Energy resource adjustment method of power grid, storage medium and electronic equipment

Abstract

The invention discloses an energy resource adjustment method of a power grid, a storage medium and electronic equipment. The method relates to the technical field of energy management and optimization adjustment, and comprises the following steps: acquiring an energy resource information set; obtaining a plurality of standard adjustment potential indexes based on the energy resource information set; obtaining leveling adjustment cost corresponding to each of the plurality of energy resources; obtaining a current adjustment demand of the target power grid; determining an objective function of the current adjustment demand based on the plurality of standard adjustment potential indexes and the leveling adjustment cost corresponding to each of the plurality of energy resources; and performing energy resource adjustment optimization on the target power grid by taking the minimum function value of the target function as an optimization target to obtain a target energy resource adjustment strategy of the target power grid. According to the invention, the technical problems of low energy resource adjustment efficiency and high adjustment cost caused by incomplete consideration of various energy resources are solved.

Description

Technical Field

[0001] This invention relates to the field of energy management and optimization technology, and more specifically, to a method for regulating energy resources in a power grid, a storage medium, and an electronic device. Background Technology

[0002] As the world's reliance on renewable energy deepens, especially with the rapid expansion of wind and solar power, the operation of power systems faces unprecedented challenges. These challenges primarily stem from the intermittency and uncertainty of renewable energy generation, leading to a significant increase in the randomness and volatility of both supply and demand. To ensure the safe and stable operation of the power system and improve its capacity to absorb renewable energy, the grid's need for rapid and flexible resource regulation has become extremely urgent. On the other hand, a large amount of existing infrastructure such as thermal power plants, combined heat and power (CHP), and district heating mainly provides power and heat to fixed loads, with relatively rigid operating modes, and their potential regulation capabilities have not been fully explored and utilized. For example, CHP units typically generate heat while generating electricity, but this synchronous production mode limits their flexible regulation capabilities within the power system; district coal-fired or gas-fired boilers are mainly used for winter heating, but may be idle or operate inefficiently in summer, also indicating untapped regulation potential. The significant shortcomings of related technologies in energy resource regulation methods are mainly reflected in the following aspects:

[0003] Most methods in related technologies are limited to the internal workings of the power system, lacking a unified description and modeling of the regulation capabilities of other energy sources such as heat, cooling, and gas, thus failing to achieve cross-energy-source collaborative optimization. Dispatch strategies are coarse-grained; without unified evaluation standards, power dispatching systems struggle to efficiently and accurately select the most suitable resource combinations in different application scenarios (such as peak shaving, peak regulation, and reserve). Regulation strategies in related technologies are often oversimplified, failing to fully utilize the diverse regulatory potential of available resources. The value of upgrading existing facilities is neglected; most related technologies focus on newly added distributed resources while rarely considering the flexible upgrading of existing equipment such as thermal power and combined heat and power plants to improve their regulation capabilities while reducing regulation costs. Multi-energy flow coupling modeling is weak; related technologies do not adequately consider the coupling relationships and dynamic characteristics between multi-energy flow systems such as electricity, heat, and cooling, failing to accurately quantify the regulation potential of existing facilities at different time scales. Cost calculations often rely on a single dimension. When assessing the cost of regulating resources, levelized cost methods in related technologies tend to consider only a single cost indicator, neglecting diversified cost and benefit factors such as retrofitting investments, downtime losses, fuel savings, carbon emission reductions, and subsidies. This results in an incomplete assessment of regulation costs and insufficient basis for decision-making. Although energy resource regulation methods in related technologies can provide a certain degree of power balance and support under normal circumstances, when facing large-scale energy resources, the inadequate consideration of multiple energy resources leads to low efficiency and high costs in energy resource regulation.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This invention provides a method for regulating energy resources in a power grid, a storage medium, and an electronic device, to at least solve the technical problem of low efficiency and high cost of energy resource regulation caused by insufficient consideration of multiple energy resources.

[0006] According to one aspect of the present invention, a method for regulating energy resources in a power grid is provided, comprising: acquiring an energy resource information set, wherein the energy resource information set includes technical parameters, operating boundaries, and retrofitting characteristic parameters corresponding to various energy resources, the various energy resources including newly added distributed resources and existing retrofitted resources, newly added distributed resources representing energy facilities newly deployed in the current time period, existing retrofitted resources representing energy facilities obtained by retrofitting existing energy facilities before the current time period, and operating boundaries representing the condition limits for energy resources to operate normally and provide regulation services; and obtaining multiple standard regulation potential indicators based on the energy resource information set, wherein the multiple standard regulation potential indicators correspond one-to-one with the various energy resources. The standard regulation potential index is used to quantify the regulation capacity of the corresponding energy resources; the levelized regulation cost corresponding to each of the various energy resources is obtained, where the levelized regulation cost represents the average cost of the corresponding energy resource participating in grid regulation within a preset number of years of use; the current regulation demand of the target grid is obtained, where the current regulation demand includes at least the regulation type, the expected energy to be obtained from the various energy resources, and the expected regulation duration; based on multiple standard regulation potential indices and the levelized regulation cost corresponding to each of the various energy resources, the objective function of the current regulation demand is determined; with the minimum function value of the objective function as the optimization objective, the energy resource regulation of the target grid is optimized to obtain the target energy resource regulation strategy of the target grid.

[0007] According to another aspect of the present invention, an energy resource regulation device for a power grid is also provided, comprising: an energy resource information set acquisition module, configured to acquire an energy resource information set, wherein the energy resource information set includes technical parameters, operating boundaries, and modification characteristic parameters corresponding to various energy resources, the various energy resources including newly added distributed resources and existing modified resources, newly added distributed resources representing newly deployed energy facilities in the current time period, existing modified resources representing energy facilities obtained by modifying existing energy facilities before the current time period, and operating boundaries representing the condition limits for normal operation and provision of regulation services of energy resources; and a multiple standard regulation potential index determination module, configured to obtain multiple standard regulation potential indices based on the energy resource information set, wherein the multiple standard regulation potential indices correspond one-to-one with the various energy resources, and the standard regulation potential indices are used for quantitative... The system comprises: a regulation capacity corresponding to the energy resources; multiple levelized regulation cost determination modules to obtain the levelized regulation costs corresponding to various energy resources, where the levelized regulation cost represents the average cost of the corresponding energy resource participating in grid regulation within a preset number of years of use; a current regulation demand acquisition module to obtain the current regulation demand of the target grid, where the current regulation demand includes at least the regulation type, the expected energy to be obtained from various energy resources, and the expected regulation duration; an objective function determination module to determine the objective function of the current regulation demand based on multiple standard regulation potential indicators and the levelized regulation costs corresponding to various energy resources; and a target energy resource regulation strategy determination module to optimize the energy resource regulation of the target grid with the minimum function value as the optimization objective, thereby obtaining the target energy resource regulation strategy of the target grid.

[0008] According to another aspect of the present invention, a non-volatile storage medium is also provided, the non-volatile storage medium storing a plurality of instructions adapted for loading by a processor and executing any one of the power grid energy resource regulation methods described herein.

[0009] According to another aspect of the present invention, an electronic device is also provided, including one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement any one of the power grid energy resource regulation methods.

[0010] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the steps of the power grid energy resource regulation method described in any one of the present invention.

[0011] In this embodiment of the invention, an energy resource information set is obtained, which includes technical parameters, operating boundaries, and modification characteristic parameters corresponding to various energy resources. These various energy resources include newly added distributed resources and existing modified resources. Newly added distributed resources represent newly deployed energy facilities in the current time period, while existing modified resources represent energy facilities obtained by modifying existing energy facilities from before the current time period. The operating boundary represents the condition limits for the normal operation and regulation services provided by the energy resources. Based on the energy resource information set, multiple standard regulation potential indicators are obtained, each corresponding one-to-one with a different energy resource. These standard regulation potential indicators are used to quantify the regulation capacity of the corresponding energy resource. The levelized regulation cost corresponding to each of the various energy resources is obtained, where the levelized regulation cost represents the average cost of the corresponding energy resource participating in grid regulation within a preset number of years of use. The current regulation of the target grid is obtained. The regulation demand is determined by considering at least the regulation type, the expected energy obtained from various energy resources, and the expected duration of regulation. Based on multiple standard regulation potential indicators and the levelized regulation costs corresponding to each energy resource, an objective function for the current regulation demand is determined. The goal is to minimize the function value of the objective function and optimize the energy resource regulation of the target power grid, thereby obtaining the target energy resource regulation strategy. This achieves the technical effect of improving energy resource regulation efficiency and reducing regulation costs, thus solving the technical problem of low energy resource regulation efficiency and high regulation costs caused by incomplete consideration of multiple energy resources. Attached Figure Description

[0012] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0013] Figure 1 This is a flowchart of an energy resource regulation method for a power grid according to an embodiment of the present invention;

[0014] Figure 2 This is a schematic diagram of an optional target adjustment cost sequence according to an embodiment of the present invention;

[0015] Figure 3 This is a flowchart of an optional energy resource regulation method for a power grid according to an embodiment of the present invention;

[0016] Figure 4This is a schematic diagram of an energy resource regulation device for a power grid according to an embodiment of the present invention. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0018] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0019] According to an embodiment of the present invention, a method for regulating energy resources of a power grid is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0020] Figure 1 This is a flowchart of a power grid energy resource regulation method according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0021] Step S102: Obtain an energy resource information set, which includes technical parameters, operating boundaries, and transformation characteristic parameters corresponding to various energy resources. The various energy resources include newly added distributed resources and existing transformed resources. Newly added distributed resources refer to energy facilities newly deployed in the current period, and existing transformed resources refer to energy facilities obtained by transforming existing energy facilities before the current period. The operating boundary refers to the condition limits for energy resources to operate normally and provide regulation services.

[0022] Optionally, by collecting information on available energy resources, including technical parameters, operating boundaries, and retrofitting characteristics, a comprehensive information set can be created, covering both newly deployed and upgraded energy facilities. Building this energy resource information set is fundamental to achieving intelligent, efficient, and safe grid regulation services, providing data support for the dynamic management and optimized regulation of energy resources.

[0023] In one optional embodiment, acquiring an energy resource information set includes: obtaining the technical parameters, operating boundaries, and modification characteristic parameters of any energy resource in the following ways: acquiring the technical parameters of any energy resource, wherein the technical parameters include at least: rated power, energy storage capacity, energy conversion efficiency, thermal capacity, response adjustment time, and power adjustment rate; acquiring the operating boundaries of any energy resource, wherein the operating boundaries include at least: charging state upper limit threshold, charging state lower limit threshold, temperature upper limit threshold, temperature lower limit threshold, time from operation stop to operation restart, and upper limit threshold for the number of times any energy resource can be adjusted within a predetermined time; acquiring the modification characteristic parameters of any energy resource, wherein the modification characteristic parameters... It includes at least: marginal cost of modification, modification window period, and post-modification performance improvement coefficient. The marginal cost of modification represents the additional cost incurred for each additional predetermined unit of modification when upgrading any energy resource. The modification window period represents the time period within a predetermined time frame suitable for modifying any energy resource. The post-modification performance improvement coefficient is used to measure the degree of performance improvement of any energy resource after modification compared to before modification. By obtaining the technical parameters, operating boundaries, and modification characteristic parameters of any energy resource, the corresponding technical parameters, operating boundaries, and modification characteristic parameters of various energy resources are obtained. Based on the corresponding technical parameters, operating boundaries, and modification characteristic parameters of various energy resources, an energy resource information set is obtained.

[0024] Optionally, firstly, by collecting the technical parameters of each energy resource, the basic performance and function of the energy resources can be understood. Next, defining the operating boundaries of each energy resource ensures that it participates in grid regulation safely and reliably, avoiding exceeding its limits. Finally, for existing resources undergoing retrofitting, collecting their retrofitting characteristic parameters provides a solid foundation for assessing the rationality and technical feasibility of retrofitting projects, and also quantifies the added value brought by the retrofitting. Integrating this information from multiple energy resources forms an energy resource information set containing details of newly added distributed resources and existing retrofitted resources. By clearly recording the characteristics, capabilities, and limitations of all available energy resources, the precise customization of regulation strategies and the efficient utilization of energy resources can be promoted.

[0025] Step S104: Based on the energy resource information set, multiple standard regulation potential indicators are obtained. Each standard regulation potential indicator corresponds to a different energy resource. The standard regulation potential indicators are used to quantify the regulation capacity of the corresponding energy resources.

[0026] Optionally, based on a comprehensive collection of energy resource information, the regulation capacity of various energy resources can be transformed into a unified and comparable indicator system, namely, standard regulation potential indicators. The establishment of standard regulation potential indicators quantifies the regulation capacity of different types and technologies of energy resources, facilitating comparison and evaluation under a unified standard. This allows for more accurate identification of which energy resources are best suited to current regulation needs, enabling better selection among various energy resources and improving regulation efficiency.

[0027] In an optional embodiment, when multiple standard regulation potential indicators include a first standard regulation potential indicator and a second standard regulation potential indicator, multiple standard regulation potential indicators are obtained based on an energy resource information set, including: dividing multiple energy resources to obtain a first energy resource and a second energy resource, wherein the first energy resource represents an energy resource whose response time does not exceed a preset response time among multiple energy resources, and the second energy resource represents an energy resource whose response time exceeds the preset response time among multiple energy resources; obtaining a first standard regulation potential indicator based on the first energy resource, wherein the first standard regulation potential indicator includes at least the rated power and energy storage capacity of the first energy resource; and obtaining a second standard regulation potential indicator based on the second energy resource, wherein the second standard regulation potential indicator includes at least an equivalent regulation power parameter, and the second standard regulation potential indicator is obtained based on the technical parameters of the second energy resource and the operating boundary of the second energy resource.

[0028] Optionally, firstly, energy resources are categorized into two main types based on their response and adjustment time: primary energy resources and secondary energy resources. Primary energy resources refer to fast-response resources that can quickly respond to grid dispatch demands within a short period (within a preset response time), including but not limited to battery storage, electric vehicles, and gas generators with rapid start-stop capabilities. Secondary energy resources, on the other hand, are slow-response or inertial resources with longer response times (exceeding the preset response time), including but not limited to building thermal inertia, district heating systems, and energy storage facilities in industrial production processes. Next, different standard adjustment potential indicators are defined for these two types of resources. For primary energy resources, their rated power and energy storage capacity are directly used as measures of adjustment capability, as these resources are characterized by their ability to rapidly adjust output power or energy storage status to adapt to short-term changes in power supply and demand. For secondary energy resources, a more complex equivalent adjustment power parameter is used to characterize their adjustment capability. This parameter needs to be derived by combining the energy resource's technical parameters (including but not limited to heat capacity, cold capacity, and maximum temperature variation) and operating boundaries (including but not limited to upper and lower temperature limits and depth of charge and discharge) to reflect the amount of adjustment services the resource can provide over a longer timescale. By differentiating resources with different response speeds and assigning corresponding regulation potential indicators, energy resources and demand can be matched more accurately, promoting the complementary use of different types of resources, thereby improving regulation efficiency and cost advantages.

[0029] In one optional embodiment, a second standard regulation potential index is obtained based on the second energy resource, including: obtaining the equivalent regulation power parameter based on the second energy resource in the following manner:

[0030] ;

[0031] in, Indicates the equivalent regulating power parameter. Indicates the heat capacity of the secondary energy resource. This represents the temperature change of the second energy resource, which is derived from the upper and lower temperature thresholds of the second energy resource. This indicates the response and adjustment time of the secondary energy resource. This indicates the energy conversion efficiency of the secondary energy resource.

[0032] Optionally, since the response time of secondary energy resources is relatively long, their regulation capacity cannot be directly described by rated power and capacity. Therefore, the concept of equivalent regulation power parameters is introduced, and these parameters are converted into adjustable virtual power and capacity indicators through formulas. This not only reveals the true regulation potential of secondary energy resources but also allows them to participate in the flexible regulation of the power grid alongside primary energy resources. By transforming the regulation potential of secondary energy resources into dispatchable virtual indicators, the range of energy resources that can participate in power grid regulation can be greatly broadened.

[0033] Step S106: Obtain the levelized adjustment cost corresponding to each of the various energy resources, wherein the levelized adjustment cost represents the average cost of the corresponding energy resource participating in grid regulation within a preset number of years of use.

[0034] Optionally, by calculating the average cost of each energy resource participating in grid regulation services during its expected lifespan, i.e., the levelized regulation cost, it is possible to standardize the assessment of regulation service costs for various energy resources throughout their entire life cycle, which helps to make the most cost-effective energy resource regulation decisions when facing diverse regulation demands.

[0035] In one optional embodiment, obtaining the levelized adjustment cost corresponding to each of the multiple energy resources includes: obtaining the levelized adjustment cost of any energy resource in the following manner:

[0036] ;

[0037] in, This represents the levelized adjustment cost of any energy resource. This represents the investment cost of any energy resource in any given year. This represents the operating and maintenance cost of any energy resource in any given year. This represents the opportunity cost of any energy resource in any given year. This represents the energy savings achieved by any energy resource in any given year. This represents the carbon emission reduction benefit of any energy resource in any given year. This represents the subsidy revenue for any energy resource in any given year. This represents the amount of effective regulation services provided by any energy resource in any given year. denoted by the preset discount rate, n represents the preset number of years of use for any energy resource, and i represents the index of any year; by using the method of obtaining the levelized adjustment cost of any energy resource, the levelized adjustment costs corresponding to each of the various energy resources are obtained.

[0038] Optionally, the cost of participating in grid regulation using levelized adjustment costs (LAPs) can be comprehensively assessed. The formula for calculating LAPs considers the entire lifecycle costs and benefits of energy resources, including investment costs, operation and maintenance costs, opportunity costs (other benefits forgone or additional costs incurred due to participation in regulation), energy savings (such as fuel cost savings through thermoelectric decoupling), carbon emission reduction benefits (based on carbon trading market value), subsidy benefits, and the amount of effective regulation services provided. By discounting these future years' costs and benefits to the present, LAPs can fairly evaluate the average cost of regulation resources at different time and spatial scales, allowing for comparison of various energy resources on the same scale. Energy resources with lower LAPs imply higher efficiency and can therefore be preferentially selected for grid regulation.

[0039] Step S108: Obtain the current regulation demand of the target power grid, wherein the current regulation demand includes at least the regulation type, the energy expected to be obtained from various energy resources, and the expected regulation duration.

[0040] Optionally, the immediate regulation needs of the target power grid can be specified. Regulation type refers to the specific type of regulation service currently required by the power grid, including but not limited to frequency control, voltage support, peak load supply, and peak shaving (i.e., reducing electricity demand during peak load periods or increasing demand during off-peak periods). The expected energy to be obtained from various energy resources depends on the real-time operating status of the power grid and the predicted load curve. The expected regulation duration refers to the length of time the power grid needs to provide regulation services, which can range from a few seconds to several hours. Different types of regulation needs will have different duration requirements; for example, frequency response may only require a few seconds, while peak shaving services may require several hours. By accurately collecting current regulation demand information, demand and supply can be matched more precisely, avoiding over-regulation or under-regulation, and ensuring the safe and stable operation of the power grid.

[0041] Step S110: Based on multiple standard regulation potential indicators and the levelized regulation costs corresponding to various energy resources, determine the objective function of the current regulation demand.

[0042] Optionally, based on the collected standard regulation potential indicators of various energy resources and the corresponding levelized regulation costs of each energy resource, an objective function is constructed to select the optimal combination of energy resources to meet the current regulation needs of the power grid. This objective function not only optimizes energy resource regulation strategies, ensuring that regulation is carried out at a lower cost while meeting the grid's flexibility requirements, but also effectively promotes the efficient utilization of energy resources and the low-cost operation of the power grid.

[0043] In one optional embodiment, the objective function for determining the current regulation demand is determined based on multiple standard regulation potential indicators and the levelized regulation costs corresponding to each of the various energy resources. This includes: obtaining target energy resources based on multiple standard regulation potential indicators and the levelized regulation costs corresponding to each of the various energy resources, wherein the target energy resources represent a predetermined number of energy resources selected from the various energy resources that match the current regulation demand; and determining the objective function based on the target energy resources.

[0044] Optionally, firstly, by combining the standard regulation potential indicators and levelized regulation costs corresponding to various energy resources, one or more energy resources that match the current grid regulation needs are selected from among the various energy resources; these are the target energy resources. The target energy resources not only possess the ability to meet regulation needs but also provide the required regulation services at a low regulation cost. The selection of target energy resources ensures that the regulation strategy directly targets the current regulation needs, reducing the indiscriminate use of energy resources. Next, based on these target energy resources, an objective function is constructed. This objective function is used to select the most cost-effective and efficient combination of energy resources while meeting the current grid regulation needs, thereby enabling more precise, low-cost, and efficient energy resource regulation of the target grid.

[0045] In an optional embodiment, when there are multiple target energy resources, a target function is determined based on the target energy resources, including: determining the target regulation cost corresponding to each of the multiple target energy resources, wherein the target regulation cost represents the cost of the corresponding target energy resource participating in the target power grid regulation under the current regulation demand; determining the preset weight of the target regulation cost corresponding to each; and performing a weighted summation operation on the target regulation cost corresponding to each and the preset weight of the target regulation cost corresponding to each to obtain the target function.

[0046] Optionally, firstly, the target regulation cost for each target energy resource under the current regulation demand is calculated separately. The target regulation cost reflects the regulation cost of the energy resource under the current regulation demand of the target power grid. Specifically, the target regulation costs corresponding to the multiple target energy resources can be sorted to obtain a target regulation cost sequence. Energy resources with lower target regulation costs in the sequence are assigned higher weights, indicating that these energy resources will be prioritized during regulation; while energy resources with higher target regulation costs are assigned lower weights and are considered less frequently during regulation. Figure 2This is a schematic diagram of an optional target regulation cost sequence according to an embodiment of the present invention. The diagram shows the results of sorting different energy resources (cooling and air conditioning, industrial and commercial energy storage facilities, electric vehicles, and interruptible loads) according to their target regulation costs. The horizontal axis uses unit regulation equivalent cost as a metric, representing the cost per unit (per megawatt, MW) of regulation capacity. Regulation equivalent can be understood as the amount of regulation service provided by an energy resource within a certain period of time. The smaller the unit regulation equivalent cost value on the horizontal axis, the lower the unit cost of the energy resource at that position when providing regulation services.

[0047] For example, taking the decoupling retrofit of a combined heat and power (CHP) unit A in a certain region (such as a city) as an example, the calculation and adjustment process of the target regulation cost is explained. Assume that unit A originally had a rated power of 300 MW and a heating power of 200 MW. The retrofit plan involves an investment of 15 million yuan to install a 50 MW electrode boiler and a 200 MWh thermal storage tank. After the retrofit, it will provide 50 MW of peak-shaving capacity for 4 hours during the evening peak (i.e., reducing power generation by 200 MWh). Assume that the remaining lifespan of unit A is 15 years and the discount rate is 8%. The target regulation cost of unit A can be calculated as follows: Assuming the investment cost is 15 million yuan, the operation and maintenance cost is 150,000 yuan / year, with a present value of approximately 1.28 million yuan, and the opportunity cost (15 days of downtime for retrofit) is a loss of power generation revenue of approximately 4.5 million yuan, then the present value of the total cost is approximately 15 million + 1.28 million + 4.5 million = 20.78 million yuan. Of the present value of the benefits (as a negative cost), the fuel saving benefit (after the renovation, the use of electrode boilers for heating and storage during off-peak hours, replacing part of the natural gas, is expected to save 800,000 yuan annually) is approximately 6.84 million yuan. The carbon emission reduction benefit (annual carbon reduction of 1,000 tons, carbon price of 50 yuan / ton, annual benefit of 50,000 yuan) is approximately 430,000 yuan. The peak shaving benefit (expected to participate in peak shaving 100 times per year, 200 MWh each time, clearing average price of 0.5 yuan / MWh, annual benefit of 10 million yuan) is approximately 85.5 million yuan. The subsidy includes a one-time subsidy of 3 million yuan for flexibility renovation. The total present value of the benefits is calculated to be approximately 6.84 + 43 + 85.5 million + 3 million = 95.77 million yuan. The target adjustment cost can then be calculated as: (20.78 - 95.77) / (200 MWh / time). 100 times / year (15 years) ≈ -0.025 yuan / MWh. The calculation results show that the target regulation cost is negative, indicating that the retrofit project can not only recover its costs over its entire life cycle but also generate significant net profits. In energy resource prioritization, this cogeneration decoupling unit will have an extremely low target regulation cost, placing it at the highest priority among all target energy resources. When peak-shaving demand arises, this unit will be prioritized, followed by other target energy resources with positive target regulation costs.

[0048] Next, a preset weight is assigned to the target adjustment cost of each target energy resource. This weight reflects the relative importance and priority of the energy resource in the adjustment decision, allowing for flexible adjustment strategies to adapt to different operating conditions. By weighted summing of multiple target adjustment costs and their respective weights, the cost and importance of all energy resources can be comprehensively considered, resulting in the objective function. The value of this objective function reflects the total expected adjustment cost, i.e., the total expected cost of multiple target energy resources under the current adjustment demand. The total expected adjustment cost can be obtained as follows: L = Where L represents the total expected adjustment cost, This represents the target adjustment cost of any target energy resource. The preset weight represents the target adjustment cost of any target energy resource, where i represents the index of any target energy resource and n represents the quantity of the target energy resource.

[0049] Step S112: With the goal of minimizing the function value of the objective function, optimize the energy resource regulation of the target power grid to obtain the target energy resource regulation strategy of the target power grid.

[0050] Optionally, optimizing the energy resource regulation of the target power grid with the minimum function value of the objective function as the optimization objective means finding a set of optimal energy resource regulation strategies in the regulation decision-making process to minimize the total regulation cost, thereby enabling flexible and efficient use of energy resources and fully leveraging the regulation potential of various energy resources under different time scales and regulation needs.

[0051] In one optional embodiment, the target power grid is optimized for energy resource regulation with the objective function value being minimized, resulting in a target energy resource regulation strategy for the target power grid. This includes: determining preset constraints, which at least include the target power grid transmitting electricity not exceeding the rated capacity of the transmission lines and the supply and demand of heat not exceeding a preset balance range when regulating thermal energy resources; and determining the target energy resource regulation strategy from multiple initial energy resource regulation strategies based on the preset constraints and with the objective function value being minimized.

[0052] Optionally, optimizing energy resource regulation of the target power grid with the minimum objective function value as the optimization objective is a process of finding the optimal energy resource scheduling strategy under preset constraints. This ensures that energy resource regulation can be achieved at the lowest cost while meeting the safe operation and technical requirements of the power grid. Among all possible initial energy resource regulation strategies, the strategy that satisfies the preset constraints and minimizes the objective function value is selected. This process can utilize optimization algorithms, including but not limited to mixed integer programming and genetic algorithms, to solve for the objective function. The final target energy resource regulation strategy specifies in detail the usage of each energy resource, including but not limited to the start time, stop time, regulation amount, and regulation direction of any energy resource, to ensure that the total cost of energy resource regulation is minimized while achieving efficient utilization of energy resources.

[0053] Through the above steps S102 to S112, the goal of determining the target energy resource regulation strategy can be achieved by acquiring energy resource information sets, multiple standard regulation potential indicators, and the levelized regulation costs corresponding to each of the various energy resources, with the optimization objective being to minimize the function value of the objective function of the current regulation demand of the target power grid. This results in improving the regulation efficiency of energy resources and reducing regulation costs, thereby solving the technical problem of low energy resource regulation efficiency and high regulation costs caused by insufficient consideration of various energy resources.

[0054] Based on the above embodiments and optional embodiments, the present invention proposes an optional implementation method. Figure 3 This is a flowchart of an optional power grid energy resource regulation method according to an embodiment of the present invention, such as... Figure 3 As shown, the method includes:

[0055] S1: Perform unified resource modeling, which is the process of acquiring energy resource information set. Establish an information set (basic resource library) that comprehensively covers newly added distributed resources and existing transformed resources (multi-energy type resources), and acquire the technical parameters, operating boundaries, transformation characteristic parameters and adjustment cost parameters (including but not limited to operating costs, opportunity costs, fuel saving benefits, carbon emission reduction benefits, and subsidies) of each type of energy resource in the information set. Among them, multi-energy type resources include but are not limited to energy storage systems, electric vehicles, cold and heat storage, and interruptible loads. The specific implementation process is the same as the aforementioned embodiments, and will not be repeated here.

[0056] S2: Capacity quantification mapping, which involves determining multiple standard regulation potential indicators and acquiring the current regulation demand of the target power grid, unifies the regulation potential of various energy resources under standardized indicators to facilitate comparisons between different resources. This process involves calculating the regulation equivalent for resources with different response times. By calculating the standard regulation potential indicators for various energy resources, for fast-response resources (first energy resource), the regulation equivalent is directly determined by its rated power and storage capacity. For slow-response resources (second energy resource), the available regulation equivalent needs to be calculated using equivalent regulation power parameters. Next, the scenario demand mapping process refers to converting the current regulation demand of the target power grid (including but not limited to peak-shaving demand, frequency regulation demand, reserve demand, and technical requirements) into specific demands for corresponding energy resources. The standardization process ensures that all energy resources can be compared under the same benchmark; the specific implementation process is the same as in the aforementioned embodiments and will not be repeated here.

[0057] S3: The process of benchmarking regulation costs, i.e., determining the levelized regulation cost, involves identifying target energy resources based on current regulation needs, thereby determining the target regulation cost. The calculation of unit regulation cost refers to the cost per unit of regulation equivalent. By calculating the unit regulation cost, the cost required to provide a unit of regulation service for each energy resource can be intuitively understood. The regulation cost comparison process is conducted based on the calculation of the target regulation cost and the determination of the unit regulation cost. Its goal is to rank different energy resources according to their cost efficiency, forming a target regulation cost sequence. The process of obtaining a cost parameter library provides data support for the levelized regulation cost calculation and the target regulation cost. The cost parameter library includes, but is not limited to, investment costs, operation and maintenance costs, lifetime parameters (used to assess the ability of energy resources to maintain a predetermined performance level throughout their lifespan), and degradation models (assessing the health status and remaining lifetime of energy resources at a predetermined future time). The specific implementation process is the same as in the aforementioned embodiments and will not be repeated here.

[0058] S4: Scenario-based optimization decision-making, namely the objective function determination process and the energy resource regulation optimization of the target power grid to obtain the target energy resource regulation strategy. The cost ranking process involves sorting multiple target energy resources according to the target regulation cost of the regulation services they provide, with lower-cost energy resources having higher priority, guiding the weights in the objective function. The optimal resource combination process needs to consider the complementarity and synergy among multiple target energy resources to achieve the goal of minimizing overall cost. Once the optimal resource combination is determined, specific scheduling instructions (target energy resource regulation strategies) are generated, specifying which energy resources should be regulated when, at what intensity, and for what duration. The scheduling execution and feedback process includes issuing regulation instructions to the corresponding energy resource control center, which executes the specific regulation actions. After executing the target energy resource regulation strategy, the regulation results are monitored in real time, and real-time data feedback (including but not limited to regulation accuracy, response time, and actual cost) is collected. The results are compared with the expected target to evaluate the regulation effect and assess the effectiveness and cost of the target energy resource regulation strategy. If a large deviation from the expected target is found, model optimization (adjusting the objective function) is performed to improve subsequent regulation decisions. The specific implementation process is the same as in the previous embodiments and will not be repeated here.

[0059] This embodiment can achieve at least one of the following effects: First, it opens up a new path for the appreciation of existing assets, systematically connecting technologies such as thermal-electric decoupling and thermal storage / cooling retrofitting with grid regulation needs for the first time, providing traditional thermal power and heating companies with a clear transformation, upgrading, and profit model, and greatly expanding the source boundaries of flexible resources; Second, it realizes the monetization assessment of energy system inertia, transforming previously unmanageable physical characteristics such as building thermal inertia and pipeline thermal delay into quantifiable, priced, and dispatchable virtual resources through equivalent energy storage, representing a major innovation in resource concepts; Third, it enhances the scientific rigor and forward-looking nature of regulation cost assessment, fully internalizing the proposed energy resource levelization regulation cost with rule / standard setting and market trends (carbon revenue, fuel savings), making the assessment results more reflective of the project's true value and providing strong support for investment decisions and rule / standard setting; Fourth, it enhances the system's collaborative optimization capabilities, achieving a leap from "single power system optimization" to "comprehensive energy system collaborative optimization of electricity-heat-cooling," significantly improving the operational efficiency of the entire energy system and the capacity for renewable energy absorption.

[0060] This embodiment also provides an energy resource regulation device for a power grid, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the terms "module" and "device" can refer to a combination of software and / or hardware that performs a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0061] According to an embodiment of the present invention, an apparatus embodiment for implementing the above-described energy resource regulation method for a power grid is also provided. Figure 4 This is a schematic diagram of the structure of an energy resource regulation device for a power grid according to an embodiment of the present invention, as shown below. Figure 4 As shown, the energy resource regulation device of the aforementioned power grid includes: an energy resource information set acquisition module 400, a multiple standard regulation potential index determination module 402, a multiple levelized regulation cost determination module 404, a current regulation demand acquisition module 406, an objective function determination module 408, and a target energy resource regulation strategy determination module 410, wherein:

[0062] The energy resource information set acquisition module 400 is used to acquire the energy resource information set, which includes the technical parameters, operating boundaries and transformation characteristic parameters corresponding to various energy resources. The various energy resources include newly added distributed resources and existing transformed resources. Newly added distributed resources refer to energy facilities newly deployed in the current period, and existing transformed resources refer to energy facilities obtained by transforming existing energy facilities before the current period. The operating boundary refers to the condition limits for the normal operation of energy resources and the provision of regulation services.

[0063] The module 402 for determining multiple standard regulation potential indicators is connected to the energy resource information set acquisition module 400. It is used to obtain multiple standard regulation potential indicators based on the energy resource information set. The multiple standard regulation potential indicators correspond one-to-one with multiple energy resources. The standard regulation potential indicators are used to quantify the regulation capacity of the corresponding energy resources.

[0064] Multiple levelized regulation cost determination modules 404 are connected to multiple standard regulation potential index determination modules 402, and are used to obtain the levelized regulation cost corresponding to each of the various energy resources. The levelized regulation cost represents the average cost of the corresponding energy resource participating in grid regulation within a preset number of years of use.

[0065] The current regulation demand acquisition module 406 is connected to multiple levelized regulation cost determination modules 404 and is used to acquire the current regulation demand of the target power grid. The current regulation demand includes at least the regulation type, the energy expected to be obtained from multiple energy resources, and the expected regulation duration.

[0066] The objective function determination module 408 is connected to the current regulation demand acquisition module 406. It is used to determine the objective function of the current regulation demand based on multiple standard regulation potential indicators and the levelized regulation costs corresponding to various energy resources.

[0067] The target energy resource regulation strategy determination module 410 is connected to the objective function determination module 408. It is used to optimize the energy resource regulation of the target power grid with the minimum function value of the objective function as the optimization objective, so as to obtain the target energy resource regulation strategy of the target power grid.

[0068] Optionally, the energy resource information acquisition module includes: any energy resource information acquisition submodule, used to obtain the technical parameters, operating boundaries, and modification characteristic parameters of any energy resource in the following ways: acquiring the technical parameters of any energy resource, wherein the technical parameters include at least: rated power, energy storage capacity, energy conversion efficiency, heat capacity, response adjustment time, and power adjustment rate; acquiring the operating boundaries of any energy resource, wherein the operating boundaries include at least: charging state upper limit threshold, charging state lower limit threshold, temperature upper limit threshold, temperature lower limit threshold, time from operation stop to operation restart, and upper limit threshold for the number of times any energy resource can be adjusted within a predetermined time; acquiring the modification characteristic parameters of any energy resource, wherein the modification characteristic parameters include at least: modification marginal cost The module comprises three sub-modules: a modification window period and a post-modification performance improvement coefficient. The modification marginal cost represents the additional cost incurred for each additional unit of modification when upgrading any energy resource. The modification window period represents the suitable time period within a predetermined timeframe for modifying any energy resource. The post-modification performance improvement coefficient measures the degree of performance improvement of any energy resource after modification compared to before modification. A multi-energy resource information acquisition sub-module obtains the corresponding technical parameters, operating boundaries, and modification characteristic parameters for each of the various energy resources by acquiring the technical parameters, operating boundaries, and modification characteristic parameters of any given energy resource. An energy resource information set determination sub-module obtains the energy resource information set based on the corresponding technical parameters, operating boundaries, and modification characteristic parameters for each of the various energy resources.

[0069] Optionally, when multiple standard regulation potential indicators include a first standard regulation potential indicator and a second standard regulation potential indicator, the multiple standard regulation potential indicator determination module includes: a first energy resource and a second energy resource determination submodule, used to divide multiple energy resources to obtain a first energy resource and a second energy resource, wherein the first energy resource represents the energy resource whose response time does not exceed a preset response time among multiple energy resources, and the second energy resource represents the energy resource whose response time exceeds the preset response time among multiple energy resources; a first standard regulation potential indicator determination submodule, used to obtain a first standard regulation potential indicator based on the first energy resource, wherein the first standard regulation potential indicator includes at least the rated power and energy storage capacity of the first energy resource; and a second standard regulation potential indicator determination submodule, used to obtain a second standard regulation potential indicator based on the second energy resource, wherein the second standard regulation potential indicator includes at least an equivalent regulation power parameter, and the second standard regulation potential indicator is obtained based on the technical parameters of the second energy resource and the operating boundary of the second energy resource.

[0070] Optionally, the second standard regulation potential index determination submodule includes: an equivalent regulation power parameter determination unit, used to obtain the equivalent regulation power parameter based on the second energy resource in the following manner:

[0071] ;

[0072] in, Indicates the equivalent regulating power parameter. Indicates the heat capacity of the secondary energy resource. This represents the temperature change of the second energy resource, which is derived from the upper and lower temperature thresholds of the second energy resource. This indicates the response and adjustment time of the secondary energy resource. This indicates the energy conversion efficiency of the secondary energy resource.

[0073] Optionally, multiple levelization adjustment cost determination modules include: any levelization adjustment cost determination submodule, used to obtain the levelization adjustment cost of any energy resource in the following manner:

[0074] ;

[0075] in, This represents the levelized adjustment cost of any energy resource. This represents the investment cost of any energy resource in any given year. This represents the operating and maintenance cost of any energy resource in any given year. This represents the opportunity cost of any energy resource in any given year. This represents the energy savings achieved by any energy resource in any given year. This represents the carbon emission reduction benefit of any energy resource in any given year. This represents the subsidy revenue for any energy resource in any given year. This represents the amount of effective regulation services provided by any energy resource in any given year. The preset discount rate is represented by n, the preset number of years of use for any energy resource is represented by i, and the index of any year is represented by i. Multiple levelized adjustment cost determination submodules are used to obtain the levelized adjustment costs corresponding to each of the various energy resources by using the method of obtaining the levelized adjustment cost of any energy resource.

[0076] Optionally, the objective function determination module includes: a target energy resource determination submodule, used to obtain target energy resources based on multiple standard regulation potential indicators and the levelized regulation costs corresponding to each of the multiple energy resources, wherein the target energy resources represent a predetermined number of energy resources selected from the multiple energy resources that match the current regulation demand; and an objective function determination submodule, used to determine the objective function based on the target energy resources.

[0077] Optionally, when there are multiple target energy resources, the objective function determination submodule includes: a target regulation cost determination unit, used to determine the target regulation cost corresponding to each of the multiple target energy resources, wherein the target regulation cost represents the cost of the corresponding target energy resource participating in the target power grid regulation under the current regulation demand; multiple preset weight determination units, used to determine the preset weights of the target regulation costs corresponding to each; and an objective function determination unit, used to perform a weighted summation operation on the corresponding target regulation costs and their corresponding preset weights to obtain the objective function.

[0078] Optionally, a preset constraint determination submodule is used to determine preset constraints, which include at least the target power grid transmission power not exceeding the rated capacity of the transmission line and the supply and demand of heat not exceeding a preset balance range when regulating thermal energy resources; and a target energy resource regulation strategy determination submodule is used to determine the target energy resource regulation strategy from multiple initial energy resource regulation strategies based on the preset constraints and with the minimum function value of the objective function as the optimization objective.

[0079] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0080] It should be noted that the aforementioned energy resource information acquisition module 400, multiple standard regulation potential indicator determination module 402, multiple levelized regulation cost determination module 404, current regulation demand acquisition module 406, objective function determination module 408, and target energy resource regulation strategy determination module 410 correspond to steps S102 to S112 in the embodiments. The instances and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the content disclosed in the above embodiments. It should be noted that the above modules, as part of the device, can run on a computer terminal.

[0081] It should be noted that the optional or preferred implementation methods of this embodiment can be found in the relevant descriptions in the embodiments, and will not be repeated here.

[0082] The aforementioned power grid energy resource regulation device may also include a processor and a memory. The aforementioned energy resource information set acquisition module 400, multiple standard regulation potential index determination module 402, multiple levelized regulation cost determination module 404, current regulation demand acquisition module 406, objective function determination module 408, and target energy resource regulation strategy determination module 410 are all stored in the memory as program modules. The processor executes the aforementioned program modules stored in the memory to realize the corresponding functions.

[0083] The processor contains a core that retrieves the corresponding program modules from memory. One or more cores may be configured. Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip.

[0084] According to an embodiment of this application, an embodiment of a non-volatile storage medium is also provided. Optionally, in this embodiment, the non-volatile storage medium includes a stored program, wherein, when the program runs, it controls the device containing the non-volatile storage medium to execute any of the aforementioned power grid energy resource regulation methods.

[0085] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals, and the non-volatile storage medium includes stored programs.

[0086] Optionally, during program execution, the device containing the non-volatile storage medium may be controlled to perform the following functions: acquire an energy resource information set, wherein the energy resource information set includes technical parameters, operating boundaries, and modification characteristic parameters corresponding to various energy resources. These various energy resources include newly added distributed resources and existing modified resources. Newly added distributed resources represent newly deployed energy facilities in the current time period, while existing modified resources represent energy facilities obtained by modifying existing energy facilities from before the current time period. Operating boundaries represent the conditional limits for normal operation and provision of regulation services by energy resources. Based on the energy resource information set, multiple standard regulation potential indicators are obtained, wherein each standard regulation potential indicator corresponds one-to-one with a different energy resource. Standard regulation potential indicators are used to quantify the regulation capacity of corresponding energy resources; the levelized regulation cost corresponding to each of the various energy resources is obtained, where the levelized regulation cost represents the average cost of the corresponding energy resource participating in grid regulation within a preset number of years of use; the current regulation demand of the target grid is obtained, where the current regulation demand includes at least the regulation type, the expected energy to be obtained from the various energy resources, and the expected duration of regulation; based on multiple standard regulation potential indicators and the levelized regulation cost corresponding to each of the various energy resources, the objective function of the current regulation demand is determined; with the minimum function value of the objective function as the optimization objective, the energy resource regulation of the target grid is optimized to obtain the target energy resource regulation strategy of the target grid.

[0087] According to an embodiment of this application, an embodiment of a processor is also provided. Optionally, in this embodiment, the processor is used to run a program, wherein the program executes any of the above-described power grid energy resource regulation methods.

[0088] According to an embodiment of this application, an embodiment of a computer program product is also provided. Optionally, in this embodiment, the computer program product includes a computer program that, when executed by a processor, implements the steps of any of the above-described power grid energy resource regulation method.

[0089] Optionally, when the aforementioned computer program product is executed on a data processing device, it is suitable to execute an initialization program with the following method steps: acquiring an energy resource information set, wherein the energy resource information set includes technical parameters, operating boundaries, and modification characteristic parameters corresponding to various energy resources, the various energy resources include newly added distributed resources and existing modified resources, newly added distributed resources represent energy facilities newly deployed in the current period, existing modified resources represent energy facilities obtained by modifying existing energy facilities before the current period, and operating boundaries represent the condition limits for energy resources to operate normally and provide regulation services; based on the energy resource information set, obtaining multiple standard regulation potential indicators, wherein the multiple standard regulation potential indicators are related to various energy resources. One-to-one correspondence between resources is established, and standard regulation potential indicators are used to quantify the regulation capacity of corresponding energy resources. The levelized adjustment cost (LAP) for each of the various energy resources is obtained, where the LAP represents the average cost of the corresponding energy resource participating in grid regulation over a preset number of years of use. The current regulation demand of the target grid is obtained, including at least the regulation type, the expected energy to be obtained from the various energy resources, and the expected duration of regulation. Based on multiple standard regulation potential indicators and the LAP for each of the various energy resources, an objective function for the current regulation demand is determined. With minimizing the function value of the objective function as the optimization objective, energy resource regulation optimization is performed on the target grid to obtain the target energy resource regulation strategy for the target grid.

[0090] This invention provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs the following steps: acquiring an energy resource information set, wherein the energy resource information set includes technical parameters, operating boundaries, and modification characteristic parameters corresponding to various energy resources. These various energy resources include newly added distributed resources and existing modified resources. Newly added distributed resources represent newly deployed energy facilities in the current time period, and existing modified resources represent energy facilities obtained by modifying existing energy facilities from before the current time period. The operating boundary represents the condition limits for the normal operation and provision of regulation services by energy resources. Based on the energy resource information set, multiple standard regulation potential indicators are obtained, wherein the multiple standard regulation potential indicators... The regulation potential indicators are mapped one-to-one with various energy resources, and the standard regulation potential indicators are used to quantify the regulation capacity of the corresponding energy resources. The levelized adjustment cost (LAP) for each of the various energy resources is obtained, where the LAP represents the average cost of the corresponding energy resource participating in grid regulation within a preset number of years of use. The current regulation demand of the target grid is obtained, which includes at least the regulation type, the expected energy to be obtained from the various energy resources, and the expected duration of regulation. Based on multiple standard regulation potential indicators and the LAP for each of the various energy resources, the objective function for the current regulation demand is determined. With minimizing the function value of the objective function as the optimization objective, energy resource regulation optimization is performed on the target grid to obtain the target energy resource regulation strategy for the target grid.

[0091] The order of the above embodiments of the present invention is merely for description and does not represent the superiority or inferiority of the embodiments.

[0092] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0093] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of modules described above can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between modules, and may be electrical or other forms.

[0094] The modules described above as separate components may or may not be physically separate. Similarly, the components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple modules. Some or all of the modules can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0095] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0096] If the aforementioned integrated modules are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable non-volatile storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a non-volatile storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned non-volatile storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0097] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for regulating energy resources in a power grid, characterized in that, include: Acquire an energy resource information set, wherein the energy resource information set includes technical parameters, operating boundaries and transformation characteristic parameters corresponding to various energy resources, the various energy resources include newly added distributed resources and existing transformed resources, the newly added distributed resources refer to energy facilities newly deployed in the current period, the existing transformed resources refer to energy facilities obtained by transforming existing energy facilities before the current period, and the operating boundary refers to the condition limits for energy resources to operate normally and provide regulation services. Based on the energy resource information set, multiple standard regulation potential indicators are obtained, wherein each of the multiple standard regulation potential indicators corresponds one-to-one with the multiple energy resources, and the standard regulation potential indicators are used to quantify the regulation capacity of the corresponding energy resources. Obtain the levelized regulation cost corresponding to each of the various energy resources, wherein the levelized regulation cost represents the average cost of the corresponding energy resource participating in grid regulation within a preset number of years of use; Obtain the current regulation demand of the target power grid, wherein the current regulation demand includes regulation type, expected energy to be obtained from the various energy resources, and expected regulation duration; Based on the multiple standard regulation potential indicators and the levelized regulation costs corresponding to each of the various energy resources, the objective function of the current regulation demand is determined. With the goal of minimizing the function value of the objective function, the energy resource regulation of the target power grid is optimized to obtain the target energy resource regulation strategy of the target power grid.

2. The method according to claim 1, characterized in that, The acquisition of the energy resource information set includes: The technical parameters, operational boundaries, and modification characteristic parameters of any energy resource can be obtained in the following way: The technical parameters of any of the energy resources are obtained, wherein the technical parameters include: rated power, energy storage capacity, energy conversion efficiency, heat capacity, response adjustment time and power adjustment rate; Obtain the operating boundary of any of the energy resources, wherein the operating boundary includes: a charging state upper limit threshold, a charging state lower limit threshold, a temperature upper limit threshold, a temperature lower limit threshold, the time from operation stop to operation restart, and a maximum threshold for the number of times the energy resource can be adjusted within a predetermined time. Obtain the modification characteristic parameters of any energy resource, wherein the modification characteristic parameters include: modification marginal cost, modification window period, and post-modification performance improvement coefficient. The modification marginal cost represents the additional cost added for each predetermined unit of modification content when the energy resource is modified and upgraded. The modification window period represents the time period suitable for modifying the energy resource within a predetermined time period. The post-modification performance improvement coefficient is used to measure the degree of performance improvement of the modified energy resource compared to the original state. By using the method of obtaining the technical parameters, operating boundaries, and modification characteristic parameters of any one of the energy resources, the corresponding technical parameters, operating boundaries, and modification characteristic parameters of various energy resources can be obtained; The energy resource information set is obtained based on the technical parameters, operational boundaries, and modification characteristic parameters corresponding to each of the various energy resources.

3. The method according to claim 1, characterized in that, When the plurality of standard regulation potential indicators include a first standard regulation potential indicator and a second standard regulation potential indicator, the plurality of standard regulation potential indicators obtained based on the energy resource information set include: The various energy resources are divided into a first energy resource and a second energy resource. The first energy resource refers to the energy resource whose response time does not exceed a preset response time among the various energy resources, and the second energy resource refers to the energy resource whose response time exceeds the preset response time among the various energy resources. Based on the first energy resource, the first standard regulation potential index is obtained, wherein the first standard regulation potential index includes the rated power of the first energy resource and the energy storage capacity of the first energy resource. Based on the second energy resource, the second standard regulation potential index is obtained, wherein the second standard regulation potential index includes the equivalent regulation power parameter, and the second standard regulation potential index is obtained based on the technical parameters of the second energy resource and the operating boundary of the second energy resource.

4. The method according to claim 3, characterized in that, The second standard regulation potential index, obtained based on the second energy resource, includes: Based on the second energy resource, the equivalent regulating power parameters are obtained in the following manner: ； in, This represents the equivalent adjustable power parameter. This indicates the heat capacity of the second energy resource. This represents the temperature change of the second energy resource, which is obtained based on the upper and lower temperature thresholds of the second energy resource. This indicates the response adjustment time of the second energy resource. This indicates the energy conversion efficiency of the second energy resource.

5. The method according to claim 1, characterized in that, The process of obtaining the levelized adjustment costs corresponding to each of the various energy resources includes: The levelized adjustment cost of any energy resource can be obtained as follows: ； in, This represents the levelized adjustment cost of any of the energy resources mentioned. This represents the investment cost of any one of the energy resources in any given year. This represents the operating and maintenance cost of any energy resource in any given year. This represents the opportunity cost of any energy resource in any given year. This represents the energy savings achieved by any of the stated energy resources in any given year. This represents the carbon emission reduction benefit of any energy resource in any given year. This represents the subsidy revenue for any of the energy resources in any given year. This represents the amount of effective regulation services provided by any of the energy resources in any given year. The value represents the preset discount rate, n represents the preset number of years of use for any energy resource, and i represents the index of any year. The levelized adjustment cost corresponding to each of the various energy resources is obtained by using the method of obtaining the levelized adjustment cost of any one of the energy resources.

6. The method according to claim 1, characterized in that, The objective function for determining the current regulation demand based on the multiple standard regulation potential indicators and the levelized regulation costs corresponding to each of the various energy resources includes: Based on the multiple standard regulation potential indicators and the levelized regulation costs corresponding to each of the multiple energy resources, a target energy resource is obtained, wherein the target energy resource represents a predetermined number of energy resources selected from the multiple energy resources that match the current regulation demand; Based on the target energy resources, the objective function is determined.

7. The method according to claim 6, characterized in that, When there are multiple target energy resources, determining the objective function based on the target energy resources includes: Determine the target regulation cost for each of the multiple target energy resources, wherein the target regulation cost represents the cost for the corresponding target energy resource to participate in the target power grid regulation under the current regulation demand; Determine the preset weights of the respective target adjustment costs; The objective function is obtained by performing a weighted summation operation on the respective target adjustment costs and their respective preset weights.

8. The method according to claim 1, characterized in that, The optimization objective is to minimize the function value of the objective function, and the energy resource regulation optimization is performed on the target power grid to obtain the target energy resource regulation strategy for the target power grid, including: The preset constraints are determined, including that the power transmitted by the target power grid does not exceed the rated capacity of the transmission line, and that the supply and demand of heat do not exceed a preset balance range when adjusting heat energy resources. Based on the preset constraints, with the goal of minimizing the function value of the objective function, the target energy resource regulation strategy is determined from multiple initial energy resource regulation strategies.

9. An energy resource regulation device for a power grid, characterized in that, include: An energy resource information set acquisition module is used to acquire an energy resource information set, wherein the energy resource information set includes technical parameters, operating boundaries, and transformation characteristic parameters corresponding to various energy resources. The various energy resources include newly added distributed resources and existing transformed resources. The newly added distributed resources refer to energy facilities newly deployed in the current period, and the existing transformed resources refer to energy facilities obtained by transforming existing energy facilities before the current period. The operating boundary refers to the condition limits for the normal operation of energy resources and the provision of regulation services. A module for determining multiple standard regulation potential indicators is used to obtain multiple standard regulation potential indicators based on the energy resource information set. The multiple standard regulation potential indicators correspond one-to-one with the multiple energy resources, and the standard regulation potential indicators are used to quantify the regulation capacity of the corresponding energy resources. Multiple levelized regulation cost determination modules are used to obtain the levelized regulation cost corresponding to each of the various energy resources, wherein the levelized regulation cost represents the average cost of the corresponding energy resource participating in grid regulation within a preset number of years of use; The current regulation demand acquisition module is used to acquire the current regulation demand of the target power grid, wherein the current regulation demand includes regulation type, expected energy to be obtained from the various energy resources, and expected regulation duration; The objective function determination module is used to determine the objective function of the current regulation demand based on the multiple standard regulation potential indicators and the levelized regulation costs corresponding to each of the multiple energy resources. The target energy resource regulation strategy determination module is used to optimize the energy resource regulation of the target power grid with the minimum function value of the objective function as the optimization objective, and obtain the target energy resource regulation strategy of the target power grid.

10. The apparatus according to claim 9, characterized in that, The energy resource information acquisition module includes: Any energy resource information acquisition submodule is used to obtain the technical parameters, operating boundaries, and modification characteristic parameters of any energy resource in the following ways: The technical parameters of any of the energy resources are obtained, wherein the technical parameters include: rated power, energy storage capacity, energy conversion efficiency, heat capacity, response adjustment time and power adjustment rate; Obtain the operating boundary of any of the energy resources, wherein the operating boundary includes: a charging state upper limit threshold, a charging state lower limit threshold, a temperature upper limit threshold, a temperature lower limit threshold, the time from operation stop to operation restart, and a maximum threshold for the number of times the energy resource can be adjusted within a predetermined time. Obtain the modification characteristic parameters of any energy resource, wherein the modification characteristic parameters include: modification marginal cost, modification window period, and post-modification performance improvement coefficient. The modification marginal cost represents the additional cost added for each predetermined unit of modification content when the energy resource is modified and upgraded. The modification window period represents the time period suitable for modifying the energy resource within a predetermined time period. The post-modification performance improvement coefficient is used to measure the degree of performance improvement of the modified energy resource compared to the original state. The multi-energy resource information acquisition submodule is used to obtain the technical parameters, operating boundaries, and modification characteristic parameters of each of the multiple energy resources by obtaining the technical parameters, operating boundaries, and modification characteristic parameters of any one of the energy resources. The energy resource information set determination submodule is used to obtain the energy resource information set based on the technical parameters, operating boundaries, and modification characteristic parameters corresponding to the various energy resources.

11. The apparatus according to claim 9, characterized in that, When the plurality of standard adjustment potential indicators include a first standard adjustment potential indicator and a second standard adjustment potential indicator, the plurality of standard adjustment potential indicator determination module includes: The first energy resource and second energy resource determination submodule is used to divide the multiple energy resources to obtain the first energy resource and the second energy resource. The first energy resource refers to the energy resource whose response time does not exceed the preset response time among the multiple energy resources, and the second energy resource refers to the energy resource whose response time exceeds the preset response time among the multiple energy resources. The first standard regulation potential index determination submodule is used to obtain the first standard regulation potential index based on the first energy resource, wherein the first standard regulation potential index includes the rated power of the first energy resource and the energy storage capacity of the first energy resource. The second standard regulation potential index determination submodule is used to obtain the second standard regulation potential index based on the second energy resource. The second standard regulation potential index includes the equivalent regulation power parameter and is obtained based on the technical parameters of the second energy resource and the operating boundary of the second energy resource.

12. The apparatus according to claim 11, characterized in that, The second standard adjustment potential index determination submodule includes: The equivalent regulating power parameter determination unit is used to obtain the equivalent regulating power parameter based on the second energy resource in the following manner: ； in, This represents the equivalent adjustable power parameter. This indicates the heat capacity of the second energy resource. This represents the temperature change of the second energy resource, which is obtained based on the upper and lower temperature thresholds of the second energy resource. This indicates the response adjustment time of the second energy resource. This indicates the energy conversion efficiency of the second energy resource.

13. The apparatus according to claim 9, characterized in that, The plurality of leveling adjustment cost determination modules include: Any levelized adjustment cost determination submodule is used to obtain the levelized adjustment cost of any energy resource in the following manner: ； in, This represents the levelized adjustment cost of any of the energy resources mentioned. This represents the investment cost of any energy resource in any given year. This represents the operating and maintenance cost of any energy resource in any given year. This represents the opportunity cost of any energy resource in any given year. This represents the energy savings achieved by any of the stated energy resources in any given year. This represents the carbon emission reduction benefit of any energy resource in any given year. This represents the subsidy revenue for any of the energy resources in any given year. This represents the amount of effective regulation services provided by any of the energy resources in any given year. The value represents the preset discount rate, n represents the preset number of years of use for any energy resource, and i represents the index of any year. Multiple levelized adjustment cost determination submodules are used to obtain the levelized adjustment costs corresponding to each of the multiple energy resources by using the method of obtaining the levelized adjustment cost of any one of the energy resources.

14. The apparatus according to claim 9, characterized in that, The objective function determination module includes: The target energy resource determination submodule is used to obtain target energy resources based on the multiple standard regulation potential indicators and the levelized regulation costs corresponding to each of the multiple energy resources, wherein the target energy resources represent a predetermined number of energy resources selected from the multiple energy resources that match the current regulation demand; The objective function determination submodule is used to determine the objective function based on the target energy resource.

15. The apparatus according to claim 14, characterized in that, When there are multiple target energy resources, the objective function determination submodule includes: The target regulation cost determination unit is used to determine the target regulation cost corresponding to each of multiple target energy resources, wherein the target regulation cost represents the cost of the corresponding target energy resource participating in the target power grid regulation under the current regulation demand. Multiple preset weight determination units are used to determine the preset weights of the target adjustment costs corresponding to each unit. The objective function determination unit is used to perform a weighted summation operation on the respective corresponding objective adjustment costs and the preset weights of the respective corresponding objective adjustment costs to obtain the objective function.

16. The apparatus according to claim 9, characterized in that, The target energy resource regulation strategy determination module includes: The preset constraint determination submodule is used to determine preset constraints, which include the target power grid transmission power not exceeding the rated capacity of the transmission line and the supply and demand of heat not exceeding a preset balance range when adjusting thermal energy resources. The target energy resource regulation strategy determination submodule is used to determine the target energy resource regulation strategy from multiple initial energy resource regulation strategies based on the preset constraints and with the minimum function value of the objective function as the optimization objective.

17. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores multiple instructions, which are adapted to be loaded by a processor and executed by the power grid energy resource regulation method according to any one of claims 1 to 8.

18. An electronic device, characterized in that, It includes one or more processors and a memory, the memory being used to store one or more programs for execution, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement the energy resource regulation method for the power grid as described in any one of claims 1 to 8.

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