CN117196332A - Power transmission network energy storage planning method and device, storage medium and electronic equipment - Google Patents

Abstract

The invention discloses a power transmission network energy storage planning method, a device, a storage medium and electronic equipment. The method comprises the following steps: determining a first objective function corresponding to the upper power transmission network based on the total investment construction cost of the power transmission line, the total investment construction cost of the long-term energy storage device and the short-term energy storage device, and the total annual running cost of the lower power transmission network; determining a second objective function corresponding to the lower-layer power transmission network based on the wind discarding cost of the wind generating set, the discarding cost of the photovoltaic generating set, the set start-stop cost of the thermal power generating set, the load shedding cost of the load node and the carbon emission cost of the thermal power generating set; constructing a power transmission network energy storage planning model according to the first objective function and the second objective function; and based on the topological structure of the power transmission line, adopting a power transmission network energy storage planning model to obtain an energy storage planning result. The method solves the technical problems of low energy storage planning accuracy and poor applicability caused by incomplete consideration factors of the energy storage planning method of the power transmission network in the related technology.

Description

Power transmission network energy storage planning method and device, storage medium and electronic equipment

Technical Field

The invention relates to the field of power system planning, in particular to a power transmission network energy storage planning method, a device, a storage medium and electronic equipment.

Background

The new energy power supply is gradually and widely applied in the power system due to the characteristics of flexibility, economy, environmental protection and the like so as to solve the problems of energy shortage, environmental protection and the like. However, the fluctuation, randomness and intermittence of the power output of the new energy source bring risks to the safety and stability of the power system; in addition, because the phenomena of wind abandoning and light abandoning often occur in places with abundant new energy sources, the serious waste of the energy sources is caused. Therefore, smoothing the new energy output curve and increasing the consumption of new energy become important points.

In recent years, the flexibility of the electric power system is more and more emphasized, and the installed share of the thermal power which is an important adjustment resource for coping with the unbalance of the electric power and the electric power between wind/light power generation and electric loads is continuously replaced by wind power and photovoltaic, and the development of the water power is limited by geographic positions, so that the energy storage technology is taken as an important flexible resource and becomes a main adjustment means for the unbalance of the electric power of the system. The energy storage is divided into short-term energy storage and long-term energy storage, the short-term energy storage mainly provides services of peak regulation, frequency modulation, climbing and the like in the day facing the power system and is used for stabilizing short-scale power fluctuation, the long-term energy storage is taken as an important mode of large-scale and long-term energy storage, energy transfer in a long-term and wide-area space range can be achieved, the long-term energy storage and the short-term energy storage are mutually matched to provide omnibearing support for the flexibility requirements of the high-proportion renewable energy power system in different time scales, and the coordination effect of the long-term energy storage and the short-term energy storage is considered in the cooperative planning of the power transmission network and the energy storage, so that reasonable configuration and application of the long-term energy storage and the short-term energy storage are achieved. However, in the related art, the energy storage planning for the power transmission network has single consideration factor (such as considering only short-term energy storage or long-term energy storage), incomplete consideration factor and low accuracy and applicability of the energy storage planning.

In view of the above problems, no effective solution has been proposed at present.

Disclosure of Invention

The embodiment of the invention provides a power transmission network energy storage planning method, a device, a storage medium and electronic equipment, which at least solve the technical problems of low energy storage planning accuracy and poor applicability caused by incomplete consideration factors of the power transmission network energy storage planning method in the related technology.

According to an aspect of an embodiment of the present invention, there is provided a power transmission network energy storage planning method, including: determining a first objective function corresponding to an upper layer power transmission network in a power transmission network based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of long-term energy storage equipment and short-term energy storage equipment and the total annual running cost corresponding to the lower layer power transmission network; determining a second objective function corresponding to a lower power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind generating set in the power transmission network, the light discarding cost corresponding to the photovoltaic generating set, the set start-stop cost corresponding to the thermal power generating set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generating set; constructing a power transmission network energy storage planning model according to the first objective function and the second objective function; and obtaining an energy storage planning result of the power transmission network by adopting the power transmission network energy storage planning model based on a topological structure corresponding to the power transmission line, wherein the topological structure comprises running state information of the power transmission line.

According to another aspect of the embodiment of the present invention, there is also provided a power transmission network energy storage planning apparatus, including: the first determining module is used for determining a first objective function corresponding to an upper layer power transmission network in the power transmission network based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of the long-term energy storage equipment and the short-term energy storage equipment and the annual operation total cost corresponding to the lower layer power transmission network; the second determining module is used for determining a second objective function corresponding to a lower layer power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind power generation set, the light discarding cost corresponding to the photovoltaic power generation set, the unit start-stop cost corresponding to the thermal power generation set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generation set in the power transmission network; the construction module is used for constructing a power transmission network energy storage planning model according to the first objective function and the second objective function; the acquisition module is used for acquiring an energy storage planning result of the power transmission network by adopting the power transmission network energy storage planning model based on a topological structure corresponding to the power transmission line, wherein the topological structure comprises running state information of the power transmission line.

According to another aspect of an embodiment of the present invention, there is also provided a non-volatile storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform any one of the grid energy storage planning methods.

According to another aspect of the embodiments of the present invention, there is also provided an electronic device including one or more processors and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement any one of the grid energy storage planning methods.

In the embodiment of the invention, a first objective function corresponding to an upper layer power transmission network in a power transmission network is determined based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of long-term energy storage equipment and short-term energy storage equipment and the total annual running cost corresponding to the lower layer power transmission network; determining a second objective function corresponding to a lower power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind generating set in the power transmission network, the light discarding cost corresponding to the photovoltaic generating set, the set start-stop cost corresponding to the thermal power generating set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generating set; constructing a power transmission network energy storage planning model according to the first objective function and the second objective function; based on the topological structure corresponding to the power transmission line, the power transmission network energy storage planning model is adopted to obtain an energy storage planning result of the power transmission network, wherein the topological structure comprises the running state information of the power transmission line, the purpose of comprehensively carrying out power transmission network energy storage planning is achieved, the technical effects of improving the accuracy and applicability of power transmission network energy storage planning are achieved, and the technical problems of low energy storage planning accuracy and poor applicability caused by incomplete consideration of a power transmission network energy storage planning method in the related art are solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:

FIG. 1 is a schematic diagram of a power transmission grid energy storage planning method according to an embodiment of the present application;

FIG. 2 is a schematic diagram of an alternative grid energy storage planning method according to an embodiment of the application;

fig. 3 is a schematic diagram of a grid energy storage planning apparatus according to an embodiment of the application.

Detailed Description

In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

In accordance with an embodiment of the present invention, a method embodiment of grid energy storage planning is provided, it being noted that the steps illustrated in the flow diagrams of the figures may be performed in a computer system, such as a set of computer executable instructions, and, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order other than that illustrated herein.

Fig. 1 is a flowchart of a power transmission network energy storage planning method according to an embodiment of the present invention, as shown in fig. 1, the method includes the steps of:

step S102, determining a first objective function corresponding to an upper layer power transmission network in the power transmission network based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of the long-term energy storage equipment and the short-term energy storage equipment, and the total annual running cost corresponding to a lower layer power transmission network.

In an alternative embodiment, determining a first objective function corresponding to an upper grid in a grid based on a total investment construction cost of a power transmission line in the grid, a total investment construction cost of a long-term energy storage device and a short-term energy storage device, and a total annual running cost corresponding to a lower grid, includes: the total investment construction cost of the power transmission line, the total investment construction cost of the long-term energy storage equipment and the short-term energy storage equipment and the total annual running cost corresponding to the lower power transmission network are the smallest as a first objective function.

The method comprises the steps of constructing a first objective function of an upper model comprising the total investment construction cost of a power transmission line, the total investment construction cost of long-term energy storage and short-term energy storage and the total annual running cost returned by the lower model, wherein the expression is as follows:

minf＝f _line +f _ess +f _ope

f in the expression _line The total investment construction cost of the transmission line is expressed as follows:

wherein Y representsIs the overall planning phase (i.e., the preset time period); t (T) _line The economic service life of the power transmission line is prolonged; r is (r) ₀ Is the discount rate; c _ij Investment cost for line units; n (N) _P Is a line set to be built; l (L) _ij Is the length of the line;and in order to newly establish a 0-1 decision variable of the p-th line in the y-th year in the branch ij, if the line is constructed, the value is 1, otherwise, the value is 0.

F in the expression _ess The total investment construction cost for long-term energy storage and short-term energy storage is expressed as follows:

f _ess ＝f _{ess_d} +f _{ess_LDES}

wherein f _{ess_d} And f _LDES Total investment construction costs of the short-term energy storage device and the long-term energy storage device respectively; t (T) _{ess_d} And T _LDES Economic service lives of the short-term energy storage device and the long-term energy storage device respectively; n (N) _{ess_d} And N _LDES The node sets are respectively a short-term energy storage device and a long-term energy storage device to be installed; x is x _ess,i,y And x _LDES,i,y Respectively configuring 0-1 decision variables of the short-term energy storage equipment and the long-term energy storage equipment for the node i in the y-th year, wherein the value is 1 if the energy storage equipment is built, and the value is 0 otherwise; c _p And c _e Building unit power and unit capacity investment cost of short-term energy storage equipment for the node i respectively; c _PI 、c _CI And c _EI Respectively building discharge power capacity, charging power capacity and energy storage capacity unit investment cost of the long-term energy storage equipment for the node i;and->Respectively building power and capacity of short-term energy storage equipment in a node i for the y-th year; />And->And respectively constructing discharge power capacity, charging power capacity and energy storage capacity of the long-term energy storage equipment at the node i in the y-th year.

F in the expression _ope The total cost of annual operation for the lower model to return to the upper model.

Step S104, determining a second objective function corresponding to a lower layer power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind generating set in the power transmission network, the light discarding cost corresponding to the photovoltaic generating set, the set start-stop cost corresponding to the thermal power generating set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generating set.

In an alternative embodiment, based on a wind curtailment cost corresponding to a wind generating set in a power transmission network, a light curtailment cost corresponding to a photovoltaic generating set, a unit start-stop cost corresponding to a thermal power generating set, a load shedding cost corresponding to a load node, and a carbon emission cost corresponding to a thermal power generating set, determining a second objective function corresponding to a lower power transmission network in the power transmission network includes: the sum of the wind discarding cost, the light discarding cost, the unit start-stop cost, the load shedding cost and the carbon emission cost is minimized as a second objective function.

Optionally, the second objective function corresponding to the lower model is:

minf _ope ＝f _wind +f _solar +f _start +f _nse +f _co2 +f _gen

the objective function of the upper model mainly comprises five parts, wherein the first part is the cost f of the abandoned wind _wind The method comprises the steps of carrying out a first treatment on the surface of the The second part is the light discarding cost f _solar The method comprises the steps of carrying out a first treatment on the surface of the The third part is the start-stop cost f of the unit _start The method comprises the steps of carrying out a first treatment on the surface of the The fourth part is the cut load cost f _nse The method comprises the steps of carrying out a first treatment on the surface of the The fifth part is the unit operation cost f _gen (i.e., carbon emission costs). N (N) _wind 、N _solar 、N _G And N _l The system comprises a wind power plant set, a photovoltaic power station set, a fire motor set and a load node set; c _wind 、c _solar 、c _Voll 、c _co2 And c _gen The unit electricity quantity wind discarding cost, the unit load shedding cost, the carbon dioxide unit emission cost and the unit electricity quantity power generation cost are respectively;and P _wind,y,j,t Respectively presetting the predicted power and the actual output power of a wind farm (namely a wind generating set) in a sampling period t (hereinafter referred to as period t) of the y-th year; />And P _solar,y,j,t Respectively the predicted power and the actual output power of the photovoltaic power station (namely the photovoltaic generator set) in the y-th period t; t=8760 is a scheduling period, and the operation layer is used for reflecting the interaction of long-term energy storage gentle seasonal fluctuation and short-term energy storage balance intra-day fluctuation, and panoramic time sequence simulation is selected, namely time sequence simulation is carried out for 8760 hours of a whole year; c _SU,g,y 、c _SD,g,y Respectively representing the starting-up and stopping-up costs of the g-th thermal power generating unit in the y-th year; / >Respectively representing 0-1 state variables of starting and stopping of the g-th thermal power generating unit in the y-th year, wherein 1 represents the starting/stopping state of the unit, and 0 represents the normal operation or the stopping state of the unit; p (P) _nse,y,l,t The tangential load quantity of the load node l in the y-th year period t; p (P) _gen,y,g,t The output of the power generating unit in the period t is the output of the g thermal power generating unit in the y year.

And S106, constructing a power transmission network energy storage planning model according to the first objective function and the second objective function.

In an alternative embodiment, constructing a grid energy storage planning model from the first objective function and the second objective function includes: determining a first constraint condition corresponding to the first objective function and a second constraint condition corresponding to the second objective function, wherein the first constraint condition at least comprises: the equipment construction constraint and the energy storage equipment capacity constraint, and the second constraint condition at least comprises: long-term energy storage balance constraint, short-term energy storage balance constraint and power transmission line residual capacity constraint; and constructing an energy storage planning model of the power transmission network according to the first objective function, the first constraint condition, the second objective function and the second constraint condition.

Alternatively, the device build constraints described above may include, but are not limited to: and (3) constructing constraints of the transmission line and constructing constraints of the energy storage equipment. By the method, when the power transmission network energy storage planning model is constructed, the seasonal fluctuation and the daily fluctuation gentle effect of long-term energy storage and short-term energy storage are considered, the remaining capacity constraint of the power transmission line is considered, an optimal collaborative planning model of the power transmission line and the long-term energy storage is provided, and guidance is provided for the behavior decision of reducing the planning cost of the power system and improving the new energy consumption capability.

Optionally, the time scales of the long-term and short-term energy storage balance electric quantity fluctuation are different, so that the long-term energy storage planning and the short-term energy storage planning can be cooperatively considered, the long-term and short-term electric quantity fluctuation can be balanced through the cooperative configuration of the long-term energy storage and the short-term energy storage in the process of planning the electric transmission line, more renewable energy sources of the system can be consumed, the reliability of the system is improved through the constraint on the residual capacity of the line, the optimal cooperative planning model of the electric transmission network and the long-term energy storage considering the constraint on the residual capacity of the electric transmission line is obtained, and the energy storage planning model of the electric transmission network and the long-term and short-term energy storage considering the constraint on the residual capacity of the electric transmission line is obtained.

In an alternative embodiment, the first constraint includes: a transmission line construction constraint, an energy storage device construction constraint, and an energy storage device capacity constraint, wherein:

the transmission line construction constraints are used for indicating: the total number of newly added transmission lines in the transmission network within a preset period is smaller than the preset maximum newly added line number.

Optionally, the above-mentioned transmission line construction constraint is expressed as follows by a formula:

wherein,the number of lines is increased to the maximum among the power transmission lines i-j.

The energy storage device build constraints are used to indicate: the number of the long-term energy storage devices installed in the preset period is smaller than a preset first installation number threshold value, and the number of the short-term energy storage devices installed is smaller than a preset second installation number threshold value.

Alternatively, the energy storage device build constraints are formulated as follows:

wherein,allowing maximum short-term energy storage device installation number for the system, < > for>The maximum length energy storage device installation number is allowed for the system.

The energy storage device capacity constraint is used to indicate at least one of: the energy and the power of the short-term energy storage equipment in a preset sampling period meet a preset proportional relation; and the energy of the long-term energy storage device in the preset sampling period is in a preset interval range, wherein the upper limit value of the preset interval range is determined based on the power of the long-term energy storage device in the preset sampling period and a preset first proportion, the lower limit value of the preset interval range is determined based on the power of the long-term energy storage device in the preset sampling period and a preset second proportion, the first proportion is larger than the second proportion, and the preset sampling period is any sampling period in the preset period.

Alternatively, the energy storage device capacity constraint is formulated as follows:

wherein,setting the energy-power ratio of short-term energy storage to be 6/1; delta _{LDES_min} The minimum energy-power ratio for a long-term energy storage power station (corresponding to a long-term energy storage device) can be set to 10/1; delta _{LDES_max} For long-term energy-storage power stations (corresponding long-term energy-storage devices) ) Can be set to 1000/1.

In an alternative embodiment, the second constraint includes at least: short-term energy storage operation constraint, long-term energy storage operation constraint and power transmission line residual capacity constraint, wherein the short-term energy storage operation constraint comprises short-term energy storage balance constraint, and the long-term energy storage operation constraint comprises long-term energy storage balance constraint, and the long-term energy storage balance constraint comprises the following steps of:

the short term stored energy operating constraint is used to indicate at least one of: the short-term energy storage equipment in a preset sampling period meets the balance of charge and discharge power; the charging power or the discharging power of the short-term energy storage equipment is in a corresponding preset power interval; the charge state of the short-term energy storage device is in a corresponding preset charge interval; and the energy of the short-term energy storage device meets a daily balance constraint, the daily balance constraint being used to indicate that the energy at the beginning and ending times of each day is the same.

Optionally, the short-term energy storage operation constraint may include a short-term energy storage balance constraint, that is, a short-term energy storage balance factor is considered in the process of energy storage planning, where the consideration factor is more comprehensive. The short term energy storage operation constraint may be expressed by the following formula:

wherein p is _{ess_c,y,i,t} 、p _{ess_d,y,i,t} Charging power and discharging power of short-term energy storage equipment at a node i in a y year in a period t respectively; e, e _{ess_d,y,i,t} The capacity of the short-term energy storage device of node i in the y-th year period t; the charge state and the discharge state of the short-term energy storage equipment in the node i in the y year in the period t are 0-1 variable, 1 represents charge/discharge, and 0 represents that the short-term energy storage equipment does not act; />Respectively the charging efficiency and the discharging efficiency of the short-term energy storage equipment; Δt is the interval time of the two time periods; SOC (State of Charge) _{ess_d,max} 、SOC _{ess_d,min} The upper limit and the lower limit of the charge state of the short-term energy storage equipment respectively; the last constraint is the energy balance constraint of short-term energy storage, T ₂₄ The energy balance constraint of =24, i.e. short term storage, is the daily balance constraint.

The long term energy storage operation constraint is used to indicate at least one of: the long-term energy storage equipment in a preset sampling period meets the balance of charge and discharge power; the charging power or the discharging power of the long-term energy storage equipment is in a corresponding preset power interval; the charge state of the long-term energy storage device is in a corresponding preset charge interval; and the energy of the long-term energy storage device satisfies a year balance constraint, the year balance constraint being used to indicate that the energy at the beginning and ending times of each year is the same.

Optionally, the short-term energy storage operation constraint may include a long-term energy storage balance constraint, that is, a long-term energy storage balance factor is considered in the process of energy storage planning, where the consideration factor is more comprehensive. The short term energy storage operation constraint may be expressed by the following formula:

Wherein,the capacity of the long-term energy storage device of the node i in the y-th year period t; />Charging efficiency and discharging efficiency of the long-term energy storage device respectively; Δt is the interval time of the two time periods; /> Charging power and discharging of long-term energy storage devices respectively being node i in y-th year period tAn electric power; />The self-discharge rate of the long-term energy storage power station; SOC (State of Charge) _LDES,max 、SOC _LDES,min The upper limit and the lower limit of the charge state of the long-term energy storage equipment respectively; />The charging state and the discharging state of the long-term energy storage device in the node i in the y year in the period t are respectively 0-1 variable, 1 represents charging/discharging, and 0 represents that the long-term energy storage device does not act; the last constraint is the energy balance constraint of long-term energy storage, T ₈₇₆₀ The energy balance constraint of =8760, i.e. long term storage, is the annual balance constraint.

The transmission line remaining capacity constraint is used for indicating: the residual capacity of any branch in the power transmission line in the preset sampling period is smaller than the preset minimum residual capacity, wherein any branch is an existing line or a to-be-built line in the power transmission line, and any branch is an existing branch or a to-be-built branch.

Alternatively, the transmission line remaining capacity constraint may be expressed by the following formula:

P _rij,min ≤P _rij,y,t

Wherein P is _rij,y,t Remaining capacity of any one branch ij in a period t of the y-th year; p (P) _rij,min Minimum remaining capacity for any one leg ij to meet system power transfer and accident handling requirements.

In an alternative embodiment, the second constraint further comprises at least one of: node power balance constraint, branch power flow constraint, branch power out-of-line constraint, thermal power unit output constraint, new energy station output constraint, generator set start-stop constraint, power supply adequacy constraint and rotary standby constraint, wherein:

the node power balancing constraint is used to indicate: power balancing for each sampling period in any scenario for any node in the power transmission network, wherein the power transmission side power constraints include at least: the load power measurement device at least comprises the following components of power transmission line active power, thermal power unit active power output, wind power unit active power output, photovoltaic power unit active power output, energy storage charge and discharge power: load node power, cut load power.

Alternatively, the node power balancing constraint is used to indicate that the power on the power transmission side and the power on the load side in the power transmission network remain balanced during a sampling period. The expression can be expressed by the following formula:

wherein A is ^o And A ^p Node branch incidence matrixes of the existing line and the line to be built respectively;and->Branch active power vectors of the existing line and the line to be built in the y-th year period t are respectively; p (P) _gen,y,t And P _wind,y,t Respectively the active output vectors of the thermal power plant and the wind power plant in the y-th period t; p (P) _ess,y,t 、P _l,y,t And P _nse,y,l,t The energy storage charging and discharging power vector, the load vector of each node and the load vector are respectively in the y-th year period t. The node power balancing constraint ensures that the power balance of any node in the power transmission network is maintained for each period in each scenario.

The branch power flow constraint is used for indicating: the power flow range of any one branch in the power transmission network is within a predetermined power range.

Alternatively, the branch power flow constraint may be expressed by the following formula:

θ _ref,y,t ＝0

wherein b _ij 、And->The method comprises the steps of respectively adopting a single line susceptance of any branch ij, the original line number and the maximum newly added line number; />The total active power flowing through the existing branch ij in the period t of the y-th year; />Creating an active power flowing through a p-th line for a branch ij to be built in a period t of the y-th year; θ _i,y,t 、θ _j,y,t And theta _ref,y,t The voltage phase angles of the nodes i and j and the balance node ref in the period t of the y year are respectively; omega o is the existing line set; m is M _ij For a sufficiently large number, in the y-th year when the p-th line of branch ij is selected,/-th line is selected >The flow constraint on the newly built line becomesIn the y-th year when the p-th line of branch ij is not selected, the same as the current constraint on the original line is adopted>M _ij Big enough, then->This is true.

The branch power out-of-line constraint is used to indicate: the power of any branch in the power transmission network in any sampling period is smaller than a preset first power threshold.

Alternatively, the branch power out-of-line constraint may be expressed by the following formula:

wherein,for the maximum transmission power of a single line of any one branch ij, the constraint ensures that the power of any branch at any moment is strictly not out of limit.

The thermal power generating unit output constraint and the new energy station output constraint are used for indicating: the output forces of the thermal power generating unit, the photovoltaic generating unit and the wind generating unit are all in the corresponding preset output range.

Alternatively, the thermal power generating unit output constraint and the new energy station output constraint can be expressed by the following formulas:

-ω _d,g Δt≤P _gen,y,g,t -P _gen,y,g,t-1 ≤ω _u,g Δt

wherein omega _d,g 、ω _u,g Respectively represents the landslide and climbing rate of the thermal power plant g,respectively representing the upper output limit and the lower output limit of the thermal power plant g; Δt is the time interval. The constraint considers the constraint of the maximum and minimum values of the thermal power plant technology output and the constraint of the wind power plant and the photovoltaic power station output predicted value, and limits the output of the thermal power plant, the wind power plant and the photovoltaic power station within the allowable range.

The generator set start-stop constraint is used for indicating: the continuous start-stop time of the thermal power generating unit in the dispatching period is within the corresponding preset start-stop time range.

Alternatively, the genset start-stop constraint may be expressed by the following formula:

t∈1,2...,T

wherein v is _y,g,t 0-1 running state information variable of the g-th machine set in the y-th time period t is represented, 1 represents that the machine set is in running state information, and 0 represents that the machine set is in a stop state; SU (SU) _g,max 、SD _g,max Maximum start-up and shut-down times of the generator sets g, respectively.

The power adequacy constraint is used to indicate at least one of: the total cut load included in the power transmission network is less than or equal to a preset third proportion of the total load demand, and the total cut load of any one sampling period in the power transmission network is less than or equal to the load demand of the corresponding period.

Alternatively, the supply adequacy constraint may be expressed by the following formula:

P _nse,y,l,t ≤P _l,y,t

wherein alpha is _cur For the power supply adequacy factor, the constraint indicates that the total cut load in the power transmission network cannot exceed a certain proportion of the total load demand of the nodes.

The rotation reserve constraint is used to indicate: the power transmission side power in the power transmission network is greater than or equal to the sum of the load side power and the preset reserve capacity.

Alternatively, the rotational reserve constraint may be expressed by the following formula:

Wherein N is _ess A short-term energy storage node set and a long-term energy storage node set; p (P) _l,y,t Load demand for load node l during period t of the y-th year; r is R _y,t For the system reserve capacity during period t of the y-th year.

Step S108, based on a topological structure corresponding to the power transmission line, an energy storage planning model of the power transmission network is adopted to obtain an energy storage planning result of the power transmission network, wherein the topological structure comprises operation state information of the power transmission line.

In an alternative embodiment, in a case that the power transmission network energy storage planning model includes an upper layer model corresponding to an upper layer power transmission network and a lower layer model corresponding to a lower layer power transmission network, based on a topology structure corresponding to a power transmission line, the power transmission network energy storage planning model is adopted to obtain an energy storage planning result of the power transmission network, including: based on a topological structure, an upper model is adopted to obtain a first output result, wherein the first output result at least comprises an addressing and volume-fixing result of energy storage equipment, and the energy storage equipment is long-term energy storage equipment and short-term energy storage equipment; based on the first output result, adopting a lower model to obtain the annual total cost of operation corresponding to the lower power transmission network, and returning the annual total cost of operation to the upper model; and under the condition that the upper model meets the first objective function and the first constraint condition and the lower model meets the second objective function and the second constraint condition, obtaining an energy storage planning result of the power transmission network.

Optionally, the topology structure of the power grid input by the upper model is used for solving the operation cost of the power grid and the long-term and short-term energy storage simulated by the embedded panoramic time sequence production, returning the operation cost to the upper model, changing the total cost of the upper model, and transmitting the upper model to the lower model according to the data change investment scheme, so that the upper model and the lower model reciprocate until the upper model and the lower model reach the optimal state.

Through the steps S102 to S108, the purpose of comprehensively carrying out energy storage planning of the power transmission network can be achieved, so that the technical effects of improving the accuracy and applicability of the energy storage planning of the power transmission network are achieved, and the technical problems of low energy storage planning accuracy and poor applicability caused by incomplete consideration of the energy storage planning method of the power transmission network in the related technology are solved.

Based on the foregoing embodiment and the optional embodiment, an optional implementation manner is provided in the present invention, and fig. 2 is a flowchart of an optional power transmission network energy storage planning method according to an embodiment of the present invention, as shown in fig. 2, where the method includes: the method comprises the following two steps of establishing operation constraint and electric quantity balance constraint of long-term energy storage and short-term energy storage and constructing a multi-time-scale operation model considering the residual capacity constraint of the power transmission line: step S1: in the process of establishing the economic characteristics of the long-term and short-term energy storage technology, decoupling the configuration of the discharge power capacity, the charge power capacity and the energy storage capacity of the long-term and short-term energy storage, independently configuring the charge power capacity and the discharge power capacity of the long-term energy storage, and then setting the energy balance constraint of the long-term energy storage and the short-term energy storage as a year balance constraint and a day balance constraint respectively. Step S2: in the construction of a multi-time scale operation model (namely, a power transmission network energy storage planning model) considering the residual capacity constraint of a power transmission line, the topological structure of a power network input by an upper layer model (namely, an upper layer operation model) is considered, the power transmission network and long-term and short-term energy storage operation cost of an embedded panoramic time sequence production simulation is solved, the power transmission network and long-term and short-term energy storage operation cost is returned to the upper layer model, the total cost of the upper layer model is changed, the upper layer model is transferred to a lower layer model (namely, a lower layer operation model) according to a data change investment scheme, and the power transmission network and the long-term and short-term energy storage operation cost are reciprocated until the upper layer model and the lower layer model reach the optimal state.

The long-term energy storage and short-term energy storage planning can be cooperatively considered, the long-term and short-term energy storage can be cooperatively configured to balance the long-term and short-term energy storage in the process of planning the power transmission line, more renewable energy sources of the system can be consumed, the reliability of the system is increased through the constraint on the residual capacity of the line, an optimal cooperative planning model of the power transmission network and the long-term energy storage, which takes the constraint on the residual capacity of the power transmission line into account, is obtained, and a double-layer cooperative time sequence planning model of the power transmission network and the long-term and short-term energy storage, which takes the constraint on the residual capacity of the power transmission line into account, is obtained, wherein the model comprises: the system comprises a first objective function, a first constraint condition corresponding to the first objective function, a second objective function and a second constraint condition corresponding to the second objective function, wherein:

and minimizing the total investment construction cost of the power transmission line, the total investment construction cost of the long-term energy storage equipment and the short-term energy storage equipment and the total annual running cost corresponding to the lower-layer power transmission network, wherein the corresponding first constraint condition at least comprises: equipment construction constraint and energy storage equipment capacity constraint;

And taking the sum of the wind discarding cost, the light discarding cost, the unit start-stop cost, the load shedding cost and the carbon emission cost as a second objective function, wherein the corresponding second constraint condition at least comprises: long-term energy storage balance constraint, short-term energy storage balance constraint and power transmission line residual capacity constraint.

In the embodiment of the invention, the technical and economic characteristics of long-term energy storage and short-term energy storage are analyzed first, and an energy balance constraint model of the long-term energy storage and the short-term energy storage is constructed. And finally, constructing a power transmission network and long-and-short-term energy storage double-layer planning and scheduling model considering the residual capacity constraint of the power transmission line, and considering the operation cost and the carbon emission cost of the power plant. Aiming at a novel power system with large-scale new energy grid connection, the invention considers the gentle effects of long-term energy storage and short-term energy storage on seasonal fluctuation and daily fluctuation respectively, considers the constraint of the residual capacity of the power transmission line, provides an optimal collaborative planning model of the power transmission line and the long-term energy storage, and provides guidance for the behavior decision of reducing the planning cost of the power system and improving the new energy consumption capability.

The embodiment also provides a power transmission network energy storage planning device, which is used for realizing the embodiment and the preferred implementation manner, and the description is omitted. As used below, the terms "module," "apparatus" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

According to an embodiment of the present invention, there is further provided an apparatus embodiment for implementing the above-mentioned power transmission network energy storage planning method, and fig. 3 is a schematic structural diagram of a power transmission network energy storage planning apparatus according to an embodiment of the present invention, as shown in fig. 3, where the power transmission network energy storage planning apparatus includes: a first determination module 300, a second determination module 302, a construction module 306, an acquisition module 308, wherein:

the first determining module 300 is configured to determine a first objective function corresponding to an upper power transmission network in the power transmission network based on a total investment construction cost of the power transmission line in the power transmission network, a total investment construction cost of the long-term energy storage device and the short-term energy storage device, and a total annual running cost corresponding to a lower power transmission network;

the second determining module 302 is connected to the first determining module 300, and is configured to determine a second objective function corresponding to a lower power transmission network in the power transmission network based on a wind curtailment cost corresponding to a wind power generator set, a light curtailment cost corresponding to a photovoltaic power generator set, a start-stop cost corresponding to a thermal power generator set, a load shedding cost corresponding to a load node, and a carbon emission cost corresponding to a thermal power generator set;

the building module 306 is connected to the second determining module 302, and is configured to build a power transmission network energy storage planning model according to the first objective function and the second objective function;

The obtaining module 308 is connected to the constructing module 306, and is configured to obtain an energy storage planning result of the power transmission network by adopting a power transmission network energy storage planning model based on a topology structure corresponding to the power transmission line, where the topology structure includes operation state information of the power transmission line.

In the embodiment of the invention, a first objective function corresponding to an upper layer power transmission network in a power transmission network is determined based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of long-term energy storage equipment and short-term energy storage equipment and the total annual running cost corresponding to the lower layer power transmission network; determining a second objective function corresponding to a lower layer power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind generating set in the power transmission network, the light discarding cost corresponding to the photovoltaic generating set, the set start-stop cost corresponding to the thermal power generating set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generating set; constructing a power transmission network energy storage planning model according to the first objective function and the second objective function; based on a topological structure corresponding to the power transmission line, an energy storage planning model of the power transmission network is adopted to obtain an energy storage planning result of the power transmission network, wherein the topological structure comprises running state information of the power transmission line, and the purpose of comprehensively carrying out energy storage planning of the power transmission network is achieved, so that the technical effects of improving the accuracy and applicability of energy storage planning of the power transmission network are achieved, and the technical problems of low energy storage planning accuracy and poor applicability caused by incomplete consideration factors of the energy storage planning method of the power transmission network in the related art are solved.

It should be noted that each of the above modules may be implemented by software or hardware, for example, in the latter case, it may be implemented by: the above modules may be located in the same processor; alternatively, the various modules described above may be located in different processors in any combination.

It should be noted that, the first determining module 300, the second determining module 302, the constructing module 306, and the obtaining module 308 correspond to steps S102 to S108 in the embodiment, and the modules are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the foregoing embodiment. It should be noted that the above modules may be run in a computer terminal as part of the apparatus.

It should be noted that, the optional or preferred implementation manner of this embodiment may be referred to the related description in the embodiment, and will not be repeated herein.

The grid energy storage planning apparatus may further include a processor and a memory, where the first determining module 300, the second determining module 302, the constructing module 306, the obtaining module 308, and the like are stored as program modules in the memory, and the processor executes the program modules stored in the memory to implement corresponding functions.

The processor comprises a kernel, the kernel accesses the memory to call the corresponding program module, and the kernel can be provided with one or more than one. The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.

According to an embodiment of the present application, there is also provided an embodiment of a nonvolatile storage medium. Optionally, in this embodiment, the nonvolatile storage medium includes a stored program, where when the program runs, the device where the nonvolatile storage medium is controlled to execute any one of the power transmission network energy storage planning methods.

Alternatively, in this embodiment, the above-mentioned nonvolatile storage medium may be located in any one of the computer terminals in the computer terminal group in the computer network or in any one of the mobile terminals in the mobile terminal group, and the above-mentioned nonvolatile storage medium includes a stored program.

Optionally, the program controls the device in which the nonvolatile storage medium is located to perform the following functions when running: determining a first objective function corresponding to an upper power transmission network in the power transmission network based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of the long-term energy storage equipment and the short-term energy storage equipment, and the total annual running cost corresponding to the lower power transmission network; determining a second objective function corresponding to a lower layer power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind generating set in the power transmission network, the light discarding cost corresponding to the photovoltaic generating set, the set start-stop cost corresponding to the thermal power generating set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generating set; constructing a power transmission network energy storage planning model according to the first objective function and the second objective function; and obtaining an energy storage planning result of the power transmission network by adopting a power transmission network energy storage planning model based on a topological structure corresponding to the power transmission line, wherein the topological structure comprises running state information of the power transmission line.

According to an embodiment of the present application, there is also provided an embodiment of a processor. Optionally, in this embodiment, the processor is configured to execute a program, where any one of the power transmission network energy storage planning methods is executed when the program is executed.

According to an embodiment of the application, there is also provided an embodiment of a computer program product adapted to perform a program initialized with the steps of any one of the grid energy storage planning methods described above when executed on a data processing device.

Optionally, the computer program product mentioned above, when executed on a data processing device, is adapted to perform a program initialized with the method steps of: determining a first objective function corresponding to an upper power transmission network in the power transmission network based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of the long-term energy storage equipment and the short-term energy storage equipment, and the total annual running cost corresponding to the lower power transmission network; determining a second objective function corresponding to a lower layer power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind generating set in the power transmission network, the light discarding cost corresponding to the photovoltaic generating set, the set start-stop cost corresponding to the thermal power generating set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generating set; constructing a power transmission network energy storage planning model according to the first objective function and the second objective function; and obtaining an energy storage planning result of the power transmission network by adopting a power transmission network energy storage planning model based on a topological structure corresponding to the power transmission line, wherein the topological structure comprises running state information of the power transmission line.

The embodiment of the invention provides an electronic device, which comprises a processor, a memory and a program stored on the memory and capable of running on the processor, wherein the following steps are realized when the processor executes the program: determining a first objective function corresponding to an upper power transmission network in the power transmission network based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of the long-term energy storage equipment and the short-term energy storage equipment, and the total annual running cost corresponding to the lower power transmission network; determining a second objective function corresponding to a lower layer power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind generating set in the power transmission network, the light discarding cost corresponding to the photovoltaic generating set, the set start-stop cost corresponding to the thermal power generating set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generating set; constructing a power transmission network energy storage planning model according to the first objective function and the second objective function; and obtaining an energy storage planning result of the power transmission network by adopting a power transmission network energy storage planning model based on a topological structure corresponding to the power transmission line, wherein the topological structure comprises running state information of the power transmission line.

The above-described order of embodiments of the invention is merely for illustration and does not represent the advantages or disadvantages of the embodiments.

In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the modules may be a logic function division, and there may be another division manner when actually implemented, for example, a plurality of modules or components may be combined or may be integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with respect to each other may be through some interface, module or indirect coupling or communication connection of modules, electrical or otherwise.

The modules described above as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.

The integrated modules described above, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable non-volatile storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a non-volatile storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned nonvolatile storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims (10)

1. A power transmission network energy storage planning method, comprising:

determining a first objective function corresponding to an upper layer power transmission network in a power transmission network based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of long-term energy storage equipment and short-term energy storage equipment and the total annual running cost corresponding to the lower layer power transmission network;

determining a second objective function corresponding to a lower power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind generating set in the power transmission network, the light discarding cost corresponding to the photovoltaic generating set, the set start-stop cost corresponding to the thermal power generating set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generating set;

constructing a power transmission network energy storage planning model according to the first objective function and the second objective function;

and obtaining an energy storage planning result of the power transmission network by adopting the power transmission network energy storage planning model based on a topological structure corresponding to the power transmission line, wherein the topological structure comprises running state information of the power transmission line.

2. The method of claim 1, wherein the step of determining the position of the substrate comprises,

the determining a first objective function corresponding to an upper layer power transmission network in the power transmission network based on total investment construction costs of the power transmission line in the power transmission network, total investment construction costs of long-term energy storage equipment and short-term energy storage equipment, and total annual running cost corresponding to a lower layer power transmission network, includes: the total investment construction cost of the power transmission line, the total investment construction cost of the long-term energy storage equipment, the total investment construction cost of the short-term energy storage equipment and the total annual running cost corresponding to the lower-layer power transmission network are the smallest as the first objective function;

the determining the second objective function corresponding to the lower layer power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind generating set in the power transmission network, the light discarding cost corresponding to the photovoltaic generating set, the unit start-stop cost corresponding to the thermal power generating set, the load shedding cost corresponding to the load node, and the carbon emission cost corresponding to the thermal power generating set comprises the following steps: and taking the sum of the wind discarding cost, the light discarding cost, the unit start-stop cost, the load shedding cost and the carbon emission cost as the second objective function.

3. The method of claim 1, wherein constructing a grid energy storage planning model from the first objective function and the second objective function comprises:

determining a first constraint condition corresponding to the first objective function and a second constraint condition corresponding to the second objective function, wherein the first constraint condition at least comprises: and the equipment construction constraint and the energy storage equipment capacity constraint, and the second constraint condition at least comprises: long-term energy storage balance constraint, short-term energy storage balance constraint and power transmission line residual capacity constraint;

and constructing the power transmission network energy storage planning model according to the first objective function, the first constraint condition, the second objective function and the second constraint condition.

4. A method according to claim 3, wherein the first constraint comprises: a transmission line construction constraint, an energy storage device construction constraint, and an energy storage device capacity constraint, wherein,

the transmission line construction constraint is used for indicating: the total number of newly added transmission lines in the transmission network in a preset period is smaller than the preset maximum newly added line number;

the energy storage device build constraints are used to indicate: the installation quantity of the long-term energy storage devices in the preset period is smaller than a preset first installation quantity threshold value, and the installation quantity of the short-term energy storage devices is smaller than a preset second installation quantity threshold value;

The energy storage device capacity constraint is used to indicate at least one of: the energy and the power of the short-term energy storage device in a preset sampling period meet a preset proportional relation; and the energy of the long-term energy storage device in the preset sampling period is in a preset interval range, wherein the upper limit value of the preset interval range is determined based on the power of the long-term energy storage device in the preset sampling period and a preset first proportion, the lower limit value of the preset interval range is determined based on the power of the long-term energy storage device in the preset sampling period and a preset second proportion, the first proportion is larger than the second proportion, and the preset sampling period is any sampling period in the preset period.

5. A method according to claim 3, wherein the second constraint comprises at least: short-term energy storage operation constraint, long-term energy storage operation constraint and residual capacity constraint of the power transmission line, wherein the short-term energy storage operation constraint comprises the short-term energy storage balance constraint, the long-term energy storage operation constraint comprises the long-term energy storage balance constraint, and the long-term energy storage balance constraint comprises the long-term energy storage balance constraint,

the short term stored energy operating constraint is used to indicate at least one of: the short-term energy storage equipment meets the balance of charge and discharge power within a preset sampling period; the charging power or the discharging power of the short-term energy storage equipment is in a corresponding preset power interval; the charge state of the short-term energy storage device is in a corresponding preset charge interval; and

The energy of the short-term energy storage device meets a daily balance constraint, and the daily balance constraint is used for indicating that the energy at the starting time and the energy at the ending time of each day are the same;

the long term stored energy operation constraint is used to indicate at least one of: the long-term energy storage device satisfies charge-discharge power balance within the preset sampling period; the charging power or the discharging power of the long-term energy storage equipment is in a corresponding preset power interval; the charge state of the long-term energy storage device is in a corresponding preset charge interval; and the energy of the long-term energy storage device satisfying a year balance constraint indicating that the energy at the beginning and the energy at the end of each year are the same;

the transmission line remaining capacity constraint is used for indicating: the residual capacity of any one branch in the power transmission line in the preset sampling period is smaller than the preset minimum residual capacity, wherein the any one branch is an existing line or a line to be built in the power transmission line.

6. The method of claim 5, wherein the second constraint further comprises at least one of: node power balance constraint, branch power flow constraint, branch power out-of-line constraint, thermal power unit output constraint, new energy station output constraint, generator set start-stop constraint, power supply adequacy constraint and rotary standby constraint, wherein,

The node power balancing constraint is used to indicate: power balancing of any node in the power transmission network for each sampling period in any scenario;

the branch power flow constraint is used for indicating: the power flow range of any branch in the power transmission network is within a preset power range;

the branch power out-of-line constraint is used to indicate: the power of any branch in the power transmission network in any sampling period is smaller than a preset first power threshold;

the thermal power generating unit output constraint and the new energy station output constraint are used for indicating: the output forces of the thermal power generating unit, the photovoltaic power generating unit and the wind power generating unit are all in the corresponding preset output range;

the generator set start-stop constraint is used for indicating: the continuous start-stop time of the thermal power generating unit in the dispatching period is within a corresponding preset start-stop time range;

the supply adequacy constraint is used to indicate at least one of: the total cut load included in the power transmission network is smaller than or equal to a preset third proportion of the total load demand, and the total cut load of any one sampling period in the power transmission network is smaller than or equal to the load demand of a corresponding period;

The rotational redundancy constraint is used to indicate: and the power transmission side power in the power transmission network is larger than or equal to the sum of the load side power and the preset standby capacity.

7. A method according to claim 3, wherein, in the case that the power transmission network energy storage planning model includes an upper layer model corresponding to the upper layer power transmission network and a lower layer model corresponding to the lower layer power transmission network, the obtaining, based on the topology structure corresponding to the power transmission line, an energy storage planning result of the power transmission network by using the power transmission network energy storage planning model includes:

based on the topological structure, the upper model is adopted to obtain a first output result, wherein the first output result at least comprises an addressing and volume-fixing result of energy storage equipment, and the energy storage equipment is the long-term energy storage equipment and the short-term energy storage equipment;

based on the first output result, adopting the lower model to obtain the annual total cost of operation corresponding to the lower power transmission network, and returning the annual total cost of operation to the upper model;

and obtaining the energy storage planning result of the power transmission network under the condition that the upper model meets the first objective function and the first constraint condition and the lower model meets the second objective function and the second constraint condition.

8. A power transmission grid energy storage planning device, comprising:

the first determining module is used for determining a first objective function corresponding to an upper layer power transmission network in the power transmission network based on the total investment construction cost of the power transmission line in the power transmission network, the total investment construction cost of the long-term energy storage equipment and the short-term energy storage equipment and the annual operation total cost corresponding to the lower layer power transmission network;

the second determining module is used for determining a second objective function corresponding to a lower layer power transmission network in the power transmission network based on the wind discarding cost corresponding to the wind power generation set, the light discarding cost corresponding to the photovoltaic power generation set, the unit start-stop cost corresponding to the thermal power generation set, the load shedding cost corresponding to the load node and the carbon emission cost corresponding to the thermal power generation set in the power transmission network;

the construction module is used for constructing a power transmission network energy storage planning model according to the first objective function and the second objective function;

the acquisition module is used for acquiring an energy storage planning result of the power transmission network by adopting the power transmission network energy storage planning model based on a topological structure corresponding to the power transmission line, wherein the topological structure comprises running state information of the power transmission line.

9. A non-volatile storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the grid energy storage planning method of any one of claims 1 to 7.

10. An electronic device comprising one or more processors and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the grid energy storage planning method of any of claims 1-7.