations and the operation constraint of the direct-current lines are comprehensively considered, and the constraint condition of the target function under each energy storage layout scheme is determined, so that the constraint on the target function is more accurate, the energy storage layout scheme obtained from the multiple energy storage layout schemes is optimal, and the layout of the energy storage power stations in the multi-terminal hybrid direct-current power transmission system is optimal.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an energy storage layout method of a multi-terminal hybrid dc power transmission system provided by the present invention;
fig. 2 is a schematic structural diagram of a multi-terminal hybrid dc power transmission system in the energy storage layout method of the multi-terminal hybrid dc power transmission system according to the present invention;
fig. 3 is a schematic structural diagram of an energy storage layout device of a multi-terminal hybrid dc power transmission system provided by the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The energy storage layout method of the multi-terminal hybrid dc power transmission system according to the present invention is described below with reference to fig. 1, and includes: 101, acquiring multiple energy storage layout schemes of energy storage power stations according to the preset number and the preset installation positions of the energy storage power stations;
specifically, the present embodiment is not limited to the preset number of energy storage power stations, and the number of energy storage power stations may be one or more. The preset installation position of the energy storage power station is not defined in this embodiment either. As shown in fig. 2, the energy storage power station may be deployed at a new energy base in a multi-terminal hybrid dc transmission system. For example, the energy storage power stations can be distributed at one or more positions with node ID (Identity) of ID:01, ID:02 or ID: 03. When the energy storage power station is distributed at a new energy base, after a small alternating current power grid at the new energy base is accessed, the energy storage power station is converted by a VSC (Voltage Source Converter) Converter station, is accessed to a multi-terminal flexible direct current transmission system for collection, and is converted into traditional high-Voltage direct current by an LCC (Line Committed Converter) Converter station to be sent out. Or the energy storage power station can be distributed at a direct current outgoing and collecting position in the multi-terminal hybrid direct current power transmission system, for example, a position with a node ID of 04. When the energy storage power station is arranged at the direct current delivery and collection position, the energy storage power station is connected to a small alternating current power grid at the direct current delivery and collection position and then is converted into traditional high-voltage direct current through the LCC converter station to be delivered. The energy storage power stations can also be respectively distributed in small alternating current power grids connected to a new energy base and a direct current delivery collection position.
Because the preset number of the energy storage power stations is one or more, and a plurality of preset installation positions are provided, each energy storage power station can be installed at any preset installation position. Any of the predetermined installation locations may or may not include one or more energy storage power stations. Therefore, various energy storage layout schemes of the energy storage power station can be obtained.
102, constructing an objective function by taking the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme as an objective;
the operation cost of the multi-terminal hybrid direct-current power transmission system can be the annual operation cost of the multi-terminal hybrid direct-current power transmission system, and can also be the quarterly operation cost of the multi-terminal hybrid direct-current power transmission system. In order to realize the maximum consumption of new energy by a power grid, the minimum electricity abandoning cost of a new energy power station can be used as a target to construct a target function; and constructing an objective function by combining the minimum value of the power generation cost of the thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system and the loss cost of the direct-current line. By constructing the objective function in this way, the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme can be ensured, and new energy consumption can be promoted.
103, determining constraint conditions of the objective function according to power balance constraint of the multi-terminal hybrid direct-current power transmission system, output constraint of a thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line;
specifically, the constraint conditions of the objective function are determined by comprehensively considering power balance constraint, output constraint of a thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line, so that the performance of the multi-terminal hybrid direct-current power transmission system can be reflected, and the constraint of the objective function is more accurate. The power balance constraint is to balance the power generated by each power station, the loss power on the line and the power output by the line in the multi-terminal hybrid direct-current transmission system.
And 104, calculating the value of the target function under each energy storage layout scheme according to the constraint condition, and taking the energy storage layout scheme corresponding to the minimum value of the target function as the optimal energy storage layout scheme.
Specifically, according to the determined constraint conditions, the value of the objective function under each energy storage layout scheme can be obtained based on the optimization algorithm. In this embodiment, the optimization algorithm for solving the objective function is not limited, and may be a genetic algorithm or the like. And the value of the objective function under each energy storage layout scheme corresponds to the minimum value of the running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme. By comparing the values of the objective functions under each energy storage layout scheme, the minimum value of the objective functions under all the energy storage layout schemes can be obtained. And taking the energy storage layout scheme corresponding to the minimum value of the objective function as the optimal energy storage layout scheme. Accordingly, the installation position of each energy storage power station in the optimal energy storage layout scheme is optimal.
According to the embodiment, multiple energy storage layout schemes of the energy storage power stations are obtained according to the preset number and the preset installation positions of the energy storage power stations, power balance constraint, output constraint of a thermal power generating unit, energy storage constraint of the energy storage power stations and operation constraint of a direct current circuit are comprehensively considered, constraint conditions of a target function under each energy storage layout scheme are determined, constraint on the target function is more accurate, the energy storage layout schemes obtained from the multiple energy storage layout schemes are optimal, and layout of the energy storage power stations in a multi-terminal hybrid direct current power transmission system is optimal.
On the basis of the above embodiment, the formula of the objective function in this embodiment is:
Figure BDA0002815412020000101
wherein F represents the objective function, s is any quarter, NsIs the total number of s, T is the number per day of s per unit time, psProbability of s, TyThe number of the days of the year is,
Figure BDA0002815412020000102
for the power generation cost of the thermal power generating unit at the moment t in s every day,
Figure BDA0002815412020000103
the penalty cost of the wind power station and the photoelectric station in the multi-terminal hybrid direct-current transmission system at the time of t in s each day is calculated,
Figure BDA0002815412020000104
for the loss cost, k, of the DC line at time t of day in sgenFor the unit power generation cost of the thermal power generating unit,
Figure BDA0002815412020000105
the total power k of the thermal power generating unit at the time t in s every daywind and kPVThe unit electricity abandoning punishment cost of the wind power station and the photovoltaic power station is respectively,
Figure BDA0002815412020000106
and
Figure BDA0002815412020000107
respectively the electricity abandonment quantity k of the wind power station and the photoelectric station at the time t in s each dayLossFor the unit loss cost of the dc line,
Figure BDA0002815412020000108
the power loss of the direct current line at the moment t in s every day.
Wherein s is any quarterly, then Ns4. Each day may be divided into a plurality of periods according to the unit time, and the value of T may be acquired according to the number of periods. For example, if the unit time is 1 hour, each day may be divided into 24 periods, and T is 24. The unit time can be set according to actual conditions.
The electricity abandoning cost of the wind power station and the photovoltaic power station can be obtained according to the electricity abandoning quantity of the wind power station and the photovoltaic power station, the power generation cost of the thermal power unit can be obtained according to the total power of the thermal power unit, and the loss cost of the direct current line can be obtained according to the power loss of the direct current line. The unit power generation cost of the thermal power generating unit, the unit electricity abandonment penalty cost of the wind power station and the photoelectric station and the unit loss cost of the direct current line can be obtained in advance, so that the optimal value of the objective function can be obtained by controlling the electricity abandonment amount of the wind power station and the photoelectric station, the total power of the thermal power generating unit and the power loss of the direct current line to be minimum.
On the basis of the foregoing embodiment, in this embodiment, the constraint condition determined according to the power balance constraint of the multi-terminal hybrid direct-current power transmission system is as follows:
Figure BDA0002815412020000111
wherein ,
Figure BDA0002815412020000112
and
Figure BDA0002815412020000113
the power of the wind power station, the photovoltaic power station, the thermal power generating unit and the energy storage power station are respectively the power of the wind power station, the photovoltaic power station, the thermal power generating unit and the energy storage power station on the internet at the moment t every day in s,
Figure BDA0002815412020000114
the direct current sending end in the multi-end hybrid direct current power transmission system and the direct current sending end connected with the direct current sending end within t time of each day in sThe power is exchanged between the earth ac grids,
Figure BDA0002815412020000115
the outgoing power of the direct current line at the moment t in s every day,
Figure BDA0002815412020000116
the power loss of the direct current line at the moment t in s every day.
Specifically, the power balance constraint can be determined according to the grid power of the wind power station, the photovoltaic power station, the thermal power generating unit and the energy storage power station, the exchange power between the direct current transmission end and the local alternating current power grid, and the transmission power and the power loss of the direct current line. These power holding balances may be defined in accordance with power balance constraints. The power of the wind power station, the photovoltaic power station and the thermal power generating unit can be determined according to the generated energy of the wind power station, the photovoltaic power station and the thermal power generating unit.
On the basis of the foregoing embodiment, in this embodiment, the constructing an objective function with the objective of minimizing the operation cost of the multi-terminal hybrid dc power transmission system in each energy storage layout scheme further includes: calculating the average weighted Euler distance between the historical power generation curve of the wind power station in any day of any quarter and the historical power generation curve of other days of the quarter; taking the historical power generation curve corresponding to the minimum average weighted Euler distance as a typical daily power generation curve of the wind power station in the quarter; calculating the average weighted Euler distance between the historical power generation curve of the photovoltaic station in any day of any quarter and the historical power generation curve of other days of the quarter; taking the historical power generation curve corresponding to the minimum average weighted Euler distance as a typical daily power generation curve of the photovoltaic station in the quarter; the sum of the electric power abandoned by the wind power station at the t moment in each day in the s quarter and the internet power of the wind power station at the t moment in each day in the s quarter is equal to the electric power generated by the wind power station at the t moment in a typical daily power generation curve in the s quarter; the power loss of the photovoltaic power station at the t moment in each day in the s quarter plus the power on the grid of the photovoltaic power station at the t moment in each day in the s quarter is equal to the power generation of the photovoltaic power station at the t moment in a typical daily power generation curve in the s quarter.
Specifically, for a wind power plant, a daily power generation curve thereof may be acquired, and the daily power generation curve is referred to as a daily power generation curve. The daily power generation curve is used for describing the power generation amount of the wind power station at each moment every day. According to the historical power generation data of the wind power station, the historical power generation curve of the wind power station in each quarter can be obtained. In general, the variation range of the power generation amount of the wind power plant in any quarter is small, and a power generation curve of the wind power plant, which is representative of the power generation curves in the quarter, can be used as a typical daily power generation curve in the quarter. By calculating an average weighted euler distance between the historical power generation curves of the wind power plant on any day of the quarter and the historical power generation curves on other days of the quarter, a typical daily power generation curve for the quarter may be determined. And obtaining a representative power generation curve according to the average weighted Euler distance. The average weighted euler distance calculation formula is as follows:
Figure BDA0002815412020000121
wherein ,Sxyz(d) Weighted average Euler distance, N, between historical power generation curves of day d in any quarter and historical power generation curves of other days in that quarterxyzNumber of historical power generation curves, k, representing other daysaAs a weighting factor, Δ PHLmax(d) The daily maximum peak shaver requirement, Δ P, for the historical power generation curve for day d of the quarterHLmax(q) is the daily maximum peak shaver requirement, Δ P, for the qth historical force curve of the other historical force curvesHLmin(d) Daily minimum Peak shaver requirement, Δ P, for the historical Power Generation Curve for day d of the quarterHLmin(q) represents the daily minimum peak shaver requirement for the qth of the other historical force profiles.
By the average weighted euler distance calculation formula, the average weighted euler distance between the historical power generation curve for each day in the quarter and the historical power generation curves for the other days in the quarter can be obtained. By contrast, the historical power generation curve corresponding to the minimum average weighted euler distance can be obtained and used as the typical daily power generation curve of the wind power station in the quarter.
The sum of the power curtailment of the wind power station at the t moment in each day in the s quarter and the power on-line of the wind power station at the t moment in each day in the s quarter is equal to the power generation amount of the wind power station at the t moment in a typical daily power generation curve in the s quarter. Likewise, the photovoltaic station may also calculate its typical daily power generation curve over each quarter in this manner.
On the basis of the foregoing embodiments, in this embodiment, the constraint condition determined according to the output constraint of the thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system is as follows:
Figure BDA0002815412020000131
wherein ,
Figure BDA0002815412020000132
and
Figure BDA0002815412020000133
respectively is the minimum value and the maximum value of the online power of the live generator set g in the multi-terminal hybrid direct-current power transmission system, s is any quarter,
Figure BDA0002815412020000134
the grid power u of the thermal power generating unit g at the moment of t every day in ss,g,tThe starting and stopping state u of the thermal power generating unit g at the moment t in s every days,g,jThe on-off state of the thermal power generating unit g at j moment in s every day,
Figure BDA0002815412020000135
and
Figure BDA0002815412020000136
respectively the minimum duration of the on state and the minimum duration of the off state of the thermal power generating unit g,
Figure BDA0002815412020000137
and
Figure BDA0002815412020000138
respectively the maximum and minimum technical output of the thermal power generating unit g,
Figure BDA0002815412020000139
and
Figure BDA00028154120200001310
the ascending ramp rate and the descending ramp rate of the thermal power generating unit g are respectively.
wherein ,us,t,gThe starting and stopping states of the thermal power generating unit g at the moment t in s every day can be represented by 1 or 0 variable. When the thermal power generating unit is in a starting state, us,t,g1 is ═ 1; when the thermal power generating unit is in a shutdown state, us,t,g0. The upward climbing rate refers to the output of the thermal power generating unit which can be increased in unit time, and the downward climbing rate refers to the output of the thermal power generating unit which can be decreased in unit time. The minimum value and the maximum value of the downward climbing speed, the upward climbing speed and the online power of the thermal power generating unit can be obtained through the thermal power generating unit data in the multi-terminal hybrid direct-current power transmission system.
According to the output constraint of the thermal power generating unit, the grid power of the thermal power generating unit can be limited within a certain range, and the power generation cost of the thermal power generating unit in the objective function is further constrained. The power generation amount of the thermal power generating unit can be controlled by controlling the on-off state of the thermal power generating unit.
On the basis of the foregoing embodiments, in this embodiment, the constraint condition determined according to the energy storage constraint of the energy storage power station in the multi-terminal hybrid direct-current power transmission system is:
Figure BDA0002815412020000141
wherein ,NnI is the total number of nodes where energy storage power stations are located in the multi-terminal hybrid direct current power transmission system, i is the node where any energy storage power station is located,
Figure BDA0002815412020000142
for the energy storage capacity of the energy storage power station planned at node i in the multi-terminal hybrid direct current transmission system,
Figure BDA0002815412020000143
for the total energy storage capacity of the energy storage power station planned in the multi-terminal hybrid direct-current transmission system, s is any quarter,
Figure BDA0002815412020000144
the electric quantity value stored by the energy storage power station at the node i at the moment T in s every day, T is the number of the unit time in each day,
Figure BDA0002815412020000145
and
Figure BDA0002815412020000146
respectively the charging state and the discharging state of the energy storage power station at the node i at the moment t in s every day,
Figure BDA0002815412020000147
the output power, eta, of the energy storage power station at the node i when the energy storage power station operates at the time t in s every dayc and ηdThe charging efficiency and the discharging efficiency of the energy storage power station are respectively,
Figure BDA0002815412020000148
the minimum amount of power stored in the energy storage power station at the node i,
Figure BDA0002815412020000149
is the minimum output power P of the energy storage power station at the node i during operationi ESSAnd the maximum output power of the energy storage power station planned at the node i is obtained.
The node is a point connecting a plurality of lines or a point connected with a load or a generator. The energy storage capacity refers to the amount of electricity that each energy storage power station can store. The total energy storage capacity is equal to the sum of the energy storage capacities of the energy storage power stations. The energy storage power station not only can be a wind power stationThe generated electric quantity of the photoelectric station or the thermal power generating unit is stored, and the stored electric quantity can be output.
Figure BDA00028154120200001410
And
Figure BDA00028154120200001411
the charging state and the discharging state of the energy storage power station at the moment t can be respectively represented by 0 or 1, and
Figure BDA00028154120200001412
the energy storage capacity, the total energy storage capacity, the maximum output power and the minimum output power of the energy storage power station can be obtained through the energy storage data in the multi-terminal hybrid direct-current power transmission system. The node where the energy storage power station is located can be obtained through power station data in the multi-terminal hybrid direct-current power transmission system.
The energy storage constraint can be used for constraining the electric quantity range stored by each energy storage power station and the output power range when each energy storage power station operates, and further constraining the electricity abandoning cost of the wind power station and the photovoltaic power station in the objective function and the power generation cost of the thermal power generating unit.
On the basis of the foregoing embodiments, in this embodiment, the constraint condition determined according to the operation constraint of the dc line in the multi-terminal hybrid dc power transmission system is:
Figure BDA0002815412020000151
wherein s is any quarter, k is a node where any converter station in the multi-terminal hybrid direct-current transmission system is located, and Uk,s,t and Ik,s,tThe output voltage and the output current, U, of the converter station at the node k at the time t of each day in sk,s, tIk,s,tFor the input power or output power of the converter station at said node k at time t per day in s,
Figure BDA0002815412020000152
and
Figure BDA0002815412020000153
respectively a minimum rated power and a maximum rated power, P, of the converter station at said node kl,s,tThe transmission power P of a direct current line l in the multi-terminal hybrid direct current transmission system at the moment of t in s every dayl,up and Pl,downRespectively a limited value of the rising rate and a limited value of the falling rate of the transmission power of the direct current line l, Pl,minIs the minimum transmissible power, y, of the DC line ll,s,t and zl,s,tRespectively an ascending state and a descending state of the transmission power of the direct current line l at the moment of t in s every day, NdThe maximum value of the state switching times of the transmission power of the direct current line l in each day.
Wherein the converter station may convert alternating current to direct current or direct current to alternating current. The connection mode among the converter stations can adopt a serial connection mode, a parallel connection mode or a ring network mode. The present embodiment does not limit the connection between the converter stations. y isl,t and zl,tWhich respectively represent the rising and falling states of the transmission power of the dc link l at time t and can be denoted by 1 or 0. If the rising rate, the falling rate, or the switching frequency of the transmission power of the dc line is too large, the electric energy transmission fails, and the loss cost of the dc line is increased. The operating constraints of the dc link may define a range of input or output powers of the converter station, a range of changes in the transmission power of the dc link at any two adjacent time instants, and a range of number of state-switching times of the transmission power of the dc link per day. The power loss cost of the dc link in the objective function can be constrained by these constraints.
The energy storage layout device of the multi-terminal hybrid dc power transmission system provided by the present invention is described below, and the energy storage layout device of the multi-terminal hybrid dc power transmission system described below and the energy storage layout method of the multi-terminal hybrid dc power transmission system described above may be referred to correspondingly.
As shown in fig. 3, the energy storage layout apparatus of the multi-terminal hybrid dc power transmission system provided in this embodiment includes an obtaining module 301, a constructing module 302, a determining module 303, and a selecting module 304;
the acquisition module 301 is configured to acquire multiple energy storage layout schemes of the energy storage power stations according to the preset number and multiple preset installation positions of the energy storage power stations;
specifically, the present embodiment is not limited to the preset number of energy storage power stations, and the number of energy storage power stations may be one or more. The preset installation position of the energy storage power station is not defined in this embodiment either. As shown in fig. 2, the energy storage power station may be deployed at a new energy base in a multi-terminal hybrid dc transmission system. When the energy storage power station is arranged at a new energy base, after a small alternating current power grid at the new energy base is accessed, the energy storage power station is converted by the VSC converter station, is accessed to the multi-terminal flexible direct current transmission system for collection, and is converted into traditional high-voltage direct current by the LCC converter station to be sent out. The energy storage power station can also be distributed at the direct current outgoing and collecting position in the multi-terminal hybrid direct current power transmission system. When the energy storage power station is arranged at the direct current delivery and collection position, the energy storage power station is connected to a small alternating current power grid at the direct current delivery and collection position and then is converted into traditional high-voltage direct current through the LCC converter station to be delivered. The energy storage power stations can also be respectively distributed in small alternating current power grids connected to a new energy base and a direct current delivery collection position.
Because the preset number of the energy storage power stations is one or more, and a plurality of preset installation positions are provided, each energy storage power station can be installed at any preset installation position. Any of the predetermined installation locations may or may not include one or more energy storage power stations. Therefore, various energy storage layout schemes of the energy storage power station can be obtained.
The building module 302 is configured to build an objective function with a goal of minimizing an operation cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme;
the operation cost of the multi-terminal hybrid direct-current power transmission system can be the annual operation cost of the multi-terminal hybrid direct-current power transmission system, and can also be the quarterly operation cost of the multi-terminal hybrid direct-current power transmission system. In order to realize the maximum consumption of new energy by a power grid, the minimum electricity abandoning cost of a new energy power station can be used as a target to construct a target function; and constructing an objective function by combining the minimum value of the power generation cost of the thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system and the loss cost of the direct-current line. By constructing the objective function in this way, the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme can be ensured, and new energy consumption can be promoted.
The determining module 303 is configured to determine a constraint condition of the objective function according to a power balance constraint of the multi-terminal hybrid direct-current power transmission system, an output constraint of a thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system, an energy storage constraint of an energy storage power station, and an operation constraint of a direct-current line;
specifically, the constraint conditions of the objective function are determined by comprehensively considering power balance constraint, output constraint of a thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line, so that the performance of the multi-terminal hybrid direct-current power transmission system can be reflected, and the constraint of the objective function is more accurate. The power balance constraint is to balance the power generated by each power station, the loss power on the line and the power output by the line in the multi-terminal hybrid direct-current transmission system.
The selecting module 304 is configured to calculate a value of the objective function under each energy storage layout scheme according to the constraint condition, and use the energy storage layout scheme corresponding to the minimum value of the objective function as an optimal energy storage layout scheme.
Specifically, according to the determined constraint conditions, the value of the objective function under each energy storage layout scheme can be obtained based on the optimization algorithm. In this embodiment, the optimization algorithm for solving the objective function is not limited, and may be a genetic algorithm or the like. And the value of the objective function under each energy storage layout scheme corresponds to the minimum value of the running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme. By comparing the values of the objective functions under each energy storage layout scheme, the minimum value of the objective functions under all the energy storage layout schemes can be obtained. And taking the energy storage layout scheme corresponding to the minimum value of the objective function as the optimal energy storage layout scheme. Accordingly, the installation position of each energy storage power station in the optimal energy storage layout scheme is optimal.
According to the embodiment, multiple energy storage layout schemes of the energy storage power stations are obtained according to the preset number and the preset installation positions of the energy storage power stations, power balance constraint, output constraint of a thermal power generating unit, energy storage constraint of the energy storage power stations and operation constraint of a direct current circuit are comprehensively considered, constraint conditions of a target function under each energy storage layout scheme are determined, constraint on the target function is more accurate, the energy storage layout schemes obtained from the multiple energy storage layout schemes are optimal, and layout of the energy storage power stations in a multi-terminal hybrid direct current power transmission system is optimal.
On the basis of the above embodiment, the formula of the objective function in this embodiment is:
Figure BDA0002815412020000181
wherein F represents the objective function, s is any quarter, NsIs the total number of s, T is the number per day of s per unit time, psProbability of s, TyThe number of the days of the year is,
Figure BDA0002815412020000182
for the power generation cost of the thermal power generating unit at the moment t in s every day,
Figure BDA0002815412020000183
the penalty cost of the wind power station and the photoelectric station in the multi-terminal hybrid direct-current transmission system at the time of t in s each day is calculated,
Figure BDA0002815412020000184
for the loss cost, k, of the DC line at time t of day in sgenFor the unit power generation cost of the thermal power generating unit,
Figure BDA0002815412020000185
the total power k of the thermal power generating unit at the time t in s every daywind and kPVThe unit electricity abandoning punishment cost of the wind power station and the photovoltaic power station is respectively,
Figure BDA0002815412020000186
and
Figure BDA0002815412020000187
respectively the electricity abandonment quantity k of the wind power station and the photoelectric station at the time t in s each dayLossFor the unit loss cost of the dc line,
Figure BDA0002815412020000188
the power loss of the direct current line at the moment t in s every day.
On the basis of the foregoing embodiment, the determining module in this embodiment is specifically configured to: the constraint condition determined according to the power balance constraint of the multi-terminal hybrid direct-current power transmission system is as follows:
Figure BDA0002815412020000189
wherein ,
Figure BDA00028154120200001810
and
Figure BDA00028154120200001811
the power of the wind power station, the photovoltaic power station, the thermal power generating unit and the energy storage power station are respectively the power of the wind power station, the photovoltaic power station, the thermal power generating unit and the energy storage power station on the internet at the moment t every day in s,
Figure BDA00028154120200001812
for exchanging power between a dc-link and a local ac grid connected to the dc-link in the multi-terminal hybrid dc transmission system at time t within s,
Figure BDA00028154120200001813
the outgoing power of the direct current line at the moment t in s every day,
Figure BDA00028154120200001814
the power loss of the direct current line at the moment t in s every day.
On the basis of the above embodiment, the embodiment further includes a calculating module specifically configured to: calculating the average weighted Euler distance between the historical power generation curve of the wind power station in any day of any quarter and the historical power generation curve of other days of the quarter; taking the historical power generation curve corresponding to the minimum average weighted Euler distance as a typical daily power generation curve of the wind power station in the quarter; calculating the average weighted Euler distance between the historical power generation curve of the photovoltaic station in any day of any quarter and the historical power generation curve of other days of the quarter; taking the historical power generation curve corresponding to the minimum average weighted Euler distance as a typical daily power generation curve of the photovoltaic station in the quarter; the sum of the electric power abandoned by the wind power station at the t moment in each day in the s quarter and the internet power of the wind power station at the t moment in each day in the s quarter is equal to the electric power generated by the wind power station at the t moment in a typical daily power generation curve in the s quarter; the power loss of the photovoltaic power station at the t moment in each day in the s quarter plus the power on the grid of the photovoltaic power station at the t moment in each day in the s quarter is equal to the power generation of the photovoltaic power station at the t moment in a typical daily power generation curve in the s quarter.
On the basis of the foregoing embodiments, in this embodiment, the determining module is further configured to: the constraint condition determined according to the output constraint of the live generator set in the multi-terminal hybrid direct-current transmission system is as follows:
Figure BDA0002815412020000191
wherein ,
Figure BDA0002815412020000192
and
Figure BDA0002815412020000193
respectively is the minimum value and the maximum value of the online power of the live generator set g in the multi-terminal hybrid direct-current power transmission system, s is any quarter,
Figure BDA0002815412020000194
is the thermal power generatorThe group g is the internet access power at the moment t in s every day, us,g,tThe starting and stopping state u of the thermal power generating unit g at the moment t in s every days,g,jThe on-off state of the thermal power generating unit g at j moment in s every day,
Figure BDA0002815412020000195
and
Figure BDA0002815412020000196
respectively the minimum duration of the on state and the minimum duration of the off state of the thermal power generating unit g,
Figure BDA0002815412020000197
and
Figure BDA0002815412020000198
respectively the maximum and minimum technical output of the thermal power generating unit g,
Figure BDA0002815412020000201
and
Figure BDA0002815412020000202
the ascending ramp rate and the descending ramp rate of the thermal power generating unit g are respectively.
On the basis of the foregoing embodiments, in this embodiment, the determining module is further configured to: the constraint condition determined according to the energy storage constraint of the energy storage power station in the multi-terminal hybrid direct-current power transmission system is as follows:
Figure BDA0002815412020000203
wherein ,NnI is the total number of nodes where energy storage power stations are located in the multi-terminal hybrid direct current power transmission system, i is the node where any energy storage power station is located,
Figure BDA0002815412020000204
for the energy storage capacity of the energy storage power station planned at node i in the multi-terminal hybrid direct current transmission system,
Figure BDA0002815412020000205
for the total energy storage capacity of the energy storage power station planned in the multi-terminal hybrid direct-current transmission system, s is any quarter,
Figure BDA0002815412020000206
the electric quantity value stored by the energy storage power station at the node i at the moment T in s every day, T is the number of the unit time in each day,
Figure BDA0002815412020000207
and
Figure BDA0002815412020000208
respectively the charging state and the discharging state of the energy storage power station at the node i at the moment t in s every day,
Figure BDA0002815412020000209
the output power, eta, of the energy storage power station at the node i when the energy storage power station operates at the time t in s every dayc and ηdThe charging efficiency and the discharging efficiency of the energy storage power station are respectively,
Figure BDA00028154120200002010
the minimum amount of power stored in the energy storage power station at the node i,
Figure BDA00028154120200002011
is the minimum output power P of the energy storage power station at the node i during operationi ESSAnd the maximum output power of the energy storage power station planned at the node i is obtained.
On the basis of the foregoing embodiments, in this embodiment, the determining module is further configured to: the constraint condition determined according to the operation constraint of the direct current line in the multi-terminal hybrid direct current power transmission system is as follows:
Figure BDA0002815412020000211
wherein s is any quarter, k is a node where any converter station in the multi-terminal hybrid direct-current transmission system is located, and Uk,s,t and Ik,s,tThe output voltage and the output current, U, of the converter station at the node k at the time t of each day in sk,s, tIk,s,tFor the input power or output power of the converter station at said node k at time t per day in s,
Figure BDA0002815412020000212
and
Figure BDA0002815412020000213
respectively a minimum rated power and a maximum rated power, P, of the converter station at said node kl,s,tThe transmission power P of a direct current line l in the multi-terminal hybrid direct current transmission system at the moment of t in s every dayl,up and Pl,downRespectively a limited value of the rising rate and a limited value of the falling rate of the transmission power of the direct current line l, Pl,minIs the minimum transmissible power, y, of the DC line ll,s,t and zl,s,tRespectively an ascending state and a descending state of the transmission power of the direct current line l at the moment of t in s every day, NdThe maximum value of the state switching times of the transmission power of the direct current line l in each day.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)401, a communication Interface (communication Interface)402, a memory (memory)403 and a communication bus 404, wherein the processor 401, the communication Interface 402 and the memory 403 complete communication with each other through the communication bus 404. Processor 401 may invoke logic instructions in memory 403 to perform a method of energy storage placement for a multi-terminal hybrid dc power transmission system, the method comprising: acquiring multiple energy storage layout schemes of the energy storage power stations according to the preset number and the preset installation positions of the energy storage power stations; constructing an objective function by taking the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme as an objective; determining constraint conditions of the objective function according to power balance constraint of the multi-terminal hybrid direct-current power transmission system, output constraint of a thermal power unit in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line; and calculating the value of the target function under each energy storage layout scheme according to the constraint condition, and taking the energy storage layout scheme corresponding to the minimum value of the target function as the optimal energy storage layout scheme.
In addition, the logic instructions in the memory 403 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the energy storage layout method of a multi-terminal hybrid dc power transmission system provided by the above methods, the method comprising: acquiring multiple energy storage layout schemes of the energy storage power stations according to the preset number and the preset installation positions of the energy storage power stations; constructing an objective function by taking the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme as an objective; determining constraint conditions of the objective function according to power balance constraint of the multi-terminal hybrid direct-current power transmission system, output constraint of a thermal power unit in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line; and calculating the value of the target function under each energy storage layout scheme according to the constraint condition, and taking the energy storage layout scheme corresponding to the minimum value of the target function as the optimal energy storage layout scheme.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the energy storage layout method of the multi-terminal hybrid dc power transmission system provided in each of the above, the method comprising: acquiring multiple energy storage layout schemes of the energy storage power stations according to the preset number and the preset installation positions of the energy storage power stations; constructing an objective function by taking the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme as an objective; determining constraint conditions of the objective function according to power balance constraint of the multi-terminal hybrid direct-current power transmission system, output constraint of a thermal power unit in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line; and calculating the value of the target function under each energy storage layout scheme according to the constraint condition, and taking the energy storage layout scheme corresponding to the minimum value of the target function as the optimal energy storage layout scheme.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. An energy storage layout method of a multi-terminal hybrid direct-current power transmission system is characterized by comprising the following steps:
acquiring multiple energy storage layout schemes of the energy storage power stations according to the preset number and the preset installation positions of the energy storage power stations;
constructing an objective function by taking the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme as an objective;
determining constraint conditions of the objective function according to power balance constraint of the multi-terminal hybrid direct-current power transmission system, output constraint of a thermal power unit in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line;
and calculating the value of the target function under each energy storage layout scheme according to the constraint condition, and taking the energy storage layout scheme corresponding to the minimum value of the target function as the optimal energy storage layout scheme.
2. The energy storage layout method of the multi-terminal hybrid direct-current power transmission system according to claim 1, wherein the formula of the objective function is as follows:
Figure FDA0002815412010000011
wherein F represents the objective function, s is any quarter, NsIs the total number of s, T is the number per day of s per unit time, psProbability of s, TyThe number of the days of the year is,
Figure FDA0002815412010000012
for the power generation cost of the thermal power generating unit at the moment t in s every day,
Figure FDA0002815412010000013
the penalty cost of the wind power station and the photoelectric station in the multi-terminal hybrid direct-current transmission system at the time of t in s each day is calculated,
Figure FDA0002815412010000014
for the loss cost, k, of the DC line at time t of day in sgenFor the unit power generation cost of the thermal power generating unit,
Figure FDA0002815412010000015
the total power k of the thermal power generating unit at the time t in s every daywind and kPVThe unit electricity abandoning punishment cost of the wind power station and the photovoltaic power station is respectively,
Figure FDA0002815412010000016
and
Figure FDA0002815412010000017
respectively the electricity abandonment quantity k of the wind power station and the photoelectric station at the time t in s each dayLossFor the unit loss cost of the dc line,
Figure FDA0002815412010000021
work of the direct current line at t moment of each day in sThe rate is lost.
3. The energy storage topology method of the multi-terminal hybrid direct current transmission system according to claim 2, wherein the constraint condition determined according to the power balance constraint of the multi-terminal hybrid direct current transmission system is:
Figure FDA0002815412010000022
wherein ,
Figure FDA0002815412010000023
and
Figure FDA0002815412010000024
the power of the wind power station, the photovoltaic power station, the thermal power generating unit and the energy storage power station are respectively the power of the wind power station, the photovoltaic power station, the thermal power generating unit and the energy storage power station on the internet at the moment t every day in s,
Figure FDA0002815412010000025
for exchanging power between a dc-link and a local ac grid connected to the dc-link in the multi-terminal hybrid dc transmission system at time t within s,
Figure FDA0002815412010000026
the outgoing power of the direct current line at the moment t in s every day,
Figure FDA0002815412010000027
the power loss of the direct current line at the moment t in s every day.
4. The energy storage layout method for a multi-terminal hybrid dc power transmission system according to claim 3, wherein the constructing an objective function with the objective of minimizing the operation cost of the multi-terminal hybrid dc power transmission system in each energy storage layout scheme further comprises:
calculating the average weighted Euler distance between the historical power generation curve of the wind power station in any day of any quarter and the historical power generation curve of other days of the quarter;
taking the historical power generation curve corresponding to the minimum average weighted Euler distance as a typical daily power generation curve of the wind power station in the quarter;
calculating the average weighted Euler distance between the historical power generation curve of the photovoltaic station in any day of any quarter and the historical power generation curve of other days of the quarter;
taking the historical power generation curve corresponding to the minimum average weighted Euler distance as a typical daily power generation curve of the photovoltaic station in the quarter;
the sum of the electric power abandoned by the wind power station at the t moment in each day in the s quarter and the internet power of the wind power station at the t moment in each day in the s quarter is equal to the electric power generated by the wind power station at the t moment in a typical daily power generation curve in the s quarter;
the power loss of the photovoltaic power station at the t moment in each day in the s quarter plus the power on the grid of the photovoltaic power station at the t moment in each day in the s quarter is equal to the power generation of the photovoltaic power station at the t moment in a typical daily power generation curve in the s quarter.
5. The energy storage layout method for the multi-terminal hybrid direct-current transmission system according to any one of claims 1 to 4, wherein the constraint conditions determined according to the output constraints of the thermoelectric generator set in the multi-terminal hybrid direct-current transmission system are as follows:
Figure FDA0002815412010000031
wherein ,
Figure FDA0002815412010000032
and
Figure FDA0002815412010000033
respectively is the minimum value of the network power of the live generator group g in the multi-terminal hybrid direct-current transmission systemAnd a maximum value, s being any quarter,
Figure FDA0002815412010000034
the grid power u of the thermal power generating unit g at the moment of t every day in ss,g,tThe starting and stopping state u of the thermal power generating unit g at the moment t in s every days,g,jThe on-off state of the thermal power generating unit g at j moment in s every day,
Figure FDA0002815412010000035
and
Figure FDA0002815412010000036
respectively the minimum duration of the on state and the minimum duration of the off state of the thermal power generating unit g,
Figure FDA0002815412010000037
and
Figure FDA0002815412010000038
respectively the maximum and minimum technical output of the thermal power generating unit g,
Figure FDA0002815412010000039
and
Figure FDA00028154120100000310
the ascending ramp rate and the descending ramp rate of the thermal power generating unit g are respectively.
6. The energy storage layout method for the multi-terminal hybrid direct-current power transmission system according to any one of claims 1 to 4, wherein the constraint conditions determined according to the energy storage constraints of the energy storage power stations in the multi-terminal hybrid direct-current power transmission system are as follows:
Figure FDA00028154120100000311
wherein ,NnI is the total number of nodes where energy storage power stations are located in the multi-terminal hybrid direct current power transmission system, i is the node where any energy storage power station is located,
Figure FDA0002815412010000041
for the energy storage capacity of the energy storage power station planned at node i in the multi-terminal hybrid direct current transmission system,
Figure FDA0002815412010000042
for the total energy storage capacity of the energy storage power station planned in the multi-terminal hybrid direct-current transmission system, s is any quarter,
Figure FDA0002815412010000043
the electric quantity value stored by the energy storage power station at the node i at the moment T in s every day, T is the number of the unit time in each day,
Figure FDA0002815412010000044
and
Figure FDA0002815412010000045
respectively the charging state and the discharging state of the energy storage power station at the node i at the moment t in s every day,
Figure FDA0002815412010000046
the output power, eta, of the energy storage power station at the node i when the energy storage power station operates at the time t in s every dayc and ηdThe charging efficiency and the discharging efficiency of the energy storage power station are respectively,
Figure FDA0002815412010000047
the minimum value of the stored electric quantity of the energy storage power station at the node i,
Figure FDA0002815412010000048
is the minimum output power P of the energy storage power station at the node i during operationi ESSIs a stand forAnd the maximum output power of the energy storage power station planned at the node i.
7. The energy storage topology method of the multi-terminal hybrid direct current transmission system according to any one of claims 1 to 4, wherein the constraint condition determined according to the operation constraint of the direct current lines in the multi-terminal hybrid direct current transmission system is:
Figure FDA0002815412010000049
wherein s is any quarter, k is a node where any converter station in the multi-terminal hybrid direct-current transmission system is located, and Uk,s,t and Ik,s,tThe output voltage and the output current, U, of the converter station at the node k at the time t of each day in sk,s,tIk,s,tFor the input power or output power of the converter station at said node k at time t per day in s,
Figure FDA00028154120100000410
and
Figure FDA00028154120100000411
respectively a minimum rated power and a maximum rated power, P, of the converter station at said node kl,s,tThe transmission power P of a direct current line l in the multi-terminal hybrid direct current transmission system at the moment of t in s every dayl,up and Pl,downRespectively a limited value of the rising rate and a limited value of the falling rate of the transmission power of the direct current line l, Pl,minIs the minimum transmissible power, y, of the DC line ll,s,t and zl,s,tRespectively an ascending state and a descending state of the transmission power of the direct current line l at the moment of t in s every day, NdThe maximum value of the state switching times of the transmission power of the direct current line l in each day.
8. An energy storage layout device of a multi-terminal hybrid direct-current transmission system, comprising:
the acquisition module is used for acquiring various energy storage layout schemes of the energy storage power stations according to the preset number and the preset installation positions of the energy storage power stations;
the building module is used for building an objective function by taking the minimum running cost of the multi-terminal hybrid direct-current power transmission system in each energy storage layout scheme as an objective;
the determining module is used for determining constraint conditions of the objective function according to power balance constraint of the multi-terminal hybrid direct-current power transmission system, output constraint of a thermoelectric generator set in the multi-terminal hybrid direct-current power transmission system, energy storage constraint of an energy storage power station and operation constraint of a direct-current line;
and the selecting module is used for calculating the value of the target function under each energy storage layout scheme according to the constraint condition and taking the energy storage layout scheme corresponding to the minimum value of the target function as the optimal energy storage layout scheme.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor when executing the program realizes the steps of the energy storage topology method of a multi-terminal hybrid direct current power transmission system according to any of claims 1 to 7.
10. A non-transitory computer readable storage medium, having stored thereon a computer program, wherein the computer program, when being executed by a processor, is adapted to carry out the steps of the energy storage layout method of the multi-terminal hybrid direct current power transmission system according to any one of claims 1 to 7.
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