Day-ahead and intra-day coordinated control method for grid-side energy storage system and related device

Abstract

The application provides a day-ahead and day-ahead coordinated regulation method of a power grid side energy storage system and related equipment, divides an unexpected scheduling framework of the power grid side energy storage system into two regulation stages of day-ahead planning and day-ahead look-ahead scheduling, constructs a day-ahead planning model containing unexpected constraints of energy and power generation and power consumption in the day-ahead planning stage and performs optimization solving, further takes the optimization result of the day-ahead planning model as a boundary condition, constructs a day-ahead look-ahead scheduling model containing unexpected constraints of energy and power generation and power consumption in the day-ahead look-ahead scheduling stage and performs optimization solving, and finally guides the actual regulation of the power grid side energy storage system in energy, operating conditions and power generation and power consumption based on the day-ahead look-ahead scheduling optimization result considering unexpectedness and time sequence decoupling. The method provided by the application makes the regulation scheme of the power grid side energy storage system have robustness ensured by day-ahead planning on one hand and flexibility brought by day-ahead look-ahead scheduling on the other hand.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of grid-side energy storage system scheduling, in particular to a day-ahead-intra-day coordinated regulation method of a grid-side energy storage system and related equipment. BACKGROUND

[0002] With increasing attention to clean energy and sustainable development, the development of new energy is becoming an inevitable trend in the power industry. Among them, renewable energy such as wind and solar energy is widely considered as an ideal choice to replace traditional fossil fuels, and its pollution-free and renewable characteristics make it have significant advantages in mitigating climate change and reducing carbon emissions. However, new energy is also accompanied by intermittent and volatile characteristics, which brings a series of challenges to the dispatching operation of the power system. In order to effectively accommodate new energy and improve the flexibility and robustness of the power system, energy storage systems have gradually attracted attention.

[0003] On the grid side, energy storage systems store excess new energy power and release it when needed, effectively balancing supply and demand differences and improving the stability and reliability of the power system. Grid-side energy storage systems not only help to shave peak and fill valley, reduce peak load of the power grid, but also provide backup support to deal with emergency situations, thereby reducing dependence on traditional power generation methods. Therefore, the regulation and operation of grid-side energy storage systems have become a key link in the construction of new power systems and sustainable development.

[0004] The current regulation process of the grid-side energy storage system can be regulated in a day-ahead-intra-day coordinated regulation manner. The inventors have found that there are many actual factors not considered in the day-ahead-intra-day coordinated regulation process of the grid-side energy storage system, which makes the regulation efficiency not high in the actual regulation process. SUMMARY

[0005] The technical problem to be solved by the present application is to provide a day-ahead-intra-day coordinated regulation method of a grid-side energy storage system and related equipment for regulating the operation of the grid-side energy storage system in the day-ahead planning stage and the intra-day forward scheduling stage, and improving the actual regulation efficiency.

[0006] The present application also provides a day-ahead-intra-day coordinated regulation method and device of a grid-side energy storage system for ensuring the implementation and application of the above method in practice.

[0007] A day-ahead-intra-day coordinated regulation method of a grid-side energy storage system, comprising:

[0008] determining an unexpected scheduling framework of the grid-side energy storage system;

[0009] dividing the unexpected scheduling framework into a day-ahead planning stage and an intra-day forward scheduling stage;

[0010] For the day-ahead planning stage, day-ahead scheduling information and day-ahead decision variables of the grid-side energy storage system are determined; based on the day-ahead scheduling information and the day-ahead decision variables, a day-ahead planning model of the grid-side energy storage system is constructed according to a set day-ahead planning period, and the day-ahead planning model is optimized and solved to obtain a first optimization result; the day-ahead planning model includes unexpected constraints of energy and unexpected constraints of power generation and consumption in the day-ahead planning stage; the first optimization result includes energy boundaries, operating conditions and power generation and consumption boundaries of the grid-side energy storage system in each date period on a set date;

[0011] For the day-ahead planning stage, day-ahead scheduling information and day-ahead decision variables of the grid-side energy storage system are determined; based on the day-ahead scheduling information and the day-ahead decision variables, a day-ahead planning model of the grid-side energy storage system is constructed according to a set day-ahead planning period, and the day-ahead planning model is optimized and solved to obtain a first optimization result; the day-ahead planning model includes unexpected constraints of energy and unexpected constraints of power generation and consumption in the day-ahead planning stage; the first optimization result includes energy boundaries, operating conditions and power generation and consumption boundaries of the grid-side energy storage system in each date period on a set date;

[0012] Based on the first optimization result and each second optimization result, the energy, operating conditions and power generation and consumption of the grid-side energy storage system in the day-ahead planning stage and the day-ahead look-ahead scheduling stage are coordinated and controlled.

[0013] The day-ahead-look-ahead coordinated control method of the grid-side energy storage system can optionally include the following steps of constructing the day-ahead planning model of the grid-side energy storage system based on the day-ahead scheduling information and the day-ahead decision variables according to the set day-ahead planning period:

[0014] The energy boundary constraint D1 of the grid-side energy storage system in the day-ahead planning stage is constructed as follows:

[0015] ;

[0016] Wherein:

[0017] represents the lower bound of the energy of the grid-side energy storage system s in period t in the day-ahead planning stage;

[0018] represents the upper bound of the energy of the grid-side energy storage system s in period t in the day-ahead planning stage;

[0019] DA represents the day-ahead planning stage;

[0020] S represents the set of indices of the grid-side energy storage system s, T represents the set of indices of the day-ahead planning stage;

[0021] wherein the values of t in D1 are determined by T;

[0022] constructing an energy state relaxation constraint D2 of the grid-side energy storage system at the end period of the day-ahead planning period:

[0023]

[0024] wherein:

[0025] D2 represents the end period in the day-ahead planning period, the day-ahead planning period comprising a plurality of periods, s represents the grid-side energy storage system at period a target energy value;

[0026] and is a non-negative variable for relaxing the energy state constraint of the grid-side energy storage system s at ;

[0027] represents the negative deviation amount of the energy storage energy value of the grid-side energy storage system s at from the target energy value;

[0028] represents the positive deviation amount of the energy storage energy value of the grid-side energy storage system s at from the target energy value;

[0029] constructing a generation and consumption power interval constraint D3 for allowing the grid-side energy storage system to operate:

[0030]

[0031] wherein:

[0032] represents the lower limit variable of power generation of the grid-side energy storage system s at period t within the day-ahead planning stage;

[0033] represents the upper limit variable of power generation of the grid-side energy storage system s at period t within the day-ahead planning stage;

[0034] Used to indicate the grid-side energy storage system during the aforementioned planning phase. During the period Does the lower limit variable for power generation play a role? A value of 1 indicates that it is effective. A value of 0 indicates that it has no effect;

[0035] Used to indicate the grid-side energy storage system during the aforementioned planning phase. During the period Does the upper limit variable for power generation have any effect? A value of 1 indicates that it is effective. A value of 0 indicates that it has no effect;

[0036] This refers to the grid-side energy storage system during the aforementioned planning phase. During the period The lower limit variable for electricity consumption;

[0037] This refers to the grid-side energy storage system during the aforementioned planning phase. During the period The upper limit variable for electricity consumption;

[0038] Used to indicate the grid-side energy storage system during the aforementioned planning phase. During the period Does the lower limit variable for electricity consumption take effect? A value of 1 indicates that it is effective. A value of 0 indicates that it has no effect;

[0039] Used to indicate the grid-side energy storage system during the aforementioned planning phase. During the period Does the electricity consumption limit variable take effect? A value of 1 indicates that it is effective. A value of 0 indicates that it has no effect;

[0040] This refers to the grid-side energy storage system. Rated power generation capacity;

[0041] This refers to the grid-side energy storage system. Rated power consumption;

[0042] DC represents the power generation state of the grid-side energy storage system s;

[0043] CH represents the power consumption status of the grid-side energy storage system s;

[0044] A robust state transition equation M1 of the grid-side energy storage system in the day-ahead planning phase is constructed:

[0045]

[0046] wherein:

[0047] represents the generation efficiency of the grid-side energy storage system ;

[0048] represents the consumption efficiency of the grid-side energy storage system ;

[0049] represents the time granularity;

[0050] An upper and lower limit constraint D4 of the generation and consumption power of the grid-side energy storage system in the day-ahead planning phase is constructed:

[0051]

[0052] is used to indicate the planned generation and consumption state of the grid-side energy storage system in a time period in the day-ahead planning phase;

[0053] when is 1, it represents that the grid-side energy storage system is planned to run in the generation state in a time period ;

[0054] when is 0, it represents that the grid-side energy storage system is planned to run in the consumption state in a time period ;

[0055] represents the generation power of the grid-side energy storage system in a time period in the day-ahead planning phase;

[0056] represents the consumption power of the grid-side energy storage system in a time period in the day-ahead planning phase;

[0057] Based on the D1, D2, D3, D4 and the M1, the construction of the day-ahead planning model is completed.

[0058] The day-ahead-day-in collaborative regulation method of the grid-side energy storage system can optionally include constructing an intra-day forward scheduling model of the grid-side energy storage system based on the intra-day scheduling information and intra-day decision variables, including:

[0059] constructing an energy boundary constraint D5 of the grid-side energy storage system in the intra-day forward scheduling stage:

[0060]

[0061] wherein:

[0062] represents the energy lower bound of the grid-side energy storage system in the intra-day forward scheduling stage; in period ;

[0063] represents the energy upper bound of the grid-side energy storage system in the intra-day forward scheduling stage; in period ;

[0064] represents the intra-day forward scheduling stage;

[0065] represents the index set of the intra-day forward scheduling stage in the current period ;

[0066] wherein, L = 16, L is the number of periods of the intra-day forward scheduling cycle;

[0067] constructing an energy boundary constraint D6 of the grid-side energy storage system in the last period of each forward scheduling cycle in the intra-day forward scheduling stage:

[0068]

[0069] wherein:

[0070] represents the last period of the forward scheduling cycle in the current period ;

[0071] represents the day-ahead planning energy lower bound of period ;

[0072] represents the day-ahead planning energy upper bound of period ;

[0073] constructing an energy state relaxation constraint D7 of the grid-side energy storage system in the end period of the operation day:

[0074]

[0075] and is a non-negative variable for relaxing the energy state constraint of the grid-side energy storage system s at the end of the operation day period;

[0076] denotes the end of the operation day period;

[0077] denotes the grid-side energy storage system at the end of the operation day period; the target energy value;

[0078] a day-ahead schedule generation dispatch power interval constraint D8 is constructed for specifying the allowed operation of the grid-side energy storage system:

[0079]

[0080] wherein:

[0081] denotes the lower generation limit variable of the grid-side energy storage system at the end of the operation day period;

[0082] denotes the upper generation limit variable of the grid-side energy storage system at the end of the operation day period;

[0083] is used to indicate whether the lower generation limit variable of the grid-side energy storage system at the end of the operation day period is active, with 1 indicating active, with 0 indicating inactive; is used to indicate whether the upper generation limit variable of the grid-side energy storage system

[0084] at the end of the operation day period is active; with 1 indicating active, with 0 indicating inactive;

[0085] denotes the lower consumption limit variable of the grid-side energy storage system at the end of the operation day period;

[0086] ​​​​​ indicates whether the grid-side energy storage system is active in the day-ahead look-ahead scheduling phase, in period a variable of upper limit of electricity consumption;

[0087] indicates whether the grid-side energy storage system is active in the day-ahead look-ahead scheduling phase, in period a variable of lower limit of electricity consumption, 1 indicates active, 0 indicates inactive;

[0088] indicates whether the grid-side energy storage system is active in the day-ahead look-ahead scheduling phase, in period a variable of upper limit of electricity consumption; 1 indicates active, 0 indicates inactive;

[0089] constructs a robust state transition equation M2 of the grid-side energy storage system in the day-ahead look-ahead scheduling phase:

[0090]

[0091] indicates a look-ahead scheduling state of electricity generation of the grid-side energy storage system in period

[0092] 1 indicates that the grid-side energy storage system is in a state of electricity generation in the look-ahead scheduling in period

[0093] 0 indicates that the grid-side energy storage system is in a state of electricity consumption in the look-ahead scheduling in period

[0094] indicates a power of electricity generation of the grid-side energy storage system in period

[0095] indicates a power of electricity consumption of the grid-side energy storage system in period

[0096] ​​​​​​​​​​​​constructing a power supply and use power upper and lower limit constraint D9 of the grid-side energy storage system in the day-ahead scheduling stage:

[0097]

[0098] Based on the D5, D6, D7, D8, D9 and the M2, the construction of the day-ahead scheduling model is completed.

[0099] The above-mentioned day-ahead-day-ahead collaborative regulation method of the grid-side energy storage system, optionally, the determination of the day-ahead scheduling information comprises:

[0100] Obtaining the first technical parameter of the grid-side energy storage system in the day-ahead planning stage;

[0101] Obtaining the first initial energy value of the initial period of the day-ahead planning period and the first target energy value of the end period of the day-ahead planning period of the grid-side energy storage system;

[0102] Obtaining the day-ahead uncertain parameter information of the grid-side energy storage system in the day-ahead planning stage;

[0103] The first technical parameter, the first initial energy value, the first target energy value and the day-ahead uncertain parameter information are determined as the day-ahead scheduling information.

[0104] The above-mentioned day-ahead-day-ahead collaborative regulation method of the grid-side energy storage system, optionally, the determination of the day-ahead scheduling information comprises:

[0105] Obtaining the second technical parameter of the grid-side energy storage system in the day-ahead scheduling stage;

[0106] Obtaining the second initial energy value of the initial period of each of the day-ahead scheduling period and the second target energy value of the end period of each of the day-ahead scheduling period of the grid-side energy storage system in the day-ahead scheduling stage;

[0107] Obtaining the day-ahead uncertain parameter information of the grid-side energy storage system in the day-ahead scheduling stage;

[0108] The second technical parameter, each of the second initial energy value, each of the second target energy value and the day-ahead uncertain parameter information are determined as the day-ahead scheduling information.

[0109] The above-mentioned day-ahead-day-ahead collaborative regulation method of the grid-side energy storage system, optionally, the operation condition comprises a power supply condition, a load condition and a double condition.

[0110] The day-ahead-day-in collaborative regulation method of the power grid side energy storage system can further include that: the non-expected scheduling framework is divided into a day-ahead planning stage and a day-in look-ahead scheduling stage.

[0111] The operation day of the power grid side energy storage system is determined according to the regulation time scale of the power grid side energy storage system.

[0112] The day before the operation day is determined as the day-ahead planning stage.

[0113] The time period from the zero point of the operation day to the zero point of the next operation day is determined as the day-in look-ahead scheduling stage.

[0114] A day-ahead-day-in collaborative regulation device of a power grid side energy storage system can include:

[0115] A determination unit is configured to determine a non-expected scheduling framework of a power grid side energy storage system.

[0116] A division unit is configured to divide the non-expected scheduling framework into a day-ahead planning stage and a day-in look-ahead scheduling stage.

[0117] A first construction unit is configured to, for the day-ahead planning stage, determine day-ahead scheduling information and day-ahead decision variables of the power grid side energy storage system, construct a day-ahead planning model of the power grid side energy storage system according to a preset day-ahead planning period based on the day-ahead scheduling information and the day-ahead decision variables, and optimize and solve the day-ahead planning model to obtain a first optimization result, wherein the day-ahead planning model contains non-expected constraints of energy and non-expected constraints of power generation and power consumption in the day-ahead planning stage, and the first optimization result includes energy boundaries, operation conditions and power generation and power consumption boundaries of the power grid side energy storage system at each date period on a preset date.

[0118] A second construction unit is configured to, for the day-in look-ahead scheduling stage, obtain the first optimization result, determine day-in scheduling information and day-in decision variables of the power grid side energy storage system, constrain the energy boundaries of the power grid side energy storage system at the end period of each look-ahead scheduling period in the day-in look-ahead scheduling stage based on the first optimization result as a boundary condition, construct a day-in look-ahead scheduling model of the power grid side energy storage system based on the day-in scheduling information and the day-in decision variables, and optimize and solve the day-in look-ahead scheduling model according to a preset solving period to obtain a plurality of second optimization results, wherein the day-in look-ahead scheduling model contains non-expected constraints of energy and non-expected constraints of power generation and power consumption in the day-in look-ahead scheduling stage, and each second optimization result includes energy boundaries, operation conditions and power generation and power consumption boundaries of the power grid side energy storage system at a preset period.

[0119] A regulating unit is configured to coordinate the energy, operating condition and power generation and consumption of the grid-side energy storage system in the day-ahead planning stage and the day-ahead look-ahead scheduling stage based on the first optimization result and each second optimization result.

[0120] A storage medium including stored instructions, wherein the instructions, when executed, control a device in which the storage medium is located to perform the day-ahead and day-in coordination method of the grid-side energy storage system.

[0121] An electronic device including a memory and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by one or more processors to perform the day-ahead and day-in coordination method of the grid-side energy storage system.

[0122] Compared with the prior art, the present application has the following advantages:

[0123] The present application provides a day-ahead and day-in coordination method of a grid-side energy storage system, which divides the non-anticipatory scheduling framework of the grid-side energy storage system into a day-ahead planning stage and a day-ahead look-ahead scheduling stage, constructs a day-ahead planning model including non-anticipatory constraints of energy and power generation and consumption in the day-ahead planning stage and performs optimization, further constructs a day-ahead look-ahead scheduling model including non-anticipatory constraints of energy and power generation and consumption in the day-ahead look-ahead scheduling stage based on the optimization result of the day-ahead planning model as a boundary condition, and finally guides the actual coordination of the energy, operating condition and power generation and consumption of the grid-side energy storage system based on the day-ahead look-ahead scheduling optimization result considering non-anticipatory and time sequence decoupling. The method provided by the present application makes the coordination scheme of the grid-side energy storage system have the robustness ensured by the day-ahead planning and the flexibility brought by the day-ahead look-ahead scheduling, thereby improving the actual coordination efficiency of the grid-side energy storage system. BRIEF DESCRIPTION OF DRAWINGS

[0124] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of the provided drawings.

[0125] Figure 1 A method flowchart of the day-ahead and day-in coordination method of the grid-side energy storage system provided by the present application;

[0126] Figure 2 An example diagram of the day-ahead and day-in coordination method of the grid-side energy storage system provided by the present application;

[0127] Figure 3 Another example diagram of a day-ahead and day-ahead coordinated control method of a grid-side energy storage system provided by the present application is shown in FIG. 6.

[0128] Figure 4 Another example diagram of a day-ahead and day-ahead coordinated control method of a grid-side energy storage system provided by the present application is shown in FIG. 6.

[0129] Figure 5 A structural schematic diagram of a day-ahead and day-ahead coordinated control device of a grid-side energy storage system provided by the present application is shown in FIG. 7.

[0130] Figure 6 A structural schematic diagram of an electronic device provided by the present application is shown in FIG. 8. DETAILED DESCRIPTION

[0131] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0132] The present application can be used in many general or special-purpose computing device environments or configurations. For example: personal computers, server computers, handheld or laptop devices, tablet devices, multiprocessor devices, distributed computing environments that include any of the above devices or devices, and the like.

[0133] The embodiments of the present application provide a day-ahead and day-ahead coordinated control method of a grid-side energy storage system. The method can be applied in a system platform where the grid-side energy storage system is located. The execution subject of the method can be a processor in the platform. The method flowchart of the method is shown in FIG. 1, which includes: Figure 1

[0134] S101: determining a non-expected scheduling framework of the grid-side energy storage system.

[0135] In the method provided by the embodiments of the present application, when the day-ahead and day-ahead coordinated control of the grid-side energy storage system is performed, the processor first determines a non-expected scheduling framework of the grid-side energy storage system. The non-expected scheduling framework can be understood as a whole time period for scheduling the grid-side energy storage system.

[0136] S102: dividing the non-expected scheduling framework into a day-ahead planning stage and a day-ahead look-ahead scheduling stage.

[0137] ​According to an actual process of regulating and controlling the grid-side energy storage system, the unexpected scheduling framework of the grid-side energy storage system is divided into a day-ahead planning stage and an intra-day forward scheduling stage in the method provided by the embodiment of the application.

[0138] S103: For the day-ahead planning stage, day-ahead scheduling information and day-ahead decision variables of the grid-side energy storage system are determined; based on the day-ahead scheduling information and the day-ahead decision variables, a day-ahead planning model of the grid-side energy storage system is constructed according to a set day-ahead planning period, and the day-ahead planning model is optimized and solved to obtain a first optimization result; the day-ahead planning model contains unexpected constraints of energy and unexpected constraints of power generation and power consumption in the day-ahead planning stage; the first optimization result includes energy boundaries, operating conditions and power generation and power consumption boundaries of the grid-side energy storage system in each date period on a set date;

[0139] S104: For the intra-day forward scheduling stage, the first optimization result is obtained, and intra-day scheduling information and intra-day decision variables of the grid-side energy storage system are determined; the energy boundaries of the grid-side energy storage system at the end of each forward scheduling period in the intra-day forward scheduling stage are constrained with the first optimization result as a boundary condition, and based on the intra-day scheduling information and the intra-day decision variables, an intra-day forward scheduling model of the grid-side energy storage system is constructed, and the intra-day forward scheduling model is optimized and solved according to a set solving period to obtain a plurality of second optimization results; the intra-day forward scheduling model contains unexpected constraints of energy and unexpected constraints of power generation and power consumption in the intra-day forward scheduling stage; each second optimization result includes energy boundaries, operating conditions and power generation and power consumption boundaries of the grid-side energy storage system in a set period;

[0140] S105: Based on the first optimization result and each second optimization result, the energy, operating conditions and power generation and power consumption of the grid-side energy storage system in the day-ahead planning stage and the intra-day forward scheduling stage are cooperatively regulated and controlled.

[0141] The application provides a day-ahead-day-in coordinated regulation method of a grid-side energy storage system.

[0142] In the method, in the day-ahead planning stage, day-ahead decision variables of the grid-side energy storage system on energy, operating conditions and power generation and consumption are introduced, day-ahead scheduling information in the day-ahead planning stage is determined, and a day-ahead planning model is constructed according to the day-ahead scheduling information and the day-ahead decision variables and according to a set day-ahead planning period.

[0143] In the method, 24 hours are taken as one day-ahead planning period, and one day-ahead planning period is divided into multiple time periods, and generally, 24 hours are divided into 96 time periods.

[0144] The day-ahead planning model is optimized and solved to obtain a first optimization result.

[0145] Specifically, a day-ahead planning model of the grid-side energy storage system is constructed according to 24 hours as one day-ahead planning period and containing non-expected constraints of energy and power generation and consumption, and energy boundaries, operating conditions and power generation and consumption boundaries of the grid-side energy storage system in 96 time periods of 24 hours are optimized. The 96 time periods refer to the number of time periods of the day-ahead planning period, and 15 minutes are taken as one time period, and there are 96 time periods in 24 hours.

[0146] In the method provided by the embodiment of the application, in the intraday forward scheduling stage, the optimization result of the day-ahead planning stage and the intraday scheduling information are acquired, the intraday decision variable of the grid-side energy storage system in the intraday forward scheduling stage about energy, operating condition and power generation and consumption power is introduced, the energy boundary of the energy storage system at the end period of each forward scheduling cycle in the intraday forward scheduling stage is constrained by taking the optimization result of the day-ahead planning stage as a boundary condition, and based on the intraday scheduling information and the intraday decision variable, an intraday forward scheduling model of the grid-side energy storage system containing the unexpected constraint of energy and power generation and consumption power is constructed by taking 4 hours (16 periods) as a forward scheduling cycle, and the energy boundary, operating condition and power generation and consumption power boundary of the grid-side energy storage system in the future 4 hours (16 periods) are optimized every 15 minutes. The 16 periods refer to the number of periods of the intraday forward scheduling cycle, and 15 minutes is taken as a period, and there are 16 periods in the future 4 hours.

[0147] The method provided by the embodiment of the application guides the coordinated regulation of the energy, operating condition and power generation and consumption power of the grid-side energy storage system in the day-ahead and intraday stages based on the optimization result of the day-ahead planning and the intraday forward scheduling which are decoupled in terms of unexpectedness and timing.

[0148] In the method provided by the embodiment of the application,

[0149] The unexpectedness refers to the fact that the realization of uncertain quantities such as renewable energy output is observed step by step, so that the scheduling decision should only depend on the observation value of the uncertain quantity at the current time point, and cannot depend on the observation value of the uncertain quantity in the future.

[0150] The day-ahead scheduling information includes the technical parameters of the grid-side energy storage system, the energy value of the initial period of the day-ahead planning cycle, the target energy value of the end period of the day-ahead planning cycle and the day-ahead uncertain parameter information of the system.

[0151] The operating condition is that the grid-side energy storage system is modeled as having three selectable operating conditions, namely a power supply condition, a load condition and a dual condition.

[0152] The optimization result of the day-ahead planning includes the energy boundary, operating condition and power generation and consumption power boundary of the grid-side energy storage system in the next 96 periods.

[0153] The intraday scheduling information includes the technical parameters of the grid-side energy storage system, the energy value of the initial period of the intraday forward scheduling cycle, the target energy value of the end period of the intraday forward scheduling cycle and the intraday uncertain parameter information of the system.

[0154] The every 15 minutes refers to that the intraday forward scheduling model of the grid-side energy storage system is optimized and calculated every 15 minutes (every period).

[0155] The time sequence decoupling means that the scheduling decision of the grid-side energy storage system is executed in sequence according to time periods, the operation constraints between time periods are independent of each other, and the cross-time period constraint is decoupled.

[0156] In the method provided by the embodiment of the application, the day-ahead planning model of the grid-side energy storage system is constructed according to the day-ahead scheduling information and the day-ahead decision variable and according to a day-ahead planning period set in advance, and the method comprises the following steps:

[0157] The energy boundary constraint D1 of the grid-side energy storage system in the day-ahead planning stage is constructed, and the energy boundary constraint D1 is expressed as follows:

[0158] ;

[0159] Wherein:

[0160] represents the lower bound of the energy of the grid-side energy storage system s in the time period t in the day-ahead planning stage;

[0161] represents the upper bound of the energy of the grid-side energy storage system s in the time period t in the day-ahead planning stage;

[0162] and are continuous variables.

[0163] DA represents the day-ahead planning stage.

[0164] represents the rated capacity of the grid-side energy storage system s, S represents the index set of the grid-side energy storage system s, and T represents the index set of the day-ahead planning stage.

[0165] Wherein, the value of t in D1 is determined by T.

[0166] The energy state relaxation constraint D2 of the grid-side energy storage system in the end time period of the day-ahead planning period is constructed, and the energy state relaxation constraint D2 is expressed as follows:

[0167]

[0168] Wherein:

[0169] D2 represents the end time period in the day-ahead planning period, and the day-ahead planning period comprises a plurality of time periods, represents the grid-side energy storage system in the time period ;

[0170] and are used to relax the energy state of the grid-side energy storage system s in the time period a non-negative variable constrained by an energy state;

[0171] represents the negative deviation of the energy value of the grid-side energy storage system s from the target energy value at the time period

[0172] represents the positive deviation of the energy value of the grid-side energy storage system s from the target energy value at the time period

[0173] constructing a generation-consumption power interval constraint D3 for allowing the grid-side energy storage system to operate:

[0174]

[0175] wherein:

[0176] represents the lower limit variable of the power generation of the grid-side energy storage system s at the time period t in the day-ahead planning stage;

[0177] represents the upper limit variable of the power generation of the grid-side energy storage system s at the time period t in the day-ahead planning stage;

[0178] and continuous variables;

[0179] for indicating whether the lower limit variable of the power generation of the grid-side energy storage system s at the time period in the day-ahead planning stage is effective, taking 1 to represent effective, taking 0 to represent ineffective;

[0180] for indicating whether the upper limit variable of the power generation of the grid-side energy storage system s at the time period in the day-ahead planning stage is effective, taking 1 to represent effective, taking 0 to represent ineffective; and

[0181] binary variables; represents the lower limit variable of the power consumption of the grid-side energy storage system s at the time period

[0182] in the day-ahead planning stage;

[0183] ​​​​​1 indicates that the grid-side energy storage system is in the generation mode in the day-ahead planning stage, in the time period the upper limit of electricity consumption variable;

[0184] and is a continuous variable;

[0185] 1 indicates that the grid-side energy storage system is in the generation mode in the day-ahead planning stage, in the time period the lower limit of electricity consumption variable is effective, 1 indicates that the grid-side energy storage system is in the generation mode in the day-ahead planning stage, 0 indicates that the grid-side energy storage system is in the generation mode in the day-ahead planning stage;

[0186] 1 indicates that the grid-side energy storage system is in the generation mode in the day-ahead planning stage, in the time period the upper limit of electricity consumption variable is effective; 1 indicates that the grid-side energy storage system is in the generation mode in the day-ahead planning stage, 0 indicates that the grid-side energy storage system is in the generation mode in the day-ahead planning stage;

[0187] and is a binary variable;

[0188] indicates the rated generation power of the grid-side energy storage system ;

[0189] indicates the rated electricity consumption power of the grid-side energy storage system ;

[0190] DC indicates the generation state of the grid-side energy storage system s;

[0191] CH indicates the electricity consumption state of the grid-side energy storage system s;

[0192] The generation and consumption power interval corresponds to the operating condition, the power interval corresponding to the power supply condition , the power interval corresponding to the load condition , and the power interval corresponding to the dual condition ; according to the constraint, only two variables in need of action can specify a power interval, that is, specify an operating condition, so the other two variables are forced to be 0.

[0193] The robust state transition equation M1 of the grid-side energy storage system in the day-ahead planning stage is constructed:

[0194]

[0195] wherein:

[0196] represents the generation efficiency of the grid-side energy storage system ;

[0197] represents the consumption efficiency of the grid-side energy storage system ;

[0198] represents the time granularity;

[0199] constructing the generation and consumption power upper and lower limit constraints D4 of the grid-side energy storage system in the day-ahead planning stage:

[0200]

[0201] for indicating the planned generation and consumption state of the grid-side energy storage system in a time period in the day-ahead planning stage;

[0202] is a binary variable;

[0203] when takes 1, it represents that the grid-side energy storage system is planned to run in the generation state in a time period ;

[0204] when takes 0, it represents that the grid-side energy storage system is planned to run in the consumption state in a time period ;

[0205] represents the generation power of the grid-side energy storage system in a time period in the day-ahead planning stage;

[0206] represents the consumption power of the grid-side energy storage system in a time period in the day-ahead planning stage;

[0207] and are continuous variables;

[0208] based on the D1, D2, D3, D4 and the M1, the construction of the day-ahead planning model is completed.

[0209] The method provided by the embodiment of the present application introduces the above-mentioned variables, constructs corresponding constraints and equations, and constructs an overall day-ahead planning model.

[0210] In the above-mentioned formulas corresponding to the constraints and equations, the specific meanings of the corresponding variables do not affect the actual construction of the constraints due to the use of the same characters. For example, the character t represents time in the above-mentioned constraints, but the values of the character t in different constraints can be different. The specific values of the character t can be determined according to the actual use environment of each constraint. Such use does not cause unclear problems between the constraints. After checking the construction process of each constraint and the values and specific meanings of the corresponding characters, a person skilled in the art can clearly use each constraint and the formulas in the constraints.

[0211] The constraints constructed in the day-ahead planning stage can ensure that the grid-side energy storage system can safely operate in the power range indicated by the upper and lower limits of the day-ahead planning power generation and consumption power of the grid-side energy storage system, and the power generation and consumption power of each operating period is independent of each other, that is, the grid-side energy storage system day-ahead planning model including the energy and unexpected constraints of power generation and consumption power realizes the time sequence decoupling of the grid-side energy storage system operating in sequence by time period in the day-ahead planning period.

[0212] In the method provided by the embodiment of the present application, the day-ahead planning model of the grid-side energy storage system is constructed based on the day-ahead scheduling information and the day-ahead decision variable, and the method comprises the following steps.

[0213] The energy boundary constraint D5 of the grid-side energy storage system in the day-ahead planning stage is constructed.

[0214]

[0215] Wherein:

[0216] represents the energy lower limit of the grid-side energy storage system in the day-ahead planning stage; in the time period ;

[0217] represents the energy upper limit of the grid-side energy storage system in the day-ahead planning stage; in the time period ;

[0218] and are continuous variables;

[0219] represents the day-ahead planning stage;

[0220] denotes the current time period , the indicator set of the intraday look-ahead scheduling phase;

[0221] wherein L = 16, L is the number of time periods of the intraday look-ahead scheduling period;

[0222] constructing an energy boundary constraint D6 of the grid-side energy storage system at the end time period of each look-ahead scheduling period within the intraday look-ahead scheduling phase:

[0223]

[0224] wherein:

[0225] denotes the current time period of the end time period of the look-ahead scheduling period;

[0226] denotes the day-ahead planning energy lower bound of time period ;

[0227] denotes the day-ahead planning energy upper bound of time period ;

[0228] constructing an energy state relaxation constraint D7 of the grid-side energy storage system at the end time period of the operation day:

[0229]

[0230] and is a non-negative variable for relaxing the energy state constraint of the grid-side energy storage system s at the end time period of the operation day;

[0231] denotes the end time period of the operation day in D7;

[0232] denotes the target energy value of the grid-side energy storage system at time period ;

[0233] constructing an intraday look-ahead scheduling generation and consumption power interval constraint D8 for specifying the allowable operation of the grid-side energy storage system:

[0234]

[0235] wherein:

[0236] denotes the generation lower bound variable of the grid-side energy storage system at time period within the intraday look-ahead scheduling phase;

[0237] representing a generation upper limit variable for the grid-side energy storage system for a time period ;

[0238] and are continuous variables;

[0239] representing a generation upper limit variable for the grid-side energy storage system for a time period , taking the value 1 means that it is active, taking the value 0 means that it is not active;

[0240] representing a generation upper limit variable for the grid-side energy storage system for a time period ; taking the value 1 means that it is active, taking the value 0 means that it is not active;

[0241] and are binary variables;

[0242] representing a consumption lower limit variable for the grid-side energy storage system for a time period ;

[0243] representing a consumption upper limit variable for the grid-side energy storage system for a time period ;

[0244] and are continuous variables;

[0245] representing a consumption lower limit variable for the grid-side energy storage system for a time period , taking the value 1 means that it is active, taking the value 0 means that it is not active;

[0246] representing a consumption upper limit variable for the grid-side energy storage system for a time period whether the upper limit of the power consumption variable is effective; taking 1 means effective, taking 0 means ineffective;

[0247] and is a binary variable;

[0248] The power generation power interval and the operating condition have a corresponding relationship, and the power supply condition corresponds to the power interval , the load condition corresponds to the power interval , and the double condition corresponds to the power interval ; from the constraint, only two variables in the above formula are effective, which can specify a power interval, that is, an operating condition, so the other two variables are forced to be 0.

[0249] The robust state transition equation M2 of the grid-side energy storage system in the day-ahead scheduling stage is constructed:

[0250]

[0251] is used to indicate the forward scheduling state of the grid-side energy storage system in the period in the day-ahead scheduling stage;

[0252] is a binary variable;

[0253] when is 1, it means that the grid-side energy storage system runs in the power generation state in the period in the forward scheduling;

[0254] when is 0, it means that the grid-side energy storage system runs in the power consumption state in the period in the forward scheduling;

[0255] represents the power generation power of the grid-side energy storage system in the period in the day-ahead scheduling stage;

[0256] represents the power consumption power of the grid-side energy storage system in the period in the day-ahead scheduling stage;

[0257] and is a continuous variable;

[0258] constructing the upper and lower limit constraints D9 of the generation and consumption power of the grid-side energy storage system in the day-ahead scheduling stage;

[0259]

[0260] Based on the D5, D6, D7, D8, D9 and the M2, the construction of the day-ahead scheduling model is completed.

[0261] The method provided by the embodiment of the application introduces the above-mentioned various variables, constructs corresponding constraints and equations, and constructs the overall day-ahead scheduling model.

[0262] In the formula corresponding to the above-mentioned various constraints and equations, the specific meaning of the corresponding variable does not affect the actual construction of each constraint because of using the same character. The meaning of the corresponding character in the above-mentioned various constraints can express the same meaning, but the value in different constraints can be different. The specific value of the character can be determined according to the actual use environment of each constraint. Such use does not cause the problem of unclearness between each constraint. After checking the construction process of each constraint and the value and specific meaning of the corresponding character, the person skilled in the art can clearly use each constraint and the formula in the constraint.

[0263] Each constraint constructed in the day-ahead scheduling stage can ensure that the grid-side energy storage system can safely operate in the power range shown by the upper and lower limit constraints of the generation and consumption power in the day-ahead scheduling stage regardless of the energy of the grid-side energy storage system. The generation and consumption power of each operating period is independent of each other, that is, the grid-side energy storage system day-ahead scheduling model including the energy and generation and consumption power unexpected constraints realizes the time sequence decoupling of the grid-side energy storage system operating in sequence by period in the day-ahead scheduling period.

[0264] In the method provided by the embodiment of the application, the day-ahead scheduling information is determined by:

[0265] obtaining a first technical parameter of the grid-side energy storage system in the day-ahead planning stage;

[0266] obtaining a first initial energy value of an initial period of the day-ahead planning period and a first target energy value of an ending period of the day-ahead planning period of the grid-side energy storage system;

[0267] obtaining day-ahead uncertain parameter information of the grid-side energy storage system in the day-ahead planning stage;

[0268] determining the first technical parameter, the first initial energy value, the first target energy value and the day-ahead uncertain parameter information as the day-ahead scheduling information.

[0269] The method provided by the embodiment of the application includes the first technical parameter of the day-ahead stage, the first initial energy value of the grid-side energy storage system at the initial period of the day-ahead planning period and the first target energy value of the grid-side energy storage system at the ending period of the day-ahead planning period, and the day-ahead uncertain parameter information of the grid-side energy storage system in the day-ahead planning stage.

[0270] In the method provided by the embodiment of the application, the day-ahead scheduling information is determined by:

[0271] The second technical parameter of the grid-side energy storage system in the day-ahead look-ahead scheduling stage is obtained.

[0272] The second initial energy value of the grid-side energy storage system at the initial period of each look-ahead scheduling period in the day-ahead look-ahead scheduling stage and the second target energy value of the grid-side energy storage system at the ending period of each look-ahead scheduling period are obtained.

[0273] The day-ahead uncertain parameter information of the grid-side energy storage system in the day-ahead look-ahead scheduling stage is obtained.

[0274] The second technical parameter, the second initial energy value, the second target energy value and the day-ahead uncertain parameter information are determined as the day-ahead scheduling information.

[0275] In the method provided by the embodiment of the application, the day-ahead scheduling information includes the second technical parameter of the grid-side energy storage system in the day-ahead look-ahead scheduling stage, the second initial energy value of the grid-side energy storage system at the initial period of each look-ahead scheduling period in the day-ahead look-ahead scheduling stage and the second target energy value of the grid-side energy storage system at the ending period of each look-ahead scheduling period, and the day-ahead uncertain parameter information of the grid-side energy storage system in the day-ahead look-ahead scheduling stage.

[0276] In the method provided by the embodiment of the application, the operation condition includes a power supply condition, a load condition and a double condition.

[0277] In the method provided by the embodiment of the application, the non-expected scheduling framework is divided into a day-ahead planning stage and a day-ahead look-ahead scheduling stage, including:

[0278] According to the regulation time scale of the grid-side energy storage system, the operation day of the grid-side energy storage system is determined.

[0279] The day before the operation day is determined as the day-ahead planning stage.

[0280] The middle period from zero point of the operation day to zero point of the next operation day is determined as the day-ahead look-ahead scheduling stage.

[0281] ReferenceFigure 2 、 Figure 3 and Figure 4 , shows an example diagram of a day-ahead-day-of coordinated regulation method of a grid-side energy storage system provided by an embodiment of the application, the specific process of actual application: as shown in Figures 2-4 The day-ahead planning energy boundary is derived from the first optimization result obtained by solving the day-ahead planning model, and the day-ahead planning energy boundary is used as a boundary condition. In the day-of look-ahead scheduling stage, the energy boundary of the last period of each look-ahead scheduling cycle (the look-ahead scheduling time window shown in the figure) must meet the constraint limit of the day-ahead planning energy boundary (that is, within the day-ahead planning energy boundary), and other periods of the last period have no such constraint limit. This design makes the regulation scheme of the grid-side energy storage system have the robustness guaranteed by the day-ahead planning while fully exerting the flexibility brought by the day-of look-ahead scheduling.

[0282] and Figure 1 Corresponding to the method, an embodiment of the application further provides a day-ahead-day-of coordinated regulation device of a grid-side energy storage system, which is used for specific implementation of the method in Figure 1 The structural schematic diagram of the device is shown in Figure 5 , and specifically includes:

[0283] A determination unit 201 is configured to determine a non-expected scheduling framework of a grid-side energy storage system.

[0284] A division unit 202 is configured to divide the non-expected scheduling framework into a day-ahead planning stage and a day-of look-ahead scheduling stage.

[0285] A first construction unit 203 is configured to, for the day-ahead planning stage, determine day-ahead scheduling information and day-ahead decision variables of the grid-side energy storage system, construct a day-ahead planning model of the grid-side energy storage system according to a set day-ahead planning cycle based on the day-ahead scheduling information and the day-ahead decision variables, and optimize and solve the day-ahead planning model to obtain a first optimization result. The day-ahead planning model contains non-expected constraints of energy and non-expected constraints of power generation and consumption in the day-ahead planning stage. The first optimization result includes energy boundaries, operating conditions and power generation and consumption boundaries of the grid-side energy storage system at each date period on a set date.

[0286] The second construction unit 204 is configured to: for the intraday forward scheduling stage, acquire the first optimization result, and determine intraday scheduling information and intraday decision variables of the grid-side energy storage system; take the first optimization result as a boundary condition to constrain an energy boundary of the grid-side energy storage system at the end period of each forward scheduling period in the intraday forward scheduling stage, construct an intraday forward scheduling model of the grid-side energy storage system based on the intraday scheduling information and the intraday decision variables, and perform optimization solving on the intraday forward scheduling model according to a set solving period to obtain a plurality of second optimization results; the intraday forward scheduling model comprises an unexpected constraint of energy and an unexpected constraint of power generation and consumption in the intraday forward scheduling stage; and each second optimization result comprises an energy boundary, an operating condition and a power generation and consumption boundary of the grid-side energy storage system in a set period.

[0287] The regulation unit 205 is configured to perform coordinated regulation on energy, operating conditions and power generation and consumption of the grid-side energy storage system in the day-ahead planning stage and the intraday forward scheduling stage based on the first optimization result and each second optimization result.

[0288] The application provides a day-ahead-intraday coordinated regulation device for a grid-side energy storage system, which divides an unexpected scheduling framework of the grid-side energy storage system into a day-ahead planning stage and an intraday forward scheduling stage, constructs a day-ahead planning model comprising unexpected constraints of energy and power generation and consumption in the day-ahead planning stage and performs optimization solving, then takes an optimization result of the day-ahead planning model as a boundary condition to construct an intraday forward scheduling model comprising unexpected constraints of energy and power generation and consumption in the intraday forward scheduling stage and perform optimization solving, and finally guides actual regulation of energy, operating conditions and power generation and consumption of the grid-side energy storage system based on an intraday forward scheduling optimization result considering unexpectedness and time sequence decoupling. The method provided by the application enables the regulation scheme of the grid-side energy storage system to have robustness ensured by day-ahead planning and flexibility brought by intraday forward scheduling, thereby improving actual regulation efficiency of the grid-side energy storage system.

[0289] The application also provides a storage medium comprising stored instructions, wherein the instructions control a device where the storage medium is located to perform the day-ahead-intraday coordinated regulation method for the grid-side energy storage system when the instructions are executed.

[0290] The application also provides an electronic device, a structural schematic diagram of which is as shown in Figure 6As shown, specifically includes a memory 301, and one or more instructions 302, wherein one or more instructions 302 is stored in the memory 301, and configured to be executed by one or more processors 303 said one or more instructions 302 to perform the following operations:

[0291] Determine the unexpected scheduling framework of the grid-side energy storage system;

[0292] Divide the unexpected scheduling framework into a day-ahead planning stage and an intra-day look-ahead scheduling stage;

[0293] For the day-ahead planning stage, determine the day-ahead scheduling information and the day-ahead decision variables of the grid-side energy storage system; based on the day-ahead scheduling information and the day-ahead decision variables, construct a day-ahead planning model of the grid-side energy storage system according to the set day-ahead planning period, and optimize and solve the day-ahead planning model to obtain a first optimization result; the day-ahead planning model contains unexpected constraints of energy and unexpected constraints of power generation and consumption in the day-ahead planning stage; the first optimization result includes the energy boundary, operating condition and power generation and consumption boundary of the grid-side energy storage system at each date period on the set date;

[0294] For the intra-day look-ahead scheduling stage, obtain the first optimization result, and determine the intra-day scheduling information and the intra-day decision variables of the grid-side energy storage system; constrain the energy boundary of the grid-side energy storage system at the end period of each look-ahead scheduling period in the intra-day look-ahead scheduling stage with the first optimization result as a boundary condition, and based on the intra-day scheduling information and the intra-day decision variables, construct an intra-day look-ahead scheduling model of the grid-side energy storage system, and optimize and solve the intra-day look-ahead scheduling model according to the set solving period to obtain a plurality of second optimization results; the intra-day look-ahead scheduling model contains unexpected constraints of energy and unexpected constraints of power generation and consumption in the intra-day look-ahead scheduling stage; each second optimization result includes the energy boundary, operating condition and power generation and consumption boundary of the grid-side energy storage system at the set period;

[0295] Based on the first optimization result and each second optimization result, coordinate and control the energy, operating condition and power generation and consumption of the grid-side energy storage system in the day-ahead planning stage and the intra-day look-ahead scheduling stage.

[0296] It should be noted that each embodiment in the specification is described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same and similar parts of each embodiment can be referred to each other. For device embodiments, since they are basically similar to method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0297] Finally, it is to be understood that the phraseology or terminology such as "first" and "second" etc. used herein is merely intended to differentiate one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between such entities or operations. Moreover, the terms "comprising", "including", or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the recited element.

[0298] For the convenience of description, the above apparatus is described in various units by function. Of course, the functions of the units can be implemented in one or more software and / or hardware when implementing the present application.

[0299] From the above description of the embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solutions of the present application, in essence or in the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0300] The above provides a detailed introduction to the day-ahead and day-ahead collaborative control method of the power grid side energy storage system and related equipment. The principle and implementation manner of the present application are described by applying specific examples in this paper. The above embodiment description is only used to help understand the method and core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation manner and application range will be changed; in view of the above, the content of the specification should not be understood as a limitation of the present application.

Claims

1. A day-ahead and day-ahead coordinated control method of a grid-side energy storage system, characterized in that, The application relates to a non-expected scheduling framework of a grid-side energy storage system. The non-expected scheduling framework is divided into a day-ahead planning stage and an intra-day look-ahead scheduling stage. For the day-ahead planning stage, day-ahead scheduling information and day-ahead decision variables of the grid-side energy storage system are determined. Based on the day-ahead scheduling information and the day-ahead decision variables, a day-ahead planning model of the grid-side energy storage system is constructed according to a set day-ahead planning period, and the day-ahead planning model is optimized to obtain a first optimization result. The day-ahead planning model contains non-expected constraints of energy and non-expected constraints of power generation and power consumption in the day-ahead planning stage. The first optimization result includes energy boundaries, operating conditions and power generation and power consumption boundaries of the grid-side energy storage system in each date period on a set date. For the intra-day look-ahead scheduling stage, the first optimization result is obtained, and intra-day scheduling information and intra-day decision variables of the grid-side energy storage system are determined. The energy boundaries of the grid-side energy storage system at the end of each look-ahead scheduling period in the intra-day look-ahead scheduling stage are restricted by the first optimization result, and an intra-day look-ahead scheduling model of the grid-side energy storage system is constructed based on the intra-day scheduling information and the intra-day decision variables. The intra-day look-ahead scheduling model is optimized according to a set solving period to obtain a plurality of second optimization results.

2. The day-ahead and day-ahead coordinated control method of grid-side energy storage system according to claim 1, characterized in that, The intra-day look-ahead scheduling model contains non-expected constraints of energy and non-expected constraints of power generation and power consumption in the intra-day look-ahead scheduling stage. Each second optimization result includes energy boundaries, operating conditions and power generation and power consumption boundaries of the grid-side energy storage system in a set period. ； Based on the first optimization result and each second optimization result, the energy, operating conditions and power generation and power consumption of the grid-side energy storage system in the day-ahead planning stage and the intra-day look-ahead scheduling stage are coordinately controlled. represents a lower bound of energy of the grid-side energy storage system s at time period t within the day-ahead planning phase; represents an upper energy bound of the grid-side energy storage system s at time period t within the day-ahead planning phase; The day-ahead planning model of the grid-side energy storage system is constructed based on the day-ahead scheduling information and the day-ahead decision variables according to a set day-ahead planning period. represents the rated capacity of the grid-side energy storage system s, S represents a set of indices of the grid-side energy storage system s, and T represents a set of indices of the day-ahead planning stage; The energy boundary constraint D1 of the grid-side energy storage system in the day-ahead planning stage is constructed. Wherein, DA represents the day-ahead planning stage. ； Wherein, the value of t in D1 is determined by T. in D2 a time period of an end of the day-ahead planning period, the day-ahead planning period comprising a plurality of time periods, representing the grid-side energy storage system in time period a target energy value; and for relaxing the energy state constraints of the grid-side energy storage system s in a non-negative variable; represents a negative deviation of the energy value of the grid-side energy storage system s from a target energy value of the energy storage system s from a target energy value represents a positive deviation of the energy value of the grid-side energy storage system s from a target energy value of the grid-side energy storage system s from a target energy value The energy state relaxation constraint D2 of the grid-side energy storage system at the end of the day-ahead planning period is constructed. ； Wherein, the energy state relaxation constraint D2 of the grid-side energy storage system at the end of the day-ahead planning period is constructed. represents a lower bound variable of generation of the grid-side energy storage system s at time period t within the day-ahead planning stage; represents an upper generation limit variable of the grid-side energy storage system s at time period t within the day-ahead planning phase; a variable indicating whether the generation lower limit variable is active for the time period a variable indicating whether the generation lower limit variable is active for the time period a variable indicating whether the generation lower limit variable is active for the time period a variable indicating whether the generation lower limit variable is active for the time period a variable indicating whether the generation lower limit variable is active for the time period whether the upper generation limit variable is active for the time period in the day-ahead planning phase of the power grid side energy storage system taking 1 means active taking 0 means inactive representing the grid-side energy storage system at a time period a lower limit variable of electricity consumption representing the grid-side energy storage system a period of time a variable upper limit on electricity consumption whether the lower limit of electricity consumption variable is active for the time period whether the lower limit of electricity consumption variable is active for the time period whether the lower limit of electricity consumption variable is active for the time period a value of 1 indicates active, a value of 0 indicates inactive; whether the upper limit on electricity usage variable is active for the time period whether the upper limit on electricity usage variable is active for the time period whether the upper limit on electricity usage variable is active for the time period a value of 1 indicates that the upper limit on electricity usage variable is active, a value of 0 indicates that the upper limit on electricity usage variable is not active. representing a rated power generation of the grid-side energy storage system ; representing a rated power consumption of the grid-side energy storage system ; The power generation and power consumption interval constraint D3 for allowing the grid-side energy storage system to operate is constructed. Wherein, DC represents the power generation state of the grid-side energy storage system s. CH represents the power consumption state of the grid-side energy storage system s. ； The robust state transition equation M1 of the grid-side energy storage system in the day-ahead planning stage is constructed. representing a power grid side energy storage system efficiency of power generation; representing a grid-side energy storage system efficiency of electricity use; denotes the time granularity; Wherein, the robust state transition equation M1 of the grid-side energy storage system in the day-ahead planning stage is constructed. ； for indicating the planned state of charge of the electrical energy storage system at the day-ahead planning stage at a time period of planned state of charge; When Taking 1 means that the grid-side energy storage system In the time period Is planned to operate in generating mode; When with 0, indicates that the grid-side energy storage system for a time period is scheduled to operate in a powered-off state; representing the grid-side energy storage system in the day-ahead planning phase generation power; representing the grid-side energy storage system in the day-ahead planning phase power consumption power; The upper and lower power generation and power consumption constraints D4 of the grid-side energy storage system in the day-ahead planning stage are constructed.

3. The day-ahead and day-ahead coordinated control method of grid-side energy storage system according to claim 2, characterized in that, The day-ahead planning model is constructed based on the D1, D2, D3, D4 and the M1. The intra-day look-ahead scheduling model of the grid-side energy storage system is constructed based on the intra-day scheduling information and the intra-day decision variables. constructing an energy boundary constraint D5 of the grid-side energy storage system in the intra-day look-ahead scheduling stage: ； wherein: representing the energy available to the grid-side energy storage system at the time period lower bound of energy representing the energy upper bound of the grid-side energy storage system in the day-ahead scheduling phase in the day-ahead scheduling phase denotes the intra-day look-ahead scheduling phase; representing a current time period a set of indicators of the intra-day look-ahead scheduling phase; wherein L = 16, L is the number of time periods of the intra-day look-ahead scheduling period; constructing an energy boundary constraint D6 of the grid-side energy storage system at the end time period of each look-ahead scheduling cycle in the intra-day look-ahead scheduling stage: ； wherein: representing a current time period at the end of a lookahead scheduling period representative time period day-ahead schedule energy lower bound; representing a time period day-ahead schedule energy upper bound; constructing an energy state relaxation constraint D7 of the grid-side energy storage system at the end time period of the operation day: ； and is a non-negative variable for relaxing the energy state constraint of the grid-side energy storage system s at the end of the operating day period; In D7 the end of the day period is indicated; representing the grid-side energy storage system at a time period a target energy value; constructing an intra-day look-ahead scheduling generation and consumption power interval constraint D8 for specifying the grid-side energy storage system operation allowed in the intra-day look-ahead scheduling: ； wherein: representing said grid-side energy storage system a generation lower limit variable for a time period a generation lower limit variable for a time period representing said grid-side energy storage system a generation upper limit variable for a time period a generation upper limit variable for a time period for indicating whether the day-ahead look-ahead dispatch phase in time period of the generation lower limit variable, taking 1 means active, taking 0 means inactive; for indicating whether the upper generation limit variable is active during the day-ahead scheduling phase for the grid-side energy storage system for a time period whether the upper generation limit variable is active; a value of 1 indicates that it is active, a value of 0 indicates that it is not active; representing the grid-side energy storage system a variable of electricity consumption lower limit at a time period representing the grid-side energy storage system a variable representing an upper limit on electricity consumption at the time period for indicating whether the grid-side energy storage system is to be used in the day-ahead scheduling phase, a variable of lower limit of electricity consumption in the time period, taking 1 means that it is used, taking 0 means that it is not used; for indicating whether the upper limit of electricity consumption variable for the period in the day-ahead scheduling phase for the grid-side energy storage system is active; taking 1 means active, taking 0 means not active; constructing a robust state transition equation M2 of the grid-side energy storage system in the intra-day look-ahead scheduling stage: ； for indicating the grid-side energy storage system in the day-ahead scheduling phase of the day-ahead scheduling dispatching state; When Taking 1 means that the grid-side energy storage system In the time period The forward scheduling operates in a generation state; When Taking 0, indicates that the grid-side energy storage system In the time period The forward scheduling runs in the power consumption state; representing the power generation of the power plant in the day-ahead scheduling phase in the day-ahead scheduling phase representing the grid-side energy storage system in the day-ahead scheduling phase of the power consumption; constructing a generation and consumption power upper and lower limit constraint D9 of the grid-side energy storage system in the intra-day look-ahead scheduling stage: ； based on the D5, D6, D7, D8, D9 and the M2, completing the construction of the intra-day look-ahead scheduling model.

4. The day-ahead and day-ahead coordinated control method of grid-side energy storage system according to claim 1, characterized in that, The determining day-ahead scheduling information comprises: obtaining a first technical parameter of the grid-side energy storage system in the day-ahead planning stage; obtaining a first initial energy value at the initial time period of the day-ahead planning cycle and a first target energy value at the end time period of the day-ahead planning cycle of the grid-side energy storage system; obtaining day-ahead uncertain parameter information of the grid-side energy storage system in the day-ahead planning stage; determining the first technical parameter, the first initial energy value, the first target energy value and the day-ahead uncertain parameter information as the day-ahead scheduling information.

5. The day-ahead and day-ahead coordinated control method of grid-side energy storage system according to claim 1, characterized in that, The determining day-ahead scheduling information comprises: obtaining a first technical parameter of the grid-side energy storage system in the day-ahead planning stage; obtaining a first initial energy value at the initial time period of the day-ahead planning cycle and a first target energy value at the end time period of the day-ahead planning cycle of the grid-side energy storage system; obtaining day-ahead uncertain parameter information of the grid-side energy storage system in the day-ahead planning stage; determining the first technical parameter, the first initial energy value, the first target energy value and the day-ahead uncertain parameter information as the day-ahead scheduling information.

6. The day-ahead and day-ahead coordinated control method of grid-side energy storage system according to claim 1, characterized in that, The operation condition comprises a power supply condition, a load condition and a double condition.

7. The day-ahead and day-ahead coordinated control method of grid-side energy storage system according to claim 1, characterized in that, The dividing the non-anticipatory scheduling framework into a day-ahead planning stage and an intra-day look-ahead scheduling stage comprises: determining an operation day of the grid-side energy storage system according to a regulation time scale of the grid-side energy storage system; determining a day before the operation day as the day-ahead planning stage; determining a middle time period from zero point of the operation day to zero point of the next operation day as the intra-day look-ahead scheduling stage.

8. A day-ahead and day-ahead coordinated control device of a grid-side energy storage system, characterized in that, Comprise: a determination unit for determining a non-anticipatory scheduling framework of a grid-side energy storage system; a division unit for dividing the non-anticipatory scheduling framework into a day-ahead planning stage and an intra-day look-ahead scheduling stage; a first construction unit for, for the day-ahead planning stage, determining day-ahead scheduling information and day-ahead decision variables of the grid-side energy storage system; based on the day-ahead scheduling information and the day-ahead decision variables, constructing a day-ahead planning model of the grid-side energy storage system according to a set day-ahead planning cycle, and optimizing and solving the day-ahead planning model to obtain a first optimization result; The day-ahead planning model comprises unexpected constraints of energy and unexpected constraints of power generation and consumption in the day-ahead planning stage; and the first optimization result comprises energy boundaries, operating conditions and power generation and consumption boundaries of the grid-side energy storage system in each time period on the set date. The second construction unit is configured to, for the intra-day look-ahead scheduling stage, acquire the first optimization result, and determine intra-day scheduling information and intra-day decision variables of the grid-side energy storage system. The energy boundaries of the grid-side energy storage system in each look-ahead scheduling period terminal time period in the intra-day look-ahead scheduling stage are constrained by taking the first optimization result as a boundary condition, and an intra-day look-ahead scheduling model of the grid-side energy storage system is constructed based on the intra-day scheduling information and the intra-day decision variables, and the intra-day look-ahead scheduling model is solved in a set solving period to obtain a plurality of second optimization results; the intra-day look-ahead scheduling model comprises unexpected constraints of energy and unexpected constraints of power generation and consumption in the intra-day look-ahead scheduling stage; and each second optimization result comprises energy boundaries, operating conditions and power generation and consumption boundaries of the grid-side energy storage system in a set time period. The regulation unit is configured to, based on the first optimization result and each second optimization result, perform coordinated regulation on energy, operating conditions and power generation and consumption of the grid-side energy storage system in the day-ahead planning stage and the intra-day look-ahead scheduling stage.

9. A storage medium, characterized by The storage medium comprises stored instructions, wherein the instructions, when executed, control a device in which the storage medium is located to perform the day-ahead-intra-day coordinated regulation method of the grid-side energy storage system according to any one of claims 1 to 7.

10. An electronic device, comprising: The device comprises a memory and one or more instructions, wherein the one or more instructions are stored in the memory and are configured to be executed by one or more processors to perform the day-ahead-intra-day coordinated regulation method of the grid-side energy storage system according to any one of claims 1 to 7.

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