An energy management method based on a new energy storage quality evaluation index on the source network and load side

Abstract

The application provides an energy management method based on a source network load side new energy storage quality evaluation index, relates to the technical field of energy storage scheme planning, and comprises the following steps: obtaining a multi-dimensional consumption evaluation index of a source network load side new energy storage of an energy management scheme to be evaluated; obtaining a multi-dimensional operation benefit evaluation index based on a source network load side new energy storage multi-dimensional evaluation index model; establishing a source network load side new energy storage quality evaluation index according to the multi-dimensional consumption evaluation index and the operation benefit evaluation index; and predicting the feasibility of a current energy management scheme based on the source network load side new energy storage quality evaluation index. The application can realize more comprehensive and reliable energy storage analysis.

Description

Technical Field

[0001] This invention relates to the field of energy storage scheme planning technology, and more specifically, to an energy management method based on a novel energy storage quality evaluation index on the source-grid-load side. Background Technology

[0002] New energy storage can be integrated into multiple application scenarios of power system generation, transmission, distribution and use, and can be divided into grid-side energy storage (or independent energy storage), power source-side energy storage (including new energy distribution and storage and thermal power distribution and storage) and user-side energy storage.

[0003] In the current market environment, it is necessary to optimize the management and operation strategies of energy storage to improve the quality and cost-effectiveness of projects. Existing technologies mostly focus on the analysis of single energy storage technologies or specific application scenarios, lacking systematic research on the mechanisms of new energy storage on the source-grid-load side. At the same time, when analyzing energy storage solutions, existing technologies consider relatively singular factors, making it difficult to obtain accurate and reliable analytical results.

[0004] Therefore, it is necessary to optimize the methods of energy storage management and analysis to achieve more comprehensive and reliable energy storage analysis. Summary of the Invention

[0005] The purpose of this invention is to provide an energy management method based on a new energy storage quality evaluation index on the source-grid-load side, which enables more comprehensive and reliable energy storage analysis.

[0006] This invention is achieved through the following technical solution:

[0007] An energy management method based on a novel energy storage quality evaluation index on the source-grid-load side includes the following steps:

[0008] Obtain multi-dimensional consumption evaluation indicators for new energy storage on the generation, grid, and load sides of the energy management scheme to be evaluated. These multi-dimensional consumption evaluation indicators include: grid-side independent energy storage consumption evaluation indicators, including fixed consumption and variable consumption of grid-side independent energy storage; source-side new energy distribution and storage consumption evaluation indicators, obtained through power generation data collection; and load-side power user distribution and storage consumption evaluation indicators, obtained for both single-partition and two-partition users.

[0009] Based on the new multi-dimensional evaluation index model of energy storage on the source-grid-load side, multi-dimensional operation benefit evaluation indexes are obtained. The multi-dimensional operation benefit evaluation indexes include: grid-side independent energy storage operation benefit evaluation index, source-side new energy distribution and storage operation benefit evaluation index, and load-side power user distribution and storage operation benefit evaluation index.

[0010] Based on multidimensional consumption evaluation indicators and operational efficiency evaluation indicators, establish a new energy storage quality evaluation index for the source-grid-load side.

[0011] The feasibility of current energy management solutions can be predicted based on new energy storage quality evaluation indicators on the source-grid-load side.

[0012] Preferably, the grid-side independent energy storage variable consumption The method for obtaining it is as follows:

[0013] ;

[0014] in, Electricity consumption for charging Additional costs for market operations For overall charge / discharge conversion efficiency;

[0015] The grid-side independent energy storage fixed consumption The method for obtaining it is as follows:

[0016] ;

[0017] ;

[0018] ;

[0019] ;

[0020] ;

[0021] in, For capital consumption, Auxiliary parameters for loan repayment consumption. Rated discharge energy, The discount rate is... This is the year number for the operational period. Total number of years of operation Y represents the cost of repaying the loan, and Y is the loan term in years. For corporate income tax rates, Auxiliary parameters for operation and maintenance consumption. For maintenance costs, For depreciation consumption, To recover and consume auxiliary parameters, To recycle consumption, As an auxiliary parameter for tax rates, This refers to the value-added tax (VAT) rate.

[0022] Preferably, the source-side renewable energy distribution and storage consumption evaluation index The method for obtaining it is as follows:

[0023] ;

[0024] in, This is for new energy power generation.

[0025] Preferably, the method for obtaining the load-side power user distribution and storage consumption evaluation index is as follows:

[0026] If it is a single-user system, obtain the load-side power user's power distribution and storage consumption evaluation index. :

[0027] ;

[0028] in, Equivalent charge-discharge cycles per year;

[0029] If the user is on a two-part electricity supply system, the evaluation indicators for load-side power user distribution and storage consumption include distribution and storage change consumption. and fixed consumption of storage and distribution :

[0030] ;

[0031] ;

[0032] in, Rated power generation capacity, This is the amount consumed as required.

[0033] Preferably, the evaluation indicators for the operational benefits of the grid-side independent energy storage include:

[0034] Capacity leasing evaluation indicators :

[0035] ;

[0036] in, For capacity leasing ratio, The average rental price for independent energy storage capacity. Rated discharge energy;

[0037] Internet access evaluation indicators :

[0038] ;

[0039] in, For the revenue generated by the discharge of independently stored energy into the grid, The annual equivalent number of discharges for energy storage to participate in electricity trading;

[0040] Evaluation Indicators for Peak Shaving Ancillary Services Evaluation indicators for frequency modulation ancillary services :

[0041] ;

[0042] ;

[0043] in, To compensate units for peak-shaving services. The unit revenue for frequency regulation service compensation, where D is the average mileage of energy storage for each frequency regulation. This refers to the annual equivalent number of charging cycles during the peak-shaving operation of energy storage. The number of frequency regulation operations per year for energy storage. For overall charge / discharge conversion efficiency;

[0044] Capacity evaluation indicators :

[0045] ;

[0046] ;

[0047] ;

[0048] in, For independent energy storage capacity electricity price unit revenue, The annual available capacity factor for independent energy storage is given by h, which represents the number of continuous discharge hours at rated discharge power. Rated power generation capacity The equivalent number of charge-discharge cycles per year.

[0049] Preferably, the evaluation indicators for the operational efficiency of the source-side renewable energy distribution and storage system include:

[0050] Two detailed rules for assessing savings evaluation indicators :

[0051] ;

[0052] in, The reduction in new energy assessment points after allocation of storage;

[0053] Evaluation indicators of the increase in new energy grid connection :

[0054] ;

[0055] in, This is to increase the amount of renewable energy electricity connected to the grid after the allocation and storage. For the revenue of new energy grid-connected units;

[0056] Green Certificate Gain Evaluation Indicators :

[0057] ;

[0058] in, For the revenue of green certificate units;

[0059] Two detailed compensation evaluation indicators :

[0060] ;

[0061] in, This refers to the additional new energy compensation points after the allocation of storage.

[0062] Preferably, the evaluation indicators for the operational efficiency of load-side power users' distribution and storage systems include:

[0063] Electricity demand saving evaluation indicators :

[0064] ;

[0065] in, This represents the unit consumption of electricity demand. This represents the maximum reduction in electricity demand after the allocation and storage.

[0066] Peak electricity saving evaluation indicators :

[0067] ;

[0068] in, Electricity consumption per unit during peak electricity hours;

[0069] Subsidy evaluation indicators :

[0070] ;

[0071] in, and These refer to the peak-shaving revenue per unit and the valley-filling revenue per unit for user-side energy storage, respectively. and These represent the annual equivalent number of charge-discharge cycles for user-side energy storage to participate in peak shaving and valley filling responses, respectively.

[0072] Preferably, the method for establishing new energy storage quality evaluation indicators on the source-grid-load side includes:

[0073] Obtain the average annual return evaluation indicator F:

[0074] ;

[0075] ;

[0076] ;

[0077] in, For the evaluation index of operational efficiency in the nth operating period, Let A be the consumption evaluation index for the nth operating period, P be the present value, Y be the loan term, r be the discount rate, P(.) represent the capital recovery factor, and N be the total number of operating years.

[0078] Solve the following equation to obtain the dynamic payback period T:

[0079] ;

[0080] Solve the following equation to obtain the internal rate of return (IRR):

[0081] .

[0082] Preferably, the method for predicting the feasibility of current energy management schemes based on novel energy storage quality evaluation indicators on the source-grid-load side is as follows:

[0083] Determine whether the values ​​of the new energy storage quality evaluation indicators on the source-grid-load side are within the corresponding preset threshold range. If so, the current energy management scheme is feasible; otherwise, the current energy management scheme is adjusted.

[0084] Preferably, the method for adjusting the current energy management scheme includes:

[0085] Adjustments were made based on energy storage technology lines, consumption, and capacity; the construction of supporting long-term energy storage was adjusted; the scale of energy storage power was configured; energy storage was adjusted during low-electricity-price periods and power generation was adjusted during high-electricity-price periods; and the recycling and reuse of waste materials were adjusted.

[0086] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0087] This invention refines the various evaluation dimensions of energy storage device consumption, revenue, and effectiveness in traditional energy management by constructing a novel multi-dimensional consumption evaluation index and operation benefit evaluation index model covering the source, grid, and load sides. This enhances the completeness of the evaluation system and facilitates more scientific optimization.

[0088] This invention constructs an energy storage quality evaluation index by integrating multi-dimensional consumption and effect indicators. This index can quantify the operational quality of energy storage systems in energy management solutions and serve as a basis for predicting the feasibility of solutions, thereby providing a forward-looking and guiding assessment of energy storage configuration.

[0089] This invention constructs a novel energy storage mechanism model that fits the characteristics of different application scenarios on the source, grid, and load sides. It can quickly calculate the fixed consumption per unit capacity and the variable consumption per unit of electricity. It also constructs a novel multi-dimensional revenue quantification model for energy storage on the source, grid, and load sides that covers multiple revenue sources, and has higher accuracy and reliability.

[0090] This invention evaluates the cost-effectiveness of new energy storage projects on the source-grid-load side using indicators such as average annual return, dynamic investment payback period, and internal rate of return, which has guiding significance for project investment decisions in the market environment. Attached Figure Description

[0091] Figure 1 This is a flowchart illustrating the energy management method based on a novel energy storage quality evaluation index on the source-grid-load side provided in Embodiment 1 of the present invention.

[0092] Figure 2 This is a schematic diagram illustrating the principle of the energy management method based on a novel energy storage quality evaluation index on the source-grid-load side provided in Embodiment 1 of the present invention. Detailed Implementation

[0093] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0094] Example 1

[0095] This embodiment provides an energy management method based on a novel energy storage quality evaluation index on the source-grid-load side. (See reference...) Figure 1 This includes the following steps:

[0096] Step S1: Obtain multi-dimensional consumption evaluation indicators for new energy storage on the source, grid, and load sides of the energy management scheme to be evaluated; the multi-dimensional consumption evaluation indicators include: grid-side independent energy storage consumption evaluation indicators, including grid-side independent energy storage fixed consumption and grid-side independent energy storage variable consumption; source-side new energy distribution and storage consumption evaluation indicators, obtained by collecting power generation data; load-side power user distribution and storage consumption evaluation indicators, obtained for both single-system users and two-part system users.

[0097] The above scheme analyzes the cost mechanism of independent energy storage from both variable and fixed consumption perspectives when calculating the evaluation index of grid-side independent energy storage consumption. Variable consumption of grid-side independent energy storage is converted to the amount of electricity discharged to the grid by the independent energy storage, while fixed consumption is converted to the rated discharge energy of the energy storage. Details are as follows:

[0098] ;

[0099] ;

[0100] in:

[0101] ;

[0102] ;

[0103] In the formula, Let the variable cost be in year n. For the fixed cost in year n, For charging costs, For the cost of power loss, For grid-side independent energy storage fluctuations, Rated discharge energy, The number of equivalent charge-discharge cycles per year. For grid-side independent energy storage fixed consumption, For capital consumption, Expenses for loan repayment For maintenance costs, Consumed for tax purposes To recover what is consumed.

[0104] In light of the above, in this embodiment, the grid-side independent energy storage variable consumption... The method for obtaining it is as follows:

[0105] ;

[0106] At this electricity price level, the revenue from electricity sales just offsets the variable costs. Taxation primarily targets capacity charges, and the corresponding tax base is:

[0107] ;

[0108] ;

[0109] in, Electricity consumption for charging Additional costs for market operations The overall conversion efficiency for charging and discharging.

[0110] Therefore, the fixed consumption of the grid-side independent energy storage The method for obtaining it is as follows:

[0111] ;

[0112] ;

[0113] ;

[0114] ;

[0115] ;

[0116] in, For capital consumption, Auxiliary parameters for loan repayment consumption. Rated discharge energy, The discount rate is... This is the year number for the operational period. Total number of years of operation Y represents the cost of repaying the loan, and Y is the loan term in years. For corporate income tax rates, Auxiliary parameters for operation and maintenance consumption. For maintenance costs, For depreciation consumption, To recover and consume auxiliary parameters, To recycle consumption, As an auxiliary parameter for tax rates, This refers to the value-added tax (VAT) rate.

[0117] Grid-side independent energy storage variable consumption This reflects the precise quantification of energy conversion losses and the fixed consumption of grid-side independent energy storage. This reflects the total life cycle cost.

[0118] In this scheme, relatively independent energy storage means that the cost of renewable energy storage does not include variable costs such as charging costs and energy loss costs. Here, all costs are converted into renewable energy generation costs. (MWh), a performance evaluation index for the consumption of renewable energy in the source-side distribution and storage. The (yuan / kWh) is equivalent to the incremental on-grid tariff for new energy sources, which can be quantified. This yields the following expressions:

[0119] ;

[0120] ;

[0121] Therefore, it can be deduced that, as a preferred solution, the source-side renewable energy distribution and storage consumption evaluation index... The method for obtaining it is as follows:

[0122] ;

[0123] in, This is for new energy power generation.

[0124] Furthermore, the cost mechanisms of power distribution and storage differ significantly between single-unit and two-unit users, thus requiring categorization. The method for obtaining the evaluation indicators for load-side power user power distribution and storage consumption is as follows:

[0125] Specifically, charging costs for:

[0126] ;

[0127] Furthermore, the cost of energy storage and distribution is calculated on a single basis, uniformly converted into the amount of energy discharged by the energy storage, and then based on the energy storage and distribution consumption evaluation indicators of the load-side power users. have:

[0128] ;

[0129] ;

[0130] Based on this, it can be concluded that, for the single-user type, the evaluation index for the power distribution and storage consumption of the load-side power user should be obtained. :

[0131] ;

[0132] in, The equivalent number of charge-discharge cycles per year.

[0133] exist In the calculation, The item represents variable consumption. It is a fixed consumption.

[0134] If the user is on a two-part electricity supply system, the evaluation indicators for load-side power user distribution and storage consumption include distribution and storage change consumption. and fixed consumption of storage and distribution The situation is as follows:

[0135] Firstly, for users on a two-part electricity plan with stable power consumption, installing energy storage for charging during off-peak hours may increase peak demand, resulting in demand consumption. :

[0136] ;

[0137] in, Electricity consumption per unit of demand for power users (yuan / kW·month). This represents the maximum increase in electricity demand (MW) after the power storage is distributed; if there is no increase in maximum demand, then it is 0.

[0138] The cost of energy storage and distribution is also calculated using a two-part system, with demand costs included in fixed costs. Variable costs are converted into the amount of energy discharged from storage, forming the variable consumption of energy storage and distribution. (RMB / kWh), converting fixed costs to the rated generating capacity of energy storage, forming the fixed consumption of energy storage and distribution. (Yuan / kW·month), determined using the operating period pricing method, yields the following:

[0139] ;

[0140] ;

[0141] ;

[0142] ;

[0143] Based on the above, we can obtain the consumption from changes in storage allocation. and fixed consumption of storage and distribution The method is as follows:

[0144] ;

[0145] ;

[0146] in, This is the rated power generation capacity.

[0147] The evaluation indicators for the operational benefits of grid-side independent energy storage are obtained as follows:

[0148] This embodiment also obtains multi-dimensional operational benefit evaluation indicators based on the new energy storage multi-dimensional evaluation index model of the source-grid-load side. The multi-dimensional operational benefit evaluation indicators include: grid-side independent energy storage operational benefit evaluation indicators, source-side new energy distribution and storage operational benefit evaluation indicators, and load-side power user distribution and storage operational benefit evaluation indicators.

[0149] The evaluation indicators for the operational benefits of grid-side independent energy storage include:

[0150] Low-density, high-renewable-use pricing and ancillary service revenue will incentivize new energy companies to actively allocate storage capacity in a market-driven environment, promoting a long-term positive trend in capacity leasing demand driven by value. Therefore, capacity leasing evaluation indicators... :

[0151] ;

[0152] in, For capacity leasing ratio, The average rental price for independent energy storage capacity. Rated discharge energy;

[0153] Internet access evaluation indicators When an independent energy storage system discharges electricity, it is considered a power generation enterprise, and the electricity generated is settled according to the benchmark price of coal or the market electricity price. Therefore:

[0154] ;

[0155] in, For the revenue generated by the discharge of independently stored energy into the grid, The annual equivalent number of discharges for energy storage to participate in electricity trading;

[0156] Independent energy storage can obtain peak-shaving compensation based on the amount of electricity charged during peak-shaving periods, according to market prices or fixed standards, and has a strong competitive advantage and considerable revenue in the frequency regulation market. Therefore, there are evaluation indicators for peak-shaving ancillary services. Evaluation indicators for frequency modulation ancillary services :

[0157] ;

[0158] ;

[0159] in, To compensate units for peak-shaving services. The unit revenue for frequency regulation service compensation, where D is the average mileage of energy storage for each frequency regulation. This refers to the annual equivalent number of charging cycles during the peak-shaving operation of energy storage. The number of frequency regulation operations per year for energy storage. For overall charge / discharge conversion efficiency;

[0160] In addition, there are capacity evaluation indicators. :

[0161] ;

[0162] ;

[0163] ;

[0164] in, For independent energy storage capacity electricity price unit revenue, The annual available capacity factor for independent energy storage is given by h, which represents the number of continuous discharge hours at rated discharge power. Rated power generation capacity The equivalent number of charge-discharge cycles per year.

[0165] On the other hand, the evaluation indicators for the operational efficiency of source-side renewable energy distribution and storage include:

[0166] Equipping wind power, solar power, and other new energy power plants with energy storage stations can track power generation plans, reduce power forecasting deviations, and thus reduce the assessment costs under the "two detailed rules" (likely referring to specific regulations or rules). Based on this, evaluation indicators for savings under the "two detailed rules" can be obtained. :

[0167] ;

[0168] in, This refers to the reduction in new energy assessment points after the allocation of storage.

[0169] Attaching energy storage can store excess electricity generated by renewable energy sources, increasing revenue from grid connection fees. Statistics show that for a 1 million kilowatt photovoltaic power station, 1 MWh of energy storage can increase grid-connected electricity by 480 MWh annually. Therefore, there are also evaluation indicators for the increase in grid connection capacity of renewable energy. :

[0170] ;

[0171] in, This is to increase the amount of renewable energy electricity connected to the grid after the allocation and storage. For the revenue of new energy grid-connected units;

[0172] The amount of renewable energy generated through power generation and storage can increase the number of green certificates issued for power plants, which can be used as an evaluation indicator for green certificate gains. To quantify:

[0173] ;

[0174] in, For the revenue of green certificate units;

[0175] New energy power plants with integrated storage and distribution capabilities can provide ancillary services such as peak shaving and frequency regulation to the power grid in addition to meeting their own needs, and can obtain compensation through the "two detailed rules". The two detailed rules' compensation evaluation indicators... :

[0176] ;

[0177] in, This refers to the additional new energy compensation points after the allocation of storage.

[0178] In addition, the evaluation indicators for the operational efficiency of load-side power users' distribution and storage include:

[0179] For two-part electricity users with distinct peak-valley characteristics in their electricity demand, energy storage can reduce peak power consumption (maximum demand) without affecting normal production and operation, thus reducing energy consumption. Here, energy demand saving evaluation indicators can be obtained. :

[0180] ;

[0181] in, This represents the unit consumption of electricity demand. This represents the maximum reduction in electricity demand after the allocation and storage.

[0182] Energy storage provided by load-side power users can help them stagger their electricity consumption, shifting demand from periods of higher electricity prices to periods of lower prices, thereby improving cost-effectiveness. Therefore, it is essential to obtain peak-hour energy saving evaluation indicators. :

[0183] ;

[0184] in, Electricity consumption per unit during peak electricity hours;

[0185] User-side energy storage can participate in the grid's demand response by altering the load characteristics of electricity users, and can therefore obtain subsidies and subsidy evaluation indicators. :

[0186] ;

[0187] in, and These refer to the peak-shaving revenue per unit and the valley-filling revenue per unit for user-side energy storage, respectively. and These represent the annual equivalent number of charge-discharge cycles for user-side energy storage to participate in peak shaving and valley filling responses, respectively.

[0188] Step S2: Based on the multi-dimensional consumption evaluation index and the operation benefit evaluation index, establish a new energy storage quality evaluation index for the source-grid-load side.

[0189] Specifically, the method for establishing new energy storage quality evaluation indicators on the source-grid-load side includes:

[0190] Obtain the average annual return evaluation indicator F:

[0191] ;

[0192] ;

[0193] ;

[0194] in, For the evaluation index of operational efficiency in the nth operating period, Let A be the consumption evaluation index for the nth operating period, P be the present value, Y be the loan term, r be the discount rate, P(.) represent the capital recovery factor, and N be the total number of operating years.

[0195] When obtaining the average annual return evaluation index, since the cost and benefit of energy storage projects are a series of unequal annual cash flows, in order to quantify their average annual return, it is necessary to first discount each cash flow to its present value, and then introduce a capital recovery factor. Converted to equivalent annual value.

[0196] Solve the following equation to obtain the dynamic payback period T:

[0197] ;

[0198] Solve the following equation to obtain the internal rate of return (IRR):

[0199] .

[0200] Step S3: Predict the feasibility of the current energy management scheme based on the new energy storage quality evaluation indicators on the source-grid-load side.

[0201] Based on the scheme of this embodiment, the method for predicting the feasibility of the current energy management scheme based on the new energy storage quality evaluation index on the source-grid-load side is as follows:

[0202] Determine whether the values ​​of the new energy storage quality evaluation indicators on the source-grid-load side are within the corresponding preset threshold range. If so, the current energy management scheme is feasible; otherwise, the current energy management scheme is adjusted.

[0203] Specifically, methods for adjusting the current energy management plan include:

[0204] Adjustments were made based on energy storage technology lines, consumption, and capacity; the construction of supporting long-term energy storage was adjusted; the scale of energy storage power was configured; energy storage was adjusted during low-electricity-price periods and power generation was adjusted during high-electricity-price periods; and the recycling and reuse of waste materials were adjusted.

[0205] The above adjustment methods can be applied at different stages, for example:

[0206] During the investment selection phase, on the one hand, one can choose energy storage technologies that are mature and have low unit capacity costs, such as electrochemical energy storage, combined with battery cascade utilization technology to reduce initial investment costs; on the other hand, one can choose energy storage technologies with large capacity and long operating life, such as compressed air energy storage, thereby reducing the unit fixed cost over the entire life cycle.

[0207] During the capacity allocation phase, it is recommended that new energy sources strengthen the construction of supporting long-term energy storage to cope with the stricter assessment mechanisms and fierce competition after entering the market; it is recommended that large industrial and other stable two-part electricity users reasonably allocate energy storage capacity to avoid excessive demand costs, and can improve the efficiency of energy storage by increasing the storage duration.

[0208] During the project operation phase, the energy storage and distribution on the source side and the power user storage and distribution on the load side can optimize the energy storage charging and discharging methods based on electricity price forecasts. By storing energy during periods of low electricity prices and generating electricity during periods of high electricity prices, the revenue per kilowatt-hour can be increased or the cost per kilowatt-hour can be reduced. The independent energy storage on the grid side can actively participate in the ancillary service market such as peak shaving, frequency regulation, and ramping, giving full play to its own regulatory value and enriching the sources of revenue.

[0209] During the decommissioning and shutdown phase, efforts should be made to promote the recycling and reuse of waste materials and increase the residual value recovery rate.

[0210] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An energy management method based on a novel energy storage quality evaluation index on the source-grid-load side, characterized in that, Includes the following steps: Obtain multi-dimensional consumption evaluation indicators for new energy storage on the generation, grid, and load sides of the energy management scheme to be evaluated. These multi-dimensional consumption evaluation indicators include: grid-side independent energy storage consumption evaluation indicators, including fixed consumption and variable consumption of grid-side independent energy storage; source-side new energy distribution and storage consumption evaluation indicators, obtained through power generation data collection; and load-side power user distribution and storage consumption evaluation indicators, obtained for both single-partition and two-partition users. Based on the new multi-dimensional evaluation index model of energy storage on the source-grid-load side, multi-dimensional operation benefit evaluation indexes are obtained. The multi-dimensional operation benefit evaluation indexes include: grid-side independent energy storage operation benefit evaluation index, source-side new energy distribution and storage operation benefit evaluation index, and load-side power user distribution and storage operation benefit evaluation index. Based on multidimensional consumption evaluation indicators and operational efficiency evaluation indicators, establish a new energy storage quality evaluation index for the source-grid-load side. Predicting the feasibility of current energy management solutions based on new energy storage quality evaluation indicators for the source-grid-load side; The grid-side independent energy storage fluctuation consumption The method for obtaining it is as follows: ； in, Electricity consumption for charging Additional costs for market operations For overall charge / discharge conversion efficiency; The grid-side independent energy storage fixed consumption The method for obtaining it is as follows: ； ； ； ； ； in, For capital consumption, Auxiliary parameters for loan repayment consumption. Rated discharge energy, The discount rate is... This is the year number for the operational period. Total number of years of operation Y represents the cost of repaying the loan, and Y is the loan term in years. For corporate income tax rates, Auxiliary parameters for operation and maintenance consumption. For maintenance costs, For depreciation consumption, To recover and consume auxiliary parameters, To recycle consumption, As an auxiliary parameter for tax rates, Value-added tax rate; The evaluation indicators of source-side new energy distribution, storage and consumption The method for obtaining it is as follows: ； in, For new energy power generation; The method for obtaining the load-side power user distribution and storage consumption evaluation indicators is as follows: If it is a single-user system, obtain the load-side power user's power distribution and storage consumption evaluation index. : ； in, Equivalent charge-discharge cycles per year; If the user is on a two-part electricity supply system, the evaluation indicators for load-side power user distribution and storage consumption include distribution and storage change consumption. and fixed consumption of storage and distribution : ； ； in, Rated power generation capacity, Consumption for demand; The evaluation indicators for the operational efficiency of grid-side independent energy storage include: Capacity leasing evaluation indicators : ； in, For capacity leasing ratio, The average rental price for independent energy storage capacity. Rated discharge energy; Internet access evaluation indicators : ； in, For the revenue generated by the discharge of independently stored energy into the grid, The annual equivalent number of discharges for energy storage to participate in electricity trading; Evaluation Indicators for Peak Shaving Ancillary Services Evaluation indicators for frequency modulation ancillary services : ； ； in, To compensate units for peak-shaving services. The unit revenue for frequency regulation service compensation, where D is the average mileage of energy storage for each frequency regulation. This refers to the annual equivalent number of charging cycles during the peak-shaving operation of energy storage. The number of frequency regulation operations per year for energy storage. For overall charge / discharge conversion efficiency; Capacity evaluation indicators : ； ； ； in, For independent energy storage capacity electricity price unit revenue, The annual available capacity factor for independent energy storage is given by h, which represents the number of continuous discharge hours at rated discharge power. Rated power generation capacity Equivalent charge-discharge cycles per year; The evaluation indicators for the operational efficiency of source-side renewable energy distribution and storage include: Two detailed rules for assessing savings evaluation indicators : ； in, The reduction in new energy assessment points after allocation of storage; Evaluation indicators of the increase in new energy grid connection : ； in, This is to increase the amount of renewable energy electricity connected to the grid after the allocation and storage. For the revenue of new energy grid-connected units; Green Certificate Gain Evaluation Indicators : ； in, For the revenue of green certificate units; Two detailed compensation evaluation indicators : ； in, This refers to the additional new energy compensation points added after the allocation of storage. The evaluation indicators for the operational efficiency of load-side power users' power distribution and storage include: Electricity demand saving evaluation indicators : ； in, This represents the unit consumption of electricity demand. This represents the maximum reduction in electricity demand after the allocation and storage. Peak electricity saving evaluation indicators : ； in, Electricity consumption per unit during peak electricity hours; Subsidy evaluation indicators : ； in, and These refer to the peak-shaving revenue per unit and the valley-filling revenue per unit for user-side energy storage, respectively. and These represent the annual equivalent number of charge-discharge cycles for user-side energy storage to participate in peak shaving and valley filling responses, respectively. The method for establishing new energy storage quality evaluation indicators on the source-grid-load side includes: Obtain the average annual return evaluation indicator F: ； ； ； in, For the evaluation index of operational efficiency in the nth operating period, Let A be the consumption evaluation index for the nth operating period, P be the present value, Y be the loan term, r be the discount rate, P(.) represent the capital recovery factor, and N be the total number of operating years. Solve the following equation to obtain the dynamic payback period T: ； Solve the following equation to obtain the internal rate of return (IRR): ； The method for predicting the feasibility of current energy management schemes based on the new energy storage quality evaluation indicators of the source-grid-load side is as follows: Determine whether the values ​​of the new energy storage quality evaluation indicators on the source-grid-load side are within the corresponding preset threshold range. If so, the current energy management scheme is feasible; otherwise, the current energy management scheme is adjusted.

2. The energy management method based on a novel energy storage quality evaluation index on the source-grid-load side according to claim 1, characterized in that, The methods for adjusting the current energy management scheme include: Adjustments were made based on energy storage technology lines, consumption, and capacity; the construction of supporting long-term energy storage was adjusted; the scale of energy storage power was configured; energy storage was adjusted during low-electricity-price periods and power generation was adjusted during high-electricity-price periods; and the recycling and reuse of waste materials were adjusted.

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