New energy base sending and receiving end regulation resource collaborative planning method with built-in hydrogen energy supply chain

Abstract

The invention relates to a new energy base sending and receiving end regulation resource collaborative planning method with an embedded hydrogen energy supply chain, and belongs to the technical field of energy storage planning. Comprising the following steps: constructing a construction cost model based on battery energy storage power and energy storage capacity planned and constructed by a sending and receiving end, hydrogen energy storage power capacity and sending end electrolytic cell power capacity; constructing an annual operation cost model based on the hydrogen amount produced by the conventional hydrogen production source, the transported hydrogen amount, the load shedding power and the start-stop state of the electrolytic cell; constructing a carbon emission cost model based on the produced hydrogen amount; constructing an adjustment resource total cost target function by taking the minimum adjustment resource total cost as a target; and solving based on the hydrogen energy supply chain constraint, the new energy base output constraint and the receiving end power grid operation constraint to obtain a new energy base sending and receiving end adjustment resource collaborative planning scheme. According to the method, the demands of the new energy base sending end and the new energy base receiving end for resource adjustment are comprehensively considered for planning construction and operation, the new energy utilization rate is increased, and the energy storage adjustment effect is fully exerted.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage planning, and in particular relates to a collaborative planning method for regulating resources at the sending and receiving ends of a new energy base with an embedded hydrogen energy supply chain. Background Art

[0002] The construction of large-scale renewable energy power generation bases is of great significance to the construction of my country's new power system and the realization of energy transformation. However, the output characteristics of renewable energy have obvious seasonal characteristics, and the transmission output of renewable energy bases does not fully match the load demand characteristics of the receiving end. This mismatch will lead to long-term imbalance of electricity supply and demand in renewable energy bases. The use of short-term energy storage such as electrochemical energy storage currently has limited regulation capacity and is insufficient to cope with the problem of cross-seasonal energy storage needs; hydrogen energy storage, as a long-term energy storage technology, is expected to achieve large-scale cross-seasonal storage of energy. However, in existing energy storage planning research, only the regulation resource demand at the sending end of the new energy base is usually considered, and the complementary and coordinated regulation resources at the sending and receiving ends are less considered, resulting in unreasonable energy storage planning and unreasonable energy storage scheduling, which cannot effectively improve the utilization rate of renewable energy. Summary of the invention

[0003] In view of the above analysis, the present invention aims to provide a collaborative planning method for regulating resources at the sending and receiving ends of a new energy base with an embedded hydrogen energy supply chain, which comprehensively considers the needs of the sending and receiving ends of the new energy base for regulating resources to plan, construct and operate the regulating resources, thereby effectively improving the utilization rate of new energy while ensuring the stable and safe operation of the power grid.

[0004] The present invention provides a method for collaborative planning of resource regulation at a new energy base sending and receiving end with an embedded hydrogen energy supply chain, which specifically includes the following steps:

[0005] A construction cost model is constructed based on the power capacity of the battery energy storage, the energy storage capacity of the battery energy storage, the power capacity of the hydrogen energy storage and the power capacity of the electrolyzer planned and constructed at the sending end, and the power capacity of the battery energy storage, the energy storage capacity of the battery energy storage and the power capacity of the hydrogen energy storage planned and constructed at the receiving end;

[0006] An annual operating cost model is constructed based on the amount of hydrogen produced by conventional hydrogen production sources at different times of the year, the amount of hydrogen transported from the sending end to the receiving end, the load shedding power at the receiving end, and the start and stop status of the electrolyzer;

[0007] Construct a carbon emission cost model based on the amount of hydrogen produced by conventional hydrogen production sources at different times of the year;

[0008] Taking the minimum total cost of regulating resources as the goal, the total cost objective function of regulating resources is constructed based on the construction cost model, annual operation cost model and carbon emission cost model;

[0009] Based on the hydrogen energy supply chain constraints, the output constraints of the new energy base, and the receiving-end power grid operation constraints, the total cost objective function of the regulating resources is solved to obtain a coordinated planning scheme for the regulating resources at the sending and receiving ends of the new energy base.

[0010] Furthermore, the total cost objective function of the regulation resources is solved based on the hydrogen energy supply chain constraints, the output constraints of the new energy base, and the receiving-end power grid operation constraints to obtain the coordinated planning scheme for the regulation resources of the new energy base sending and receiving ends, including:

[0011] Based on the historical data of each month throughout the year, the data items of wind power output at the sending end, photovoltaic output at the sending end, wind power output at the receiving end, photovoltaic output at the receiving end, electric energy load, and hydrogen energy load are clustered to obtain the typical daily output of each data item in each month;

[0012] The typical daily output of each data item each month is taken as a set of boundary conditions, and the total cost objective function of the regulation resources is solved based on the twelve sets of boundary conditions throughout the year and the constraints, so as to obtain a coordinated planning scheme for the regulation resources at the sending and receiving ends of the new energy base, including the power capacity of the battery energy storage planned to be constructed at the sending end, the energy storage capacity of the battery energy storage, the power capacity of the hydrogen energy storage, and the power capacity of the electrolyzer, the power capacity of the battery energy storage planned to be constructed at the receiving end, the energy storage capacity of the battery energy storage, and the power capacity of the hydrogen energy storage, the amount of hydrogen produced by conventional hydrogen production sources in various periods of the year, the amount of hydrogen transported from the sending end to the receiving end, the load shedding power of the receiving end, and the start and stop status of the electrolyzer.

[0013] Furthermore, the construction cost model is expressed as:

[0014]

[0015] Among them, C INV is the construction cost; C INV,B and C INV,H are the construction costs of battery energy storage and hydrogen energy storage respectively; r is the discount rate; Y is the service life of the equipment; I B1 and I B2 are the unit construction cost of the power capacity of battery energy storage and the unit construction cost of energy storage capacity; C SEB and C REB are the power capacity of the battery energy storage at the sending end and the receiving end respectively; E SEB and E REB are the energy storage capacities of the batteries at the sending end and the receiving end respectively; I EL and I hS are the unit construction costs of the electrolyzer and hydrogen storage tank in hydrogen energy storage; C SHS and C RHS are the capacities of hydrogen storage tanks at the sending end and the receiving end respectively; C EL is the capacity of the electrolytic cell;.

[0016] Furthermore, the annual operating cost model is expressed as:

[0017]

[0018] Among them, C OM is the annual operating cost; D is the set of all natural days in the planning year; T is the set of hours in a natural day; The amount of hydrogen produced by conventional hydrogen production sources in t hours on d natural day; is the amount of hydrogen transported from the sending end to the receiving end in t hours on natural day d; GH is the unit hydrogen production cost of conventional hydrogen sources; c TP is the unit transportation cost of hydrogen; c VOLL Penalty costs for unit load shedding; is the load shedding power at the receiving end; and are the start-up and shutdown costs of the electrolyzer, respectively, and are determined based on the number of starts and stops of the electrolyzer, respectively.

[0019] Furthermore, the carbon emission cost model is expressed as:

[0020]

[0021] in, is the amount of hydrogen produced by conventional hydrogen production sources in d natural days and t hours; s Represents the CO2 emission intensity of conventional hydrogen production sources; σ c represents the carbon trading cost.

[0022] Furthermore, the hydrogen supply chain constraints include hydrogen production constraints, hydrogen storage constraints, and hydrogen supply constraints; wherein the hydrogen generation constraints include electrolyzer energy conversion constraints, electrolyzer temperature safety constraints, and electrolyzer start-stop constraints;

[0023] The output constraints of the new energy base include power balance constraints at the sending end, output constraints of new energy units at the sending end, battery energy storage operation constraints at the sending end, and low-carbon policy constraints;

[0024] The receiving-end power grid operation constraints include receiving-end power balance constraints, receiving-end new energy unit output constraints and receiving-end thermal power unit output constraints.

[0025] Furthermore, the electrolytic cell start and stop constraints are expressed as:

[0026]

[0027] in, is the working status indicator of the electrolytic cell, 1 is running, 0 is shutdown; T EL,on and T EL,offg are the minimum continuous operation and shutdown time of the electrolyzer respectively; EL,on and g EL,off They are the single startup and shutdown costs of the electrolytic cell respectively.

[0028] Furthermore, the electrolytic cell temperature safety constraint is expressed as:

[0029]

[0030] in, μ is the heat energy dissipated by the electrolytic cell due to air thermal radiation and water circulation; L is the heat dissipation coefficient of the electrolytic cell; is the internal temperature of the electrolytic cell; T R is the indoor temperature; C ez is the specific heat capacity of the electrolytic cell; Heat production of the electrolyzer; Heat provided to the electrolyzer auxiliary starting system; and T EL They represent the upper and lower limits of the temperature of the electrolytic cell respectively; M represents a sufficiently large constant.

[0031] Furthermore, the electrolyzer energy conversion constraint is expressed as:

[0032]

[0033] in, Indicates the amount of hydrogen produced by the electrolyzer; η EL is the energy conversion efficiency of the electrolyzer; is the output power of the electrolyzer; LHV H is the lower calorific value of hydrogen; C EL is the capacity of the electrolytic cell; is the input power of the electrolyzer; k EL is the conversion coefficient between the output power and input power of the electrolyzer; is the input power of the electrolyzer; r EL is the coefficient between the electrolyzer output power and temperature; It is the working status indicator of the electrolytic cell, 1 means running, 0 means shutdown; is the internal temperature of the electrolytic cell; r EL is the coefficient between the electrolyzer output power and temperature; is the heat generated by the electrolytic cell; r TH k is the coefficient between the heat generation of the electrolytic cell and the temperature; TH It is the conversion coefficient between the heat generated by the electrolytic cell and the input power.

[0034] Furthermore, the new energy penetration rate constraint is expressed as:

[0035]

[0036] Among them, P w,d,t and P p,d,t Represent the power generation of wind farm and photovoltaic power station respectively; and are the number of wind farms and photovoltaic power stations in the new energy base respectively; γ is the new energy penetration rate.

[0037] The present invention can achieve at least one of the following beneficial effects:

[0038] On the basis of taking into account the coupling of electricity and hydrogen in the new energy base, the needs for regulation resources at the sending and receiving ends of the new energy base are comprehensively considered. At the same time, the energy conversion characteristics inside the electrolyzer, the temperature safety constraints and start-stop constraints of the electrolyzer are considered in the process of establishing a conventional hydrogen energy supply chain. This is helpful to analyze the coordinated planning of power transmission and hydrogen transmission in the new energy base, improve the modeling accuracy, and obtain the coordinated planning scheme for regulation resources at the sending and receiving ends of the new energy base, give full play to the role of the coordinated work of hydrogen energy storage and electric energy storage, and ensure that the long-term power supply and demand of the new energy base is balanced.

[0039] By taking the month as the scale for typical scene division, the K-means clustering algorithm is used to cluster the data items of sending-end wind power output, sending-end photovoltaic output, receiving-end wind power output, receiving-end photovoltaic output, electric energy load, and hydrogen energy load, so that within the same month, the set typical day transmission target curve is close to the actual natural day curve, which can accurately correspond to the output scenarios of wind power and photovoltaic on typical days, retain the seasonal characteristics of wind power and photovoltaic output, and effectively improve the accuracy of solving the objective function.

[0040] Other features and advantages of the present invention will be described in the following description, and some advantages may become apparent from the description, or may be understood by practicing the present invention. The purpose and other advantages of the present invention may be realized and obtained through the contents particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings are only used for the purpose of illustrating specific embodiments and are not to be considered as limiting the present invention. In the entire drawings, the same reference symbols represent the same components;

[0042] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0043] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0044] Embodiment 1

[0045] A specific embodiment of the present invention discloses a collaborative planning method for regulating resources at the sending and receiving ends of a new energy base with an embedded hydrogen energy supply chain, which comprehensively considers the demand for regulating resources at the sending and receiving ends of the new energy base to plan, construct and operate the regulating resources, wherein the regulating resources include battery energy storage and hydrogen energy storage at the sending and receiving ends, and an electrolyzer at the sending end;

[0046] The method of this embodiment specifically includes the following steps:

[0047] Step S01, constructing a construction cost model based on the power capacity of the battery energy storage, the energy storage capacity of the battery energy storage, the power capacity of the hydrogen energy storage and the power capacity of the electrolyzer planned to be constructed at the sending end, and the power capacity of the battery energy storage, the energy storage capacity of the battery energy storage and the power capacity of the hydrogen energy storage planned to be constructed at the receiving end;

[0048] Step S02: construct an annual operation cost model based on the amount of hydrogen produced by conventional hydrogen production sources at each time period throughout the year, the amount of hydrogen transported from the sending end to the receiving end, the load shedding power of the receiving end, and the start and stop status of the electrolyzer;

[0049] Step S03: construct a carbon emission cost model based on the amount of hydrogen produced by conventional hydrogen production sources at each time period throughout the year;

[0050] Step S04: Taking the minimum total cost of regulating resources as the goal, constructing a total cost objective function of regulating resources based on the construction cost model, the annual operation cost model and the carbon emission cost model;

[0051] Step S05: Based on the historical data of each month throughout the year, the sending-end wind power output, the sending-end photovoltaic output, the receiving-end wind power output, the receiving-end photovoltaic output, the electric energy load, and the hydrogen energy load are clustered to obtain the typical daily output of each data item in each month;

[0052] The typical daily output of each data item each month is used as a set of boundary conditions. Based on the twelve sets of boundary conditions throughout the year, as well as the hydrogen energy supply chain constraints, the output constraints of the new energy base, and the operation constraints of the receiving-end power grid, the total cost objective function of the regulation resources is solved to obtain a coordinated planning scheme for the regulation resources of the new energy base sending and receiving ends.

[0053] The collaborative planning scheme includes: the power capacity of the battery energy storage planned to be constructed at the sending end, the energy storage capacity of the battery energy storage, the power capacity of the hydrogen energy storage, the power capacity of the electrolyzer, the power capacity of the battery energy storage planned to be constructed at the receiving end, the energy storage capacity of the battery energy storage, the power capacity of the hydrogen energy storage, the amount of hydrogen produced by conventional hydrogen production sources at various times throughout the year, the amount of hydrogen transported from the sending end to the receiving end, the load shedding power of the receiving end, and the start and stop status of the electrolyzer.

[0054] In this embodiment, the needs of the sending and receiving ends of the new energy base for regulating resources are comprehensively considered on the basis of taking into account the coupling of electricity and hydrogen in the new energy base, and the planning, construction and operation scheduling of energy storage are carried out by comprehensively considering the needs of the sending and receiving ends of the new energy base for regulating resources, so as to obtain a coordinated planning scheme for regulating resources at the sending and receiving ends of the new energy base, give full play to the regulating effect of the coordinated work of hydrogen energy storage and electric energy storage on the power grid, ensure that the long-term balance of electricity supply and demand in the new energy base is achieved, and ensure the stable and safe operation of the power grid while effectively improving the utilization rate of new energy.

[0055] Embodiment 2

[0056] In a specific embodiment of the present invention, in step S01, the construction cost model is expressed as:

[0057]

[0058] Among them, C INV is the construction cost; C INV,B and C INV,H are the construction costs of battery energy storage and hydrogen energy storage respectively; r is the discount rate; Y is the service life of the equipment; I B1 and I B2 are the unit construction cost of the power capacity of battery energy storage and the unit construction cost of energy storage capacity; C SEB and C REB are the power capacity of the battery energy storage at the sending end and the receiving end respectively; E SEB and E REB are the energy storage capacities of the batteries at the sending end and the receiving end respectively; I EL and I HS are the unit construction costs of the electrolyzer and hydrogen storage tank in hydrogen energy storage; C SHS and C RHS are the capacities of hydrogen storage tanks at the sending end and the receiving end respectively; C EL is the capacity of the electrolytic cell;.

[0059] Specifically, in step S02, the annual operating cost model is expressed as:

[0060]

[0061] Among them, C OM is the annual operating cost; D is the set of all natural days in the planning year; T is the set of hours in a natural day; The amount of hydrogen produced by conventional hydrogen production sources in t hours on d natural day; is the amount of hydrogen transported from the sending end to the receiving end in t hours on natural day d; GH is the unit hydrogen production cost of conventional hydrogen sources; c TP is the unit transportation cost of hydrogen; c VOLL Penalty costs for unit load shedding; is the load shedding power at the receiving end; and are respectively the start-up and shutdown costs of the electrolyzer, which are determined based on the start-up and shutdown times of the electrolyzer. It should be noted that in the present invention, the non-electrolytic hydrogen production source is regarded as a conventional hydrogen production source.

[0062] Specifically, in step S03, the carbon emission cost model is expressed as:

[0063]

[0064] in, is the amount of hydrogen produced by conventional hydrogen production sources in d natural days and t hours; s Represents the CO2 emission intensity of conventional hydrogen production sources; σ c represents the carbon trading cost.

[0065] Specifically, in step S04, the total cost of regulating resources includes the construction cost, the annual operation cost and the carbon emission cost; the objective function is expressed as:

[0066] minC total =C INV +C OM +C ENV ;

[0067] Among them C total To adjust the total cost of resources.

[0068] Specifically, in step S05, the hydrogen supply chain constraints include hydrogen production constraints, hydrogen storage constraints, and hydrogen supply constraints; wherein the hydrogen generation constraints include electrolyzer energy conversion constraints, electrolyzer temperature safety constraints, and electrolyzer start-stop constraints;

[0069] The output constraints of the new energy base include power balance constraints at the sending end, output constraints of new energy units at the sending end, battery energy storage operation constraints at the sending end, and new energy penetration constraints;

[0070] The receiving-end power grid operation constraints include receiving-end power balance constraints, receiving-end new energy unit output constraints and receiving-end thermal power unit output constraints.

[0071] Furthermore, the electrolyzer energy conversion constraint is expressed as:

[0072]

[0073] in, Indicates the amount of hydrogen produced by the electrolyzer; η EL is the energy conversion efficiency of the electrolyzer; is the output power of the electrolyzer; LHV His the lower calorific value of hydrogen; C EL is the capacity of the electrolytic cell; is the input power of the electrolyzer; k EL is the conversion coefficient between the output power and input power of the electrolyzer; is the input power of the electrolyzer; r EL is the coefficient between the electrolyzer output power and temperature; It is the working status indicator of the electrolytic cell, 1 means running, 0 means shutdown; is the internal temperature of the electrolytic cell; r EL is the coefficient between the electrolyzer output power and temperature; is the heat generated by the electrolytic cell; r TH k is the coefficient between the heat generation of the electrolytic cell and the temperature; TH It is the conversion coefficient between the heat generated by the electrolytic cell and the input power.

[0074] Furthermore, during the electrolysis process, due to the thermal effect of the electric current and the electrochemical reaction, when the heat generated by the electrolytic cell is greater than its heat dissipation, the temperature of the electrolytic cell will increase accordingly. Excessively high temperature will affect the efficiency and safety of the electrolytic cell, and will also increase the loss of components. Therefore, the temperature needs to be controlled within a reasonable range.

[0075] The electrolytic cell temperature safety constraint is expressed as:

[0076]

[0077] in, μ is the heat energy dissipated by the electrolytic cell due to air thermal radiation and water circulation; L is the heat dissipation coefficient of the electrolytic cell; is the internal temperature of the electrolytic cell; T R is the indoor temperature; C ez is the specific heat capacity of the electrolytic cell; Heat production of the electrolyzer; Heat provided to the electrolyzer auxiliary starting system; and T EL They represent the upper and lower limits of the temperature of the electrolytic cell respectively; M represents a sufficiently large constant.

[0078] Furthermore, the electrolytic cell start and stop constraints are expressed as:

[0079]

[0080] in, is the working status indicator of the electrolytic cell, 1 is running, 0 is shutdown; T EL,on and T EL,off g are the minimum continuous operation and shutdown time of the electrolyzer respectively; EL,on and gEL,of They are the single startup and shutdown costs of the electrolyzer, respectively. It should be noted that giving the electrolyzer a certain startup and shutdown time can avoid damage caused by changes in temperature and pressure.

[0081] Furthermore, there are various ways to store hydrogen, but the basic energy storage rules are the same. Therefore, the hydrogen storage constraints are described by taking the hydrogen storage tank as a representative, which is expressed as:

[0082]

[0083] in, and represents the hydrogen storage capacity in the hydrogen storage tanks at the sending end and the receiving end at t hours on d natural day; ζ loss Represents the storage loss coefficient of the hydrogen storage tank; is the amount of hydrogen transported from the sending end to the receiving end in d natural day and t hours; and Indicates the amount of hydrogen stored and released from the hydrogen storage tank at the delivery end; and Indicates the amount of hydrogen stored and released in the receiving end hydrogen storage tank; C SHS and C RHS are the capacities of the hydrogen storage tanks at the sending and receiving ends respectively.

[0084] Furthermore, the hydrogen supply constraint is expressed as:

[0085]

[0086] in, is the amount of hydrogen produced by the conventional hydrogen production source at hour t on day d; and H GH They represent the upper and lower limits of hydrogen production per unit time of conventional hydrogen production sources; is the hydrogen load.

[0087] Furthermore, the sending-end power balance constraint is expressed as:

[0088]

[0089] Among them, P w,d,t and P p,d,t They represent the power generation of the wind farm and photovoltaic power station at the sending end, i.e., the new energy base; They are the charging power and discharging power of battery energy storage in the new energy base; and They are the number of wind farms, photovoltaic power stations and battery energy storage in the new energy base; is the input power of the electrolyzer; It is the power transmitted to the new energy base.

[0090] Furthermore, the output constraint of the new energy generating unit at the sending end is expressed as:

[0091]

[0092] Among them, π w,d,t and π p,d,t Respectively represent the capacity factors of wind farms and photovoltaic power stations; C W and C P Respectively represent the installed capacity of existing wind farms and photovoltaic power stations.

[0093] Furthermore, the sending-end battery energy storage operation constraint is expressed as:

[0094]

[0095] in, Indicates the SOC (battery state of charge) of the battery energy storage; η B It is the charging and discharging efficiency of battery energy storage.

[0096] Furthermore, the new energy penetration rate constraint is expressed as:

[0097]

[0098] Among them, P w,d,t and P p,d,t Represent the power generation of wind farm and photovoltaic power station respectively; and are the number of wind farms and photovoltaic power stations in the new energy base respectively; γ is the new energy penetration rate.

[0099] Furthermore, the receiving end power balance constraint is expressed as:

[0100]

[0101] Among them, P w′,d,t and P p′,d,t They represent the power generation of the wind farm and photovoltaic power station at the receiving end respectively; P g,d,t Indicates the power generation capacity of the thermal power unit at the receiving end; and Respectively represent the charging power and discharging power of the battery energy storage at the receiving end; L d,t is the load demand at the receiving end; is the load shedding power at the receiving end; and They are respectively the wind farm, photovoltaic power station, thermal power unit and battery energy storage set of the receiving power grid.

[0102] Furthermore, the output constraint of the receiving-end new energy unit is the same as the output constraint of the sending-end new energy unit, which will not be repeated here.

[0103] Furthermore, the output constraint of the receiving-end thermal power unit is expressed as:

[0104]

[0105] Among them, λ min and λ max are the minimum output ratio and maximum output ratio of thermal power units respectively; C G is the capacity of thermal power unit; It is the working status mark of the thermal power unit, 1 means running, 0 means shutdown; and are the up and down ramp rates of thermal power unit g respectively; T TG,on and T TG,off They are the minimum continuous operation and shutdown time of thermal power units respectively.

[0106] Specifically, in step S05, the K-means clustering algorithm is used to cluster the data items of the sending-end wind power output, the sending-end photovoltaic output, the receiving-end wind power output, the receiving-end photovoltaic output, the electric energy load, and the hydrogen energy load of each month based on the historical data of each month throughout the year to obtain the typical daily output of each data item in each month.

[0107] Furthermore, when solving the objective function, the typical daily output of each data item in each month is used as a set of boundary conditions. Exemplarily, a solver such as Cplex is used to solve the objective function of the total cost of the regulating resources based on the twelve sets of boundary conditions throughout the year as well as the hydrogen energy supply chain constraints, the output constraints of the new energy base, and the operating constraints of the receiving-end power grid, to obtain a coordinated planning scheme for the regulating resources of the new energy base at the sending and receiving ends, including: the power capacity of the battery energy storage planned to be constructed at the sending end, the energy storage capacity of the battery energy storage, the power capacity of the hydrogen energy storage, the power capacity of the electrolyzer, the power capacity of the battery energy storage planned to be constructed at the receiving end, the energy storage capacity of the battery energy storage, the power capacity of the hydrogen energy storage, the amount of hydrogen produced by conventional hydrogen production sources in various periods of the year, the amount of hydrogen transported from the sending end to the receiving end, the load shedding power of the receiving end, and the start and stop status of the electrolyzer.

[0108] The present embodiment discloses a method for collaborative planning of regulating resources at the sending and receiving ends of a new energy base with an embedded hydrogen energy supply chain. The method comprehensively considers the demands for regulating resources at the sending and receiving ends of the new energy base on the basis of taking into account the coupling of electricity and hydrogen in the new energy base. Meanwhile, the energy conversion characteristics inside the electrolyzer, the temperature safety constraints of the electrolyzer, and the start-stop constraints are considered in the process of establishing a conventional hydrogen energy supply chain. The method accurately describes the conversion relationship between the two heterogeneous energy sources of electricity and hydrogen, helps to analyze the collaborative planning of power transmission and hydrogen transmission in the new energy base, improves the modeling accuracy, obtains the collaborative planning scheme for regulating resources at the sending and receiving ends of the new energy base, gives full play to the collaborative work of hydrogen energy storage and electric energy storage, and ensures that the long-term power supply and demand of the new energy base is balanced.

[0109] By taking the month as the scale for typical scene division, the K-means clustering algorithm is used to cluster the data items of sending-end wind power output, sending-end photovoltaic output, receiving-end wind power output, receiving-end photovoltaic output, electric energy load, and hydrogen energy load, so that within the same month, the set typical day transmission target curve is close to the actual natural day curve, which can accurately correspond to the output scenarios of wind power and photovoltaic on typical days, retain the seasonal characteristics of wind power and photovoltaic output, and effectively improve the accuracy of solving the objective function.

[0110] Embodiment 3

[0111] A specific embodiment of the present invention provides a collaborative planning device for regulating sending and receiving resources at a new energy base with an embedded hydrogen energy supply chain. The device includes a memory, a processor, and a computer program stored in the memory and executable on the processor.

[0112] When the processor executes the computer program, the method for collaborative planning of regulating resources at the sending and receiving ends of a new energy base with an embedded hydrogen energy supply chain as described in Embodiment 1 or Embodiment 2 of the present invention is implemented.

[0113] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0114] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for collaborative planning of resource regulation at a new energy base with an embedded hydrogen energy supply chain, characterized in that: The steps include: A construction cost model is constructed based on the power capacity of the battery energy storage, the energy storage capacity of the battery energy storage, the power capacity of the hydrogen energy storage and the power capacity of the electrolyzer planned and constructed at the sending end, and the power capacity of the battery energy storage, the energy storage capacity of the battery energy storage and the power capacity of the hydrogen energy storage planned and constructed at the receiving end; An annual operating cost model is constructed based on the amount of hydrogen produced by conventional hydrogen production sources at different times of the year, the amount of hydrogen transported from the sending end to the receiving end, the load shedding power at the receiving end, and the start and stop status of the electrolyzer; Construct a carbon emission cost model based on the amount of hydrogen produced by conventional hydrogen production sources at different times of the year; Taking the minimum total cost of regulating resources as the goal, the total cost objective function of regulating resources is constructed based on the construction cost model, annual operation cost model and carbon emission cost model; Based on the hydrogen energy supply chain constraints, the output constraints of the new energy base, and the receiving-end power grid operation constraints, the total cost objective function of the regulating resources is solved to obtain a coordinated planning scheme for the regulating resources at the sending and receiving ends of the new energy base.

2. The collaborative planning method according to claim 1, characterized in that: The total cost objective function of the regulation resource is solved based on the hydrogen energy supply chain constraints, the output constraints of the new energy base, and the operation constraints of the receiving-end power grid to obtain the coordinated planning scheme for the regulation resource of the new energy base sending and receiving ends, including: Based on the historical data of each month throughout the year, the data items of wind power output at the sending end, photovoltaic output at the sending end, wind power output at the receiving end, photovoltaic output at the receiving end, electric energy load, and hydrogen energy load are clustered to obtain the typical daily output of each data item in each month; The typical daily output of each data item each month is taken as a set of boundary conditions, and the total cost objective function of the regulation resources is solved based on the twelve sets of boundary conditions throughout the year and the constraints, so as to obtain a coordinated planning scheme for the regulation resources at the sending and receiving ends of the new energy base, including the power capacity of the battery energy storage planned to be constructed at the sending end, the energy storage capacity of the battery energy storage, the power capacity of the hydrogen energy storage, and the power capacity of the electrolyzer, the power capacity of the battery energy storage planned to be constructed at the receiving end, the energy storage capacity of the battery energy storage, and the power capacity of the hydrogen energy storage, the amount of hydrogen produced by conventional hydrogen production sources in various periods of the year, the amount of hydrogen transported from the sending end to the receiving end, the load shedding power of the receiving end, and the start and stop status of the electrolyzer.

3. The collaborative planning method according to claim 1 or 2, characterized in that: The construction cost model is expressed as: Among them, C INV is the construction cost; C INV,B and C INV,H are the construction costs of battery energy storage and hydrogen energy storage respectively; r is the discount rate; Y is the service life of the equipment; I B1 and I B2 are the unit construction cost of the power capacity of battery energy storage and the unit construction cost of energy storage capacity; C SEB and C REB are the power capacity of the battery energy storage at the sending end and the receiving end respectively; E SEB and E REB are the energy storage capacities of the batteries at the sending end and the receiving end respectively; I EL and I HS are the unit construction costs of the electrolyzer and hydrogen storage tank in hydrogen energy storage; C SHS and C RHS are the capacities of hydrogen storage tanks at the sending end and the receiving end respectively; C EL is the capacity of the electrolytic cell.

4. The collaborative planning method according to claim 3, characterized in that: The annual operating cost model is expressed as: Among them, C OM is the annual operating cost; D is the set of all natural days in the planning year; T is the set of hours in a natural day; The amount of hydrogen produced by conventional hydrogen production sources in t hours on d natural day; is the amount of hydrogen transported from the sending end to the receiving end in t hours on natural day d; GH is the unit hydrogen production cost of conventional hydrogen sources; c TP is the unit transportation cost of hydrogen; c VOLL Penalty costs for unit load shedding; is the load shedding power at the receiving end; and are the start-up and shutdown costs of the electrolyzer, respectively, and are determined based on the number of starts and stops of the electrolyzer, respectively.

5. The collaborative planning method according to claim 4, characterized in that: The carbon emission cost model is expressed as: in, is the amount of hydrogen produced by conventional hydrogen production sources in d natural days and t hours; s Represents the CO2 emission intensity of conventional hydrogen production sources; σ c represents the carbon trading cost.

6. The collaborative planning method according to claim 5, characterized in that: The hydrogen supply chain constraints include hydrogen production constraints, hydrogen storage constraints, and hydrogen supply constraints; wherein the hydrogen generation constraints include electrolyzer energy conversion constraints, electrolyzer temperature safety constraints, and electrolyzer start-stop constraints; The output constraints of the new energy base include power balance constraints at the sending end, output constraints of new energy units at the sending end, battery energy storage operation constraints at the sending end, and new energy penetration constraints; The receiving-end power grid operation constraints include receiving-end power balance constraints, receiving-end new energy unit output constraints and receiving-end thermal power unit output constraints.

7. The collaborative planning method according to claim 6, characterized in that: The electrolyzer start and stop constraints are expressed as: in, is the working status indicator of the electrolytic cell, 1 is running, 0 is shutdown; T EL,on and T EL,off g are the minimum continuous operation and shutdown time of the electrolyzer respectively; EL,on and g EL,off They are the single startup and shutdown costs of the electrolytic cell respectively.

8. The collaborative planning method according to claim 6, characterized in that: The electrolytic cell temperature safety constraint is expressed as: in, μ is the heat energy dissipated by the electrolytic cell due to air thermal radiation and water circulation; L is the heat dissipation coefficient of the electrolytic cell; is the internal temperature of the electrolytic cell; T R is the indoor temperature; C ez is the specific heat capacity of the electrolytic cell; Heat production of the electrolyzer; Heat provided to the electrolyzer auxiliary starting system; and T EL They represent the upper and lower limits of the temperature of the electrolytic cell respectively; M represents a sufficiently large constant.

9. The collaborative planning method according to claim 6, characterized in that: The electrolyzer energy conversion constraint is expressed as: in, Indicates the amount of hydrogen produced by the electrolyzer; η EL is the energy conversion efficiency of the electrolyzer; is the output power of the electrolyzer; LHV H is the lower calorific value of hydrogen; C EL is the capacity of the electrolytic cell; is the input power of the electrolyzer; k EL is the conversion coefficient between the output power and input power of the electrolyzer; is the input power of the electrolyzer; r EL is the coefficient between the electrolyzer output power and temperature; It is the working status indicator of the electrolytic cell, 1 means running, 0 means shutdown; is the internal temperature of the electrolytic cell; r EL is the coefficient between the electrolyzer output power and temperature; is the heat generated by the electrolytic cell; r TH k is the coefficient between the heat generation of the electrolytic cell and the temperature; TH It is the conversion coefficient between the heat generated by the electrolytic cell and the input power.

10. The collaborative planning method according to claim 6, characterized in that: The new energy penetration rate constraint is expressed as: Among them, P w,d,t and P p,d,t Represent the power generation of wind farm and photovoltaic power station respectively; and are the number of wind farms and photovoltaic power stations in the new energy base respectively; γ is the new energy penetration rate.

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