Operation control method and device of dynamic energy system, electronic equipment and medium

Abstract

The invention relates to an operation control method and device of a dynamic energy system, electronic equipment and a medium, and the method comprises the steps: obtaining the current operation parameters of the dynamic energy system and the operation parameters of a power grid; matching a corresponding energy control strategy based on the current environment parameter, the current operation parameter and the power grid operation parameter; and calculating target operation parameters of the dynamic energy system under the energy control strategy by using a pre-constructed operation control model so as to perform operation control on a wind turbine generator, a photovoltaic power station, a storage battery, a thermal power generating unit and / or a pumped storage unit in the dynamic energy system by using the target operation parameters. Therefore, the technical problem that the final operation control scheme cannot meet the environmental protection requirement and the economic requirement at the same time due to the fact that the environmental factors are not added into the control operation constraint in the related technology is solved.

Description

Technical Field

[0001] The present application relates to the technical field of circuit devices or systems for power supply or distribution, and in particular to an operation control method, device, electronic equipment and medium for a dynamic energy system. Background Art

[0002] Non-renewable energy, represented by fossil fuels, still plays a major role in ensuring the country's electricity load. However, with the vigorous development of renewable energy, renewable energy, primarily hydropower, wind power, and solar power, is playing an increasingly important role in the power grid and holds an irreplaceable position in the pursuit of a green and low-carbon economy. While wind and solar energy offer advantages such as clean and green energy, short infrastructure lifecycles, and flexible installation scale, their output volatility, intermittency, and difficulty in forecasting hinder their widespread adoption.

[0003] In related technologies, energy system research remains at the stage of optimizing the objective function using optimization algorithms, and lacks integration with the environment, which makes the final operation control plan unable to meet both environmental protection needs and economic needs at the same time, and urgently needs to be improved. Summary of the Invention

[0004] The present application provides an operation control method, device, electronic device and medium for a dynamic energy system to solve the technical problem in related technologies that environmental factors are not included in the control operation constraints, so that the final operation control solution cannot meet both environmental protection needs and economic needs.

[0005] The first aspect of the present application provides an operation control method for a dynamic energy system, wherein the dynamic energy system is composed of a wind turbine, a photovoltaic power station, a battery, a thermal power unit and a pumped storage unit, wherein the method includes the following steps: obtaining the current operating parameters and the grid operating parameters of the dynamic energy system; matching the corresponding energy control strategy based on the current environmental parameters, the current operating parameters and the grid operating parameters; using a pre-built operation control model to calculate the target operating parameters of the dynamic energy system under the energy control strategy, so as to use the target operating parameters to perform operation control of the wind turbine, photovoltaic power station, battery, thermal power unit and / or pumped storage unit in the dynamic energy system.

[0006] According to the above technical means, the energy control strategy can be matched first in combination with the environmental parameters, the current operating parameters of the dynamic energy system and the power demand, and then the target operating parameters of each unit in the dynamic energy system under the corresponding energy control strategy can be calculated using the operation control model to realize the integrated control of wind turbines, photovoltaic power stations, batteries, thermal power units and pumped storage units. By combining environmental factors, the energy control can be optimized. On the basis of meeting the daily power grid, reasonable control strategies can be used to adjust the operation mode of the dynamic energy system, which not only meets the load needs of users, but also makes the dynamic energy operation more economical and protects the surrounding environment.

[0007] Optionally, in one embodiment of the present application, the matching of the corresponding energy control strategy based on the current environmental parameters, the current operating parameters and the grid operating parameters includes: determining the grid load demand of the dynamic energy system based on the grid operating parameters; judging the current wind and light status of the environment in which the dynamic energy system is located based on the current environmental parameters; and matching the energy control strategy in combination with the current wind and light status and the grid load demand.

[0008] According to the above-mentioned technical means, the embodiments of the present application can combine the volatility of wind and solar power to realize dynamic matching of energy control strategies, and then determine subsequent target operating parameters under the constraints of the energy control strategy, so as to reduce environmental pollution and reduce power supply costs while ensuring the load demand of the power grid.

[0009] Optionally, in one embodiment of the present application, before using a pre-constructed operation control model to calculate the target operating parameters of the dynamic energy system under the energy control strategy, it also includes: constructing output models of the wind turbine, photovoltaic power station, battery, thermal power unit and pumped storage unit respectively; constructing a cost objective function of the dynamic energy system; constructing a carbon emission objective function of the carbon emission penalty cost of the dynamic energy system; and constructing the operation control model in combination with the cost objective function, the carbon emission objective function and the constraints of the dynamic energy system.

[0010] According to the above-mentioned technical means, the embodiment of the present application can utilize the output models, cost objective functions, carbon emission objective functions and constraints of wind turbines, photovoltaic power stations, batteries, thermal power units and pumped storage units to construct an operation control model, so as to obtain the target operating parameters by solving the model.

[0011] Optionally, in one embodiment of the present application, the target operating parameters of the dynamic energy system under the energy control strategy are calculated using a pre-built operation control model, including: determining the operating units and / or power-off units in the dynamic energy system based on the energy control strategy; and inputting the current operating parameters of the operating units into the operation control model to obtain the target operating parameters.

[0012] According to the above technical means, the embodiment of the present application can determine the units to be kept running and / or the units to be shut down according to the energy control strategy, so as to control the shut down units to stop running and control the units to be kept running to continue running according to the target operating parameters.

[0013] Optionally, in one embodiment of the present application, it also includes: obtaining the actual operating parameters and actual grid operating parameters of the dynamic energy system under the control of the target operating parameters; judging whether the target operating parameters meet the preset energy supply conditions based on the actual operating parameters and the actual grid operating parameters; if the target operating parameters do not meet the preset functional conditions, optimizing the operation control model based on the actual operating parameters and the actual grid operating parameters.

[0014] According to the above technical means, the embodiment of the present application can determine whether the current power supply can meet the power supply load demand after a period of time, and if it does not meet the demand, perform model optimization to ensure power supply.

[0015] The second aspect of the present application provides an operation control device for a dynamic energy system, wherein the dynamic energy system is composed of a wind turbine, a photovoltaic power station, a battery, a thermal power unit and a pumped storage unit, wherein the device includes: a first acquisition module, used to obtain the current operating parameters and grid operating parameters of the dynamic energy system; a matching module, used to match the corresponding energy control strategy based on the current environmental parameters, the current operating parameters and the grid operating parameters; a control module, used to use a pre-built operation control model to calculate the target operating parameters of the dynamic energy system under the energy control strategy, so as to use the target operating parameters to perform operation control of the wind turbine, photovoltaic power station, battery, thermal power unit and / or pumped storage unit in the dynamic energy system.

[0016] Optionally, in one embodiment of the present application, the matching module includes: a first determination unit, used to determine the grid load demand of the dynamic energy system based on the grid operating parameters; a judgment unit, used to judge the current wind and light status of the environment in which the dynamic energy system is located based on the current environmental parameters; and a matching unit, used to match the energy control strategy in combination with the current wind and light status and the grid load demand.

[0017] Optionally, in one embodiment of the present application, it also includes: a first construction module, used to construct the output models of the wind turbine, photovoltaic power station, battery, thermal power unit and pumped storage unit respectively; a second construction module, used to construct the cost objective function of the dynamic energy system; a third construction module, used to construct the carbon emission objective function of the carbon emission penalty cost of the dynamic energy system; a fourth construction module, used to combine the cost objective function, the carbon emission objective function and the constraints of the dynamic energy system to construct the operation control model.

[0018] Optionally, in one embodiment of the present application, the control module includes: a second determination unit, used to determine the operating units and / or power-off units in the dynamic energy system based on the energy control strategy; and a calculation unit, used to input the current operating parameters of the operating units into the operation control model to obtain the target operating parameters.

[0019] Optionally, in one embodiment of the present application, it also includes: a second acquisition module, used to obtain the actual operating parameters and actual grid operating parameters of the dynamic energy system under the control of the target operating parameters; a judgment module, used to judge whether the target operating parameters meet the preset energy supply conditions based on the actual operating parameters and the actual grid operating parameters; an optimization module, used to optimize the operation control model based on the actual operating parameters and the actual grid operating parameters when the target operating parameters do not meet the preset functional conditions.

[0020] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the operation control method of the dynamic energy system as described in the above embodiment.

[0021] A fourth aspect of the present application provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the operation control method of the dynamic energy system as described in the above embodiment.

[0022] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned operation control method of the dynamic energy system.

[0023] The embodiment of the present application can first match the energy control strategy in combination with environmental parameters, the current operating parameters of the dynamic energy system and the power demand, and then use the operation control model to calculate the target operating parameters of each unit in the dynamic energy system under the corresponding energy control strategy, so as to realize the integrated control of wind turbines, photovoltaic power stations, batteries, thermal power units and pumped storage units, so as to optimize energy control by combining environmental factors. On the basis of meeting the daily power grid, reasonable control strategies are used to adjust the operation mode of the dynamic energy system, which not only meets the load needs of users, but also makes the dynamic energy operation more economical and protects the surrounding environment. Thus, the technical problem in the related art that environmental factors are not added to the control operation constraints, so that the final operation control scheme cannot meet both environmental protection needs and economic needs at the same time, is solved.

[0024] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0026] Figure 1 A schematic diagram of the principle of an operation control method of a dynamic energy system provided in one embodiment of the present application;

[0027] Figure 2 This is a flow chart of an operation control method of a dynamic energy system provided according to an embodiment of the present application;

[0028] Figure 3 A flowchart of an operation control method of a dynamic energy system provided by an embodiment of the present application;

[0029] Figure 4 A schematic diagram of the output of various energy sources in scenario 1 provided by an embodiment of the present application;

[0030] Figure 5 A schematic diagram of the output of various energy sources in scenario 2 provided by an embodiment of the present application;

[0031] Figure 6 A schematic diagram of the energy output of scenario 3 provided by an embodiment of the present application;

[0032] Figure 7 This is a schematic structural diagram of an operation control device for a dynamic energy system provided according to an embodiment of the present application;

[0033] Figure 8 A schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0034] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0035] The following describes the operation control method, device, electronic device and medium of the dynamic energy system of the embodiment of the present application with reference to the accompanying drawings. In response to the technical problem that the related art mentioned in the above background technology does not add environmental factors to the control operation constraints, so that the final operation control scheme cannot simultaneously meet the environmental protection needs and economic needs, the present application provides an operation control method for a dynamic energy system, in which the energy control strategy can be matched in combination with the environmental parameters, the current operating parameters of the dynamic energy system and the power demand, and then the operation control model is used to calculate the target operating parameters of each unit in the dynamic energy system under the corresponding energy control strategy, so as to achieve the integrated control of wind turbines, photovoltaic power stations, batteries, thermal power units and pumped storage units, so as to optimize the energy control by combining environmental factors. On the basis of meeting the daily power grid, a reasonable control strategy is used to adjust the operation mode of the dynamic energy system, so as to meet the user's load needs, make the dynamic energy operation more economical, and protect the surrounding environment. Thus, the technical problem that the related art does not add environmental factors to the control operation constraints, so that the final operation control scheme cannot simultaneously meet the environmental protection needs and economic needs is solved.

[0036] First, the structure of the dynamic energy system of the embodiment of the present application is described. Figure 1 As shown, the dynamic energy system of the embodiment of the present application may include wind turbines, photovoltaic power stations, batteries, thermal power units and pumped storage units to achieve multi-energy supply.

[0037] Based on the above structure, the operation control method of the dynamic energy system in the embodiment of the present application can reasonably set an objective function that conforms to reality, and then use the multi-objective particle swarm optimization algorithm to solve the objective function and obtain the optimal operation mode of the dynamic energy system under the constraints of various constraints.

[0038] Specifically, Figure 2 A flow chart of an operation control method for a dynamic energy system provided in an embodiment of the present application.

[0039] like Figure 2 As shown, the operation control method of the dynamic energy system, the dynamic energy system is composed of a wind turbine, a photovoltaic power station, a battery, a thermal power unit and a pumped storage unit, wherein the method includes the following steps:

[0040] In step S201, current operating parameters of the dynamic energy system and power grid operating parameters are obtained.

[0041] Among them, the current operating parameters may include: power generation, such as the amount of electricity generated by solar panels, wind turbines, etc.; energy storage status, the charge and discharge status and remaining capacity of batteries or other energy storage devices; load conditions, the total amount of load being powered by the system; efficiency indicators, the efficiency of the system in converting and transmitting energy, etc.

[0042] Based on the current operating parameters, the embodiment of the present application can calculate data such as the current power supply amount to facilitate subsequent operating parameter control.

[0043] Grid operating parameters may include: grid frequency, small fluctuations around 50Hz or 60Hz can indicate the supply and demand balance; voltage level, the voltage value of each node in the grid, reflecting the stability and quality of the grid; load demand, the current total power demand of the grid; transmission loss, the energy loss during power transmission; renewable energy penetration, the proportion of renewable energy sources, etc.

[0044] Through the grid operating parameters, the embodiment of the present application can calculate the current power supply demand to facilitate the subsequent control of the dynamic energy system.

[0045] In step S202, a corresponding energy control strategy is matched based on current environmental parameters, current operating parameters, and grid operating parameters.

[0046] During the actual implementation process, the embodiment of the present application can obtain environmental parameters around the dynamic energy system, such as wind parameters, light intensity parameters, etc. Combined with the current environmental parameters, the embodiment of the present application can determine whether the clean energy of wind turbines and photovoltaic power stations can be used, and based on the current operating parameters and power grid operating parameters, determine to match the corresponding energy control strategy under the premise of maximizing the utilization of clean energy.

[0047] Optionally, in one embodiment of the present application, the corresponding energy control strategy is matched based on the current environmental parameters, current operating parameters and grid operating parameters, including: determining the grid load demand of the dynamic energy system based on the grid operating parameters; judging the current wind and light status of the environment in which the dynamic energy system is located based on the current environmental parameters; and matching the energy control strategy in combination with the current wind and light status and grid load demand.

[0048] In some embodiments, a time period for target evaluation can be determined, such as hours, days, months, or years, and relevant grid operation parameters within the time period can be collected, including but not limited to: power generation, the amount of electricity generated by different power sources (such as thermal power, hydropower, nuclear power, wind power, solar power, etc.); transmission loss, energy loss during power transmission; load conditions, electricity consumption information in various regions; grid frequency and voltage levels, which can indirectly reflect the supply and demand balance, but are not directly used for load demand calculations, etc.

[0049] Add up the power generated by all power sources during this time period to get the total power supply. Note that the corresponding transmission losses must be subtracted from the actual output of each power source.

[0050] View the load curve for that time period to understand peaks and valleys in electricity demand at different times. Load curves can be obtained from historical data and show the changing patterns of electricity demand over time.

[0051] In order to ensure grid stability and respond to emergencies, a certain amount of spare capacity can be reserved in actual operations. Therefore, this additional power demand should also be taken into account when calculating load demand.

[0052] The final grid load demand can be approximated by the following formula:

[0053] Load demand = total power supply + transmission losses - any unused surplus power.

[0054] Based on the grid load demand, the embodiment of the present application can combine environmental parameters to achieve strategy matching, for example:

[0055] Strategy 1: Under conditions of wind and light, when wind power generation and photovoltaic power generation can meet the grid load demand, that is, when the amount of electricity provided by wind power generation and photovoltaic power generation only meets the grid load demand, wind turbines and photovoltaic units will be operated, and batteries, pumped storage, and thermal power units will be shut down.

[0056] Strategy 2: Under conditions of wind and light, when wind power generation and photovoltaic power generation are greater than the grid load demand and the remaining output power is less than or equal to the storage capacity of pumped storage (pumped storage) on the basis of meeting the grid load demand, the wind turbines, photovoltaic turbines, and pumped storage (pumped storage) will operate, and the batteries and thermal power units will be shut down.

[0057] Strategy 3: Under conditions of wind and light, when wind power generation and photovoltaic power generation are greater than the grid load demand, and on the basis of meeting the grid load demand, there is still surplus output power on the basis of pumped storage (pumped storage), then the wind turbines, photovoltaic turbines, pumped storage (pumped storage), and batteries (charging) will be operated, and the thermal power units will be shut down.

[0058] Strategy 4: Under conditions of wind and light, when wind power generation and photovoltaic power generation cannot meet the grid load demand, wind turbines, photovoltaic turbines, and pumped storage turbines are operated, while batteries and thermal power units are shut down.

[0059] Strategy 5: Under conditions of wind and light, when wind power generation, photovoltaic power generation and pumped storage cannot meet the grid load demand, wind turbines, photovoltaic turbines, pumped storage turbines and batteries will be put into operation, and thermal power units will be shut down.

[0060] Strategy 6: Under conditions of wind and light, when wind power generation, photovoltaic power generation, pumped storage, and batteries cannot meet the grid load demand, wind turbines, photovoltaic turbines, pumped storage turbines, batteries, and thermal power units will be put into operation.

[0061] Strategy 7: When there is wind but no sun, and wind power generation and pumped storage can meet the grid load demand, wind turbines and pumped storage units will be operated, while photovoltaic units, batteries, and thermal power units will be shut down.

[0062] Strategy 8: When there is wind but no sun, and wind power generation and pumped storage cannot meet the grid load demand, wind turbines, pumped storage units, and batteries will be put into operation, while photovoltaic units and thermal power units will be shut down.

[0063] Strategy 9: When there is wind but no sun, and wind power generation, pumped storage, and batteries cannot meet the grid load demand, wind turbines, pumped storage, batteries, and thermal power units will be operated, and photovoltaic units will be shut down.

[0064] Strategy 10: Under conditions of no wind but light, when photovoltaic power generation and pumped storage can meet the grid load demand, photovoltaic units and pumped storage units are operated, and wind turbines, batteries, and thermal power units are shut down.

[0065] Strategy 11: Under conditions of no wind but only sunlight, when photovoltaic power generation and pumped storage cannot meet the grid load demand, photovoltaic units, pumped storage units, and batteries will be put into operation, while wind turbines and thermal power units will be shut down.

[0066] Strategy 12: Under conditions of no wind but strong sun, when photovoltaic power generation, pumped storage, and batteries cannot meet the grid load demand, photovoltaic units, pumped storage units, batteries, and thermal power units will be operated, and wind turbines will be shut down.

[0067] In step S203, the target operating parameters of the dynamic energy system under the energy control strategy are calculated using the pre-built operation control model, so as to use the target operating parameters to control the operation of the wind turbines, photovoltaic power stations, batteries, thermal power units and / or pumped storage units in the dynamic energy system.

[0068] As a possible implementation method, the embodiment of the present application can use the operation control model to calculate the target operating parameters under the corresponding energy control strategy, so as to control the wind turbines, photovoltaic power stations, batteries, thermal power units and / or pumped storage units to shut down or operate according to the target operating parameters.

[0069] Optionally, in one embodiment of the present application, before using a pre-built operation control model to calculate the target operating parameters of the dynamic energy system under the energy control strategy, it also includes: constructing output models of wind turbines, photovoltaic power stations, batteries, thermal power units and pumped storage units respectively; constructing a cost objective function of the dynamic energy system; constructing a carbon emission objective function of the carbon emission penalty cost of the dynamic energy system; and constructing an operation control model by combining the cost objective function, the carbon emission objective function and the constraints of the dynamic energy system.

[0070] First, the embodiment of the present application can perform output modeling of the generator set.

[0071] Photovoltaic power generation modeling:

[0072] Photovoltaic power output power:

[0073]

[0074] Among them, P e is the rated power, S (t) is the actual light intensity at time t, k is the power temperature coefficient, T c(t) is the operating temperature at time t, T f is the photovoltaic cell temperature under standard operating conditions (manufacturer specified).

[0075] Wind power modeling:

[0076] Wind power output power:

[0077]

[0078] Among them, P W is the output power, α is the air density, S is the area swept by the fan blades, and v is the wind speed.

[0079] Battery charging and discharging modeling:

[0080] The relationship between battery voltage and current:

[0081]

[0082] Among them, P X is the battery power, E is the total battery potential, and R is the total battery resistance.

[0083] Pumped storage unit power generation modeling:

[0084] Pumped storage unit power output:

[0085] P C =βQgHχ,

[0086] Among them, P C is the output power of the pumped storage unit, β is the fluid density, Q is the flow rate, g is the acceleration of gravity, H is the water level, and χ is the unit efficiency.

[0087] Thermal power generation modeling:

[0088] P q =(-0.0018u1P q +0.9u2-0.15u3)·t,

[0089] P R =(0.073u1-0.016)P q t-0.1P R t,

[0090] Among them, P q is the drum pressure, P R is the output power of the thermal power unit, u1 is the opening of the steam regulating valve, u2 is the opening of the fuel regulating valve, u3 is the opening of the water regulating valve, and t is a certain moment.

[0091] Second, cost modeling.

[0092] Thermal power unit operation cost modeling:

[0093]

[0094] in, is the output of the thermal power unit in the i-th period; a, b, c are the traditional coal-fired cost factors.

[0095] Battery loss cost modeling:

[0096] Batteries have a short cycle life and generally need to be replaced after 1 to 3 years of use. Therefore, in actual operation, the battery life loss must be considered and its loss cost calculated. Battery loss is mainly affected by the depth of discharge and the number of fatigue cycles. The battery loss cost calculation function is as follows:

[0097]

[0098] Where W is the total cost of the battery; is the battery loss cost factor.

[0099] Modeling of wind / solar curtailment penalty costs:

[0100] In order to reduce the use of fossil energy and increase the share of wind and solar energy, a wind / solar abandonment penalty cost calculation model is introduced to ensure the high penetration ratio requirements of wind and solar energy. The penalty cost is calculated according to the following formula.

[0101]

[0102] Where λ is the penalty factor for curtailing wind / solar costs; P W is the wind / solar power abandoned in the i-th period.

[0103] Pumped storage unit operation cost modeling:

[0104]

[0105] Among them, β is the operating cost factor of the pumped storage unit.

[0106] Furthermore, the embodiment of the present application can establish an operating objective function of a dynamic energy system.

[0107] A mathematical model for the total operating cost of a dynamic energy system consisting of wind, solar, thermal, and pumped storage is established, with the goal of minimizing the total operating cost of the dynamic energy system. The objective function is as follows:

[0108]

[0109] Where i is the operating time period, i = 1, 2, ..., N; N is the total operating time period; W i T ,W i B ,W i PC ,W i LS are the operating cost of the thermal power unit, battery loss cost, wind / solar abandonment penalty cost and pumped storage unit operating cost in the i-th period respectively.

[0110] A mathematical model of carbon emission penalty cost is established, with the minimum carbon emission penalty cost as the objective function. The objective function is as follows:

[0111]

[0112] in, is the carbon emission penalty cost conversion coefficient, which is 0.00598 yuan / kWh.

[0113] Furthermore, the embodiments of the present application can construct constraints for a dynamic energy system.

[0114] Constraints of thermal power units: The output constraints of thermal power units are as follows:

[0115]

[0116] in, They are the minimum and maximum output of thermal power units respectively.

[0117] The constraints of wind power and photovoltaic units are as follows:

[0118]

[0119] in, are the maximum outputs of wind and solar power respectively.

[0120] Battery constraints, the battery power constraints are as follows:

[0121]

[0122] in, are the minimum and maximum remaining capacity of the battery, W X The actual battery capacity.

[0123] Constraints of pumped storage units: The output constraints of pumped storage units are as follows:

[0124]

[0125] in, They are the minimum and maximum output of the pumped storage unit respectively.

[0126] Based on the above content, the embodiment of the present application can construct an operation control model to output target operation parameters.

[0127] Optionally, in one embodiment of the present application, a pre-built operation control model is used to calculate the target operating parameters of the dynamic energy system under the energy control strategy, including: determining the operating units and / or power-off units in the dynamic energy system based on the energy control strategy; inputting the current operating parameters of the operating units into the operation control model to obtain the target operating parameters.

[0128] It is understandable that since the multi-objective particle swarm optimization (MOPSO) algorithm has the advantages of short computing time, fast convergence speed, good application to continuous variables and the ability to quickly screen out the optimal compromise target from different targets, this paper adopts the MOPSO algorithm for multi-objective operation optimization solution.

[0129] After determining the outage unit, the embodiment of the present application can use the current operating parameters of the remaining units to perform model calculations and solve the model through a multi-objective particle swarm algorithm to obtain target operating parameters.

[0130] Optionally, in one embodiment of the present application, it also includes: obtaining the actual operating parameters and actual grid operating parameters of the dynamic energy system under the control of the target operating parameters; judging whether the target operating parameters meet the preset energy supply conditions based on the actual operating parameters and the actual grid operating parameters; if the target operating parameters do not meet the preset functional conditions, optimizing the operation control model based on the actual operating parameters and the actual grid operating parameters.

[0131] After using the target operating parameters to control the operation of the dynamic energy system, the embodiment of the present application can update the operating parameters and the grid operating parameters to reconfirm whether the current power supply meets the grid load demand. If it does, it is determined that the calculation is qualified. If it does not, the model can be adjusted to achieve operation optimization of the dynamic energy system through continuous model optimization.

[0132] Combine Figures 3 to 6 As shown, the working principle of the operation control method of the dynamic energy system of the embodiment of the present application is described in detail with an embodiment.

[0133] like Figure 3 As shown, the embodiment of the present application may include the following steps:

[0134] Step S301: Preset the operating parameters of the wind turbine, photovoltaic power station, battery, thermal power unit, pumped storage unit and power grid operating parameters within the operating period.

[0135] Step S302: calling a pre-built dynamic energy system model: a dynamic energy system operation cost objective function, a carbon emission penalty cost objective function and constraint conditions.

[0136] Step S303: By obtaining the operating parameters of the wind turbine, photovoltaic power station, battery, thermal power unit, pumped storage unit and the grid operating parameters, the target operating parameters of the dynamic energy system operating cost objective function and the carbon emission penalty cost objective function are obtained under the constraints.

[0137] Before performing model calculations, embodiments of the present application may also determine an operational control strategy based on environmental factors. The dynamic energy system operational control strategy primarily regulates the operation of wind power generation, photovoltaic power generation, batteries, pumped storage, and thermal power generation. Based on real-time weather changes and grid load conditions, the output power of each unit is rationally allocated, using different priorities. Wind power generation, photovoltaic power generation, and pumped storage power generation are prioritized first, followed by battery power generation, and finally thermal power generation. The dynamic energy system requires that grid load power allocation be greater than the power of wind power generation or photovoltaic power generation alone.

[0138] Step S204: Generate corresponding control instructions based on the target operating parameters and send them to the wind turbine generator set, photovoltaic power station, battery, thermal power generator set, and pumped storage generator set.

[0139] Taking a certain energy base as an example, the mathematical model, objective function and control strategy are edited into software algorithm. The capacity configuration of each power source of a certain energy base is shown in Table 1. The cost factors of traditional coal burning are a=1.1, b=1.3, c=1.5, and the battery loss cost factor is The wind / solar curtailment cost penalty factor λ = 0.85, the pumped storage unit operating cost factor β = 0.9, and the grid load is 35,000 MW. Three scenarios are compared in this example: Scenario 1: wind power generation, photovoltaic power generation, and thermal power generation; Scenario 2: wind power generation, photovoltaic power generation, thermal power generation, and batteries; and Scenario 3: wind power generation, photovoltaic power generation, thermal power generation, batteries, and pumped storage. The installed capacity and its proportion are shown in Table 1, which shows the installed capacity proportion of each power source type at an energy base.

[0140] Table 1

[0141]

[0142]

[0143] Scenario 1: If Figure 4 As shown, from 0:00 to 24:00, wind power generation, photovoltaic power generation and thermal power generation meet the load demand of the power grid. From 0:00 to 6:00, wind power generation and photovoltaic power generation are the main sources. From 8:00 to 18:00, photovoltaic power generation reduces the output of thermal power generation.

[0144] Scenario 2: If Figure 5 As shown, from 0 to 6 o'clock, the battery discharges, reducing the output of thermal power generation. From 8 to 16 o'clock, it is mainly thermal power generation, photovoltaic power generation and wind power generation, which generate excess electricity to charge the battery. From 22 to 24 o'clock, as the grid load decreases, it is mainly wind power generation and thermal power generation.

[0145] Scenario 3: If Figure 6 As shown, from 0 to 8 o'clock, the addition of pumped storage significantly reduced the output of thermal power generation and reduced the combustion of fossil fuels. From 10 to 14 o'clock, thermal power generation, photovoltaic power generation and wind power generation were sufficient to meet the needs of the grid load, generating excess electricity to charge batteries and pumped storage. From 16 to 24 o'clock, with the addition of pumped storage and batteries, not only did the grid meet its needs, but the output of thermal power generation was also reduced.

[0146] The comparison of the operating costs of the dynamic energy system for different scenarios is shown in Table 2, where Table 2 is a cost table for each scenario.

[0147] Table 2

[0148]

[0149] Based on the comparison under different scenarios, it can be concluded that the operation of the wind-solar-thermal-storage-pumped storage dynamic energy system not only meets the load demand of the power grid, but also ensures the complementary nature of multiple energy sources in the power system, making the operation safer and more economical.

[0150] In summary, the present embodiment establishes a multi-energy generation component, encompassing not only thermal power generation but also wind power generation, photovoltaic power generation, and pumped storage, making the entire dynamic energy system more stable. By utilizing a reasonable control strategy, the dynamic energy system can be operated more economically and avoid unnecessary waste.

[0151] According to the operation control method of the dynamic energy system proposed in the embodiment of the present application, the energy control strategy can be matched first by combining environmental parameters, the current operating parameters of the dynamic energy system and the power demand, and then the target operating parameters of each unit in the dynamic energy system under the corresponding energy control strategy can be calculated using the operation control model to achieve the integrated control of wind turbines, photovoltaic power stations, batteries, thermal power units and pumped storage units, so as to optimize energy control by combining environmental factors. On the basis of meeting the daily power grid, a reasonable control strategy is used to adjust the operation mode of the dynamic energy system, which not only meets the user's load needs, but also makes the dynamic energy operation more economical and protects the surrounding environment. Thus, the technical problem in the related art that the environmental factors are not added to the control operation constraints, so that the final operation control scheme cannot meet both environmental protection needs and economic needs at the same time, is solved.

[0152] Next, an operation control device for a dynamic energy system proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0153] Figure 7 It is a block diagram of an operation control device of a dynamic energy system according to an embodiment of the present application.

[0154] like Figure 7 As shown, the operation control device 10 of the dynamic energy system includes: the dynamic energy system is composed of a wind turbine, a photovoltaic power station, a battery, a thermal power unit and a pumped storage unit, wherein the device 10 includes: a first acquisition module 100, a matching module 200 and a control module 300.

[0155] Specifically, the first acquisition module 100 is used to acquire current operating parameters of the dynamic energy system and power grid operating parameters.

[0156] The matching module 200 is used to match the corresponding energy control strategy based on the current environmental parameters, the current operating parameters and the grid operating parameters.

[0157] The control module 300 is used to calculate the target operating parameters of the dynamic energy system under the energy control strategy using a pre-built operation control model, so as to use the target operating parameters to control the operation of wind turbines, photovoltaic power stations, batteries, thermal power units and / or pumped storage units in the dynamic energy system.

[0158] Optionally, in one embodiment of the present application, the matching module 200 includes: a first determination unit, a judgment unit, and a matching unit.

[0159] The first determining unit is configured to determine the grid load demand of the dynamic energy system based on the grid operating parameters.

[0160] The judgment unit is used to judge the current wind and solar status of the environment in which the dynamic energy system is located based on the current environmental parameters.

[0161] The matching unit is used to match the energy control strategy based on the current wind and solar status and grid load demand.

[0162] Optionally, in one embodiment of the present application, the operation control device 10 of the dynamic energy system further includes: a first building module, a second building module, a third building module and a fourth building module.

[0163] Among them, the first construction module is used to construct the output models of wind turbines, photovoltaic power stations, batteries, thermal power units and pumped storage units respectively.

[0164] The second building block is used to construct the cost objective function of the dynamic energy system.

[0165] The third building block is used to construct the carbon emission objective function of the carbon emission penalty cost of the dynamic energy system.

[0166] The fourth building block is used to construct an operation control model by combining the cost objective function, the carbon emission objective function and the constraints of the dynamic energy system.

[0167] Optionally, in one embodiment of the present application, the control module 300 includes: a second determination unit and a calculation unit.

[0168] The second determining unit is configured to determine the operating units and / or shut-down units in the dynamic energy system based on the energy control strategy.

[0169] The calculation unit is used to input the current operating parameters of the operating unit into the operation control model to obtain the target operating parameters.

[0170] Optionally, in one embodiment of the present application, the operation control device 10 of the dynamic energy system further includes: a second acquisition module, a judgment module and an optimization module.

[0171] The second acquisition module is used to obtain the actual operating parameters of the dynamic energy system and the actual power grid operating parameters under the control of the target operating parameters.

[0172] The judgment module is used to judge whether the target operating parameters meet the preset energy supply conditions based on the actual operating parameters and the actual grid operating parameters.

[0173] The optimization module is used to optimize the operation control model based on the actual operation parameters and the actual power grid operation parameters when the target operation parameters do not meet the preset functional conditions.

[0174] It should be noted that the above explanations of the embodiment of the operation control method of the dynamic energy system are also applicable to the operation control device of the dynamic energy system of this embodiment, and will not be repeated here.

[0175] According to the operation control device of the dynamic energy system proposed in the embodiment of the present application, the energy control strategy can be matched first in combination with the environmental parameters, the current operating parameters of the dynamic energy system and the power demand, and then the target operating parameters of each unit in the dynamic energy system under the corresponding energy control strategy can be calculated using the operation control model to realize the integrated control of wind turbines, photovoltaic power stations, batteries, thermal power units and pumped storage units, so as to optimize energy control by combining environmental factors. On the basis of meeting the daily power grid, a reasonable control strategy is used to adjust the operation mode of the dynamic energy system, which not only meets the user's load needs, but also makes the dynamic energy operation more economical and protects the surrounding environment. Thus, the technical problem in the related art that the environmental factors are not added to the control operation constraints, so that the final operation control scheme cannot meet both environmental protection needs and economic needs at the same time, is solved.

[0176] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0177] A memory 801 , a processor 802 , and a computer program stored in the memory 801 and executable on the processor 802 .

[0178] When the processor 802 executes the program, the operation control method of the dynamic energy system provided in the above embodiment is implemented.

[0179] Furthermore, the electronic device further includes:

[0180] The communication interface 803 is used for communication between the memory 801 and the processor 802 .

[0181] The memory 801 is used to store computer programs that can be run on the processor 802.

[0182] The memory 801 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0183] If the memory 801, processor 802, and communication interface 803 are implemented independently, the communication interface 803, memory 801, and processor 802 can be connected to each other via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0184] Optionally, in a specific implementation, if the memory 801, the processor 802 and the communication interface 803 are integrated on a chip, the memory 801, the processor 802 and the communication interface 803 can communicate with each other through an internal interface.

[0185] The processor 802 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0186] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned operation control method of the dynamic energy system.

[0187] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the operation control method of the dynamic energy system provided by an embodiment of the present invention.

[0188] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0189] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0190] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing a custom logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0191] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or N wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0192] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0193] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0194] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0195] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for controlling the operation of a dynamic energy system, characterized in that: The dynamic energy system is composed of a wind turbine, a photovoltaic power station, a battery, a thermal power unit, and a pumped storage unit, wherein the method includes the following steps: Obtain the current operating parameters of the dynamic energy system and the grid operating parameters; Matching a corresponding energy control strategy based on current environmental parameters, the current operating parameters, and the grid operating parameters; The target operating parameters of the dynamic energy system under the energy control strategy are calculated using a pre-built operation control model, so as to use the target operating parameters to control the operation of the wind turbines, photovoltaic power stations, batteries, thermal power units and / or pumped storage units in the dynamic energy system.

2. The method according to claim 1, characterized in that The matching of corresponding energy control strategies based on the current environmental parameters, the current operating parameters, and the grid operating parameters includes: Determining a grid load demand of the dynamic energy system based on the grid operating parameters; Based on the current environmental parameters, determining the current wind and solar status of the environment in which the dynamic energy system is located; The energy control strategy is matched in combination with the current wind and solar status and the grid load demand.

3. The method according to claim 1, characterized in that Before calculating the target operating parameters of the dynamic energy system under the energy control strategy using the pre-built operation control model, the method further includes: Constructing output models of the wind turbine, photovoltaic power station, battery, thermal power unit and pumped storage unit respectively; Constructing a cost objective function for the dynamic energy system; Constructing a carbon emission objective function of the carbon emission penalty cost of the dynamic energy system; The operation control model is constructed by combining the cost objective function, the carbon emission objective function and the constraints of the dynamic energy system.

4. The method according to claim 1, wherein The calculating the target operating parameters of the dynamic energy system under the energy control strategy using the pre-built operation control model includes: Determining operating units and / or shut-down units in the dynamic energy system based on the energy control strategy; The current operating parameters of the operating unit are input into the operation control model to obtain the target operating parameters.

5. The method according to claim 1, wherein Also includes: Acquiring actual operating parameters of the dynamic energy system and actual grid operating parameters under the control of the target operating parameters; Determining whether the target operating parameters meet preset energy supply conditions based on the actual operating parameters and the actual grid operating parameters; If the target operating parameter does not meet the preset functional condition, the operation control model is optimized based on the actual operating parameter and the actual power grid operating parameter.

6. An operation control device for a dynamic energy system, characterized in that: The dynamic energy system is composed of a wind turbine, a photovoltaic power station, a battery, a thermal power unit and a pumped storage unit, wherein the device includes: An acquisition module, used to obtain the current operating parameters of the dynamic energy system and the grid operating parameters; A matching module, configured to match a corresponding energy control strategy based on current environmental parameters, the current operating parameters, and the grid operating parameters; A control module is used to calculate the target operating parameters of the dynamic energy system under the energy control strategy using a pre-built operation control model, so as to use the target operating parameters to control the operation of the wind turbines, photovoltaic power stations, batteries, thermal power units and / or pumped storage units in the dynamic energy system.

7. The device according to claim 6, characterized in that The matching module includes: a determining unit, configured to determine a grid load demand of the dynamic energy system based on the grid operating parameters; A judgment unit, configured to judge the current wind and solar status of the environment in which the dynamic energy system is located based on the current environmental parameters; A matching unit is used to match the energy control strategy in combination with the current wind and solar power status and the grid load demand.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the operation control method of the dynamic energy system according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the operation control method of the dynamic energy system according to any one of claims 1 to 5.

10. A computer program product, comprising a computer program, wherein when the computer program is executed, the computer program is used to implement the operation control method of the dynamic energy system according to any one of claims 1 to 5.

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