Power scheduling method and device for offshore integrated energy system, terminal equipment and storage medium

Abstract

The invention discloses a power scheduling method and device for an offshore integrated energy system, terminal equipment and a storage medium, and aims to solve wind power penetration power by considering frequency deviation boundaries under two different working conditions, and take the wind power penetration power as a power scheduling boundary of a wind power optimization model. When a wind power output power combination with the minimum cost is searched through a wind power optimization model, the working condition that the offshore wind power output power changes along with the wind speed and the frequency deviation boundary under the offshore wind power off-grid working condition are considered in the power dispatching boundary which is solved firstly; therefore, the finally generated wind power scheduling scheme can ensure that the system can still keep a stable operation state when the wind speed changes, and can also ensure that the system cannot cause safety problems due to the fact that the output frequency exceeds the bearing capacity when the offshore wind power is off-grid; through the generation of the wind power dispatching scheme and the control process of the unit, the safe operation of the system can be ensured, and the stability of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy system scheduling, and in particular to a power scheduling method, device, terminal equipment and storage medium for an offshore integrated energy system. Background Art

[0002] The offshore integrated energy system refers to a complex system that integrates multiple energy supply, conversion, storage and consumption links at sea. Offshore wind power is an important part of the offshore integrated energy system, with advantages such as abundant wind energy resources and high power generation efficiency. By optimizing the dispatch of offshore wind power, we can make full use of wind energy resources, reduce energy waste, and improve the energy efficiency of the entire system.

[0003] However, the output power of offshore wind power will be affected by many factors such as wind speed and wind direction, resulting in fluctuations in output power. Therefore, when adjusting and dispatching offshore wind power, it is necessary to estimate the wind power penetration power that can meet the stable operation of the system, and then optimize the power of offshore wind power under this wind power penetration power to complete the optimal dispatch of offshore wind power, reduce the fluctuation of output power, and ensure the safe operation of the system.

[0004] The existing technology generally uses the static stability analysis method to determine the wind power penetration power, that is, by calculating the stability indicators of the system under a specific operating state (such as frequency deviation, etc.) to evaluate the feasibility of wind power penetration power. However, static stability analysis usually only considers a single operating state and cannot fully reflect the dynamic response of the system under different operating conditions. The existing technology lacks consideration of the system frequency deviation under different operating conditions when determining the maximum wind power penetration power, and cannot accurately reflect the power stability of the system under different operating conditions, resulting in the final power dispatch control solution being unable to guarantee the stable operating state of the system. Summary of the invention

[0005] The embodiments of the present invention provide a power scheduling method, apparatus, terminal equipment and storage medium for an offshore integrated energy system, which can consider the frequency deviation boundaries under two different working conditions to solve the wind power penetration power, and use it as the power scheduling boundary of the wind power optimization model, so that the wind power scheduling scheme finally generated can ensure the safe operation of the system, which can effectively solve the problem in the prior art that the power scheduling control scheme finally obtained cannot guarantee the stable operation state of the system due to the lack of consideration of the system frequency deviation under different working conditions.

[0006] An embodiment of the present invention provides a power scheduling method for an offshore integrated energy system, comprising:

[0007] A penetration power assessment model is constructed based on the offshore wind power fluctuation ratio, wind power penetration power data, the first frequency deviation upper boundary and the second frequency deviation upper boundary of the offshore integrated energy system; wherein the first frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the wind speed changes, and the second frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the offshore wind power is disconnected from the grid;

[0008] Under the preset generator set output constraints and wind turbine set output constraints, the penetration power evaluation model is solved, and the corresponding target wind power penetration power is output when the wind power penetration power is maximum;

[0009] The target wind power penetration power is used as the power boundary of the scheduling optimization model, and then a wind power optimization model is constructed according to the power boundary, the offshore wind power operation cost, the generator set startup cost, the fuel cost and the carbon dioxide emission cost;

[0010] Under the preset power constraints of the generator set and the output constraints of the offshore wind turbine set, solving the wind power optimization model to generate a number of wind power output powers when the total cost is minimized;

[0011] The output of wind turbines in the offshore integrated energy system is controlled according to the output power of each wind power.

[0012] Preferably, the construction of a penetration power assessment model based on the offshore wind power fluctuation ratio, wind power penetration power data, the first frequency deviation upper boundary and the second frequency deviation upper boundary of the offshore integrated energy system comprises:

[0013] A first operating condition model for characterizing the variation of offshore wind power output power with wind speed is constructed according to the offshore wind power fluctuation ratio, the first frequency deviation upper boundary, wind power penetration power data, the comprehensive inertia time constant of the generator set, the comprehensive proportional coefficient of the generator set speed governor and the integral coefficient of the generator set speed governor;

[0014] According to the offshore wind power fluctuation ratio, the second frequency deviation upper boundary, wind power penetration power data, the time constant of the generator set prime mover model, the comprehensive inertia time constant of the generator set, the comprehensive proportional coefficient of the generator set speed regulator and the integral coefficient of the wind turbine set speed regulator, a second operating condition model is constructed to characterize the change of offshore wind power output power when the offshore wind power is disconnected from the grid;

[0015] Based on the wind power penetration power data, the first operating condition model and the second operating condition model, a penetration power evaluation model is constructed.

[0016] Preferably, the generator set output constraint includes: a generator set power constraint, a fuel consumption constraint for characterizing the constraint relationship between the fuel consumption of the generator set and the output active power, and a power constraint for characterizing the constraint relationship between the active power of the generator set and the load rate;

[0017] The process of generating the power constraint of the generator set includes:

[0018] According to the start / stop state of the generator set, the preset minimum value of the active power of the generator set, and the preset maximum value of the active power of the generator set, the active power constraint of the generator set is constructed;

[0019] According to the start / stop state of the generator set, the preset minimum reactive power value of the generator set, the preset maximum reactive power value of the generator set, the active power of the generator set, the power factor of the generator set and the rated capacity of the generator set, the reactive power constraint of the generator set is constructed;

[0020] A power constraint of the generator set is generated according to the active power constraint of the generator set and the reactive power constraint of the generator set.

[0021] Preferably, the generation of the output constraint of the offshore wind turbine group includes:

[0022] According to the wind power penetration power, the capacity of the generator set, the rated capacity of the generator set and the start and stop status of the generator set, the active power constraint of the offshore wind turbine is established;

[0023] According to the preset minimum reactive power value of the offshore wind turbine generator set, the preset maximum reactive power value of the offshore wind turbine generator set, the active power of the offshore wind turbine generator set, and the power factor of the offshore wind turbine generator set, a reactive power constraint of the offshore wind turbine generator set is established;

[0024] The output constraint of the offshore wind turbine generator set is generated according to the active power constraint of the offshore wind turbine generator set and the reactive power constraint of the offshore wind turbine generator set.

[0025] Preferably, the wind power optimization model is solved under the preset generator set output constraint and the offshore wind turbine set output constraint to generate a plurality of wind power output powers when the total cost is minimized, including:

[0026] Under the preset generator set output constraints and offshore wind turbine set output constraints, the wind power optimization model is solved based on a mathematical programming solver or a mathematical programming optimizer, and a number of active powers corresponding to the offshore wind turbine set are generated when the total cost is minimized, and each active power is used as the wind power output power.

[0027] Preferably, the penetration power evaluation model comprises:

[0028]

[0029]

[0030] in, represents the penetration power evaluation model, FI 1 represents the first operating condition model, f nor (H,K I ) is expressed as -1 / (T WT The maximum frequency deviation of the equivalent generator set under the action of the s+1)s signal, k WT represents the offshore wind power fluctuation ratio of the WTth wind turbine, represents the wind power penetration power of the WTth wind turbine, represents the upper boundary of the first frequency deviation, represents the inverse Laplace transform, ΔF nor,step (s) means -1 / (T WT The frequency expression of the frequency deviation change of the equivalent generator set under the action of the s+1)s signal, s represents the Laplace operator, H represents the comprehensive inertia time constant of the generator set, D eq Indicates the comprehensive proportional coefficient of the generator set speed governor, K I Indicates the integral coefficient of the generator set speed governor; For offshore wind power,

[0031] FI 2 represents the second operating condition model, is the upper boundary of the second frequency deviation, T t represents the time constant of the generator prime mover model, f trip (H,K I ,T t ) is the maximum frequency deviation of the equivalent generator set under the action of -1 / s signal, ΔF trip,step (s) is the frequency expression of the frequency deviation change of the equivalent generator set under the action of -1 / s signal.

[0032] Preferably, the wind power optimization model includes:

[0033] min C=C fuel +C CO2 +C WT +C on ;

[0034]

[0035] Among them, C is the total cost corresponding to the wind power optimization model, C fuel , C CO2 , C WTand C on They represent fuel cost, carbon dioxide emission cost, offshore wind power operation cost and generator start-up cost respectively; T is the preset time step, μ tg is the start / stop state of the tgth generator set, M tg is the fuel consumption of the tgth generator, c fuel,tg is the unit cost of fuel for the tgth generator set, c CO2 is the unit cost of carbon dioxide emissions, m CO2,tg For the tth g The carbon dioxide emissions per unit volume of natural gas or unit mass of crude oil per generator set, c WT is the unit cost of wind power of the WTth wind turbine, C on,tg is the cost of starting the tgth generator set once, P WT is the wind power output power of the WTth wind turbine.

[0036] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0037] An embodiment of the present invention provides a power dispatching device for an offshore integrated energy system, comprising: a penetration power assessment model construction module, a first solution module, a wind power optimization model construction module, a second solution module, and a control module;

[0038] The penetration power assessment model construction module is used to construct a penetration power assessment model according to the offshore wind power fluctuation ratio, wind power penetration power data, a first frequency deviation upper boundary and a second frequency deviation upper boundary of the offshore integrated energy system; wherein the first frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the wind speed changes, and the second frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the offshore wind power is off-grid;

[0039] The first solving module is used to solve the penetration power evaluation model under the preset generator set output constraint and wind turbine set output constraint, and output the corresponding target wind power penetration power when the wind power penetration power is maximum;

[0040] The wind power optimization model building module is used to use the target wind power penetration power as the power boundary of the scheduling optimization model, and then build a wind power optimization model according to the power boundary, offshore wind power operation cost, generator set startup cost, fuel cost and carbon dioxide emission cost;

[0041] The second solving module is used to solve the wind power optimization model under the preset generator set output constraint and the offshore wind turbine set output constraint, and generate a number of wind power output powers when the total cost is minimized;

[0042] The control module is used to control the output of wind turbines in the offshore integrated energy system according to the output power of each wind power.

[0043] Based on the above method embodiments, the present invention provides corresponding terminal device embodiments.

[0044] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the power scheduling method of an offshore integrated energy system described in the above-mentioned embodiment of the invention.

[0045] Based on the above method embodiments, the present invention provides corresponding storage medium item embodiments.

[0046] Another embodiment of the present invention provides a storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a power scheduling method for an offshore integrated energy system described in the above-mentioned embodiment of the invention.

[0047] The following beneficial effects are achieved by implementing the present invention:

[0048] The embodiment of the present invention provides a power scheduling method, device, terminal equipment and storage medium for an offshore integrated energy system. First, the frequency deviation boundary corresponding to the operating condition when the offshore wind power output power changes with the wind speed and the frequency deviation boundary corresponding to the operating condition when the offshore wind power output power is off-grid are obtained. After a penetration power evaluation model is constructed based on the frequency deviation boundaries corresponding to the above-mentioned different operating conditions, the maximum target wind power penetration power of the system under the two operating conditions can be obtained. Then, the target wind power penetration power is used as the power scheduling boundary of the wind power optimization model. When the wind power optimization model is subsequently solved to generate a plurality of wind power output powers, since the power scheduling boundary first solved takes into account the operating condition that the offshore wind power output power changes with the wind speed and the frequency deviation boundary under the offshore wind power off-grid condition, the present invention can obtain the optimal wind power output power that meets different operating conditions. Finally, the output of the wind turbines of the offshore integrated energy system can be controlled according to the wind power output powers that meet the operating requirements of different operating conditions. Compared with the prior art, the present invention can consider the frequency deviation boundary under two different working conditions to solve the wind power penetration power, and use it as the power scheduling boundary of the wind power optimization model, so that when the optimization model is used to find the wind power output power combination with the lowest cost, the wind power scheduling plan finally generated can ensure that the system can still maintain a stable operating state when the wind speed changes, and can also ensure that when the offshore wind power is disconnected from the grid, the system will not cause safety problems due to its output frequency exceeding the tolerance capacity. Through the generation of the wind power scheduling plan of the present invention and the control process of the unit, the safe operation of the system can be ensured and the stability of the system can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a flow chart of a power dispatching method for an offshore integrated energy system provided in one embodiment of the present invention.

[0050] Figure 2 It is a structural schematic diagram of a power dispatching device for an offshore integrated energy system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] like Figure 1FIG. 1 is a flow chart of a power dispatching method for an offshore integrated energy system provided by an embodiment of the present invention. The power dispatching method for an offshore integrated energy system comprises:

[0053] Step S1: constructing a penetration power assessment model according to the offshore wind power fluctuation ratio, wind power penetration power data, the first frequency deviation upper boundary and the second frequency deviation upper boundary of the offshore integrated energy system;

[0054] The first frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the change of offshore wind power output power with wind speed, and the second frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the offshore wind power is disconnected from the grid;

[0055] Step S2: Under the preset generator set output constraints and wind turbine set output constraints, the penetration power evaluation model is solved, and the corresponding target wind power penetration power is output when the wind power penetration power is maximum;

[0056] Step S3: taking the target wind power penetration power as the power boundary of the scheduling optimization model, and then constructing a wind power optimization model according to the power boundary, offshore wind power operation cost, generator start-up cost, fuel cost and carbon dioxide emission cost;

[0057] Step S4: solving the wind power optimization model under the preset generator set output constraint and the offshore wind turbine set output constraint, and generating a plurality of wind power output powers when the total cost is minimized;

[0058] Step S5: Control the output of wind turbines in the offshore integrated energy system according to the output power of each wind power.

[0059] For step S1, in a preferred embodiment, in order to obtain the penetration power that can meet different working conditions, the present invention constructs a penetration power evaluation model in this step based on the frequency deviation boundary corresponding to the change of offshore wind power output power with wind speed, and the frequency deviation boundary corresponding to the offshore wind power output power when the offshore wind power is disconnected from the grid.

[0060] In a preferred embodiment, the offshore wind power fluctuation ratio, wind power penetration power data, the first frequency deviation upper boundary and the second frequency deviation upper boundary of the offshore integrated energy system are used to construct a penetration power assessment model, including:

[0061] A first operating condition model for characterizing the variation of offshore wind power output power with wind speed is constructed according to the offshore wind power fluctuation ratio, the first frequency deviation upper boundary, wind power penetration power data, the comprehensive inertia time constant of the generator set, the comprehensive proportional coefficient of the generator set speed governor and the integral coefficient of the generator set speed governor;

[0062] According to the offshore wind power fluctuation ratio, the second frequency deviation upper boundary, wind power penetration power data, the time constant of the generator set prime mover model, the comprehensive inertia time constant of the generator set, the comprehensive proportional coefficient of the generator set speed regulator and the integral coefficient of the wind turbine set speed regulator, a second operating condition model is constructed to characterize the change of offshore wind power output power when the offshore wind power is disconnected from the grid;

[0063] Based on the wind power penetration power data, the first operating condition model and the second operating condition model, a penetration power evaluation model is constructed.

[0064] Specifically, the penetration power evaluation model includes:

[0065]

[0066] in, represents the penetration power evaluation model, FI 1 represents the first operating condition model, f nor (H,K I ) is expressed as -1 / (T WT The maximum frequency deviation of the equivalent generator set under the action of the s+1)s signal, k WT Indicates WT The offshore wind power fluctuation ratio of each wind turbine is represents the wind power penetration power of the WTth wind turbine, represents the upper boundary of the first frequency deviation, represents the inverse Laplace transform, ΔF nor,step (s) means -1 / (T WT The frequency expression of the frequency deviation change of the equivalent generator set under the action of the s+1)s signal, s represents the Laplace operator, H represents the comprehensive inertia time constant of the generator set, D eq Indicates the comprehensive proportional coefficient of the generator set speed governor, K I Indicates the integral coefficient of the generator set speed governor; For offshore wind power,

[0067] FI 2 represents the second operating condition model, is the upper boundary of the second frequency deviation, T t represents the time constant of the generator prime mover model, f trip (H,K I ,T t ) is the maximum frequency deviation of the equivalent generator set under the action of -1 / s signal, ΔF trip,step (s) is the frequency expression of the frequency deviation change of the equivalent generator set under the action of -1 / s signal.

[0068] It can be understood that the penetration power evaluation model of the present invention is applicable to two typical operating conditions: the first condition is the condition when the offshore wind power output fluctuates with the wind speed, and the second condition is the condition when the offshore wind power is accidentally disconnected from the grid. 1 The lowest frequency point caused by the change of offshore wind power in working condition 1, index FI 2 The lowest frequency point caused by accidental disconnection of offshore wind power in working condition 2 is:

[0069]

[0070] Indicative, Indicates the upper boundary of the frequency deviation in the first condition. Indicates the upper boundary of frequency deviation in working condition 2.

[0071] It can be understood that under the condition of working condition 1, the maximum frequency deviation caused by offshore wind power fluctuation can be expressed as:

[0072]

[0073] Under the second working condition, the maximum frequency deviation caused by offshore wind power disconnection can be expressed as:

[0074]

[0075] Therefore, the present invention can construct a penetration power evaluation model based on the frequency deviation boundaries corresponding to the above-mentioned different operating conditions, so as to obtain the maximum wind power penetration power that satisfies both operating conditions.

[0076] For step S2, in a preferred embodiment, since the penetration power assessment model takes into account the dynamic characteristics of offshore wind power output power changing with wind speed and the frequency response under off-grid conditions, the dynamic stability of the system can be fully considered when solving the wind power penetration power, so that the final target wind power penetration power can avoid safety problems caused by output power fluctuations or frequency deviations exceeding the system's tolerance capacity.

[0077] Illustratively, before solving the penetration power assessment model, the present invention may first construct the operating constraints of the generator set and the operating constraints of the offshore wind turbine set.

[0078] In a preferred embodiment, the generator set output constraint includes: a generator set power constraint, a fuel consumption constraint for characterizing the constraint relationship between the fuel consumption of the generator set and the output active power, and a power constraint for characterizing the constraint relationship between the active power of the generator set and the load rate;

[0079] The process of generating the power constraint of the generator set includes:

[0080] According to the start / stop state of the generator set, the preset minimum value of the active power of the generator set, and the preset maximum value of the active power of the generator set, the active power constraint of the generator set is constructed;

[0081] According to the start / stop state of the generator set, the preset minimum reactive power value of the generator set, the preset maximum reactive power value of the generator set, the active power of the generator set, the power factor of the generator set and the rated capacity of the generator set, the reactive power constraint of the generator set is constructed;

[0082] A power constraint of the generator set is generated according to the active power constraint of the generator set and the reactive power constraint of the generator set.

[0083] Specifically, the active power constraint of the generator set is:

[0084]

[0085] The reactive power constraint of the generator set is:

[0086]

[0087]

[0088] Among them, P tg and Q tg are the active power and reactive power of the generator set respectively; tg Power factor of the generator set; S N,tg is the rated capacity of the generator set, and it is understandable that and A are the maximum and minimum constraints of variable A. Then P tg is the preset minimum value of the active power of the generator set, μ tg is the start and stop status of the generator set, is the preset maximum value of the active power of the generator set. represents the set of generators, Q tg is the preset minimum value of the reactive power of the generator set, It is the preset maximum value of the reactive power of the generator set.

[0089] The fuel consumption constraint is:

[0090]

[0091] Among them, M tg is the fuel consumption of the generator set, a tg , b tg are the coefficients of the fuel-power output characteristic equation, P N,tgis the unit fuel consumption of the generator set.

[0092] The power constraint used to characterize the relationship between the active power and load rate of the generator set is:

[0093]

[0094] Among them, δ is the load factor of each generator set, δ Preset minimum value for load factor, Preset maximum value for load factor.

[0095] Furthermore, the generation of the output constraint of the offshore wind turbine generator system includes:

[0096] According to the wind power penetration power, the capacity of the generator set, the rated capacity of the generator set and the start and stop status of the generator set, the active power constraint of the offshore wind turbine is established;

[0097] According to the preset minimum reactive power value of the offshore wind turbine generator set, the preset maximum reactive power value of the offshore wind turbine generator set, the active power of the offshore wind turbine generator set, and the power factor of the offshore wind turbine generator set, a reactive power constraint of the offshore wind turbine generator set is established;

[0098] The output constraint of the offshore wind turbine generator set is generated according to the active power constraint of the offshore wind turbine generator set and the reactive power constraint of the offshore wind turbine generator set.

[0099] Specifically, the operation of offshore wind turbines meets the following offshore wind turbine output constraints:

[0100]

[0101] Where P wt and Q wt Represents the output active power and reactive power of the offshore wind turbine; λ lag,wt , lead,wt Represents the power factor of offshore wind power and is different. is the wind power penetration power, S B Capacity of the generator set, S N,tg is the rated capacity of the generator set, Q wt Preset minimum value for reactive power, Preset the maximum value for the reactive power of offshore wind turbines.

[0102] It can be understood that the present invention can solve the penetration power evaluation model under the above-mentioned generator set power constraints, fuel consumption constraints, power constraints used to characterize the constraint relationship between the active power of the generator set and the load rate, the active power constraints of the offshore wind turbine set, and the reactive power constraints of the offshore wind turbine set, so as to output the corresponding target wind power penetration power when the wind power penetration power is maximum as the limit penetration power, which is used as a reference for the subsequent wind power optimization model.

[0103] Therefore, the embodiment of the present invention can ensure that the generator set operates within the specified power range by setting the active power and reactive power constraints of the generator set, avoiding overload or underload, thereby maintaining the stability of the power system. At the same time, the offshore wind turbine set also needs to meet the corresponding active and reactive power constraints to ensure that it can stably output power when the wind energy fluctuates and will not cause impact on the power grid.

[0104] The establishment of fuel consumption constraints helps to minimize fuel consumption and reduce power generation costs while meeting power demand. And by reasonably setting the constraint relationship between the active power and load rate of the generator set, the operating state of the generator set can be further optimized and the energy utilization efficiency can be improved.

[0105] The active power and reactive power constraints of the offshore wind turbines constructed by the present invention can more accurately reflect the actual output capacity of wind power, thereby improving the accuracy of wind power penetration power assessment.

[0106] Therefore, by comprehensively considering the operating constraints of the generator set and the offshore wind turbine, we can obtain the wind power penetration power that is more suitable for the safe operation of the system, and use it as the upper boundary of wind power dispatch. For wind power, when the real-time output of wind power does not exceed the wind power penetration power, the system frequency safety requirements can be met, thereby adapting to the uncertainty and volatility of wind energy.

[0107] For step S3, in a preferred embodiment, in order to be able to formulate a more reasonable wind power grid connection strategy and scheduling plan through the analysis and prediction results of the model, to ensure that wind power can be safely, stably and efficiently connected to the power grid and play a role. Then, when constructing a wind power optimization model, the embodiment of the present invention can use the target wind power penetration power as the power boundary of the scheduling optimization model, thereby providing a clear optimization direction for the wind power optimization model, that is, the wind power optimization model will be committed to optimizing the output of wind power and other generators without exceeding this power boundary, so as to minimize the overall operating cost or maximize the economic benefits.

[0108] In a preferred embodiment, the wind power optimization model includes:

[0109] minC=C fuel +C CO2 +C WT +C on ;

[0110]

[0111] Among them, C is the total cost corresponding to the wind power optimization model, C fuel , C CO2 , C WT and C on They represent fuel cost, carbon dioxide emission cost, offshore wind power operation cost and generator start-up cost respectively; T is the preset time step, μ tg is the start / stop state of the tgth generator set, M tg is the fuel consumption of the tgth generator, c fuel,tg为 The unit cost of fuel for the tgth generator set, c CO2 is the unit cost of carbon dioxide emissions, m CO2,tg is the carbon dioxide emission per unit volume of natural gas or per unit mass of crude oil of the tgth generating unit, c WT is the unit cost of wind power of the WTth wind turbine, C on,tg is the cost of starting the tgth generator set once, P WT is the wind power output power of the WTth wind turbine.

[0112] Indicatively, the constraints corresponding to the wind power optimization model are also: generator set power constraint, fuel consumption constraint, power constraint used to characterize the constraint relationship between the active power of the generator set and the load rate, active power constraint of the offshore wind turbine set, and reactive power constraint of the offshore wind turbine set.

[0113] Therefore, in the embodiment of the present invention, by taking wind power penetration power as a constraint condition, the wind power optimization model can more effectively utilize wind energy resources and avoid wind energy waste. At the same time, combined with the considerations of offshore wind power operation costs, generator start-up costs, fuel costs, and carbon dioxide emission costs, the wind power optimization model can formulate a more economical and reasonable power generation plan and improve the economic benefits of the entire power system.

[0114] For step S4, in a preferred embodiment, solving the wind power optimization model under the preset generator set output constraint and the offshore wind turbine set output constraint to generate a plurality of wind power output powers when the total cost is minimized includes:

[0115] Under the preset generator set output constraints and offshore wind turbine set output constraints, the wind power optimization model is solved based on a mathematical programming solver or a mathematical programming optimizer, and a number of active powers corresponding to the offshore wind turbine set are generated when the total cost is minimized, and each active power is used as the wind power output power.

[0116] Indicatively, when solving the wind power optimization model, the following solvers may be used to directly solve the problem, such as Cplex and Gurobi.

[0117] It can be understood that in the solution process, the generator set output constraints and the offshore wind turbine set output constraints are strictly considered, which ensures that the generated wind power output is not only economically optimal, but also meets the actual operation requirements of the power system, avoiding operational instability or safety problems caused by violation of constraints.

[0118] By solving the wind power optimization model, the optimal configuration of wind resources and traditional generator resources can be achieved. Under the goal of minimizing the total cost, the model will automatically adjust the output of each generator to minimize the operating cost of the entire power system, so that the final dispatch output can improve energy utilization efficiency, reduce operating costs, and promote the consumption of clean energy.

[0119] The wind power output power combination solved by the wind power optimization model has taken into account the impact of wind speed changes on wind power output power. This means that when the wind speed fluctuates, the system can adjust according to the pre-calculated optimal wind power output to maintain a stable operating state, which can reduce system instability and frequency fluctuations caused by wind speed changes.

[0120] In the wind power optimization model, the frequency deviation boundary under the condition of offshore wind power being disconnected from the grid is also taken into account. When offshore wind power is disconnected from the grid due to a fault or other reasons, the output of other generator sets can be quickly adjusted according to the preset frequency deviation boundary to compensate for the output power loss of the off-grid wind power, thereby avoiding the system frequency exceeding the bearing capacity and ensuring the safe operation of the system.

[0121] Through the wind power dispatch scheme based on the optimization model, the system can maintain a stable operating state under various operating conditions and reduce the risk of system collapse caused by power fluctuations or failures.

[0122] For step S5, in a preferred embodiment, the present invention can control and dispatch the output of wind turbines in the offshore integrated energy system based on the various wind power output powers obtained by solving the wind power optimization model, so as to achieve safe operation of the system and improve the stability of the system.

[0123] In schematic form, since the power dispatch boundary solved first takes into account the conditions under which the offshore wind power output power changes with wind speed and the frequency deviation boundary under the offshore wind power disconnection condition, the present invention can derive the optimal wind power output power that meets different operating conditions. Finally, the output of the wind turbines in the offshore integrated energy system can be controlled according to the wind power output power that meets the requirements of different operating conditions, ensuring that the system maintains a stable operating state under conditions such as wind speed changes and offshore wind power disconnection, thereby improving the safety and stability of the system.

[0124] When the optimization model is used to find the wind power output power combination with the lowest cost, the wind power scheduling plan finally generated can ensure that the system can maintain a stable operating state when the wind speed changes, and can also ensure that when the offshore wind power is disconnected from the grid, the system will not cause safety problems due to its output frequency exceeding the tolerance capacity. The generation of the wind power scheduling plan of the present invention and the control process of the unit can ensure the safe operation of the system.

[0125] In a preferred embodiment, by solving the wind power optimization model and generating several wind power output powers when the total cost is minimized, it can also be used as a decision basis for power system scheduling and operation. Power system dispatchers can formulate reasonable power generation plans and scheduling strategies based on these output results to ensure the stable operation of the power system and maximize economic benefits.

[0126] like Figure 2 As shown, based on the above-mentioned various embodiments of the power dispatching method of the offshore integrated energy system, the present invention provides corresponding device embodiments;

[0127] An embodiment of the present invention provides a power dispatching device for an offshore integrated energy system, comprising: a penetration power assessment model construction module, a first solution module, a wind power optimization model construction module, a second solution module, and a control module;

[0128] The penetration power assessment model construction module is used to construct a penetration power assessment model according to the offshore wind power fluctuation ratio, wind power penetration power data, a first frequency deviation upper boundary and a second frequency deviation upper boundary of the offshore integrated energy system; wherein the first frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the wind speed changes, and the second frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the offshore wind power is off-grid;

[0129] The first solving module is used to solve the penetration power evaluation model under the preset generator set output constraint and wind turbine set output constraint, and output the corresponding target wind power penetration power when the wind power penetration power is maximum;

[0130] The wind power optimization model building module is used to use the target wind power penetration power as the power boundary of the scheduling optimization model, and then build a wind power optimization model according to the power boundary, offshore wind power operation cost, generator set startup cost, fuel cost and carbon dioxide emission cost;

[0131] The second solving module is used to solve the wind power optimization model under the preset generator set output constraint and the offshore wind turbine set output constraint, and generate a number of wind power output powers when the total cost is minimized;

[0132] The control module is used to control the output of wind turbines in the offshore integrated energy system according to the output power of each wind power.

[0133] It should be noted that the device embodiments described above are merely schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement it without paying creative labor.

[0134] Those skilled in the art can clearly understand that, for the sake of convenience and simplicity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0135] Based on the above-mentioned various embodiments of the power dispatching method for offshore integrated energy systems, the present invention provides corresponding embodiments of terminal equipment items.

[0136] An embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a power scheduling method for an offshore integrated energy system described in any method embodiment of the present invention.

[0137] The terminal device may be a computing terminal device such as a desktop computer, a notebook, a palm computer, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0138] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0139] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device or other volatile solid-state storage device.

[0140] Based on the above-mentioned various embodiments of the power dispatching method for offshore integrated energy systems, the present invention provides corresponding storage medium item embodiments.

[0141] An embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a power scheduling method for an offshore integrated energy system described in any method embodiment of the present invention.

[0142] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each method embodiment described above can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0143] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A power dispatching method for an offshore integrated energy system, characterized in that: include: A penetration power assessment model is constructed based on the offshore wind power fluctuation ratio, wind power penetration power data, the first frequency deviation upper boundary and the second frequency deviation upper boundary of the offshore integrated energy system; wherein the first frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the wind speed changes, and the second frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the offshore wind power is disconnected from the grid; Under the preset generator set output constraints and wind turbine set output constraints, the penetration power evaluation model is solved, and the corresponding target wind power penetration power is output when the wind power penetration power is maximum; The target wind power penetration power is used as the power boundary of the scheduling optimization model, and then a wind power optimization model is constructed according to the power boundary, the offshore wind power operation cost, the generator set startup cost, the fuel cost and the carbon dioxide emission cost; Under the preset power constraints of the generator set and the output constraints of the offshore wind turbine set, solving the wind power optimization model to generate a number of wind power output powers when the total cost is minimized; The output of wind turbines in the offshore integrated energy system is controlled according to the output power of each wind power.

2. A power dispatching method for an offshore integrated energy system according to claim 1, characterized in that: The method of constructing a penetration power evaluation model based on the offshore wind power fluctuation ratio, wind power penetration power data, the first frequency deviation upper boundary and the second frequency deviation upper boundary of the offshore integrated energy system includes: A first operating condition model for characterizing the variation of offshore wind power output power with wind speed is constructed according to the offshore wind power fluctuation ratio, the first frequency deviation upper boundary, wind power penetration power data, the comprehensive inertia time constant of the generator set, the comprehensive proportional coefficient of the generator set speed governor and the integral coefficient of the generator set speed governor; According to the offshore wind power fluctuation ratio, the second frequency deviation upper boundary, wind power penetration power data, the time constant of the generator set prime mover model, the comprehensive inertia time constant of the generator set, the comprehensive proportional coefficient of the generator set speed regulator and the integral coefficient of the wind turbine set speed regulator, a second operating condition model is constructed to characterize the change of offshore wind power output power when the offshore wind power is disconnected from the grid; Based on the wind power penetration power data, the first operating condition model and the second operating condition model, a penetration power evaluation model is constructed.

3. A power dispatching method for an offshore integrated energy system as claimed in claim 2, characterized in that: The generator set output constraint includes: a generator set power constraint, a fuel consumption constraint for characterizing the constraint relationship between the fuel consumption of the generator set and the output active power, and a power constraint for characterizing the constraint relationship between the active power of the generator set and the load rate; The process of generating the power constraint of the generator set includes: According to the start / stop state of the generator set, the preset minimum value of the active power of the generator set, and the preset maximum value of the active power of the generator set, the active power constraint of the generator set is constructed; According to the start / stop state of the generator set, the preset minimum reactive power value of the generator set, the preset maximum reactive power value of the generator set, the active power of the generator set, the power factor of the generator set and the rated capacity of the generator set, the reactive power constraint of the generator set is constructed; A power constraint of the generator set is generated according to the active power constraint of the generator set and the reactive power constraint of the generator set.

4. A power dispatching method for an offshore integrated energy system as claimed in claim 3, characterized in that: The generation of the output constraint of the offshore wind turbine generator system includes: According to the wind power penetration power, the capacity of the generator set, the rated capacity of the generator set and the start and stop status of the generator set, the active power constraint of the offshore wind turbine is established; According to the preset minimum reactive power value of the offshore wind turbine generator set, the preset maximum reactive power value of the offshore wind turbine generator set, the active power of the offshore wind turbine generator set, and the power factor of the offshore wind turbine generator set, a reactive power constraint of the offshore wind turbine generator set is established; The output constraint of the offshore wind turbine generator set is generated according to the active power constraint of the offshore wind turbine generator set and the reactive power constraint of the offshore wind turbine generator set.

5. A power dispatching method for an offshore integrated energy system as claimed in claim 4, characterized in that: The wind power optimization model is solved under the preset generator set output constraint and the offshore wind turbine set output constraint to generate a plurality of wind power output powers when the total cost is minimized, including: Under the preset generator set output constraints and offshore wind turbine set output constraints, the wind power optimization model is solved based on a mathematical programming solver or a mathematical programming optimizer, and a number of active powers corresponding to the offshore wind turbine set are generated when the total cost is minimized, and each active power is used as the wind power output power.

6. A power dispatching method for an offshore integrated energy system as claimed in claim 5, characterized in that: The penetration power evaluation model comprises: in, represents the penetration power evaluation model, FI1 represents the first working condition model, and f nor (H,K I ) is expressed as -1 / (T WT The maximum frequency deviation of the equivalent generator set under the action of s+1)s signal, k WT represents the offshore wind power fluctuation ratio of the WTth wind turbine, represents the wind power penetration power of the WTth wind turbine, represents the upper boundary of the first frequency deviation, represents the inverse Laplace transform, ΔF nor,step (s) means -1 / (T WT The frequency expression of the frequency deviation change of the equivalent generator set under the action of the s+1)s signal, s represents the Laplace operator, H represents the comprehensive inertia time constant of the generator set, D eq Indicates the comprehensive proportional coefficient of the generator set speed governor, K I Indicates the integral coefficient of the generator set speed governor; For offshore wind power, FI2 represents the second operating condition model. is the upper boundary of the second frequency deviation, T t represents the time constant of the generator prime mover model, f trip (H,K I ,T t ) is the maximum frequency deviation of the equivalent generator set under the action of -1 / s signal, ΔF trip,step (s) is the frequency expression of the frequency deviation change of the equivalent generator set under the action of -1 / s signal.

7. A power dispatching method for an offshore integrated energy system according to claim 6, characterized in that: The wind power optimization model comprises: minC=C fuel +C CO2 +C WT +C on ; Among them, C is the total cost corresponding to the wind power optimization model, C fuel , C CO2 , C WT and C on They represent fuel cost, carbon dioxide emission cost, offshore wind power operation cost and generator start-up cost respectively; T is the preset time step, μ tg is the start / stop state of the tgth generator set, M tg is the fuel consumption of the tgth generator, c fuel,tg is the unit cost of fuel for the tgth generator set, c CO2 is the unit cost of carbon dioxide emissions, m CO2 ,tg is the carbon dioxide emission per unit volume of natural gas or per unit mass of crude oil of the tg-th generator set, c WT is the unit cost of wind power of the WTth wind turbine, C on,tg is the cost of starting the tgth generator set once, P WT is the wind power output power of the WTth wind turbine.

8. A power dispatching device for an offshore integrated energy system, characterized in that: include: A penetration power assessment model building module, a first solution module, a wind power optimization model building module, a second solution module and a control module; The penetration power assessment model construction module is used to construct a penetration power assessment model according to the offshore wind power fluctuation ratio, wind power penetration power data, a first frequency deviation upper boundary and a second frequency deviation upper boundary of the offshore integrated energy system; wherein the first frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the wind speed changes, and the second frequency deviation upper boundary is used to characterize the frequency deviation boundary corresponding to the offshore wind power output power when the offshore wind power is off-grid; The first solving module is used to solve the penetration power evaluation model under the preset generator set output constraint and wind turbine set output constraint, and output the corresponding target wind power penetration power when the wind power penetration power is maximum; The wind power optimization model building module is used to use the target wind power penetration power as the power boundary of the scheduling optimization model, and then build a wind power optimization model according to the power boundary, offshore wind power operation cost, generator set startup cost, fuel cost and carbon dioxide emission cost; The second solving module is used to solve the wind power optimization model under the preset generator set output constraint and the offshore wind turbine set output constraint, and generate a number of wind power output powers when the total cost is minimized; The control module is used to control the output of wind turbines in the offshore integrated energy system according to the output power of each wind power.

9. A terminal device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a power scheduling method for an offshore integrated energy system as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a power scheduling method for an offshore integrated energy system as described in any one of claims 1 to 7.

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