Power load distribution method and system based on water-light complementary coordination control

Abstract

The invention discloses a power load distribution method and system based on water-light complementary coordination control, and the method comprises the steps: recognizing control information transmitted by a dispatching center, and obtaining a control mode; and when the control mode is the photovoltaic priority mode, calculating the power generation demand of the hydropower station, and when the control mode is the hydropower priority mode, calculating the power generation demand of the photovoltaic power station. And dynamically adjusting the generating capacity of the photovoltaic power station and the hydropower station to ensure power distribution coordination. According to the power load distribution method and system based on water-light complementary coordination control provided by the invention, power distribution coordination is ensured by dynamically adjusting the generating capacity of the photovoltaic power station and the hydropower station. In the photovoltaic priority mode, the water storage and discharge sequence is optimized through the dynamic planning algorithm, the purposes of minimum total energy consumption and maximum total electric energy are achieved, and the energy utilization efficiency of the system is improved. In the hydroelectric priority mode, the generating capacity is dynamically adjusted through a multi-objective optimization algorithm in combination with real-time load requirements and environmental conditions, and the stability and economic benefits of the system are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power system optimization, and in particular to a method and system for distributing power loads based on water-photovoltaic complementary coordinated control. Background Art

[0002] With the growth of global energy demand and the improvement of environmental protection awareness, new energy power generation technology has developed rapidly. Among them, photovoltaic power generation and hydropower generation, as representatives of clean energy, have gradually occupied an important position in the power system. Photovoltaic power generation is widely used in various power systems due to its abundant resources, wide distribution and environmental friendliness. However, photovoltaic power generation has obvious volatility and instability, which is mainly limited by weather conditions and day and night changes. Therefore, it is difficult to achieve stable operation and reliable power supply of the power system by relying solely on photovoltaic power generation. Hydropower generation has a strong regulation ability and can effectively balance the supply and demand of electricity, but its power generation is limited by the seasonal and regional changes of water resources. To this end, combining photovoltaic power generation with hydropower generation and using the regulation ability of hydropower generation to make up for the shortcomings of photovoltaic power generation has become an important direction of current research.

[0003] In the prior art, some power system control methods based on water-photovoltaic complementarity have been proposed. These methods mainly reduce the consumption of fossil energy by giving priority to photovoltaic power generation, and use the regulation characteristics of hydropower to balance the fluctuation of photovoltaic power generation. However, these technologies still have some shortcomings in practical applications. First, most of the existing methods use simple power matching algorithms, which fail to fully consider the various constraints and system optimization requirements of photovoltaic and hydropower generation, resulting in low overall system efficiency. Secondly, the existing technology lacks flexibility and accuracy in adjusting strategies when dealing with sudden load changes and extreme weather conditions, which may lead to instability in the power system. In addition, the existing methods usually fail to make full use of the forecast data of photovoltaic power generation and the dynamic regulation capabilities of hydropower generation, resulting in the failure to optimally configure power resources. In order to solve the above problems, a more refined and intelligent water-photovoltaic complementary coordinated control method is urgently needed to improve the stability and efficiency of the power system. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that most existing methods use simple power matching algorithms, which fail to fully consider the various constraints and system optimization requirements of photovoltaic and hydropower generation, resulting in low overall system efficiency. When dealing with sudden load changes and extreme weather conditions, the adjustment strategy lacks flexibility and accuracy, which may lead to instability in the power system. Usually, the forecast data of photovoltaic power generation and the dynamic adjustment capabilities of hydropower generation are not fully utilized, resulting in the failure to optimally configure power resources.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for distributing electric power load based on water-photovoltaic complementary coordinated control, comprising: identifying control information sent by a dispatching center to obtain a control mode.

[0007] When the control mode is the photovoltaic priority mode, the required power generation of the hydropower station is calculated. When the control mode is the hydropower priority mode, the required power generation of the photovoltaic power station is calculated.

[0008] Dynamically adjust the power generation of photovoltaic power stations and hydropower stations to ensure coordinated power distribution.

[0009] As a preferred solution of the power load distribution method based on water-photovoltaic complementary coordinated control described in the present invention, wherein: the control information sent by the identification dispatching center to obtain the control mode includes that the dispatching center sends control information including a photovoltaic priority mode and a hydropower priority mode.

[0010] The photovoltaic priority mode means that photovoltaic power generation is given priority in power load distribution, and the hydropower priority mode means that hydropower generation is given priority in power load distribution.

[0011] As a preferred scheme of the power load distribution method based on water-photovoltaic complementary coordinated control described in the present invention, wherein: when the control mode is the photovoltaic priority mode, calculating the required power generation of the hydropower station includes, in the photovoltaic priority mode, the system first maximizes the use of the power generation of the photovoltaic power station, and at the same time, in order to ensure the stable operation of the power system, the required power generation of the hydropower station needs to be calculated.

[0012] Collect the real-time power generation data of the photovoltaic power station at the current moment pv (t) and the total load demand of the power system L(t), and the prediction model based on Bayesian update predicts the photovoltaic power generation at the future time It is expressed as:

[0013]

[0014] in, represents the photovoltaic power generation at the future moment, λ represents the attenuation coefficient of photovoltaic power generation, t represents the current moment, and t' represents the predicted moment.

[0015] Calculate the difference between the normalized value of the predicted power generation of the photovoltaic power station and the power generation at the current moment:

[0016]

[0017] Among them, P pv,diff (t) represents the difference between the predicted power generation and the real-time power generation of the PV power station.

[0018] The difference is filtered to obtain the adjusted difference in power generation of the photovoltaic power station:

[0019]

[0020] Among them, P pv,adj (t) represents the difference in power generation of the PV power station after adjustment.

[0021] The dispatchable power at the current moment is expressed as:

[0022] P total (t) = P pv (t)+P pv,adj (t)

[0023] Calculate the required power generation of the hydropower station based on the total load demand L(t):

[0024] P hydro,need (t) = L(t) - P total (t)

[0025] The required power generation of the hydropower station is optimized, and the final power generation of the hydropower station is expressed as:

[0026]

[0027] Among them, δ represents the optimization parameter.

[0028] As a preferred solution of the power load distribution method based on water-photovoltaic complementary coordinated control described in the present invention, when the control mode is the hydropower priority mode, calculating the required power generation of the photovoltaic power station includes collecting the real-time power generation data P of the hydropower station at the current moment. hydro (t) and the total load demand of the power system L(t), the hydropower generation at the future moment is predicted by a comprehensive model based on flow, historical power generation data and weather forecast, which is expressed as:

[0029]

[0030] Where Q(t′) represents the flow rate, η w represents the conversion efficiency of the hydropower station, t represents the current time, and t' represents the predicted time.

[0031] Calculate the difference between the normalized value of the predicted power generation of the hydropower station and the power generation at the current moment:

[0032]

[0033] The difference is filtered to obtain the adjusted difference in power generation of the hydropower station:

[0034]

[0035] Among them, P hydro,adj (t) represents the difference in power generation of the hydropower station after adjustment.

[0036] Calculate the total dispatchable power at the current moment, expressed as:

[0037] P total (t) = P hydro (t)+P hydro,adj (t)

[0038] Calculate the required power generation of the photovoltaic power station based on the total load demand L(t):

[0039] P pv,need (t) = L(t) - P total (t)

[0040] Among them, P pv,need (t) represents the required power generation of the photovoltaic power station.

[0041] As a preferred scheme of the power load distribution method based on water-photovoltaic complementary coordinated control described in the present invention, when the control mode is the hydropower priority mode, calculating the required power generation of the photovoltaic power station also includes, in order to optimize the calculation of the required power generation of the photovoltaic power station, introducing multiple conditions and constraints for comprehensive analysis, including environmental condition constraints, load adjustment constraints and photovoltaic power generation efficiency.

[0042] The environmental condition constraints are expressed as:

[0043]

[0044] Among them, f i (t) represents the environmental factor function.

[0045] The load adjustment constraint considers the demand for photovoltaic power generation due to dynamic load changes and is expressed as:

[0046]

[0047] Photovoltaic power generation efficiency takes into account the conversion efficiency and attenuation factors of photovoltaic modules and is expressed as:

[0048] η pv (t) = η0e -κt

[0049] Among them, η0 represents the initial efficiency and κ represents the attenuation coefficient.

[0050] The constraint condition results are integrated into the calculation of the required power generation of the photovoltaic power station to obtain the final power generation of the photovoltaic power station:

[0051] P pv (t)'=(P pv,need (t)+E(t)+D(t))×η pv (t)

[0052] Among them, P pv (t)' represents the final power generation required by the photovoltaic power station at the current moment.

[0053] As a preferred solution of the power load distribution method based on water-photovoltaic complementary coordinated control described in the present invention, the dynamic adjustment of the power generation of the photovoltaic power station and the hydropower station includes, in the photovoltaic priority mode, calculating the deviation between the power generation of the photovoltaic power station and the hydropower station and the load demand, expressed as:

[0054] ΔP pv (t) = P pv (t)-P pv,need (t)

[0055] ΔP hydro (t) = P hydro (t)-P hydro,need (t)

[0056] Among them, ΔP pv (t) represents the power generation deviation of the photovoltaic power station, ΔP hydro (t) represents the power generation deviation of the hydropower station, P pv,need (t) represents the power generation required by the photovoltaic power station at the current moment, P hydro,need (t) represents the power generation required by the hydropower station at the current moment.

[0057] The order of water storage and release is optimized to achieve the goal of minimizing total energy consumption or maximizing total electrical energy. The dynamic programming algorithm is used for adjustment. The state transition equation is expressed as:

[0058]

[0059] Among them, V(t,s) represents the minimum energy consumption in state s at time t, C(t,s,u) represents the energy consumption under control u, and f(s,u) represents the state transfer function.

[0060] According to the dynamic planning results, adjust the power generation of photovoltaic power stations and hydropower stations:

[0061]

[0062] Among them, P pv,adj (t) represents the adjusted power generation of the photovoltaic power station, P hydro,adj (t) represents the adjusted power generation of the hydropower station, W pv Represents the weight of the photovoltaic power station, W hydro Represents the weight of the hydropower station.

[0063] As a preferred solution of the power load distribution method based on water-photovoltaic complementary coordinated control described in the present invention, the dynamic adjustment of the power generation of photovoltaic power stations and hydropower stations also includes, in the hydropower priority mode, calculating the deviation between the power generation of hydropower stations and photovoltaic power stations and the load demand. In order to achieve the goal of maximizing total electric energy while satisfying all hydraulic and electrical constraints, a multi-objective optimization algorithm is used for adjustment, and the objective function is expressed as:

[0064]

[0065] According to the optimization results, adjust the power generation of the hydropower station and photovoltaic power station:

[0066]

[0067] Among them, P pv,adj (t) represents the adjusted power generation of the photovoltaic power station, P hydro,adj (t) represents the adjusted power generation of the hydropower station.

[0068] An electric load distribution system based on water-photovoltaic complementary coordinated control, characterized in that: it includes:

[0069] The information receiving module identifies the control information sent by the dispatching center and obtains the control mode.

[0070] The calculation module calculates the required power generation of the hydropower station when the control mode is the photovoltaic priority mode, and calculates the required power generation of the photovoltaic power station when the control mode is the hydropower priority mode.

[0071] The optimization module dynamically adjusts the power generation of photovoltaic power plants and hydropower plants to ensure coordinated power distribution.

[0072] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0073] A computer-readable storage medium stores a computer program, which implements the steps of the method described above when executed by a processor.

[0074] The beneficial effects of the present invention are as follows: by dynamically adjusting the power generation of photovoltaic power stations and hydropower stations, the coordination of power distribution is ensured. In the photovoltaic priority mode, the present invention optimizes the order of water storage and discharge through a dynamic programming algorithm to achieve the goals of minimizing total energy consumption and maximizing total electric energy, thereby improving the energy efficiency of the system. In the hydropower priority mode, through a multi-objective optimization algorithm, combined with real-time load demand and environmental conditions, the power generation is dynamically adjusted to ensure the stability and economic benefits of the system. Finally, the method of the present invention achieves the stable operation of the power system and the optimal allocation of resources through a variety of innovative steps, and has significant application value and promotion prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. 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 creative work. Among them:

[0076] Figure 1 An overall flow chart of a method for distributing electric power loads based on water-photovoltaic complementary coordinated control provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0077] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0078] Example 1

[0079] Reference Figure 1 , which is an embodiment of the present invention, provides a method for distributing electric loads based on water-photovoltaic complementary coordinated control, comprising:

[0080] S1: Identify the control information sent by the dispatch center and obtain the control mode.

[0081] The dispatch center sends control information, including photovoltaic priority mode and hydropower priority mode.

[0082] The photovoltaic priority mode means that photovoltaic power generation is given priority in power load distribution, and the hydropower priority mode means that hydropower generation is given priority in power load distribution.

[0083] S2: When the control mode is the photovoltaic priority mode, the required power generation of the hydropower station is calculated. When the control mode is the hydropower priority mode, the required power generation of the photovoltaic power station is calculated.

[0084] In the photovoltaic priority mode, the system first maximizes the use of the power generated by the photovoltaic power station. At the same time, in order to ensure the stable operation of the power system, the required power generation of the hydropower station needs to be calculated.

[0085] It should be noted that in the photovoltaic priority mode, the system first maximizes the use of photovoltaic power station power generation to reduce dependence on traditional energy. The idea of ​​calculating the required power generation of the hydropower station includes: first, collecting the real-time power generation data of the photovoltaic power station and the total load demand of the power system. Then, based on historical data and weather forecasts, the Bayesian update model is used to predict the photovoltaic power generation at future times. Then, the normalized value of the photovoltaic power generation and the power generation at the current moment are calculated, and the difference is filtered to obtain the adjusted photovoltaic power generation difference. Finally, the required power generation of the hydropower station is calculated based on the total load demand.

[0086] Furthermore, this method makes full use of photovoltaic power generation, reduces dependence on hydropower resources, and helps save water resources. At the same time, by predicting and adjusting photovoltaic power generation, it can effectively reduce the impact of photovoltaic power generation volatility on system stability. The Bayesian update model and filtering algorithm make the calculation process more accurate and real-time, ensuring that the system's load demand can be met in a timely manner, and improving the reliability and stability of the system.

[0087] Collect the real-time power generation data of the photovoltaic power station at the current moment pv (t) and the total load demand of the power system L(t), and the prediction model based on Bayesian update predicts the photovoltaic power generation at the future time It is expressed as:

[0088]

[0089] in, represents the photovoltaic power generation at the future moment, λ represents the attenuation coefficient of photovoltaic power generation, t represents the current moment, and t' represents the predicted moment.

[0090] Calculate the difference between the normalized value of the predicted power generation of the photovoltaic power station and the power generation at the current moment:

[0091]

[0092] Among them, P pv,diff (t) represents the difference between the predicted power generation and the real-time power generation of the PV power station.

[0093] The difference is filtered to obtain the adjusted difference in power generation of the photovoltaic power station:

[0094]

[0095] Among them, P pv,adj (t) represents the difference in power generation of the PV power station after adjustment.

[0096] The dispatchable power at the current moment is expressed as:

[0097] P total (t) = Ppv (t)+P pv,adj (t)

[0098] Calculate the required power generation of the hydropower station based on the total load demand L(t):

[0099] P hydro,need (t) = L(t) - P total (t)

[0100] The required power generation of the hydropower station is optimized, and the final power generation of the hydropower station is expressed as:

[0101]

[0102] Among them, δ represents the optimization parameter.

[0103] It should be noted that this optimization calculation method can achieve the optimal dispatch of hydropower station power generation, reduce the fluctuation of the power system, and improve the stability and economy of system operation. By introducing higher integral functions, the dynamic changes of load demand are taken into account, making the calculation results more accurate and reliable. At the same time, the optimization process helps to improve the utilization efficiency of hydropower resources, ensuring that when photovoltaic power generation is insufficient, hydropower can supplement power demand in time and ensure the stable operation of the system.

[0104] It should be noted that in the hydropower priority mode, the system first maximizes the use of the power generation of the hydropower station. The idea of ​​calculating the required power generation of the photovoltaic power station includes: collecting the real-time power generation data of the hydropower station and the total load demand of the power system. Based on the comprehensive model of flow, historical power generation data and weather forecast, the hydropower generation at the future moment is predicted. Then the normalized value of the hydropower generation and the power generation at the current moment are calculated, and the difference is filtered to obtain the adjusted hydropower generation difference. Finally, the required power generation of the photovoltaic power station is calculated based on the total load demand.

[0105] Furthermore, this method can make full use of hydropower resources and reduce the impact of the uncertainty of photovoltaic power generation on the system. The hydropower generation is predicted by a comprehensive model, and the difference adjustment and filtering are performed to make the calculation results more accurate and real-time. Environmental factors and the regulation capacity of hydropower are taken into account to ensure the stable operation of the system under different load demands. The optimized photovoltaic power generation calculation helps to improve the utilization efficiency of photovoltaic power stations and achieve the optimal configuration of power resources.

[0106] Collect the real-time power generation data of the hydropower station at the current moment hydro (t) and the total load demand of the power system L(t), the hydropower generation at the future moment is predicted by a comprehensive model based on flow, historical power generation data and weather forecast, which is expressed as:

[0107]

[0108] Where Q(t′) represents the flow rate, η w represents the conversion efficiency of the hydropower station, t represents the current time, and t' represents the predicted time.

[0109] Calculate the difference between the normalized value of the predicted power generation of the hydropower station and the power generation at the current moment:

[0110]

[0111] The difference is filtered to obtain the adjusted difference in power generation of the hydropower station:

[0112]

[0113] Among them, P hydro,adj (t) represents the difference in power generation of the hydropower station after adjustment.

[0114] Calculate the total dispatchable power at the current moment, expressed as:

[0115] P total (t) = P hydro (t)+P hydro,adj (t)

[0116] Calculate the required power generation of the photovoltaic power station based on the total load demand L(t):

[0117] P pv,need (t) = L(t) - P total (t)

[0118] Among them, P pv,need (t) represents the required power generation of the photovoltaic power station.

[0119] In order to optimize the calculation of the required power generation of photovoltaic power plants, multiple conditions and constraints are introduced for comprehensive analysis, including environmental condition constraints, load adjustment constraints and photovoltaic power generation efficiency.

[0120] The environmental condition constraints are expressed as:

[0121]

[0122] Among them, f i (t) represents the environmental factor function.

[0123] The load adjustment constraint considers the demand for photovoltaic power generation due to dynamic load changes and is expressed as:

[0124]

[0125] Photovoltaic power generation efficiency takes into account the conversion efficiency and attenuation factors of photovoltaic modules and is expressed as:

[0126] η pv(t) = η0e -κt

[0127] Among them, η0 represents the initial efficiency and κ represents the attenuation coefficient.

[0128] The constraint condition results are integrated into the calculation of the required power generation of the photovoltaic power station to obtain the final power generation of the photovoltaic power station:

[0129] P pv (t)'=(P pv,need (t)+E(t)+D(t))×η pv (t)

[0130] Among them, P pv (t)' represents the final power generation required by the photovoltaic power station at the current moment.

[0131] It should be noted that this method can achieve the goal of maximizing total electric energy while meeting all hydraulic and electric power constraints. By introducing multiple constraints and comprehensive analysis, the accurate calculation of photovoltaic power generation is ensured, and the response speed and stability of the system are improved. The optimized calculation of photovoltaic power generation helps to improve the conversion efficiency and utilization rate of photovoltaic modules, achieve the optimal configuration of renewable energy, reduce dependence on fossil energy, and improve the economic and environmental benefits of the system.

[0132] S3: Dynamically adjust the power generation of photovoltaic power plants and hydropower plants to ensure coordinated power distribution.

[0133] In the photovoltaic priority mode, the deviation between the power generation of photovoltaic power plants and hydropower plants and the load demand is calculated and expressed as:

[0134] ΔP pv (t) = P pv (t)-P pv,need (t)

[0135] ΔP hydro (t) = P hydro (t)-P hydro,need (t)

[0136] Among them, ΔP pv (t) represents the power generation deviation of the photovoltaic power station, ΔP hydro (t) represents the power generation deviation of the hydropower station, P pv,need (t) represents the power generation required by the photovoltaic power station at the current moment, P hydro,need (t) represents the power generation required by the hydropower station at the current moment.

[0137] The order of water storage and release is optimized to achieve the goal of minimizing total energy consumption or maximizing total electrical energy. The dynamic programming algorithm is used for adjustment. The state transition equation is expressed as:

[0138]

[0139] Among them, V(t,s) represents the minimum energy consumption in state s at time t, C(t,s,u) represents the energy consumption under control u, and f(s,u) represents the state transfer function.

[0140] It should be noted that the optimization design of the state transfer equation can achieve accurate scheduling of power generation and improve the operating efficiency of the system. Through the dynamic programming algorithm, the water storage and release sequence is optimized to ensure the stable operation of the system under different load demands. This method can respond to load changes in real time, reduce the fluctuations of the power system, and improve the reliability and economy of the system. At the same time, by minimizing the total energy consumption or maximizing the total electric energy, the energy utilization efficiency of the system is improved and the optimal allocation of resources is achieved.

[0141] According to the dynamic planning results, adjust the power generation of photovoltaic power stations and hydropower stations:

[0142]

[0143] Among them, P pv,adj (t) represents the adjusted power generation of the photovoltaic power station, P hydro,adj (t) represents the adjusted power generation of the hydropower station, W pv Represents the weight of the photovoltaic power station, W hydro Represents the weight of the hydropower station.

[0144] In the hydropower priority mode, the deviation between the power generation of the hydropower station and the photovoltaic power station and the load demand is calculated. In order to achieve the goal of maximizing the total power under all hydraulic and power constraints, a multi-objective optimization algorithm is used for adjustment, and the objective function is expressed as:

[0145]

[0146] It should be noted that the design of the objective function formula can effectively solve the deviation problem between power generation and load demand, and improve the stability and response speed of the system. Through the multi-objective optimization algorithm, the optimal configuration of power generation scheduling is achieved to ensure the efficient operation of the system under different load demands. This method can maximize the utilization rate of renewable energy, reduce dependence on fossil energy, and improve the economic and environmental benefits of the system. By comprehensively considering multiple factors, the comprehensiveness and scientificity of the optimization results are ensured, and the reliability and operation efficiency of the system are improved.

[0147] According to the optimization results, adjust the power generation of the hydropower station and photovoltaic power station:

[0148]

[0149] Among them, P pv,adj(t) represents the adjusted power generation of the photovoltaic power station, P hydro,adj (t) represents the adjusted power generation of the hydropower station.

[0150] The above embodiments also include a power load distribution system based on water-photovoltaic complementary coordinated control, specifically:

[0151] The information receiving module identifies the control information sent by the dispatching center and obtains the control mode.

[0152] The calculation module calculates the required power generation of the hydropower station when the control mode is the photovoltaic priority mode, and calculates the required power generation of the photovoltaic power station when the control mode is the hydropower priority mode.

[0153] The optimization module dynamically adjusts the power generation of photovoltaic power plants and hydropower plants to ensure coordinated power distribution.

[0154] The computer device may be a server. The computer device includes a processor, a memory, an input / output interface (I / O for short) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data cluster data of a power monitoring system. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method is implemented.

[0155] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0156] Example 2

[0157] An embodiment of the present invention provides a method and system for distributing electric power load based on water-photovoltaic complementary coordinated control. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through simulation experiments.

[0158] This embodiment aims to verify the effectiveness and advantages of a power load distribution method based on water-photovoltaic complementary coordinated control. The experimental scenario is set in a medium-sized power system, which includes a photovoltaic power station and a hydropower station. The test objects are the total load demand of the system, the power generation of the photovoltaic power station, the power generation of the hydropower station and the total power generation of the system. The test parameters include real-time power generation (unit: MW), predicted power generation (unit: MW), adjusted power generation (unit: MW) and total power generation (unit: MW). During the experiment, by operating the system in photovoltaic priority mode and hydropower priority mode respectively, and recording the data of various parameters, the power generation efficiency and system stability in the two modes are analyzed.

[0159] The test steps are as follows:

[0160] Collect real-time power generation data from photovoltaic power plants and hydropower plants, as well as the total load demand of the power system.

[0161] Obtain historical photovoltaic power generation data and weather forecast data, and use the Bayesian update model to predict photovoltaic power generation at future times.

[0162] In the photovoltaic priority mode, the required power generation of the hydropower station is calculated, and the photovoltaic power station should generate as much power as possible. The power generation of the photovoltaic power station is normalized, and the difference between the predicted power generation and the actual power generation is calculated. The predicted power generation is adjusted using the filtering algorithm to obtain the dispatchable power at the current moment, and the required power generation of the hydropower station is calculated based on the total load demand. The power generation of the hydropower station is optimized to ensure the stable operation of the system.

[0163] In the hydropower priority mode, the required power generation of the photovoltaic power station is calculated, and the hydropower station should generate as much as possible. Use the comprehensive model to predict the hydropower generation at future moments, and calculate the difference between the normalized value of the hydropower station's power generation and the power generation at the current moment. Filter the difference to obtain the adjusted power generation difference of the hydropower station. Calculate the total dispatchable power at the current moment, and calculate the required power generation of the photovoltaic power station based on the total load demand. Introduce environmental condition constraints, load adjustment constraints and photovoltaic power generation efficiency for comprehensive analysis to optimize the power generation of the photovoltaic power station.

[0164] In the photovoltaic priority mode and the hydropower priority mode, the deviation between the power generation and the load demand is calculated respectively. The dynamic programming algorithm and the multi-objective optimization algorithm are used to optimize the water storage and release sequence to achieve the goal of minimizing total energy consumption or maximizing total power. According to the optimization results, the power generation of the photovoltaic power station and the hydropower station is dynamically adjusted to ensure the coordination of power distribution. The experimental results are shown in Table 1.

[0165] Table 1 Experimental results

[0166]

[0167] It can be seen from the experimental data table that during the entire test process, the total load demand is gradually increasing, and the photovoltaic power generation and hydropower generation are adjusted according to different modes. The results of the test show that in the photovoltaic priority mode, by maximizing photovoltaic power generation, the system can effectively reduce its dependence on hydropower resources while ensuring that the total power generation meets the system needs. In the hydropower priority mode, by making full use of the regulation capacity of hydropower generation, the system can achieve stable operation under different load demands.

[0168] Advantages of PV priority mode:

[0169] In the photovoltaic priority mode, the maximum utilization of photovoltaic power generation is achieved by calculating the required power generation of the hydropower station and dynamically adjusting the power generation. The data shows that the photovoltaic power generation has gradually increased from 20MW in 1 hour to 50MW in 7 hours, effectively reducing the fluctuation of hydropower generation.

[0170] Using filtering and optimization algorithms, the photovoltaic power generation is adjusted to reduce the impact of photovoltaic power generation fluctuations on the system and improve the stability of the system. The test results show that the total power generation can always meet the total load demand, ensuring the reliable operation of the system.

[0171] Advantages of the hydropower priority model:

[0172] In the hydropower priority mode, the power generation demand of the photovoltaic power station is accurately calculated by introducing environmental condition constraints, load adjustment constraints and photovoltaic power generation efficiency for comprehensive analysis. The data shows that in the hydropower priority mode, the hydropower generation is maintained at 30MW, and the photovoltaic power generation is adjusted according to the load demand, ensuring that the total power generation meets the system demand.

[0173] Through dynamic programming and multi-objective optimization algorithms, the order of water storage and release was optimized, achieving the goal of minimizing total energy consumption and maximizing total electricity. The test results show that the system can quickly respond to load changes, maintain a dynamic balance between power generation and demand, and improve the economic benefits of the system.

[0174] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for distributing electric load based on water-photovoltaic complementary coordinated control, characterized in that: include: Identify the control information sent by the dispatch center and obtain the control mode; When the control mode is the photovoltaic priority mode, the required power generation of the hydropower station is calculated; when the control mode is the hydropower priority mode, the required power generation of the photovoltaic power station is calculated; Dynamically adjust the power generation of photovoltaic power stations and hydropower stations to ensure coordinated power distribution.

2. The method for distributing electric power load based on water-photovoltaic complementary coordinated control according to claim 1, characterized in that: The identifying control information sent by the dispatch center to obtain the control mode includes that the dispatch center sends the control information including a photovoltaic priority mode and a hydropower priority mode; The photovoltaic priority mode means that photovoltaic power generation is given priority in power load distribution, and the hydropower priority mode means that hydropower generation is given priority in power load distribution.

3. The method for distributing electric power load based on water-photovoltaic complementary coordinated control according to claim 2, characterized in that: When the control mode is the photovoltaic priority mode, calculating the required power generation of the hydropower station includes: in the photovoltaic priority mode, the system first maximizes the power generation of the photovoltaic power station, and at the same time, in order to ensure the stable operation of the power system, the required power generation of the hydropower station needs to be calculated; Collect the real-time power generation data of the photovoltaic power station at the current moment pv (t) and the total load demand of the power system L(t), and the prediction model based on Bayesian update predicts the photovoltaic power generation at the future time It is expressed as: in, represents the photovoltaic power generation at the future moment, λ represents the attenuation coefficient of photovoltaic power generation, t represents the current moment, and t' represents the predicted moment; Calculate the difference between the normalized value of the predicted power generation of the photovoltaic power station and the power generation at the current moment: Among them, P pv,diff (t) represents the difference between the predicted power generation and the real-time power generation of the PV power station; The difference is filtered to obtain the adjusted difference in power generation of the photovoltaic power station: Among them, P pv,adj (t) represents the difference in power generation of the PV power station after adjustment; The dispatchable power at the current moment is expressed as: P total (t)=P pv (t)+P pv,adj (t) Calculate the required power generation of the hydropower station based on the total load demand L(t): P hydro,need (t)=L(t)-P total (t) The required power generation of the hydropower station is optimized, and the final power generation of the hydropower station is expressed as: Among them, δ represents the optimization parameter.

4. The method for distributing electric power load based on water-photovoltaic complementary coordinated control according to claim 3, characterized in that: When the control mode is the hydropower priority mode, the calculation of the required power generation of the photovoltaic power station includes collecting the real-time power generation data P of the hydropower station at the current moment. hydro (t) and the total load demand of the power system L(t), the hydropower generation at the future moment is predicted by a comprehensive model based on flow, historical power generation data and weather forecast, which is expressed as: Where Q(t′) represents the flow rate, η w represents the conversion efficiency of the hydropower station, t represents the current time, and t' represents the predicted time; Calculate the difference between the normalized value of the predicted power generation of the hydropower station and the power generation at the current moment: The difference is filtered to obtain the adjusted difference in power generation of the hydropower station: Among them, P hydro,adj (t) represents the difference in power generation of the hydropower station after adjustment; Calculate the total dispatchable power at the current moment, expressed as: P total (t)=P hydro (t)+P hydro,adj (t) Calculate the required power generation of the photovoltaic power station based on the total load demand L(t): P pv,need (t)=L(t)-P total (t) Among them, P pv,need (t) represents the required power generation of the photovoltaic power station.

5. The method for distributing electric power load based on water-photovoltaic complementary coordinated control according to claim 4, characterized in that: When the control mode is the hydropower priority mode, calculating the required power generation of the photovoltaic power station also includes introducing multiple conditions and constraints for comprehensive analysis to optimize the calculation of the required power generation of the photovoltaic power station, including environmental condition constraints, load adjustment constraints and photovoltaic power generation efficiency; The environmental condition constraints are expressed as: Among them, f i (t) represents the environmental factor function; The load adjustment constraint considers the demand for photovoltaic power generation due to dynamic load changes and is expressed as: Photovoltaic power generation efficiency takes into account the conversion efficiency and attenuation factors of photovoltaic modules and is expressed as: or pv (t)=η0e -κt Among them, η0 represents the initial efficiency, κ represents the attenuation coefficient; The constraint condition results are integrated into the calculation of the required power generation of the photovoltaic power station to obtain the final power generation of the photovoltaic power station: P pv (t)'=(P pv,need (t)+E(t)+D(t))×η pv (t) Among them, P pv (t)' represents the final power generation required by the photovoltaic power station at the current moment.

6. The method for distributing electric load based on water-photovoltaic complementary coordinated control according to claim 5, characterized in that: The dynamic adjustment of the power generation of the photovoltaic power station and the hydropower station includes, in the photovoltaic priority mode, calculating the deviation between the power generation of the photovoltaic power station and the hydropower station and the load demand, expressed as: ΔP pv (t)=P pv (t)-P pv,need (t) ΔP hydro (t)=P hydro (t)-P hydro,need (t) Among them, ΔP pv (t) represents the power generation deviation of the photovoltaic power station, ΔP hydro (t) represents the power generation deviation of the hydropower station, P pv,need (t) represents the power generation required by the photovoltaic power station at the current moment, P hydro,need (t) represents the power generation required by the hydropower station at the current moment; The order of water storage and release is optimized to achieve the goal of minimizing total energy consumption or maximizing total electrical energy. The dynamic programming algorithm is used for adjustment. The state transition equation is expressed as: Among them, V(t,s) represents the minimum energy consumption in state s at time t, C(t,s,u) represents the energy consumption under control u, and f(s,u) represents the state transfer function; According to the dynamic planning results, adjust the power generation of photovoltaic power stations and hydropower stations: Among them, P pv,adj (t) represents the adjusted power generation of the photovoltaic power station, P hydro,adj (t) represents the adjusted power generation of the hydropower station, W pv Represents the weight of the photovoltaic power station, W hydro Represents the weight of the hydropower station.

7. The method for distributing electric power load based on water-photovoltaic complementary coordinated control according to claim 6, characterized in that: The dynamic adjustment of the power generation of the photovoltaic power station and the hydropower station also includes, in the hydropower priority mode, calculating the deviation between the power generation of the hydropower station and the photovoltaic power station and the load demand; in order to achieve the goal of maximizing the total electric energy under all hydraulic and electric power constraints, a multi-objective optimization algorithm is used for adjustment, and the objective function is expressed as: According to the optimization results, adjust the power generation of the hydropower station and photovoltaic power station: Among them, P pv,adj (t) represents the adjusted power generation of the photovoltaic power station, P hydro,adj (t) represents the adjusted power generation of the hydropower station.

8. An electric load distribution system based on water-photovoltaic complementary coordinated control using the method according to any one of claims 1 to 7, characterized in that: The information receiving module identifies the control information sent by the dispatch center and obtains the control mode; The calculation module calculates the required power generation of the hydropower station when the control mode is the photovoltaic priority mode, and calculates the required power generation of the photovoltaic power station when the control mode is the hydropower priority mode; The optimization module dynamically adjusts the power generation of photovoltaic power plants and hydropower plants to ensure coordinated power distribution.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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