CN116667460A - Nuclear light saving multi-power supply joint planning method and system considering nuclear power peak shaving - Google Patents
Nuclear light saving multi-power supply joint planning method and system considering nuclear power peak shaving Download PDFInfo
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Abstract
The invention discloses a nuclear light saving multi-power supply joint planning method and a system for nuclear power peak shaving, which relate to the technical field of power system planning and optimization, and the method comprises the following steps: receiving planning basic data, wherein the planning basic data comprises output data of each power plant and total load data of a power grid; carrying out photovoltaic output simulation according to the output data of each power plant to obtain a photovoltaic theoretical power expected value and the probability that the photovoltaic theoretical power falls into a discretization interval; inputting the total load data of the power grid, the expected value of the photovoltaic theoretical power and the probability that the photovoltaic theoretical power falls into a discretization interval into a pre-established power investment decision-making optimization model to obtain a power supply production scheme; performing peak shaving capacity verification on a power supply production scheme by adopting an operation simulation technology, wherein the peak shaving capacity verification process needs to consider nuclear power to participate in peak shaving; and continuously correcting the power supply production scheme until a power supply planning result meeting the set requirement is generated.
Description
Technical Field
The invention relates to the technical field of planning and optimization of power systems, in particular to a nuclear light saving multi-power supply combined planning method and system considering nuclear power peak shaving.
Background
The power supply planning is to determine the installed capacity of the newly-increased power supply and the production time thereof on the premise of meeting a series of investment and operation constraints. The new energy source is steadily developed, however, the new energy source has poor regulation performance, and the output has volatility, randomness and possible anti-peak regulation characteristic. The large-scale new energy grid connection increases the peak-valley difference of the equivalent load of the system, increases the peak regulation pressure of the power system, forces the conventional power supply to frequently regulate the output and even start up and stop to cope with the peak regulation and climbing demands of the system, influences the economic life of the flexible unit, and simultaneously brings a series of new challenges for power balance regulation and safe operation of the power grid. Meanwhile, the nuclear power running by the basis load severely extrudes the power generation space of other power supplies, and further aggravates the peak shaving pressure of the system. How to explore the influence of the operation characteristics of the new energy on the grid-connected digestion from the planning level, and optimally configure the installed proportion of the new energy power supply to the nuclear power and other power supplies, and the method is still in need of further study.
At present, domestic and foreign researches prove that the nuclear power unit has good peak shaving capability and can participate in power grid peak shaving together with other flexible power supplies. However, nuclear power in China still operates with basic load at present, and the problem of joint planning of the nuclear power and other power supplies is hardly considered, so that the peak shaving potential of the nuclear power cannot be fully exerted.
Disclosure of Invention
In order to solve the defects in the background art, the invention aims to provide a nuclear light saving multi-power supply combined planning method and system considering nuclear power peak shaving.
The aim of the invention can be achieved by the following technical scheme: a nuclear light saving multi-power supply joint planning method considering nuclear power peak shaving comprises the following steps:
receiving planning basic data, wherein the planning basic data comprises output data of each power plant and total load data of a power grid;
carrying out photovoltaic output simulation according to the output data of the photovoltaic power station in the output data of each power plant to obtain a photovoltaic theoretical power expected value and the probability that the photovoltaic theoretical power falls into a discretization interval;
inputting the total load data of the power grid, the expected value of the photovoltaic theoretical power and the probability that the photovoltaic theoretical power falls into a discretization interval into a pre-established power investment decision-making optimization model to obtain a power supply production scheme;
performing peak shaving capacity verification on a power supply production scheme by adopting an operation simulation technology, wherein the peak shaving capacity verification process needs to consider nuclear power to participate in peak shaving;
and continuously correcting the power supply production scheme until a power supply planning result meeting the set requirement is generated.
Preferably, the process of performing the photovoltaic output simulation according to the photovoltaic power station output data in the output data of each power station is as follows:
and setting a discretization common factor C, partitioning the photovoltaic theoretical power in the variation range of the discretization common factor C to obtain discretization intervals, respectively counting the occurrence frequency of the photovoltaic theoretical power in each discretization interval, taking the frequency as the probability that the photovoltaic theoretical power falls into the discretization interval, and calculating all expected values of the photovoltaic theoretical power falling into each interval.
Preferably, the power sources in the power grid total load data comprise a thermal power plant, a nuclear power plant, a photovoltaic power station, an energy storage power station and a pumped storage power station.
Preferably, 1 is used 2*N w Matrix G of w come from Characterization of the photovoltaic theoretical Power P w Distribution of discrete probabilities over a study period, G w The 1 st behavior power value state value, the probability corresponding to the 2 nd behavior power value, the discrete probability distribution matrix G w Expressed as:
wherein N is w A state number that is a discrete probability distribution; g w (1, i) is the power value (state value) of the ith discrete probability distribution state; g w (2, i) is the probability corresponding to the ith discrete probability distribution power value.
Preferably, the state number of the discrete probability distribution is obtained by rounding down the ratio of the maximum value of the photovoltaic theoretical power to the discretization common factor in the research period to obtain a rounded value, and adding one to the rounded value.
Preferably, the photovoltaic theoretical power is obtained by counting the photovoltaic theoretical power generation power for 1 year by hour, and setting P w (t) is the theoretical power of the photovoltaic for t hours;
and a discrete probability distribution matrix G w In the inner part
Wherein f i (x) As an indication function, and when x=i, f i (x) When x+.i, =1, f i (x)＝0。
Preferably, the objective function of the minimum total cost of the planning scheme in the power supply production scheme is as follows:
wherein C is 1 Is the total cost of the planning scheme;the total investment construction cost of various power supply plant stations is calculated in the mth planning month; />The total operation maintenance cost of various power supply plant stations is calculated in the mth planning month; m is the total month number of the planning period;
constraint conditions in the power supply production scheme comprise power balance constraint, electric quantity balance constraint, negative standby constraint and climbing capacity constraint, wherein the climbing capacity constraint comprises overall constraint of upward climbing capacity and overall constraint of downward climbing capacity.
Preferably, the step of verifying the peak shaving capability includes:
selecting a plurality of representative daily working conditions and extreme working conditions, comprehensively checking a power supply production scheme, and screening important working conditions including:
normal operation condition of power grid in four seasons
Spring load low valley and photovoltaic large-power running working condition
Summer load peak, light Fu Xiaofa operating condition
Autumn load low valley and photovoltaic large-power running condition
Winter load peak, light Fu Xiaofa operating condition
Comprehensively considering the operation characteristics of thermal power, nuclear power, photovoltaic, energy storage and pumping storage, and checking whether peak regulation capability deficiency occurs under each working condition when multiple power supplies are operated in a combined mode.
Preferably, according to the peak shaving capacity verification, if the phenomenon of the peak shaving capacity deficiency appears under each working condition, the maximum peak shaving capacity of the week is fed back to the power investment decision-making optimizing model, the power investment decision-making optimizing model gradually improves the negative standby demand coefficient, the production capacity of the schedulable unit is increased, the power production scheme is revised again, and if the phenomenon of the peak shaving capacity deficiency does not appear under each working condition, the peak shaving capacity of the power production scheme passes the verification.
In order to achieve the above object, the present invention discloses a nuclear light saving multi-power supply joint planning system taking nuclear power peak shaving into account, comprising:
and a data receiving module: the power grid power generation system comprises a power grid, a power grid management system and a power grid management system, wherein the power grid management system is used for receiving planning basic data, and the planning basic data comprise output data of each power plant and total load data of the power grid;
photovoltaic simulation module: the method comprises the steps of performing photovoltaic output simulation according to output data of each power plant to obtain photovoltaic theoretical power and probability of the photovoltaic theoretical power falling into a discretization interval;
the power supply production optimizing module: the power supply investment decision optimization method comprises the steps of inputting power grid total load data, photovoltaic theoretical power and probability of the photovoltaic theoretical power falling into a discretization interval into a pre-established power supply investment decision optimization model to obtain a power supply production scheme;
peak regulation capability checking module: the power supply operation system is used for carrying out peak shaving capacity verification on a power supply operation scheme by adopting an operation simulation technology, wherein nuclear power participation peak shaving is considered in the peak shaving capacity verification process;
and a result generation module: the power supply planning method is used for continuously correcting the power supply production scheme until a power supply planning result meeting the set requirements is generated.
The invention has the beneficial effects that:
compared with the conventional power supply planning project thought taking years as a unit, the invention provides a power supply investment decision thought taking months as an investment time unit for the large background of large-scale new energy access, and considers seasonal fluctuation characteristics of the new energy in the planning and design stage. In addition, the planning method provided by the invention considers the peak regulation capacity of nuclear power, fully plays the peak regulation potential of the power grid by jointly planning the nuclear power and various power supplies, coordinates the power investment decision and the peak regulation capacity verification, is beneficial to improving the new energy consumption capacity from the power supply structure optimization perspective, and has the economical efficiency, environmental protection and reliability, and can provide theoretical basis and technical support for the combined planning application engineering of the nuclear power, the optical power, the storage power and the storage power.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to those skilled in the art that other drawings can be obtained according to these drawings without inventive effort;
FIG. 1 is a schematic flow chart of the method of the present invention;
fig. 2 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a nuclear light saving multi-power supply joint planning method considering nuclear power peak shaving comprises the following steps:
receiving planning basic data, wherein the planning basic data comprises output data of each power plant and total load data of a power grid;
carrying out photovoltaic output simulation according to the output data of the photovoltaic power station in the output data of each power plant to obtain a photovoltaic theoretical power expected value and the probability that the photovoltaic theoretical power falls into a discretization interval;
in this embodiment, the process of performing the photovoltaic output simulation according to the photovoltaic power station output data in the output data of each power station is as follows: and setting a discretization common factor C, partitioning the photovoltaic theoretical power in the variation range of the discretization common factor C to obtain discretization intervals, respectively counting the occurrence frequency of the photovoltaic theoretical power in each discretization interval, taking the frequency as the probability that the photovoltaic theoretical power falls into the discretization interval, and calculating all expected values of the photovoltaic theoretical power falling into each interval.
It should be further noted that 1 (2*N w ) Matrix G of w Characterization of the photovoltaic theoretical Power P w Discrete probability distribution over the study period, G w The 1 st behavior power value (state value), the probability corresponding to the 2 nd behavior power value, the discrete probability distribution matrix G w Can be expressed as:
wherein N is w The state number of the discrete probability distribution is as follows:
wherein P is w,max To study the maximum value of photovoltaic theoretical power in a period;representation pair P w,max The value of/C is rounded down.
In the embodiment of the invention, taking statistics of the photovoltaic theoretical power generation power of 1 year per hour as an example, P is set w (t) the theoretical power of the photovoltaic at t hours, G w The elements in (a) can be calculated by the following formula:
wherein f i (x) As an indication function, it is defined as:
8760 data of the photovoltaic output for 1 year can be converted into N-containing data according to the formula w The individual power values (state values) and the corresponding probability discrete probability distribution.
Inputting the total load data of the power grid, the expected value of the photovoltaic theoretical power and the probability that the photovoltaic theoretical power falls into a discretization interval into a pre-established power investment decision-making optimization model to obtain a power supply production scheme;
the method is characterized in that the total load data of the power grid comprises a thermal power plant, a nuclear power plant, a photovoltaic power station, an energy storage power station and a pumped storage power station, and an objective function with the minimum total cost of a planning scheme is constructed:
wherein, C is the total cost of the planning scheme;the total investment construction cost of various power supply plant stations is calculated in the mth planning month; />The total operation maintenance cost of various power supply plant stations is calculated in the mth planning month; m is the total month number of the planning period.
Constraint conditions in the power supply production scheme comprise power balance constraint, electric quantity balance constraint, negative standby constraint and climbing capacity constraint, wherein the specific constraint is expressed as follows:
(1) power balance constraint
Wherein m and i are month number and power plant type respectively; theta (theta) EP ,Θ CP Respectively representing all the power plant sets to be selected and all the existing power plant sets; x is X im Representing the sum of the number of on-board units of the power plant i in the mth month; w (W) im The single-machine capacity or the expected capacity of the power plant station i in the mth month is represented, and the value of the single-machine capacity or the expected capacity of the power plant station i is the rated capacity of a thermal power plant and a nuclear power plant; for a photovoltaic power plant, taking the confidence capacity of the month; for the energy storage device and the pumped storage power station, the rated power is taken. D (D) m,max Maximum load for month m after considering tie line power;indicating the capacity reserve factor for that month.
(2) Electric quantity balance constraint
In the formula Θ T 、Θ N 、Θ S 、Θ H And theta (theta) P Respectively representing a thermal power plant, a nuclear power plant, a photovoltaic power station, a pumped storage power station and an energy storage power station set; p (P) T,im And P N,im The average output force of each month of the thermal power plant and the nuclear power plant is respectively; h m For the number of hours per month; e (E) S,im The electricity consumption is carried out for the photovoltaic power station in a month;the power generation amount and the storage amount are respectively scheduled for each month of the pumped storage power station, and the power loss is obvious; e (E) m To account for monthly power demand after exchanging power with the outer zone; />Indicating the monthly power reserve factor.
(3) Negative standby constraint
In the method, in the process of the invention,the system represents that the power plant unit provides a negative reserve capacity coefficient, obviously, the pumped storage unit provides a negative reserve capacity better than that of a conventional thermal power unit, and the energy storage power station has two running states of power generation and power storage, so that the energy storage power station provides rated capacity with the negative reserve capacity approximately 2 times; r is R m And the standby demand coefficient is negative for the month.
(4) Climbing capacity constraint
Overall constraint of the climbing ability:
overall constraint of downhill climbing capability:
in the method, in the process of the invention,and->The upward/downward climbing rates of a thermal power plant, a nuclear power plant, a pumped storage power station and an energy storage power station are respectively; delta M is the interval time, and is generally 5-15 min;and->Load corresponding to the constraint of the ascending/descending climbing capability and the output prediction error coefficient of the photovoltaic power station are respectively adopted; ΔD of m Maximum peak-to-valley difference for the month load; ΔP S,im And the maximum output variation difference value of the photovoltaic power station is obtained.
Performing peak shaving capacity verification on a power supply production scheme by adopting an operation simulation technology, wherein the peak shaving capacity verification process needs to consider nuclear power to participate in peak shaving;
it should be further noted that, in the implementation process, the process of verifying the peak shaving capability includes: selecting a plurality of representative daily working conditions and extreme working conditions, comprehensively checking the existing power supply production scheme, and screening important working conditions including:
(1) normal operation condition of power grid in four seasons
(2) Spring load low valley and photovoltaic large-power running working condition
(3) Summer load peak, light Fu Xiaofa operating condition
(4) Autumn load low valley and photovoltaic large-power running condition
(5) Winter load peak, light Fu Xiaofa operating condition
Comprehensively considering the operation characteristics of thermal power, nuclear power, photovoltaic, energy storage and pumping storage, and checking whether peak regulation capability deficiency occurs under each working condition when multiple power supplies are operated in a combined mode.
And continuously correcting the power supply production scheme until a power supply planning result meeting the set requirement is generated.
In the embodiment of the invention, the principle of multi-power combined operation aims at minimizing the sum of unit operation cost and light rejection penalty term, and the conditions of electric power and electric quantity balance constraint, unit operation constraint, standby constraint and the like are considered. And after the hourly starting mode of each unit is obtained, simultaneously counting operation economical indexes. If the peak regulation problem exists under any working condition, the maximum peak regulation shortage of the week is fed back to the power investment decision-making module, the negative standby demand coefficient is gradually improved, the production capacity of the schedulable unit is increased, and the power supply production scheme is revised again. If the peak regulation problem does not exist, the peak regulation capacity of the power supply operation scheme is verified.
In addition, referring to fig. 2, the embodiment of the invention also discloses a nuclear light saving multi-power supply combined planning system considering nuclear power peak shaving, which comprises:
and a data receiving module: the power grid power generation system comprises a power grid, a power grid management system and a power grid management system, wherein the power grid management system is used for receiving planning basic data, and the planning basic data comprise output data of each power plant and total load data of the power grid;
photovoltaic simulation module: carrying out photovoltaic output simulation according to the output data of the photovoltaic power station in the output data of each power plant to obtain the photovoltaic theoretical power and the probability that the photovoltaic theoretical power falls into a discretization interval;
the power supply production optimizing module: the power supply investment decision optimization method comprises the steps of inputting power grid total load data, photovoltaic theoretical power and probability of the photovoltaic theoretical power falling into a discretization interval into a pre-established power supply investment decision optimization model to obtain a power supply production scheme;
peak regulation capability checking module: the power supply operation system is used for carrying out peak shaving capacity verification on a power supply operation scheme by adopting an operation simulation technology, wherein nuclear power participation peak shaving is considered in the peak shaving capacity verification process;
and a result generation module: the power supply planning method is used for continuously correcting the power supply production scheme until a power supply planning result meeting the set requirements is generated.
Optionally, the photovoltaic simulation module further includes a data receiving unit and a simulation calculation unit, the data receiving unit is used for receiving output data of each power plant, and the simulation calculation unit is used for performing photovoltaic output simulation calculation on the simulated output data of each power plant, so that the photovoltaic theoretical power and the probability that the photovoltaic theoretical power falls into a discretization interval can be obtained.
Optionally, the power supply operation optimization module according to the embodiment of the present invention further includes a data receiving unit, a model calculation unit and a scheme generation unit, where the data receiving unit is configured to receive power grid total load data, photovoltaic theoretical power and photovoltaic theoretical power, the model calculation unit is configured to input the received power grid total load data, the photovoltaic theoretical power and the photovoltaic theoretical power into a power supply investment decision optimization model established in advance to perform calculation, and the scheme generation unit is configured to generate and obtain a power supply operation scheme.
Based on the same inventive concept, the present invention also provides a computer apparatus comprising: one or more processors, and memory for storing one or more computer programs; the program includes program instructions and the processor is configured to execute the program instructions stored in the memory. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application SpecificIntegrated Circuit, ASIC), field-Programmable gate arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computational core and control core of the terminal for implementing one or more instructions, in particular for loading and executing one or more instructions within a computer storage medium to implement the methods described above.
It should be further noted that, based on the same inventive concept, the present invention also provides a computer storage medium having a computer program stored thereon, which when executed by a processor performs the above method. The storage media may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electrical, magnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing has shown and described the basic principles, principal features, and advantages of the present disclosure. It will be understood by those skilled in the art that the present disclosure is not limited to the embodiments described above, which have been described in the foregoing and description merely illustrates the principles of the disclosure, and that various changes and modifications may be made therein without departing from the spirit and scope of the disclosure, which is defined in the appended claims.
Claims (10)
1. The nuclear light saving multi-power supply joint planning method considering nuclear power peak shaving is characterized by comprising the following steps of:
receiving planning basic data, wherein the planning basic data comprises output data of each power plant and total load data of a power grid;
carrying out photovoltaic output simulation according to the output data of the photovoltaic power station in the output data of each power plant to obtain a photovoltaic theoretical power expected value and the probability that the photovoltaic theoretical power falls into a discretization interval;
inputting the total load data of the power grid, the expected value of the photovoltaic theoretical power and the probability that the photovoltaic theoretical power falls into a discretization interval into a pre-established power investment decision-making optimization model to obtain a power supply production scheme;
performing peak shaving capacity verification on a power supply production scheme by adopting an operation simulation technology, wherein the peak shaving capacity verification process needs to consider nuclear power to participate in peak shaving;
and continuously correcting the power supply production scheme until a power supply planning result meeting the set requirement is generated.
2. The nuclear light savings multi-power supply joint planning method considering nuclear power peak shaving according to claim 1, wherein the process of performing photovoltaic output simulation according to the photovoltaic power station output data in the output data of each power plant is as follows:
and setting a discretization common factor C, partitioning the photovoltaic theoretical power in the variation range of the discretization common factor C to obtain discretization intervals, respectively counting the occurrence frequency of the photovoltaic theoretical power in each discretization interval, taking the frequency as the probability that the photovoltaic theoretical power falls into the discretization interval, and calculating all expected values of the photovoltaic theoretical power falling into each interval.
3. The nuclear light savings multi-power supply joint planning method taking account of nuclear power peak shaving as claimed in claim 1, wherein the power supplies in the total load data of the power grid comprise a thermal power plant, a nuclear power plant, a photovoltaic power station, an energy storage power station and a pumped storage power station.
4. The nuclear light savings multi-power supply joint planning method taking nuclear power peak shaving into account as claimed in claim 2, wherein 1 piece 2*N is used w Matrix G of w Characterization of the photovoltaic theoretical Power P w Distribution of discrete probabilities over a study period, G w The 1 st behavior power value state value, the probability corresponding to the 2 nd behavior power value, the discrete probability distribution matrix G w Expressed as:
wherein N is w A state number that is a discrete probability distribution; g w (1, i) power values for the ith discrete probability distribution state; g w (2, i) is the probability corresponding to the ith discrete probability distribution power value.
5. The nuclear light saving multi-power supply joint planning method for nuclear power peak shaving according to claim 4, wherein the state number of the discrete probability distribution is obtained by rounding down the ratio of the maximum value of the photovoltaic theoretical power to the discretization common factor in the research period to obtain a rounded value and adding one to the rounded value.
6. A according to claim 5The nuclear light storage multi-power supply combined planning method based on nuclear power peak shaving is characterized in that the photovoltaic theoretical power is obtained by counting the photovoltaic theoretical power generation power for 1 year from hour to hour, and P is set w (t) is the theoretical power of the photovoltaic for t hours;
and a discrete probability distribution matrix G w In the inner part
Wherein f i (x) As an indication function, and when x=i, f i (x) When x+.i, =1, f i (x)＝0。
7. The nuclear light savings multi-power supply joint planning method considering nuclear power peak shaving according to claim 1, wherein the objective function with the minimum total cost of the planning scheme in the power supply production scheme is as follows:
wherein C is 1 Is the total cost of the planning scheme;the total investment construction cost of various power supply plant stations is calculated in the mth planning month;the total operation maintenance cost of various power supply plant stations is calculated in the mth planning month; m is the total month number of the planning period;
constraint conditions in the power supply production scheme comprise power balance constraint, electric quantity balance constraint, negative standby constraint and climbing capacity constraint, wherein the climbing capacity constraint comprises overall constraint of upward climbing capacity and overall constraint of downward climbing capacity.
8. The nuclear light savings multi-power supply joint planning method for nuclear power peak shaving according to claim 1, wherein the peak shaving capability verification step comprises:
selecting a plurality of representative daily working conditions and extreme working conditions, comprehensively checking a power supply production scheme, and screening important working conditions including:
normal operation condition of power grid in four seasons
Spring load low valley and photovoltaic large-power running working condition
Summer load peak, light Fu Xiaofa operating condition
Autumn load low valley and photovoltaic large-power running condition
Winter load peak, light Fu Xiaofa operating condition
Comprehensively considering the operation characteristics of thermal power, nuclear power, photovoltaic, energy storage and pumping storage, and checking whether peak regulation capability deficiency occurs under each working condition when multiple power supplies are operated in a combined mode.
9. The nuclear light saving multi-power supply joint planning method considering nuclear power peak shaving according to claim 8, wherein according to peak shaving capacity verification, if the phenomenon of peak shaving capacity deficiency appears under each working condition, the maximum peak shaving deficiency is fed back to a power investment decision optimization model, the power investment decision optimization model gradually increases a negative standby demand coefficient, the production capacity of a schedulable unit is increased, the power production scheme is revised again, and if the phenomenon of peak shaving capacity deficiency does not appear under each working condition, the peak shaving capacity of the power production scheme passes the verification.
10. The utility model provides a nuclear light savings multi-power joint planning system that takes into account nuclear power peak shaving which characterized in that includes:
and a data receiving module: the power grid power generation system comprises a power grid, a power grid management system and a power grid management system, wherein the power grid management system is used for receiving planning basic data, and the planning basic data comprise output data of each power plant and total load data of the power grid;
photovoltaic simulation module: the method comprises the steps of obtaining photovoltaic theoretical power and probability of the photovoltaic theoretical power falling into a discretization interval according to the output data of the photovoltaic power station in the output data of each power station;
the power supply production optimizing module: the power supply investment decision optimization method comprises the steps of inputting power grid total load data, photovoltaic theoretical power and probability of the photovoltaic theoretical power falling into a discretization interval into a pre-established power supply investment decision optimization model to obtain a power supply production scheme;
peak regulation capability checking module: the power supply operation system is used for carrying out peak shaving capacity verification on a power supply operation scheme by adopting an operation simulation technology, wherein nuclear power participation peak shaving is considered in the peak shaving capacity verification process;
and a result generation module: the power supply planning method is used for continuously correcting the power supply production scheme until a power supply planning result meeting the set requirements is generated.
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