Power regulation method and system for power grid load side resources

Abstract

The invention discloses a power regulation method and system for power grid load side resources, and the method comprises the steps: constructing an operation cost function corresponding to each type of generator set according to the historical operation data of a power grid and the parameters of power generation equipment; taking the lowest total output cost of the power grid as a target, adjusting the output power of the operation cost function through a preset unit priority, and constructing a lower bound of a cost curve; adjusting the output power of the operation cost function by taking the highest total output cost of the power grid as a target, and constructing an upper bound of a cost curve; and according to the cost curve lower bound and the cost curve upper bound, constructing a dynamic cost curve to obtain an output power adjustment range. And adjusting the output power of the power grid load side resource cluster according to the output power adjustment range and the actual cost demand. According to the method, the output power of the power grid connected with the new energy is accurately adjusted, so that the operation and scheduling cost of the power grid is reduced, and the operation stability is improved.

Description

Technical Field

[0001] The present application belongs to the technical field of electric power dispatching automation, and specifically relates to a power regulation method and system for power grid load-side resources. Background Art

[0002] In modern power systems, in order to cope with load fluctuations and dynamic changes in power generation resources, various power regulation resource clusters play an increasingly important role in distribution network systems. With the rapid development of renewable energy (such as wind power and photovoltaics), the demand for flexible resources in the power grid continues to increase, but due to the large volatility and low controllability of these energy sources, new challenges have been posed to the stability of the power grid. Traditional power generation systems mainly rely on frequency regulation and peak regulation services provided by conventional generators. In the face of frequency fluctuations caused by the access of new energy sources such as wind power and photovoltaics, the distribution network's demand for load-side resource regulation has increased significantly.

[0003] As an important backup mechanism for dealing with sudden frequency fluctuations in the power system, primary frequency regulation reserve maintains frequency stability by quickly adjusting the power generation when the system frequency deviates from the standard value. The rapid response characteristics of primary frequency regulation reserve ensure that the system restores balance within a few seconds and effectively responds to sudden load fluctuations or generator failures. However, since primary frequency regulation reserve is usually implemented in standby generators, the structure of today's power market has generated new technical requirements in the context of the increasing proportion of new energy consumption. Primary frequency regulation reserve is no longer applicable because it cannot cope with the randomness of new energy. Summary of the invention

[0004] The present application proposes a power regulation method and system for power grid load-side resources, which reduces the operation and dispatching costs of the power grid and improves the operation stability by accurately regulating the output power of the power grid connected to new energy sources.

[0005] A first aspect of the present application provides a power regulation method for power grid load side resources, the method comprising:

[0006] According to the historical operation data of the power grid and the parameters of power generation equipment, the operation cost function corresponding to each generator set is constructed;

[0007] Taking the lowest total output cost of the power grid as the goal, the output power of the operating cost function is adjusted by the preset unit priority to construct the lower bound of the cost curve;

[0008] Taking the maximum total output cost of the power grid as the goal, the output power of the operating cost function is adjusted to construct the upper bound of the cost curve;

[0009] According to the lower bound of the cost curve and the upper bound of the cost curve, a dynamic cost curve is constructed to obtain an output power adjustment range;

[0010] The output power of the resource cluster on the load side of the power grid is adjusted according to the output power adjustment range and actual cost requirements.

[0011] The above scheme first constructs corresponding operating cost functions for different types of generator sets, and realizes the aggregation of multiple resources to meet the grid regulation of new energy access. Then, the lowest total output cost is taken as the goal, and the generator sets with high priority are arranged for adjustment first according to the preset unit priority, and then the generator sets with low priority are considered. The lowest total output cost of the power grid is used as the lower limit of the dynamic cost curve, and the highest total output cost of the power grid is used as the upper limit of the dynamic cost curve, so as to link the economic benefits of the power grid with the output power of the generator set, so as to adjust the power grid cost by adjusting the output power. Finally, according to the output power adjustment range and actual cost requirements, the output power on the load side of the power grid is adjusted. Because the output volatility of new energy such as photovoltaic and wind power is taken into account in the adjustment process, various resources of the power grid can be accurately adjusted to ensure the reasonable allocation of various resources, while reducing the operation cost of the power grid and improving the operation stability.

[0012] In a possible implementation method of the first aspect, an operation cost function corresponding to each generator set is constructed according to historical operation data of the power grid and parameters of power generation equipment, specifically:

[0013] According to all types of generator sets in the power grid, collect the power generation equipment parameters of each generator set;

[0014] Determine the cost calculation data for each type of generator set based on the historical operation data of the power grid;

[0015] Constructing an operation cost function corresponding to each type of generator set according to the power generation equipment parameters and the cost calculation data;

[0016] The operating cost function includes the power generation cost of thermal power units, the power generation cost of wind power units, the power generation cost of photovoltaic units, the operating cost of energy storage units and the flexible load scheduling cost.

[0017] The above scheme first calculates the operating cost function of each generator set according to the parameters of the power generation equipment, and comprehensively considers new energy such as wind power and photovoltaics and traditional energy such as thermal power. By aggregating various resources, the economic optimization problem is converted into a power calculation problem, and the corresponding relationship between power regulation and cost on the load side is accurately reflected, which reduces the calculation complexity of the subsequent model. In the subsequent power adjustment of the power grid, the uncertainty of the output of new energy can be fully considered, thereby realizing precise adjustment of the power grid.

[0018] In a possible implementation method of the first aspect, the power generation cost of the thermal power unit, the power generation cost of the wind power unit, the power generation cost of the photovoltaic unit, the operation cost of the energy storage unit and the flexible load scheduling cost are specifically:

[0019] The power generation cost of the thermal power unit is specifically expressed as follows:

[0020]

[0021] In the formula, F ge,j,t is the power generation cost of the thermal power unit, P ge,j,t is the output power of the jth thermal power unit in period t, a ge,j 、b ge,j 、c ge,j is the power generation consumption characteristic parameter of the jth thermal power unit.

[0022] The power generation cost of the wind turbine is specifically expressed as:

[0023]

[0024] In the formula, F w,t is the power generation cost of the wind turbine, is the actual output cost of the wind turbine, ΔP w,t The penalty cost for wind turbine abandonment, is the electricity price in the real-time market, P w,t is the predicted power of the wind turbine in period t, is the actual power generation of the wind turbine during period t, b w It is the linear relationship coefficient between the actual power generation of the wind turbine and the power generation cost.

[0025] The specific expression of the power generation cost of the photovoltaic unit is:

[0026]

[0027] In the formula, F s,t is the power generation cost of the photovoltaic unit, is the actual output cost of the photovoltaic unit, is the cost of abandoned light from the photovoltaic unit, P s,t is the predicted power of the photovoltaic unit during period t, is the actual power generation of the photovoltaic unit during period t, ΔP s,t is the amount of abandoned light in period t, b s is the linear relationship coefficient between the actual power generation of the photovoltaic unit and the power generation cost, The electricity selling price in the real-time market.

[0028] The operating cost of the energy storage unit is specifically expressed as:

[0029] F en,t =a en |P en,t |2 +b en |P en,t |+c en ;

[0030] In the formula, F en,t is the operating cost of the energy storage unit, P en,t is the storage power of the battery during period t, a en 、b en 、c en It is the battery power parameter.

[0031] The specific expression of the flexible load dispatching cost is:

[0032]

[0033] In the formula, F f,t is the flexible load dispatching cost, To compensate for the load reduction, is the compensation cost of the transferable load, is the compensation cost of the translatable load, is the compensation cost of the rigid load.

[0034] In a possible implementation method of the first aspect, with the goal of minimizing the total output cost of the power grid, the output power of the operating cost function is adjusted by a preset unit priority, and a lower bound of the cost curve is constructed, specifically:

[0035] According to the unit priority, the output power of the operating cost function of the wind turbine and photovoltaic units is adjusted first, and then the output power of the operating cost function of the remaining generator sets is adjusted, with the goal of minimizing the total output cost of the power grid and constructing the lower bound of the cost curve.

[0036] The above scheme sets the output of new energy units such as wind power and photovoltaic power generation to be considered first, taking into account the large uncertainty of new energy output. That is, when the frequency of the power grid fluctuates greatly, the load demand of new energy units is given priority, providing additional power support for new energy units and improving the operational stability of the power grid. In addition, the lower bound of the cost curve is constructed with the goal of minimizing the total output cost of the power grid, ensuring the economy of load-side dispatch and reducing dispatch costs.

[0037] In a possible implementation method of the first aspect, the dynamic cost curve is specifically:

[0038] The dynamic cost curve is specifically expressed as follows:

[0039]

[0040] In the formula, F VPPis the total output cost, T is the preset dispatching period, F ge,j,t is the power generation cost of the thermal power unit in period t, F w,t is the power generation cost of the wind turbine in period t, F s,t is the power generation cost of the photovoltaic unit in period t, F en,t is the operating cost of the energy storage unit during period t, F f,t is the flexible load dispatching cost in period t, N is the total number of generator sets, and j is the jth generator set.

[0041] The second aspect of the present application provides a power regulation system for power grid load-side resources, the system comprising: a cost function construction module, a curve lower limit construction module, a curve upper limit construction module, an output range construction module and an output power regulation module;

[0042] Among them, the cost function construction module is used to construct the operation cost function corresponding to each generator set according to the historical operation data of the power grid and the parameters of the power generation equipment;

[0043] The curve lower bound construction module is used to adjust the output power of the operating cost function through the preset unit priority with the goal of minimizing the total output cost of the power grid, so as to construct the cost curve lower bound;

[0044] The curve upper limit construction module is used to adjust the output power of the operation cost function with the maximum total output cost of the power grid as the goal, and construct the upper limit of the cost curve;

[0045] The output range construction module is used to construct a dynamic cost curve according to the lower bound of the cost curve and the upper bound of the cost curve to obtain the output power adjustment range;

[0046] The output power regulation module is used to adjust the output power of the resource cluster on the load side of the power grid according to the output power regulation range and actual cost requirements.

[0047] In a possible implementation of the second aspect, the cost function construction module includes: an operation cost calculation unit;

[0048] Among them, the operating cost calculation unit is used to collect the power generation equipment parameters of each type of power generation set according to all types of power generation sets in the power grid; determine the cost calculation data of each power generation set according to the historical operation data of the power grid; and construct the operating cost function corresponding to each power generation set according to the power generation equipment parameters and the cost calculation data; wherein the operating cost function includes the power generation cost of thermal power units, the power generation cost of wind power units, the power generation cost of photovoltaic units, the operating cost of energy storage units and the flexible load scheduling cost.

[0049] In a possible implementation of the second aspect, the curve lower bound construction module includes: a minimum cost calculation unit;

[0050] Among them, the minimum cost calculation unit is used to preferentially adjust the output power of the operating cost function of the wind turbine and photovoltaic units according to the unit priority, and then adjust the output power of the operating cost function of the remaining generator sets, with the goal of minimizing the total output cost of the power grid and constructing the lower bound of the cost curve.

[0051] The third aspect of the present application provides a terminal device, which includes: a terminal device including a processor and a memory, the memory storing a computer program, and the processor implementing the steps of a power regulation method for grid load-side resources as described in any one of the embodiments of the present application when executing the computer program.

[0052] A fourth aspect of the present application provides a storage medium, which stores computer-readable program code. When the computer-readable program code is executed, the steps of a power regulation method for power grid load-side resources described in any one of the embodiments of the present application are implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the implementation manner will be briefly introduced below. Obviously, the drawings described below are only some implementation manners of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0054] Figure 1 It is a specific flow chart of a power regulation method for power grid load-side resources provided in a certain embodiment of the present application;

[0055] Figure 2 It is a schematic diagram of the output-cost relationship fitting of a power regulation method for power grid load-side resources provided in a certain embodiment of the present application;

[0056] Figure 3 It is a schematic diagram of a dynamic cost curve of a power regulation method for power grid load-side resources provided in a certain embodiment of the present application;

[0057] Figure 4 It is a specific structural diagram of a power regulation system for power grid load-side resources provided by a certain embodiment of the present application;

[0058] Figure 5 A structural diagram of a terminal device is provided for a certain embodiment of the present application. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0060] It should be understood that the step numbers used in this article are only for the convenience of description and are not intended to limit the order in which the steps are executed.

[0061] First embodiment

[0062] In the context of increasing proportion of new energy consumption, how to consider the frequency fluctuations caused by the access of new energy such as wind power and photovoltaic power, and adjust various resources on the load side of the distribution network to improve the economic efficiency of the power grid is a major problem, especially the output volatility of new energy is more significant than that of traditional energy. How to nonlinearly integrate the resources corresponding to new energy and traditional energy so that the corresponding operating costs are coordinated and unified in a model for scheduling optimization, and reduce the cost of the power grid and improve the operating stability by accurately adjusting the output power of the power grid, is the main research purpose of the embodiment of this application.

[0063] like Figure 1 As shown, Figure 1 A specific flow chart of a power regulation method for power grid load side resources is provided for a certain embodiment of the present application. The power regulation method for power grid load side resources of this embodiment includes steps S1 to S5, which are described in detail as follows:

[0064] Step S1, constructing an operation cost function corresponding to each generator set according to the historical operation data of the power grid and the parameters of the power generation equipment.

[0065] In the embodiment of the present application, all types of generator sets in the power grid are first identified, including traditional generator sets (such as thermal power sets such as gas turbines) and new energy generator sets (such as wind power and photovoltaics). Then the power generation equipment parameters of each generator set are collected. Based on these parameters, the unit cost of the unit under different output conditions can be evaluated. These data lay the foundation for the subsequent cost optimization steps to ensure that the operation and regulation costs of each resource can be accurately reflected.

[0066] Then, the cost calculation data of each generator set is determined by combining the historical operation data of the power grid and the parameters of the power generation equipment. For example, the power generation cost of a thermal power unit usually includes fuel consumption and equipment maintenance costs, while new energy units such as wind power and photovoltaic power generation mainly involve penalty costs for abandoning wind and solar power due to their lower operating costs.

[0067] Then, based on the power generation equipment parameters and the cost calculation data, an operating cost function corresponding to each power generation unit is constructed, including: the power generation cost of thermal power units, the power generation cost of wind power units, the power generation cost of photovoltaic units, the operating cost of energy storage units and the flexible load scheduling cost.

[0068] The power generation cost of the thermal power unit is specifically expressed as follows:

[0069]

[0070] In the formula, F ge,j,t is the power generation cost of the thermal power unit, P ge,j,t is the output power of the jth thermal power unit in period t, a ge,j 、b ge,j 、c ge,j is the characteristic parameter of power generation consumption of the jth thermal power unit, which is related to the performance and energy consumption of the thermal power unit.

[0071] The power generation cost of the wind turbine is specifically expressed as:

[0072]

[0073] In the formula, F w,t is the power generation cost of the wind turbine, is the actual output cost of the wind turbine, ΔP w,t The penalty cost for wind turbine abandonment, is the electricity price in the real-time market, P w,t is the predicted power of the wind turbine in period t, is the actual power generation of the wind turbine during period t, b w It is the linear relationship coefficient between the actual power generation of the wind turbine and the power generation cost, which is related to the performance of the wind turbine. Since the operating cost of the wind turbine is relatively small, the actual output cost can also be ignored.

[0074] The specific expression of the power generation cost of the photovoltaic unit is:

[0075]

[0076] In the formula, F s,t is the power generation cost of the photovoltaic unit, is the actual output cost of the photovoltaic unit, is the cost of abandoned light from the photovoltaic unit, P s,t is the predicted power of the photovoltaic unit during period t, is the actual power generation of the photovoltaic unit during period t, ΔP s,t is the amount of abandoned light in period t, b s is the linear relationship coefficient between the actual power generation of the photovoltaic unit and the power generation cost, which is related to the performance of the photovoltaic unit. is the electricity selling price in the real-time market. Since the operation cost of photovoltaic is relatively small, the actual output cost can also be ignored.

[0077] The operating cost of the energy storage unit is specifically expressed as:

[0078] F en,t =a en |P en,t | 2 +b en |P en,t |+c en ;

[0079] In the formula, F en,t is the operating cost of the energy storage unit, P en,t is the storage power of the battery during period t. When it is positive, the battery discharges, and when it is negative, the battery stores energy; a en 、b en 、c en It is a battery power parameter, which is related to the battery consumption characteristics.

[0080] The specific expression of the flexible load dispatching cost is:

[0081]

[0082] In the formula, F f,t is the flexible load dispatching cost, To compensate for the load reduction, is the compensation cost of the transferable load, is the compensation cost of the translatable load, is the compensation cost of the rigid load.

[0083] The compensation cost of the load that can be reduced is specifically expressed as follows:

[0084]

[0085] In the formula, Whether the load that can be cut during period t is involved in the dispatch is defined as a 0-1 variable, where 1 means that the load can be cut, and 0 means that the load cannot be cut; Unit compensation for load reduction, The amount of load that can be reduced during period t.

[0086] The compensation cost of the transferable load is specifically expressed as:

[0087]

[0088] In the formula, Whether the transferable load in period t participates in the scheduling is defined as a 0-1 variable, where 1 indicates that the load can be transferred, and 0 indicates that the load cannot be transferred; is the unit compensation cost for the transferred load, The amount of load that can be reduced during period t.

[0089] The compensation cost of the translatable load is specifically expressed as:

[0090]

[0091] In the formula, Whether the load that can be shifted during period t participates in the scheduling is defined as a 0-1 variable, where 1 indicates that the load can be shifted, and 0 indicates that the load cannot be shifted; is the unit compensation cost of the translation load, is the load that can be translated during period t.

[0092] The compensation cost of the rigid load is specifically expressed as:

[0093]

[0094] In the formula, Whether the rigid load in period t participates in scheduling is defined as a 0-1 variable, where 1 means that the load can be scheduled accordingly, and 0 means that the load cannot be scheduled accordingly; C fix The loss cost of stopping the entire load. Generally, rigid loads do not participate in scheduling.

[0095] Then the above operating cost functions are integrated to obtain an initial data set of corresponding cost functions for all global generator sets. Based on the initial data set, the output of different types of generator sets can be adjusted to optimize the total cost of the power grid.

[0096] To better illustrate how to adjust the cost of electricity generation by adjusting the cost, Figure 2 A schematic diagram of the output-cost relationship fitting is provided. As shown in the figure, the left side is the input data, which is the cost parameters of various generator sets, the middle is the model adjusting the output of different unit combinations to achieve cost optimization, and in the embodiment of this application, there are 20 different unit combinations; the right side is the output data, which is the final cost optimization strategy for adjusting the output. It can be seen that the greater the output power, the higher the corresponding total cost.

[0097] Step S2, with the goal of minimizing the total output cost of the power grid, the output power of the operating cost function is adjusted through preset unit priorities to construct a lower bound of the cost curve.

[0098] In the embodiment of the present application, wind turbines and photovoltaic units are given the highest priority, and these two types of new energy units are given priority in the unit output adjustment, and then other types of generator sets are considered. This is because the output of new energy has a large uncertainty. When the frequency of the power grid fluctuates greatly, the load demand of the new energy units is given priority, and additional power support is provided to the new energy units, which can significantly improve the operational stability of the power grid.

[0099] The output power of the operating cost function of wind turbines and photovoltaic units is adjusted first, and then the output power of the operating cost function of the remaining generator sets is adjusted. With the goal of minimizing the total output cost of the power grid, the lower bound of the cost curve is constructed to achieve cost control of load-side resources under different power output conditions. In the case of large fluctuations in the power grid frequency, resources are arranged first at the minimum cost to ensure the economy of the system.

[0100] Step S3, taking the maximum total output cost of the power grid as the goal, adjusting the output power of the operating cost function to construct the upper bound of the cost curve.

[0101] In the embodiment of the present application, the maximum total output cost of the power grid is taken as the goal, the maximum cost at each output power is calculated, and the upper bound of the cost curve is constructed.

[0102] Among them, when the power grid operates stably, the cost curve of actual output will be between the upper limit and the lower limit of the cost curve.

[0103] Step S4, constructing a dynamic cost curve according to the lower bound of the cost curve and the upper bound of the cost curve to obtain an output power adjustment range.

[0104] In the embodiment of the present application, a dynamic cost curve of the resource scheduling model is generated by combining the lower bound of the cost curve and the upper bound of the cost curve, and the output power adjustment range is obtained based on the dynamic cost curve. The output power on the load side is adjusted based on the output power adjustment range, so that the grid scheduling can flexibly allocate resources between the lowest and highest costs, and optimize the economic benefits and stability of the overall power system.

[0105] Moreover, the resource scheduling model integrates the operating costs of traditional generators, wind power, photovoltaics, energy storage and flexible loads through dynamic cost curves, coordinates traditional power generation costs with new energy power generation costs in a unified model, and aggregates the regulation power costs of multiple resources in a nonlinear relationship, which greatly reduces the computational load of the model and improves scheduling efficiency.

[0106] Figure 3A schematic diagram of the dynamic cost curve is provided. The red curve in the figure is the upper limit of the cost curve, the green curve is the lower limit of the cost curve, and the middle part of the two curves is the range of actual cost values. Moreover, as the output power on the load side continues to increase, the total output cost of the power grid is also increasing.

[0107] Step S5, adjusting the output power of the resource cluster on the load side of the power grid according to the output power adjustment range and the actual cost requirement.

[0108] In an embodiment of the present application, according to actual cost requirements, various resources on the load side of the power grid are centrally regulated through the output power adjustment range so that the total output cost of the power grid meets the actual cost requirements.

[0109] Implementing the embodiments of the present application has the following beneficial effects:

[0110] The embodiment of the present application first constructs corresponding operating cost functions for different types of generator sets, respectively, to achieve the aggregation of multiple resources to meet the grid regulation situation of new energy access. Then, the lowest total output cost is taken as the goal, and the generator sets with high priority are arranged for adjustment first in combination with the preset unit priority, and then the generator sets with low priority are considered, and the lowest total output cost of the power grid is used as the lower limit of the dynamic cost curve, and the highest total output cost of the power grid is used as the upper limit of the dynamic cost curve, so as to achieve the economic benefits of the power grid and the output power of the generator set. The power grid cost is adjusted by adjusting the output power. Finally, the output power on the load side of the power grid is adjusted according to the output power adjustment range and the actual cost requirements. Because the output volatility of new energy sources such as photovoltaic and wind power is taken into account in the adjustment process, various resources of the power grid can be accurately adjusted to ensure the reasonable allocation of various resources, while reducing the operating cost of the power grid and improving the operating stability.

[0111] Second embodiment

[0112] Furthermore, in order to execute the power regulation system for power grid load-side resources corresponding to the above method embodiment to achieve corresponding functions and technical effects, Figure 4 A structural diagram of a power regulation system for power grid load side resources is provided. For ease of description, only the parts related to this embodiment are shown. The power regulation system for power grid load side resources provided by the embodiment of the present application includes:

[0113] The cost function construction module 201 is used to construct an operation cost function corresponding to each generator set according to the historical operation data of the power grid and the parameters of the power generation equipment.

[0114] In the embodiment of the present application, according to all types of generator sets in the power grid, the power generation equipment parameters of each generator set are collected;

[0115] Determine the cost calculation data for each type of generator set based on the historical operation data of the power grid;

[0116] Constructing an operation cost function corresponding to each type of generator set according to the power generation equipment parameters and the cost calculation data;

[0117] The operating cost function includes the power generation cost of thermal power units, the power generation cost of wind power units, the power generation cost of photovoltaic units, the operating cost of energy storage units and the flexible load scheduling cost.

[0118] The curve lower bound construction module 202 is used to adjust the output power of the operating cost function through preset unit priorities with the goal of minimizing the total output cost of the power grid, so as to construct the lower bound of the cost curve.

[0119] In the embodiment of the present application, wind turbines and photovoltaic units are given the highest priority, and these two types of new energy units are given priority in the unit output adjustment, and then other types of generator sets are considered. This is because the output of new energy has a large uncertainty. When the frequency of the power grid fluctuates greatly, the load demand of the new energy units is given priority, and additional power support is provided to the new energy units, which can significantly improve the operational stability of the power grid.

[0120] The output power of the operating cost function of wind turbines and photovoltaic units is adjusted first, and then the output power of the operating cost function of the remaining generator sets is adjusted. With the goal of minimizing the total output cost of the power grid, the lower bound of the cost curve is constructed to achieve cost control of load-side resources under different power output conditions. In the case of large fluctuations in the power grid frequency, resources are arranged first at the minimum cost to ensure the economy of the system.

[0121] The curve upper limit construction module 203 is used to adjust the output power of the operating cost function with the goal of maximizing the total output cost of the power grid, and construct the upper limit of the cost curve.

[0122] In the embodiment of the present application, the maximum total output cost of the power grid is taken as the goal, the maximum cost at each output power is calculated, and the upper bound of the cost curve is constructed.

[0123] Among them, when the power grid operates stably, the cost curve of actual output will be between the upper limit and the lower limit of the cost curve.

[0124] The output range construction module 204 is used to construct a dynamic cost curve according to the lower limit of the cost curve and the upper limit of the cost curve to obtain the output power adjustment range.

[0125] In the embodiment of the present application, a dynamic cost curve of the resource scheduling model is generated by combining the lower bound of the cost curve and the upper bound of the cost curve, and the output power adjustment range is obtained based on the dynamic cost curve. The output power on the load side is adjusted based on the output power adjustment range, so that the grid scheduling can flexibly allocate resources between the lowest and highest costs, and optimize the economic benefits and stability of the overall power system.

[0126] Moreover, the resource scheduling model integrates the operating costs of traditional generators, wind power, photovoltaics, energy storage and flexible loads through dynamic cost curves, coordinates traditional power generation costs with new energy power generation costs in a unified model, and aggregates the regulation power costs of multiple resources in a nonlinear relationship, which greatly reduces the computational load of the model and improves scheduling efficiency.

[0127] The output power adjustment module 205 is used to adjust the output power of the resource cluster on the load side of the power grid according to the output power adjustment range and the actual cost requirement.

[0128] In an embodiment of the present application, according to actual cost requirements, various resources on the load side of the power grid are centrally regulated through the output power adjustment range so that the total output cost of the power grid meets the actual cost requirements.

[0129] In some embodiments, the cost function building module 201 further includes:

[0130] In the embodiment of the present application, all types of generator sets in the power grid are first identified, including traditional generator sets (such as thermal power sets such as gas turbines) and new energy generator sets (such as wind power and photovoltaics). Then the power generation equipment parameters of each generator set are collected. Based on these parameters, the unit cost of the unit under different output conditions can be evaluated. These data lay the foundation for the subsequent cost optimization steps to ensure that the operation and regulation costs of each resource can be accurately reflected.

[0131] Then, the cost calculation data of each generator set is determined by combining the historical operation data of the power grid and the parameters of the power generation equipment. For example, the power generation cost of a thermal power unit usually includes fuel consumption and equipment maintenance costs, while new energy units such as wind power and photovoltaic power generation mainly involve penalty costs for abandoning wind and solar power due to their lower operating costs.

[0132] Then, based on the power generation equipment parameters and the cost calculation data, an operating cost function corresponding to each power generation unit is constructed, including: the power generation cost of thermal power units, the power generation cost of wind power units, the power generation cost of photovoltaic units, the operating cost of energy storage units and the flexible load scheduling cost.

[0133] The power generation cost of the thermal power unit is specifically expressed as follows:

[0134]

[0135] In the formula, F ge,j,t is the power generation cost of the thermal power unit, P ge,j,t is the output power of the jth thermal power unit in period t, a ge,j 、b ge,j 、c ge,j is the power generation consumption characteristic parameter of the jth thermal power unit.

[0136] The power generation cost of the wind turbine is specifically expressed as:

[0137]

[0138] In the formula, F w,t is the power generation cost of the wind turbine, is the actual output cost of the wind turbine, ΔP w,t The penalty cost for wind turbine abandonment, is the electricity price in the real-time market, P w,t is the predicted power of the wind turbine in period t, is the actual power generation of the wind turbine during period t, b w It is the linear relationship coefficient between the actual power generation of the wind turbine and the power generation cost.

[0139] The specific expression of the power generation cost of the photovoltaic unit is:

[0140]

[0141] In the formula, F s,t is the power generation cost of the photovoltaic unit, is the actual output cost of the photovoltaic unit, is the cost of abandoned light from the photovoltaic unit, P s,t is the predicted power of the photovoltaic unit during period t, is the actual power generation of the photovoltaic unit during period t, ΔP s,t is the amount of abandoned light in period t, b s is the linear relationship coefficient between the actual power generation of the photovoltaic unit and the power generation cost, The electricity selling price in the real-time market.

[0142] The operating cost of the energy storage unit is specifically expressed as:

[0143] F en,t =a en |P en,t | 2 +b en |P en,t |+c en ;

[0144] In the formula, F en,tis the operating cost of the energy storage unit, P en,t is the storage power of the battery during period t, a en 、b en 、c en It is the battery power parameter.

[0145] The specific expression of the flexible load dispatching cost is:

[0146]

[0147] In the formula, F f,t is the flexible load dispatching cost, To compensate for the load reduction, is the compensation cost of the transferable load, is the compensation cost of the translatable load, is the compensation cost for rigid loads.

[0148] Then the above operating cost functions are integrated to obtain an initial data set of corresponding cost functions for all global generator sets. Based on the initial data set, the output of different types of generator sets can be adjusted to optimize the total cost of the power grid.

[0149] Implementing the embodiments of the present application has the following beneficial effects:

[0150] The embodiment of the present application first constructs corresponding operating cost functions for different types of generator sets, respectively, to achieve the aggregation of multiple resources to meet the grid regulation situation of new energy access. Then, the lowest total output cost is taken as the goal, and the generator sets with high priority are arranged for adjustment first in combination with the preset unit priority, and then the generator sets with low priority are considered, and the lowest total output cost of the power grid is used as the lower limit of the dynamic cost curve, and the highest total output cost of the power grid is used as the upper limit of the dynamic cost curve, so as to achieve the economic benefits of the power grid and the output power of the generator set. The power grid cost is adjusted by adjusting the output power. Finally, the output power on the load side of the power grid is adjusted according to the output power adjustment range and the actual cost requirements. Because the output volatility of new energy sources such as photovoltaic and wind power is taken into account in the adjustment process, various resources of the power grid can be accurately adjusted to ensure the reasonable allocation of various resources, while reducing the operating cost of the power grid and improving the operating stability.

[0151] Furthermore, Figure 5 This is a structural diagram of a terminal device provided in one embodiment of the present application. Figure 5 As shown, the terminal device 3 of this embodiment includes: at least one processor 30 (in Figure 5Only one is shown) and a memory 31 and a computer program 32 stored in the memory 31 and executable on the at least one processor. When the processor 30 executes the computer program 32, the steps of a power regulation method for grid load-side resources described in any one of the embodiments of the present application can be implemented.

[0152] The terminal device 3 may be a computing device such as a desktop computer, a cloud server, or a laptop computer. The computing device may include but is not limited to a processor 30 and a memory 31 . Figure 5 This is merely an example of the terminal device 3 and does not constitute a limitation on the terminal device 3 , which may include more or fewer components than those shown in the figure.

[0153] An embodiment of the present application provides a storage medium, which stores computer-readable program codes. When the computer-readable program codes are executed, the steps of the above-mentioned power regulation method for power grid load-side resources are implemented.

[0154] The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the scope of protection of the present application. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A power regulation method for power grid load side resources, characterized in that: include: According to the historical operation data of the power grid and the parameters of the power generation equipment, the operation cost function corresponding to each type of power generation unit is constructed; Taking the lowest total output cost of the power grid as the goal, the output power of the operating cost function is adjusted by the preset unit priority to construct the lower bound of the cost curve; Taking the maximum total output cost of the power grid as the goal, the output power of the operating cost function is adjusted to construct the upper bound of the cost curve; According to the lower bound of the cost curve and the upper bound of the cost curve, a dynamic cost curve is constructed to obtain an output power adjustment range; The output power of the resource cluster on the load side of the power grid is adjusted according to the output power adjustment range and actual cost requirements.

2. The power regulation method for power grid load side resources according to claim 1, characterized in that: The operation cost function corresponding to each generator set is constructed according to the historical operation data of the power grid and the parameters of the power generation equipment, which is specifically: According to all types of generator sets in the power grid, collect the power generation equipment parameters of each generator set; Determine the cost calculation data for each type of generator set based on the historical operation data of the power grid; Constructing an operation cost function corresponding to each type of generator set according to the power generation equipment parameters and the cost calculation data; The operating cost function includes the power generation cost of thermal power units, the power generation cost of wind power units, the power generation cost of photovoltaic units, the operating cost of energy storage units and the flexible load scheduling cost.

3. The power regulation method for power grid load side resources according to claim 2, characterized in that: The power generation cost of the thermal power unit, the power generation cost of the wind power unit, the power generation cost of the photovoltaic unit, the operation cost of the energy storage unit and the flexible load dispatching cost are specifically as follows: The power generation cost of the thermal power unit is specifically expressed as follows: In the formula, F ge,j,t is the power generation cost of the thermal power unit, P ge,j,t is the output power of the jth thermal power unit in period t, a ge,j , b ge,j 、c ge,j is the power generation consumption characteristic parameter of the jth thermal power unit; The power generation cost of the wind turbine is specifically expressed as: In the formula, F w,t is the power generation cost of the wind turbine, is the actual output cost of the wind turbine, ΔP w,t The penalty cost for wind turbine abandonment, is the electricity price in the real-time market, P w,t is the predicted power of the wind turbine in period t, is the actual power generation of the wind turbine during period t, b w is the linear relationship coefficient between the actual power generation of the wind turbine and the power generation cost; The specific expression of the power generation cost of the photovoltaic unit is: In the formula, F s,t is the power generation cost of the photovoltaic unit, is the actual output cost of the photovoltaic unit, is the cost of abandoned light from the photovoltaic unit, P s,t is the predicted power of the photovoltaic unit during period t, is the actual power generation of the photovoltaic unit during period t, ΔP s,t is the amount of abandoned light in period t, b s is the linear relationship coefficient between the actual power generation of the photovoltaic unit and the power generation cost, The electricity selling price in the real-time market; The operating cost of the energy storage unit is specifically expressed as: F en,t =a en |P en,t | 2 +b en |P en,t |+c en ; In the formula, F en,t is the operating cost of the energy storage unit, P en,t is the storage power of the battery during period t, a en , b en 、c en is the battery power parameter; The specific expression of the flexible load dispatching cost is: In the formula, F f,t is the flexible load dispatching cost, To compensate for the reduced load, is the compensation cost of the transferable load, is the compensation cost of the translatable load, is the compensation cost for rigid loads.

4. The power regulation method for power grid load side resources according to claim 1, characterized in that: The goal is to minimize the total output cost of the power grid, adjust the output power of the operating cost function through the preset unit priority, and construct the lower bound of the cost curve, specifically: According to the unit priority, the output power of the operating cost function of the wind turbine and photovoltaic units is adjusted first, and then the output power of the operating cost function of the remaining generator sets is adjusted, with the goal of minimizing the total output cost of the power grid and constructing the lower bound of the cost curve.

5. The power regulation method for power grid load side resources according to claim 1, characterized in that: The dynamic cost curve is specifically: The dynamic cost curve is specifically expressed as follows: In the formula, F VPP is the total output cost, T is the preset dispatching period, F ge,j,t is the power generation cost of the thermal power unit in period t, F w,t is the power generation cost of the wind turbine in period t, F s,t is the power generation cost of the photovoltaic unit in period t, F en,t is the operating cost of the energy storage unit during period t, F f,t is the flexible load dispatching cost in period t, N is the total number of generator sets, and j is the jth generator set.

6. A power regulation system for power grid load side resources, characterized in that: include: A cost function building module, a curve lower limit building module, a curve upper limit building module, an output range building module and an output power adjustment module; Among them, the cost function construction module is used to construct the operation cost function corresponding to each generator set according to the historical operation data of the power grid and the parameters of the power generation equipment; The curve lower bound construction module is used to adjust the output power of the operating cost function through the preset unit priority with the goal of minimizing the total output cost of the power grid, so as to construct the cost curve lower bound; The curve upper limit construction module is used to adjust the output power of the operation cost function with the maximum total output cost of the power grid as the goal, and construct the upper limit of the cost curve; The output range construction module is used to construct a dynamic cost curve according to the lower bound of the cost curve and the upper bound of the cost curve to obtain the output power adjustment range; The output power regulation module is used to adjust the output power of the resource cluster on the load side of the power grid according to the output power regulation range and actual cost requirements.

7. The power regulation system for power grid load side resources according to claim 6, characterized in that: The cost function building module includes: an operation cost calculation unit; Among them, the operating cost calculation unit is used to collect the power generation equipment parameters of each type of power generation set according to all types of power generation sets in the power grid; determine the cost calculation data of each power generation set according to the historical operation data of the power grid; construct the operating cost function corresponding to each power generation set according to the power generation equipment parameters and the cost calculation data; wherein the operating cost function includes the power generation cost of thermal power units, the power generation cost of wind power units, the power generation cost of photovoltaic units, the operating cost of energy storage units and the flexible load scheduling cost.

8. The power regulation system for power grid load side resources according to claim 6, characterized in that: The curve lower bound construction module includes: a minimum cost calculation unit; Among them, the minimum cost calculation unit is used to preferentially adjust the output power of the operating cost function of the wind turbine and photovoltaic units according to the unit priority, and then adjust the output power of the operating cost function of the remaining generator sets, with the goal of minimizing the total output cost of the power grid and constructing the lower bound of the cost curve.

9. A terminal device, characterized in that: It comprises a processor and a memory, the memory stores a computer program, and when the processor executes the computer program, it implements the steps of a power regulation method for power grid load side resources as described in any one of claims 1 to 5.

10. A storage medium, characterized in that: The storage medium stores computer-readable program codes, which, when executed, implement the steps of a power regulation method for power grid load-side resources described in any one of claims 1 to 5.

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