Conservative collaborative control method, device, electronic device and storage medium for energy storage resources

Abstract

The present application relates to the technical field of power system optimization operation, and in particular to a method, device, electronic device and storage medium for conservative collaborative control of energy storage resources, wherein the method comprises: judging whether the sum of the energy storage charging capacity and the load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatching plan is greater than the preset contract amount; when it is greater than the preset contract amount, generating the energy storage physical allocable interval according to the preset energy storage charge state curve, and generating the energy storage economic allocable interval according to the peak and valley electricity price peak; constructing the optimized allocable interval for energy storage pre-dispatching redistribution according to the intersection of the energy storage physical allocable interval and the economic allocable interval, and calculating the remaining capacity at each time point of the allocable interval according to the contract amount of the optimized allocable interval, and allocating the energy storage charging capacity at each time point according to the ratio of the remaining capacity at each time point. Thus, the problem of high penalty fees caused by the inability to avoid energy storage executing the pre-dispatching plan for charging operations in the related technology is solved.

Description

Technical Field

[0001] The present application relates to the technical field of power system optimization operation, and in particular to a method, device, electronic device and storage medium for conservative collaborative control of energy storage resources. Background Art

[0002] Driven by both energy transition and power reform, efficient and reliable energy supply and the development of supporting market mechanisms have become key drivers for the large-scale and orderly development of behind-the-meter energy storage. A rationalized energy storage layout can help alleviate peak-shaving pressure on the grid and delay capacity expansion at the user end. Energy management based on the generation and utilization characteristics of energy storage is a key means for the economical operation of producers and consumers. To ensure sufficient and reliable distribution network capacity, some regions in my country have begun implementing a two-part electricity pricing system based on capacity and energy. This system charges a capacity fee based on a maximum capacity agreed upon with electricity users, while an energy fee is charged based on actual electricity consumption. With the massive influx of distributed resources in the future, regulatory measures against electricity users exceeding capacity will become even stricter. Given the gradual implementation of the two-part electricity pricing system and the widespread use of time-of-use electricity pricing at the user end, it is necessary to develop solutions to address the high penalties faced by those who temporarily exceed the agreed contract volume during peak load periods.

[0003] Energy storage responds to load fluctuations through charging and discharging. On the one hand, it can participate in peak-shaving and valley-filling for the power grid. On the other hand, it can dynamically adjust its own state of charge to smooth energy consumption and compensate for the impact of short-term excess load, thereby effectively reducing or avoiding high penalties for exceeding the contracted load. However, when forming a pre-dispatch plan, the high load forecast deviation leads to an excessively high charging capacity in the energy storage pre-dispatch. At the same time, the energy management model based on the mixed integer linear programming solution method will generate multiple optimal solutions with the goal of minimizing energy cost. As a result, the energy storage pre-dispatch plan will concentrate charging time in a certain period before the continuous discharge interval. This will cause the energy storage charging capacity plus the load forecast at this time to exceed the contracted amount, resulting in additional high penalties.

[0004] It can be seen from this that energy storage, when responding to load fluctuations, is helpful in reducing penalties caused by load electricity consumption exceeding the specified contract amount. However, it cannot avoid the impact of load forecast deviations and the solution method of the energy storage scheduling optimization function. New penalties may appear during the charging period before the continuous discharge period, exacerbating the pressure on the energy consumption cost of the electricity load. Summary of the Invention

[0005] The present application provides a method, device, electronic device and storage medium for conservative collaborative control of energy storage resources to solve the problems of high penalties caused by the execution of pre-scheduling plans for charging operations, exacerbating the pressure on power load energy consumption costs, and so on.

[0006] A first aspect of the present application provides a conservative collaborative control of energy storage resources, including the following steps: determining whether the sum of the energy storage charging capacity and the load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatching plan is greater than a preset contract amount; when it is greater than the preset contract amount, generating a physical allocable interval of energy storage according to a preset energy storage state of charge curve, and generating an economic allocable interval of energy storage according to the peak and valley electricity price; constructing an optimized allocable interval for energy storage pre-dispatching redistribution according to the intersection of the physical allocable interval of energy storage and the economic allocable interval of energy storage, and calculating the remaining capacity at each time point of the allocable interval according to the contract amount of the optimized allocable interval, and allocating the energy storage charging capacity at each time point according to the ratio of the remaining capacity at each time point.

[0007] Optionally, in one embodiment of the present application, the determination of whether the sum of the energy storage charging capacity and the load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatching plan exceeds the preset contract amount includes: determining whether the energy storage state of charge at a certain moment is equal to the preset state of charge minimum value, and at the same time, determining whether the sum of the load forecast of the power system at a certain moment and the energy storage charging capacity is greater than the preset contract amount, and the energy storage state of charge is greater than the preset state of charge minimum value.

[0008] Optionally, in one embodiment of the present application, generating a physically allocatable interval based on a preset energy storage state of charge curve includes: using the state of charge to characterize the physical constraints of the energy storage, and calculating the state of charge value of the energy storage at the pre-dispatching capacity time point, wherein the state of charge value calculation formula is:

[0009]

[0010] Wherein, Δ(m) is the difference sequence of the state of charge of the energy storage at the t+1th time point and the tth time point, m is the mth time point in the state of charge difference sequence, m∈[1,23], and SOC(t) is the state of charge of the energy storage at the tth time point. The state of charge difference before and after each energy storage pre-dispatch plan is used to generate the energy storage state of charge sequence, and the continuous interval in which the energy storage state of charge sequence is all zero before the continuous discharge interval of the energy storage is used as the physically allocable interval.

[0011] Optionally, in one embodiment of the present application, generating an economically allocable interval based on peak and valley electricity prices includes: using time-of-use electricity prices to characterize energy storage economic constraints, and calculating the price difference of energy storage before and after the pre-dispatch plan, wherein the formula for calculating the price difference is:

[0012]

[0013] Wherein, φ(n) is the price difference sequence of energy storage at the t+1th time point and the tth time point, t∈[1,24], n is the nth time point of the price difference sequence, n∈[1,23], and P(t) is the electricity price at the tth moment. The price difference before and after each energy storage pre-dispatch plan is used to generate the energy storage price difference sequence Δ(n), and the continuous interval where the energy storage price difference sequence is zero is used as the energy storage economically allocable interval.

[0014] Optionally, in one embodiment of the present application, the remaining capacity at each time point in the allocatable interval is calculated based on the contract volume of the optimized allocatable interval, wherein the remaining capacity calculation formula is:

[0015]

[0016] in, To optimize the remaining capacity of the allocatable interval at the jth time point, P p is the contract amount, P flow (t) is the load forecast at the jth time point plus the energy storage charging capacity.

[0017] Optionally, in one embodiment of the present application, the energy storage charging capacity at each time point is allocated according to the remaining capacity ratio at each time point, wherein the calculation formula for the energy storage charging capacity at each time point is:

[0018]

[0019] Among them, Q j is the allocated charging capacity at the jth time point in the optimized allocable interval after the secondary allocation of the energy storage pre-dispatching capacity, (SOC max -SOC min ) is the total charging capacity required for energy storage, SOC min The preset minimum state of charge, SOC max is the preset maximum state of charge, To optimize the remaining capacity of the allocatable interval at the jth time point, P L To optimize the total remaining capacity of the allocatable interval.

[0020] The second aspect of the present application provides a conservative collaborative control device for energy storage resources, including: a judgment module for judging whether the sum of the energy storage charging capacity and the load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatching plan is greater than a preset contract amount; an allocation module for generating a physical allocable interval of energy storage according to a preset energy storage state of charge curve when it is greater than the preset contract amount, and generating an economic allocable interval of energy storage according to the peak and valley electricity price peak; a control module for constructing an optimized allocable interval for energy storage pre-dispatching redistribution according to the intersection of the physical allocable interval of energy storage and the economic allocable interval of energy storage, and calculating the remaining capacity at each time point of the allocable interval according to the contract amount of the optimized allocable interval, and allocating the energy storage charging capacity at each time point according to the ratio of the remaining capacity at each time point.

[0021] Optionally, in one embodiment of the present application, the allocation module includes:

[0022] The first calculation unit is configured to calculate the state of charge value of the energy storage at the pre-dispatch capacity time point by using the state of charge to characterize the physical constraints of the energy storage, wherein the state of charge value calculation formula is:

[0023]

[0024] Wherein, Δ(m) is the state of charge difference sequence between the energy storage at time point t+1 and time point t, m is the mth time point of the state of charge difference sequence, m∈[1,23], SOC(t) is the state of charge of the energy storage at time point t;

[0025] The first generating unit is configured to generate an energy storage state of charge sequence by using the charge state difference before and after each energy storage pre-dispatching plan, and to use a continuous interval in which all the energy storage state of charge sequences are zero and located before the energy storage continuous discharging interval as the physically allocable interval.

[0026] Optionally, in one embodiment of the present application, the allocation module includes:

[0027] The second calculation unit is used to use the time-of-use electricity price to represent the energy storage economic constraint and calculate the electricity price difference before and after the pre-dispatch plan. The electricity price difference calculation formula is:

[0028]

[0029] Wherein, φ(n) is the difference sequence of energy storage electricity prices at the t+1th time point and the tth time point, t∈[1,24], n is the nth time point of the electricity price difference sequence, n∈[1,23], and P(t) is the electricity price at the tth moment; the second generation unit is used to generate the energy storage electricity price difference sequence Δ(n) using the electricity price difference before and after each energy storage pre-dispatch plan, and take the continuous interval in which the energy storage electricity price difference sequence is zero as the energy storage economically allocable interval.

[0030] Optionally, in one embodiment of the present application, the remaining capacity calculation formula is:

[0031]

[0032] in, To optimize the remaining capacity of the allocatable interval at the jth time point, P p is the contract amount, P flow (t) is the load forecast at the jth time point plus the energy storage charging capacity.

[0033] Optionally, in one embodiment of the present application, the calculation formula for the energy storage charging capacity at each time point is:

[0034]

[0035] Among them, Q j is the allocated charging capacity at the jth time point in the optimized allocable interval after the secondary allocation of the energy storage pre-dispatching capacity, (SOC max -SOC min ) is the total charging capacity required for energy storage, SOC min The preset minimum state of charge, SOC max is the preset maximum state of charge, To optimize the remaining capacity of the allocatable interval at the jth time point, P L To optimize the total remaining capacity of the allocatable interval.

[0036] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to execute the conservative collaborative control method for energy storage resources as described in the above embodiment.

[0037] A fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to perform the conservative collaborative control method for energy storage resources as described in the above embodiments.

[0038] Therefore, this application has at least the following beneficial effects:

[0039] When the sum of the energy storage charging capacity and load power consumption during the charging period preceding the continuous discharge period in the energy storage pre-dispatch plan is greater than the preset contracted quantity, a physical allocable interval for energy storage is generated based on the energy storage state of charge curve, and an economic allocable interval for energy storage is generated based on the peak-valley electricity price. The remaining capacity is constructed based on the difference between the contracted quantity and the load forecast in the allocable interval. The optimized allocable interval for energy storage pre-dispatch redistribution is constructed based on the intersection of the physical allocable interval and the economic allocable interval. The remaining capacity at each time point in the allocable interval is calculated, and the energy storage charging capacity at each time point is allocated according to the proportion of the remaining capacity at each time point. An effective and reasonable energy storage charging capacity allocation method can balance the energy storage charging period and reduce or eliminate high penalties for electricity loads during off-peak electricity periods. This solves the problem of high penalties caused by energy storage charging operations during the execution of the pre-dispatch plan, which exacerbates the energy cost pressure of electricity loads.

[0040] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0042] Figure 1 A flowchart of a method for conservative collaborative control of energy storage resources provided according to an embodiment of the present application;

[0043] Figure 2 A flowchart of determining a physically allocatable interval according to an embodiment of the present application;

[0044] Figure 3 A schematic diagram of a physically allocatable interval provided according to an embodiment of the present application;

[0045] Figure 4 A flowchart of determining an economically allocable interval according to an embodiment of the present application;

[0046] Figure 5 A schematic diagram of an economically allocable interval provided according to an embodiment of the present application;

[0047] Figure 6 A schematic diagram of an intersection of a physically allocatable interval and an economically allocatable interval provided according to an embodiment of the present application;

[0048] Figure 7 This is an example diagram of a conservative collaborative control device for energy storage resources according to an embodiment of the present application;

[0049] Figure 8 A schematic diagram of the structure of an electronic device provided in an application embodiment.

[0050] Description of the accompanying drawings: judgment module-100, allocation module-200, control module-300, memory-801, processor-802, communication interface-803. DETAILED DESCRIPTION

[0051] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0052] The following describes the conservative collaborative control method, device, electronic device and storage medium of the energy storage resources of the embodiment of the present application with reference to the accompanying drawings. In response to the problems mentioned in the above background technology center, the present application provides a conservative collaborative control method for energy storage resources, in which the method is determined by judging whether the sum of the energy storage charging capacity and the load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatching plan is greater than the preset contract amount; when it is greater than the preset contract amount, the energy storage physical allocable interval is generated according to the energy storage charge state curve, and the energy storage economic allocable interval is generated according to the peak-valley electricity price peak; the remaining capacity is constructed according to the difference between the contract amount and the load forecast of the allocable interval, the optimized allocable interval of the energy storage pre-dispatching redistribution is constructed according to the intersection of the energy storage physical allocable interval and the energy storage economic allocable interval, and the remaining capacity at each time point in the allocable interval is calculated, and the energy storage charging capacity at each time point is allocated according to the ratio of the remaining capacity at each time point. Through an effective and reasonable energy storage charging capacity allocation method, the energy storage charging period can be balanced, and the high penalty for electricity load during non-peak power consumption periods can be reduced or eliminated. This solves the problems of high penalties caused by energy storage executing pre-dispatching plans for charging operations, exacerbating the pressure on electricity load and energy costs.

[0053] Specifically, Figure 1 A flowchart of a conservative collaborative control method for energy storage resources provided in an embodiment of the present application.

[0054] The embodiments of this application propose a conservative control strategy for energy storage resources that takes into account forecast uncertainty under peak and valley electricity prices, which can adjust the energy storage scheduling optimization model. The energy storage scheduling optimization model uses energy storage charging and discharging behavior as variables and minimizes energy costs as the goal to achieve economic operation of production and consumption users. The energy storage scheduling optimization model can be expressed as:

[0055]

[0056] Among them, P EC F is the electricity cost, which is settled according to the time-of-use electricity price; DCIt is a capacity fee and is settled according to the capacity price; and They are the discharge instruction and charge instruction of energy storage respectively, and I is a 0-1 variable.

[0057] like Figure 1 As shown, the energy storage resource conservative collaborative control method includes the following steps:

[0058] In step S101, it is determined whether the sum of the energy storage charging capacity and the load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatching plan is greater than the preset contract amount.

[0059] Optionally, in one embodiment of the present application, determining whether the sum of the energy storage charging capacity and the load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatching plan exceeds the preset contract amount includes: determining whether the energy storage state of charge at a certain moment is equal to the preset minimum state of charge value, and determining whether the sum of the load forecast of the power system at a certain moment and the energy storage charging capacity is greater than the preset contract amount, and the energy storage state of charge is greater than the preset minimum state of charge value.

[0060] It is understandable that, given the uncertainty of load forecasting, the energy storage charging capacity in the energy storage pre-dispatch plan is too concentrated, resulting in high penalties. It is necessary to determine whether the energy storage charging capacity plus the load power consumption at that time exceeds the contracted amount during the charging period before the continuous discharge period in the energy storage pre-dispatch plan. The specific judgment method is as follows:

[0061] 1) Diagnosis of energy storage resource depletion status;

[0062] The energy storage charge state at a certain moment is the set minimum charge state;

[0063] SOC(t)=SOC min t∈[1,24] (2)

[0064] Among them, SOC(t) is the state of charge of the energy storage at the tth time point; SOC min The minimum state of charge is set.

[0065] 2) Diagnosis of misoperation of energy storage resources due to overestimation of prediction errors;

[0066] The system's load forecast at a certain moment plus the energy storage charging capacity is greater than the contracted amount, and the energy storage state of charge at time t is greater than the minimum state of charge;

[0067]

[0068] Among them, P flow (t) is the system load forecast at the tth moment plus the energy storage charging capacity; P pis the contract amount; T re It is the moment before the continuous discharge starts in the energy storage pre-dispatch plan.

[0069] In step S102 , when the energy storage capacity is greater than the preset contract capacity, a physically allocable energy storage interval is generated according to a preset energy storage state of charge curve, and an economically allocable energy storage interval is generated according to the peak and valley electricity prices.

[0070] It is understandable that when the pre-dispatching plan meets both conditions of the above-mentioned embodiment, it is necessary to change and optimize the pre-dispatching plan, and to redistribute the energy storage charging capacity by determining the allocatable interval, so as to avoid the high penalty imposed when the power load exceeds the contracted power consumption.

[0071] Optionally, in one embodiment of the present application, generating a physically allocable interval based on a preset energy storage state of charge curve includes: using the state of charge to characterize the physical constraints of the energy storage, and calculating the state of charge value of the energy storage at the pre-dispatching capacity time point, wherein the state of charge value calculation formula is:

[0072]

[0073] Wherein, Δ(m) is the state of charge difference sequence between the energy storage at time point t+1 and time point t, m is the mth time point of the state of charge difference sequence, m∈[1,23], SOC(t) is the state of charge of the energy storage at time point t;

[0074] The charge state difference before and after each energy storage pre-dispatch plan is used to generate the energy storage charge state sequence, and the continuous interval of the energy storage charge state sequence with all zeros before the energy storage continuous discharge interval is used as the physically assignable interval.

[0075] In the embodiments of the present application, first, Figure 2 As shown in Figure 1, the state of charge is used to characterize the physical constraints of energy storage, and the state of charge value of the energy storage at the pre-dispatch capacity time point is calculated. The calculation formula is shown in Equation (4). A negative difference in the state of charge between the previous and next moments indicates that the energy storage is in a discharging state, a zero difference in the state of charge between the previous and next moments indicates that the energy storage is in a non-charging or discharging state, and a positive difference in the state of charge between the previous and next moments indicates that the energy storage is in a charging state.

[0076] Secondly, the difference in the state of charge before and after the energy storage pre-dispatch plan forms the energy storage state of charge sequence Δ(ti). The physically assignable interval is a continuous interval where all the energy storage state of charge sequence values ​​are zero, and this interval is located before the energy storage continuous discharge interval, such as Figure 3 As shown, the specific physical allocatable interval can be expressed as:

[0077] ψ(m)=[Δ(m), Δ(m+i),..., Δ(m+j)] 1<<i<<j<<T re(5)

[0078] Among them, ψ(m) is the physically allocable interval; T re It is the first moment of the continuous discharge interval of the energy storage pre-dispatch plan.

[0079] Optionally, in one embodiment of the present application, generating an economically allocable interval based on peak and valley electricity prices includes: using time-of-use electricity prices to characterize energy storage economic constraints, and calculating the price difference of energy storage before and after the pre-dispatch plan, wherein the formula for calculating the price difference is:

[0080]

[0081] Where φ(n) is the price difference sequence of the energy storage at time points t+1 and t, t∈[1,24], n is the nth time point of the price difference sequence, n∈[1,23], and P(t) is the electricity price at time point t.

[0082] The electricity price difference before and after each energy storage pre-dispatch plan is used to generate the energy storage electricity price difference sequence Δ(n), and the continuous interval where the energy storage electricity price difference sequence is zero is used as the energy storage economically allocable interval.

[0083] In the embodiments of the present application, Figure 4 As shown in Figure 6, the time-of-use electricity price is used to characterize the energy cost constraint of energy storage, and the price difference of energy storage before and after the pre-dispatch plan is calculated. The calculation formula is shown in Formula (6).

[0084] (According to the price difference before and after each energy storage pre-dispatch plan, the energy storage electricity price difference sequence Δ(n) is formed. Considering the energy storage cost constraint, the economically allocable interval of energy storage charging must be the interval with the same electricity price, that is, the continuous interval with zero in the sequence is the economically allocable interval of energy storage, such as Figure 5 Specifically:

[0085]

[0086] in, is the kth economically allocable interval selected.

[0087] In step S103, an optimized allocable interval for energy storage pre-dispatch redistribution is constructed based on the intersection of the physically allocable interval and the economically allocable interval. The remaining capacity at each time point in the allocable interval is calculated based on the contract volume of the optimized allocable interval, and the energy storage charging capacity at each time point is allocated according to the ratio of the remaining capacity at each time point.

[0088] Optionally, in one embodiment of the present application, the remaining capacity at each time point in the allocatable interval is calculated based on the contract volume of the optimized allocatable interval, wherein the remaining capacity calculation formula is:

[0089]

[0090] in, To optimize the remaining capacity of the allocatable interval at the jth time point, P p is the contract amount, P flow (t) is the load forecast at the jth time point plus the energy storage charging capacity.

[0091] Optionally, in one embodiment of the present application, the energy storage charging capacity at each time point is allocated according to the remaining capacity ratio at each time point, wherein the calculation formula of the energy storage charging capacity at each time point is:

[0092]

[0093] Among them, Q j is the allocated charging capacity at the jth time point in the optimized allocable interval after the secondary allocation of the energy storage pre-dispatching capacity, (SOC max -SOC min ) is the total charging capacity required for energy storage, SOC min The preset minimum state of charge, SOC max is the preset maximum state of charge, To optimize the remaining capacity of the allocatable interval at the jth time point, P L To optimize the total remaining capacity of the allocatable interval.

[0094] In the embodiments of this application, Figure 6 As shown in the figure, the physical allocable interval and the economic allocable interval are used to form a cross interval to obtain the allocable interval for the secondary allocation of energy storage pre-dispatch capacity, which is specifically expressed as:

[0095] [P forecast (1),…,P forecast (j),…,P forecast (J)]j∈[1,J] (10)

[0096] Among them, P forecast (j) is the load forecast at the jth time point in the allocable interval; J is the time point included in the allocable interval.

[0097] After determining the allocatable interval, the contract volume is used to calculate the remaining capacity at any point in time within the allocatable interval. The energy storage charging capacity at each point in time is allocated according to the proportion of the remaining capacity at each point in time, thus achieving secondary allocation of the energy storage pre-dispatch capacity:

[0098] 1) Calculate the remaining capacity using formula (8);

[0099] 2) Calculate the remaining capacity of the allocatable interval:

[0100]

[0101] Among them, P L is the total remaining capacity of the allocatable interval;

[0102] 3) Calculate the energy storage allocation capacity using formula (9).

[0103] According to a conservative collaborative control method for energy storage resources proposed in an embodiment of the present application, taking into account the uncertainty of load forecasting and the limitations of the mixed integer linear programming solution method, the judgment conditions for energy storage pre-dispatching redistribution are proposed to address the problem of high penalties caused by the total electricity consumption exceeding the contract amount during the off-peak period in the energy storage pre-dispatching plan. Secondly, a physical allocable interval based on the energy storage state of charge curve is proposed, and a scheme for determining the economic allocable interval based on the peak-valley electricity price peak is constructed. The intersection of the physical allocable interval and the economic allocable interval of energy storage is sought to construct the final feasible domain of energy storage pre-dispatching redistribution. Finally, the remaining capacity is constructed based on the difference between the contract amount and the load forecast in the allocable interval. Therefore, through an effective and reasonable energy storage charging capacity allocation method, the energy storage charging period can be balanced, and the high penalties for electricity loads during off-peak electricity consumption periods can be reduced or eliminated. As a result, the high penalties caused by the execution of the pre-dispatching plan for charging operations are solved, which aggravates the pressure on the energy consumption cost of electricity loads.

[0104] Next, a conservative collaborative control device for energy storage resources proposed according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0105] Figure 7 This is an example diagram of a conservative collaborative control device for energy storage resources according to an embodiment of the present application.

[0106] like Figure 7 As shown, the energy storage resource conservative collaborative control device 10 includes: a judgment module 100, an allocation module 200 and a control module 300.

[0107] Determination module 100 is used to determine whether the sum of the energy storage charging capacity and load power consumption during the charging period preceding the continuous discharge period in the energy storage pre-dispatch plan is greater than the preset contracted capacity. Allocation module 200 is used to generate a physically allocable energy storage interval based on a preset energy storage state of charge curve, and to generate an economically allocable energy storage interval based on peak and valley electricity prices, when the sum is greater than the preset contracted capacity. Control module 300 is used to construct an optimized allocable energy storage interval for pre-dispatch reallocation based on the intersection of the physically allocable energy storage interval and the economically allocable energy storage interval, calculate the remaining capacity at each time point in the allocable energy storage interval based on the contracted capacity of the optimized allocable energy storage interval, and allocate the energy storage charging capacity at each time point according to the proportion of the remaining capacity at each time point.

[0108] Optionally, in one embodiment of the present application, the allocation module 200 includes:

[0109] The first calculation unit is configured to calculate the state of charge value of the energy storage at the pre-dispatch capacity time point by using the state of charge to characterize the physical constraints of the energy storage, wherein the state of charge value calculation formula is:

[0110]

[0111] Wherein, Δ(m) is the state of charge difference sequence between the energy storage at time point t+1 and time point t, m is the mth time point in the state of charge difference sequence, m∈[1,23], and SOC(t) is the state of charge of the energy storage at time point t.

[0112] The first generating unit is configured to generate an energy storage state of charge sequence using the charge state difference before and after each energy storage pre-dispatching plan, and to use a continuous interval in which the energy storage state of charge sequence is all zero and located before the energy storage continuous discharge interval as a physically allocable interval.

[0113] Optionally, in one embodiment of the present application, the allocation module 200 includes:

[0114] The second calculation unit is used to use the time-of-use electricity price to represent the energy storage economic constraint and calculate the electricity price difference before and after the pre-dispatch plan. The electricity price difference calculation formula is:

[0115]

[0116] Where φ(n) is the price difference sequence of the energy storage at time points t+1 and t, t∈[1,24], n is the nth time point of the price difference sequence, n∈[1,23], and P(t) is the electricity price at time point t.

[0117] The second generating unit is used to generate an energy storage electricity price difference sequence Δ(n) using the electricity price difference before and after each energy storage pre-dispatch plan, and to use the continuous interval where the energy storage electricity price difference sequence is zero as the energy storage economically allocable interval.

[0118] Optionally, in one embodiment of the present application, the remaining capacity calculation formula is:

[0119]

[0120] in, To optimize the remaining capacity of the allocatable interval at the jth time point, P p is the contract amount, P flow (t) is the load forecast at the jth time point plus the energy storage charging capacity.

[0121] Optionally, in one embodiment of the present application, the calculation formula for the energy storage charging capacity at each time point is:

[0122]

[0123] Among them, Q j is the allocated charging capacity at the jth time point in the optimized allocable interval after the secondary allocation of the energy storage pre-dispatching capacity, (SOC max -SOC min ) is the total charging capacity required for energy storage, SOC min The preset minimum state of charge, SOC max is the preset maximum state of charge, To optimize the remaining capacity of the allocatable interval at the jth time point, P L To optimize the total remaining capacity of the allocatable interval.

[0124] It should be noted that the above explanation of an embodiment of a method for conservative collaborative control of energy storage resources is also applicable to an apparatus for conservative collaborative control of energy storage resources in this embodiment, and will not be repeated here.

[0125] According to a conservative collaborative control device for energy storage resources proposed in an embodiment of the present application, taking into account the uncertainty of load forecasting and the limitations of the mixed integer linear programming solution method, the judgment conditions for energy storage pre-dispatching redistribution are proposed to address the problem of high penalties caused by the total electricity consumption exceeding the contract amount during the off-peak period in the energy storage pre-dispatching plan. Secondly, a physical allocable interval based on the energy storage state of charge curve is proposed, and a scheme for determining the economic allocable interval based on the peak-valley electricity price peak is constructed. The intersection of the physical allocable interval and the economic allocable interval of energy storage is sought to construct the final feasible domain of energy storage pre-dispatching redistribution. Finally, the remaining capacity is constructed based on the difference between the contract amount and the load forecast in the allocable interval. Through an effective and reasonable energy storage charging capacity allocation method, the energy storage charging period can be balanced, and the high penalties for electricity loads during off-peak electricity consumption periods can be reduced or eliminated. As a result, the high penalties caused by the execution of the pre-dispatching plan for charging operations are solved, which aggravates the pressure on the energy consumption cost of electricity loads.

[0126] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0127] A memory 801 , a processor 802 , and a computer program stored in the memory 801 and executable on the processor 802 .

[0128] When the processor 802 executes the program, a conservative coordinated control method for energy storage resources provided in the above embodiment is implemented.

[0129] Furthermore, the electronic device further includes:

[0130] The communication interface 803 is used for communication between the memory 801 and the processor 802 .

[0131] The memory 801 is used to store computer programs that can be run on the processor 802.

[0132] The memory 801 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0133] If the memory 801, processor 802, and communication interface 803 are implemented independently, the communication interface 803, memory 801, and processor 802 can be connected to each other via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0134] Optionally, in a specific implementation, if the memory 801, the processor 802 and the communication interface 803 are integrated on a chip, the memory 801, the processor 802 and the communication interface 803 can communicate with each other through an internal interface.

[0135] The processor 802 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0136] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the above-mentioned conservative collaborative control method for energy storage resources.

[0137] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0138] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0139] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0140] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0141] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

Claims

1. A conservative collaborative control method for energy storage resources, characterized in that: The following steps are involved: Determine whether the sum of the energy storage charging capacity and load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatch plan is greater than the preset contract amount; When the amount is greater than the preset contract amount, the energy storage physical allocable interval is generated according to the preset energy storage state of charge curve, and the energy storage economic allocable interval is generated according to the peak and valley electricity prices; Constructing an optimized allocatable interval for energy storage pre-dispatch redistribution based on the intersection of the physically allocatable interval and the economically allocatable interval, calculating the remaining capacity at each time point in the allocatable interval based on the contracted volume of the optimized allocatable interval, and allocating the energy storage charging capacity at each time point according to the ratio of the remaining capacity at each time point; Generating a physically allocatable interval according to a preset energy storage state of charge curve includes: The state of charge is used to characterize the physical constraints of energy storage, and the state of charge value of the energy storage at the pre-dispatch capacity time point is calculated. The state of charge value calculation formula is: Wherein, Δ(m) is the state of charge difference sequence between the energy storage at time point t+1 and time point t, m is the mth time point of the state of charge difference sequence, m∈[1,23], SOC(t) is the state of charge of the energy storage at time point t; Generating an energy storage state of charge sequence using the charge state difference before and after each energy storage pre-dispatching plan, and taking a continuous interval in which the energy storage state of charge sequence is all zero and located before the energy storage continuous discharge interval as the physically allocable interval; The generation of economically allocable intervals based on peak and valley electricity prices includes: The time-of-use electricity price is used to represent the economic constraints of energy storage, and the price difference before and after the pre-dispatch plan is calculated. The formula for calculating the price difference is: Where φ(n) is the price difference sequence of the energy storage at time points t+1 and t, t∈[1,24], n is the nth time point of the price difference sequence, n∈[1,23], and P(t) is the electricity price at time point t. The electricity price difference before and after each energy storage pre-dispatching plan is used to generate an energy storage electricity price difference sequence Δ(n), and the continuous interval where the energy storage electricity price difference sequence is zero is used as the energy storage economically allocable interval.

2. The method according to claim 1, characterized in that The determining whether the sum of the energy storage charging capacity and the load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatching plan exceeds the preset contract amount includes: While determining whether the energy storage state of charge at a certain moment is equal to the preset minimum state of charge, it is also determined whether the sum of the load forecast of the power system at a certain moment and the energy storage charging capacity is greater than the preset contract amount, and the energy storage state of charge is greater than the preset minimum state of charge.

3. The method according to claim 1, characterized in that The remaining capacity at each time point in the allocatable interval is calculated based on the contract volume of the optimized allocatable interval, wherein the remaining capacity calculation formula is: in, To optimize the remaining capacity of the allocatable interval at the jth time point, P p is the contract amount, P flow (t) is the load forecast at the jth time point plus the energy storage charging capacity.

4. The method according to claim 1, wherein The energy storage charging capacity at each time point is allocated according to the remaining capacity ratio at each time point, wherein the calculation formula of the energy storage charging capacity at each time point is: Among them, Q j is the allocated charging capacity at the jth time point in the optimized allocable interval after the secondary allocation of the energy storage pre-dispatching capacity, (SOC max -SOC min ) is the total charging capacity required for energy storage, SOC min The preset minimum state of charge, SOC max is the preset maximum state of charge, To optimize the remaining capacity of the allocatable interval at the jth time point, P L To optimize the total remaining capacity of the allocatable interval.

5. A conservative collaborative control device for energy storage resources, characterized in that: include: A judgment module, configured to judge whether the sum of the energy storage charging capacity and the load power consumption in the charging period before the continuous discharge period in the energy storage pre-dispatching plan is greater than a preset contract amount; an allocation module, configured to generate a physically allocable energy storage interval according to a preset energy storage state of charge curve and an economically allocable energy storage interval according to peak and valley electricity prices when the energy storage amount exceeds the preset contract amount; a control module configured to construct an optimized allocatable interval for energy storage pre-dispatching and redistribution based on the intersection of the physically allocatable interval and the economically allocatable interval, calculate the remaining capacity at each time point in the allocatable interval based on the contracted volume of the optimized allocatable interval, and allocate the energy storage charging capacity at each time point according to the ratio of the remaining capacity at each time point; The allocation module includes: The first calculation unit is configured to calculate the state of charge value of the energy storage at the pre-dispatching capacity time point by using the state of charge to characterize the physical constraints of the energy storage, wherein the state of charge value calculation formula is: Wherein, Δ(m) is the state of charge difference sequence between the energy storage at time point t+1 and time point t, m is the mth time point of the state of charge difference sequence, m∈[1,23], SOC(t) is the state of charge of the energy storage at time point t; a first generating unit, configured to generate an energy storage state of charge sequence using the charge state differences before and after each energy storage pre-dispatching plan, and to use a continuous interval in which all zeros in the energy storage state of charge sequence are located before the energy storage continuous discharge interval as the physically allocable interval; The allocation module includes: The second calculation unit is used to use the time-of-use electricity price to represent the energy storage economic constraint and calculate the electricity price difference before and after the pre-dispatch plan. The electricity price difference calculation formula is: Where φ(n) is the price difference sequence of the energy storage at time points t+1 and t, t∈[1,24], n is the nth time point of the price difference sequence, n∈[1,23], and P(t) is the electricity price at time point t. The second generating unit is used to generate an energy storage electricity price difference sequence Δ(n) by using the electricity price difference before and after each energy storage pre-dispatching plan, and to use the continuous interval where the energy storage electricity price difference sequence is zero as the energy storage economically allocable interval.

6. The device according to claim 5, characterized in that The judgment module is further used to judge whether the energy storage state of charge at a certain moment is equal to a preset minimum state of charge, and at the same time, judge whether the sum of the load forecast and the energy storage charging capacity of the power system at a certain moment is greater than the preset contract amount, and the energy storage state of charge is greater than the preset minimum state of charge.

7. The device according to claim 5, characterized in that The remaining capacity calculation formula is: in, To optimize the remaining capacity of the allocatable interval at the jth time point, P p is the contract amount, P flow (t) is the load forecast at the jth time point plus the energy storage charging capacity.

8. The device according to claim 5, characterized in that The calculation formula for the energy storage charging capacity at each time point is: Among them, Q j is the allocated charging capacity at the jth time point in the optimized allocable interval after the secondary allocation of the energy storage pre-dispatching capacity, (SOC max -SOC min ) is the total charging capacity required for energy storage, SOC min The preset minimum state of charge, SOC max is the preset maximum state of charge, To optimize the remaining capacity of the allocatable interval at the jth time point, P L To optimize the total remaining capacity of the allocatable interval.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for conservative collaborative control of energy storage resources according to any one of claims 1 to 4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the conservative collaborative control method for energy storage resources as described in any one of claims 1 to 4.

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