Hydroelectric generating set output control method and system for maximizing wind-solar priority matching quantity and minimizing agency electricity purchase price fluctuation, and medium

Abstract

The invention discloses a hydroelectric generating set output control method and system for maximizing the wind-solar priority matching quantity and minimizing the agency electricity purchase price fluctuation and a medium. The method comprises the following steps: firstly, calculating the minimum and maximum generated power of a hydroelectric generating set in a decision period; the maximum value of the transaction power and the minimum generation power of the hydroelectric generating set is selected as the output value of the hydroelectric generating set in the first round of iteration from the transaction electric quantity and the transaction power of the proxy electricity purchase year-month transaction decomposition to the decision period; respectively establishing a wind-light priority matching quantity calculation model and an agent electricity purchasing price calculation model to calculate a wind-light priority matching quantity and an agent electricity purchasing price; calculating an electric power system economic and technical comprehensive evaluation index corresponding to the output value of the hydroelectric generating set; and iteratively calculating evaluation indexes corresponding to a series of hydroelectric generating set output values, screening an optimal evaluation index, and controlling the gate opening of the reservoir based on the corresponding hydroelectric generating set output and the storage and discharge flow of the reservoir. The method can effectively increase the wind and light priority matching amount, and reduces the price fluctuation of agent electricity purchase.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower unit output control, and in particular to a method, system and medium for controlling a hydropower unit output that maximizes wind-solar priority matching and minimizes fluctuations in proxy power purchase prices. Background Art

[0002] As a transitional policy to guide industrial and commercial users into the market, agency power purchasing effectively solves the problem that small and medium-sized industrial and commercial users are unable to participate in electricity market transactions, and is of great significance for achieving full marketization.

[0003] However, in the actual implementation process, the output of wind and solar power generators is random, resulting in a strong volatility in the proxy power purchase price. At the same time, when wind and solar power generators are in high demand, the remaining priority power generation after the matching of preferred power generation with preferred power purchase and proxy power purchase will enter the market. A large number of priority power generators entering the market will generate a large amount of smoothing funds, which will affect the fairness of the market and increase market risks. As a priority power generator, hydropower generators can also effectively increase the priority matching amount of wind and solar power and reduce the volatility of proxy power purchase prices by reasonably controlling the output of hydropower generators.

[0004] Therefore, it is urgent to optimize the output control of hydropower units and improve the negative impact of wind and solar power generation and proxy power purchase on the premise of ensuring the balance of electricity supply and demand. Summary of the invention

[0005] The present invention provides a hydropower unit output control method, system and medium for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price, which is used to solve the problem of the fluctuation of the proxy power purchase price caused by the randomness of the wind-solar power generation unit output and the problem of the surplus priority power generation entering the market to generate a large amount of balancing funds.

[0006] In the first aspect, a method for controlling the output of a hydropower unit for maximizing the priority matching amount of wind and solar power and minimizing the fluctuation of the proxy power purchase price is provided, comprising the following steps:

[0007] S1: Obtain the reservoir water level of the hydropower station, the downstream water level of the river and the natural flow of the river, establish a hydropower unit power generation calculation model, and calculate the minimum power generation of the hydropower unit in the decision period t and maximum power generation

[0008] S2: Obtain the amount of electricity Q decomposed from the annual and monthly power purchase transactions of the power trading platform to the decision period t ym,t And the corresponding power P ym,t , compared with the minimum power generation of the hydropower unit in the decision period t The power P corresponding to the power consumption in the decision period t is decomposed into the annual and monthly transaction of the power purchase agent ym,t, take the maximum value of the two as the output value P of the hydropower unit in the decision period t in the first round of iteration t,0 ;

[0009] S3: Collect the power consumption of the proxy power purchasing users and the power generation of the wind and solar power generators in the decision period t, establish a wind and solar priority matching quantity calculation model, and calculate the wind and solar priority matching quantity Q corresponding to the output of the hydropower unit in the decision period t in the current iteration round ws,t ;

[0010] S4: Based on the clearing price of the proxy power purchase transaction in the year and month and the on-grid electricity price of the hydropower unit and the wind and solar power unit, a proxy power purchase price calculation model is established to calculate the proxy power purchase price Pr corresponding to the output of the hydropower unit in the decision period t in the current iteration round. ag,t ;

[0011] S5: According to the wind-solar priority matching amount calculated in step S3 and the proxy power purchase price calculated in step S4, the proxy power purchase price volatility (economic indicator) and the wind-solar priority matching rate (technical indicator) are calculated respectively, and then based on the two, the comprehensive economic and technical evaluation index of the power system corresponding to the output of the hydropower unit in the decision period t in the current iteration round is calculated;

[0012] S6: According to the set iteration step ΔP, increase the output value of the hydropower unit in the decision period t in turn, iterate the calculation steps S3-S5, and record the comprehensive economic and technical evaluation index of the power system corresponding to each hydropower unit output value. When the output value of the hydropower unit is greater than the maximum power generation power of the hydropower unit When , the iterative calculation is stopped, and the optimal comprehensive economic and technical evaluation index of the power system is screened out. Based on the corresponding hydropower unit output and the storage and discharge flow of the hydropower station reservoir, the gate opening of the reservoir is controlled.

[0013] Furthermore, the calculation model of the hydroelectric generating power in step S1 is specifically expressed as:

[0014] P h,t =K(F nature,t +F stor,t )(H stor,t -H down,t )

[0015] Where P h,t is the power generation of the hydropower unit in the decision period t; K is the comprehensive efficiency coefficient of the hydropower unit; F nature,t is the natural flow of the river during the decision period t; F stor,t is the reservoir storage and discharge flow in decision period t; H stor,t is the reservoir water level in decision period t; H down,t is the downstream water level of the river at decision time period t.

[0016] Furthermore, the minimum power generation capacity of the hydropower unit in the decision period t is is the power generation when the reservoir storage and discharge flow is zero, and the calculation formula is as follows:

[0017]

[0018] Maximum power generation of hydropower units in decision period t is the power when the reservoir storage and discharge flow is the largest, and the calculation formula is as follows:

[0019]

[0020] In the formula, is the maximum storage and discharge flow of the reservoir in decision period t; f(H stor,t ) is the reservoir water level H at decision time t stor,t Corresponding reservoir capacity; f(H stag ) is the dead water level of the reservoir H stag The corresponding reservoir capacity; T is the scheduling time interval.

[0021] Furthermore, the wind-solar priority matching quantity calculation model in step S3 is specifically expressed as:

[0022] When the sum of the output of the hydropower unit and the wind and solar power unit is less than the power consumption of the proxy power purchaser, the wind and solar priority matching quantity Q ws,t is the output of the wind and solar power generator set in the decision period t, and the calculation formula is expressed as:

[0023] Q ws,t =(P w,t +P s,t )T

[0024] Where P w,t is the power generation of the wind turbine in the decision period t; P s,t is the power generation of the photovoltaic generator set in the decision period t;

[0025] When the sum of the output of the hydropower unit and the wind and solar power unit is not less than the power consumption of the proxy power purchaser, the wind and solar priority matching quantity Q ws,t The difference between the output of the hydropower unit and the power consumption of the power purchasing agent is expressed as follows:

[0026] Q ws,t =(P ag,t -P t,0 )T

[0027] Where P ag,t is the power consumption of the proxy electricity purchasing user in the decision period t.

[0028] Furthermore, the proxy power purchase price calculation model in step S4 is specifically expressed as:

[0029] When the sum of the output of the hydropower unit and the wind and solar power unit is less than the power consumption of the power purchasing agent, the calculation formula is expressed as:

[0030]

[0031] When the sum of the output of the hydropower unit and the wind and solar power unit is not less than the power consumption of the power purchasing agent, the calculation formula is expressed as:

[0032]

[0033] In the formula, Pr ym Pr is the clearing electricity price for the power purchasing agent to participate in the power purchasing agent transaction in the year and month; ws is the on-grid electricity price of wind and solar power generators; Q t,0 is the power generation of the hydropower unit in the decision period t; Pr h is the on-grid electricity price of the hydropower generating unit; Q mar For power purchasers to participate in spot market trading of electricity; Pr mar is the average transaction price of users in the spot market; Q ag,t is the electricity consumption of the proxy electricity purchasing user in the decision period t.

[0034] Furthermore, the calculation formula of the volatility rate of the proxy power purchase price in step S5 is expressed as:

[0035]

[0036] In the formula, B ag,t Pr is the volatility of the proxy power purchase price in decision period t; b It is the average price of electricity purchased by the proxy during the same period of history;

[0037] The calculation formula of the wind-solar priority matching rate in step S5 is expressed as:

[0038]

[0039] Where, X ws,t is the wind-solar matching rate in decision period t; P w,t is the power generation of the wind turbine in the decision period t; P s,t is the power generation of the photovoltaic generator set in the decision period t; Q ws,t is the wind-solar priority matching amount in decision period t.

[0040] Furthermore, the calculation formula of the comprehensive economic and technical evaluation index of the power system in step S5 is expressed as:

[0041] N t,k =α(1-X ws,t )+βBag,t

[0042] Where N t,k is the comprehensive economic and technical evaluation index of the power system corresponding to the output of the hydropower unit in the decision period t in the k-1th iteration; α is the weight coefficient of the priority matching rate in the comprehensive evaluation index; β is the weight coefficient of the volatility of the proxy power purchase price in the comprehensive evaluation index.

[0043] Secondly, a hydropower unit output control system is provided to maximize the wind-solar priority matching amount and minimize the fluctuation of the proxy power purchase price, including a data acquisition module and a control module;

[0044] The data acquisition module is used to transmit the collected data to the control module, wherein the collected data includes: the water level of the hydropower station reservoir, the water level of the downstream river and the natural flow of the river, as well as the annual and monthly transaction data of the proxy power purchase, the power consumption of the proxy power purchase user in the decision period t and the power generation power of the wind and solar power generator set;

[0045] The control module is used to receive the data collected by the data collection module and is configured to execute the hydropower unit output control method as described above for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price.

[0046] Furthermore, the control module comprises:

[0047] The power calculation unit of the hydropower station is used to obtain the water level of the hydropower station reservoir, the water level of the downstream river and the natural flow of the river, establish the calculation model of the power generation of the hydropower unit, and calculate the minimum power generation of the hydropower unit in the decision period t and maximum power generation

[0048] The initial hydropower unit output value decision unit is used to obtain the power Q of the proxy power purchase year and month transaction decomposed into the decision period t from the power trading platform ym,t And the corresponding power P ym,t , compared with the minimum power generation of the hydropower unit in the decision period t The power P corresponding to the power consumption in the decision period t is decomposed into the annual and monthly transaction of the power purchase agent ym,t , take the maximum value of the two as the output value P of the hydropower unit in the decision period t in the first round of iteration t,0 ;

[0049] The wind-solar priority matching quantity calculation unit is used to collect the power consumption of the proxy power purchasing user and the power generation power of the wind-solar generator set in the decision period t, establish a wind-solar priority matching quantity calculation model, and calculate the wind-solar priority matching quantity Q corresponding to the output of the hydropower unit in the decision period t in the current iteration round ws,t ;

[0050] The proxy power purchase price calculation unit is used to establish a proxy power purchase price calculation model based on the clearing price of proxy power purchase transactions in the year and month and the on-grid electricity price of hydropower units and wind and solar power units, and calculate the proxy power purchase price Pr corresponding to the output of the hydropower unit in the decision period t in the current iteration round. ag,t ;

[0051] The economic and technical comprehensive evaluation index calculation unit is used to calculate the proxy power purchase price volatility and the wind and solar priority matching rate according to the calculated wind and solar priority matching amount and the proxy power purchase price, and then calculate the power system economic and technical comprehensive evaluation index corresponding to the hydropower unit output in the decision period t in the current iteration round based on the two;

[0052] The control unit is used to increase the output value of the hydropower unit in the decision period t in sequence according to the set iteration step ΔP, return the wind-solar priority matching quantity calculation unit, the proxy power purchase price calculation unit, and the economic and technical comprehensive evaluation index calculation unit to calculate in sequence, and record the economic and technical comprehensive evaluation index of the power system corresponding to each hydropower unit output value. When the output value of the hydropower unit is greater than the maximum power generation power of the hydropower unit When , the iterative calculation is stopped, and the optimal comprehensive economic and technical evaluation index of the power system is screened out. Based on the corresponding hydropower unit output and the storage and discharge flow of the hydropower station reservoir, the gate opening of the reservoir is controlled.

[0053] In a third aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price as described above is implemented.

[0054] The present invention proposes a hydropower unit output control method, system and medium that maximizes the wind-solar priority matching amount and minimizes the fluctuation of the proxy power purchase price. First, the wind-solar priority matching amount and the proxy power purchase price under a series of hydropower unit outputs are calculated by establishing a wind-solar priority matching amount calculation model and a proxy power purchase price calculation model, and then a series of power system economic and technical comprehensive evaluation indicators under the output of the hydropower unit are calculated, and the hydropower unit output and the storage and discharge flow of the hydropower station reservoir corresponding to the optimal power system economic and technical comprehensive evaluation indicator are selected to control the gate opening of the reservoir. The present invention has the characteristics of easy operation, and effectively controls the output of the hydropower unit, effectively increases the wind-solar priority matching amount, and reduces the fluctuation of the proxy power purchase price, thereby realizing the control of the hydropower unit output that maximizes the wind-solar priority matching amount and minimizes the fluctuation of the proxy power purchase price, and improves the negative impact of wind-solar power generation and proxy power purchase matching under the premise of ensuring the balance of power supply and demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 It is a schematic diagram of the output control principle of a hydropower unit provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0057] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0058] The present invention provides a method for controlling the output of a hydropower unit by maximizing the priority matching amount of wind and solar power and minimizing the fluctuation of the proxy power purchase price. The principle is as follows: Figure 1 As shown, the following steps are included:

[0059] S1: Obtain the reservoir water level of the hydropower station, the downstream water level of the river and the natural flow of the river, establish a hydropower unit power generation calculation model, and calculate the minimum power generation of the hydropower unit in the decision period t and maximum power generation

[0060] In this embodiment, the calculation model of the hydroelectric unit power generation is specifically expressed as:

[0061] P h,t =K(F nature,t +F stor,t )(H stor,t -H down,t )

[0062] Where P h,t is the power generation of the hydropower unit in the decision period t; K is the comprehensive efficiency coefficient of the hydropower unit; F nature,t is the natural flow of the river during the decision period t; F stor,t is the reservoir storage and discharge flow in decision period t; H stor,t is the reservoir water level in decision period t; H down,t is the downstream water level of the river at decision time period t.

[0063] When the reservoir storage and discharge flow is zero, the hydropower unit power generation capacity is the minimum in the decision period t, and the minimum power generation capacity of the hydropower unit is The calculation formula is as follows:

[0064]

[0065] When the reservoir storage and discharge flow is the largest, the hydropower unit generates the largest power during the decision period t. The calculation formula is as follows:

[0066]

[0067] In the formula, is the maximum storage and discharge flow of the reservoir in decision period t; f(H stor,t ) is the reservoir water level H at decision time t stor,t Corresponding reservoir capacity; f(H stag ) is the dead water level of the reservoir H stag The corresponding reservoir capacity; T is the scheduling time interval.

[0068] S2: Obtain the amount of electricity Q decomposed from the annual and monthly power purchase transactions of the power trading platform to the decision period t ym,t And the corresponding power P ym,t , compared with the minimum power generation of the hydropower unit in the decision period t The power P corresponding to the power consumption in the decision period t is decomposed into the annual and monthly transaction of the power purchase agent ym,t , take the maximum value of the two as the output value P of the hydropower unit in the decision period t in the first round of iteration t,0 .

[0069] S3: Collect the power consumption of the proxy power purchasing users and the power generation of the wind and solar power generators in the decision period t, establish a wind and solar priority matching quantity calculation model, and calculate the wind and solar priority matching quantity Q corresponding to the output of the hydropower unit in the decision period t in the current iteration round ws,t .

[0070] In this embodiment, the wind-solar priority matching quantity calculation model is specifically expressed as:

[0071] When the sum of the output of the hydropower unit and the wind and solar power unit is less than the power consumption of the proxy power purchaser (i.e. P w,t +P s,t +P h,t <P ag,t ), the scenery-solar priority matching quantity Q ws,t is the output of the wind and solar power generator set in the decision period t, and the calculation formula is expressed as:

[0072] Q ws,t =(P w,t +P s,t )T

[0073] Where P w,tis the power generation of the wind turbine in the decision period t; P s,t is the power generation of the photovoltaic generator set in the decision period t;

[0074] When the sum of the output of the hydropower unit and the wind and solar power unit is not less than the power consumption of the proxy power purchaser (i.e. P w,t +P s,t +P h,t ≥P ag,t ), the scenery-solar priority matching quantity Q ws,t The difference between the output of the hydropower unit and the power consumption of the power purchasing agent is expressed as follows:

[0075] Q ws,t =(P ag,t -P t,0 )T

[0076] Where P ag,t is the power consumption of the proxy electricity purchasing user in the decision period t.

[0077] S4: Based on the clearing price of the proxy power purchase transaction in the year and month and the on-grid electricity price of the hydropower unit and the wind and solar power unit, a proxy power purchase price calculation model is established to calculate the proxy power purchase price Pr corresponding to the output of the hydropower unit in the decision period t in the current iteration round. ag,t .

[0078] In this embodiment, the proxy power purchase price calculation model in step S4 is specifically expressed as:

[0079] When the sum of the output of the hydropower unit and the wind and solar power unit is less than the power consumption of the proxy power purchaser (i.e. P w,t +P s,t +P h,t <P ag,t ), the calculation formula is expressed as:

[0080]

[0081] When the sum of the output of the hydropower unit and the wind and solar power unit is not less than the power consumption of the proxy power purchaser (i.e. P w,t +P s,t +P h,t ≥P ag,t ), the calculation formula is expressed as:

[0082]

[0083] In the formula, Pr ym Pr is the clearing electricity price for the power purchasing agent to participate in the power purchasing agent transaction in the year and month; ws is the on-grid electricity price of wind and solar power generators; Q t,0 is the power generation of the hydropower unit in the decision period t; Prh is the on-grid electricity price of the hydropower generating unit; Q mar For power purchasers to participate in spot market trading of electricity; Pr mar is the average transaction price of users in the spot market; Q ag,t is the electricity consumption of the proxy electricity purchasing user in the decision period t.

[0084] S5: According to the wind-solar priority matching amount calculated in step S3 and the proxy power purchase price calculated in step S4, the proxy power purchase price volatility (economic indicator) and the wind-solar priority matching rate (technical indicator) are calculated respectively, and then based on the two, the comprehensive economic and technical evaluation index of the power system corresponding to the output of the hydropower unit in the decision period t in the current iteration round is calculated.

[0085] In this embodiment, the calculation formula of the volatility of the proxy power purchase price is expressed as:

[0086]

[0087] In the formula, B ag,t Pr is the volatility of the proxy power purchase price in decision period t; b It is the average price of electricity purchased by the proxy during the same period of history;

[0088] The calculation formula of wind-solar priority matching rate is expressed as:

[0089]

[0090] Where, X ws,t is the wind-solar matching rate in the decision period t; P w,t is the power generation of the wind turbine in the decision period t; P s,t is the power generation of the photovoltaic generator set in the decision period t; Q ws,t is the wind-solar priority matching amount in decision period t.

[0091] The calculation formula of comprehensive economic and technical evaluation index of power system is expressed as:

[0092] N t,k =α(1-X ws,t )+βB ag,t

[0093] Where N t,k is the comprehensive economic and technical evaluation index of the power system corresponding to the output of the hydropower unit in the decision period t in the k-1th iteration; α is the weight coefficient of the priority matching rate in the comprehensive evaluation index; β is the weight coefficient of the volatility of the proxy power purchase price in the comprehensive evaluation index.

[0094] S6: According to the set iteration step ΔP, increase the output value of the hydropower unit in the decision period t in turn, iterate the calculation steps S3-S5, and record the comprehensive economic and technical evaluation index of the power system corresponding to each hydropower unit output value. When the output value of the hydropower unit is greater than the maximum power generation power of the hydropower unit When , the iterative calculation stops. The comprehensive economic and technical evaluation index of the power system corresponding to the output value of all hydropower units can be expressed as {N t,0 ,N t,1 ,…,N t,n-1}, where n is the output value of the hydropower unit; select the optimal comprehensive economic and technical evaluation index N of the power system t =min{N t,0 ,N t,1 ,…,N t,n-1}, based on the corresponding hydropower unit output P h,t =P(N t ) and the storage and discharge flow of the hydropower station reservoir F stor,t , to control the gate opening of the reservoir.

[0095] The above embodiment provides a method for controlling the output of a hydropower unit. First, the wind-solar priority matching amount and the proxy power purchase price under a series of hydropower unit outputs are calculated by establishing a wind-solar priority matching amount calculation model and a proxy power purchase price calculation model, and then a series of comprehensive economic and technical evaluation indicators of the power system under the output of the hydropower unit are calculated, and the hydropower unit output and the storage and discharge flow of the hydropower station reservoir corresponding to the optimal comprehensive economic and technical evaluation indicators of the power system are selected to control the gate opening of the reservoir. The present invention has the characteristics of easy operation. By effectively controlling the output of the hydropower unit, the wind-solar priority matching amount is effectively increased, and the fluctuation of the proxy power purchase price is reduced, the output control of the hydropower unit that maximizes the wind-solar priority matching amount and minimizes the fluctuation of the proxy power purchase price is realized, and the negative impact of wind-solar power generation and proxy power purchase matching is improved under the premise of ensuring the balance of power supply and demand.

[0096] The embodiment of the present invention also provides a hydropower unit output control system that maximizes the wind-solar priority matching amount and minimizes the fluctuation of the proxy power purchase price, including a data acquisition module and a control module;

[0097] The data acquisition module is used to transmit the collected data to the control module, wherein the collected data includes: the water level of the hydropower station reservoir, the water level of the downstream river and the natural flow of the river, as well as the annual and monthly transaction data of the proxy power purchase, the power consumption of the proxy power purchase user in the decision period t and the power generation power of the wind and solar power generator set;

[0098] The control module is used to receive the data collected by the data collection module and is configured to execute the hydropower unit output control method as described above for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price.

[0099] Specifically, the control module includes:

[0100] The power calculation unit of the hydropower station is used to obtain the water level of the hydropower station reservoir, the water level of the downstream river and the natural flow of the river, establish the calculation model of the power generation of the hydropower unit, and calculate the minimum power generation of the hydropower unit in the decision period t and maximum power generation

[0101] The initial hydropower unit output value decision unit is used to obtain the power Q of the proxy power purchase year and month transaction decomposed into the decision period t from the power trading platform ym,t And the corresponding power P ym,t , compared with the minimum power generation of the hydropower unit in the decision period t The power P corresponding to the power consumption in the decision period t is decomposed into the annual and monthly transaction of the power purchase agent ym,t , take the maximum value of the two as the output value P of the hydropower unit in the decision period t in the first round of iteration t,0 ;

[0102] The wind-solar priority matching quantity calculation unit is used to collect the power consumption of the proxy power purchasing user and the power generation power of the wind-solar generator set in the decision period t, establish a wind-solar priority matching quantity calculation model, and calculate the wind-solar priority matching quantity Q corresponding to the output of the hydropower unit in the decision period t in the current iteration round ws,t ;

[0103] The proxy power purchase price calculation unit is used to establish a proxy power purchase price calculation model based on the clearing price of proxy power purchase transactions in the year and month and the on-grid electricity price of hydropower units and wind and solar power units, and calculate the proxy power purchase price Pr corresponding to the output of the hydropower unit in the decision period t in the current iteration round. ag,t ;

[0104] The economic and technical comprehensive evaluation index calculation unit is used to calculate the proxy power purchase price volatility and the wind and solar priority matching rate according to the calculated wind and solar priority matching amount and the proxy power purchase price, and then calculate the power system economic and technical comprehensive evaluation index corresponding to the hydropower unit output in the decision period t in the current iteration round based on the two;

[0105] The control unit is used to increase the output value of the hydropower unit in the decision period t in sequence according to the set iteration step ΔP, return the wind-solar priority matching quantity calculation unit, the proxy power purchase price calculation unit, and the economic and technical comprehensive evaluation index calculation unit to calculate in sequence, and record the economic and technical comprehensive evaluation index of the power system corresponding to each hydropower unit output value. When the output value of the hydropower unit is greater than the maximum power generation power of the hydropower unit When , the iterative calculation is stopped, and the optimal comprehensive economic and technical evaluation index of the power system is screened out. Based on the corresponding hydropower unit output and the storage and discharge flow of the hydropower station reservoir, the gate opening of the reservoir is controlled.

[0106] An embodiment of the present invention also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price as described in the above-mentioned embodiment is implemented.

[0107] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0108] It should be understood that the functional unit modules in various embodiments of the present invention may be concentrated in one processing unit, or each unit module may exist physically separately, or two or more unit modules may be integrated in one unit module, and may be implemented in the form of hardware or software.

[0109] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0110] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0111] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0113] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0114] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for controlling the output of a hydropower unit that maximizes the priority matching amount of wind and solar power and minimizes the fluctuation of the proxy power purchase price, characterized in that: The steps include: S1: Obtain the reservoir water level of the hydropower station, the downstream water level of the river and the natural flow of the river, establish a hydropower unit power generation calculation model, and calculate the minimum power generation of the hydropower unit in the decision period t and maximum power generation S2: Obtain the transaction volume Q of the annual and monthly power purchase transactions from the power trading platform and decompose it into the decision period t ym,t And the corresponding transaction power P ym,t , compared with the minimum power generation of the hydropower unit in the decision period t and transaction power P ym,t , take the maximum value of the two as the hydropower unit output value P in the first round of iteration t,0 ; S3: Collect the power consumption of the proxy power purchasing users and the power generation of the wind and solar power generators in the decision period t, establish a wind and solar priority matching quantity calculation model, and calculate the wind and solar priority matching quantity Q corresponding to the output of the hydropower unit in the decision period t in the current iteration round ws,t ; S4: Based on the clearing price of the proxy power purchase transaction in the year and month and the on-grid electricity price of the hydropower unit and the wind and solar power unit, a proxy power purchase price calculation model is established to calculate the proxy power purchase price Pr corresponding to the output of the hydropower unit in the decision period t in the current iteration round. ag,t ; S5: According to the wind-solar priority matching amount calculated in step S3 and the proxy power purchase price calculated in step S4, the proxy power purchase price volatility and the wind-solar priority matching rate are calculated respectively, and then based on the two, the comprehensive economic and technical evaluation index of the power system corresponding to the output of the hydropower unit in the decision period t in the current iteration round is calculated; S6: According to the set iteration step ΔP, increase the output value of the hydropower unit in the decision period t in turn, iterate the calculation steps S3-S5, and record the comprehensive economic and technical evaluation index of the power system corresponding to each hydropower unit output value. When the output value of the hydropower unit is greater than the maximum power generation power of the hydropower unit When , the iterative calculation is stopped, and the optimal comprehensive economic and technical evaluation index of the power system is screened out. Based on the corresponding hydropower unit output and the storage and discharge flow of the hydropower station reservoir, the gate opening of the reservoir is controlled.

2. The hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price according to claim 1 is characterized in that: The calculation model of the hydropower generating unit power in step S1 is specifically expressed as: P h,t =K(F nature,t +F stor,t )(H stor,t -H down,t ) Where P h,t is the power generation of the hydropower unit in the decision period t; K is the comprehensive efficiency coefficient of the hydropower unit; F nature,t is the natural flow of the river during the decision period t; F stor,t is the reservoir storage and discharge flow in decision period t; H stor,t is the reservoir water level in decision period t; H down,t is the downstream water level of the river at decision time period t.

3. The hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price according to claim 2 is characterized in that: Minimum power generation of hydropower units in decision period t is the power generation when the reservoir storage and discharge flow is zero, and the calculation formula is as follows: Maximum power generation of hydropower units in decision period t is the power when the reservoir storage and discharge flow is the largest, and the calculation formula is as follows: In the formula, is the maximum storage and discharge flow of the reservoir in decision period t; f(H stor,t ) is the reservoir water level H at decision time t stor,t Corresponding reservoir capacity; f(H stag ) is the dead water level of the reservoir H stag The corresponding reservoir capacity; T is the scheduling time interval.

4. The hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price according to claim 1 is characterized in that: The wind-solar priority matching quantity calculation model in step S3 is specifically expressed as: When the sum of the output of the hydropower unit and the wind and solar power unit is less than the power consumption of the proxy power purchaser, the wind and solar priority matching quantity Q ws,t is the output of the wind and solar power generator set in the decision period t, and the calculation formula is expressed as: Q ws,t =(P w,t +P s,t )T Where P w,t is the power generation of the wind turbine in the decision period t; P s,t is the power generation of the photovoltaic generator set in the decision period t; When the sum of the output of the hydropower unit and the wind and solar power unit is not less than the power consumption of the proxy power purchaser, the wind and solar power priority matching quantity Q ws,t The difference between the output of the hydropower unit and the power consumption of the power purchasing agent is expressed as follows: Q ws,t =(P ag,t -P t,0 )T Where P ag,t is the power consumption of the proxy electricity purchasing user in the decision period t.

5. The hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price according to claim 1 is characterized in that: The proxy power purchase price calculation model in step S4 is specifically expressed as: When the sum of the output of the hydropower unit and the wind and solar power unit is less than the power consumption of the power purchasing agent, the calculation formula is expressed as: When the sum of the output of the hydropower unit and the wind and solar power unit is not less than the power consumption of the power purchasing agent, the calculation formula is expressed as: In the formula, Pr ym Pr is the clearing electricity price for the power purchasing agent to participate in the power purchasing agent transaction in the year and month; ws is the on-grid electricity price of wind and solar power generators; Q t,0 is the power generation of the hydropower unit in the decision period t; Pr h is the on-grid electricity price of the hydropower generating unit; Q mar For power purchasers to participate in spot market trading of electricity; Pr mar is the average transaction price of users in the spot market; Q ag,t is the electricity consumption of the proxy electricity purchasing user in the decision period t.

6. The hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of proxy power purchase price according to claim 1 is characterized in that: The calculation formula of the volatility rate of the proxy power purchase price in step S5 is expressed as: In the formula, B ag,t Pr is the volatility of the proxy power purchase price in decision period t; b It is the average price of electricity purchased by the proxy during the same period of history; The calculation formula of the wind-solar priority matching rate in step S5 is expressed as: Where, X ws,t is the wind-solar matching rate in the decision period t; P w,t is the power generation of the wind turbine in the decision period t; P s,t is the power generation of the photovoltaic generator set in the decision period t; Q ws,t is the wind-solar priority matching amount in decision period t.

7. The hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of proxy power purchase price according to claim 6 is characterized in that: The calculation formula of the comprehensive economic and technical evaluation index of the power system in step S5 is expressed as: N t,k =α(1-X ws,t )+βB ag,t Where N t,k is the comprehensive economic and technical evaluation index of the power system corresponding to the output of the hydropower unit in the decision period t in the k-1th iteration; α is the weight coefficient of the priority matching rate in the comprehensive evaluation index; β is the weight coefficient of the volatility of the proxy power purchase price in the comprehensive evaluation index.

8. A hydropower unit output control system that maximizes the wind-solar priority matching amount and minimizes the fluctuation of proxy power purchase price, characterized in that: It includes a data acquisition module and a control module; The data acquisition module is used to transmit the collected data to the control module, wherein the collected data includes: the water level of the hydropower station reservoir, the water level of the downstream river and the natural flow of the river, as well as the annual and monthly transaction data of the proxy power purchase, the power consumption of the proxy power purchase user in the decision period t and the power generation power of the wind and solar power generator set; The control module is used to receive the data collected by the data collection module and is configured to execute the hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price as described in any one of claims 1 to 7.

9. The hydropower unit output control system for maximizing the wind-solar priority matching amount and minimizing the fluctuation of proxy power purchase price according to claim 8 is characterized in that: The control module comprises: The power calculation unit of the hydropower station is used to obtain the water level of the hydropower station reservoir, the water level of the downstream river and the natural flow of the river, establish the calculation model of the power generation of the hydropower unit, and calculate the minimum power generation of the hydropower unit in the decision period t and maximum power generation The initial hydropower unit output value decision unit is used to obtain the power Q of the proxy power purchase year and month transaction decomposed into the decision period t from the power trading platform ym,t And the corresponding power P ym,t , compared with the minimum power generation of the hydropower unit in the decision period t The power P corresponding to the power consumption in the decision period t is decomposed into the annual and monthly transaction of the power purchase agent ym,t , take the maximum value of the two as the hydropower unit output value P in the first round of iteration t,0 ; The wind-solar priority matching quantity calculation unit is used to collect the power consumption of the proxy power purchasing user and the power generation power of the wind-solar generator set in the decision period t, establish a wind-solar priority matching quantity calculation model, and calculate the wind-solar priority matching quantity Q corresponding to the output of the hydropower unit in the decision period t in the current iteration round ws,t ; The proxy power purchase price calculation unit is used to establish a proxy power purchase price calculation model based on the clearing price of proxy power purchase transactions in the year and month and the on-grid electricity price of hydropower units and wind and solar power units, and calculate the proxy power purchase price Pr corresponding to the output of the hydropower unit in the decision period t in the current iteration round. ag,t ; The economic and technical comprehensive evaluation index calculation unit is used to calculate the proxy power purchase price volatility and the wind and solar priority matching rate according to the calculated wind and solar priority matching amount and the proxy power purchase price, and then calculate the power system economic and technical comprehensive evaluation index corresponding to the hydropower unit output in the decision period t in the current iteration round based on the two; The control unit is used to increase the output value of the hydropower unit in the decision period t in sequence according to the set iteration step ΔP, return the wind-solar priority matching quantity calculation unit, the proxy power purchase price calculation unit, and the economic and technical comprehensive evaluation index calculation unit to calculate in sequence, and record the economic and technical comprehensive evaluation index of the power system corresponding to each hydropower unit output value. When the output value of the hydropower unit is greater than the maximum power generation power of the hydropower unit When , the iterative calculation is stopped, and the optimal comprehensive economic and technical evaluation index of the power system is screened out. Based on the corresponding hydropower unit output and the storage and discharge flow of the hydropower station reservoir, the gate opening of the reservoir is controlled.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the hydropower unit output control method for maximizing the wind-solar priority matching amount and minimizing the fluctuation of the proxy power purchase price as described in any one of claims 1 to 7 is implemented.

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