A method, system, equipment and medium for the access and regulation of multi-source (source, load and storage) resources.

Abstract

This invention belongs to the field of power system technology and discloses a method, system, equipment, and medium for the access and regulation of multiple source-load-storage resources. The method includes: analyzing the regulation mechanism of the adjustable resources to obtain their regulation characteristics; constructing a unified access and scheduling architecture for multiple source-load-storage adjustable resources; determining the access requirements of these resources based on the unified access and scheduling architecture; establishing a comprehensive cost and regulation performance priority model based on the topology of the multiple source-load-storage adjustable resources; and solving the comprehensive cost and regulation performance priority model using a multi-objective particle swarm optimization algorithm to obtain the optimal regulation amount for each adjustable resource. This invention not only achieves unified resource scheduling and management, improving resource access efficiency and supply stability, but also realizes large-scale access and optimized regulation of multiple adjustable resources, improving resource utilization efficiency and reducing scheduling costs.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a method, system, equipment and medium for the access and regulation of multi-source (source, load and storage) resources. Background Technology

[0002] In emergency power supply and renewable energy consumption scenarios, active power reserves are tight, flexible frequency regulation resources are scarce, and system adequacy is insufficient. Power balancing means are also inadequate in emergency frequency regulation scenarios. Therefore, it is very important to maintain system power balance and frequency stability by making reasonable use of diverse and adjustable resources of "source-load-storage".

[0003] Meanwhile, the increasing penetration rate of new energy sources brings significant challenges to the scheduling, operation, and control of new power systems due to their volatility and uncertainty. With the continuous advancement of new power system construction, the scale of distributed power generation, load, and storage resources, typically represented by photovoltaics, electric vehicles, and energy storage stations, is growing rapidly. Distributed power sources are characterized by susceptibility to natural factors, fluctuating output, and strong intermittency; distributed loads exhibit significant differences in adjustability and limited single-point absorption capacity; and distributed energy storage is characterized by wide geographical distribution and high cost. Currently, the various resources of power generation, load, and storage are dispersed, with limited control methods and a lack of intelligent and proactive coordinated control strategies, making it difficult to meet the "proactive" and "coordinated" requirements of frequency stability control.

[0004] Therefore, how to provide a method, system, equipment, and medium for the access and regulation of multi-source (source, load, and storage) resources is an urgent problem to be solved. Summary of the Invention

[0005] This invention provides a method, system, device, and medium for regulating the access of multiple resources (source, load, and storage) to solve the problems in the prior art.

[0006] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or to describe the scope of protection of these embodiments. Its sole purpose is to present some concepts in a simple form as a prelude to the detailed description that follows.

[0007] According to a first aspect of the present invention, a method for regulating the access of multiple resources (source, load, and storage) is provided.

[0008] In one embodiment, a multi-source access control method for source, load, and storage includes:

[0009] Obtain the adjustable resources of source, load, and storage; and obtain the adjustment characteristics of the adjustable resources by analyzing their adjustment mechanisms.

[0010] Based on information communication and automatic control technologies, and combined with the adjustment characteristics of source-load-storage adjustable resources, a unified access scheduling architecture for multiple adjustable resources of source-load-storage is constructed. Based on the communication latency and control requirements when adjustable resources are accessed, and according to the unified access scheduling architecture for multiple adjustable resources of source-load-storage, the access requirements for multiple adjustable resources of source-load-storage are determined.

[0011] Based on the access requirements of source-load-storage multi-adjustable resources, a topology of source-load-storage multi-adjustable resources considering adjustment characteristics is constructed. Based on the topology of source-load-storage multi-adjustable resources, a comprehensive cost and adjustment performance priority model is established. The comprehensive cost and adjustment performance priority model is solved by multi-objective particle swarm optimization algorithm to obtain the optimal adjustment amount of each source-load-storage adjustable resource.

[0012] In one embodiment, acquiring adjustable resource data for source-load-storage includes: adjustable resources on the source side, adjustable resources on the load side, and adjustable resources on the storage side.

[0013] Adjustable resources on the source side include thermal power units, hydropower units, wind power units, photovoltaic power plants, solar thermal power plants, and nuclear power.

[0014] Adjustable resources on the load side are load resources in the power system that meet the technical requirements and participate in grid dispatch;

[0015] Adjustable resources on the energy storage side include electric energy storage systems and pumped storage power stations.

[0016] In one embodiment, a unified access scheduling architecture for multiple adjustable resources (source, load, and storage) is constructed based on information communication and automatic control technologies and the adjustment characteristics of these resources. Based on the communication latency and control requirements during adjustable resource access, and according to the unified access scheduling architecture, the access requirements for these multiple adjustable resources are determined to include:

[0017] A scheduling architecture comprising three levels—network scheduling, provincial scheduling, and regional scheduling—is constructed. Data communication connections are established through wide area service agents, message transmission mechanisms, and communication buses to obtain a unified access scheduling architecture for diverse and adjustable resources from sources, loads, and storage.

[0018] Based on the information interaction requirements of adjustable resources of source, load and storage, and combined with the analysis of communication technology selection, a multi-time-scale adjustable resource pool is constructed.

[0019] Based on the unified access scheduling architecture of source-load-storage multi-adjustable resources and the multi-time-scale adjustable resource pool, the access requirements of source-load-storage multi-adjustable resources under different voltage levels are determined.

[0020] In one embodiment, the access requirements for source-load-storage multi-adjustable resources include: access method, communication method, communication protocol, and control path.

[0021] In one embodiment, the multi-timescale adjustable resource pool includes: public communication methods and converged local multimedia communication network communication methods.

[0022] In one embodiment, a source-load-storage multi-element adjustable resource topology that takes into account regulation characteristics includes:

[0023] The adjustable resources on the source side are provided wirelessly or via fiber optic cable and connected to the corresponding communication network or user according to the voltage level.

[0024] Adjustable resources on the load side are regulated and controlled through a load control system.

[0025] Adjustable resources on the energy storage side are controlled through the monitoring system of the energy storage power station.

[0026] In one embodiment, the objective function of the overall cost and regulation performance priority model includes minimizing the overall cost and maximizing the regulation performance.

[0027] The total cost includes: the operating costs of conventional generating units, energy storage equipment, and new energy sources, as well as user load regulation costs and environmental costs;

[0028] Adjustable performance includes: adjustable capacity range, climbing rate, response time, and adjustment range.

[0029] In one embodiment, the constraints of the comprehensive cost and regulation performance priority model include unit operation constraints, unit ramp-up constraints, new energy unit output constraints, pumped storage operation constraints, electric energy storage operation constraints, various load-side resource constraints, and power balance constraints.

[0030] In one embodiment, the objective function expression for the combined cost and performance-priority model is:

[0031]

[0032] In the formula, minC represents the objective function of minimizing the overall cost, maxf represents the objective function of maximizing the regulation performance, and C represents the overall operating cost of the power system; C G,t Indicates the operating cost of the unit, C E,t Indicates the operating cost of energy storage equipment, C R,t This indicates the operating cost of new energy units, C L,t Indicates user load adjustment cost, C N,t Let f represent the environmental cost, and let f represent the quantitative value of the power system's regulation performance. R,t This represents the weighted average value of the adjustable capacity range, f. S,t This represents the weighted average value of the climbing rate, f. T,t This represents the response time weighted value, f. M,tThis represents the value after adjusting for mileage weighting, where T represents the time period and t represents the time point.

[0033] According to a second aspect of the present invention, a multi-source access control system for source, load, and storage is provided.

[0034] In one embodiment, a multi-resource access control system for source, load, and storage includes:

[0035] The regulation characteristic analysis module is used to obtain the adjustable resources of source load storage. By analyzing the regulation mechanism of the adjustable resources, the regulation characteristics of the adjustable resources of source load storage are obtained.

[0036] The access requirement determination module is used to construct a unified access scheduling architecture for multiple adjustable resources based on source, load, and storage, based on information communication and automatic control technologies and the adjustment characteristics of adjustable resources. Based on the communication latency and control requirements when adjustable resources are accessed, and according to the unified access scheduling architecture for multiple adjustable resources, the module determines the access requirements for multiple adjustable resources based on source, load, and storage.

[0037] The optimal adjustment amount calculation module is used to construct a topology structure of source-load-storage multi-adjustable resources that takes into account adjustment characteristics, based on the access requirements of source-load-storage multi-adjustable resources; and to establish a comprehensive cost and adjustment performance priority model based on the topology structure of source-load-storage multi-adjustable resources. The comprehensive cost and adjustment performance priority model is solved by a multi-objective particle swarm optimization algorithm to obtain the optimal adjustment amount of each adjustable resource of source-load-storage.

[0038] In one embodiment, a unified access scheduling architecture for multiple adjustable resources (source, load, and storage) is constructed based on information communication and automatic control technologies and the adjustment characteristics of these resources. Based on the communication latency and control requirements during adjustable resource access, and according to the unified access scheduling architecture, the access requirements for these multiple adjustable resources are determined to include:

[0039] A scheduling architecture comprising three levels—network scheduling, provincial scheduling, and regional scheduling—is constructed. Data communication connections are established through wide area service agents, message transmission mechanisms, and communication buses to obtain a unified access scheduling architecture for diverse and adjustable resources from sources, loads, and storage.

[0040] Based on the information interaction requirements of adjustable resources of source, load and storage, and combined with the analysis of communication technology selection, a multi-time-scale adjustable resource pool is constructed.

[0041] Based on the unified access scheduling architecture of source-load-storage multi-adjustable resources and the multi-time-scale adjustable resource pool, the access requirements of source-load-storage multi-adjustable resources under different voltage levels are determined.

[0042] In one embodiment, a source-load-storage multi-element adjustable resource topology that takes into account regulation characteristics includes:

[0043] The adjustable resources on the source side are provided wirelessly or via fiber optic cable and connected to the corresponding communication network or user according to the voltage level.

[0044] Adjustable resources on the load side are regulated and controlled through a load control system.

[0045] Adjustable resources on the energy storage side are controlled through the monitoring system of the energy storage power station.

[0046] In one embodiment, the objective function of the overall cost and regulation performance priority model includes minimizing the overall cost and maximizing the regulation performance.

[0047] The total cost includes: the operating costs of conventional generating units, energy storage equipment, and new energy sources, as well as user load regulation costs and environmental costs;

[0048] Adjustable performance includes: adjustable capacity range, climbing rate, response time, and adjustment range.

[0049] In one embodiment, the constraints of the comprehensive cost and regulation performance priority model include unit operation constraints, unit ramp-up constraints, new energy unit output constraints, pumped storage operation constraints, electric energy storage operation constraints, various load-side resource constraints, and power balance constraints.

[0050] According to a third aspect of the present invention, a computer device is provided.

[0051] In some embodiments, the computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described above.

[0052] According to a fourth aspect of the present invention, a computer-readable storage medium is provided.

[0053] In one embodiment, a computer program is stored on a computer-readable storage medium, which, when executed by a processor, implements the steps of the above method.

[0054] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0055] 1. This invention not only realizes unified resource scheduling and management, improves resource access efficiency and supply stability, but also realizes large-scale access and optimized regulation of diverse adjustable resources, improves resource utilization efficiency, reduces scheduling costs, solves the problem of difficulties for power dispatching departments in accessing and regulating massive distributed power adjustable resources, and improves resource utilization efficiency and reduces scheduling costs.

[0056] 2. This invention employs information communication and automatic control technologies to issue real-time adjustment commands to adjustable loads connected to power plants, large industrial loads, or aggregator platforms via the dispatching side. This enables the target calculation, allocation, and automatic tracking adjustment of active power of adjustable resources in each link of the "source-load-storage" system, including generators and adjustable loads, within the grid control range. This achieves the goal of meeting the requirements of real-time grid balance and frequency regulation, maintaining the system frequency and tie-line exchange power within the planned deviation range in a closed-loop control process. This represents a further deepening and expansion of traditional automatic generation control functions.

[0057] 3. This invention establishes a unified access and scheduling architecture for multiple adjustable resources (source, load, and storage) to achieve unified resource scheduling and management, improve resource access efficiency and supply stability. Considering communication latency and control requirements during resource access, it determines the access method, communication method, communication protocol, and control path for multiple adjustable resources (source, load, and storage), forming a corresponding security control network and control topology optimization technology. Taking into account adjustment characteristics, it establishes a comprehensive cost and adjustment performance priority model to obtain the adjustment amount of each adjustable resource (source, load, and storage), realizing large-scale access and closed-loop control of multiple adjustable resources, improving resource utilization efficiency and reducing scheduling costs.

[0058] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0059] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0060] Figure 1 This is a flowchart illustrating a multi-source access control method for source, load, and storage resources according to an exemplary embodiment;

[0061] Figure 2 This is a schematic diagram illustrating the principle of a multi-source access control system based on an exemplary embodiment.

[0062] Figure 3 This is a schematic diagram of a unified access architecture for a multi-source, load, and storage adjustable resource access control method according to an exemplary embodiment.

[0063] Figure 4 This is a diagram illustrating the collaborative interaction service communication access architecture of source-load-storage resources at the 10kV / 35kV voltage level, according to an exemplary embodiment of a source-load-storage multi-resource access control method.

[0064] Figure 5This is a diagram illustrating a source-load-storage multi-resource access control method according to an exemplary embodiment, showing a 220V / 380V voltage level source-load-storage resource collaborative interaction service communication access architecture.

[0065] Figure 6 This is a schematic diagram of the topology of a medium-load control system according to an exemplary embodiment of a multi-source access control method for source, load, and storage;

[0066] Figure 7 This is a topology diagram of a monitoring system for a multi-source access control method for energy storage and power generation, according to an exemplary embodiment.

[0067] Figure 8 This is a schematic diagram of the structure of a computer device according to an exemplary embodiment. Detailed Implementation

[0068] The following description and accompanying drawings fully illustrate specific embodiments described herein to enable those skilled in the art to practice them. Some embodiments may include or substitute parts and features of other embodiments. The scope of the embodiments herein encompasses the entire scope of the claims and all available equivalents thereof. Throughout this document, the terms “first,” “second,” etc., are used only to distinguish one element from another without requiring or implying any actual relationship or order between the elements. Indeed, a first element can also be referred to as a second element, and vice versa. Furthermore, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a structure, apparatus, or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a structure, apparatus, or device. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the structure, apparatus, or device that includes the element. The various embodiments described herein are presented in a progressive manner, with each embodiment focusing on its differences from other embodiments; similar or identical parts between embodiments can be referred to interchangeably.

[0069] The terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer" used in this document to indicate orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings. They are used solely for the convenience of describing the document and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In the description herein, unless otherwise specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to mechanical or electrical connections, or internal connections between two elements; they can be direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms according to the specific circumstances.

[0070] In this document, unless otherwise stated, the term "multiple" means two or more.

[0071] In this article, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0072] In this article, the term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0073] It should be understood that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order constraint on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the diagram may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0074] The modules in the apparatus or system of this application can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0075] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0076] Figure 1An embodiment of the source-load-storage multi-resource access control method of the present invention is shown.

[0077] In this optional embodiment, the source-load-storage multi-resource access control method includes:

[0078] Step S101: Obtain the adjustable resources of source load storage, and obtain the adjustment characteristics of the adjustable resources of source load storage by analyzing the adjustment mechanism of the adjustable resources.

[0079] Step S103: Based on information communication and automatic control technologies, and combined with the adjustment characteristics of source-load-storage adjustable resources, construct a unified access scheduling architecture for source-load-storage multi-adjustable resources; based on the communication latency and control requirements when adjustable resources are accessed, and according to the unified access scheduling architecture for source-load-storage multi-adjustable resources, determine the access requirements for source-load-storage multi-adjustable resources.

[0080] Step S105: Based on the access requirements of the source-load-storage multi-adjustable resources, construct a topology structure of the source-load-storage multi-adjustable resources that takes into account the adjustment characteristics; and establish a comprehensive cost and adjustment performance priority model based on the topology structure of the source-load-storage multi-adjustable resources. Solve the comprehensive cost and adjustment performance priority model through a multi-objective particle swarm optimization algorithm to obtain the optimal adjustment amount of each source-load-storage adjustable resource.

[0081] In this optional embodiment, the data on adjustable resources of source, load, and storage includes: adjustable resources on the source side, adjustable resources on the load side, and adjustable resources on the energy storage side; adjustable resources on the source side include thermal power units, hydropower units, wind power units, photovoltaic power plants, solar thermal power plants, and nuclear power plants; adjustable resources on the load side are load resources in the power system that have the technical conditions and participate in grid dispatch; adjustable resources on the energy storage side include electric energy storage systems and pumped storage power plants.

[0082] In this optional embodiment, a unified access scheduling architecture for multiple adjustable resources based on source-load-storage is constructed based on information communication and automatic control technologies and the adjustment characteristics of these resources. Based on the communication latency and control requirements during adjustable resource access, and according to the unified access scheduling architecture, the access requirements for these resources are determined as follows: A scheduling architecture comprising three levels—network dispatch, provincial dispatch, and local dispatch—is constructed, and data communication connections are established through wide area service proxies, message transmission mechanisms, and communication buses to obtain the unified access scheduling architecture for multiple adjustable resources. Based on the information interaction requirements of these resources and in conjunction with communication technology selection analysis, a multi-timescale adjustable resource pool is constructed. Based on the unified access scheduling architecture and the multi-timescale adjustable resource pool, the access requirements for these resources at different voltage levels are determined.

[0083] In this optional embodiment, the access requirements for the source-load-storage multi-adjustable resources include: access method, communication method, communication protocol, and control path.

[0084] In this optional embodiment, the multi-timescale adjustable resource pool includes: public communication methods and converged local multimedia communication network communication methods.

[0085] In this optional embodiment, the source-load-storage multi-element adjustable resource topology that takes into account regulation characteristics includes: the source-side adjustable resources are in the form of wireless or optical fiber and are connected to the corresponding communication network or user according to the voltage level; the load-side adjustable resources are regulated and controlled by the load regulation system; and the energy storage-side adjustable resources are controlled by the monitoring system of the energy storage power station.

[0086] In this optional embodiment, the objective function of the overall cost and regulation performance priority model includes: minimizing overall cost and maximizing regulation performance; overall cost includes: operating costs of conventional units, energy storage equipment, and new energy sources, user load regulation costs, and environmental costs; regulation performance includes: adjustable capacity range, ramp rate, response time, and regulation mileage.

[0087] In this optional embodiment, the constraints of the comprehensive cost and regulation performance priority model include unit operation constraints, unit ramp-up constraints, new energy unit output constraints, pumped storage operation constraints, electric energy storage operation constraints, various load-side resource constraints, and power balance constraints.

[0088] To facilitate understanding of the above technical solutions of the present invention, the following further describes the above technical solutions of the present invention from the perspectives of architecture and principle, as follows:

[0089] Step 1: Analyze the regulation characteristics of different types of source, load, and storage resources:

[0090] (1) Source side: Adjustable resources on the source side mainly include thermal power units, hydropower units, wind power units, photovoltaic power plants, solar thermal power plants, nuclear power plants, etc. Taking thermal power units as an example, the adjustment capability of conventional units with flexible adjustment capabilities within a certain time scale is mainly determined by their inherent physical properties and current operating status. The adjustment mileage of the active power output of the online unit at time t+τ can be written as:

[0091]

[0092] In the formula, P G.t+τ P represents the output of a thermal power unit at time t+τ. G.t P represents the output of the thermal power unit at time t. G.max This indicates the upper limit of the output of the thermal power unit and P. G.min This indicates the lower limit of the output of thermal power units; This indicates the maximum ramp rate of the online unit. τ represents the maximum rate of ramp-down for the online unit, and τ represents the time scale.

[0093] The flexibility of thermal power units often requires advance planning and scheduling to adapt to long-term load demand changes. Compared with conventional energy sources, wind and solar energy are characterized by randomness, intermittency, and volatility. The large-scale integration of wind power will inevitably have a significant impact on the operation of the power grid. Although nuclear power plants have large adjustable capacity, their initial investment is large, and large-scale use is not advisable considering local conditions. Hydropower units have fast adjustment rates, wide ranges, low adjustment costs, and can be integrated with intermittent power sources such as wind and solar power for grid connection. As a supporting power source for receiving-end load centers, they can be given priority.

[0094] (2) Adjustable loads on the load side refer to load resources in the power system that meet the technical requirements and participate in grid dispatch. Load-side resources are mainly based on the demand response mechanism. The expressions for the adjustment mileage of interruptible loads, transferable loads after demand response, electricity loads with electricity-cooling substitution, and electricity-heating substitution are as follows:

[0095]

[0096]

[0097] In the formula, L represents the electrical load that participates in interruptible load demand response at time t. e.t This represents the conventional electrical load of the integrated energy hub at time t. This indicates the flexible supply of load that can be interrupted at time t; This represents the electrical load that participates in the load transfer demand response at time t. This represents the transferable power of load l at time t. P represents the power removed from the transferable load l at time t; AC.T τ represents the power of the air conditioning electrical load that can be replaced by the cooling load at time t, n represents the number of air conditioners, and the air conditioning operating time represents τ. on , τ c The control cycle of the air conditioner is represented by P, the average rated power of the air conditioner is represented by τ, the time scale is represented by c, and the specific heat capacity of water is represented by V. t T represents the volume of hot water used at time t. t W T represents the temperature of the hot water at time t. c Indicates the temperature of cold water, η WH P represents the heating efficiency of a water heater. WH.t This represents the power at time t that can be replaced by a cooling load.

[0098] The four types of load-side flexibility resources mentioned above participate in demand response in different ways, and thus the adjustment range of the resources that can be called up also varies. The total amount of load-side flexibility resources is relatively small, but its advantage is that the adjustment rate is very fast, and the response time of the maximum capacity can usually reach the second level.

[0099] 3. Energy storage side

[0100] Energy storage flexibility resources can be divided into electric energy storage systems and pumped storage hydroelectric power stations; the former specifically refers to battery energy storage, flywheel energy storage, and compressed air energy storage; the regulation mileage expressions for electric energy storage systems and pumped storage hydroelectric power stations are as follows:

[0101]

[0102]

[0103] In the formula, P ES.t P represents the regulating range of the energy storage system. PS.t This indicates the regulating mileage of a pumped storage power station. express, Indicates charging power. Indicates the power output. This indicates the maximum charging power. This indicates the maximum value of the released power. This indicates the upper limit of the energy storage capacity of the flexible energy storage resource e. This indicates the lower limit of the energy storage capacity of energy storage-type flexible resource e. This indicates the flexibility and charging efficiency of energy storage resources. This indicates the energy release efficiency of flexible energy storage resources. This indicates the upward ramp rate of the pumped storage unit. This indicates the downward ramp rate of the pumped storage unit.

[0104] Energy storage batteries can respond to grid load fluctuations within milliseconds and quickly adjust power output to meet the instantaneous demand of the grid. They can also be optimized for scheduling based on changes in grid load and prices. Compared to mechanical energy storage technologies such as pumped hydro storage, energy storage batteries have higher energy conversion efficiency and can achieve more precise power regulation. Battery energy storage can respond to grid load fluctuations within milliseconds, but the energy storage capacity of battery energy storage will gradually decrease with the increase of charge and discharge cycles, so its service life is usually short, about 5-10 years.

[0105] Step 2: Establish a unified access and scheduling architecture for diverse and adjustable resources from sources, loads, and storage to achieve unified resource scheduling and management, thereby improving resource access efficiency and supply stability.

[0106] A unified access architecture for diverse and adjustable resources such as source, load, and storage. Figure 3As shown, the architecture includes three levels: network dispatch, provincial dispatch, and regional dispatch. It enables cross-regional data interaction horizontally and information transmission at all levels vertically. The communication bus in this architecture should include reliable and universal information interaction and wide-area service mechanisms such as message bus. Vertically, it supports secure and efficient data communication between load control systems at all levels. Horizontally, it supports secure and efficient data communication between load control systems and other business systems. It can support data sharing between nodes for various business applications through wide-area service proxies, message transmission mechanisms, and communication buses.

[0107] The unified access architecture of multi-source, load, and storage adjustable resources relies on Automatic Power Control (APC) for control and regulation. It adopts information communication and automatic control technologies to issue real-time adjustment commands to adjustable loads connected to power plants, large industrial loads, or aggregator platforms through the dispatch side. This enables the target calculation, allocation, and automatic tracking and adjustment of active power of adjustable resources in each link of the "source-load-storage" system, such as generators and adjustable loads, within the grid control range. This achieves the requirements of real-time grid balance and frequency regulation, and maintains the closed-loop control process of system frequency and tie-line exchange power within the planned deviation range. It is a further deepening and expansion of the traditional Automatic Generation Control (AGC) function.

[0108] Step 3: Consider the communication latency and control requirements when accessing resources, and determine the access method, communication method and communication protocol for the source-load-storage multi-adjustable resources.

[0109] To address the information exchange needs of distributed source-load-storage resource collaborative interaction, and based on communication technology selection analysis, this paper utilizes a remote communication network primarily based on public communication methods such as 4G / 5G and wireless base stations, as well as a local multi-media communication network integrating various communication methods including RS485, high-speed power line communication (HPLC), high-speed radio frequency (HRF), Zigbee, WiFi, and fiber optics. This network supports the aggregation of distributed resources to form a multi-timescale adjustable resource pool, thereby participating in precise grid regulation. Based on the characteristics of the unified access and scheduling architecture and communication technologies of the aforementioned source-load-storage multi-adjustable resources, communication methods and access schemes for the multi-adjustable resources of source-load-storage under different voltage levels are designed as follows:

[0110] (1) 10kV / 35kV voltage level

[0111] The energy source, load, and storage resources are connected to the power grid dispatch center via 4G / 5G public networks and fiber optic communication. High-voltage equipment within these resources is directly connected to the power grid dispatch center, distribution electrification master station, and smart energy service platform via a remote communication network composed of EPON optical communication network and 4G / 5G public networks. This enables the exchange of typical distributed resource interaction business information, such as APC regulation commands, dispatch plans, and demand response commands. The access architecture is as follows: Figure 4 As shown.

[0112] (2) 220V / 380V voltage level

[0113] The source, load, and storage resources can communicate with the aggregator platform using a single-network dual-mode communication method combining HRF and HPLC, leveraging the high transmission rate of HRF and the long-distance, high stability advantages of HPLC. The aggregator and the power grid layer can communicate remotely via fiber optics or 4G / 5G public networks, facilitating the exchange of typical distributed resource interaction business information such as APC regulation commands, scheduling plans, and demand response commands. The access architecture is as follows: Figure 5 As shown.

[0114] The communication methods and access schemes based on source-load-storage multi-adjustable resources should comply with the following relevant communication protocols:

[0115] (1) Source side

[0116] For distributed power sources that are directly connected to the public power grid at a voltage level of 10(6)kV and connected to the grid at a voltage level of 35kV, telemetry, telesignaling, telecontrol, and teleadjustment signals can be based on the DL / T634.5104 and DL / T634.5101 communication protocols to meet the secondary safety protection requirements of the power system; for power sources connected to the grid at a voltage level of 380V and power sources connected to the user side at a voltage level of 10(6)kV, information is transmitted in accordance with the DL / T634.5104 and DL / T634.5101 communication protocols.

[0117] (2) Load side

[0118] The interface interaction information covers basic data such as models, measurements, and control, as well as market and planning economic data, conforming to the data model requirements of DL / T2473.4. For the interface interaction between the load control system and the load aggregator platform, it is recommended to use cross-platform service calls, adopting REST or SOAP WebService service technologies and specifications to achieve data interaction. The power communication protocol is mainly used for the interaction between directly controlled load data and the load control system, and can refer to DL / T634.5101, DL / T634.5104, and DL / T476 power communication protocols.

[0119] (3) Energy storage measurement

[0120] Communication between devices in the energy storage power station monitoring system should use Ethernet interfaces and comply with communication standards such as GB / T19582, DL / T667, and DL / T860. The remote control workstation should meet the communication protocols of standards such as DL / T634.5104, DL / T719, GB / T19582, DL / T634.5104, and DL / T860. Communication with devices such as battery management systems, energy storage converters, protection devices, power acquisition terminals, fault recording devices, fire protection systems, heating, ventilation and air conditioning systems, and environmental monitoring devices should adopt the corresponding standard protocols.

[0121] Step 4: Establish an optimized control topology for source, load, and storage multi-adjustable resources, taking into account regulation characteristics, establish a comprehensive cost and regulation performance priority model, solve for the optimal control commands for each resource on the source, load, and storage side, and realize the optimal scheduling of source, load, and storage resources.

[0122] Source-side adjustable resources are typically directly connected to the corresponding communication network or user according to voltage level, using wireless, fiber optic, or other methods. The specific control topology depends on the corresponding power communication network structure. Load-side adjustable resources are controlled through a load regulation system. The information transmission topology between adjustable loads and their corresponding dispatching master stations is as follows: Figure 6 As shown; the control of adjustable resources on the energy storage side is accomplished through the monitoring system of the energy storage power station, and its information transmission topology is as follows. Figure 7 As shown.

[0123] In terms of analysis and decision-making, the principle of prioritizing comprehensive cost and regulation performance is adopted, and the regulation amount of each resource is generated with the goal of minimizing comprehensive cost and optimizing regulation performance. Comprehensive cost mainly includes: the operating costs of conventional units, energy storage equipment, and new energy sources, user load regulation costs, and environmental costs; regulation performance includes: adjustable capacity range, ramp rate, response time, and regulation mileage; the expression of the objective function is as follows:

[0124]

[0125]

[0126] In the formula, minC represents the objective function of minimizing the overall cost, maxf represents the objective function of maximizing the regulation performance, and C represents the overall operating cost of the power system; C G,t Indicates the operating cost of the unit, C E,t Indicates the operating cost of energy storage equipment, C R,t This indicates the operating cost of new energy units, C L,t Indicates user load adjustment cost, C N,t Let f represent the environmental cost, and let f represent the quantitative value of the power system's regulation performance. R,t This represents the weighted average value of the adjustable capacity range, f.S,t This represents the weighted average value of the climbing rate, f. T,t This represents the response time weighted value, f. M,t This represents the adjusted mileage weighted value, where T represents the time period, t represents the time point, and N represents the distance. s N represents the total number of scenes. G p represents the number of conventional generating units. s P represents the probability of scenario s occurring; Gi,t,s Let a represent the power generation of the i-th conventional unit at time t in scenario s. i b i c i These are the coefficients of the quadratic, linear, and constant terms in the power generation cost expression for the i-th conventional unit, respectively. Gi,t Let u represent the start / stop variable of the i-th conventional unit at time t, and let t represent a 0-1 variable; Gi,t-1 This represents the start-up and shutdown variable of the i-th conventional unit at time t-1. N represents the startup cost of the i-th conventional unit; E C represents the total number of energy storage devices. Ei This represents the operating cost of energy storage equipment, including the depreciation cost of the energy storage power station. P Ei,t,s This represents the power generation of the i-th energy storage device at time t in scenario s; Let N represent the start-up / shutdown variable at time t under scenario s of the i-th energy storage power station; let N represent the 0-1 variable. R P represents the total number of new energy generating units. Ri,t,s C represents the dispatch output value of the i-th new energy unit at time t in scenario s. Ri This indicates the operating cost of new energy generating units. The startup cost of the i-th new energy unit; C R This indicates that abandoning new energy sources will incur penalties and costs. Ri,t,s Let u represent the start-up / shutdown variable of the i-th renewable energy unit at time t, and let u represent a 0-1 variable. Ri,t-1,s This represents the start-up / shutdown variable of the i-th renewable energy unit at time t-1. Let P represent the predicted value of the i-th renewable energy unit at time t under scenario s. LAL,t,s C represents the actual amount of adjustable load called. LAL C represents the cost of calling an adjustable load. L P represents the unit penalty cost of load shedding. loss,t,s Q represents the actual load shedding amount at time t under scenario s; q,t,s γ represents the amount of electricity generated by photovoltaics at time t under scenario s. cC1 represents the carbon emission benefit coefficient of photovoltaic power generation, C2 represents the penalty cost required to control CO emissions from coal-fired power generation, C3 represents the penalty cost required to control SO emissions from coal-fired power generation, and C4 represents the penalty cost required to control NO emissions from coal-fired power generation. x The required penalty cost, E1 represents the CO emission factor of coal-fired power generation, E2 represents the SO emission factor of coal-fired power generation, and E3 represents the NO emission factor of coal-fired power generation. x The emission factor, Q p,t,s This represents the amount of electricity generated by coal-fired power generation at time t in scenario s; w R w represents the weighting factor for the adjustable capacity range. S The weighting factor w represents the rate of ascent. T w represents the weighting factor for response time. M The weighting factor for adjusting mileage is obtained from historical response results; N represents the total number of adjustable resources, and P... maxi,t,s This represents the maximum output of the i-th adjustable resource in scenario s.

[0127] P mini,t,s P represents the minimum output of the i-th adjustable resource in scenario s. ri,t,s ΔP represents the self-adjusting rated capacity of the i-th adjustable resource in scenario s; Ti,t,s This represents the maximum ramp power of the adjustable resource per unit time in scenario s over time period T; T i,t,s P represents the time interval at which the adjustable resource responds in scenario s; i,t,s Let τ represent the power generation of the i-th generator unit at time t in scenario s, where τ represents the time scale. This indicates the maximum upward and downward ramp rates of the online unit.

[0128] The relevant constraints include conventional unit operation constraints, conventional unit ramp-up constraints, renewable energy unit output constraints, pumped storage operation constraints, electric energy storage operation constraints, various load-side resource constraints, and power balance constraints; the constraint expressions are as follows:

[0129]

[0130]

[0131] In the formula, This represents the lower limit of the output of the i-th conventional unit. This represents the upper limit of the output of the i-th conventional unit; This represents the rate limit for the i-th conventional unit to climb the slope. This represents the rate limit for the i-th conventional unit to climb downhill; This represents the lower limit of the output of the i-th new energy wind turbine. This represents the upper limit of the output of the i-th new energy wind turbine unit; Let represent the power generation of the i-th pumped storage power station in scenario s at time t. Let represent the power generation of the i-th pumped storage power station in scenario s at time t-1. This indicates the charging power limit of the i-th pumped storage power station. This indicates the discharge power limit of the i-th pumped storage power station. Let represent the water storage capacity at time t under scenario s of the i-th pumped storage power station. This represents the lower limit of the water storage capacity of the i-th pumped storage power station. denoted by rESi, the upper limit of the water storage capacity of the i-th pumped storage power station is represented by rESi, which represents the ramp rate limit of the i-th pumped storage power station. Let represent the output of the i-th energy storage power station in scenario s at time t. This indicates the charging power limit of the i-th energy storage station.

[0132] This indicates the discharge power limit of the i-th energy storage power station. This represents the energy storage capacity of the i-th energy storage power station in scenario s at time t. This represents the lower limit of the storage capacity of the i-th energy storage power station. P represents the upper limit of the energy storage capacity of the i-th energy storage station; PDR,t,s This represents the call volume at time t under the price-based demand response load scenario s. This represents the minimum call size for price-based demand response load. This indicates the maximum amount of price-based demand response load that can be invoked. This indicates the minimum amount of data that can be called to adjust the load. This indicates the maximum amount of adjustable load that can be called; Let P be the predicted user load at time t in scenario s. loss,t,s P represents the actual load shedding amount at time t under scenario s. LAL,t,s P represents the actual amount of adjustable load called. Gi,t,s P represents the power generation of the i-th conventional unit at time t in scenario s. Ri,t,s P represents the dispatch output value of the i-th new energy unit at time t in scenario s during this stage. Ei,t,s This represents the power generation of the i-th energy storage device at time t in scenario s.

[0133] This problem can be solved using multi-objective particle swarm optimization algorithms to obtain the adjustment amounts of each adjustable resource (source, load, and storage) and the aggregator, and to solve for the optimal control commands for discrete grid devices, demand response loads, photovoltaics, and energy storage, thereby achieving optimized control of source, load, and storage resources.

[0134] Figure 2An embodiment of a multi-park integrated energy dispatching system of the present invention is shown.

[0135] In this optional embodiment, the source-load-storage multi-resource access control system includes:

[0136] The regulation characteristic analysis module 201 is used to obtain the adjustable resources of source load storage, and obtain the regulation characteristics of the adjustable resources of source load storage by analyzing the regulation mechanism of the adjustable resources.

[0137] The access requirement determination module 203 is used to construct a unified access scheduling architecture for multiple adjustable resources based on source, load, and storage, based on information communication and automatic control technologies and combined with the adjustment characteristics of adjustable resources; and to determine the access requirements of multiple adjustable resources based on communication latency and control requirements when accessing adjustable resources, and according to the unified access scheduling architecture for multiple adjustable resources.

[0138] The optimal adjustment amount calculation module 205 is used to construct a topology structure of source-load-storage multi-adjustable resources that takes into account the adjustment characteristics based on the access requirements of the source-load-storage multi-adjustable resources; and to establish a comprehensive cost and adjustment performance priority model based on the topology structure of the source-load-storage multi-adjustable resources. The comprehensive cost and adjustment performance priority model is solved by a multi-objective particle swarm optimization algorithm to obtain the optimal adjustment amount of each adjustable resource of source-load-storage.

[0139] In this optional embodiment, a unified access scheduling architecture for multiple adjustable resources based on source-load-storage is constructed based on information communication and automatic control technologies and the adjustment characteristics of these resources. Based on the communication latency and control requirements during adjustable resource access, and according to the unified access scheduling architecture, the access requirements for these resources are determined as follows: A scheduling architecture comprising three levels—network dispatch, provincial dispatch, and local dispatch—is constructed, and data communication connections are established through wide area service proxies, message transmission mechanisms, and communication buses to obtain the unified access scheduling architecture for multiple adjustable resources. Based on the information interaction requirements of these resources and in conjunction with communication technology selection analysis, a multi-timescale adjustable resource pool is constructed. Based on the unified access scheduling architecture and the multi-timescale adjustable resource pool, the access requirements for these resources at different voltage levels are determined.

[0140] In this optional embodiment, the source-load-storage multi-element adjustable resource topology that takes into account regulation characteristics includes: the source-side adjustable resources are in the form of wireless or optical fiber and are connected to the corresponding communication network or user according to the voltage level; the load-side adjustable resources are regulated and controlled by the load regulation system; and the energy storage-side adjustable resources are controlled by the monitoring system of the energy storage power station.

[0141] In this optional embodiment, the objective function of the overall cost and regulation performance priority model includes: minimizing overall cost and maximizing regulation performance; overall cost includes: operating costs of conventional units, energy storage equipment, and new energy sources, user load regulation costs, and environmental costs; regulation performance includes: adjustable capacity range, ramp rate, response time, and regulation mileage.

[0142] In this optional embodiment, the constraints of the comprehensive cost and regulation performance priority model include unit operation constraints, unit ramp-up constraints, new energy unit output constraints, pumped storage operation constraints, electric energy storage operation constraints, various load-side resource constraints, and power balance constraints.

[0143] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 8 As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores static and dynamic information data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0144] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device to which the present invention is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0145] In addition, the present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0146] In addition, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0147] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0148] This invention is not limited to the structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this invention is limited only by the appended claims.

Claims

1. A source-load-storage multi-resource access regulation method, characterized in that, The method comprises the following steps: Obtaining adjustable resources of source, load and storage by analyzing the adjustment mechanism of the adjustable resources to obtain the adjustment characteristics of the adjustable resources of source, load and storage; Based on information communication and automatic control technology, the adjustment characteristics of the adjustable resources of source, load and storage are combined to construct a unified access scheduling architecture of the adjustable resources of source, load and storage; Based on the communication delay and control requirements when the adjustable resources access, and according to the unified access scheduling architecture of the adjustable resources of source, load and storage, the access requirements of the adjustable resources of source, load and storage are determined; According to the access requirements of the adjustable resources of source, load and storage, the topological structure of the adjustable resources of source, load and storage considering the adjustment characteristics is constructed, and a comprehensive cost and adjustment performance priority model is established based on the topological structure of the adjustable resources of source, load and storage. The optimal adjustment amount of each adjustable resource of source, load and storage is obtained by solving the comprehensive cost and adjustment performance priority model by using a multi-objective particle swarm optimization algorithm.

2. The method of claim 1, wherein, The adjustable resource data of source, load and storage includes source-side adjustable resources, load-side adjustable resources and storage-side adjustable resources; The source-side adjustable resources include thermal power units, hydroelectric units, wind power units, photovoltaic power stations, photo-thermal power stations and nuclear power; The load-side adjustable resources are load resources in the power system which have technical conditions and participate in grid dispatching; The storage-side adjustable resources include electric energy storage systems and pumped storage power stations.

3. The method of claim 1, wherein, The unified access scheduling architecture of the adjustable resources of source, load and storage is constructed based on information communication and automatic control technology, and combined with the adjustment characteristics of the adjustable resources of source, load and storage; Based on the communication delay and control requirements when the adjustable resources access, and according to the unified access scheduling architecture of the adjustable resources of source, load and storage, the access requirements of the adjustable resources of source, load and storage are determined, which includes: A scheduling architecture including three levels of grid dispatching, provincial dispatching and local dispatching is constructed, and data communication connection is established through wide-area service agent, message transmission mechanism and communication bus to obtain the unified access scheduling architecture of the adjustable resources of source, load and storage; According to the information interaction requirements of the adjustable resources of source, load and storage, and combined with communication technology selection analysis, a multi-time scale adjustable resource pool is constructed; According to the unified access scheduling architecture of the adjustable resources of source, load and storage and the multi-time scale adjustable resource pool, the access requirements of the adjustable resources of source, load and storage under different voltage levels are determined.

4. The method of claim 3, wherein, The access requirements of the adjustable resources of source, load and storage include access mode, communication mode, communication protocol and control path.

5. The method of claim 3, wherein the step of determining the access control parameter comprises: determining the access control parameter according to the source, the load, and the storage. The multi-time scale adjustable resource pool includes public communication mode and fusion local multi-media communication network communication mode.

6. The method of claim 2, wherein, The topological structure of the adjustable resources of source, load and storage considering the adjustment characteristics includes: The source-side adjustable resources adopt wireless or optical fiber form and access corresponding communication network or user according to voltage level; The load-side adjustable resources are adjusted and controlled through load regulation system; The storage-side adjustable resources are controlled through the monitoring system of the energy storage power station.

7. The method of claim 1, wherein, The objective function of the comprehensive cost and adjustment performance priority model includes minimizing the comprehensive cost and maximizing the adjustment performance; The comprehensive cost includes the operation cost of conventional units, energy storage devices, new energy, user load adjustment cost and environmental cost; The regulation performance includes: adjustable capacity range, ramp rate, response time and regulation mileage.

8. The method of claim 1, wherein, The constraints of the comprehensive cost and regulation performance priority model include unit operation constraints, unit ramp constraints, new energy unit output constraints, pumped storage operation constraints, electrical energy storage operation constraints, various load side resource constraints and power balance constraints.

9. The method of claim 7, wherein the step of determining the access control parameter comprises: determining the access control parameter based on the source-destination pair. The objective function expression of the comprehensive cost and regulation performance priority model is: In the formula, minC represents an objective function of minimizing the comprehensive cost, maxf represents an objective function of maximizing the regulation performance, C represents the comprehensive operation cost of the power system; C G,t represents the operation cost of the unit, E,t represents the operation cost of the energy storage device, R,t represents the operation cost of the new energy unit, L,t represents the user load regulation cost, N,t represents the environmental cost, f represents a quantitative value of the regulation performance of the power system, f R,t represents a weighted converted value of the adjustable capacity range, S,t represents a weighted converted value of the ramp rate, T,t represents a weighted converted value of the response time, M,t represents a weighted converted value of the regulation mileage, T represents a time period, and t represents a time.

10. A source-load-storage multi-resource access regulation system, characterized in that, It comprises: The regulation characteristic analysis module is configured to obtain adjustable resources of the source, load and storage, and obtain regulation characteristics of the adjustable resources of the source, load and storage by analyzing regulation mechanisms of the adjustable resources. The access demand determination module is configured to construct a unified access scheduling architecture of the source, load and storage multi-element adjustable resources based on information communication and automatic control technology and in combination with the regulation characteristics of the adjustable resources of the source, load and storage. The access demand determination module is configured to determine access demands of the source, load and storage multi-element adjustable resources based on communication time delay and control requirements when the adjustable resources are accessed and according to the unified access scheduling architecture of the source, load and storage multi-element adjustable resources. The optimal regulation amount calculation module is configured to construct a topology structure of the source, load and storage multi-element adjustable resources considering regulation characteristics according to the access demands of the source, load and storage multi-element adjustable resources, establish a comprehensive cost and regulation performance priority model based on the topology structure of the source, load and storage multi-element adjustable resources, solve the comprehensive cost and regulation performance priority model by a multi-objective particle swarm optimization algorithm, and obtain optimal regulation amounts of the adjustable resources of the source, load and storage.

11. The source-load storage multi-resource access regulation system according to claim 10, characterized in that, The access demand determination module is configured to determine access demands of the source, load and storage multi-element adjustable resources based on communication time delay and control requirements when the adjustable resources are accessed and according to the unified access scheduling architecture of the source, load and storage multi-element adjustable resources. The access demand determination module is configured to determine access demands of the source, load and storage multi-element adjustable resources based on communication time delay and control requirements when the adjustable resources are accessed and according to the unified access scheduling architecture of the source, load and storage multi-element adjustable resources. The access demand determination module is configured to determine access demands of the source, load and storage multi-element adjustable resources based on communication time delay and control requirements when the adjustable resources are accessed and according to the unified access scheduling architecture of the source, load and storage multi-element adjustable resources. The access demand determination module is configured to determine access demands of the source, load and storage multi-element adjustable resources based on communication time delay and control requirements when the adjustable resources are accessed and according to the unified access scheduling architecture of the source, load and storage multi-element adjustable resources. The topology structure of the source, load and storage multi-element adjustable resources considering regulation characteristics includes:

12. The source-load storage multi-resource access regulation system of claim 11, wherein, The source side adjustable resources adopt a wireless or optical fiber form and are accessed to a corresponding communication network or user according to voltage levels; The load side adjustable resources are adjusted and controlled through a load regulation and control system; The energy storage side adjustable resources are controlled through a monitoring system of an energy storage power station. The objective function of the comprehensive cost and regulation performance priority model includes: minimizing comprehensive cost and maximizing regulation performance; 13. The source-load storage multi-resource access regulation system of claim 10, wherein, The comprehensive cost includes: operation cost of conventional units, energy storage devices and new energy, user load regulation cost and environmental cost; The regulation performance includes: adjustable capacity range, ramp rate, response time and regulation mileage. ​ 14. The source-load-storage multi-resource access regulation system of claim 10, wherein, The constraints of the integrated cost and regulation performance priority model include unit operation constraints, unit ramping constraints, new energy unit output constraints, pumped storage operation constraints, electrical energy storage operation constraints, various load side resource constraints, and power balance constraints.

15. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 9.

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

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