Charging and discharging operation mode control method for energy storage user

Abstract

The invention discloses a charging and discharging operation mode control method for an energy storage user, which solves the problem that in the prior art, the electricity cost is increased due to the fact that the demand is increased when the peak-valley arbitrage income is met, and comprises the following steps: obtaining user energy consumption data and energy storage parameters; generating an energy storage initial operation strategy according to the user type and the environment factor; and dynamically optimizing the energy storage initial operation strategy according to the demand control model and the economical efficiency optimal control model, and outputting a next-day operation strategy considering the electric charge cost. And the most suitable charging and discharging operation strategy can be formulated according to the actual condition and demand of the user, so that the energy cost of the user is reduced to the greatest extent.

Description

Technical Field

[0001] This invention relates to the field of user energy storage technology, and in particular to a method for controlling the charging and discharging operation mode of energy storage users. Background Technology

[0002] With the development of energy storage technology, energy storage has become one of the key technologies for improving the flexibility, security, and stability of the energy internet and increasing the consumption of renewable energy. The application of user-side energy storage is closely related to the user's actual load curve, peak power ratio, and load factor. The application of user-side energy storage will promote the adjustment of user production and operation structure and reduce user marginal costs. Therefore, energy storage configuration and charging and discharging strategies that are tailored to local conditions, time, and individual users can effectively improve user benefits.

[0003] The primary value of energy storage installation on the user side is saving on electricity costs. Peak-valley arbitrage is a major component of user revenue, and as the peak-valley price difference widens further among new industrial and commercial users, the arbitrage revenue from charging and discharging will increase further. For industrial and commercial users implementing two-part tariffs, the combined effect of existing load and charging load during off-peak hours may lead to increased demand. Therefore, how to satisfy peak-valley arbitrage revenue while avoiding increased electricity costs due to increased demand is a key research area in energy storage operation strategy analysis. Summary of the Invention

[0004] The purpose of this invention is to solve the problem of increased electricity costs caused by increased demand due to energy storage charging in the prior art. It provides a method for controlling the charging and discharging operation mode of energy storage users, which can formulate the most suitable charging and discharging operation strategy according to the actual situation and needs of users, so as to minimize the energy costs of users.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A method for controlling the charging and discharging operation mode of an energy storage user includes the following steps: S1: Obtain user energy consumption data and energy storage parameters; S2: Generate the initial operation strategy for energy storage based on user type and environmental factors; S3: Based on the demand control model and the economic optimal control model, dynamically optimize the initial operation strategy of energy storage and output the next day's operation strategy that takes into account electricity costs.

[0006] The method of this invention generates an energy storage charging and discharging operation strategy by taking into account the user's historical electricity consumption data and the user's historical electricity demand. It is designed for industrial and commercial users who apply different electricity prices in different seasons. By combining the user's energy storage configuration capacity and fully considering the user's electricity consumption for production the next day, a demand control model and an economically optimal control model are constructed to dynamically optimize the operation strategy, fully considering the user's electricity cost and reducing energy costs.

[0007] Preferably, S2 includes: if the user is a large industrial or general commercial enterprise and it is spring or autumn, the charging period is during off-peak hours, the discharging period is during peak hours, and the static state is during flat hours. The charging time is the start of the off-peak hours, and the operation is carried out in a manner of two charging and two discharging cycles per day, with full charging and discharging; if the user is a large industrial or general commercial enterprise and it is summer or winter, the charging period is during off-peak hours, the discharging period is during the remaining peak hours, and the static state is during flat hours. The charging time is the start of the peak hours, and the operation is carried out in a manner of two charging and two discharging cycles per day, with full charging and discharging.

[0008] As a preferred approach, the charging strategy is optimized based on the demand control model: the off-peak energy storage charging load is superimposed with the daily electricity load forecast data to calculate the actual overall electricity load of users after energy storage allocation; taking the start time of the off-peak period as the charging start time and the actual charging end time as the end time, the maximum actual electricity load during the charging period is calculated under different charging start times while ensuring that the energy storage is fully charged; the charging start time and charging end time corresponding to the minimum value among the maximum actual electricity loads are selected as the charging strategy for that period; the charging power in the charging strategy is adjusted according to the user's pricing method.

[0009] As a preferred option, the discharge strategy is optimized based on the economically optimal control model: the overall electricity load of the user during the peak period after the distribution of storage is calculated at different start times, and the overall electricity cost of the user during the peak period is calculated at different discharge start times by combining the peak period electricity price and the peak period electricity price, thus constructing the economically optimal control model.

[0010] Preferably, S3 includes: if the user is a single-rate electricity user, the electricity cost during off-peak hours does not need to be optimized; if the user is a demand-based billing user under a two-part electricity pricing system, the demand cost is controlled by controlling the demand size or controlling the demand not to exceed the rated demand, adjusting the start time of energy storage charging and verifying the demand according to the contract, and dynamically optimizing the initial operation strategy of the energy storage.

[0011] Preferably, adjusting the charging power in the charging strategy according to the user's pricing method includes: if the user is charged on demand under a two-part two-step electricity price system, then the overall electricity load of the actual user after the allocation and storage is constrained according to the demand approved in the user's contract; if the user is charged on capacity under a two-part electricity price system, then the overall electricity load of the actual user after the allocation and storage is constrained according to the user's operating capacity.

[0012] Preferably, the economically optimal control model is: the discharge start time and discharge end time corresponding to the minimum electricity cost at different start times are used as the discharge strategy for that period.

[0013] Preferably, the initial operation strategy of the energy storage includes charging and discharging time and charging and discharging power, and calculates the overall user electricity load data after superimposing the energy storage operation strategy with the actual production electricity consumption data.

[0014] Preferably, the user energy consumption data includes user daily load forecast data and user demand data for the previous period, as well as user type and voltage level. The energy storage parameters include energy storage capacity, rated charging and discharging power, and related parameters of the energy storage device.

[0015] Preferably, the acquisition of user energy consumption data includes acquiring the load forecast data of point m at intervals of t minutes from 0:00 to 24:00 the next day, as well as acquiring the user's contractually approved demand and user operating capacity.

[0016] Where m = (24 × 60) / x.

[0017] Therefore, this invention has the following beneficial effects: For industrial and commercial users who apply different electricity prices in different seasons, it combines the user's energy storage configuration capacity with the construction of a demand control model and an economically optimal control model, taking into full account the user's electricity consumption for the next day's production, to dynamically optimize the operation strategy; for users with two-part tariffs, it adjusts the charging power in the charging strategy to fully consider the user's electricity costs, taking into account the different methods of capacity-based and demand-based billing; in the discharge operation strategy, it considers the time-of-use pricing policies of various regions, prioritizing discharge during peak hours in regions with peak and off-peak periods; this can help industrial and commercial users minimize the charging and discharging operation costs of the energy storage system, thereby reducing the user's energy costs. Attached Figure Description

[0018] Figure 1 This is a flowchart of the steps in the energy storage user charging and discharging operation mode control method of the present invention.

[0019] Figure 2 This is a schematic diagram of the initial operation strategy for energy storage during peak hours in Example 2.

[0020] Figure 3 This is a schematic diagram of the initial operation strategy for energy storage during peak periods in Example 2. Detailed Implementation

[0021] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments: Example 1: This embodiment provides a method for controlling the charging and discharging operation mode of energy storage users, such as... Figure 1 As shown, the operation process is as follows: Step 1, obtain user energy consumption data and energy storage parameters; Step 2, generate an initial energy storage operation strategy based on user type and environmental factors; Step 3, dynamically optimize the initial energy storage operation strategy based on the demand control model and the economic optimal control model, and output the next day's operation strategy considering electricity costs.

[0022] The energy storage user charging and discharging operation mode control method provided in this embodiment is designed for industrial and commercial users who apply different electricity prices in different seasons. Combining the user's energy storage configuration capacity with full consideration of the user's electricity consumption for the next day's production, it constructs a demand control model and an economically optimal control model to dynamically optimize the operation strategy. Simultaneously, for users with two-part tariffs, it adjusts the charging power in the charging strategy to fully consider the user's electricity costs, taking into account the different capacity-based and demand-based billing methods. In the discharging operation strategy, it considers the time-of-use pricing policies of various regions. For regions with peak and off-peak periods within the peak period, it prioritizes discharging during off-peak hours to ensure optimal economic benefits. This method can help industrial and commercial users minimize the charging and discharging operation costs of energy storage systems, thereby reducing their energy costs.

[0023] The following examples and specific application scenarios further illustrate the technical solution and effects of the present invention. The following examples are explanations of the present invention, but the present invention is not limited to the following examples.

[0024] Step 1: Obtain user energy consumption data and energy storage parameters.

[0025] User energy consumption data includes daily load forecast data and user demand data for the previous period. Daily load forecast data can be collected using an electricity information collection system: acquiring user energy consumption data includes obtaining n-point load forecast data at intervals of t minutes from 0:00 to 24:00 the following day, where n = 14400 / t.

[0026] Furthermore, user energy consumption data also includes user type and voltage level, user contractually approved demand, and user operating capacity.

[0027] Energy storage parameters include energy storage capacity, rated charge and discharge power, and related parameters of energy storage equipment, such as energy storage efficiency, energy storage system capacity, rated energy, and rated capacity.

[0028] Step 2: Generate the initial operation strategy for energy storage based on user type and environmental factors.

[0029] User type includes electricity consumption attributes, such as large industrial or general commercial and industrial. Environmental factors include the season. The initial energy storage operation strategy includes charging and discharging time and power, and calculates the overall user electricity load data after overlaying the energy storage operation strategy with actual production electricity consumption data.

[0030] In this embodiment, when generating the initial operation strategy for energy storage, for users whose electricity consumption attributes are large industrial or general commercial and industrial users, the default available energy at the start of energy storage charging is 0 kWh.

[0031] (1) The season is spring and autumn, and the initial operation strategy of spring and autumn is implemented.

[0032] Charging will begin during off-peak hours. Charging end time is The charging time is defined as the start of the off-peak period; the discharging time is defined as the peak period, where the discharge start time is... The discharge end time is During the flat period, it is in a static state, and it operates in a cycle of charging and discharging twice a day, fully charging and discharging.

[0033] Among them, the actual charging power during the charging period under the initial operation strategy is the minimum value that satisfies the maximum charging and discharging power limit for fully charging the energy storage within the charging and discharging time, the minimum full charging power limit within the current charging period, and the minimum open capacity limit of the transformer under sufficient power load.

[0034] The maximum charge / discharge power limit for fully charging and discharging the stored energy within the charge / discharge duration is the ratio of the product of the energy storage capacity and the depth of charge / discharge to the maximum charge / discharge duration.

[0035] The minimum full charge power limit during the current charging period is the maximum charge and discharge power limit, which is the difference between the product of the energy storage capacity and the depth of charge and discharge and the energy storage capacity at the previous moment, and the ratio of this difference to the time at which charging started.

[0036] The limit for the open capacity of a transformer under the required electrical load is 95%, which is the product of the difference between the rated capacity of the user's transformer and the electrical load at that moment in the daily predicted load curve, and the charging and discharging efficiency and 0.95.

[0037] The actual end time of charging during off-peak hours satisfies the following condition: the product of energy storage capacity and depth of charge / discharge equals the power consumption during the off-peak charging period.

[0038] The discharge power during the discharge period under the initial operating strategy is:

[0039] Among them, P i dis P represents the actual discharge power of the stored energy. max To meet the maximum charge / discharge power limit for energy storage during the charge / discharge duration, η represents the electrical load at that moment in the daily predicted load curve, and η represents the depth of charge and discharge of energy storage.

[0040] The actual end time of discharge during the peak period satisfies the following condition: the product of energy storage capacity and charge / discharge depth equals the amount of discharge during the peak period.

[0041] (2) If the season is summer or winter, the initial operation strategy for summer and winter shall be implemented.

[0042] The system uses off-peak hours as charging periods and other peak hours as discharging periods. In the initial operating state, the start time of energy storage discharge is preferentially set to the start time of the peak period, while the flat period is a static state. The system operates in a state of two charging and two discharging cycles per day, and full charging and discharging.

[0043] Step 3: Based on the demand control model and the economic optimal control model, dynamically optimize the initial operation strategy of energy storage and output the next day's operation strategy that takes into account electricity costs.

[0044] A demand control model is constructed during the charging period, and an economically optimal control model is constructed during the discharging period to optimize the initial operating strategy.

[0045] Specifically: (1) Construct a demand control model during the charging period and optimize the charging strategy.

[0046] For users with a single-rate electricity price, there is no room for optimization of electricity costs during off-peak hours, so no optimization is needed. For users with a two-part electricity price and pay-as-you-go billing, demand-based electricity costs are controlled by controlling the size of demand or ensuring that demand does not exceed the rated demand. The initial operation strategy of the energy storage is dynamically optimized by adjusting the start time of energy storage charging and verifying the demand according to the contract.

[0047] Specifically, this manifests as follows: (1.1) Overlay the off-peak energy storage charging load with the daily electricity load forecast data to calculate the actual overall user electricity load after energy storage allocation. The actual overall user electricity load after energy storage allocation is: if it is between the start and end time of charging, the overall user electricity load is the sum of the load forecast data and the actual charging power during the charging period under the initial operation strategy in step 2; if it is not between the start and end time of charging, the overall user electricity load is the load forecast data.

[0048] (1.2) Taking the start time of the off-peak period as the start time of charging and the actual end time of charging as the end time, calculate the maximum actual power load during the charging period under different charging start times t under the condition of ensuring that the energy storage is fully charged; select the minimum value of the actual power load corresponding to the charging start time and charging end time as the charging strategy for that period.

[0049] (1.3) Adjust the charging power in the charging strategy according to the user's pricing method: If a user is charged on demand under a two-part, two-stage electricity tariff, then the actual overall electricity load of the user after distribution and storage will be constrained according to the demand specified in the user's contract.

[0050] That is, if the difference between the actual total electricity load of the user after distribution and storage calculated in step (1.1) and the approved demand in the user contract is greater than 0, then the adjusted actual total electricity load of the user after distribution and storage is the difference between the actual total electricity load of the user after distribution and storage calculated in step (1.1) and the approved demand in the user contract.

[0051] If the difference between the actual total electricity load of the user after distribution and storage calculated in step (1.1) and the approved demand in the user contract is less than or equal to 0, then the adjusted actual total electricity load of the user after distribution and storage is still the actual total electricity load of the user after distribution and storage calculated in step (1.1).

[0052] If the user is charged on a capacity-based basis under a two-part tariff, then the overall electricity load of the user after distribution and storage will be constrained according to the user's operating capacity.

[0053] That is, if the difference between the actual overall power load of the user after distribution and storage calculated in step (1.1) is greater than 0, then the adjusted actual overall power load of the user after distribution and storage is the difference between the actual overall power load of the user after distribution and storage calculated in step (1.1) and the user's operating capacity.

[0054] If the difference between the actual overall power load of users after distribution and storage calculated in step (1.1) and the user's operating capacity is less than or equal to 0, then the adjusted actual overall power load of users after distribution and storage is still the actual overall power load of users after distribution and storage calculated in step (1.1).

[0055] (2) Construct an economically optimal control model during the discharge period and optimize the discharge strategy.

[0056] Considering that users can implement energy storage and discharge measures during periods of high electricity load or high electricity prices, energy storage and discharge can replace public grid electricity consumption to reduce the original public grid electricity load, thereby achieving the goal of saving electricity costs.

[0057] Specifically, this manifests as follows: (2.1) Calculate the overall electricity load of users during peak hours after power distribution and storage at different start times: If the moment falls between the start and end times of discharge, the overall peak-hour electricity load after storage allocation for the user is the difference between the predicted load data at that moment and the discharge power during the discharge period under the initial operation strategy; if the moment does not fall between the start and end times of discharge, the overall peak-hour electricity load after storage allocation for the user is the predicted load data at that moment.

[0058] Calculate the overall electricity cost for users during peak hours at different discharge start times: Calculate the product of peak-hour electricity price and peak-hour total electricity load. Calculate the product of peak-hour electricity price and peak-hour total electricity load. The user's total electricity cost during peak hours at different discharge start times is the sum of the two products.

[0059] Construct an economically optimal control model: use the discharge start time and discharge end time corresponding to the minimum electricity cost at different start times as the discharge strategy for that period.

[0060] The energy storage user charging and discharging operation mode control method provided in this embodiment has the following beneficial effects: (1) A comprehensive method for analyzing the charging and discharging operation modes of energy storage users is provided, which can help users better understand and manage the operation of energy storage systems, gain a deeper understanding of the energy consumption characteristics of energy storage systems under different charging and discharging operation modes, and thus adjust the system operation strategy in a targeted manner to reduce energy costs.

[0061] (2) Taking into account factors such as electricity prices, peak and off-peak electricity pricing policies, and electricity load characteristics, the charging and discharging operation mode should be optimized to minimize users' electricity expenses and save on electricity costs.

[0062] (3) Considering the special electricity needs and industry characteristics of industrial and commercial users, a flexible and customizable analysis method is provided, which can formulate the most suitable charging and discharging operation strategy according to the actual situation and needs of users, so as to minimize the energy costs of users.

[0063] Example 2: This embodiment provides a method for controlling the charging and discharging operation mode of energy storage users. Based on the first embodiment, it incorporates a specific application scenario to address the problem of increased electricity costs caused by increased demand due to energy storage charging. It provides a method for analyzing the charging and discharging operation mode of energy storage on the industrial and commercial user side, taking into account electricity costs. By using historical electricity consumption data of users and considering the magnitude of historical electricity demand, an energy storage charging and discharging operation strategy is generated.

[0064] Specifically, it includes: Step 1: Based on the electricity consumption information collection system, acquire daily load forecast data and user demand data from the previous period, as well as user type, voltage level, and energy storage-related parameters, including energy storage capacity, rated charging and discharging power, and energy storage equipment-related parameters.

[0065] Furthermore, based on the electricity consumption information collection system, 96 load forecast data points are obtained at 15-minute intervals from 0:00 to 24:00 the following day. Simultaneously obtain the user's contract-approved demand. And user running capacity P r .

[0066] Step 2: Based on the data obtained in Step 1, an initial operation strategy for energy storage is generated according to attributes such as user type and season. This strategy includes charging and discharging time and charging and discharging power. The overall user electricity load data is then calculated by superimposing the energy storage operation strategy with the actual production electricity consumption data.

[0067] An initial operational strategy is generated based on factors such as user type and season. The specific implementation steps are as follows: (1) When the user’s electricity consumption is classified as large industrial or general industrial and commercial and the season is spring and autumn.

[0068] By default, the available capacity of the energy storage starts charging at 0 kWh. When the user's electricity consumption is classified as large industrial or general commercial and the season is spring or autumn, the charging period is during off-peak hours, and the charging starts at [time missing]. Charging end time is In the initial operating strategy, the default start time for charging is the start time of the off-peak period; the peak period is used as the discharge period, where the discharge start time is... The discharge end time is During the flat period, it is in a static state, and it operates in a cycle of charging and discharging twice a day, fully charging and discharging.

[0069] Under the initial operating strategy, the actual charging power during the charging period is the minimum value that satisfies the maximum charging and discharging power limit for fully charging the energy storage within the charging and discharging duration, the minimum full charging power limit within the current charging period, and the transformer's open capacity limit under sufficient power load. This can be expressed by the formula: P i Cha =min(P max ,P min ,P e ),in: In the above formula, P i Cha The actual charging power is represented by T, the maximum charging / discharging duration is represented by η, and the depth of charge / discharge is represented by η. Q represents energy storage capacity. eThe rated capacity of the user's transformer, β represents the charging and discharging efficiency, and P max This indicates that the maximum charge / discharge power limit for fully charging the stored energy is met within the charge / discharge duration, P. min P represents the minimum full-charge power limit during the current charging period. e This indicates that the transformer meets the allowable capacity limit under electrical load conditions. This indicates the electricity load at that moment in the daily predicted load curve.

[0070] Therefore, the actual end time of charging during off-peak hours Expressed as a formula: The discharge power during the discharge period under the initial operating strategy is expressed by the formula: In the formula, P i dis P represents the actual discharge power of the stored energy. max This indicates that the maximum charge / discharge power limit for energy storage within the charge / discharge duration is met. This represents the electricity load at that moment in the daily predicted load curve, and η represents the depth of charge and discharge of energy storage.

[0071] The actual end time of discharge during the peak period Satisfy the following formula:

[0072] Based on the above, the operational status of the initial energy storage operation strategy during peak hours is as follows: Figure 2 As shown.

[0073] (2) When the user’s electricity consumption is for large industrial or general commercial and industrial use and the season is summer or winter.

[0074] When the user's electricity consumption is classified as large industrial or general commercial and industrial and the season is summer or winter, the default available energy at the start of charging of the energy storage is 0 kWh. The charging period is during off-peak hours, and the other peak periods are for discharging. Considering that the electricity price is higher during peak periods, for users with electricity consumption classified as large industrial or general commercial and industrial and industrial and the season is summer or winter, the start time of energy storage discharging is initially set to the start time of peak periods, and the flat periods are in a static state. The system operates in a state of two charging and two discharging per day, and full charging and discharging.

[0075] The operating status of the initial operation strategy for energy storage during peak periods is as follows: Figure 3 As shown.

[0076] The third step is to dynamically optimize the initial operating strategy using the demand control model and the economic optimal control model, and finally output the next day's operating strategy that takes into account electricity costs, including charging and discharging times and real-time charging and discharging power.

[0077] The overall electricity load data after user-level power allocation and storage is calculated. A demand control model is constructed during the charging period, and an economically optimal control model is constructed during the discharging period to optimize the initial operating strategy. Specifically: Charging strategy optimization.

[0078] Due to the influence of user electricity load and the characteristics of energy storage charging load during off-peak hours, the cost of electricity during off-peak hours increases after energy storage is integrated, without changing the original electricity load. Therefore, for users under a single-rate electricity tariff, there is no room for optimization of electricity costs during off-peak hours. However, for users under a two-part tariff who pay according to demand, demand-based electricity costs can be controlled by adjusting the demand size or ensuring that the demand does not exceed the approved demand. Therefore, by adjusting the start time of energy storage charging and according to the contracted demand... The initial running strategy generated in the second step is optimized and adjusted.

[0079] In this embodiment, the specific implementation steps of the demand control model are as follows: 1) Assume the start time of the off-peak period is T0, the end time is T1, and the charging start time is... Charging end time is By overlaying the off-peak energy storage charging load with the daily electricity load forecast data, the actual overall electricity load of users after energy storage allocation is calculated.

[0080] The actual total electricity load of users after distribution and storage is:

[0081] 2) Taking the start time of the off-peak period as the charging start time and the actual charging end time as the end time, calculate the charging period under different charging start times t, assuming the energy storage is fully charged. maximum value

[0082] The results are shown in the table below: 3) Select from the results of step 2). The minimum value corresponds to the start time of charging. and the time when charging ends Charging strategy for this period.

[0083] 4) Adjust the charging power in the charging strategy according to the user's pricing method to reduce electricity costs.

[0084] Furthermore, in this embodiment, the charging power in the charging strategy is adjusted according to the user's pricing method as follows: 4.1) If the user is billed on a demand-based basis under a two-part tariff, the demand will be calculated according to the user's contract. right The constraints are as follows:

[0085] 4.2) If the user is charged on a capacity-based basis under a two-part tariff, then the charge will be based on the user's operating capacity P. r right The constraints are as follows:

[0086] (2) Optimization of discharge strategy.

[0087] Considering that users can implement energy storage and discharge measures during periods of high electricity load or high electricity prices, energy storage and discharge can replace public grid electricity consumption to reduce the original public grid electricity load, thereby achieving the goal of saving electricity costs.

[0088] Taking one peak period as an example, the implementation steps of the discharge strategy optimization model for that period are introduced. The charging strategy optimization method for other discharge periods is the same, as follows: 1) Assume the peak period starts at T1, the high-peak period starts at T1, the high-peak period ends at T2, the spike period starts at T2, the spike period ends at T3, and the discharge start time is... The discharge end time is The actual overall electricity load during peak hours after user power allocation and storage is calculated as follows:

[0089] 2) Calculate the start time of different discharge periods based on peak and low electricity prices. The overall electricity cost for downstream users during peak hours. The calculation formula is as follows: Where f1 is the peak hour electricity price, and f2 is the super-peak hour electricity price. The total power consumption of the user is calculated by implementing step 1) at different start times.

[0090] 3) Calculate the electricity cost at different discharge start times in step 2) above, and construct the economically optimal control model.

[0091] The specific implementation of the economically optimal control model is as follows: The discharge start time corresponds to the minimum electricity cost at different start times. and the end of discharge This is the discharge strategy for this period.

[0092] The energy storage user charging and discharging operation mode control method provided in this embodiment is designed for industrial and commercial users who apply different electricity prices in different seasons. Combining the user's energy storage configuration capacity with full consideration of the user's electricity consumption for the next day's production, it constructs a demand control model and an economically optimal control model to dynamically optimize the operation strategy. For users with two-part tariffs, considering the differences between capacity-based and demand-based billing methods, the charging power in the charging strategy is adjusted to fully account for the user's electricity costs. Simultaneously, in the discharging operation strategy, the time-of-use pricing policies of various regions are considered. For regions with peak and off-peak periods within the peak segment, priority is given to discharging during off-peak hours to ensure optimal economic benefits.

[0093] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any way. Other variations and modifications are possible without departing from the technical solutions described in the claims.

Claims

1. A method for controlling the charging and discharging operation mode of an energy storage user, characterized in that, include: S1: Obtain user energy consumption data and energy storage parameters; S2: Generate the initial operation strategy for energy storage based on user type and environmental factors; S3: Based on the demand control model and the economic optimal control model, dynamically optimize the initial operation strategy of energy storage and output the next day's operation strategy that takes into account electricity costs.

2. The method for controlling the charging and discharging operation mode of an energy storage user according to claim 1, characterized in that, S2 includes: if the user is a large industrial or general commercial enterprise and it is spring or autumn, the charging period is during off-peak hours, the discharging period is during peak hours, and the static state is during flat hours. The charging time is the start of the off-peak hours, and the operation is carried out in a way of charging twice and discharging twice a day, fully charging and discharging; if the user is a large industrial or general commercial enterprise and it is summer or winter, the charging period is during off-peak hours, the discharging period is during the remaining peak hours, and the static state is during flat hours. The charging time is the start of the peak hours, and the operation is carried out in a way of charging twice and discharging twice a day, fully charging and discharging.

3. The method for controlling the charging and discharging operation mode of an energy storage user according to claim 1, characterized in that, The charging strategy is optimized based on the demand control model: the energy storage charging load during off-peak hours is superimposed with the predicted daily electricity load to calculate the actual overall electricity load of users after energy storage is allocated; the starting time of the off-peak period is taken as the charging start time, and the actual charging end time is taken as the end time, and the maximum actual electricity load during the charging period is calculated under different charging start times under the condition that the energy storage is fully charged. The charging start and end times corresponding to the minimum value among the maximum actual power load values ​​are selected as the charging strategy for this period. The charging power in the charging strategy is adjusted according to the user's pricing method.

4. A method for controlling the charging and discharging operation mode of an energy storage user according to claim 1 or 3, characterized in that, The discharge strategy is optimized based on the economically optimal control model: the overall electricity load of the user during the peak period after the distribution of storage is calculated at different start times, and the overall electricity cost of the user during the peak period is calculated at different discharge start times by combining the peak period electricity price and the peak period electricity price, thus constructing the economically optimal control model.

5. A method for controlling the charging and discharging operation mode of an energy storage user according to claim 1, 2, or 3, characterized in that, S3 includes: if the user is a single-rate electricity user, the electricity cost during off-peak hours does not need to be optimized; if the user is a demand-based billing user under a two-part electricity pricing system, the demand cost is controlled by controlling the demand size or controlling the demand not to exceed the rated demand, adjusting the start time of energy storage charging and verifying the demand according to the contract, and dynamically optimizing the initial operation strategy of the energy storage.

6. The method for controlling the charging and discharging operation mode of an energy storage user according to claim 3, characterized in that, The adjustment of charging power in the charging strategy according to the user's pricing method includes: if the user is charged on demand under a two-part two-step pricing system, then the overall electricity load of the actual user after the allocation and storage is constrained according to the demand approved in the user's contract; if the user is charged on capacity under a two-part pricing system, then the overall electricity load of the actual user after the allocation and storage is constrained according to the user's operating capacity.

7. The method for controlling the charging and discharging operation mode of an energy storage user according to claim 4, characterized in that, The economically optimal control model is as follows: the discharge start time and discharge end time corresponding to the minimum electricity cost at different start times are used as the discharge strategy for that period.

8. A method for controlling the charging and discharging operation mode of an energy storage user according to claim 1, 2, 3, or 6, characterized in that, The initial operation strategy for energy storage includes charging and discharging time and charging and discharging power, and calculates the overall user electricity load data after superimposing the energy storage operation strategy with the actual production electricity consumption data.

9. A method for controlling the charging and discharging operation mode of an energy storage user according to claim 1, 2, or 3, characterized in that, The user energy consumption data includes daily load forecast data and user demand data from the previous period, as well as user type and voltage level. The energy storage parameters include energy storage capacity, rated charging and discharging power, and related parameters of the energy storage device.

10. The method for controlling the charging and discharging operation mode of an energy storage user according to claim 9, characterized in that, The acquisition of user energy consumption data includes acquiring the load forecast data of point m at intervals of x minutes from 0:00 to 24:00 the next day, as well as the user's contractually approved demand and user operating capacity.

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