A high-proportion new energy power system distributed energy storage scheduling method and system

Abstract

A high-proportion new energy power system distributed energy storage scheduling method and system, comprising: aggregating distributed energy storage in a power grid partition to obtain a plurality of energy storage subjects; in each calculation period, calculating a primary planned response contribution integral of each energy storage subject according to the actual response capacity and the planned response capacity of each energy storage subject and the total planned regulation capacity of the power grid; calculating a primary emergency response contribution integral of each energy storage subject according to the actual response capacity and the planned response capacity of each energy storage subject in the emergency response and the total emergency regulation capacity of the power grid; determining the charging price and the discharging price of each energy storage subject in the current calculation period by using the primary planned response contribution integral and the primary emergency response contribution integral of each energy storage subject in each calculation period; and scheduling each distributed energy storage in each energy storage subject based on the determined charging price and discharging price, thereby improving the enthusiasm of user-side distributed energy storage in participating in power grid interaction.

Description

Technical Field

[0001] This invention belongs to the field of new energy dispatching technology, specifically, it relates to a method and system for dispatching distributed energy storage in a high-proportion new energy power system. Background Technology

[0002] With the rapid increase in the proportion of renewable energy generation, the power system is facing complex operational challenges characterized by high volatility, low inertia, and diverse heterogeneous sources. To maintain system power balance and frequency stability, it is urgent to introduce flexible regulation resources. Distributed energy storage (such as electrochemical energy storage, electric vehicles, and user-side energy storage) can effectively support grid power regulation due to its rapid response capabilities and flexible deployment characteristics.

[0003] Existing technologies include: active distribution network energy dispatch optimization methods considering distributed energy storage, which analyze the integration of distributed energy storage into the distribution network and design an active distribution network energy dispatch model; microgrid group economic dispatch methods considering distributed energy storage, which take an AC microgrid consisting of three sub-microgrids (wind, solar, and energy storage) and grid-side energy storage as the dispatch object to obtain an economic dispatch scheme for microgrid groups considering distributed energy storage; and distributed energy storage multi-scenario aggregation and management systems and methods, which analyze the compatibility of each energy storage device with the target energy storage power station and output alarm information of the target energy storage power station to achieve operation and maintenance management of the target energy storage power station; and management methods, devices, equipment, and storage media for distributed energy storage systems, which improve the energy utilization efficiency of distributed energy storage systems under different operating conditions by adjusting the charging and discharging parameters of distributed energy storage through distributed energy storage modules and energy management modules. However, existing technologies only consider the perspective of user-side energy storage and do not fully consider the impact of grid-side pricing incentives on the participation of distributed energy storage in grid power regulation. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention proposes a method and system for dispatching distributed energy storage in high-proportion new energy power systems. Based on a constructed user-side distributed energy storage planning and configuration model, it dynamically and collaboratively aggregates distributed energy storage systems with different control functions. Finally, it proposes an incentive-based dispatching method based on contribution integrals. Energy storage entities, prioritizing their own usage interests, respond to the grid-side power regulation plan as needed, obtaining contribution integrals and corresponding price incentives under the benchmark charging and discharging price. This invention effectively enhances the enthusiasm of user-side distributed energy storage to participate in grid interaction.

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

[0006] This invention proposes a distributed energy storage dispatch method for high-proportion renewable energy power systems, comprising:

[0007] Distributed energy storage within a power grid zone is aggregated to obtain multiple energy storage entities;

[0008] Within each calculation period, the primary planned response contribution integral of each energy storage entity is calculated based on its actual and planned response capacity and the total planned regulation capacity of the power grid; the primary emergency response contribution integral of each energy storage entity is calculated based on its actual and planned response capacity and the total emergency regulation capacity of the power grid.

[0009] By utilizing the integral of each energy storage entity's contribution to a planned response and the integral of its contribution to an emergency response within each calculation cycle, the charging price and discharging price of each energy storage entity in the current calculation cycle are determined.

[0010] Based on the determined charging and discharging prices, the distributed energy storage within each energy storage entity is scheduled.

[0011] Based on the unit power usage cost and unit power regulation response time of each distributed energy storage within the energy storage entity, and based on the determined charging and discharging prices, the distributed energy storage within each energy storage entity is hierarchically scheduled.

[0012] When implementing a hierarchical scheduling strategy for each energy storage entity, the system obtains the on-site temperature and ambient temperature of each distributed energy storage unit; and sets the control priority of each distributed energy storage unit according to the order of on-site temperature and ambient temperature from low to high.

[0013] Aggregating distributed energy storage within a power grid zone yields multiple energy storage entities, including:

[0014] A single aggregate entity is defined as a complete administrative division within the geographical region of the power grid zone, and multiple incomplete administrative divisions are defined as a single aggregate entity.

[0015] Within a single aggregate entity, the regulation potential parameters of distributed energy storage are clustered, and each cluster serves as a single energy storage entity.

[0016] The parameters for regulation potential include: energy storage capacity, cost per unit power, and regulation response time per unit power.

[0017] The ratio of the actual response capacity to the planned response capacity of the energy storage entity is used as the single planned response completion rate of the energy storage entity; the single planned response completion rate, actual response capacity, and average planned regulation capacity of the power grid are used to calculate the integral of the single planned response contribution of each energy storage entity.

[0018] When the planned response capacity of the energy storage entity is zero, the integral of the primary planned response contribution is zero.

[0019] When the planned response capacity of the energy storage entity is greater than zero, the integral of the primary planned response contribution is calculated as follows:

[0020]

[0021]

[0022] In the formula, As the main body of energy storage The contribution score of a single planned response. As the main body of energy storage The single-plan response completion rate, taking values ​​(0,1]. For a certain power grid planned regulation total capacity, As the main body of energy storage The actual response capacity is the energy storage main body. Actual response power Response time corresponding to planned response with planned response power The product of As the main body of energy storage The planned response capacity is the main body of energy storage. Planned response power Response time corresponding to actual response with planned response power The product of, where, , , This refers to the number of energy storage entities.

[0023] The ratio of the actual response capacity to the planned response capacity of the energy storage entity in an emergency response is used as the single emergency response completion rate of the energy storage entity; the single emergency response completion rate of the energy storage entity, the actual response capacity in the emergency response, and the average emergency regulation capacity of the power grid are used to calculate the single emergency response contribution integral of each energy storage entity.

[0024] When the planned response capacity of the energy storage entity is zero in an emergency response, the contribution integral of a single emergency response is zero.

[0025] When the planned response capacity of the energy storage entity is greater than zero in an emergency response, the integral of the contribution of a single emergency response is calculated as follows:

[0026]

[0027]

[0028] In the formula, As the main body of energy storage The contribution score for a single emergency response. As the main body of energy storage The completion rate of a single emergency response. For a certain emergency power grid regulation total capacity, As the main body of energy storage The actual response capacity in an emergency response is the energy storage main body. Actual response power in emergency response The response time corresponding to a planned response using the planned response power in an emergency response. The product; As the main body of energy storage The planned response capacity in an emergency response is the main body of energy storage. Planned response power in emergency response The response time corresponding to the actual response using the planned response power in an emergency response. The product of, where, , , This refers to the number of energy storage entities.

[0029] Monthly charging and discharging prices for energy storage devices:

[0030]

[0031]

[0032] In the formula, , They are energy storage entities The charging and discharging prices for the current month, , They are energy storage entities The benchmark charging and discharging prices, For price adjustment parameters, As the main body of energy storage In the The integral of the single-cycle planned response contribution over each calculation period. As the main body of energy storage In the The contribution integral of a single emergency response over a calculation cycle.

[0033] Within a cluster, distributed energy storage is divided as follows, with the unit power usage cost of the distributed energy storage corresponding to the cluster center as the first boundary and the unit power regulation response time as the second boundary:

[0034] 1) Distributed energy storage with a unit power cost greater than the first boundary and a unit power regulation response time greater than the second boundary is classified as an economic dispatch layer. The power control time of the economic dispatch layer is on the order of minutes. Distributed energy storage in the economic dispatch layer optimizes charging and discharging control according to the determined charging and discharging prices of the current calculation cycle and participates in the energy market.

[0035] 2) Distributed energy storage with a unit power cost not exceeding the first boundary and a unit power regulation response time not exceeding the second boundary is classified as a fast response layer. The power control time of the fast response layer is in the millisecond range. Distributed energy storage in the fast response layer responds to the high-frequency regulation demand of the power grid according to the determined charging price and discharging price of the current calculation cycle.

[0036] The distributed energy storage with the lowest internal temperature and ambient temperature has the highest control priority, while the distributed energy storage with the highest internal temperature and ambient temperature has the lowest control priority.

[0037] This invention also proposes a distributed energy storage dispatch system for high-proportion renewable energy power systems, comprising:

[0038] The energy storage aggregation module is used to aggregate distributed energy storage within a power grid zone to obtain multiple energy storage entities;

[0039] The pricing module is used to calculate the primary planned response contribution integral of each energy storage entity within each calculation cycle, based on the actual and planned response capacity of each energy storage entity and the total planned regulation capacity of the power grid; to calculate the primary emergency response contribution integral of each energy storage entity based on the actual and planned response capacity of each energy storage entity in emergency response and the total emergency regulation capacity of the power grid; and to determine the charging price and discharging price of each energy storage entity in the current calculation cycle using the primary planned response contribution integral and primary emergency response contribution integral of each energy storage entity within each calculation cycle.

[0040] The scheduling module is used to schedule the distributed energy storage within each energy storage entity based on the determined charging and discharging prices.

[0041] The present invention is also a terminal, including a processor and a storage medium; the storage medium is used to store instructions; the processor is used to perform operations according to the instructions to execute the steps of the method.

[0042] The present invention is also a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method.

[0043] The beneficial effects of this invention are that, compared with the prior art, it at least includes,

[0044] This invention provides a method for dispatching distributed energy storage in a high-proportion renewable energy power system. It improves the energy storage aggregation method to obtain multiple energy storage entities, achieving dynamic collaborative aggregation of distributed energy storage with different control functions. Based on the aggregated energy storage entities, it fully considers the impact of grid-side pricing incentives on the participation of distributed energy storage in grid power regulation, and proposes an incentive dispatching method based on contribution integrals to determine the energy storage charging and discharging price that both respects and protects user-side energy storage entities and enhances the enthusiasm of user-side energy storage to participate in grid power regulation. Using the determined charging and discharging price as the coordination condition for each distributed energy storage entity, and fully considering factors such as the performance characteristics and lifetime characteristics of each distributed energy storage entity, it proposes a hierarchical and priority-based dispatching method for each distributed energy storage entity. Attached Figure Description

[0045] Figure 1 This is a flowchart of a distributed energy storage scheduling method for a high-proportion new energy power system proposed in this invention. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0047] This invention proposes a distributed energy storage dispatch method for high-proportion renewable energy power systems, such as... Figure 1 As shown, it includes:

[0048] Step 1: Aggregate distributed energy storage within the power grid partition to obtain multiple energy storage entities.

[0049] Since distributed energy storage is numerous and has a small capacity, its direct participation in the optimal scheduling of the power system would lead to problems such as high solution difficulty and an explosion of decision variables. Therefore, it is necessary to perform secondary aggregation on distributed energy storage with different control potentials.

[0050] Specifically, step 1 includes:

[0051] Step 1.1: Take a complete administrative division within the geographical region of the power grid partition as a single aggregation subject, and multiple incomplete administrative divisions as a single aggregation subject;

[0052] In power grid planning and design, to reduce short-circuit currents during grid faults, power grids are typically divided into zones based on prefecture-level cities. Under normal circumstances, each power grid zone operates independently. The geographical area of ​​a power grid zone is not entirely the same as the administrative divisions of districts and counties within a prefecture-level city; rather, it is based on load conditions, with 500kV substations and major power plants dividing the power grid into zones. This can result in the number of zones being greater or less than the number of districts and counties. To address this complex situation, the proposed partitioning aggregation approach in this invention is as follows:

[0053] 1) Within a certain prefecture-level city, if the geographical area of ​​a certain power grid zone includes several districts and counties, then the districts and counties that are completely included are regarded as separate aggregate entities, and the remaining area is regarded as an aggregate entity.

[0054] 2) Within a certain prefecture-level city, if the geographical area of ​​a certain power grid partition does not completely include any district or county, then the power grid partition is regarded as a partition aggregation result.

[0055] This invention uses spatial geographic location as a clustering index to achieve partitioned aggregation. When the power grid partition is larger than the administrative division, the administrative division is used as the dividing line for easier management. When the power grid partition is smaller than the administrative division, the actual characteristics of the power grid partition are fully considered, and the power supply points in the same power grid partition are the same, so cross-power grid partition operations are not involved.

[0056] Step 1.2: Cluster the regulation potential parameters of each distributed energy storage within a single aggregate entity, with each cluster serving as a single energy storage entity;

[0057] Among them, the regulation potential parameters of distributed energy storage include, but are not limited to: energy storage capacity, cost per unit power, and regulation response time per unit power;

[0058] This invention performs hierarchical aggregation of distributed energy storage with different control potentials within a single aggregate entity to obtain several distributed energy storage entities.

[0059] Step 2: Set the calculation cycle for the contribution integral of the energy storage entity;

[0060] In this embodiment, a month is defined as 30 days, and a month is defined as the calculation cycle for the energy storage entity's contribution integral. The energy storage entity's contribution integral calculation cycle set in this invention is a non-limiting but preferred choice, and those skilled in the art can adjust the energy storage entity's contribution integral calculation cycle according to scheduling needs.

[0061] Step 3: Within each calculation period, calculate the primary planned response contribution integral of each energy storage entity based on its actual and planned response capacity and the total planned regulation capacity of the power grid; calculate the primary emergency response contribution integral of each energy storage entity based on its actual and planned response capacity in emergency response and the total emergency regulation capacity of the power grid.

[0062] Specifically, step 3 includes:

[0063] Step 3.1: Use the ratio of the actual response capacity to the planned response capacity of the energy storage entity as the single planned response completion rate of the energy storage entity; use the single planned response completion rate of the energy storage entity, the actual response capacity, and the average planned regulation capacity of the power grid to calculate the integral of the single planned response contribution of each energy storage entity.

[0064] The response capacity of an energy storage system is the sum of the response capacities of all distributed energy storage units within the system.

[0065] Under normal operating conditions, based on load forecasting and unit start-up and shutdown plans, power regulation demand is issued to user-side energy storage entities during the day-ahead phase. Energy storage entities respond to the grid-side power regulation plan as needed, based on their own usage interests, and execute it within the day. Starting from the date of the first response plan, the monthly planned response contribution score of the energy storage entity is calculated. In the example, the maximum cumulative value for the month is 10.

[0066] The calculation method for the contribution integral of a single planned response is as follows:

[0067] 1) Energy storage main body When the planned response capacity is zero, the integral of the primary planned response contribution is zero.

[0068] 2) Energy storage main body When the planned response capacity is greater than zero, the integral of the planned response contribution is calculated as follows:

[0069]

[0070] In the above formula, the first half -0.5 indicates the energy storage unit The single-plan response completion score, with values ​​ranging from [value missing]. The meaning is that 1 point is awarded when a single planned response is fully completed, while a negative point is awarded when the completion rate of a single planned response is low because it affects the grid's planned control; the latter part represents the energy storage entity. The single-response completion contrast score represents its comparison with the average response level. The value is compared with 0 and the larger value is taken. To ensure that this item is non-negative and that a score is only awarded when the completion rate is high, the following setting is used: Indicates when the actual response capacity Greater than the average planned regulation capacity of the power grid At that time, the energy storage unit If the performance is better than the average, this item is set to the upper limit of 1; otherwise, it is less than 1.

[0071]

[0072] In the formula, As the main body of energy storage The contribution score of a single planned response. As the main body of energy storage The single-plan response completion rate, taking values ​​(0,1]. For a certain power grid planned regulation total capacity, As the main body of energy storage The actual response capacity is the energy storage main body. Actual response power Response time corresponding to planned response with planned response power The product of As the main body of energy storage The planned response capacity is the main body of energy storage. Planned response power Response time corresponding to actual response with planned response power The product of, where, , , The number of energy storage entities;

[0073] Step 3.2: The ratio of the actual response capacity to the planned response capacity of the energy storage entity in an emergency response is used as the single emergency response completion rate of the energy storage entity; the single emergency response completion rate of the energy storage entity, the actual response capacity in the emergency response, and the average emergency regulation capacity of the power grid are used to calculate the single emergency response contribution integral of each energy storage entity.

[0074] During accident maintenance, the power grid dispatching agency temporarily issues a temporary power adjustment request to the energy storage entity. Under the premise of meeting the planned response, the energy storage entity responds with its capacity according to its own operating status and executes it in real time. Starting from the date of the first response plan, the emergency response contribution of the energy storage entity is calculated cumulatively for the month, with a maximum monthly cumulative value of 10.

[0075] The calculation method for the contribution points of an emergency response is as follows:

[0076] 1) Energy storage main body When the planned response capacity is zero in an emergency response, the contribution score of an emergency response is zero.

[0077] 2) Energy storage main body When the planned response capacity is greater than zero during an emergency response, the integral of the contribution of a single emergency response is calculated as follows:

[0078]

[0079] In the above formula, Indicates the main body of energy storage The score for single emergency response completion, with values ​​ranging from [value missing]. This means that if a single plan is fully completed, 2 points are awarded; however, if the completion rate is low, no negative points are awarded because the power grid also responded to emergency control measures. The actual response capacity during the emergency response... Average capacity of emergency regulation of the power grid The ratio represents the energy storage entity. The contrast score for a single emergency response;

[0080]

[0081] In the formula, As the main body of energy storage The contribution score for a single emergency response. As the main body of energy storage The completion rate of a single emergency response. For a certain emergency power grid regulation total capacity, As the main body of energy storage The actual response capacity in an emergency response is the energy storage main body. Actual response power in emergency response The response time corresponding to a planned response using the planned response power in an emergency response. The product; As the main body of energy storage The planned response capacity in an emergency response is the main body of energy storage. Planned response power in emergency response The response time corresponding to the actual response using the planned response power in an emergency response. The product of, where, , ;

[0082] Step 4: Using the integral of the planned response contribution and the integral of the emergency response contribution of each energy storage entity in each calculation cycle, determine the charging price and discharging price of each energy storage entity in the current calculation cycle.

[0083] Dividing the time frame by the beginning of the month, based on past experience The monthly response contribution score of the energy storage entity will be used to dynamically adjust the charging and discharging price of that energy storage entity for the current month.

[0084]

[0085]

[0086] In the formula, , They are energy storage entities The charging and discharging prices for the current month, , They are energy storage entities The benchmark charging and discharging prices, For price adjustment parameters, As the main body of energy storage In the The integral of the single-cycle planned response contribution over each calculation period. As the main body of energy storage In the The contribution integral of a single emergency response per calculation cycle; The contribution of months closer to the current month is used to ensure that the contribution of the current month has a greater impact on the current month.

[0087] In the embodiments, The preferred value is 12, when When it is 1, then Take 1 to represent the month preceding the current month. When it is 2, then 1 and 2 represent the two months preceding the current month, and so on. If there is no corresponding historical value, it means that there was no contribution score for the historical month.

[0088] The charging and discharging prices of each energy storage entity in the current calculation period are the unified charging and discharging prices of all distributed energy storage within the energy storage entity.

[0089] Step 5: Based on the unit power usage cost and unit power adjustment response time of each distributed energy storage in the energy storage entity, and based on the determined charging price and discharging price, perform hierarchical scheduling of each distributed energy storage in each energy storage entity.

[0090] Combining the needs of routine grid regulation and emergency grid control, an incentive-based dispatching method based on contribution integrals is proposed. Energy storage entities, prioritizing their own interests, respond to the grid's power regulation plan as needed, earning contribution integrals and receiving corresponding price incentives under the benchmark charging and discharging price.

[0091] In this embodiment, it is assumed that there are N energy storage entities in the current power grid area, denoted as: , , ... ... The corresponding total energy storage capacity is expressed as , , ... ... Therefore, the controllable capacity range for scheduling energy storage entities increases.

[0092] Within a cluster, distributed energy storage is divided as follows, with the unit power usage cost of the distributed energy storage corresponding to the cluster center as the first boundary and the unit power regulation response time as the second boundary:

[0093] 1) Distributed energy storage with a unit power cost greater than the first boundary and a unit power regulation response time greater than the second boundary is classified as an economic dispatch layer. In the embodiment, the power control time of the economic dispatch layer is on the minute level. Distributed energy storage in the economic dispatch layer optimizes charging and discharging control according to the determined charging price and discharging price of the current calculation cycle and participates in the energy market.

[0094] 2) Distributed energy storage with a unit power usage cost not greater than the first boundary and a unit power regulation response time not greater than the second boundary is classified as a fast response layer. In the embodiment, the power control time of the fast response layer is in the millisecond range. The distributed energy storage in the fast response layer responds to the high-frequency regulation demand of the power grid according to the determined charging price and discharging price of the current calculation cycle.

[0095] Through the hierarchical scheduling within the energy storage entity, not only is the bandwidth for energy storage to respond to grid demand increased, but it also enables energy storage to participate in multiple markets simultaneously, such as the energy market and ancillary services market. This improves energy storage revenue from multiple perspectives and incentivizes energy storage to participate in scheduling.

[0096] Step 6: When implementing the hierarchical scheduling strategy for each energy storage entity, obtain the body temperature and ambient temperature of each distributed energy storage, and set the control priority of each distributed energy storage in order of body temperature and ambient temperature from low to high.

[0097] The distributed energy storage with the lowest internal temperature and ambient temperature has the highest control priority, while the distributed energy storage with the highest internal temperature and ambient temperature has the lowest control priority.

[0098] Furthermore, based on the aggregation method proposed in step 1 of this invention, the distributed energy storage units within the energy storage entity are geographically dispersed, so the impact of environmental differences on the distributed energy storage units within the same energy storage entity cannot be ignored. Therefore, this invention obtains the body temperature and ambient temperature of each distributed energy storage unit, and sets the control priority of each distributed energy storage unit according to the order of body temperature and ambient temperature from low to high, giving priority to the use of low-temperature distributed energy storage and reducing the charging and discharging power of distributed energy storage in high-temperature environments.

[0099] This invention also proposes a distributed energy storage dispatch system for high-proportion renewable energy power systems, comprising:

[0100] The energy storage aggregation module is used to aggregate distributed energy storage within a power grid zone to obtain multiple energy storage entities;

[0101] The pricing module is used to calculate the primary planned response contribution integral of each energy storage entity within each calculation cycle, based on the actual and planned response capacity of each energy storage entity and the total planned regulation capacity of the power grid; to calculate the primary emergency response contribution integral of each energy storage entity based on the actual and planned response capacity of each energy storage entity in emergency response and the total emergency regulation capacity of the power grid; and to determine the charging price and discharging price of each energy storage entity in the current calculation cycle using the primary planned response contribution integral and primary emergency response contribution integral of each energy storage entity within each calculation cycle.

[0102] The scheduling module is used to schedule the distributed energy storage within each energy storage entity based on the determined charging and discharging prices.

[0103] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0104] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0105] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0106] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status 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 the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via 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., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A high-proportion new energy power system distributed energy storage scheduling method, characterized in that, Comprise: Aggregating the distributed energy storage in the power grid partition to obtain a plurality of energy storage subjects; In each calculation period, according to the actual response capacity and the planned response capacity of each energy storage subject, and the total planned regulation capacity of the power grid, the one-time planned response contribution degree integral of each energy storage subject is calculated; When the planned response capacity of the energy storage subject is zero, the one-time planned response contribution degree integral is zero; When the planned response capacity of the energy storage subject is greater than zero, the one-time planned response contribution degree integral is calculated as follows: ， In the formula, is the single plan response contribution score of the energy storage main body , is the single plan response completion degree of the energy storage main body , is the total capacity of the grid plan adjustment of a certain time , are respectively the actual response capacity and the planned response capacity of the energy storage main body , is the number of energy storage main bodies; According to the actual response capacity and the planned response capacity of each energy storage subject in the emergency response, and the total emergency regulation capacity of the power grid, the one-time emergency response contribution degree integral of each energy storage subject is calculated; When the planned response capacity of the energy storage subject in the emergency response is zero, the one-time emergency response contribution degree integral is zero; When the planned response capacity of the energy storage subject in the emergency response is greater than zero, the one-time emergency response contribution degree integral is calculated as follows: ， In the formula, As the main body of energy storage The contribution score for a single emergency response. As the main body of energy storage The completion rate of a single emergency response. For a certain emergency power grid regulation total capacity, , They are energy storage entities The actual response capacity and planned response capacity in an emergency response; Using the one-time planned response contribution degree integral and the one-time emergency response contribution degree integral of each energy storage subject in each calculation period, the charging price and the discharging price of each energy storage subject in the current calculation period are determined; Based on the determined charging price and discharging price, each distributed energy storage in each energy storage subject is dispatched.

2. The distributed energy storage scheduling method for a high-proportion new energy power system according to claim 1, characterized in that, Also include: Based on the determined charging price and discharging price, each distributed energy storage in each energy storage subject is hierarchically dispatched according to the unit power use cost and the unit power regulation response time of each distributed energy storage in the energy storage subject; When each energy storage subject executes the hierarchical dispatching strategy, the body temperature and the environmental temperature of each distributed energy storage are obtained; The control priority of each distributed energy storage is set in the order from low to high according to the body temperature and the environmental temperature.

3. The distributed energy storage dispatching method for a high-proportion new energy power system according to claim 1, characterized in that: The distributed energy storage in the power grid partition is aggregated to obtain a plurality of energy storage subjects, comprising: Taking a complete administrative division in the geographical area of the power grid partition as a single aggregation subject, and taking a plurality of incomplete administrative divisions as a single aggregation subject; In a single aggregation subject, the regulation potential parameters of the distributed energy storage are clustered, and a cluster is taken as a single energy storage subject.

4. The distributed energy storage dispatching method for a high-proportion new energy power system according to claim 3, characterized in that: The regulation potential parameters include: energy storage capacity, unit power use cost, and unit power regulation response time.

5. The distributed energy storage dispatching method for a high-proportion new energy power system according to claim 1, characterized in that: The ratio of the actual response capacity to the planned response capacity of the energy storage subject is taken as the single-time planned response completion degree of the energy storage subject; The one-time planned response contribution degree integral of each energy storage subject is calculated by using the single-time planned response completion degree, the actual response capacity of the energy storage subject, and the average planned regulation capacity of the power grid; Energy storage main body The single plan response completion value of the energy storage main body The actual response capacity of the energy storage main body The actual response power of the energy storage main body The product of the response time corresponding to the planned response power of the energy storage main body The planned response capacity of the energy storage main body The planned response power of the energy storage main body The product of the response time corresponding to the actual response of the energy storage main body The planned response power, , , .

6. The distributed energy storage dispatching method for a high-proportion new energy power system according to claim 1, characterized in that: The ratio of the actual response capacity of the energy storage subject in the emergency response to the planned response capacity is taken as the single emergency response completion degree of the energy storage subject; the single emergency response contribution degree integral of each energy storage subject is calculated by using the single emergency response completion degree of the energy storage subject, the actual response capacity in the emergency response and the average capacity of the emergency regulation of the power grid; energy storage body actual response capacity in the emergency response is a product of the planned response capacity of the energy storage body actual response power in the emergency response of the energy storage body corresponding to the response time in the emergency response with the planned response power planned response capacity in the emergency response is a product of the actual response capacity of the energy storage body planned response power in the emergency response of the energy storage body corresponding to the response time in the emergency response with the planned response power planned response power in the emergency response of the energy storage body corresponding to the response time in the emergency response with the planned response power , .

7. The distributed energy storage scheduling method of the high-proportion new energy power system according to claim 1, characterized in that, The charging and discharging price of the energy storage subject in the month is: In the formula, , They are energy storage entities The charging and discharging prices for the current month, , They are energy storage entities The benchmark charging and discharging prices, For price adjustment parameters, As the main body of energy storage In the The integral of the single-cycle planned response contribution over each calculation period. As the main body of energy storage In the The contribution integral of a single emergency response over a calculation cycle.

8. The distributed energy storage scheduling method of the high-proportion new energy power system according to claim 3, characterized in that, In a cluster, the distributed energy storages in the cluster are divided as follows by taking the unit power use cost of the distributed energy storage corresponding to the cluster center as the first boundary and the unit power regulation response time as the second boundary: 1) the distributed energy storages with the unit power use cost greater than the first boundary and the unit power regulation response time greater than the second boundary are divided into an economic scheduling layer, the power control time of the economic scheduling layer is minute level, and the distributed energy storages in the economic scheduling layer optimize the charging and discharging control according to the determined charging price and discharging price in the current calculation period and participate in the energy market; 2) the distributed energy storages with the unit power use cost not greater than the first boundary and the unit power regulation response time not greater than the second boundary are divided into a fast response layer, the power control time of the fast response layer is millisecond level, and the distributed energy storages in the fast response layer respond to the high-frequency regulation demand of the power grid according to the determined charging price and discharging price in the current calculation period.

9. The distributed energy storage scheduling method of the high-proportion new energy power system according to claim 2, characterized in that, The control priority of the distributed energy storage with the lowest body temperature and environmental temperature is the highest, and the control priority of the distributed energy storage with the highest body temperature and environmental temperature is the lowest.

10. A distributed energy storage scheduling system for a high-proportion new energy power system, used to implement the distributed energy storage scheduling method of any one of claims 1 to 9. It comprises: An energy storage aggregation module for aggregating the distributed energy storages in the power grid partition to obtain a plurality of energy storage subjects; A price setting module for calculating the one-time planned response contribution degree integral of each energy storage subject in each calculation period according to the actual response capacity and the planned response capacity of each energy storage subject and the total planned regulation capacity of the power grid; The one-time emergency response contribution degree integral of each energy storage subject is calculated according to the actual response capacity and the planned response capacity of each energy storage subject in the emergency response and the total emergency regulation capacity of the power grid; the charging price and the discharging price of each energy storage subject in the current calculation period are determined by using the one-time planned response contribution degree integral and the one-time emergency response contribution degree integral of each energy storage subject in each calculation period; A scheduling module for scheduling each distributed energy storage in each energy storage subject based on the determined charging price and discharging price.

11. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is used to operate according to the instructions to perform the steps of the method of any one of claims 1-9.

12. A computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the steps of the method of any one of claims 1-9.

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