Basic electricity price calculation mode determination method and device, equipment, medium and product

Abstract

The invention discloses a basic electricity price calculation mode determination method and device, equipment, a medium and a product, and relates to the technical field of power grid dispatching. According to the disclosed basic electricity price valuation mode determination method, in combination with the predicted time-sharing electricity purchase cost, the predicted energy storage depreciation cost, the predicted return electricity supply and sale cost, the predicted electric energy quality punishment cost, the predicted carbon transaction cost and the predicted operation and maintenance cost of the micro-grid in the next scheduling period, the time-sharing electricity price valuation mode of the micro-grid in different valuation modes is determined. And determining the target pricing mode of the basic electricity price of the micro-grid in the next scheduling period according to the comparison result of different comprehensive costs according to the comprehensive cost of the micro-grid in the next scheduling period. The pricing mode obtained by the invention better accords with the actual operation condition of the micro-grid, and the technical problem of how to reasonably change the pricing mode of the basic electricity price on the basis of multi-stage energy regulation and control and realize energy regulation and control and cost optimization of the industrial park is solved.

Description

Technical Field

[0001] The present application relates to the technical field of power grid dispatching, and in particular to a method, device, equipment, medium and product for determining a basic electricity price pricing method. Background Art

[0002] With the development of industry and social progress, the energy demand of industrial parks is increasing. Problems such as unstable power supply and electricity price fluctuations in large power grids have brought challenges to the energy supply and cost management of industrial parks. In order to solve these problems, energy storage technology has become an effective energy regulation method in the microgrid corresponding to industrial parks.

[0003] In the relevant technology, the pricing method of the basic electricity price of the microgrid corresponding to the industrial park mainly adopts the two-part electricity price. The "Notice on Improving the Implementation Method of the Basic Electricity Price for Users of the Two-Part Electricity Price" (Fagaiban Price

[2016] No. 1583) points out that the pricing method of the basic electricity price includes pricing according to the transformer capacity or pricing according to the maximum demand. In the process of energy regulation, users can dynamically change the pricing method of the basic electricity price of the microgrid, thereby changing the capacity and demand of the microgrid to reduce the electricity cost of the industrial park. Among them, the change cycle of the pricing method of the basic electricity price is adjusted from annual changes to quarterly changes. Users can apply to the power grid company 15 working days in advance to change the pricing method of the basic electricity price for the next quarter. Therefore, how to reasonably change the pricing method of the basic electricity price on the basis of multi-stage energy regulation to achieve energy regulation and cost optimization in industrial parks needs to be solved urgently. Summary of the invention

[0004] The main purpose of this application is to provide a method, device, equipment, medium and product for determining a basic electricity price, aiming to solve the technical problem of how to reasonably change the basic electricity price pricing method on the basis of multi-stage energy regulation to achieve energy regulation and cost optimization in industrial parks.

[0005] To achieve the above purpose, the present application proposes a method for determining a basic electricity price pricing method, which is applied to a basic electricity price pricing method determination terminal. The basic electricity price pricing method determination method includes:

[0006] When the preset conditions are met on the current dispatch day, the first basic electricity fee in the next dispatch cycle after the current dispatch cycle is determined according to the target transformer capacity and capacity electricity price of the microgrid;

[0007] Determine a second basic electricity fee in the next scheduling period according to a first predicted maximum demand of the microgrid in the next scheduling period and a corresponding demand electricity price;

[0008] Determine the first comprehensive cost in the next dispatching cycle based on the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted electricity return and sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the first basic electricity cost of the microgrid in the next dispatching cycle;

[0009] Determine the second comprehensive cost in the next dispatch cycle based on the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted electricity sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the second basic electricity cost;

[0010] According to the comparison result of the first comprehensive cost and the second comprehensive cost, a target pricing method of the basic electricity price of the microgrid in the next dispatching cycle is determined.

[0011] In one embodiment, after the step of determining the target pricing method of the basic electricity price of the microgrid in the next scheduling period according to the comparison result of the first comprehensive cost and the second comprehensive cost, the basic electricity price pricing method determination method further includes:

[0012] If the target pricing method is pricing based on maximum demand, the monthly scheduling model of the microgrid is used in the next scheduling cycle to determine the monthly scheduling plan of multiple devices to be scheduled in the microgrid according to the first predicted load power, the first predicted power generation power and the target pricing method of the microgrid in the target scheduling month;

[0013] According to the monthly dispatch plan, determine the second predicted maximum demand of the microgrid within the target dispatch month;

[0014] According to the second predicted maximum demand, the maximum demand of the microgrid within the target scheduling month is adjusted.

[0015] In one embodiment, after the step of determining the target pricing method of the basic electricity price of the microgrid in the next scheduling period according to the comparison result of the first comprehensive cost and the second comprehensive cost, the basic electricity price pricing method determination method further includes:

[0016] In the current scheduling day, the second predicted load power of the microgrid after the current moment and the net load power deviation of the microgrid at the current moment are obtained;

[0017] Using the intraday dispatch model of the microgrid, according to the second predicted load power and the current pricing method of the basic electricity price in the current dispatch cycle, the day-ahead dispatch plan of the current dispatch day is updated to obtain the intraday dispatch plan;

[0018] According to the net load power deviation, the daily dispatch plan is adjusted to obtain the real-time dispatch plan;

[0019] According to the real-time dispatch plan, dispatch each device to be dispatched in the microgrid.

[0020] In one embodiment, the method for determining the basic electricity price pricing method further includes: using the intraday scheduling model of the microgrid to update the day-ahead scheduling plan of the current scheduling day according to the first predicted load power, and before obtaining the intraday scheduling plan, the method further includes:

[0021] In the previous dispatching day before the current dispatching day, obtaining the third predicted load power of the current dispatching day;

[0022] The day-ahead dispatch model of the microgrid is used to determine the day-ahead dispatch plan of the microgrid in the current dispatch day according to the third predicted load power and the current pricing method.

[0023] In one embodiment, after the step of determining the second basic electricity fee in the next scheduling period according to the first predicted maximum demand of the microgrid in the next scheduling period and the corresponding demand electricity price, the basic electricity price pricing method determination method further includes:

[0024] Obtain the real-time predicted power generation and load power of the microgrid in the next scheduling cycle;

[0025] Determine the real-time predicted charging and discharging power of the energy storage device according to the real-time predicted power generation, the real-time predicted load power and the charging and discharging constraints of the energy storage device of the microgrid;

[0026] According to the real-time predicted power generation, real-time predicted load power, real-time predicted charging and discharging power and the power balance constraint of the microgrid, the real-time predicted interaction power between the microgrid and the large grid is determined;

[0027] According to each real-time predicted interactive power in the next dispatching cycle, the corresponding predicted power purchase power or predicted power sale power is determined;

[0028] Determine the predicted time-of-use electricity purchase cost based on all predicted power purchase powers and the duration of the next dispatch cycle;

[0029] Based on all predicted electricity sales power and cycle duration, the predicted return electricity sales fee is determined.

[0030] In one embodiment, after the step of determining the second basic electricity fee in the next scheduling period according to the first predicted maximum demand of the microgrid in the next scheduling period and the corresponding demand electricity price, the basic electricity price pricing method determination method further includes:

[0031] Determine the predicted energy storage depreciation cost based on the calendar life, cycle life, and real-time remaining cycle life of the energy storage equipment in the microgrid.

[0032] In addition, to achieve the above purpose, the present application also proposes a basic electricity price pricing method determination device, the basic electricity price pricing method determination device comprising:

[0033] A first electricity fee determination module is used to determine a first basic electricity fee in a next scheduling period after the current scheduling period according to the target transformer capacity and capacity electricity price of the microgrid when the preset conditions are met on the current scheduling day;

[0034] A second electricity fee determination module, used to determine a second basic electricity fee in the next scheduling period according to a first predicted maximum demand of the microgrid in the next scheduling period and a corresponding demand electricity price;

[0035] The first cost determination module is used to determine the first comprehensive cost in the next dispatching cycle according to the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return power sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the first basic electricity fee of the microgrid in the next dispatching cycle;

[0036] The second cost determination module is used to determine the second comprehensive cost in the next dispatching cycle according to the predicted time-of-use electricity purchase cost, the predicted energy storage depreciation cost, the predicted return power sales cost, the predicted power quality penalty cost, the predicted carbon trading cost, the predicted operation and maintenance cost and the second basic electricity cost;

[0037] The pricing method determination module is used to determine the target pricing method of the basic electricity price of the microgrid in the next scheduling cycle according to the comparison result of the first comprehensive cost and the second comprehensive cost.

[0038] In addition, to achieve the above-mentioned purpose, the present application also proposes a device for determining a basic electricity price pricing method, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the method for determining a basic electricity price pricing method as described above.

[0039] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the method for determining the basic electricity price pricing method as described above are implemented.

[0040] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps of the method for determining the basic electricity price pricing method as described above are implemented.

[0041] One or more technical solutions proposed in this application have at least the following technical effects:

[0042] The present application provides a method, device, equipment, medium and product for determining a basic electricity price pricing method. The method combines the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return power sales cost, predicted power quality penalty cost, predicted carbon trading cost and predicted operation and maintenance cost of the microgrid in the next scheduling cycle to determine the comprehensive cost of the microgrid in the next scheduling cycle under different pricing methods. According to the comparison results of different comprehensive costs, the target pricing method of the basic electricity price of the microgrid in the next scheduling cycle is determined. Compared with the pricing method of determining the basic electricity price of the microgrid based on statistical data and empirical rules, the present application takes into account the impact of the predicted operating conditions of the microgrid when determining the comprehensive cost, so that the determined target pricing method of the basic electricity price is more in line with the actual operating conditions of the microgrid, solves the technical problem of how to reasonably change the pricing method of the basic electricity price on the basis of multi-stage energy regulation to achieve energy regulation and cost optimization of the industrial park, and improves the accuracy of the pricing method of the basic electricity price. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 This is a flow chart of the first embodiment of the method for determining the basic electricity price pricing method of the present application;

[0046] Figure 2 This is a flow chart of the second embodiment of the method for determining the basic electricity price pricing method of the present application;

[0047] Figure 3 This is a flow chart of an exemplary real-time power balance in the method for determining the basic electricity price pricing method of the present application;

[0048] Figure 4 This is a module diagram of the first embodiment of the device for determining the basic electricity price calculation method of the present application;

[0049] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the method for determining the basic electricity price calculation method in the embodiment of the present application.

[0050] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0051] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0052] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0053] The main solution of the embodiment of the present application is: when the current scheduling day meets the preset conditions, determine the first basic electricity fee in the next scheduling cycle after the current scheduling cycle according to the target transformer capacity and capacity electricity price of the microgrid; determine the second basic electricity fee in the next scheduling cycle according to the first predicted maximum demand of the microgrid in the next scheduling cycle and the corresponding demand electricity price; determine the first comprehensive cost in the next scheduling cycle according to the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return power sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the first basic electricity fee of the microgrid in the next scheduling cycle; determine the second comprehensive cost in the next scheduling cycle according to the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return power sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the second basic electricity fee; determine the target pricing method of the basic electricity price of the microgrid in the next scheduling cycle according to the comparison result of the first comprehensive cost and the second comprehensive cost.

[0054] With the development of industry and social progress, the energy demand of industrial parks is increasing. Problems such as unstable power supply and electricity price fluctuations in large power grids have brought challenges to the energy supply and cost management of industrial parks. In order to solve these problems, energy storage technology has become an effective energy regulation method in the microgrid corresponding to industrial parks.

[0055] In the relevant technology, the basic electricity price of the microgrid corresponding to the industrial park is mainly calculated by the two-part electricity price. The "Notice on Improving the Implementation Method of the Basic Electricity Price for Users of the Two-Part Electricity Price" (Fagaiban Price

[2016] No. 1583) points out that the basic electricity price can be calculated by transformer capacity or by maximum demand. In the process of energy regulation, users can dynamically change the pricing method of the basic electricity price of the microgrid and reasonably change the capacity and demand of the microgrid to reduce the electricity cost of the industrial park. Among them, the change cycle of the pricing method of the basic electricity price is adjusted from annual change to quarterly change. Users can apply to the power grid company 15 working days in advance to change the pricing method of the basic electricity price for the next quarter.

[0056] However, the relevant microgrid operation and dispatching methods have the following problems:

[0057] The problem of selecting the pricing method of basic electricity price: The pricing method of basic electricity price is often formulated based on statistical data and empirical rules, lacks scientific basis and has low accuracy. Therefore, how to reasonably change the pricing method of basic electricity price on the basis of multi-stage energy regulation, realize energy regulation and cost optimization of industrial parks, and realize accurate calculation of basic electricity fee of microgrid needs to be solved urgently.

[0058] Capacity demand value change problem: The energy demand of the microgrid corresponding to the industrial park will change with the changes in production scale, equipment update and other factors. However, the traditional capacity demand value setting method is often based on a fixed capacity demand value and cannot be adjusted according to the actual demand changes. Therefore, how to achieve dynamic adjustment of the capacity demand value of the microgrid to adapt to the changes in energy demand at different stages, and to achieve efficient use of energy and cost optimization is also an urgent problem to be solved.

[0059] Considering the operation optimization problem of the cycle life and calendar life of energy storage equipment: Energy storage technology plays an important role in the energy dispatch of microgrids, but the operation life and life cost of energy storage equipment are also key factors to be considered in energy dispatch. In related technologies, only the impact of a single cycle life or calendar life on energy dispatch is often considered, resulting in low accuracy of energy dispatch.

[0060] Problems with combining real-time energy scheduling with intraday scheduling results: Real-time energy scheduling strategies usually only consider current energy demand and supply conditions, lack full utilization of intraday scheduling results, and related multi-stage energy scheduling strategies often only achieve 15-minute or 5-minute levels, without considering real-time second-level energy balance.

[0061] Therefore, this application aims to provide a method for determining a basic electricity price for the microgrid corresponding to the industrial park, so as to effectively reduce the basic electricity fee and electricity fee of the microgrid and increase the new energy consumption rate of the microgrid, bring economic and environmental benefits to the industrial park, and promote sustainable development and green energy transformation.

[0062] Therefore, the present application provides a solution. On the first hand, the comprehensive cost of the microgrid in the next scheduling cycle under different pricing methods is determined in combination with the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted power return sales cost, predicted power quality penalty cost, predicted carbon trading cost and predicted operation and maintenance cost of the microgrid in the next scheduling cycle. According to the comparison results of different comprehensive costs, the target pricing method of the basic electricity price of the microgrid in the next scheduling cycle is determined. Compared with the pricing method of determining the basic electricity price of the microgrid based on statistical data and empirical rules, this application takes into account the impact of the predicted operating conditions of the microgrid when determining the comprehensive cost, so that the determined target pricing method of the basic electricity price is more in line with the actual operating conditions of the microgrid, and solves the technical problem of how to reasonably change the pricing method of the basic electricity price on the basis of multi-stage energy regulation to achieve energy regulation and cost optimization of the industrial park, thereby improving the accuracy of the pricing method of the basic electricity price.

[0063] Secondly, when the target pricing method of the basic electricity price of the microgrid is based on maximum demand, the maximum demand of the microgrid is adjusted monthly according to the predicted maximum demand of the microgrid within a scheduling cycle, so that the capacity demand value of the microgrid can be dynamically adjusted according to the actual operation of the microgrid to adapt to the changes in energy demand in different scheduling stages within a scheduling cycle, thereby achieving efficient energy utilization and cost optimization.

[0064] On the third aspect, the present application adjusts the intraday scheduling plan in real time according to the net load power deviation. Since the net load power deviation is determined based on the actual scheduling results and predicted scheduling results of the intraday scheduling plan, the intraday scheduling plan can be adjusted in real time at the second level according to the actual scheduling results of the intraday scheduling plan, and the actual scheduling results of the intraday scheduling plan can be reused, thereby improving the energy scheduling accuracy of the microgrid.

[0065] Fourthly, in this application, the calendar life and cycle life of the energy storage equipment are combined to determine the predicted energy storage depreciation cost of the energy storage equipment, so that the scheduling model of the microgrid can perform energy scheduling based on the predicted energy storage depreciation cost. Compared with considering the impact of a single cycle life or calendar life on energy scheduling, the calendar life and cycle life of the energy storage equipment are comprehensively considered to perform energy scheduling, which is more accurate.

[0066] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a basic electricity price pricing method determination device, etc. The following takes the basic electricity price pricing method determination device as an example to illustrate this embodiment and the following embodiments. Among them, the basic electricity price pricing method determination device may include a basic electricity price pricing method determination terminal and a data storage terminal.

[0067] Based on this, the present application embodiment provides a method for determining a basic electricity price pricing method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for determining the basic electricity price pricing method of the present application.

[0068] In this embodiment, the method for determining the basic electricity price calculation method may include steps S100 to S500:

[0069] Step S100, when the current scheduling day meets the preset conditions, the first basic electricity fee in the next scheduling cycle after the current scheduling cycle is determined according to the target transformer capacity and capacity electricity price of the microgrid.

[0070] Step S200, determining a second basic electricity charge in the next scheduling period according to a first predicted maximum demand of the microgrid in the next scheduling period and a corresponding demand electricity price.

[0071] Step S300, determining the first comprehensive cost in the next scheduling cycle based on the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted power return sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the first basic electricity fee of the microgrid in the next scheduling cycle.

[0072] Step S400, determining the second comprehensive cost in the next scheduling cycle based on the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted power return sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the second basic electricity cost.

[0073] It should be noted that in a microgrid, constraints can usually be determined based on the actual system conditions of the microgrid, and the lowest comprehensive cost can be used as the optimization goal to build an energy dispatch model for the microgrid. The energy dispatch model can be used to generate an energy dispatch plan for the microgrid based on the predicted operation data of the microgrid, and dispatch the equipment to be dispatched in the microgrid. Among them, the predicted operation data can be obtained by using a prediction algorithm based on the historical operation data of the microgrid. The prediction algorithm can be LSTM, ARIMA, XGBoost and other algorithms, and the equipment to be dispatched includes energy storage equipment.

[0074] In this embodiment, the comprehensive cost can include the time-of-use electricity purchase cost of the microgrid, energy storage depreciation cost, power rebate and electricity sales cost, power quality penalty cost, carbon trading cost, operation and maintenance cost and basic electricity cost. Correspondingly, the objective function of the energy scheduling model is as follows:

[0075] minJ=min(C buy -C sell +C buy_bas +C bat +C qual+C carbon +C OM )

[0076]

[0077] Among them, J is the comprehensive cost within the scheduling period T, C buy is the time-of-use electricity purchase cost within the dispatch period T, C sell is the electricity sales fee within the dispatch period T, C buy_bas is the basic electricity fee within the dispatch period T, C bat is the energy storage depreciation cost within the dispatch period T, C qual is the power quality penalty fee within the dispatch period T, C carbon is the carbon trading fee within the scheduling period T, C OM is the operation and maintenance cost within the scheduling period T, p buy (t) represents the electricity purchase price during period t, P buy (t) represents the average power purchased during period t, p sell (t) represents the electricity price of the returned electricity during the period t, P sell (t) represents the average power of the returned electricity sold in period t, F bat represents the initial investment cost of the energy storage equipment, r represents the net present value, B calen represents the calendar life of the energy storage device, B' calen Indicates the remaining calendar life of the energy storage device, B cycle represents the cycle life of the energy storage device, B' cycle represents the remaining cycle life of the energy storage device, b cycle Indicates the number of charge and discharge cycles of the energy storage device within the scheduling period.

[0078] When the basic electricity price is calculated according to the transformer capacity, the basic electricity fee can be determined by the following formula 2:

[0079]

[0080] C buy_bas represents the basic electricity charge, p cap (i) represents the capacity electricity price of the i-th month in a dispatch cycle T, which is based on the published price of the location of the microgrid. S cap (i) represents the transformer capacity in the i-th month. Among them, I is determined according to the number of months in the dispatching cycle T, and the transformer capacity can be determined according to the business expansion and installation of the transformer in the microgrid.

[0081] When the basic electricity price is calculated based on the maximum demand, the basic electricity fee can be determined by the following formula 3:

[0082]

[0083] p dem (i) represents the demand electricity price in the i-th month, which is based on the published price of the microgrid location, P dem (i) represents the maximum demand of the microgrid in the i-th month.

[0084] In addition, the constraints of the energy dispatch model can include power balance constraints, power return constraints, and energy storage device charging and discharging constraints. Among them, the power balance constraint is as follows:

[0085] P grid (t)+P pv (t)+P wind (t)+P bat,dis (t) = P load (t)+P bat,cha (t)

[0086] P buy (t) = max{P gird (t),0}

[0087] P sell (t) = min{P gird (t),0}

[0088] P grid (t) represents the interaction power between the microgrid and the grid during period t, P pv (t) represents the photovoltaic power generation power during period t, P wind (t) represents the wind power generation power in period t, P bat,dis (t) represents the discharge power of the energy storage device during period t; P bat,dis (t) represents the charging power of the energy storage device during period t, P load (t) represents the load power during period t.

[0089] The return power constraint is as follows:

[0090] P sell (t)≤P pv (t)+P wind (t)

[0091] The charge and discharge constraints are as follows:

[0092]

[0093] SOC(t)=(E bat (t) / E bat,max )×100%

[0094] SOC min ≤SOC(t)≤SOCmax

[0095]

[0096] E bat (t-1) is the remaining power of the energy storage device at time t-1, η cha and η dis They are the charging efficiency and discharging efficiency of the energy storage device, SOC(t) is the state of charge of the energy storage device at time t, and SOC min and SOC max are the minimum state of charge and maximum state of charge of the energy storage device, respectively, bat,cha (t) and P bat,dis (t) are the charging power and discharging power of the energy storage device during period t, E bat,max is the maximum battery storage capacity of the energy storage device, U cha (t) and U dis (t) are used to represent the electrical state and discharge state of the energy storage device during time period t, respectively. max is the maximum charging and discharging power of the energy storage device.

[0097] Therefore, based on the above energy scheduling model, during the microgrid scheduling process, different basic electricity charges can be calculated according to different basic electricity prices, and the comprehensive costs corresponding to different basic electricity charges can be predicted. By comparing different comprehensive costs, the pricing method of the basic electricity price of the microgrid can be changed.

[0098] It is understandable that when determining the pricing method of the basic electricity price, the dispatch period T is the change period of the pricing method of the basic electricity price of the microgrid, and preferably, the dispatch period is one quarter. Since the target pricing method of the basic electricity price of the microgrid in the next dispatch period needs to be changed before the next dispatch period, the target pricing method of the basic electricity price in the next dispatch period can be determined in the current dispatch period, and the application for changing the pricing method of the basic electricity price can be submitted in advance if the current dispatch day meets the preset conditions.

[0099] In the specific implementation, if it is determined that the target scheduling day after the preset time after the current scheduling day meets the specified time limit from the previous change day, the basic electricity price pricing method determination method proposed in this embodiment is executed on the current scheduling day, and an application for changing the pricing method of the basic electricity price is submitted.

[0100] In the process of determining the target pricing method, Formula 2 can be used to determine the first basic electricity fee in the next scheduling cycle after the current scheduling cycle based on the target transformer capacity and capacity electricity price of the microgrid. Formula 3 can be used to determine the second basic electricity fee in the next scheduling cycle based on the first predicted maximum demand of the microgrid in the next scheduling cycle and the corresponding demand electricity price. Among them, the target transformer capacity is the transformer capacity in the microgrid in the next scheduling cycle, which can be determined based on the business expansion and installation of the transformer in the microgrid in the next scheduling cycle. The first predicted maximum demand can be determined based on the predicted load power of the microgrid in the next scheduling cycle, the predicted power generation power of the power generation equipment, and the predicted charge and discharge power of the energy storage equipment; the predicted charge and discharge power in the next scheduling cycle can be determined based on the predicted load power and predicted power generation power in the next scheduling cycle using the energy storage scheduling model.

[0101] In a feasible implementation, after step S200, the method for determining the basic electricity price pricing method may further include: obtaining the real-time predicted power generation power and real-time predicted load power of the microgrid in the next scheduling period; determining the real-time predicted charging and discharging power of the energy storage device according to the real-time predicted power generation power, the real-time predicted load power and the charging and discharging constraints of the energy storage device of the microgrid; determining the real-time predicted interactive power between the microgrid and the large power grid according to the real-time predicted power generation power, the real-time predicted load power, the real-time predicted charging and discharging power and the power balance constraints of the microgrid; determining the corresponding predicted power purchase power or predicted power sales power according to each real-time predicted interactive power in the next scheduling period; determining the predicted time-of-use power purchase cost according to all predicted power purchase powers and their corresponding real-time power purchase prices; determining the predicted return power sales cost according to all predicted power sales powers and their corresponding real-time power sales prices.

[0102] It should be noted that after determining the different basic electricity charges, in order to calculate the corresponding comprehensive costs, it is also necessary to determine the various predicted costs required to calculate the comprehensive costs.

[0103] In formula 1, to calculate the predicted time-of-use electricity purchase cost in the next dispatching cycle, it is necessary to first determine the predicted electricity purchase power and real-time electricity purchase price in different time periods in the next dispatching cycle. To calculate the predicted return power and electricity sales cost in the next dispatching cycle, it is necessary to first determine the predicted electricity sales power and real-time electricity sales price in different time periods in the next dispatching cycle. Among them, the predicted electricity purchase power and the predicted electricity sales power can be determined according to the power constraint and the return power constraint. In the power constraint, the real-time predicted power generation power includes the predicted photovoltaic power generation power and the predicted wind power generation power. The real-time predicted power generation power and the real-time predicted load power can be obtained by using the prediction algorithm based on the historical operation data of the power generation equipment and load in the microgrid. The prediction algorithm can be LSTM, ARIMA, XGBoost and other algorithms. The real-time predicted charge and discharge power can be calculated by combining the charge and discharge constraints with the real-time predicted power generation power and the real-time predicted load power.

[0104] In a feasible implementation, after step S200, the method for determining the basic electricity price pricing method may further include: determining the predicted energy storage depreciation cost according to the calendar life, remaining calendar life, cycle life and remaining cycle life of the energy storage equipment in the microgrid.

[0105] It should be noted that, using the energy storage depreciation cost calculation formula in Formula 1, the predicted energy storage depreciation cost can be determined according to the calendar life, remaining calendar life, cycle life and remaining cycle life of the energy storage equipment in the microgrid.

[0106] It can be understood that after determining the predicted costs in the next scheduling cycle, the comprehensive cost calculation formula in Formula 1 can be used to calculate the first comprehensive cost and the second comprehensive cost corresponding to different basic electricity charges.

[0107] Step S500, determining a target pricing method for a basic electricity price of the microgrid in a next scheduling cycle according to a comparison result of the first comprehensive cost and the second comprehensive cost.

[0108] It should be noted that if the first comprehensive cost J cap Less than the second comprehensive cost J dem , then the target pricing method for the basic electricity price of the microgrid in the next dispatching cycle is pricing based on transformer capacity; if the first comprehensive cost J cap Greater than the second comprehensive cost J dem , then the target pricing method for the basic electricity price of the microgrid in the next dispatch cycle is pricing based on the maximum demand; if the first comprehensive cost J cap Equal to the second comprehensive cost J dem , then the target pricing method of the basic electricity price of the microgrid in the next scheduling cycle is the current pricing method of the basic electricity price of the microgrid in the current scheduling cycle.

[0109] It is understandable that after determining the target pricing method for the basic electricity price of the microgrid in the next dispatching cycle, it is also possible to determine whether the target pricing method is the same as the current pricing method for the basic electricity price of the microgrid in the current dispatching cycle to determine whether to apply for a change in the pricing method for the basic electricity price of the microgrid in the next dispatching cycle. If it is necessary to apply for a change in the pricing method for the basic electricity price of the microgrid in the next dispatching cycle, the basic electricity price pricing method determination device can give a suggestion for changing the basic electricity price billing method and the deadline for the change application; if it is not necessary to apply for a change in the pricing method for the basic electricity price of the microgrid in the next dispatching cycle, the basic electricity price pricing method determination device can give a suggestion that there is no need to change the basic electricity price billing method.

[0110] Therefore, this embodiment provides a method for determining a basic electricity price pricing method, combining the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return electricity sales cost, predicted power quality penalty cost, predicted carbon trading cost and predicted operation and maintenance cost of the microgrid in the next scheduling cycle, determining the comprehensive cost of the microgrid in the next scheduling cycle under different pricing methods, and determining the target pricing method of the basic electricity price of the microgrid in the next scheduling cycle according to the comparison results of different comprehensive costs. Compared with the pricing method of determining the basic electricity price of the microgrid based on statistical data and empirical rules, this application takes into account the influence of the predicted operation of the microgrid when determining the comprehensive cost, so that the pricing method of the determined basic electricity price is more in line with the actual operation of the microgrid, and improves the accuracy of the pricing method of the basic electricity price. This application also combines the calendar life and cycle life of the energy storage device to determine the predicted energy storage depreciation cost of the energy storage device, so that the scheduling model of the microgrid can perform energy scheduling according to the predicted energy storage depreciation cost. Compared with considering the impact of a single cycle life or calendar life on energy scheduling, the calendar life and cycle life of the energy storage device are comprehensively considered to perform energy scheduling, and the accuracy is higher.

[0111] In a feasible implementation, after step S500, the method for determining the basic electricity price pricing method may further include: if the target pricing method is pricing based on maximum demand, then using the monthly scheduling model of the microgrid in the next scheduling cycle, according to the first predicted load power, the first predicted power generation power and the target pricing method of the microgrid in the target scheduling month, determine the monthly scheduling plan for multiple devices to be scheduled in the microgrid; according to the monthly scheduling plan, determine the second predicted maximum demand of the microgrid in the target scheduling month; and according to the second predicted maximum demand, adjust the maximum demand of the microgrid in the target scheduling month.

[0112] It should be noted that after determining the target pricing method in the next scheduling cycle, since a scheduling cycle can include multiple scheduling months, the maximum demand or transformer capacity of the microgrid in each scheduling month in the scheduling cycle can be adjusted according to actual conditions in the next scheduling cycle to further optimize the comprehensive cost. Among them, when the target pricing method is pricing by transformer capacity, the transformer capacity of each scheduling month in the next scheduling cycle is determined according to the business expansion and installation of transformers in the microgrid in each scheduling month. When the target pricing method is pricing by maximum demand, the maximum demand of each scheduling month in the next scheduling cycle is determined according to the following implementation method.

[0113] In this embodiment, the first predicted load power and the first predicted power generation are the predicted load power and the predicted power generation of the microgrid in the target scheduling month of the next scheduling cycle. The first predicted load power and the first predicted power generation can also be obtained by predicting the operation data of the microgrid in the previous scheduling month before the target scheduling month using a prediction algorithm. The monthly scheduling plan may include a scheduling plan for an energy storage device, and the scheduling plan for an energy storage device may include a charging and discharging power plan for the energy storage device. Thus, in the previous scheduling month before the target scheduling month, the power balance constraint of the monthly scheduling model is used to determine the second predicted maximum demand in the target scheduling month based on the first predicted load power, the first predicted power generation and the scheduling plan for the energy storage device. The target scheduling month can be any scheduling month in the next scheduling cycle.

[0114] It can be understood that the monthly scheduling model is the same as the energy scheduling model mentioned above, and the scheduling period T of the monthly scheduling model is one month. Figure 2 As shown, after determining the second predicted maximum demand, it can be determined whether the maximum demand of the microgrid in the target scheduling month needs to be adjusted based on the second predicted maximum demand and the previous maximum demand in the previous scheduling month before the target scheduling month. If it is necessary to adjust the maximum demand of the microgrid in the target scheduling month, the second predicted maximum demand needs to be determined b working days before the target scheduling month in the previous scheduling month, and the maximum demand adjustment declaration needs to be made.

[0115] In the microgrid dispatching process, when the second predicted maximum demand is lower than 40% of the sum of the actual transformer capacity and high-voltage motor capacity in the microgrid, the total capacity S cap (1) 40% of the declared maximum contract demand S dem (l), therefore, the maximum contract demand S dem (l)Satisfy the constraints:

[0116] 0.4·S cap (1)≤S dem (1)≤S cap (1).

[0117] In addition, it should be noted that in the monthly dispatch model, when the basic electricity price is calculated based on the maximum demand, the basic electricity fee calculation formula within a dispatch month can be expressed as the following formula 7:

[0118] C buy_bas (1) = p dem (1) P max (1)

[0119] C bus_bas (l) is the basic electricity fee in a dispatching month, P max (l) is the maximum demand in a dispatching month, p dem (1) is the demand electricity price within a dispatching month.

[0120] When calculating the basic electricity fee, if the monthly electricity consumption per kilovolt-ampere reaches 260kWh or above, the actual basic electricity fee calculation formula is as follows: Formula 8:

[0121] C buy_bas (1) = 0.9·p dem (1) P max (1).

[0122] Furthermore, if the actual maximum demand of the microgrid exceeds 105% of the contract maximum demand, the basic electricity fee for the part exceeding 105% shall be doubled, and the basic electricity fee for the part not exceeding 105% of the contract maximum demand shall be charged according to the contract maximum demand. Therefore, in the actual dispatch process, the calculation method of the actual basic electricity fee is expressed as the following formula 9:

[0123]

[0124] When the basic electricity price is calculated according to the transformer capacity, the actual basic electricity fee in a dispatching month is calculated as follows:

[0125] C buy_bas (1) = p cap (1) S cap (1).

[0126] Therefore, this embodiment provides a method for determining a basic electricity price pricing method. When the pricing method of the basic electricity price of the microgrid is based on maximum demand, the maximum demand of the microgrid is adjusted monthly according to the predicted maximum demand of the microgrid within a scheduling cycle, thereby dynamically adjusting the capacity demand value of the microgrid according to the actual operation of the microgrid to adapt to changes in energy demand in different scheduling stages within a scheduling cycle, thereby achieving efficient energy utilization and cost optimization.

[0127] In a feasible implementation, after step S500, within the current scheduling day, obtain the second predicted load power of the microgrid after the current moment and the net load power deviation of the microgrid at the current moment; utilize the intraday scheduling model of the microgrid, according to the second predicted load power and the current pricing method of the basic electricity price within the current scheduling cycle, update the day-ahead scheduling plan of the current scheduling day, and obtain the intraday scheduling plan; according to the net load power deviation, adjust the intraday scheduling plan to obtain the real-time scheduling plan; according to the real-time scheduling plan, schedule each device to be scheduled in the microgrid.

[0128] In this embodiment, the day-ahead scheduling plan of the current scheduling day is updated according to the second predicted load power by using the intraday scheduling model of the microgrid. Before the step of obtaining the intraday scheduling plan, the method for determining the basic electricity price pricing method also includes: obtaining the third predicted load power of the current scheduling day in the previous scheduling day before the current scheduling day; and determining the day-ahead scheduling plan of the microgrid in the current scheduling day according to the third predicted load power and the current pricing method by using the day-ahead scheduling model of the microgrid.

[0129] It should be noted that, in the microgrid dispatching process, the energy dispatching model may also include a day-ahead dispatching model, the optimization target of which is to minimize the daily comprehensive cost. Therefore, the difference from Formula 1 is that the dispatching period T of the objective function of the day-ahead dispatching model is one day. The current pricing method is determined in the previous dispatching period before the current dispatching period according to the basic electricity price pricing method determination method of the above embodiment.

[0130] In addition, since the loads in the microgrid can include cooling / heating loads and other electrical loads, the load power can be expressed as:

[0131] P load (t) = P Q (t)+P elec (t)

[0132] P Q (t) represents the cooling / heating load power, P elec (t) represents the power of other electrical loads.

[0133] The third predicted load power is the predicted load power within a scheduling day. When determining the third predicted load power, the cooling power and heating power can be obtained by calculating the historical cooling load data and historical heating load data based on the COP (Coefficient Of Performance) curve and historical temperature data of each air-conditioning unit, and then predicted based on the historical cooling load data and historical heating load data through prediction algorithms such as LSTM, ARIMA, and XGBoost. Among them, based on the predicted cooling / heating load power, the start and stop plan of the air-conditioning unit can be obtained as follows:

[0134]

[0135] u m,n (t) indicates the on status of the mth air conditioner in the nth zone at the tth hour, “1” indicates on and “0” indicates off.

[0136] Correspondingly, the constraints of the day-ahead scheduling model include cooling / heating load balance constraints and air conditioning power constraints:

[0137]

[0138] 0≤P m,n (t)≤P m,n,max

[0139]

[0140] Q n (t) represents the required cooling / heating load of the nth zone at the tth hour, COP m,n (ΔTemp) represents the COP curve of the mth air conditioner in the nth area. ΔTemp represents the difference between the outdoor temperature and the set temperature of the central air conditioner. m,n,max Indicates the maximum electrical load of the mth air conditioner in the nth zone.

[0141] In addition, other constraints of the day-ahead dispatch model are the same as those of the energy dispatch model mentioned above.

[0142] It is understandable that if Figure 2 As shown, the day-ahead scheduling model can determine the scheduling plan for each scheduling day. On each scheduling day, the intraday scheduling model can be used to further adjust the day-ahead scheduling plan to obtain the intraday scheduling plan, and the intraday scheduling plan can be adjusted in real time according to the scheduling results of the intraday scheduling plan.

[0143] Compared with the day-ahead scheduling model, the intraday scheduling model needs to modify the air conditioning power constraint in the day-ahead scheduling model to:

[0144] 0≤P m,n (t)≤P m,n,max ·u m,n (t)

[0145] The intraday scheduling model can periodically adjust the day-ahead scheduling plan according to a preset time interval, wherein the preset time interval can be 15 minutes.

[0146] In this embodiment, the net load power deviation can be obtained using the following formula 11:

[0147] ΔP(t)=ΔP load(t)-ΔP pv (t)-ΔP wind (t)

[0148] ΔP pv (t) is the photovoltaic power prediction deviation, ΔP wind (t) is the wind power prediction deviation, ΔP load (t) is the load power forecast deviation, and the photovoltaic power forecast deviation is the predicted photovoltaic power P' corresponding to the day-ahead dispatch plan pv (t) and the actual photovoltaic power P pv The wind power forecast deviation is the predicted wind power P' corresponding to the day-ahead dispatch plan. wind (t) and actual wind power P wind (t), the load power forecast deviation is the forecast load power P' corresponding to the day-ahead dispatch plan load (t) and actual load power P load The difference between (t).

[0149] In a specific implementation, the steps of adjusting the intraday dispatch plan according to the net load power deviation and obtaining the real-time dispatch plan may include:

[0150] (1) Figure 3 As shown, when ΔP(t)≥0;

[0151] 1) If the energy storage device is scheduled to discharge during the day, the discharge power of the energy storage device will be increased first. If there is still a shortage, the interaction power with the large power grid will be increased;

[0152] 2) If the energy storage device is scheduled to be charged during the day, the interaction power with the large power grid will be increased first (not exceeding the maximum demand or capacity). If there is still a shortfall, the charging power of the energy storage device can be reduced. If there is still a shortfall, the remaining shortfall will be supplemented by the power grid;

[0153] 3) If the planned net power of the energy storage device is zero, the fluctuation will be balanced by the large power grid first (it cannot exceed the maximum demand or capacity). If there is a shortage, the fluctuation can be balanced by the energy storage device. If there is still a shortage, the remaining shortage will be supplemented by the power grid.

[0154] (2) Figure 3 As shown, when ΔP(t)<0;

[0155] 1) If the energy storage device is scheduled to discharge during the day, the interaction power with the large power grid will be reduced first. If there is a shortage, the discharge power of the energy storage device will be reduced;

[0156] 2) If the energy storage device is scheduled to be charged during the day, the charging power of the energy storage device will be reduced first, and if there is a shortage, the interaction power with the large power grid will be reduced;

[0157] 3) If the planned net power of the energy storage device is zero during the day, the grid will be given priority to balance the fluctuations, and any shortfall will be balanced by the energy storage device.

[0158] Therefore, this embodiment provides a method for determining a basic electricity price pricing method, and adjusts the intraday scheduling plan in real time according to the net load power deviation. Since the net load power deviation is determined based on the actual scheduling results and predicted scheduling results of the intraday scheduling plan, the intraday scheduling plan can be adjusted in real time at the second level according to the actual scheduling results of the intraday scheduling plan, and the actual scheduling results of the intraday scheduling plan can be reused, thereby improving the energy scheduling accuracy of the microgrid.

[0159] This application provides a basic electricity price pricing method determination device, such as Figure 4 As shown, the basic electricity price pricing method determining device may include:

[0160] The first electricity fee determination module 10 is used to determine the first basic electricity fee in the next scheduling cycle after the current scheduling cycle according to the target transformer capacity and capacity electricity price of the microgrid when the preset conditions are met at the current moment;

[0161] A second electricity fee determination module 20, configured to determine a second basic electricity fee in the next scheduling period according to a first predicted maximum demand of the microgrid in the next scheduling period and a corresponding demand electricity price;

[0162] The first cost determination module 30 is used to determine the first comprehensive cost in the next dispatching cycle according to the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return power sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the first basic electricity cost of the microgrid in the next dispatching cycle;

[0163] The second cost determination module 40 is used to determine the second comprehensive cost in the next dispatching cycle according to the predicted time-of-use electricity purchase cost, the predicted energy storage depreciation cost, the predicted return power sales cost, the predicted power quality penalty cost, the predicted carbon trading cost, the predicted operation and maintenance cost and the second basic electricity cost;

[0164] The pricing method determination module 50 is used to determine the target pricing method of the basic electricity price of the microgrid in the next scheduling cycle according to the comparison result of the first comprehensive cost and the second comprehensive cost.

[0165] For more implementation details in the specific implementation of the above-mentioned basic electricity price pricing method determination device, please refer to the description of the specific implementation of the basic electricity price pricing method determination method in the above-mentioned embodiment. For the sake of brevity of the specification, they will not be repeated here.

[0166] The present application provides a device for determining a basic electricity price calculation method, and the device for determining a basic electricity price calculation method includes: at least one processor; and a memory that is communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the basic electricity price calculation method determination method in the above-mentioned embodiment one.

[0167] Reference below Figure 5 , which shows a schematic diagram of the structure of a device for determining a basic electricity price pricing method suitable for implementing an embodiment of the present application. The device for determining a basic electricity price pricing method in the embodiment of the present application may include but is not limited to mobile terminals such as laptop computers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), etc., and fixed terminals such as desktop computers, etc. Figure 5 The basic electricity price pricing method determination device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0168] like Figure 5 As shown, the basic electricity price pricing method determination device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the basic electricity price pricing method determination device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the basic electricity price pricing method determination device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a basic electricity price pricing method determination device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0169] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0170] The basic electricity price pricing method determination device provided by the present application adopts the basic electricity price pricing method determination method in the above embodiment, which can solve the technical problem of how to reasonably change the pricing method of the basic electricity price on the basis of multi-stage energy regulation to achieve energy regulation and cost optimization in the industrial park. Compared with the related art, the beneficial effects of the basic electricity price pricing method determination device provided by the present application are the same as the beneficial effects of the basic electricity price pricing method determination method provided by the above embodiment, and the other technical features in the basic electricity price pricing method determination device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0171] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0172] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0173] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, the computer-readable program instructions being used to execute the method for determining the basic electricity price pricing method in the above-mentioned embodiment.

[0174] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0175] The computer-readable storage medium may be included in the basic electricity price pricing method determination device; or may exist independently without being assembled into the basic electricity price pricing method determination device.

[0176] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the basic electricity price pricing method determination device, the basic electricity price pricing method determination device is enabled to: determine the first basic electricity fee in the next scheduling cycle after the current scheduling cycle according to the target transformer capacity and capacity electricity price of the microgrid when the preset conditions are met on the current scheduling day; determine the second basic electricity fee in the next scheduling cycle according to the first predicted maximum demand of the microgrid in the next scheduling cycle and the corresponding demand electricity price; determine the first comprehensive cost in the next scheduling cycle according to the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return power sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the first basic electricity fee of the microgrid in the next scheduling cycle; determine the second comprehensive cost in the next scheduling cycle according to the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return power sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the second basic electricity fee; and determine the target pricing method of the basic electricity price of the microgrid in the next scheduling cycle according to the comparison result of the first comprehensive cost and the second comprehensive cost.

[0177] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0178] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0179] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0180] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned method for determining the basic electricity price pricing method, and can solve the technical problem of how to reasonably change the pricing method of the basic electricity price on the basis of multi-stage energy regulation to achieve energy regulation and cost optimization in industrial parks. Compared with the related art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the method for determining the basic electricity price pricing method provided by the above-mentioned embodiment, and will not be repeated here.

[0181] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the method for determining the basic electricity price pricing method as described above.

[0182] The computer program product provided by this application can solve the technical problem of how to reasonably change the pricing method of the basic electricity price on the basis of multi-stage energy regulation to achieve energy regulation and cost optimization in industrial parks. Compared with the relevant technology, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the method for determining the basic electricity price pricing method provided by the above embodiment, and will not be repeated here.

[0183] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for determining a basic electricity price pricing method, characterized in that: The method for determining the basic electricity price pricing method includes: When the preset conditions are met on the current dispatch day, the first basic electricity fee in the next dispatch cycle after the current dispatch cycle is determined according to the target transformer capacity and capacity electricity price of the microgrid; Determining a second basic electricity fee within the next scheduling period according to a first predicted maximum demand of the microgrid within the next scheduling period and a corresponding demand electricity price; Determine the first comprehensive cost in the next scheduling cycle according to the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return power sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the first basic electricity fee of the microgrid in the next scheduling cycle; Determine the second comprehensive cost in the next scheduling cycle according to the predicted time-of-use electricity purchase cost, the predicted energy storage depreciation cost, the predicted return electricity sales cost, the predicted power quality penalty cost, the predicted carbon trading cost, the predicted operation and maintenance cost and the second basic electricity fee; According to the comparison result of the first comprehensive cost and the second comprehensive cost, a target pricing method of the basic electricity price of the microgrid in the next scheduling cycle is determined.

2. The method for determining the basic electricity price calculation method according to claim 1, characterized in that: After the step of determining the target pricing method of the basic electricity price of the microgrid in the next scheduling period according to the comparison result of the first comprehensive cost and the second comprehensive cost, the basic electricity price pricing method determination method further includes: If the target pricing method is pricing based on maximum demand, then in the next scheduling cycle, the monthly scheduling model of the microgrid is used to determine the monthly scheduling plan of multiple devices to be scheduled in the microgrid according to the first predicted load power, the first predicted power generation power of the microgrid in the target scheduling month and the target pricing method; Determining a second predicted maximum demand of the microgrid within the target scheduling month according to the monthly scheduling plan; According to the second predicted maximum demand, the maximum demand of the microgrid in the target scheduling month is adjusted.

3. The method for determining the basic electricity price calculation method according to claim 1, characterized in that: After the step of determining the target pricing method of the basic electricity price of the microgrid in the next scheduling period according to the comparison result of the first comprehensive cost and the second comprehensive cost, the basic electricity price pricing method determination method further includes: During the current scheduling day, obtaining a second predicted load power of the microgrid after the current moment and a net load power deviation of the microgrid at the current moment; Using the intraday dispatch model of the microgrid, according to the second predicted load power and the current pricing method of the basic electricity price in the current dispatch cycle, the day-ahead dispatch plan of the current dispatch day is updated to obtain an intraday dispatch plan; According to the net load power deviation, the intraday dispatch plan is adjusted to obtain a real-time dispatch plan; According to the real-time scheduling plan, each device to be scheduled in the microgrid is scheduled.

4. The method for determining the basic electricity price calculation method according to claim 3, characterized in that: Before the step of using the intraday dispatch model of the microgrid to update the day-ahead dispatch plan of the current dispatch day according to the second predicted load power and the current pricing method of the basic electricity price in the current dispatch cycle to obtain the intraday dispatch plan, the basic electricity price pricing method determination method further includes: In a previous scheduling day before the current scheduling day, obtaining a third predicted load power of the current scheduling day; The day-ahead dispatch model of the microgrid is utilized to determine the day-ahead dispatch plan of the microgrid within the current dispatch day according to the third predicted load power and the current pricing method.

5. The method for determining the basic electricity price calculation method according to claim 1, characterized in that: After the step of determining the second basic electricity fee in the next scheduling period according to the first predicted maximum demand of the microgrid in the next scheduling period and the corresponding demand electricity price, the basic electricity price pricing method determination method further includes: Obtaining the real-time predicted power generation and load power of the microgrid in the next scheduling period; Determine the real-time predicted charge and discharge power of the energy storage device according to the real-time predicted generated power, the real-time predicted load power and the charge and discharge constraints of the energy storage device of the microgrid; Determine the real-time predicted interaction power between the microgrid and the large power grid according to the real-time predicted generated power, the real-time predicted load power, the real-time predicted charging and discharging power, and the power balance constraint of the microgrid; Determine the corresponding predicted power purchase power or predicted power sale power according to each of the real-time predicted interactive powers in the next scheduling period; Determining the predicted time-of-use electricity purchase fee based on all the predicted electricity purchase powers and the cycle length of the next scheduling cycle; The predicted return power selling fee is determined based on all the predicted power selling powers and the cycle duration.

6. The method for determining the basic electricity price calculation method according to claim 1, characterized in that: After the step of determining the second basic electricity fee in the next scheduling period according to the first predicted maximum demand of the microgrid in the next scheduling period and the corresponding demand electricity price, the basic electricity price pricing method determination method further includes: The predicted energy storage depreciation cost is determined based on the calendar life, cycle life and real-time remaining cycle life of the energy storage equipment in the microgrid.

7. A basic electricity price pricing method determination device, characterized in that: The basic electricity price pricing method determining device comprises: A first electricity fee determination module is used to determine a first basic electricity fee in a next scheduling period after the current scheduling period according to the target transformer capacity and capacity electricity price of the microgrid when the preset conditions are met on the current scheduling day; A second electricity fee determination module, configured to determine a second basic electricity fee within the next scheduling period according to a first predicted maximum demand of the microgrid within the next scheduling period and a corresponding demand electricity price; A first cost determination module is used to determine a first comprehensive cost in the next scheduling period according to the predicted time-of-use electricity purchase cost, predicted energy storage depreciation cost, predicted return power sales cost, predicted power quality penalty cost, predicted carbon trading cost, predicted operation and maintenance cost and the first basic electricity fee of the microgrid in the next scheduling period; A second cost determination module is used to determine the second comprehensive cost in the next scheduling period according to the predicted time-of-use electricity purchase cost, the predicted energy storage depreciation cost, the predicted return electricity sales cost, the predicted power quality penalty cost, the predicted carbon trading cost, the predicted operation and maintenance cost and the second basic electricity fee; The pricing method determination module is used to determine the target pricing method of the basic electricity price of the microgrid in the next scheduling cycle according to the comparison result of the first comprehensive cost and the second comprehensive cost.

8. A basic electricity price calculation method determination device, characterized in that: The basic electricity price pricing method determination device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the basic electricity price pricing method determination method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the method for determining the basic electricity price pricing method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the method for determining the basic electricity price calculation method according to any one of claims 1 to 6 are implemented.

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