CN113592125A - Proportion optimization comparison and selection method and system for extra-high voltage direct-current matching power supply - Google Patents

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

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CN113592125A
CN113592125A CN202010362406.XA CN202010362406A CN113592125A CN 113592125 A CN113592125 A CN 113592125A CN 202010362406 A CN202010362406 A CN 202010362406A CN 113592125 A CN113592125 A CN 113592125A
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new energy
power
proportioning
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high voltage
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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 and selection method and a matching optimization comparison and selection system for an extra-high voltage direct current matched power supply, wherein the matching optimization comparison and selection method comprises the following steps: obtaining a plurality of alternative power supply proportioning schemes according to the new energy ratio requirement, the new energy power generation characteristic, the load of a receiving terminal area and the peak regulation characteristic, wherein each proportioning scheme respectively comprises the installed capacity of the new energy and the installed capacity of matched thermal power; determining the electric quantity ratio of the new energy, the power abandon rate of the new energy and the average electricity price in each proportioning scheme; and determining an optimal proportioning scheme according to the electric quantity ratio of the new energy, the power abandonment rate of the new energy and the average electricity price. The method and the system have the advantages that the objectives of receiving-end power guarantee, the new energy power curtailment rate, the new energy electric quantity ratio, the economy and the like are considered, and the adaptability and the economy of the recommended scheme are guaranteed through multi-scheme selection. The invention is closely related to the ultra-high voltage trans-regional power transmission planning, has strong applicability, can be used as a functional module to be embedded into the planning and formulating process of the conventional power system, and has the advantages of small development difficulty, high development efficiency and strong practicability.

Description

Proportion optimization comparison and selection method and system for extra-high voltage direct-current matching power supply
Technical Field
The invention belongs to the technical field of power system planning, and particularly relates to a matching optimization comparison and selection method and system for an extra-high voltage direct-current matched power supply.
Background
The different distributions of the resource endowments and the loads determine that when the resource endowments and the load distributions deviate, the energy power flow transmitted from the resource-rich area to the high-load area is inevitable. Taking China as an example, renewable energy resources such as coal resources, wind and light and the like in the 'three-north' region are rich, and the energy resource is a main region for building a comprehensive energy base and meeting the economic and social development requirements of southern regions in the middle east in the future.
The instability of renewable energy sources such as wind and light determines that stable and adjustable energy sources such as thermal power need to be matched when the renewable energy sources are constructed and transmitted so as to ensure that a power receiving party obtains stable power supply. For example, the ultra-high voltage transmission channels in operation and planning in the three north area of China all use thermal power as the main power, the proportion of the wind power and photovoltaic power generation matched with each channel is greatly different, for example, the ultra-high voltage direct current transmission channel with the voltage grade of +/-800 kV and the rated output power of 800 ten thousand kilowatts in Hami to Henan Zheng State in Xinjiang is built in 2014, the planning matched power supply is 660 ten thousand kilowatts of thermal power, 800 ten thousand kilowatts of wind power and 125 ten thousand kilowatts of photovoltaic power generation, and the installed proportion of the matched thermal power, the wind power and the photovoltaic power generation is 5.3:6.4: 1; and an extra-high voltage direct-current transmission channel with the voltage grade of +/-1100 kV and rated output power of 1200 kilowatts in Xinjiang, namely east to Anhui province is built and put into production in 2019 and 10 months, thermal power 1320 kilowatts, wind power 520 kilowatts and photovoltaic 250 kilowatts are planned as matched power sources, and the installed proportion of the matched thermal power, wind power and photovoltaic power generation is 5.3:2.1: 1. At present, a method for determining extra-high voltage channel matching power supplies is not unified, factors such as new energy resource characteristics of a sending end, receiving end power requirements, load characteristics, peak regulation margin, renewable energy power requirements and the like cannot be comprehensively considered in the process of determining the matching power supplies of all bases, and the scientific development requirements of future comprehensive energy bases are difficult to meet.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a matching optimization comparison and selection method for an extra-high voltage direct current matching power supply, which comprises the following steps:
obtaining a plurality of alternative power supply proportioning schemes according to the new energy ratio requirement, the new energy power generation characteristic, the load of a receiving terminal area and the peak regulation characteristic, wherein each proportioning scheme respectively comprises the installed capacity of the new energy and the installed capacity of matched thermal power;
determining the electric quantity ratio of the new energy, the power abandon rate of the new energy and the average electricity price in each matching scheme;
and determining an optimal proportioning scheme according to the electric quantity ratio of the new energy, the power abandonment rate of the new energy and the average electricity price.
Preferably, the obtaining of a plurality of alternative power supply proportioning schemes according to the new energy ratio requirement, the new energy power generation characteristic, the load of the receiving end area and the peak regulation characteristic includes:
obtaining an extra-high voltage direct current transmission power curve according to the load and peak regulation characteristics of a receiving end area;
and obtaining a plurality of alternative power supply matching schemes according to the new energy ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current transmission power curve.
Preferably, the obtaining an extra-high voltage direct current transmission power curve according to the load and peak shaving characteristics of the receiving end region includes:
determining a direct current transmission power curve step according to the annual load characteristic of a receiving end region and the typical daily load characteristic in winter and summer;
and optimizing and adjusting the steps of the direct current transmission power curve according to the typical peak regulation characteristics of the receiving end region in winter and summer to obtain an extra-high voltage direct current transmission power curve.
Preferably, the obtaining of a plurality of alternative power supply matching schemes according to the new energy ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current transmission power curve includes:
reading a plurality of new energy installed capacities which meet the new energy ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power supply power curve from a pre-established alternative solution library;
respectively calculating the installed capacity of the matched thermal power according to the installed capacity of each new energy and the number of hours for reasonably utilizing 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: the theoretical output curve of new energy power generation and the capacity limit of new energy;
preferably, the calculation formula of the matched thermal power installed capacity is as follows:
Figure BDA0002475450080000021
in the formula (I), the compound is shown in the specification,
Figure BDA0002475450080000022
expressing the installed thermal power capacity of the s-th proportioning scheme, E expressing the annual power transmission capacity of the extra-high voltage direct-current transmission channel, and NsNew energy installed capacity, T, representing the s-th proportioning planNRepresents the annual theoretical hours, T, of new energy power generationIIndicating the number of hours of reasonable utilization of the fire electricity.
Preferably, the determining of the new energy electric quantity ratio, the new energy electricity abandonment rate and the average electricity price in each matching scheme includes:
respectively inputting each proportioning scheme into a pre-established optimization model to obtain the output of new energy and the electric power abandon at each moment in each proportioning scheme;
respectively calculating the electric quantity ratio of the new energy, the electric power abandon rate of the new energy and the average electricity price of each proportioning scheme according to the output of the new energy and the electric power abandon at each moment;
the optimization model is established by taking the minimum support of the electric quantity abandoned by the new energy and the electric quantity obtained from the system as a target 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:
Figure BDA0002475450080000031
in the formula, RsRepresenting the new energy electric quantity ratio, P, of the s-th proportioning schemes N(t) the new energy output at the moment t of the s-th proportioning scheme is represented, E represents the annual power transmission quantity of the extra-high voltage direct-current power transmission channel, and N represents the total time period;
preferably, the calculation formula of the new energy power abandonment rate is as follows:
Figure BDA0002475450080000032
in the formula, omegasRepresents the new energy power abandon rate of the s-th proportioning scheme, Ps NC(t) represents the new energy electric power abandon at the time t of the s-th proportioning scheme, Ps N(t) represents the new energy output of the s-th proportioning scheme at the t moment, and N represents the total time period;
preferably, the average electricity price is calculated as follows:
Figure BDA0002475450080000033
in the formula, CsRepresents the average electricity price, P, of the s-th proportioning schemes N(t) New energy output at time t of the s-th proportioning scheme, Ps I(t) shows the matched thermal power output at the moment of the S proportioning scheme t, Ss(t) represents the s-th proportioning scheme obtained from the transmitting end power system at the t momentElectric power support, cNRepresents the price of new energy electricity, cIRepresenting the thermal power price, cSUAnd E represents the annual power transmission amount of the extra-high voltage direct-current transmission channel, and N represents the total time period.
Preferably, the objective function is represented by the following formula:
Figure BDA0002475450080000034
wherein f represents an objective function, N represents a total number of time periods, Ps NC(t) represents the electric power of the new energy abandoned at the moment of the S proportioning plan t, Ss(t) represents the support of the amount of power obtained from the transmitting side power system at the time point of the s-th proportioning plan t.
Preferably, the power balance constraint is as follows:
Figure BDA0002475450080000035
in the formula, Ps I(t) represents the matched thermal power output at the moment t of the s proportioning scheme, Ps N(t) represents the new energy output at the time t of the S-th proportioning scheme, Ss(t) represents the support of the quantity of electricity obtained from the transmission side power system at the moment of the s-th proportioning plan t, PT(t) represents the ultra high voltage direct current power transmission at time t;
the thermal power output constraint condition is shown as the following formula:
Figure BDA0002475450080000041
in the formula, PminRepresents the minimum value of the power output of the matched thermal power, PmaxRepresenting the maximum value of the matched thermal power output;
the thermal power climbing constraint condition is as follows:
Figure BDA0002475450080000042
in the formula, Ps I(t-1) represents the matched thermal power output at the t-1 moment of the s proportioning scheme, L+Represents the maximum output change rate of the matched thermal power generating unit in each period, -L-Representing the maximum output reduction change rate of the matched thermal power generating unit in each time period;
the new energy output constraint condition is shown as the following formula:
Figure BDA0002475450080000043
Figure BDA0002475450080000044
in the formula, NsShows the installed capacity of new energy, k, in the s-th proportioning schemeN(t) representing a theoretical output curve coefficient of the new energy power generation at the time t; the new energy power generation theoretical output curve coefficient kN(t) dividing the theoretical output of new energy power generation at the moment t by the installed capacity to obtain the theoretical output of new energy power generation; ps NCAnd (t) represents the new energy abandoned electric power at the moment t of the s-th proportioning scheme.
Preferably, the determining an optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity abandonment rate and the average electricity price includes:
respectively calculating the competitiveness scores of all the matching schemes according to the electric quantity proportion of the new energy, the electricity abandonment rate of the new energy and the average electricity price;
taking the proportioning scheme with the highest score as an optimization comparison result;
the optimization model is obtained by taking the minimum support of electric quantity obtained from the electric power system and the electric quantity abandoned by new energy as targets, and the competitiveness score is calculated by considering the electric quantity ratio of the new energy, the electric energy abandoned rate, the supporting power supply guarantee capacity and the average power price; the new energy power generation characteristics include: and (4) limiting a new energy power generation theoretical output curve and new energy capacity.
Preferably, the calculation formula of the competitive power score of the proportioning scheme is as follows:
Fs＝f1sη1+f2sη2+f3sη3+f4sη4
wherein, FsShows the competitiveness score of the s-th matching scheme, f1sNew energy power curtailment score, eta, representing the s-th proportioning scheme1Denotes f1sWeight of (f)2sIndicates the supporting power supply guarantee capability score, eta of the s-th proportioning scheme2Denotes f2sWeight of (f)3sRepresenting the electric quantity of renewable energy in the s-th proportioning scheme to a score, eta3Denotes f3sWeight of (f)4sRepresents the average electricity price score, η, of the s-th proportioning project4Denotes f4sThe weight of (c);
wherein, the new energy power abandon rate of the s-th proportioning scheme is divided into f1sIs calculated as follows:
f1s＝(Ωmax-Ωs)/Ωmax
in the formula, omegasRepresents the new energy power abandon rate of the s-th proportioning scheme, omegamaxRepresenting the maximum allowable power rejection rate;
supporting power supply guarantee capacity score f of the s-th proportioning scheme2sThe calculation of (a) is as follows:
Figure BDA0002475450080000051
in the formula, Ss(t) represents the support of the quantity of electricity obtained from the transmission side power system at the moment of the s-th proportioning plan t, ESmaxIndicating the maximum allowable amount of power that can be supported from the transmission-side power system, N indicating the total number of time periods;
electric quantity of renewable energy resources of the s-th proportioning scheme is divided into scores f3sIs calculated as follows:
f3s＝Rs/Rmin
in the formula, RsNew energy for representing the s-th proportioning schemeRatio of source electric quantity, RminRepresenting the lowest renewable energy ratio requirement of an extra-high voltage direct current channel;
average electricity price score f of s-th proportioning scheme4sIs calculated as follows:
f4s＝Cmax-Cs
in the formula, CsRepresents the average electricity price of the s-th proportioning scheme, CmaxAnd the value of the highest landing price bearable by the receiving end minus the net charge of the extra-high voltage direct current line is shown.
Based on the same invention concept, the invention also provides an extra-high voltage direct current matching power supply ratio optimization comparison and selection system, which comprises: the system comprises a proportioning scheme module, an index calculation module and an optimal proportioning module;
the matching scheme module is used for obtaining a plurality of alternative power supply matching schemes according to the new energy ratio requirement, the new energy power generation characteristic, the receiving end area load and the peak regulation characteristic, wherein each matching scheme respectively comprises the new energy installed capacity and the matched thermal power installed capacity;
the index calculation module is used for determining the electric quantity ratio of the new energy, the power abandoning rate of the new energy and the average electricity price in each matching scheme;
and the optimal matching module is used for determining an optimal matching scheme according to the electric quantity ratio of the new energy, the power abandonment rate of the new energy and the average power price.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention provides a matching optimization comparison and selection method and a matching optimization comparison and selection system for an extra-high voltage direct current matched power supply, wherein the matching optimization comparison and selection method comprises the following steps: obtaining a plurality of alternative power supply proportioning schemes according to the new energy proportion requirement, the new energy power generation characteristic, the load of a receiving terminal area and the peak regulation characteristic, wherein each proportioning scheme respectively comprises the installed capacity of the new energy and the installed capacity of matched thermal power; determining the electric energy proportion of the new energy, the power abandoning rate of the new energy and the average electricity price in each proportioning scheme; and determining the optimal proportioning scheme according to the electric quantity ratio of the new energy, the power abandonment rate of the new energy and the average electricity price. The invention provides a proportion planning, comparison and selection method and system for an extra-high voltage direct current matching power supply, which are actually provided by combining with a planning work flow of an electric power system, and provides an effective tool for planning the electric power system. The method and the system have the advantages that the objectives of receiving-end power guarantee, the new energy power curtailment rate, the new energy electric quantity ratio, the economy and the like are considered, and the adaptability and the economy of the recommended scheme are guaranteed through multi-scheme selection. The method and the system are closely related to the extra-high voltage trans-regional power transmission planning, have strong applicability, can be used as a functional module to be embedded into the planning and formulating process of the existing power system, and have the advantages of small development difficulty, high development efficiency and strong practicability.
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FIG. 1 is a schematic flow chart of a matching optimization comparison and selection method for an extra-high voltage DC matching power supply provided by the invention;
FIG. 2 is a schematic flow chart of an embodiment of a matching optimization comparison and selection method for an extra-high voltage DC matching power supply provided by the invention;
FIG. 3 is a schematic diagram of a basic structure of a matching optimization comparison and selection system of an extra-high voltage DC matching power supply provided by the invention;
FIG. 4 is a detailed structural diagram of an extra-high voltage DC matching power supply matching optimization comparison system provided by the invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Example 1:
the flow diagram of the proportion optimization comparison and selection method for the extra-high voltage direct-current matching power supply provided by the invention is shown in figure 1, and comprises the following steps:
step 1: obtaining a plurality of alternative power supply proportioning schemes according to the new energy ratio requirement, the new energy power generation characteristic, the load of a receiving terminal area and the peak regulation characteristic, wherein each proportioning scheme respectively comprises the installed capacity of the new energy and the installed capacity of matched thermal power;
step 2: determining the electric quantity ratio of the new energy, the power abandon rate of the new energy and the average electricity price in each proportioning scheme;
and step 3: and determining an optimal proportioning scheme according to the electric quantity ratio of the new energy, the power abandonment rate of the new energy and the average electricity price.
Specifically, the invention provides a matching optimization comparison and selection method for an extra-high voltage direct current matching power supply, 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.
(1.1) determining a direct-current power transmission curve step according to the annual load characteristic of a receiving end region and the typical daily load characteristic in winter and summer;
(1.2) according to the typical daily peak regulation characteristics of winter and summer in the receiving end area, optimizing and adjusting the steps of the direct current transmission power curve to obtain an extra-high voltage direct current transmission power curve, wherein a point P on the curveT(t) represents the extra-high voltage dc power supply at time t.
(2) Wind power and photovoltaic power generation are taken as examples of new energy power generation, and theoretical output curves of the wind power and the photovoltaic power generation at the sending end, and power transmission prices of thermal power, the wind power, the photovoltaic power generation and a power grid at the sending end are read.
The theoretical output curve of wind power and photovoltaic power generation is the theoretical output curve coefficient of wind power and photovoltaic power generation hourly all the year without considering electricity abandon, and the numerical value is equal to the theoretical output/installed capacity of wind power and photovoltaic power generation. Recording the theoretical output curve coefficient of the wind power at the moment t as kW(t), the theoretical output curve coefficient of the photovoltaic power generation at the time t is recorded as kS(t) of (d). Wherein t is the time sequence number, t is more than or equal to 1 and less than or equal to N, and N is 8760 which is the number of the annual time segments.
C is recorded as the transmission prices of thermal power, wind power, photovoltaic power generation and a power grid at a transmitting endI、cW、cS、cSUIn units of units/kWh.
(3) And drawing up a plurality of alternative power supply proportioning schemes according to the electric quantity proportion requirement of the renewable energy source of the extra-high voltage direct current channel and the power generation characteristic of the new energy source at the sending end.
(3.1) analyzing the output characteristics of wind power and photovoltaic power generation, and calculating the annual theoretical utilization hours of the wind power and the photovoltaic power generation;
recording the annual theoretical hours of wind power as TWThe annual theoretical hours of photovoltaic power generation is TS. Calculated according to the following formula:
Figure BDA0002475450080000071
Figure BDA0002475450080000072
(3.2) reading the installed capacities of wind power generation and photovoltaic power generation of different power supply proportioning schemes from a pre-established alternative scheme library, and respectively recording the installed capacities as Ws，SsWherein the subscript s denotes the scheme. The scheme is capable of meeting the requirements of an extra-high voltage direct current power transmission power curve and the electric quantity proportion of extra-high voltage direct current renewable energy sources corresponding to installed capacity, and meeting the conditions of new energy resources, such as the capacity limit of new energy sources.
And (3.3) determining the installed capacity of the matched thermal power according to different power supply proportioning schemes, the electric quantity ratio of the thermal power of the ultra-high voltage power transmission channel, the number of reasonably utilized hours of the thermal power and the type of the matched thermal power unit.
For scheme s, calculate:
Figure BDA0002475450080000073
wherein E is the annual power transmission quantity of the power transmission channel,
Figure BDA0002475450080000074
TIin order to match the reasonable utilization hours of thermal power,
Figure BDA0002475450080000075
and matching a theoretical value of thermal power capacity with a matching scheme s. After factors such as type selection, number of units, single unit capacity and the like of the thermal power generating unit are comprehensively considered
Figure BDA0002475450080000076
Neighborhood selection IsThe scheme s is matched with thermal power capacity.
(4) And constructing an optimization model, carrying out operation simulation analysis on the planned power supply proportioning schemes, and calculating indexes such as the electric quantity ratio of the new energy, the power abandonment rate of the new energy, the average price and the like.
And (4.1) constructing a running simulation optimization model for each scheme. For simplicity of presentation, the scheme subscript s is omitted from the model. The optimization model is as follows:
Figure BDA0002475450080000081
Figure BDA00024754500800000810
Figure BDA0002475450080000082
Figure BDA0002475450080000083
Figure BDA0002475450080000084
Figure BDA0002475450080000085
Figure BDA0002475450080000086
Figure BDA0002475450080000087
the formula (1) is an objective function, and the optimization objectives of the minimum support of the electric quantity obtained from the system, namely the transmitting-end electric power system, and the electric quantity abandoned by the new energy are taken as optimization objectives. PWC(t) electric power rejection at time t of wind power generation, PSC(t) electric power waste at time t of photovoltaic power generation, and S (t) electric power support obtained from a transmission-end electric power system by direct current at time t. Equations (2) to (8) are constraints. PI(t)、PW(t)、 PSAnd (t) respectively matching the output of thermal power, wind power and photovoltaic power generation at the moment t. PminAnd PmaxRespectively the minimum output and the maximum output of the thermal power generating unit, and considering that the maintenance of the matched thermal power is blocked when the thermal power generating unit is started completely, P ismax＝Is。L+And L-The maximum output increasing rate and the maximum output decreasing rate of the thermal power generating unit are respectively.
And (4.2) carrying out optimization solution on each scheme s by adopting the model in the step (4.1) to obtain the new energy output and the abandoned electric power data at each moment. Calculating the new energy electric quantity ratio R corresponding to the optimal solution according to the new energy output and the electric power abandon datasAnd the power abandoning rate omega of new energysAverage price Cs；
Figure BDA0002475450080000088
Figure BDA0002475450080000089
Figure BDA0002475450080000091
(5) A plurality of picking targets and their weighting coefficients are determined.
The method considers 4 case selection sub-targets, namely the new energy power curtailment rate score f1And the power supply guarantee capability score f of the matched power supply2And the electric quantity of the renewable energy resource is divided into a score f3Average electricity price score f4. The weight coefficients of the 4 targets are eta respectively1、η2、η3、η4。
Wherein:
f1s＝(Ωmax-Ωs)/Ωmax，Ωmaxthe allowable maximum power rejection is, for example, 10% or other reasonable value.
Figure BDA0002475450080000092
ESmaxThe maximum allowable amount of power that can be backed up (or underfed) from the grid is, for example, 5% × E or other reasonable value.
f3s＝Rs/Rmin，RminThe energy consumption ratio is the lowest renewable energy ratio requirement of an extra-high voltage direct current channel, such as 30% or other reasonable numerical values.
f4s＝Cmax-CsIn which C ismaxThe extra-high voltage direct current line network charge is subtracted from the highest landing price which can be borne by the receiving end.
(6) And calculating the competitiveness score of each scheme, and selecting the scheme with the highest competitiveness score as a recommended scheme.
The competitive power level of each scheme is determined by means of weighted average. Wherein the competitiveness score F of the scheme ssComprises the following steps:
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 invention concept, the invention also provides an extra-high voltage direct current matching power supply ratio optimization and comparison system, and as the principle of solving the technical problems of the equipment is similar to the extra-high voltage direct current matching power supply ratio optimization and comparison method, repeated parts are not described again.
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 matching scheme module is used for obtaining a plurality of alternative power supply matching schemes according to the new energy ratio requirement, the new energy power generation characteristic, the receiving end area load and the peak regulation characteristic, wherein each matching scheme respectively comprises the new energy installed capacity and the matched thermal power installed capacity;
the index calculation module is used for determining the electric quantity ratio of the new energy, the power abandoning rate of the new energy and the average electricity price in each matching scheme;
and the optimal matching module is used for determining an optimal matching scheme according to the electric quantity ratio of the new energy, the power abandonment rate of the new energy and the average electricity price.
The detailed structure of the matching optimization comparison and selection system of the extra-high voltage direct-current matching power supply is shown in fig. 4.
Wherein, the ratio 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 shaving characteristics of a receiving end area;
and the matching scheme unit is used for obtaining a plurality of alternative power supply matching schemes according to the new energy ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current transmission power curve.
Wherein, the 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 curve step according to the annual load characteristic of the receiving area and the typical daily load characteristic in winter and summer;
and the power transmission curve unit subunit is used for carrying out optimization adjustment on the step of the direct current power transmission curve according to the typical daily peak regulation characteristics in winter and summer of the receiving end region to obtain an ultrahigh-voltage direct current power transmission curve.
Wherein, the matching scheme unit includes: the scheme reading subunit, the thermal power capacity subunit and the proportioning scheme subunit;
the scheme reading subunit is used for reading a plurality of new energy installed capacities which meet the new energy ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current transmission power curve from a pre-established alternative scheme library;
the fire capacitance quantum unit is used for calculating the capacity of a matched thermoelectric device according to the installed capacity of each new energy and the number of hours of reasonable utilization of thermal power;
the proportioning scheme subunit is used for respectively forming a plurality of alternative power supply proportioning schemes according to the installed capacity of the new energy and the installed capacity of the matched thermal power;
wherein, new forms of energy power generation characteristic includes: and (4) limiting a new energy power generation theoretical output curve and new energy capacity.
Wherein, index calculation module includes: the power output and electricity abandoning unit and the index calculating unit are arranged;
the output and electricity abandoning unit is used for respectively inputting each proportioning scheme into a pre-established optimization model to obtain the output and the electricity abandoning power of the new energy at each moment in each proportioning scheme;
the index calculation unit is used for respectively calculating the new energy electric quantity ratio, the new energy electricity abandoning rate and the average electricity price of each proportioning scheme according to the new energy output and the new energy electric power abandoning at each moment;
the optimization model is established by taking the minimum support of the electric quantity abandoned by the new energy and the electric quantity obtained from the 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 matching module comprises: a competitiveness scoring unit and an optimal matching unit;
the competitiveness scoring unit is used for respectively calculating the competitiveness score of each matching scheme according to the electric quantity proportion of the new energy, the electricity abandonment rate of the new energy and the average electricity price;
the optimal matching unit is used for taking the matching scheme with the highest score as an optimal comparison result;
as will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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-mentioned embodiments are only used for illustrating the technical solutions of the present application and not for limiting the protection scope thereof, and although the present application is described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that after reading the present application, they can make various changes, modifications or equivalents to the specific embodiments of the application, but these changes, modifications or equivalents are all within the protection scope of the claims of the application pending.

Claims (10)

1. An extra-high voltage direct current matching power supply ratio optimization comparison and selection method is characterized by comprising the following steps:
obtaining a plurality of alternative power supply proportioning schemes according to the new energy ratio requirement, the new energy power generation characteristic, the load of a receiving terminal area and the peak regulation characteristic, wherein each proportioning scheme respectively comprises the installed capacity of the new energy and the installed capacity of matched thermal power;
determining the electric quantity ratio of the new energy, the power abandon rate of the new energy and the average electricity price in each matching scheme;
and determining an optimal proportioning scheme according to the electric quantity ratio of the new energy, the power abandonment rate of the new energy and the average electricity price.
2. The method according to claim 1, wherein the obtaining a plurality of alternative power source proportioning schemes according to the new energy ratio requirement, the new energy power generation characteristic, the receiving end area load and the peak shaving characteristic comprises:
obtaining an extra-high voltage direct current transmission power curve according to the load and peak regulation characteristics of a receiving end area;
and obtaining a plurality of alternative power supply matching schemes according to the new energy ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current transmission power curve.
3. The method according to claim 2, wherein obtaining an extra-high voltage direct current transmission power curve according to receiving end region load and peak shaving characteristics comprises:
determining a direct current transmission power curve step according to the annual load characteristic of a receiving end region and the typical daily load characteristic in winter and summer;
and optimizing and adjusting the steps of the direct current transmission power curve according to typical daily peak regulation characteristics of winter and summer in a receiving end area to obtain an ultrahigh-voltage direct current transmission power curve.
4. The method according to claim 2, wherein the obtaining of a plurality of alternative power supply proportioning schemes according to the new energy ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current transmission power curve comprises:
reading a plurality of new energy installed capacities which meet the new energy ratio requirement, the new energy power generation characteristic and the extra-high voltage direct current power supply power curve from a pre-established alternative solution library;
respectively calculating the installed capacity of the matched thermal power according to the installed capacity of each new energy and the number of hours for reasonably utilizing 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: the theoretical output curve of new energy power generation and the capacity limit of new energy;
preferably, the calculation formula of the matched thermal power installed capacity is as follows:
Figure FDA0002475450070000011
in the formula (I), the compound is shown in the specification,
Figure FDA0002475450070000012
expressing the installed thermal power capacity of the s-th proportioning scheme, E expressing the annual power transmission capacity of the extra-high voltage direct-current transmission channel, and NsNew energy installed capacity, T, representing the s-th proportioning planNRepresents the annual theoretical hours, T, of new energy power generationIRepresenting the reasonable utilization hours of thermal power.
5. The method of claim 1, wherein the determining the new energy charge fraction, the new energy power curtailment rate, and the average electricity price in each of the proportioning schemes comprises:
respectively inputting each proportioning scheme into a pre-established optimization model to obtain the output of new energy and the electric power abandon at each moment in each proportioning scheme;
respectively calculating the electric quantity ratio of the new energy, the electricity abandoning rate of the new energy and the average electricity price of each proportioning scheme according to the output of the new energy and the electric power abandon at each moment;
the optimization model is established by taking the minimum support of the electric quantity abandoned by the new energy and the electric quantity obtained from the system as a target 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:
Figure FDA0002475450070000021
in the formula, RsRepresenting the new energy electric quantity ratio, P, of the s-th proportioning schemes N(t) the new energy output at the moment t of the s-th proportioning scheme is represented, E represents the annual power transmission quantity of the extra-high voltage direct-current power transmission channel, and N represents the total time period;
preferably, the calculation formula of the new energy power abandonment rate is as follows:
Figure FDA0002475450070000022
in the formula, omegasRepresents the new energy power abandon rate of the s-th proportioning scheme, Ps NC(t) represents the new energy abandoned electric power at the moment t of the s-th proportioning scheme, Ps N(t) represents the new energy output of the s-th proportioning scheme at the t moment, and N represents the total time period;
preferably, the average electricity price is calculated as follows:
Figure FDA0002475450070000023
in the formula, CsRepresents the average electricity price, P, of the s-th proportioning schemes N(t) New energy output at time t of the s-th proportioning scheme, Ps I(t) shows the matched thermal power output at the moment of the S proportioning scheme t, Ss(t) represents the support of the quantity of electricity obtained from the transmitting end power system at the time of the s-th proportioning plan t, cNRepresents the price of new energy electricity, cIRepresenting the thermal power price, cSUAnd E represents the annual power transmission amount of the extra-high voltage direct-current transmission channel, and N represents the total time period.
6. The method of claim 5, wherein the objective function is expressed as:
Figure FDA0002475450070000024
wherein f represents an objective function, N represents a total number of time periods, Ps NC(t) represents the electric power of the new energy abandoned at the moment of the S proportioning plan t, Ss(t) represents the support of the amount of power obtained from the transmitting side power system at the time point of the s-th proportioning plan t.
7. The method of claim 5, wherein the power balance constraint is expressed by:
Figure FDA0002475450070000031
in the formula, Ps I(t) represents the matched thermal power output at the moment t of the s proportioning scheme, Ps N(t) represents new energy output at the moment t of the S-th proportioning scheme, Ss(t) represents the support of the quantity of electricity obtained from the transmission side power system at the moment of the s-th proportioning plan t, PT(t) represents the ultra high voltage direct current power transmission at time t;
the thermal power output constraint condition is shown as the following formula:
Figure FDA0002475450070000032
in the formula, PminRepresents the minimum value of the power output of the matched thermal power, PmaxRepresenting the maximum value of the matched thermal power output;
the thermal power climbing constraint condition is as follows:
Figure FDA0002475450070000033
in the formula, Ps I(t-1) represents the matched thermal power output at the t-1 moment of the s proportioning scheme, L+Representing the maximum output power change rate of the matched thermal power generating unit in each period, -L-Representing the maximum output reduction change rate of the matched thermal power generating unit in each time period;
the new energy output constraint condition is shown as the following formula:
Figure FDA0002475450070000034
Figure FDA0002475450070000035
in the formula, NsShows the installed capacity of new energy, k, in the s-th proportioning schemeN(t) representing the theoretical output curve coefficient of the new energy power generation at the time t; the new energy power generation theoretical output curve coefficient kN(t) dividing the theoretical output of new energy power generation at the moment t by the installed capacity to obtain the theoretical output of new energy power generation; ps NCAnd (t) represents the new energy abandoned electric power at the moment t of the s-th proportioning scheme.
8. The method of claim 1, wherein determining an optimal proportioning scheme according to the new energy electric quantity ratio, the new energy electricity abandonment rate and the average electricity price comprises:
respectively calculating the competitiveness scores of all the matching schemes according to the electric quantity proportion of the new energy, the electricity abandonment rate of the new energy and the average electricity price;
taking the proportioning scheme with the highest score as an optimization comparison result;
the optimization model is obtained by taking the minimum support of electric quantity obtained from the electric power system and the electric quantity abandoned by the new energy as targets, and the competitiveness score is calculated by considering the electric quantity ratio of the new energy, the electric energy abandoned rate, the supporting power supply guarantee capacity and the average electricity price; the new energy power generation characteristics include: and (4) limiting a new energy power generation theoretical output curve and new energy capacity.
9. The method of claim 8, wherein the formula for the proportioning scheme competitiveness score is calculated as follows:
Fs＝f1sη1+f2sη2+f3sη3+f4sη4
wherein, FsShows the competitiveness score of the s-th matching scheme, f1sRepresents the new energy power abandonment rate score of the s-th proportioning scheme eta1Denotes f1sWeight of (f)2sIndicates the supporting power supply guarantee capability score, eta of the s-th proportioning scheme2Denotes f2sWeight of (f)3sRepresenting the electric quantity of renewable energy in the s-th proportioning scheme to a score, eta3Denotes f3sWeight of (f)4sRepresents the average electricity price score, η, of the s-th proportioning project4Denotes f4sThe weight of (c);
wherein, the new energy power abandon rate of the s-th proportioning scheme is divided into f1sIs calculated as follows:
f1s＝(Ωmax-Ωs)/Ωmax
in the formula, omegasRepresents the new energy power abandon rate of the s-th proportioning scheme, omegamaxRepresenting the maximum allowable power rejection rate;
supporting power supply guarantee capacity score f of the s-th proportioning scheme2sThe calculation of (a) is as follows:
Figure FDA0002475450070000041
in the formula, Ss(t) represents the support of the quantity of electricity obtained from the transmission side power system at the moment of the s-th proportioning plan t, ESmaxIndicating the maximum allowable amount of power that can be supported from the transmission-side power system, N indicating the total number of time periods;
electric quantity of renewable energy resources of the s-th proportioning scheme is divided into scores f3sIs calculated as follows:
f3s＝Rs/Rmin
in the formula, RsRepresenting the new energy electric quantity ratio, R, of the s-th proportioning schememinRepresenting the lowest renewable energy ratio requirement of an extra-high voltage direct current channel;
average electricity price score f of s-th proportioning scheme4sIs calculated as follows:
f4s＝Cmax-Cs
in the formula, CsRepresents the average electricity price of the s-th proportioning scheme, CmaxThe value of the extra-high voltage direct current line network cost subtracted from the highest landing price which can be borne by the receiving end is shown.
10. The utility model provides an extra-high voltage direct current matching power supply 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 matching scheme module is used for obtaining a plurality of alternative power supply matching schemes according to the new energy ratio requirement, the new energy power generation characteristic, the receiving end area load and the peak regulation characteristic, wherein each matching scheme respectively comprises the new energy installed capacity and the matched thermal power installed capacity;
the index calculation module is used for determining the electric quantity ratio of the new energy, the power abandoning rate of the new energy and the average electricity price in each matching scheme;
and the optimal matching module is used for determining an optimal matching scheme according to the electric quantity ratio of the new energy, the power abandonment rate of the new energy and the average electricity price.
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