Microgrid energy storage optimization configuration method and system based on uncertainty and instantaneity

Abstract

A method and system for optimizing energy storage configuration of a microgrid based on uncertainty and instantaneity, when the microgrid is in non-isolated operation, the objective function is to minimize the energy storage cost and the operating cost of the microgrid system, and the objective function and the stable joint constraints of the microgrid and the stable joint constraints of the energy storage device constitute the lower model of the energy storage optimization configuration; the lower model of the energy storage optimization configuration is iteratively solved to obtain the energy storage configuration scheme under the non-isolated operation of the microgrid; when the microgrid is in isolated operation, the economic index of the energy storage configuration scheme under the non-isolated operation of the microgrid is the optimal as the objective function, and the objective function and the backup constraints of the energy storage device constitute the upper model of the energy storage optimization configuration; the upper model of the energy storage optimization configuration is iteratively solved to obtain the energy storage optimization configuration scheme of the microgrid. The present invention considers both the uncertainty factors of the microgrid and the instantaneous characteristics of the power supply to perform energy storage configuration, thereby improving the safety and economy of the microgrid energy storage configuration.

Description

Technical Field

[0001] The present invention belongs to the technical field of microgrid energy storage configuration, and in particular, relates to a microgrid energy storage optimization configuration method and system taking into account the uncertainty and transient characteristics of power resources. Background Art

[0002] With the increase in the penetration rate of new energy and the development of new power systems, microgrids have become an important technology for coping with fluctuations in new energy generation, improving power supply reliability and improving energy utilization efficiency. Microgrids can use distributed power sources in a certain area to provide electricity according to user needs, effectively alleviating the expansion needs of large power grids and providing solutions to power supply problems in remote areas. Microgrids are characterized by their flexibility and reliability. Microgrids must take into account the diversity and complementarity of power resources during design and operation, so microgrids basically need to reasonably configure energy storage systems. In daily operation, energy storage systems participate in peak load shaving and valley leveling to improve the operating efficiency and economy of the power grid. For example, during peak load periods, energy storage systems can provide peak capacity to meet short-term high load demands; during low load periods, energy storage systems store excess electricity for subsequent use. In addition, energy storage systems can effectively absorb new energy, such as solar energy and wind energy. The output of these energies is often intermittent and unpredictable. The intervention of energy storage systems can smooth out such fluctuations and improve the utilization rate of new energy. In the case of disconnection of the external power grid, the role of the energy storage system is particularly obvious. It not only needs to make up for the lack of power generation due to the disconnection of the external large power grid, but also needs to ensure that the stored power and the power generation resources in the microgrid (such as rooftop photovoltaics, distributed wind power, micro gas turbines, diesel generators, etc.) can meet the power demand during the isolated grid operation. This capability is crucial to ensure the power supply of the microgrid during the isolated grid operation, ensuring that the microgrid is self-sufficient in power when facing external large grid failures or other unforeseen situations.

[0003] In the prior art, the energy storage configuration of microgrids is difficult due to the volatility of both the renewable energy generation resources and the power load in the microgrid, and the randomness of the external large power grid failure. If the energy storage configuration is insufficient, on the one hand, the peak-shaving and valley-filling capacity is limited, which may cause economic problems such as excessive import of electricity from the external large power grid or insufficient consumption of local renewable energy generation; on the other hand, once forced to enter the isolated grid operation mode, insufficient energy storage resources in the microgrid may even lead to safety problems such as power supply shortage and load shedding, affecting the safe and stable operation of the microgrid. In addition, microgrids are generally equipped with non-instantaneous starting power supplies such as diesel generators or micro gas turbines. If the instantaneous characteristics of these power supplies are not fully considered, the energy storage that can act instantaneously is too much or the standby power is too much, which will cause idle waste of energy storage resources and affect the economy of the entire system. Therefore, there is currently no method to reasonably configure energy storage while considering the uncertainty factors of the microgrid and the instantaneous characteristics of the power supply, and it is difficult to take into account the safety, stability and economy of the microgrid operation at the same time. Summary of the invention

[0004] In order to solve the deficiencies in the prior art, the present invention provides a microgrid energy storage optimization configuration method and system based on uncertainty and instantaneity, which simultaneously considers the uncertainty factors of the microgrid and the instantaneous characteristics of the power supply to perform energy storage configuration, thereby improving the safety and economy of the microgrid energy storage configuration.

[0005] The present invention adopts the following technical solution.

[0006] The present invention proposes a microgrid energy storage optimization configuration method based on uncertainty and instantaneity, comprising:

[0007] Obtain the historical operation data of each time period in different scenarios when the microgrid is operating in an isolated network and the historical operation data of each time period in different scenarios when the microgrid is operating in a non-isolated network;

[0008] When the microgrid is in non-isolated operation, the objective function is to minimize the energy storage cost and the microgrid system operation cost. The objective function and the stability joint constraints of the microgrid and the stability joint constraints of the energy storage device constitute the lower model of energy storage optimization configuration. According to the historical operation data of each period in different scenarios when the microgrid is in non-isolated operation, the lower model of energy storage optimization configuration is iteratively solved to obtain the energy storage configuration plan when the microgrid is in non-isolated operation.

[0009] When the microgrid is operating in an isolated network, the optimal economic index of the energy storage configuration scheme under the non-isolated operation of the microgrid is taken as the objective function. The objective function and the backup constraints of the energy storage device constitute the upper-level model of energy storage optimization configuration; according to the historical operation data of each period under different scenarios when the microgrid is operating in an isolated network, the upper-level model of energy storage optimization configuration is iteratively solved to obtain the energy storage optimization configuration scheme of the microgrid.

[0010] Preferably, the objective function is to minimize the average daily cost of energy storage and the average daily cost of microgrid system operation. , satisfying the following relationship:

[0011] ,

[0012] In the formula, The average daily cost of energy storage, including the average daily cost of energy storage construction and the average daily cost of energy storage operation and maintenance , is the average daily operating cost of the microgrid system, For the scene The probability of For the scene The daily operating cost of the microgrid system is For scene collection;

[0013] The average daily cost of microgrid system operation is the probability weighted daily cost of microgrid operation in each scenario.

[0014] Preferably, the average daily cost of energy storage construction and the average daily cost of energy storage operation and maintenance satisfy the following relationship:

[0015] ,

[0016] In the formula, The total cost of building energy storage, is the residual value rate of energy storage cost, is the discount rate, is the total life of the energy storage project, is the operation and maintenance cost coefficient, It is the year number within the energy storage project cycle. is the unit energy storage capacity cost, is the rated capacity of the energy storage device, is the unit energy storage power cost, is the rated power of the energy storage device.

[0017] Preferably, the scene The daily operating cost of the microgrid system satisfies the following relationship:

[0018] ,

[0019] In the formula, For the period The price at which the microgrid buys electricity from the external grid or sells electricity to the external grid. For the scene The microgrid and the external grid are in the period The interconnection power is positive when the external grid supplies power to the microgrid, and negative when the external grid supplies power to the microgrid. is the load loss penalty coefficient, For the scene In the period The load loss power, is the penalty coefficient for abandonment of renewable energy, For the scene In the period of new energy abandoned power, is the time period length, A collection of time periods.

[0020] Preferably, the stability joint constraint conditions of the microgrid include: tie line constraint, new energy output constraint, load balance constraint, new energy consumption rate constraint, and power supply reliability constraint;

[0021] ① Tie line constraints, satisfying the following relationship:

[0022] ,

[0023] In the formula, is the rated transmission capacity of the tie line, For the scene The microgrid and the external grid are in the period The interconnection power is positive when the external grid supplies power to the microgrid, and negative when the external grid supplies power to the microgrid.

[0024] ② New energy output constraints satisfy the following relationship:

[0025] ,

[0026] In the formula, For the scene In the period of renewable energy grid power, For the scene In the period of new energy abandoned power, For the scene In the period of renewable energy power generation capacity;

[0027] ③ Load balance constraint, satisfying the following relationship:

[0028] ,

[0029] In the formula, For the scene In the period The energy storage discharge power, For the scene In the period The system load, For the scene In the period The energy storage charging power, For the scene In the period The load loss power;

[0030] ④ Constraints on the consumption rate of new energy sources satisfy the following relationship:

[0031] ,

[0032] In the formula, It is the lower limit of new energy consumption rate;

[0033] ⑤Power supply reliability constraints, satisfying the following relationship:

[0034] ,

[0035] In the formula, It is the lower limit of power supply reliability.

[0036] Preferably, the stable joint constraint conditions of the energy storage device include: energy storage duration constraint, energy storage daily charge and discharge cycle constraint, energy storage charge and discharge power constraint, energy storage power balance constraint, and energy storage standby constraint;

[0037] ① Energy storage duration constraint, satisfying the following relationship:

[0038] ,

[0039] In the formula, is the rated capacity of the energy storage device, is the rated power of the energy storage device, is the minimum charging and discharging time of the energy storage device;

[0040] ② The number of daily charge and discharge cycles of energy storage must satisfy the following relationship:

[0041] ,

[0042] In the formula, For charging efficiency, is the discharge efficiency, The maximum number of daily charge and discharge cycles, For the scene In the period The energy storage charging power, For the scene In the period The energy storage discharge power, is the time period length, is a collection of time periods;

[0043] ③ Energy storage charging and discharging power constraints satisfy the following relationship:

[0044] ,

[0045] In the formula, For the scene In the period The energy storage discharge state quantity is 1 when the energy storage device is discharging, and 0 when the energy storage device is not discharging. For the scene In the period The energy storage charge is 1 when the energy storage device is charging and 0 when the energy storage device is not charging. is the rated power of the energy storage device;

[0046] ④ Energy storage power balance constraint, satisfying the following relationship:

[0047] ,

[0048] In the formula, For the scene In the period The amount of electricity stored in the energy storage device.

[0049] Preferably, at time The microgrid enters isolated grid operation. The generator set connected to the isolated microgrid has been started. The length of time required for the generator set to complete the start-up, at time The microgrid ends its isolated operation. It is the length of the period when the microgrid operates in isolated grid.

[0050] Preferably, the backup constraint condition of the energy storage device satisfies the following relationship:

[0051] ,

[0052] ,

[0053] In the formula, is the rated power of the energy storage device, For the scene In the period of renewable energy power generation, For the scene In the period The system load, For the scene In the period The load loss power, For the scene In the period The net load demand, For the scene In the period The amount of electricity stored in the energy storage device, For the scene In the period The power generation power of the generator set is, in the embodiment, the rated power of the diesel generator or the micro gas turbine is taken. For the scene The time period number, is the length of the period when the microgrid operates in an isolated grid, The length of time required for the generator set to complete the start-up. The length of the period.

[0054] Preferably, the economic indicators of the energy storage configuration solution include: energy storage cost per kilowatt-hour, internal rate of return and net present value.

[0055] The present invention also proposes a microgrid energy storage optimization configuration system based on uncertainty and instantaneity, comprising:

[0056] The acquisition module is used to obtain the historical operation data of each period in different scenarios when the microgrid is operating in an isolated network and the historical operation data of each period in different scenarios when the microgrid is operating in a non-isolated network;

[0057] The energy storage optimization configuration module is used to minimize the energy storage cost and the microgrid system operation cost as the objective function when the microgrid is operating in a non-isolated network. The objective function and the joint stability constraints of the microgrid and the energy storage device constitute the lower model of the energy storage optimization configuration; according to the historical operation data of each time period in different scenarios when the microgrid is operating in a non-isolated network, the lower model of the energy storage optimization configuration is iteratively solved to obtain the energy storage configuration plan under the non-isolated network operation of the microgrid; when the microgrid is operating in an isolated network, the economic index of the energy storage configuration plan under the non-isolated network operation of the microgrid is optimized as the objective function, and the objective function and the backup constraints of the energy storage device constitute the upper model of the energy storage optimization configuration; according to the historical operation data of each time period in different scenarios when the microgrid is operating in an isolated network, the upper model of the energy storage optimization configuration is iteratively solved to obtain the energy storage optimization configuration plan of the microgrid.

[0058] The present invention is also a terminal, comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method.

[0059] The present invention is also a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method when executed by a processor.

[0060] The beneficial effects of the present invention are that, compared with the prior art, the present invention at least includes that it fully considers the uncertainty factors such as the fluctuation of renewable energy power generation and the fluctuation of system load, minimizes the energy storage configuration cost and the system operation cost under the condition that the energy storage configuration satisfies the stable operation of the microgrid without being isolated, and also considers the instantaneous characteristics of the power supply in the microgrid, ensures the economy of the energy storage configuration under the premise of ensuring that the energy storage configuration satisfies the isolated operation of the microgrid, thereby comprehensively improving the safety, stability and economy of the microgrid operation and energy storage configuration. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a flow chart of a microgrid energy storage optimization configuration method based on uncertainty and instantaneity proposed by the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only embodiments of a part of the present invention, rather than all embodiments. Based on the spirit of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the protection scope of the present invention.

[0063] The present invention proposes a microgrid energy storage optimization configuration method considering the uncertainty and transient characteristics of power resources, such as Figure 1 As shown, including:

[0064] Step 1: Obtain historical operation data of each time period in different scenarios when the microgrid is operating in an isolated network and historical operation data of each time period in different scenarios when the microgrid is operating in a non-isolated network.

[0065] Historical operating data includes but is not limited to: new energy power generation and system load.

[0066] In an embodiment, the renewable energy power generation power, system load and scenario probability of each time period (the time period length may be 15 minutes or 1 hour, etc., and 1 hour is taken as an example for explanation here) under different scenarios can be obtained based on the summary of historical operation data; for example, taking each day in a year as a scene, a total of 365 scenes, each scene probability is 1 / 365, and the renewable energy power generation power and system load of each time period in each scene are the corresponding historical operation data.

[0067] Step 2: When the microgrid is not operating in an isolated network, the objective function is to minimize the energy storage cost and the operating cost of the microgrid system. The objective function and the joint stability constraints of the microgrid and the energy storage device constitute the lower model of the energy storage optimization configuration. According to the historical operating data of each time period under different scenarios when the microgrid is not operating in an isolated network, the lower model of the energy storage optimization configuration is iteratively solved to obtain the energy storage configuration plan under the non-isolated network operation of the microgrid.

[0068] Specifically, the objective function is to minimize the average daily cost of energy storage and the average daily cost of microgrid system operation. , satisfying the following relationship:

[0069] ,

[0070] In the formula, The average daily cost of energy storage, including the average daily cost of energy storage construction and the average daily cost of energy storage operation and maintenance , is the average daily operating cost of the microgrid system, For the scene The probability of For the scene The daily operating cost of the microgrid system is For scene collection;

[0071] The average daily cost of microgrid system operation is the probability weighted daily cost of microgrid operation in each scenario;

[0072] in,

[0073] ,

[0074] In the formula, The total cost of building energy storage, is the residual value rate of energy storage cost, is the discount rate, is the total life of the energy storage project, is the operation and maintenance cost coefficient, It is the year number within the energy storage project cycle. is the unit energy storage capacity cost, is the rated capacity of the energy storage device, is the unit energy storage power cost, is the rated power of the energy storage device;

[0075] ,

[0076] In the formula, For the period The price at which the microgrid buys electricity from the external grid or sells electricity to the external grid. For the scene The microgrid and the external grid are in the period The interconnection power is positive when the external grid supplies power to the microgrid, and negative when the external grid supplies power to the microgrid. is the load loss penalty coefficient, For the scene In the period The load loss power, is the penalty coefficient for abandonment of renewable energy, For the scene In the period of new energy abandoned power, is the time period length, A collection of time periods.

[0077] The joint stability constraints of the microgrid include: interconnection line constraints, new energy output constraints, load balance constraints, new energy consumption rate constraints, power supply reliability constraints, etc., to ensure the normal and stable operation of the microgrid.

[0078] ① Tie line constraints, ensuring that the tie line power does not exceed the limit and satisfies the following relationship:

[0079] ,

[0080] In the formula, is the rated transmission capacity of the tie line, For the scene The microgrid and the external grid are in the period The interconnection power is positive when the external grid supplies power to the microgrid, and negative when the external grid supplies power to the microgrid.

[0081] ② New energy output constraints satisfy the following relationship:

[0082] ,

[0083] In the formula, For the scene In the period of renewable energy grid power, For the scene In the period of new energy abandoned power, For the scene In the period of renewable energy power generation capacity;

[0084] ③ Load balance constraint, satisfying the following relationship:

[0085] ,

[0086] In the formula, For the scene In the period The energy storage discharge power, For the scene In the period The system load, For the scene In the period Energy storage charging power, For the scene In the period The load loss power;

[0087] ④ Constraints on the consumption rate of new energy. The proportion of new energy grid-connected electricity shall not be lower than a certain level, satisfying the following relationship:

[0088] ,

[0089] In the formula, It is the lower limit of new energy consumption rate;

[0090] ⑤ Power supply reliability constraints: the load shedding ratio shall not exceed a certain level and satisfy the following relationship:

[0091] ,

[0092] In the formula, It is the lower limit of power supply reliability.

[0093] The stable joint constraints of the energy storage device include: energy storage duration constraints, energy storage daily charge and discharge cycle constraints, energy storage charge and discharge power constraints, energy storage power balance constraints, energy storage standby constraints, etc., to ensure the normal and stable operation of the energy storage device and support the isolated operation of the microgrid.

[0094] ① Energy storage duration constraint, satisfying the following relationship:

[0095] ,

[0096] In the formula, is the rated capacity of the energy storage device, is the rated power of the energy storage device, is the minimum charging and discharging time of the energy storage device;

[0097] In the embodiment, the minimum charging and discharging time of energy storage is 2h or 4h;

[0098] ② The number of daily charge and discharge cycles of energy storage must satisfy the following relationship:

[0099] ,

[0100] In the formula, For charging efficiency, is the discharge efficiency, The maximum number of daily charge and discharge cycles, For the scene In the period Energy storage charging power, For the scene In the period The energy storage discharge power, is the time period length;

[0101] In the embodiment, the number of charge and discharge cycles of the energy storage does not exceed 2 times per day;

[0102] ③ Energy storage charging and discharging power constraints. The actual charging and discharging power of energy storage shall not exceed the rated power, and it cannot be charged and discharged at the same time, satisfying the following relationship:

[0103] ,

[0104] In the formula, For the scene In the period The energy storage discharge state quantity is 1 when the energy storage device is discharging, and 0 when the energy storage device is not discharging. For the scene In the period The energy storage charge is 1 when the energy storage device is charging and 0 when the energy storage device is not charging;

[0105] ④ Energy storage power balance constraint, satisfying the following relationship:

[0106] ,

[0107] In the formula, For the scene In the period The amount of electricity stored in the energy storage device;

[0108] In the embodiment, hour is the initial energy storage capacity.

[0109] Compared with traditional methods, the present invention takes into account uncertain factors such as the volatility of renewable energy power generation and system load volatility. Instead of configuring energy storage only according to static power installed capacity and maximum load, the method proposed in the present invention takes into account uncertain factors such as the volatility of renewable energy power generation and system load volatility. As a result, the energy storage configuration results are more adaptable to various uncertain scenarios.

[0110] Step 3: When the microgrid is operating in an isolated network, the optimal economic index of the energy storage configuration scheme under the non-isolated operation of the microgrid is taken as the objective function. The objective function and the backup constraint conditions of the energy storage device constitute the upper model of energy storage optimization configuration; according to the historical operation data of each period under different scenarios when the microgrid is operating in an isolated network, the upper model of energy storage optimization configuration is iteratively solved to obtain the energy storage optimization configuration scheme of the microgrid.

[0111] Specifically, detect whether the microgrid is operating in an isolated grid. The microgrid enters isolated grid operation. The generator set connected to the isolated microgrid has been started. The length of time required for the generator set to complete the start-up, at time The microgrid ends its isolated operation. The length of the period during which the microgrid operates in an isolated grid;

[0112] After the microgrid enters the isolated grid operation state, the rated power of the energy storage device meets the net load demand of the microgrid. At the same time, the amount of electricity stored in the energy storage device meets the net electricity demand of the microgrid for the set duration of continuous isolated grid operation. Therefore, the backup constraint condition of the energy storage device satisfies the following relationship:

[0113] ,

[0114] ,

[0115] In the formula, is the rated power of the energy storage device, For the scene In the period of renewable energy power generation, For the scene In the period The system load, For the scene In the period The load loss power, For the scene In the period The net load demand, For the scene In the period The amount of electricity stored in the energy storage device, For the scene In the period The power generation power of the generator set is, in the embodiment, the rated power of the diesel generator or the micro gas turbine is taken. For the scene The time period number, is the length of the period when the microgrid operates in an isolated grid, The length of time required for the generator set to complete the start-up.

[0116] Microgrids are generally equipped with diesel generators or micro gas turbines, but this type of power supply requires a certain amount of startup time and cannot be started instantly. Therefore, in the early stage of isolated grid operation, energy storage devices and new energy generation are needed to support the grid load. After the diesel generator or micro gas turbine is started, the grid load is supported by energy storage devices, new energy generation, diesel generators or micro gas turbines. The relevant constraints on non-instantaneous starting power sources such as diesel generators or micro gas turbines mainly consider the instantaneous characteristics of the power supply, which can ensure that the backup power and power of the energy storage device are sufficient to cope with the situation where the diesel generator or micro gas turbine has not been started in the early stage of isolated grid operation, and can also ensure that no additional storage power is charged to avoid waste and make full use of the power generation capacity of the diesel generator or micro gas turbine after starting.

[0117] The economic indicators of energy storage configuration solutions include: Levelized Cost of Storage (LCOS), internal rate of return (IRR) and net present value (NPV).

[0118] The obtained energy storage optimization configuration plan includes: rated power of energy storage and rated capacity of energy storage.

[0119] The present invention takes into account the power generation capacity of the non-instantaneous power supply, so that the power capacity configuration of the energy storage with instantaneous capacity and its backup charging and storage capacity can simultaneously meet the scenarios of the non-instantaneous power supply not yet started in the early stage of the isolated network operation and the power supply + energy storage joint support in the middle and late stages of the isolated network operation, making the energy storage configuration cost and the system operation cost smaller, which is conducive to the safe, stable and economical operation of the microgrid.

[0120] The present invention also proposes a microgrid energy storage optimization configuration system based on uncertainty and instantaneity, comprising:

[0121] The acquisition module is used to obtain the historical operation data of each period in different scenarios when the microgrid is operating in an isolated network and the historical operation data of each period in different scenarios when the microgrid is operating in a non-isolated network;

[0122] The energy storage optimization configuration module is used to minimize the energy storage cost and the microgrid system operation cost as the objective function when the microgrid is operating in a non-isolated network. The objective function and the joint stability constraints of the microgrid and the energy storage device constitute the lower model of the energy storage optimization configuration; according to the historical operation data of each time period in different scenarios when the microgrid is operating in a non-isolated network, the lower model of the energy storage optimization configuration is iteratively solved to obtain the energy storage configuration plan under the non-isolated network operation of the microgrid; when the microgrid is operating in an isolated network, the economic index of the energy storage configuration plan under the non-isolated network operation of the microgrid is optimized as the objective function, and the objective function and the backup constraints of the energy storage device constitute the upper model of the energy storage optimization configuration; according to the historical operation data of each time period in different scenarios when the microgrid is operating in an isolated network, the upper model of the energy storage optimization configuration is iteratively solved to obtain the energy storage optimization configuration plan of the microgrid.

[0123] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0124] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the above. The computer-readable storage medium used herein is not to be interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0125] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0126] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect through the Internet). In some embodiments, by using the state information of the computer-readable program instructions to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit may execute the computer-readable program instructions, thereby implementing various aspects of the present disclosure.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A microgrid energy storage optimization configuration method based on uncertainty and instantaneity, characterized in that: include: Obtain the historical operation data of each time period in different scenarios when the microgrid is operating in an isolated network and the historical operation data of each time period in different scenarios when the microgrid is operating in a non-isolated network; When the microgrid is not isolated, the objective function is to minimize the average daily cost of energy storage and the average daily cost of microgrid system operation. , satisfying the following relationship: In the formula, The average daily cost of energy storage, including the average daily cost of energy storage construction and the average daily cost of energy storage operation and maintenance , is the average daily operating cost of the microgrid system, For the scene The probability of For scene collection, For the scene The daily operating cost of the microgrid system satisfies the following relationship: In the formula, For the period The price at which the microgrid buys electricity from the external grid or sells electricity to the external grid. For the scene The microgrid and the external grid are in the period The interconnection power is positive when the external grid supplies power to the microgrid, and negative when the external grid supplies power to the microgrid. is the load loss penalty coefficient, For the scene In the period The load loss power, is the penalty coefficient for abandonment of renewable energy, For the scene In the period of new energy abandoned power, is the time period length, is a collection of time periods; The objective function and the stability joint constraints of the microgrid and the stability joint constraints of the energy storage device constitute the lower model of energy storage optimization configuration; according to the historical operation data of each period in different scenarios of the microgrid non-isolated operation, the lower model of energy storage optimization configuration is iteratively solved to obtain the energy storage configuration plan under the non-isolated operation of the microgrid; When the microgrid is operating in an isolated network, the optimal economic index of the energy storage configuration scheme under the non-isolated operation of the microgrid is taken as the objective function. The objective function and the backup constraints of the energy storage device constitute the upper-level model of energy storage optimization configuration; according to the historical operation data of each period under different scenarios when the microgrid is operating in an isolated network, the upper-level model of energy storage optimization configuration is iteratively solved to obtain the energy storage optimization configuration scheme of the microgrid.

2. The microgrid energy storage optimization configuration method based on uncertainty and instantaneity according to claim 1 is characterized in that: The average daily cost of energy storage construction and the average daily cost of energy storage operation and maintenance satisfy the following relationship: In the formula, The total cost of building energy storage, is the residual value rate of energy storage cost, is the discount rate, is the total life of the energy storage project, is the operation and maintenance cost coefficient, It is the year number within the energy storage project cycle. is the unit energy storage capacity cost, is the rated capacity of the energy storage device, is the unit energy storage power cost, is the rated power of the energy storage device.

3. The microgrid energy storage optimization configuration method based on uncertainty and instantaneity according to claim 1 is characterized in that: The stability joint constraints of the microgrid include: tie line constraints, new energy output constraints, load balance constraints, new energy consumption rate constraints, and power supply reliability constraints; ① Tie line constraints, satisfying the following relationship: In the formula, is the rated transmission capacity of the tie line, For the scene The microgrid and the external grid are in the period The interconnection power is positive when the external grid supplies power to the microgrid, and negative when the external grid supplies power to the microgrid. ② New energy output constraints satisfy the following relationship: In the formula, For the scene In the period of renewable energy grid power, For the scene In the period of new energy abandoned power, For the scene In the period of renewable energy power generation capacity; ③ Load balance constraint, satisfying the following relationship: In the formula, For the scene In the period The energy storage discharge power, For the scene In the period The system load, For the scene In the period The energy storage charging power, For the scene In the period The load loss power; ④ Constraints on the consumption rate of new energy sources satisfy the following relationship: In the formula, It is the lower limit of new energy consumption rate; ⑤Power supply reliability constraints, satisfying the following relationship: In the formula, It is the lower limit of power supply reliability.

4. The microgrid energy storage optimization configuration method based on uncertainty and instantaneity according to claim 1 is characterized in that: Stable joint constraints of energy storage devices, including: energy storage duration constraints, energy storage daily charge and discharge cycle constraints, energy storage charge and discharge power constraints, energy storage power balance constraints, and energy storage standby constraints; ① Energy storage duration constraint, satisfying the following relationship: In the formula, is the rated capacity of the energy storage device, is the rated power of the energy storage device, is the minimum charging and discharging time of the energy storage device; ② The number of daily charge and discharge cycles of energy storage must satisfy the following relationship: In the formula, For charging efficiency, is the discharge efficiency, is the maximum number of daily charge and discharge cycles, For the scene In the period The energy storage charging power, For the scene In the period The energy storage discharge power, is the time period length, is a collection of time periods; ③ Energy storage charging and discharging power constraints satisfy the following relationship: In the formula, For the scene In the period The energy storage discharge state quantity is 1 when the energy storage device is discharging, and 0 when the energy storage device is not discharging. For the scene In the period The energy storage charge is 1 when the energy storage device is charging and 0 when the energy storage device is not charging. is the rated power of the energy storage device; ④ Energy storage power balance constraint, satisfying the following relationship: In the formula, For the scene In the period The amount of electricity stored in the energy storage device.

5. The microgrid energy storage optimization configuration method based on uncertainty and instantaneity according to claim 1 is characterized in that: At the moment The microgrid enters isolated grid operation. The generator set connected to the isolated microgrid has been started. The length of time required for the generator set to complete the start-up, at time The microgrid ends its isolated operation. It is the length of the period when the microgrid operates in isolated grid.

6. The microgrid energy storage optimization configuration method based on uncertainty and instantaneity according to claim 5 is characterized in that: The backup constraint condition of the energy storage device satisfies the following relationship: In the formula, is the rated power of the energy storage device, For the scene In the period of renewable energy power generation, For the scene In the period The system load, For the scene In the period The load loss power, For the scene In the period The net load demand, For the scene In the period The amount of electricity stored in the energy storage device, For the scene In the period The power generation capacity of the generator set, For the scene The time period number, is the length of the period when the microgrid operates in an isolated grid, The length of time required for the generator set to complete the start-up. The length of the period.

7. The microgrid energy storage optimization configuration method based on uncertainty and instantaneity according to claim 1 is characterized in that: The economic indicators of energy storage configuration solutions include: energy storage cost per kilowatt-hour, internal rate of return and net present value.

8. A microgrid energy storage optimization configuration system based on uncertainty and instantaneity, characterized in that: include: The acquisition module is used to obtain the historical operation data of each period in different scenarios when the microgrid is operating in an isolated network and the historical operation data of each period in different scenarios when the microgrid is operating in a non-isolated network; Energy storage optimization configuration module, used when the microgrid is not isolated, takes the minimization of the average daily cost of energy storage and the average daily cost of microgrid system operation as the objective function , satisfying the following relationship: In the formula, The average daily cost of energy storage, including the average daily cost of energy storage construction and the average daily cost of energy storage operation and maintenance , is the average daily operating cost of the microgrid system, For the scene The probability of For scene collection, For the scene The daily operating cost of the microgrid system satisfies the following relationship: In the formula, For the period The price at which the microgrid buys electricity from the external grid or sells electricity to the external grid. For the scene The microgrid and the external grid are in the period The interconnection power is positive when the external grid supplies power to the microgrid, and negative when the external grid supplies power to the microgrid. is the load loss penalty coefficient, For the scene In the period The load loss power, is the penalty coefficient for abandonment of renewable energy, For the scene In the period of new energy abandoned power, is the time period length, is a set of time periods; the objective function and the stable joint constraints of the microgrid and the stable joint constraints of the energy storage device constitute the lower model of energy storage optimization configuration; according to the historical operation data of each time period in different scenarios when the microgrid is not in an isolated grid, the lower model of energy storage optimization configuration is iteratively solved to obtain the energy storage configuration scheme under the non-isolated grid operation of the microgrid; When the microgrid is operating in an isolated network, the optimal economic index of the energy storage configuration scheme under the non-isolated operation of the microgrid is taken as the objective function. The objective function and the backup constraints of the energy storage device constitute the upper-level model of energy storage optimization configuration; according to the historical operation data of each period under different scenarios when the microgrid is operating in an isolated network, the upper-level model of energy storage optimization configuration is iteratively solved to obtain the energy storage optimization configuration scheme of the microgrid.

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