CN113592125B - Matching optimization comparison selection method and system for extra-high voltage direct current matched power supply - Google Patents

Matching optimization comparison selection method and system for extra-high voltage direct current matched power supply Download PDF

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CN113592125B
CN113592125B CN202010362406.XA CN202010362406A CN113592125B CN 113592125 B CN113592125 B CN 113592125B CN 202010362406 A CN202010362406 A CN 202010362406A CN 113592125 B CN113592125 B CN 113592125B
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new energy
power
proportioning
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proportioning scheme
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CN113592125A (en
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孙伟
吕盼
王新刚
孙立成
吴高磊
周专
张艳
刘奎
左雅
付高善
崔福海
李香平
孟宪珍
辛超山
陈伟伟
荆世博
耿照为
高雷
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State Grid Xinjiang Electric Power Co Ltd
Electric Power Planning and Engineering Institute Co Ltd
Economic and Technological Research Institute of State Grid Xinjiang Electric Power Co Ltd
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State Grid Xinjiang Electric Power Co Ltd
Electric Power Planning and Engineering Institute Co Ltd
Economic and Technological Research Institute of State Grid Xinjiang Electric Power Co Ltd
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Abstract

The invention provides a matching optimization comparison method and a matching optimization comparison system for an extra-high voltage direct current matched power supply, comprising the following steps: obtaining a plurality of alternative power supply proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load and peak regulation characteristic of the receiving end region, wherein each proportioning scheme respectively comprises a new energy installed capacity and a matched thermal power installed capacity; determining the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price in each proportioning scheme; and determining an optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price. The invention takes the goals of power guarantee of the receiving end, new energy power rejection rate, new energy electric quantity duty ratio, economy and the like into consideration, and ensures the adaptability and economy of the recommended scheme through multi-scheme comparison and selection. The invention has tight connection with ultra-high voltage cross-region power transmission planning, has strong applicability, can be used as a functional module to be embedded into the existing power system planning and formulating process, has small development difficulty and high development efficiency, and has strong practicability.

Description

Matching optimization comparison selection method and system for extra-high voltage direct current matched power supply
Technical Field
The invention belongs to the technical field of power system planning, and particularly relates to a matching optimization comparison selection method and system for an extra-high voltage direct current matched power supply.
Background
The different distribution of the resource endowment and the load determines that when the resource endowment and the load distribution deviate, the energy power flow for transmitting power from the resource-rich region to the high-load region is unavoidable. Taking China as an example, the renewable energy resources such as coal resources, wind and light and the like in the 'Sanbei' area are rich, and the renewable energy resources are main areas for building a comprehensive energy base in the future and meeting the economic and social development demands in the south of the middle east.
The instability of renewable energy sources such as wind and light determines that when the renewable energy sources are constructed and transmitted, the renewable energy sources need to be matched with stable and adjustable energy sources such as thermal power so as to ensure that a power receiving party obtains stable power supply. For example, the extra-high voltage transmission channels in operation and planning in the 'Sanbei' region of China are mainly thermal power, the proportion of matched wind power and photovoltaic power generation of each channel is greatly different, for example, the extra-high voltage direct current transmission channel with the voltage level of +/-800 kV and the rated output power of 800 kilowatts in Henan Zheng state from Hami of Xinjiang is built in 2014, the planned matched power supply is 660 kilowatts of thermal power, 800 kilowatts of wind power and 125 kilowatts of photovoltaic power, and the matched installed proportion of thermal power, wind power and photovoltaic power generation is 5.3:6.4:1; and the ultra-high voltage direct current transmission channel with the voltage class of +/-1100 kV and rated output power of 1200 kilowatts from the Guandong to the Anhui in Xinjiang is built into production in 10 months in 2019, the planning matched power supply is 1320 kilowatts of thermal power, 520 kilowatts of wind power and 250 kilowatts of photovoltaic, and the matched installed proportion of thermal power, wind power and photovoltaic power generation is 5.3:2.1:1. At present, the determination method of the extra-high voltage channel matched power supply is not unified, the characteristics of new energy resources at the transmitting end cannot be comprehensively considered in the determination process of the matched power supply of each base, and factors such as power demand at the receiving end, load characteristics, peak regulation margin, renewable energy power demand and the like are difficult to meet the scientific development demands of the future comprehensive energy base.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an extra-high voltage direct current matched power supply proportioning optimization comparison method, which comprises the following steps:
obtaining a plurality of alternative power supply proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load and peak regulation characteristic of the receiving end region, wherein each proportioning scheme respectively comprises a new energy installed capacity and a matched thermal power installed capacity;
determining the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price in each proportioning scheme;
and determining an optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price.
Preferably, the obtaining a plurality of alternative power proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load and the peak shaving characteristic of the receiving end region includes:
obtaining an extra-high voltage direct current power transmission curve according to the load and peak regulation characteristics of the receiving end region;
And obtaining a plurality of alternative power proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power transmission curve.
Preferably, the obtaining an extra-high voltage direct current power transmission curve according to the load and peak regulation characteristics of the receiving end region includes:
Determining a direct current power transmission curve step according to the annual load characteristic and the typical daily load characteristic of the receiving end region in winter and summer;
And optimizing and adjusting the steps of the direct current power transmission curve according to typical daily peak regulation characteristics in winter and summer in the receiving end region to obtain an extra-high voltage direct current power transmission curve.
Preferably, the obtaining a plurality of alternative power proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power transmission curve includes:
Reading a plurality of new energy installed capacities meeting the new energy duty ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power transmission curve from a pre-established alternative scheme library;
calculating matched thermal power installed capacity according to the installed capacity of each new energy and the reasonable utilization hours of the thermal power;
The new energy installed capacity and the matched thermal power installed capacity respectively form a plurality of alternative power supply proportioning schemes;
Wherein the new energy power generation characteristics include: a new energy power generation theoretical output curve and a new energy capacity limit;
preferably, the calculation formula of the matched thermal power installation capacity is as follows:
In the method, in the process of the invention, The thermal power installed capacity of the s-th proportioning scheme is represented, E represents the annual power transmission quantity of the ultra-high voltage direct current transmission channel, N s represents the new energy installed capacity of the s-th proportioning scheme, T N represents the annual theoretical hours of new energy power generation, and T I represents the reasonable utilization hours of the fire power.
Preferably, the determining the new energy power ratio, the new energy power rejection rate and the average power price in each proportioning scheme includes:
respectively inputting each proportioning scheme into a pre-established optimization model to obtain new energy output and electric power discarding at each moment in each proportioning scheme;
According to the new energy output and the electric power discarding at each moment, the new energy electric quantity ratio, the new energy electric discarding rate and the average electricity price of each proportioning scheme are calculated respectively;
the optimization model is established by taking the minimum of new energy power rejection and electric quantity support obtained from a system as an objective function and taking power balance, thermal power output, thermal power climbing and new energy output as constraint conditions;
Preferably, the calculation formula of the new energy electric quantity ratio is as follows:
Wherein R s represents the new energy electric quantity ratio of the s-th proportioning scheme, P s N (t) represents the new energy output at the t moment of the s-th proportioning scheme, E represents the annual power transmission quantity of the ultra-high voltage direct current transmission channel, and N represents the total number of time periods;
preferably, the calculation formula of the new energy power rejection rate is as follows:
Wherein Ω s represents the new energy power-off rate of the s-th proportioning scheme, P s NC (t) represents the new energy power-off rate of the s-th proportioning scheme at the time t, P s N (t) represents the new energy power output of the s-th proportioning scheme at the time t, and N represents the total number of time periods;
preferably, the average electricity price is calculated as follows:
Wherein, C s represents the average electricity price of the S-th proportioning scheme, P s N (t) represents the new energy output at the time of the S-th proportioning scheme, P s I (t) represents the matched thermal power output at the time of the S-th proportioning scheme, S s (t) represents the electric quantity support obtained from the power supply system at the time of the S-th proportioning scheme, C N represents the new energy electricity price, C I represents the thermal power price, C SU represents the power transmission price of the power supply network at the power supply end, E represents the annual power supply quantity of the ultra-high voltage direct current transmission channel, and N represents the total time period.
Preferably, the objective function is represented by the following formula:
In the formula, f represents an objective function, N represents the total number of time periods, P s NC (t) represents new energy power rejection at the time of the S-th proportioning scheme t, and S s (t) represents electric quantity support obtained from the power system at the time of the S-th proportioning scheme t.
Preferably, the power balance constraint condition is as follows:
Wherein, P s I (t) represents the thermal power output matched with the S-th proportioning scheme t at the moment, P s N (t) represents the new energy output of the S-th proportioning scheme t at the moment, S s (t) represents the electric quantity support obtained from the power system at the power supply end at the moment of the S-th proportioning scheme t, and P T (t) represents the extra-high voltage direct current power transmission at the moment t;
the thermal power output constraint condition is shown as follows:
wherein, P min represents the minimum value of the matched thermal power output, and P max represents the maximum value of the matched thermal power output;
the thermal power climbing constraint condition is shown as follows:
Wherein P s I (t-1) represents the matched thermal power output at the time of the s-th proportioning scheme t-1, L + represents the maximum increasing output change rate of the matched thermal power unit in each time period, and L - represents the maximum decreasing output change rate of the matched thermal power unit in each time period;
the new energy output constraint condition is shown as follows:
Wherein N s represents the new energy installed capacity in the s-th proportioning scheme, and k N (t) represents the new energy power generation theoretical output curve coefficient at the moment t; the new energy power generation theoretical output curve coefficient k N (t) is obtained by dividing the new energy power generation theoretical output at the moment t by the installed capacity; p s NC (t) represents new energy waste electric power at the time t of the s-th proportioning scheme.
Preferably, the determining the optimal proportioning scheme according to the new energy electric quantity duty ratio, the new energy electricity discarding rate and the average electricity price includes:
according to the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price, calculating the competitive scores of all the proportioning schemes respectively;
taking the matching scheme with the highest score as an optimization comparison result;
The optimization model is obtained by taking the minimum of new energy power waste and power support obtained from an electric power system as targets, and the competitiveness score is obtained by calculating by taking the new energy power ratio, the new energy power waste rate, the power supply guarantee capability of a matched power supply and the average electricity price into consideration; the new energy power generation characteristics include: a new energy power generation theoretical output curve and a new energy capacity limit.
Preferably, the calculation formula of the competitive score of the proportioning scheme is as follows:
Fs＝f1sη1+f2sη2+f3sη3+f4sη4
Wherein F s represents a competitive score of the s-th proportioning scheme, F 1s represents a new energy power-off score of the s-th proportioning scheme, η 1 represents a weight of F 1s, F 2s represents a supporting power supply guarantee capability score of the s-th proportioning scheme, η 2 represents a weight of F 2s, F 3s represents a renewable energy power duty score of the s-th proportioning scheme, η 3 represents a weight of F 3s, F 4s represents an average power price score of the s-th proportioning scheme, and η 4 represents a weight of F 4s;
The calculation formula of the new energy power rejection rate score f 1s of the s-th proportioning scheme is as follows:
f1s＝(Ωmax-Ωs)/Ωmax
Wherein, Ω s represents the new energy power-off rate of the s-th proportioning scheme, and Ω max represents the allowable maximum power-off rate;
The calculation formula of the power supply guarantee capability score f 2s of the matched power supply of the s-th proportioning scheme is as follows:
wherein S s (t) represents the electric quantity support obtained from the power system at the power transmission end at the time t of the S-th proportioning scheme, E Smax represents the maximum allowable electric quantity which can be supported from the power system at the power transmission end, and N represents the total number of time periods;
The calculation formula of the renewable energy power ratio score f 3s of the s-th proportioning scheme is as follows:
f3s＝Rs/Rmin
Wherein R s represents the new energy electric quantity ratio of the s-th proportioning scheme, and R min represents the minimum renewable energy ratio requirement of the extra-high voltage direct current channel;
The average price score f 4s for the s-th proportioning scheme is calculated as follows:
f4s＝Cmax-Cs
Wherein C s represents the average power price of the s-th proportioning scheme, and C max represents the highest ground power price bearable by the receiving end minus the value of extra-high voltage direct current line network charge.
Based on the same inventive concept, the invention also provides an ultra-high voltage direct current matched power supply proportion optimization comparison and selection system, which comprises: the system comprises a proportioning scheme module, an index calculation module and an optimal proportioning module;
The proportioning scheme module is used for obtaining a plurality of alternative power proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load of the receiving end region and the peak regulation characteristic, wherein each proportioning scheme respectively comprises new energy installed capacity and matched thermal power installed capacity;
The index calculation module is used for determining the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price in each proportioning scheme;
And the optimal proportioning module is used for determining an optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention provides a matching optimization comparison method and a matching optimization comparison system for an extra-high voltage direct current matched power supply, comprising the following steps: obtaining a plurality of alternative power supply proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load and peak regulation characteristic of the receiving end region, wherein each proportioning scheme respectively comprises a new energy installed capacity and a matched thermal power installed capacity; determining the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price in each proportioning scheme; and determining the optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price. The invention provides a method and a system for planning and selecting the matching of an extra-high voltage direct current matched power supply in combination with the actual working flow of the power system planning, which provide an effective tool for the power system planning. The invention takes the goals of power guarantee of the receiving end, new energy power rejection rate, new energy electric quantity duty ratio, economy and the like into consideration, and ensures the adaptability and economy of the recommended scheme through multi-scheme comparison and selection. The method and the system are closely related to ultra-high voltage cross-regional power transmission planning, have strong applicability, can be used as a functional module to be embedded into the existing power system planning and making process, have small development difficulty and high development efficiency, and have strong practicability.
Drawings
FIG. 1 is a schematic flow chart of an optimized comparison method for matching of extra-high voltage direct current matched power supplies;
FIG. 2 is a schematic flow chart of an embodiment of a matching optimization comparison method for an extra-high voltage direct current matched power supply provided by the invention;
fig. 3 is a basic structure schematic diagram of an optimized comparison and selection system for matching of extra-high voltage direct current matched power supplies;
Fig. 4 is a detailed structural schematic diagram of an optimized matching and selecting system for an extra-high voltage direct current matched power supply.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the drawings.
Example 1:
the invention provides a method for optimizing and comparing the proportion of an extra-high voltage direct current matched power supply, which is shown in a flow chart in figure 1 and comprises the following steps:
Step 1: obtaining a plurality of alternative power supply proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load and peak regulation characteristic of the receiving end region, wherein each proportioning scheme respectively comprises a new energy installed capacity and a matched thermal power installed capacity;
step 2: determining the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price in each proportioning scheme;
step 3: and determining an optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price.
Specifically, the invention provides an optimal ratio selection method for matching extra-high voltage direct current matched power supplies, and the specific implementation mode is shown in fig. 2 and comprises the following steps:
(1) And determining an extra-high voltage direct current transmission power curve.
The method comprises the steps of (1.1) determining a direct current power transmission curve according to the annual load characteristic and the typical daily load characteristic of winter and summer in a receiving end region;
And (1.2) optimizing and adjusting the steps of the direct current power transmission curve according to typical daily peak regulation characteristics in winter and summer of the receiving end region to obtain an extra-high voltage direct current power transmission curve, wherein a point P T (t) on the curve represents the extra-high voltage direct current power transmission at the moment t.
(2) And (3) taking wind power and photovoltaic power generation as examples of new energy power generation, and reading theoretical output curves of wind power and photovoltaic power generation at a transmitting end and power transmission prices of thermal power, wind power, photovoltaic power generation and a transmitting end power grid.
The theoretical output curve of wind power and photovoltaic power generation is the theoretical output curve coefficient of wind power and photovoltaic power generation which does not consider electricity abandoning and is hour by hour in the whole year, and the theoretical output/installed capacity of wind power and photovoltaic power generation is equal in value. The theoretical output curve coefficient of wind power at the time t is recorded as k W (t), and the theoretical output curve coefficient of photovoltaic power generation at the time t is recorded as k S (t). Wherein t is a time sequence number, t is more than or equal to 1 and less than or equal to N, and N=8760 is the annual time period number.
The power transmission prices of the power grid at the power recording end, the wind power generation end and the photovoltaic power generation end are c I、cW、cS、cSU respectively, and the unit is Yuan/kWh.
(3) And according to the electric quantity ratio requirement of the renewable energy source of the extra-high voltage direct current channel and the power generation characteristic of the new energy source of the transmitting end, a plurality of alternative power supply proportioning schemes are drawn.
(3.1) Analyzing the output characteristics of wind power and photovoltaic power generation, and calculating the theoretical utilization hours of wind power and photovoltaic power generation year;
And (3) counting the theoretical hours of wind power generation year as T W and the theoretical hours of photovoltaic power generation year as T S. Calculated according to the following formula:
And (3.2) reading the installed capacities of wind power and photovoltaic power generation of different power supply proportioning schemes from a pre-established alternative scheme library, wherein the capacities are respectively marked as W s,Ss, and the subscript s represents the scheme. The scheme can meet the requirements of an extra-high voltage direct current power transmission power curve and an extra-high voltage direct current renewable energy electric quantity ratio corresponding to the installed capacity, and meet the condition of new energy resources, such as the limit of new energy capacity.
And (3.3) determining the loading capacity of the matched thermal power unit according to the ratio of the thermal power to the electric quantity of the ultra-high voltage transmission channel, the reasonable utilization hours of the thermal power and the type of the matched thermal power unit according to different power supply proportioning schemes.
For scheme s, calculate:
Wherein E is the annual power transmission quantity of the power transmission channel, T I is the number of reasonable utilization hours of the matched thermal power,And matching the theoretical value of the thermal power capacity with the matching scheme s. Comprehensively consider the factors such as thermal power unit selection, number of units, single unit capacity and the like, and then, afterAnd selecting I s nearby as a scheme s to match with the thermal power capacity.
(4) And constructing an optimization model, performing operation simulation analysis on each formulated power supply proportioning scheme, and calculating indexes such as new energy electric quantity ratio, new energy electricity discarding rate, average price and the like.
(4.1) For each scheme, constructing an operation simulation optimization model. For simplicity of description, the scheme subscript s is omitted from the model. The optimization model is as follows:
The equation (1) is an objective function, and the minimum energy waste amount and the minimum energy support obtained from the system, namely the power system at the transmitting end, are used as optimization targets. P WC (t) is the power of the wind power at the time t, P SC (t) is the power of the photovoltaic power generation at the time t, and S (t) is the electric quantity support obtained from the power system at the time t by direct current. Formulas (2) to (8) are constraint conditions. And P I(t)、PW(t)、 PS (t) is the output of matched thermal power, wind power and photovoltaic power generation at the time t respectively. P min and P max are respectively the minimum output and the maximum output of the thermal power unit, the maintenance blockage of the matched thermal power unit is not considered, and when all the thermal power units are started, P max＝Is.L+ and L - are respectively the maximum increase output and the decrease output change rate of the thermal power unit per hour.
And (4.2) carrying out optimization solution on each scheme s by adopting the model in (4.1) to obtain new energy output and electric power discarding data at each moment. Calculating a new energy electric quantity ratio R s, a new energy power rejection rate omega s and an average price C s corresponding to the optimal solution according to the new energy output and power rejection data;
(5) A plurality of comparison targets and weight coefficients thereof are determined.
The method considers 4 scheme ratio selection sub-targets, namely a new energy power rejection rate score f 1, a matched power supply guarantee capability score f 2, a renewable energy power duty ratio score f 3 and an average power price score f 4. The weight coefficients of the 4 targets are η 1、η2、η3、η4 respectively.
Wherein:
f 1s＝(Ωmax-Ωs)/Ωmax,Ωmax is the maximum allowable power rejection, such as 10% or other reasonable value.
E Smax is the maximum allowable amount of power that can be supported (or understeered) from the grid, for example, 5% xe or other reasonable value.
F 3s＝Rs/Rmin,Rmin is the minimum renewable energy source duty ratio requirement of the extra-high voltage direct current channel, such as 30% or other rational value.
F 4s＝Cmax-Cs, wherein C max is the highest ground electricity price bearable by the receiving end minus the extra-high voltage direct current line net charge.
(6) And calculating the competitive scores of all the schemes, and selecting the scheme with the highest competitive score as the recommended scheme.
The level of competitiveness of each solution is determined by means of a weighted average. Wherein the competitiveness score F s for scheme s is:
Fs＝f1sη1+f2sη2+f3sη3+f4sη4
and selecting the scheme with the highest comprehensive competitiveness as the optimal power supply proportioning scheme.
Example 2:
Based on the same conception, the invention also provides an extra-high voltage direct current matched power supply ratio optimizing and comparing system, and as the principle of solving the technical problems of the equipment is similar to that of an extra-high voltage direct current matched power supply ratio optimizing and comparing method, repeated parts are not repeated.
The basic structure of the system is shown in fig. 3, and comprises: the system comprises a proportioning scheme module, an index calculation module and an optimal proportioning module;
The proportioning scheme module is used for obtaining a plurality of alternative power proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load of the receiving end region and the peak regulation characteristic, wherein each proportioning scheme respectively comprises a new energy installed capacity and a matched thermal power installed capacity;
The index calculation module is used for determining the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price in each proportioning scheme;
And the optimal proportioning module is used for determining an optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price.
The detailed structure of the matching optimizing and comparing system of the extra-high voltage direct current matched power supply is shown in figure 4.
Wherein, the proportioning scheme module includes: a power transmission curve unit and a proportioning scheme unit;
the power transmission curve unit is used for obtaining an extra-high voltage direct current power transmission curve according to the load and peak regulation characteristics of the receiving end region;
and the proportioning scheme unit is used for obtaining a plurality of alternative power proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power transmission curve.
Wherein, power transmission curve unit includes: a curve step subunit and a power transmission curve unit subunit;
the curve step subunit is used for determining a direct current power transmission power curve step according to the annual load characteristic and the typical daily load characteristic of the receiving end region in winter and summer;
And the power transmission curve unit subunit is used for optimizing and adjusting the direct current power transmission curve step according to the typical daily peak regulation characteristics in winter and summer in the receiving end region to obtain an extra-high voltage direct current power transmission curve.
Wherein, proportioning scheme unit includes: a scheme reading subunit, a thermal power capacity subunit and a proportioning scheme subunit;
the scheme reading subunit is used for reading a plurality of new energy installed capacities meeting the new energy duty ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power transmission curve from a pre-established alternative scheme library;
The fire capacitor quantum unit is used for calculating matched fire electricity installed capacity according to the installed capacity of each new energy source and the reasonable utilization hours of the thermal power;
the proportioning scheme subunit is used for respectively forming a plurality of alternative power proportioning schemes according to the new energy installed capacity and the matched thermal power installed capacity;
the new energy power generation characteristics include: a new energy power generation theoretical output curve and a new energy capacity limit.
Wherein, the index calculation module includes: the power output and discarding unit and the index calculation unit;
The output and power discarding unit is used for inputting each proportioning scheme into a pre-established optimization model respectively to obtain new energy output and power discarding at each moment in each proportioning scheme;
The index calculation unit is used for calculating the new energy power ratio, the new energy power rejection rate and the average power price of each proportioning scheme according to the new energy output and the power rejection power at each moment;
the optimization model is established by taking the minimum of new energy power rejection and electric quantity support obtained from a system as an objective function and taking power balance, thermal power output, thermal power climbing and new energy output as constraint conditions.
Wherein, the optimal proportioning module includes: a competitive scoring unit and an optimal proportioning unit;
The competition force scoring unit is used for respectively calculating competition force scores of all the proportioning schemes according to the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price;
the optimal proportioning unit is used for taking the proportioning scheme with the highest score as an optimal proportioning result;
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the scope of protection thereof, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that various changes, modifications or equivalent substitutions can be made to the specific embodiments of the application after reading the present application, and these changes, modifications or equivalent substitutions are all within the scope of protection of the claims to be filed.

Claims (13)

1. The matching optimization comparison method for the extra-high voltage direct current matched power supply is characterized by comprising the following steps of:
Obtaining a plurality of alternative power supply proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load and peak regulation characteristic of the receiving end region, wherein each proportioning scheme respectively comprises a new energy installed capacity and a matched thermal power installed capacity;
determining the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price in each proportioning scheme;
determining an optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price;
The determining of the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price in each proportioning scheme comprises the following steps:
respectively inputting each proportioning scheme into a pre-established optimization model to obtain new energy output and electric power discarding at each moment in each proportioning scheme;
According to the new energy output and the electric power discarding at each moment, the new energy electric quantity ratio, the new energy electric discarding rate and the average electricity price of each proportioning scheme are calculated respectively;
The optimization model is established by taking the minimum of new energy power rejection and electric quantity support obtained from a system as an objective function and taking power balance, thermal power output, thermal power climbing and new energy output as constraint conditions.
2. The method of claim 1, wherein the obtaining a plurality of alternative power proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load of the receiving end area and the peak shaving characteristic comprises:
obtaining an extra-high voltage direct current power transmission curve according to the load and peak regulation characteristics of the receiving end region;
And obtaining a plurality of alternative power supply proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power transmission curve.
3. The method of claim 2, wherein the obtaining the extra-high voltage dc power curve according to the load and peak shaving characteristics of the receiving area comprises:
Determining a direct current power transmission curve step according to the annual load characteristic and the typical daily load characteristic of the receiving end region in winter and summer;
And optimizing and adjusting the steps of the direct current power transmission curve according to typical daily peak regulation characteristics in winter and summer in the receiving end region to obtain an extra-high voltage direct current power transmission curve.
4. The method of claim 2, wherein the obtaining a plurality of alternative power proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power transmission curve comprises:
Reading a plurality of new energy installed capacities meeting the new energy duty ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power transmission curve from a pre-established alternative scheme library;
calculating matched thermal power installed capacity according to the installed capacity of each new energy and the reasonable utilization hours of the thermal power;
The new energy installed capacity and the matched thermal power installed capacity respectively form a plurality of alternative power supply proportioning schemes;
Wherein the new energy power generation characteristics include: a new energy power generation theoretical output curve and a new energy capacity limit.
5. The method of claim 4 wherein the matched installed capacity of thermal power is calculated as:
In the method, in the process of the invention, The thermal power installed capacity of the s-th proportioning scheme is represented, E represents the annual power transmission quantity of the ultra-high voltage direct current transmission channel, N s represents the new energy installed capacity of the s-th proportioning scheme, T N represents the annual theoretical hours of new energy power generation, and T I represents the reasonable utilization hours of thermal power.
6. The method of claim 1, wherein the new energy power ratio is calculated as follows:
Wherein R s represents the new energy electric quantity ratio of the s-th proportioning scheme, P s N (t) represents the new energy output at the t moment of the s-th proportioning scheme, E represents the annual power transmission quantity of the ultra-high voltage direct current transmission channel, and N represents the total number of time periods.
7. The method of claim 1, wherein the new energy power rejection rate is calculated as follows:
Wherein Ω s represents the new energy power-off rate of the s-th proportioning scheme, P s NC (t) represents the new energy power-off rate of the s-th proportioning scheme at the time t, P s N (t) represents the new energy power output of the s-th proportioning scheme at the time t, and N represents the total number of time periods.
8. The method of claim 1, wherein the average electricity price is calculated as follows:
Wherein, C s represents the average electricity price of the S-th proportioning scheme, P s N (t) represents the new energy output at the t moment of the S-th proportioning scheme, P s I (t) represents the matched thermal power output at the t moment of the S-th proportioning scheme, S s (t) represents the electric quantity support obtained from the power supply system at the t moment of the S-th proportioning scheme, C N represents the new energy electricity price, C I represents the thermal power price, C SU represents the power price of power supply of the power supply network at the power supply end, E represents the annual power supply quantity of the ultra-high voltage direct current power transmission channel, and N represents the total time period.
9. The method of claim 1, wherein the objective function is represented by the formula:
In the formula, f represents an objective function, N represents the total number of time periods, P s NC (t) represents new energy power rejection at the time of the S-th proportioning scheme t, and S s (t) represents electric quantity support obtained from the power system at the time of the S-th proportioning scheme t.
10. The method of claim 1, wherein the power balance constraint is represented by the formula:
Wherein, P s I (t) represents the thermal power output matched with the S-th proportioning scheme t at the moment, P s N (t) represents the new energy output of the S-th proportioning scheme t at the moment, S s (t) represents the electric quantity support obtained from the power system at the power transmission end at the S-th proportioning scheme t at the moment, and P T (t) represents the extra-high voltage direct current power transmission at the t moment;
the thermal power output constraint condition is shown as follows:
wherein, P min represents the minimum value of the matched thermal power output, and P max represents the maximum value of the matched thermal power output;
the thermal power climbing constraint condition is shown as follows:
Wherein P s I (t-1) represents the matched thermal power output at the time of the s-th proportioning scheme t-1, L + represents the maximum increasing output change rate of the matched thermal power unit in each time period, and L - represents the maximum decreasing output change rate of the matched thermal power unit in each time period;
the new energy output constraint condition is shown as follows:
Wherein N s represents the new energy installed capacity in the s-th proportioning scheme, and k N (t) represents the new energy power generation theoretical output curve coefficient at the moment t; the new energy power generation theoretical output curve coefficient k N (t) is obtained by dividing the new energy power generation theoretical output at the moment t by the installed capacity; and the new energy waste electric power at the time t of the s-th proportioning scheme is represented.
11. The method of claim 1, wherein the determining the optimal proportioning scheme according to the new energy power ratio, the new energy power rejection rate and the average power price comprises:
according to the new energy electric quantity ratio, the new energy electricity rejection rate and the average electricity price, calculating the competitive scores of all the proportioning schemes respectively;
taking the matching scheme with the highest score as an optimization comparison result;
The competitive score is calculated by considering the new energy electric quantity ratio, the new energy power rejection rate, the power supply guarantee capability of the matched power supply and the average power price; the new energy power generation characteristics include: a new energy power generation theoretical output curve and a new energy capacity limit.
12. The method of claim 11, wherein the proportioning scheme competitiveness score is calculated as follows:
Fs＝f1sη1+f2sη2+f3sη3+f4sη4
Wherein F s represents a competitive score of the s-th proportioning scheme, F 1s represents a new energy power-off score of the s-th proportioning scheme, η 1 represents a weight of F 1s, F 2s represents a supporting power supply guarantee capability score of the s-th proportioning scheme, η 2 represents a weight of F 2s, F 3s represents a renewable energy power duty ratio score of the s-th proportioning scheme, η 3 represents a weight of F 3s, F 4s represents an average power price score of the s-th proportioning scheme, and η 4 represents a weight of F 4s;
The calculation formula of the new energy power rejection rate score f 1s of the s-th proportioning scheme is as follows:
f1s＝(Ωmax-Ωs)/Ωmax
Wherein, Ω s represents the new energy power-off rate of the s-th proportioning scheme, and Ω max represents the allowable maximum power-off rate;
the calculation formula of the power supply guarantee capability score f 2s of the matched power supply of the s-th proportioning scheme is as follows:
Wherein S s (t) represents the electric quantity support obtained from the power system at the power transmission end at the time t of the S-th proportioning scheme, E Smax represents the maximum allowable electric quantity which can be supported from the power system at the power transmission end, and N represents the total number of time periods;
The calculation formula of the renewable energy power ratio score f 3s of the s-th proportioning scheme is as follows:
f3s＝Rs/Rmin
Wherein R s represents the new energy electric quantity ratio of the s-th proportioning scheme, and R min represents the minimum renewable energy ratio requirement of the extra-high voltage direct current channel;
The average price score f 4s for the s-th proportioning scheme is calculated as follows:
f4s＝Cmax-Cs
Wherein C s represents the average power price of the s-th proportioning scheme, and C max represents the highest ground power price bearable by the receiving end minus the value of extra-high voltage direct current line network charge.
13. The utility model provides an extra-high voltage direct current supporting power ratio optimization compares selection system which characterized in that includes: the system comprises a proportioning scheme module, an index calculation module and an optimal proportioning module;
The proportioning scheme module is used for obtaining a plurality of alternative power proportioning schemes according to the new energy duty ratio requirement, the new energy power generation characteristic, the load of the receiving end region and the peak regulation characteristic, wherein each proportioning scheme respectively comprises a new energy installed capacity and a matched thermal power installed capacity;
The index calculation module is used for determining the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price in each proportioning scheme;
the optimal proportioning module is used for determining an optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price;
The determining of the new energy electric quantity ratio, the new energy electricity discarding rate and the average electricity price in each proportioning scheme comprises the following steps:
respectively inputting each proportioning scheme into a pre-established optimization model to obtain new energy output and electric power discarding at each moment in each proportioning scheme;
According to the new energy output and the electric power discarding at each moment, the new energy electric quantity ratio, the new energy electric discarding rate and the average electricity price of each proportioning scheme are calculated respectively;
The optimization model is established by taking the minimum of new energy power rejection and electric quantity support obtained from a system as an objective function and taking power balance, thermal power output, thermal power climbing and new energy output as constraint conditions.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112085276A (en) * 2020-09-09 2020-12-15 天津大学 High-permeability wind-solar power generation-containing power supply system capacity matching optimization method

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CN110336329A (en) * 2019-05-28 2019-10-15 国网江苏省电力有限公司 Receiving end peak load regulation network control method after extra-high voltage direct-current and new energy participation
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Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112085276A (en) * 2020-09-09 2020-12-15 天津大学 High-permeability wind-solar power generation-containing power supply system capacity matching optimization method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
特高压直流主送新能源技术经济研究;张晋芳，郑宽，黄瀚，栗楠，冯君淑，刘俊;中国电力;第50卷(第6期);1-6 *

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