A capacity configuration and operation control method for a temporary new energy power consumption system

Abstract

The application discloses a capacity configuration and operation control method for a temporary new energy power consumption system, and belongs to the technical field of intelligent power distribution and energy management. The system comprises a photovoltaic power generation unit, an energy storage unit, a temporary power consumption load, a power grid access end and a transformer. The method comprises the following steps: acquiring construction full-cycle basic data, generating a load power sequence and a photovoltaic output sequence; constructing a design stage capacity configuration model, jointly determining energy storage configuration parameters, full-cycle reference maximum power grid power consumption and recommended transformer capacity; acquiring load and photovoltaic prediction data according to a preset period in an operation stage, determining a current period maximum demand threshold, and controlling energy storage charging and discharging, so that real-time power consumption power does not exceed the threshold and the system operates within the recommended transformer capacity allowable range. The application can reduce transformer capacity redundancy and basic electricity fee expenditure, improve photovoltaic and energy storage collaborative utilization rate, and improve temporary power consumption power supply safety and stability.

Description

Technical Field

[0001] This invention belongs to the field of intelligent power distribution and energy management technology, and specifically relates to a capacity configuration and operation control method for temporary renewable energy power systems. Background Technology

[0002] With the increasing demand for green and low-carbon construction and the utilization of new energy sources, photovoltaic power generation units and energy storage units are gradually being configured at construction sites, large-scale infrastructure projects, and other temporary power supply and distribution scenarios to reduce electricity consumption from the external power grid and improve energy economy. Existing temporary power systems typically determine transformer capacity based on the predicted maximum load plus a safety margin, without fully considering the coupling relationship between photovoltaic output, energy storage regulation capacity, and temporary load changes throughout the construction process. This results in oversized transformers, lower actual operating load rates, and higher equipment investment and basic electricity costs.

[0003] Existing photovoltaic energy storage applications primarily focus on prioritizing self-consumption of photovoltaic power, charging energy storage during off-peak hours, and discharging energy storage during peak hours. Energy storage units are typically used only for peak-valley arbitrage or localized peak shaving, without considering energy storage power capacity, energy storage capacity, maximum grid power draw over the entire lifecycle, and transformer standard capacity as a unified entity for joint optimization. Because capacity configuration during the design phase is disconnected from demand control during the operation phase, energy storage regulation capabilities are difficult to feed forward to the transformer selection process. Transformer capacity is still designed using traditional methods, i.e., based on the predicted maximum electricity load (including construction machinery, lighting, office supplies, etc.) plus a safety factor (usually 1.2~1.3), failing to fully leverage the role of energy storage units in reducing distribution capacity and controlling demand.

[0004] Furthermore, temporary power supply scenarios are characterized by significant changes during the construction phase, frequent equipment start-ups and shutdowns, unstable peak loads, and photovoltaic output being greatly affected by weather. Existing solutions lack a control mechanism that dynamically updates the maximum demand threshold based on construction schedules, predicted loads, weather forecasts, and remaining energy storage capacity according to the operating cycle. They also lack a closed-loop control method that distributes monthly demand thresholds to the operation controller and constrains grid power extraction in real time, making it difficult to ensure construction power supply safety and operational economy while reducing transformer capacity.

[0005] Therefore, it is necessary to propose a capacity configuration and operation control method for temporary renewable energy power systems. Summary of the Invention

[0006] The purpose of this invention is to provide a capacity configuration and operation control method for temporary renewable energy power systems.

[0007] This invention is achieved through the following measures: a method for capacity configuration and operation control of temporary renewable energy power systems, characterized in that, The temporary renewable energy power system includes a photovoltaic power generation unit, an energy storage unit, a temporary power load, a grid connection terminal, a transformer, and an operation controller. The method includes: S1. Obtain basic data for the entire construction cycle of the temporary power supply project, and generate a full-cycle load power sequence and a full-cycle photovoltaic output sequence based on the basic data. S2. Based on the full-cycle load power sequence and the full-cycle photovoltaic power output sequence, a capacity configuration model for the design stage is constructed. The capacity configuration model for the design stage uses energy storage capacity, transformer capacity and grid power as related objects to determine energy storage configuration parameters and the full-cycle reference maximum grid power. S3. Solve the capacity configuration model in the design phase to obtain the energy storage configuration parameters and the full-cycle reference maximum grid power extraction power, and determine the recommended transformer capacity based on the full-cycle reference maximum grid power extraction power to form a capacity configuration scheme for the temporary new energy power system. S4. During the operation phase, obtain the temporary power consumption forecast data and photovoltaic output forecast data for the current cycle according to the preset operation cycle, and determine the maximum demand threshold for the current cycle based on the capacity configuration scheme. S5. Control the charging and discharging states of the energy storage unit according to the current cycle maximum demand threshold, so that the real-time power extraction power at the grid access end does not exceed the current cycle maximum demand threshold, and the temporary new energy power system operates within the power supply range allowed by the recommended transformer capacity.

[0008] Furthermore, in step S1, the basic data for the entire construction cycle includes the overall construction plan, construction phase division information, temporary power equipment information, photovoltaic installation information, meteorological information, electricity price information, energy storage equipment parameters, and transformer standard capacity parameters; Based on the overall construction plan, construction phase division information, and temporary power equipment information, determine the power equipment operation combination and load change relationship corresponding to different construction phases, and generate the full-cycle load power sequence according to the preset time step. Based on the photovoltaic installation information and meteorological information, the photovoltaic power generation power corresponding to different time steps is determined, and the photovoltaic power output sequence for the entire construction cycle is generated.

[0009] Furthermore, in step S2, the capacity configuration model in the design phase uses the rated charging and discharging power of energy storage, the rated energy capacity of energy storage, and the reference maximum grid power drawdown over the entire cycle as variables to be solved; The design phase capacity configuration model establishes the correlation between energy storage capacity configuration, transformer capacity configuration and grid power extraction power based on the full-cycle load power sequence, full-cycle photovoltaic power output sequence, electricity price information, energy storage equipment parameters and transformer capacity-related parameters, so that the design phase capacity configuration model outputs the energy storage configuration parameters and the full-cycle reference maximum grid power extraction power. The maximum grid power taken from the grid throughout the entire construction cycle is used to characterize the peak grid power taken from the grid after the photovoltaic power generation unit and the energy storage unit have been coordinated and regulated throughout the entire construction cycle.

[0010] Furthermore, the objective function of the capacity configuration model in the design phase includes the investment cost on the energy storage power side, the investment cost on the energy storage energy side, the investment cost of the transformer, the basic electricity cost for the entire construction cycle, and the time-of-use electricity cost for the entire construction cycle. The investment cost of the energy storage power side is determined based on the rated charge and discharge power of the energy storage; the investment cost of the energy storage energy side is determined based on the rated energy capacity of the energy storage; the investment cost of the transformer is determined based on the candidate transformer capacity calculated from the maximum grid power taken from the grid throughout the entire construction period; the basic electricity charge for the entire construction period is determined based on the basic electricity price, the total number of construction months, and the maximum grid power taken from the grid throughout the entire construction period; and the time-of-use electricity charge for the entire construction period is determined based on the time-of-use electricity price, grid power taken from the grid, and time step length corresponding to each time step.

[0011] Furthermore, the capacity configuration model in the design phase includes power balance constraints, upper limit constraints on grid power extraction, energy storage power limit constraints, mutual exclusion constraints on energy storage charging and discharging, dynamic update constraints on remaining energy storage capacity, initial energy storage capacity constraints, boundary constraints on safe state of charge of energy storage, physical consistency constraints on energy storage, and non-negativity constraints. The power balance constraint is used to ensure that the sum of the grid power draw, photovoltaic power generation and energy storage discharge power at each time step is equal to the sum of the temporary power load power, energy storage charging power and the equivalent power of curtailed solar power. The upper limit constraint on grid power consumption is used to ensure that the grid power consumption at each time step is not greater than the reference maximum grid power consumption for the entire cycle. The energy storage power limit constraint is used to restrict the charging power and discharging power of the energy storage unit at any time step from not exceeding the rated charging and discharging power of the energy storage. The energy storage charge and discharge mutual exclusion constraint is used to ensure that the energy storage unit is not in a charging state and a discharging state at the same time step. The dynamic update constraint for remaining energy storage capacity is used to describe the relationship between the energy storage unit's energy changes between adjacent time steps. The initial energy storage capacity constraint is used to determine the initial remaining energy storage capacity before the first time step in the design phase. The energy storage safe state of charge boundary constraint is used to limit the energy storage unit from overcharging and over-discharging, keeping it within the preset safe state of charge range; Nonnegativity constraints are used to ensure that continuous decision variables conform to their physical meaning.

[0012] Furthermore, the energy storage power limit constraint introduces charging state variables and discharging state variables, and ensures that the energy storage charging power is not greater than the product of the energy storage rated charging and discharging power and the charging state variable, and that the energy storage discharging power is not greater than the product of the energy storage rated charging and discharging power and the discharging state variable. When solving the problem using a mixed-integer linear programming model, the product of the rated charge / discharge power of the energy storage and the charging state variable, as well as the product of the rated charge / discharge power of the energy storage and the discharging state variable, are linearized.

[0013] Further, in step S3, the candidate transformer capacity is calculated based on the full-cycle reference maximum grid power draw, the safety margin parameters at the design stage, and the target power factor. Then, in the standard capacity sequence corresponding to the standard capacity parameters of the transformer, the standard capacity that is not less than the candidate transformer capacity and has the smallest difference from the candidate transformer capacity is selected as the recommended transformer capacity.

[0014] Furthermore, in step S4, the preset operating cycle is a natural month, and the temporary power consumption forecast data for the current cycle includes the construction schedule for the current cycle, the predicted load power sequence for the current cycle, and the remaining energy storage capacity at the beginning of the current cycle. The photovoltaic output prediction data includes current period weather forecast data, photovoltaic installation information and historical power generation correction coefficients. Based on the current period weather forecast data and photovoltaic installation information, the theoretical photovoltaic output corresponding to each time step in the current period is determined, and the theoretical photovoltaic output is corrected according to the historical power generation correction coefficients to generate the current period predicted photovoltaic output sequence. Under the condition of fixing the energy storage configuration parameters and the recommended transformer capacity, construct the current cycle operation optimization model, and solve the current cycle maximum demand threshold and the current cycle energy storage charging and discharging scheduling strategy based on the current cycle predicted load power sequence, the current cycle predicted photovoltaic output sequence and the current cycle beginning-of-month energy storage remaining power. The current cycle operation optimization model includes a current cycle power balance constraint, which is used to ensure that the sum of the grid power intake, predicted photovoltaic power output and energy storage discharge power at each time step in the current cycle is equal to the sum of the predicted load power, energy storage charging power and curtailed solar power in the current cycle.

[0015] Furthermore, the current cycle operation optimization model also includes current cycle power extraction constraints and transformer safe output constraints; The current cycle power consumption constraint is used to ensure that the grid power consumption at each time step in the current cycle is not greater than the current cycle maximum demand threshold. The transformer safe output constraint is used to ensure that the current cycle maximum demand threshold is not greater than the transformer safe output determined by the recommended transformer capacity, target power factor, and operating stage safety margin parameters. After the current operating cycle ends, the operating record is updated based on the actual grid power intake, energy storage operation data, actual photovoltaic output data and settlement demand. Then, the current cycle's predicted photovoltaic output sequence is regenerated, the current cycle's maximum demand threshold is redefined, and the current cycle's energy storage charging and discharging scheduling strategy is redefined for the next operating cycle.

[0016] The present invention also provides a capacity configuration and operation control system for temporary renewable energy power systems, characterized in that it includes a data acquisition module, a sequence generation module, a capacity configuration module for the design stage, a capacity scheme generation module, a demand optimization module for the operation stage, and a real-time operation control module. The data acquisition module is used to acquire basic data for the entire construction cycle of temporary power supply projects. The sequence generation module is used to generate a construction full-cycle load power sequence and a construction full-cycle photovoltaic output sequence based on the construction full-cycle basic data. The design phase capacity configuration module is used to construct a design phase capacity configuration model based on the full-cycle load power sequence and the full-cycle photovoltaic power output sequence. The design phase capacity configuration model takes energy storage capacity, transformer capacity and grid power as related objects and is used to determine energy storage configuration parameters and the full-cycle reference maximum grid power. The capacity scheme generation module is used to solve the capacity configuration model in the design phase, obtain the energy storage configuration parameters and the full-cycle reference maximum grid power extraction power, and determine the recommended transformer capacity based on the full-cycle reference maximum grid power extraction power to form a capacity configuration scheme for the temporary new energy power system. The demand optimization module during the operation phase is used to obtain the temporary power consumption forecast data and photovoltaic output forecast data of the current cycle according to the preset operation cycle during the operation phase, and determine the maximum demand threshold of the current cycle under the constraints of the capacity configuration scheme. The real-time operation control module is used to control the charging and discharging states of the energy storage unit according to the current cycle maximum demand threshold, so that the real-time power extraction power at the grid access end does not exceed the current cycle maximum demand threshold, and the temporary new energy power system operates within the power supply range allowed by the recommended transformer capacity.

[0017] The beneficial effects of the technical solution provided by the embodiments of the present invention are as follows: The present invention incorporates the full-cycle load power sequence, the full-cycle photovoltaic power output sequence, energy storage equipment parameters, electricity price information, and transformer capacity-related parameters into the same design stage capacity configuration model, so that the rated charging and discharging power of energy storage, the rated energy capacity of energy storage, and the reference maximum grid power drawdown power throughout the entire cycle can be jointly determined. This feeds forward the energy storage regulation capability to the transformer capacity configuration process, avoids the conservative selection of transformers based solely on the unregulated maximum load, and reduces the redundancy of the distribution capacity of the temporary power system.

[0018] This invention calculates candidate transformer capacities based on the maximum grid power taken from the grid throughout the entire life cycle, safety margin parameters during the design phase, and target power factor, and determines recommended transformer capacities from the standard transformer capacity sequence. This ensures that the transformer capacity configuration results match photovoltaic output, energy storage peak shaving capacity, and changes in construction load, thereby reducing transformer investment costs and basic electricity expenses generated by demand-based billing.

[0019] During the operation phase, this invention acquires the current cycle construction schedule, predicted load power sequence, weather forecast data, photovoltaic installation information, historical power generation correction coefficient, and the remaining energy storage capacity at the beginning of the month according to a preset operation cycle. It then generates the current cycle predicted photovoltaic output sequence and solves the current cycle maximum demand threshold and energy storage charging and discharging scheduling strategy through the current cycle operation optimization model. This enables the operation control to be updated in a rolling manner according to the construction progress and changes in photovoltaic output, thereby improving the adaptability of the temporary new energy power system to dynamic operating conditions.

[0020] This invention sends the current cycle maximum demand threshold to the operation controller, which then controls the charging and discharging states of the energy storage unit based on real-time power consumption, real-time photovoltaic output, real-time temporary power load, and real-time remaining energy storage capacity. This ensures that the real-time power consumption at the grid connection does not exceed the current cycle maximum demand threshold and that the temporary renewable energy system operates within the power supply range allowed by the recommended transformer capacity, thereby balancing power supply security, equipment utilization, and total energy cost over the entire cycle. Attached Figure Description

[0021] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings listed below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of a capacity configuration and operation control method for a temporary renewable energy power system according to an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments. Of course, the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0024] Example 1: See Figure 1 This embodiment provides a capacity configuration and operation control method for temporary renewable energy power systems, applicable to construction sites, large-scale infrastructure construction sites, and temporary power projects with phased changes in power load. The temporary renewable energy power system includes a photovoltaic power generation unit, an energy storage unit, a temporary power load, a grid connection terminal, a transformer, and an operation controller. The operation controller can be an edge controller, used to receive the current cycle's maximum demand threshold and control the charging and discharging states of the energy storage unit.

[0025] This embodiment takes a temporary power supply project with a construction period of 18 months as an example. A photovoltaic power generation unit is set up on the project site with a photovoltaic installed capacity of 500kW. The candidate configuration range of the energy storage unit includes different rated charging and discharging power and rated energy capacity. The standard capacity parameters of the transformer include standard capacities of 800kVA, 1000kVA, 1250kVA, 1600kVA and higher. The target power factor is taken as 0.85. The safety margin parameter in the design stage is taken as 1.05. The safety margin parameter in the operation stage is taken as 1.05.

[0026] S1. Obtain basic data for the entire construction cycle of the temporary power supply project, and generate a full-cycle load power sequence and a full-cycle photovoltaic output sequence based on the basic data. The basic data for the entire construction cycle includes the overall construction plan, construction phase division information, temporary power equipment information, photovoltaic installation information, meteorological information, electricity price information, energy storage equipment parameters, and transformer standard capacity parameters.

[0027] The overall construction plan is used to determine the start and end times of the construction of the entire temporary power supply project and the duration of each construction phase. The construction phase division information is used to distinguish different construction phases. The temporary power supply equipment information includes the rated power, start and stop time, running time and simultaneous use factor of each construction equipment.

[0028] Based on the overall construction plan, construction phase division information, and temporary electrical equipment information, the operating combinations and load change relationships of electrical equipment corresponding to different construction phases are determined, and a full-cycle load power sequence is generated according to a preset time step. The preset time step can be 15 minutes, dividing the entire construction cycle into multiple discrete time steps, denoted as... Each time step corresponds to a temporary power load. When generating the full-cycle load power sequence, the set of equipment to be used in each construction phase is first determined based on the construction stage. Then, the electrical load power for that time step is calculated based on the equipment's rated power, equipment operation plan, simultaneous use factor, and load correction factor. For example, during the main structure construction stage, the usage ratio of tower cranes, construction elevators, concrete pumps, and welding machines is relatively high, corresponding to higher peak loads than during the decoration and finishing construction stages.

[0029] Based on photovoltaic (PV) installation information and meteorological information, the PV power generation at different time steps is determined, generating a PV output sequence for the entire construction cycle. PV installation information includes PV capacity, module tilt angle, module azimuth angle, and inverter efficiency. Meteorological information includes solar irradiance, ambient temperature, and weather type. PV power generation is calculated at each time step. .

[0030] In one implementation, both the load power sequence and the photovoltaic output sequence throughout the construction cycle use the same time step, ensuring a unified time scale for power balance and energy storage status updates in the subsequent capacity configuration model. Missing load or meteorological data can be supplemented using interpolation of data from adjacent time periods or correction using historical data from the same construction phase.

[0031] S2. Based on the load power sequence and photovoltaic power output sequence throughout the construction cycle, a capacity configuration model for the design phase is constructed. This design phase capacity configuration model uses energy storage capacity, transformer capacity, and grid power draw as related objects to determine energy storage configuration parameters and the maximum reference grid power draw throughout the entire construction cycle.

[0032] In this embodiment, the capacity configuration model during the design phase is based on the rated charge and discharge power of the energy storage. Rated energy capacity of energy storage and the maximum grid draw power for the entire life cycle As the variable to be solved, the rated charge / discharge power of the energy storage is... Used to indicate the maximum allowable charging power and maximum discharging power of an energy storage unit, and the rated energy capacity of the energy storage unit. Used to indicate the configurable energy capacity of the energy storage unit, with reference to the maximum grid draw power over the entire lifecycle. This is used to represent the peak power output from the grid after coordinated adjustment by the photovoltaic power generation unit and the energy storage unit throughout the entire construction cycle.

[0033] Furthermore, the capacity configuration model in the design phase establishes the correlation between energy storage capacity configuration, transformer capacity configuration, and grid power extraction based on the full-cycle load power sequence, the full-cycle photovoltaic power output sequence, electricity price information, energy storage device parameters, and transformer capacity-related parameters. Specifically, the full-cycle load power sequence and the full-cycle photovoltaic power output sequence are used to determine the supply-demand balance at each time step; the electricity price information is used to determine the electricity charges corresponding to grid power extraction at each time step and the basic electricity charges corresponding to the full-cycle reference maximum grid power extraction; the energy storage device parameters are used to constrain the changes in rated charging and discharging power, rated energy capacity, and remaining energy capacity of the energy storage; and the transformer capacity-related parameters are used to calculate candidate transformer capacities based on the full-cycle reference maximum grid power extraction and determine the corresponding transformer investment costs. Thus, the capacity configuration model in the design phase can output energy storage configuration parameters and the full-cycle reference maximum grid power extraction in the same optimization process, allowing the full-cycle reference maximum grid power extraction to characterize the peak grid power extraction after coordinated adjustment by the photovoltaic power generation unit and the energy storage unit throughout the entire construction cycle.

[0034] Specifically, the optimization objectives of the capacity configuration model in the design phase include the investment cost on the energy storage power side, the investment cost on the energy storage energy side, the transformer investment cost, the basic electricity cost throughout the construction period, and the time-of-use electricity cost throughout the construction period. The investment cost on the energy storage power side is based on the rated charging and discharging power of the energy storage. The investment cost of energy storage is determined based on the rated energy capacity of the energy storage. The transformer investment cost is determined based on the maximum grid power drawdown over the entire lifecycle. The calculated candidate transformer capacity is determined.

[0035] In one implementation, the objective function of the capacity configuration model in the design phase is:

[0036] In the formula, This represents the total cost during the design phase. This indicates the investment cost per unit power of energy storage. Indicates the rated charge and discharge power of the energy storage. This indicates the unit energy investment cost of energy storage. Indicates the rated energy capacity of energy storage. This represents the transformer investment cost determined based on the candidate transformer capacities. Indicates the maximum reference grid power draw over the entire lifecycle. Indicates the safety margin parameters during the design phase. Indicates the target power factor. This indicates the basic electricity price. Indicates the total number of months of construction. Indicates time step The corresponding time-of-use electricity price, Indicates time step The corresponding grid power draw, Indicates the time step. This represents the total number of time steps corresponding to the entire construction cycle.

[0037] In the aforementioned objective function, the basic electricity cost for the entire construction period is jointly determined by the basic electricity price, the total number of construction months, and the maximum reference grid power consumption for the entire period. That is, the lower the maximum reference grid power consumption for the entire period, the lower the corresponding demand-based basic electricity cost. The time-of-use electricity cost for the entire construction period is jointly determined by the time-of-use price, grid power consumption, and time step length for each time step, and is used to characterize the electricity cost generated from obtaining power from the grid connection during the entire construction period. Therefore, the capacity configuration model in the design phase can simultaneously consider the correlation between transformer capacity reduction, energy storage capacity configuration, basic electricity cost control, and time-of-use electricity cost control.

[0038] The capacity configuration model in the design phase includes power balance constraints, upper limit constraints on grid power intake, energy storage power limit constraints, mutual exclusion constraints on energy storage charging and discharging, dynamic update constraints on remaining energy storage capacity, initial energy storage capacity constraints, boundary constraints on safe state of charge of energy storage, physical consistency constraints on energy storage, and non-negativity constraints.

[0039] The power balance constraint is used to ensure that the sum of the grid power drawdown, photovoltaic power generation, and energy storage discharge power at each time step is equal to the sum of the temporary power load power, energy storage charging power, and the equivalent power of curtailed photovoltaic power. The power balance constraint is:

[0040] In the formula, Indicates time step The corresponding power output from the power grid, Indicates time step The corresponding photovoltaic power generation capacity, Indicates time step The corresponding energy storage discharge power, Indicates time step The corresponding temporary power load, Indicates time step Corresponding energy storage charging power, Indicates time step The corresponding equivalent power of curtailed solar power. This constraint ensures real-time power balance among photovoltaic power generation, energy storage charging and discharging, grid power intake, and temporary power loads.

[0041] The upper limit constraint on grid power extraction is used to ensure that the grid power extraction at each time step does not exceed the reference maximum grid power extraction for the entire cycle. The upper limit constraint on grid power extraction is as follows:

[0042] This constraint allows for a full-cycle reference to the maximum grid draw power. It is no longer simply the highest historical load, but the highest grid power intake level after regulation by photovoltaic power generation and energy storage charging and discharging.

[0043] The energy storage power limit constraint is used to restrict the charging and discharging power of an energy storage unit at any time step from exceeding the rated charging and discharging power of the energy storage. The energy storage power limit constraint is as follows:

[0044]

[0045] In the formula, Indicates time step The corresponding charging state variables, Indicates time step The corresponding discharge state variables are both binary variables. Through the above constraints, the energy storage charging power and energy storage discharging power can be subject to the combined limitations of the energy storage rated charging and discharging power and the corresponding operating state.

[0046] Energy storage charge-discharge mutual exclusion constraints are used to restrict energy storage units from being in a charging state and a discharging state simultaneously within the same time step. The energy storage charge-discharge mutual exclusion constraints are as follows:

[0047] The binary state variable constraints are:

[0048] in, A value of 1 indicates that the energy storage unit is at time step It is in charging state. A value of 1 indicates that the energy storage unit is at time step It is in a discharge state. Equations (6) and (7) can be used to avoid the energy storage unit from charging and discharging simultaneously in the same time step.

[0049] When using a mixed-integer linear programming model for solving, due to and The product of continuous and binary variables can be linearized using the Big M method. Taking energy storage charging power as an example, the linearization constraint is:

[0050]

[0051] In the formula, This represents the upper bound of the rated charge / discharge power of the energy storage. The energy storage discharge power can be linearized in the same way, so that the capacity configuration model in the design phase can be solved by a mixed-integer linear programming solver.

[0052] The dynamic update constraint for remaining energy storage capacity is used to describe the relationship between the energy storage unit's energy capacity changes between adjacent time steps. The dynamic update constraint for remaining energy storage capacity is as follows:

[0053] In the formula, Indicates time step The corresponding remaining energy storage capacity, This indicates the remaining energy storage capacity at the previous time step. Indicates energy storage charging efficiency. This represents the energy storage discharge efficiency. Through this constraint, the remaining capacity of the energy storage unit can be dynamically updated based on the charging and discharging power.

[0054] The initial energy storage capacity constraint is used to determine the initial remaining energy storage capacity before the first time step in the design phase. The initial energy storage capacity constraint is as follows:

[0055] In the formula, Indicates the initial remaining energy capacity of the energy storage. This indicates the initial energy storage capacity percentage. In this embodiment, A value of 0.5 can be used to ensure that the energy storage unit is in a half-charge state when the simulation begins during the design phase.

[0056] The safe state of charge boundary constraint for energy storage is used to limit the overcharging and over-discharging of energy storage units, ensuring they remain within the preset safe state of charge range. The safe state of charge boundary constraint for energy storage is as follows:

[0057] In the formula, Represents the minimum safe state of charge factor. This represents the maximum safe state of charge factor. In this embodiment, 0.1 is acceptable. A value of 0.9 can be used to ensure that the energy storage unit operates within a safe state of charge range.

[0058] In one implementation, the capacity configuration model during the design phase further includes energy storage physical consistency constraints to ensure a reasonable matching relationship between the rated energy capacity and the rated charge / discharge power of the energy storage. These energy storage physical consistency constraints are as follows:

[0059] In the formula, This represents the minimum time parameter required for the energy storage unit to continuously discharge at its rated power. In this embodiment, A 2h setting can be used, meaning the energy storage unit meets the configuration requirement of continuously discharging at rated power for at least 2 hours.

[0060] Nonnegativity constraints are used to ensure that continuous decision variables conform to physical meaning. The nonnegativity constraints are:

[0061] By imposing the above constraints, we can avoid negative values ​​for energy storage capacity, grid power consumption, energy storage charging power, energy storage discharging power, equivalent power of curtailed solar power, and remaining energy storage capacity, thereby ensuring that the model solution results meet the actual operating characteristics of the temporary new energy power system.

[0062] S3. Solve the capacity configuration model in the design phase to obtain the energy storage configuration parameters and the maximum grid power taken from the grid throughout the entire cycle. Determine the recommended transformer capacity based on the maximum grid power taken from the grid throughout the entire cycle to form a capacity configuration scheme for the temporary new energy power system.

[0063] Energy storage configuration parameters include optimal rated charge and discharge power of energy storage. and optimal energy storage rated energy capacity The maximum grid power draw for the entire lifecycle is denoted as .

[0064] The candidate transformer capacity is calculated based on the maximum grid power drawdown over the entire lifecycle, the safety margin parameters during the design phase, and the target power factor. The candidate transformer capacity is determined according to the following formula:

[0065] In the formula, Indicates the capacity of the candidate transformer. This represents the maximum reference grid power drawn over the entire lifecycle, obtained from the solution. Indicates the safety margin parameters during the design phase. This represents the target power factor.

[0066] From the standard capacity sequence corresponding to the standard capacity parameters of the transformer, the standard capacity that is not less than the candidate transformer capacity and has the smallest difference from the candidate transformer capacity is selected as the recommended transformer capacity. The recommended transformer capacity is determined according to the following formula:

[0067] In the formula, Indicates the recommended transformer capacity. This means selecting a standard capacity from the standard transformer capacity sequence that is not less than the candidate transformer capacity and has the smallest difference from the candidate transformer capacity.

[0068] In this embodiment, when calculating capacity using the traditional method, if the peak load at the construction site is 1000kW, the target power factor is 0.85, and the safety margin parameter in the design phase is 1.05, then the required transformer capacity corresponding to the traditional method is:

[0069] In the formula, This indicates the transformer capacity requirement calculated using the traditional method, therefore a 1250kVA standard transformer needs to be selected. Using the method of this embodiment, the maximum reference grid power drawdown obtained from the capacity configuration model during the design phase is approximately 766kW.

[0070] Standard transformer capacities typically do not include 946.24 kVA. From the standard transformer capacity sequence, the standard capacity with the smallest difference from the candidate transformer capacity is selected, resulting in a recommended transformer capacity of 1000 kVA. Based on the optimal rated charging and discharging power of the energy storage, the optimal rated energy storage capacity, and the recommended transformer capacity, a capacity configuration scheme for the temporary renewable energy power system is formed. For the aforementioned construction project, the capacity configuration scheme may include a 500 kW photovoltaic power generation unit, a 50 kW / 100 kWh energy storage unit, and a 1000 kVA transformer.

[0071] This capacity configuration scheme eliminates the direct selection of transformer capacity based on the maximum unregulated temporary power load. Instead, it determines the capacity based on the maximum grid drawdown power over the entire lifecycle, after adjustments by both photovoltaic power generation and energy storage units. This reduces transformer capacity redundancy and lowers basic electricity costs and equipment investment.

[0072] S4. During the operation phase, temporary power consumption forecast data and photovoltaic output forecast data for the current cycle are obtained according to the preset operation cycle, and the maximum demand threshold for the current cycle is determined based on the capacity configuration scheme.

[0073] The preset operating cycle can be a calendar month to match the basic electricity billing cycle that is metered monthly.

[0074] The temporary power consumption forecast data for the current cycle includes the current cycle construction schedule, the current cycle forecast load power sequence, and the remaining energy storage capacity at the beginning of the current cycle. Specifically, the current cycle construction schedule is used to determine the construction tasks and equipment operation combinations corresponding to different time steps within the current operating cycle; the current cycle forecast load power sequence is used to characterize the forecast temporary power consumption load at each time step within the current operating cycle; and the remaining energy storage capacity at the beginning of the current cycle is used to determine the initial operating state of the energy storage units at the start of the current operating cycle.

[0075] The current period's photovoltaic (PV) output forecast data includes current period weather forecast data, PV installation information, and historical power generation correction factors. The current period weather forecast data includes predicted solar irradiance, predicted ambient temperature, and predicted weather type for each time step within the current period. The PV installation information includes PV installed capacity, module tilt angle, module azimuth angle, and inverter efficiency. The historical power generation correction factors are determined based on the deviation between historical actual PV power generation and historical theoretical PV power generation under similar or identical weather conditions.

[0076] When generating the current period's predicted photovoltaic (PV) output sequence, the operation controller first determines the theoretical PV output corresponding to each time step based on the current period's weather forecast data and PV installation information, and then corrects the theoretical PV output based on historical power generation correction coefficients. For the first... Any time step within a running cycle The current cycle's predicted photovoltaic output is determined according to the following relationship:

[0077] In the formula, For time step The corresponding current cycle forecast for photovoltaic power output, For time step The corresponding historical power generation correction factor, To determine the theoretical output of photovoltaic power based on current periodic weather forecast data and photovoltaic installation information, For the first The set of time steps corresponding to each running cycle.

[0078] Fixed optimal energy storage rated charge and discharge power Optimal energy storage rated energy capacity and recommended transformer capacity Under these conditions, a current-cycle operation optimization model is constructed. This model is used to solve for the maximum demand threshold in the current cycle. And the current cycle energy storage charging and discharging scheduling strategy, among which, This indicates the current running cycle.

[0079] When constructing the current cycle operation optimization model, the maximum demand threshold of the current cycle is used as one of the variables to be solved, and the basic electricity charge of the current cycle is associated with the maximum demand threshold of the current cycle. Simultaneously, the time-of-use electricity charge of the current cycle is associated with the power output from the grid at each time step. The objective of the current cycle operation optimization model is set to minimize the sum of the basic electricity charge and the time-of-use electricity charge of the current cycle. The objective function of the current cycle operation optimization model is:

[0080] In the formula, Indicates the first The operating cost corresponding to each operating cycle This indicates the basic electricity price. Indicates the first The maximum demand threshold for the current cycle corresponding to each operating cycle. Indicates the first The set of time steps corresponding to each running cycle. Indicates time step The corresponding time-of-use electricity price, Indicates time step The corresponding power output from the power grid, Indicates the time step.

[0081] The current cycle operation optimization model includes current cycle power balance constraints, current cycle power extraction constraints, energy storage operation constraints, and transformer safe output constraints. To enable the predicted photovoltaic output for the current cycle to participate in solving the current cycle maximum demand threshold and energy storage charge / discharge scheduling strategy, current cycle power balance constraints are set in the current cycle operation optimization model. For the [missing information]... Any time step within a running cycle The grid's power intake, the predicted photovoltaic output, and the energy storage discharge power together meet the current cycle's predicted load power, energy storage charging power, and the equivalent power of curtailed photovoltaic power. Their relationship is as follows:

[0082] In the formula, For time step The corresponding current cycle predicted load power.

[0083] Based on the aforementioned power balance relationship, the current cycle's predicted photovoltaic output sequence can influence the grid's power consumption at each time step. When the predicted photovoltaic output is high, the current cycle's operation optimization model can reduce the grid's power consumption at the corresponding time step or arrange for energy storage charging; when the predicted photovoltaic output is low and the predicted load is high, the current cycle's operation optimization model can arrange for energy storage discharge to suppress the grid's peak power consumption.

[0084] The current cycle's maximum demand threshold is used to limit the power output from the grid during the current operating cycle. For the first cycle... Any time step within a running cycle The current cycle power extraction constraint is used to ensure that the power extraction from the grid at each time step within the current cycle does not exceed the maximum demand threshold for the current cycle. The current cycle power extraction constraint is as follows:

[0085] This is the maximum demand threshold for the current cycle. This constraint ensures that the power drawn from the grid at any time step within the current cycle will not exceed the maximum demand threshold for that cycle.

[0086] Energy storage operation constraints are used to ensure that the energy storage charge and discharge scheduling strategy for the current cycle meets the limitations of rated charge and discharge power, rated energy capacity, dynamic update of remaining energy capacity, mutual exclusion of charge and discharge, and safe state of charge boundary. The initial value of the remaining energy capacity in the current cycle is determined by the remaining energy capacity at the beginning of the current cycle and serves as the initial condition for the current cycle's operation optimization model.

[0087] To ensure safe operation at the recommended transformer capacity, the maximum demand threshold for the current cycle is also limited by the transformer's safe output. The safe output is determined based on the recommended transformer capacity, target power factor, and safety margin parameters for the operating phase. The maximum demand threshold for the current cycle satisfies the following constraints:

[0088] In the formula, This indicates the safety margin parameter during the operational phase. This is a safety margin parameter for the operational phase. Through this constraint, the maximum demand threshold for the current cycle will not exceed the safe active power output corresponding to the recommended transformer capacity.

[0089] Taking a recommended transformer capacity of 1000kVA, a target power factor of 0.85, and a safety margin parameter of 1.05 during operation as an example, the safe active power output threshold for the recommended transformer capacity during operation is as follows:

[0090] In the formula, This indicates the recommended safe active power output threshold for the operating phase corresponding to the transformer capacity. During the operating phase, the maximum demand threshold for the current cycle should not exceed this safe active power output threshold.

[0091] In this embodiment, if the current cycle maximum demand threshold control is not adopted and the operation is only carried out according to the traditional peak shaving and valley filling strategy, the maximum demand of the power grid may reach 818kW, which is higher than the safe active power output threshold of approximately 810kW corresponding to a 1000kVA transformer. Therefore, it is not advisable to reduce the transformer capacity to 1000kVA. After adopting the operation control method of this embodiment, through the current cycle maximum demand threshold control and energy storage discharge scheduling, the maximum demand of the power grid can be reduced to approximately 766kW to 768kW, making it lower than the safe active power output threshold corresponding to a 1000kVA transformer.

[0092] S5. The current cycle's maximum demand threshold and the current cycle's energy storage charging and discharging scheduling strategy are sent to the operation controller. The operation controller collects real-time power input from the grid connection, real-time photovoltaic output from the photovoltaic power generation unit, real-time load power of temporary power loads, and real-time remaining power of the energy storage unit.

[0093] The operation controller generates energy storage control commands based on the difference between the real-time power extraction and the maximum demand threshold for the current cycle. When the real-time power extraction approaches or reaches the maximum demand threshold for the current cycle, the operation controller controls the energy storage unit to reduce its charging power or increase its discharging power, so that the real-time power extraction at the grid connection does not exceed the maximum demand threshold for the current cycle.

[0094] When the real-time power consumption is lower than the maximum demand threshold for the current cycle and the energy storage unit meets the charging conditions, the operation controller controls the energy storage unit to charge. The charging conditions include the real-time remaining power of the energy storage unit being lower than the upper limit of the safe state of charge, the photovoltaic power generation unit having usable surplus power, or the electricity price at the current time step being in a low-price period.

[0095] In one implementation, the operation controller can also determine whether there is surplus photovoltaic power based on real-time photovoltaic output and real-time temporary power load. When the real-time photovoltaic output is greater than the real-time temporary power load and the real-time surplus power of the energy storage unit is lower than the upper limit of the safe state of charge, the energy storage unit is prioritized to use the surplus photovoltaic power for charging. When the real-time power extraction is close to or reaches the maximum demand threshold of the current cycle, peak shaving control is prioritized to limit the energy storage unit from continuing to charge or to control the energy storage unit to discharge, so as to ensure that the real-time power extraction does not exceed the maximum demand threshold of the current cycle.

[0096] When generating energy storage control commands, the controller performs a safety boundary check on the remaining power of the energy storage unit. If the remaining power of the energy storage unit is close to the lower limit of the safe state of charge, further discharge is restricted; if the remaining power of the energy storage unit is close to the upper limit of the safe state of charge, further charging is restricted.

[0097] After the current operating cycle ends, the operating records are updated based on the actual grid power intake, energy storage operation data, actual photovoltaic output data, and settlement demand, and the next operating cycle begins. At the start of the next operating cycle, the current cycle's construction schedule, current cycle's predicted load power sequence, current cycle's weather forecast data, photovoltaic installation information, historical power generation correction coefficients, and the remaining energy storage capacity at the beginning of the current cycle are reacquired. The current cycle's predicted photovoltaic output sequence is then regenerated, and the current cycle's maximum demand threshold is recalculated, thus forming a closed-loop control process that is optimized on a rolling basis according to the operating cycle.

[0098] Through the above controls, the temporary renewable energy power system can operate within the power supply range allowed by the recommended transformer capacity. In other words, the operation phase does not simply pursue peak-valley arbitrage, but rather, under the premise of meeting the transformer's safe output constraints, it determines the energy storage charging and discharging strategy by jointly considering the current cycle's predicted photovoltaic output, the current cycle's predicted load power, and the remaining energy storage capacity, and adjusts the grid's power intake in real time.

[0099] The running effect of this embodiment: In the construction project corresponding to this embodiment, the traditional scheme, calculated based on a peak load of 1000kW, a target power factor of 0.85, and a safety margin of 1.05, requires a 1250kVA transformer. If a 500kW photovoltaic system and a 50kW / 100kWh energy storage system are used, but only a low-valley charging and high-peak discharging strategy is implemented, although electricity costs can be reduced, the maximum demand of the grid may still exceed the safe active power output threshold of approximately 810kW corresponding to a 1000kVA transformer. Therefore, it is difficult to support reducing the transformer capacity from 1250kVA to 1000kVA.

[0100] Using the method of this embodiment, during the design phase, a 50kW / 100kWh energy storage configuration and a recommended 1000kVA transformer capacity are determined through joint optimization of the full-cycle load power sequence, the full-cycle photovoltaic power output sequence, energy storage capacity, and the full-cycle reference maximum grid power drawdown. During the operation phase, the maximum demand threshold is determined on a rolling basis on a calendar month basis, and the charging and discharging of the energy storage is controlled in real time by the operation controller to keep the grid power drawdown below the maximum demand threshold of the current cycle.

[0101] In one calculation result, the results of the traditional scheme, the comparative scheme, and the scheme of this embodiment are shown in the table below:

[0102] As shown in the table above, although the comparative scheme introduces photovoltaic power generation units and energy storage units, its energy storage units only operate according to the strategy of charging during off-peak hours and discharging during peak hours, without feeding the energy storage regulation capacity forward to the transformer capacity configuration stage. Therefore, the transformer capacity remains at 1250kVA. This embodiment, through a capacity configuration model during the design phase, determines the energy storage capacity, the maximum grid power draw from the reference grid throughout the entire cycle, and the recommended transformer capacity in conjunction. Furthermore, during the operation phase, it constrains the grid power draw by using the maximum demand threshold for the current cycle, thus reducing the transformer capacity to 1000kVA.

[0103] Therefore, this embodiment can transform the traditional static transformer selection method into a dynamic capacity configuration method based on photovoltaic output, energy storage regulation capacity, and load changes throughout the construction cycle. Compared with schemes that only utilize photovoltaic power generation for self-consumption or energy storage for peak-valley arbitrage, this embodiment can further leverage the role of energy storage units in transformer capacity reduction and demand control, thereby reducing equipment redundancy, basic electricity costs, and total electricity costs throughout the construction cycle of temporary renewable energy power systems.

[0104] Example 2: This embodiment provides a capacity configuration and operation control system for temporary renewable energy power systems, characterized by including a data acquisition module, a sequence generation module, a capacity configuration module for the design stage, a capacity scheme generation module, a demand optimization module for the operation stage, and a real-time operation control module. The data acquisition module is used to acquire basic data for the entire construction cycle of temporary power supply projects. The sequence generation module is used to generate a construction full-cycle load power sequence and a construction full-cycle photovoltaic output sequence based on the construction full-cycle basic data. The design phase capacity configuration module is used to construct a design phase capacity configuration model based on the full-cycle load power sequence and the full-cycle photovoltaic power output sequence. The design phase capacity configuration model takes energy storage capacity, transformer capacity and grid power as related objects and is used to determine energy storage configuration parameters and the full-cycle reference maximum grid power. The capacity scheme generation module is used to solve the capacity configuration model in the design phase, obtain the energy storage configuration parameters and the full-cycle reference maximum grid power extraction power, and determine the recommended transformer capacity based on the full-cycle reference maximum grid power extraction power to form a capacity configuration scheme for the temporary new energy power system. The demand optimization module during the operation phase is used to obtain the temporary power consumption forecast data and photovoltaic output forecast data of the current cycle according to the preset operation cycle during the operation phase, and determine the maximum demand threshold of the current cycle under the constraints of the capacity configuration scheme. The real-time operation control module is used to control the charging and discharging states of the energy storage unit according to the current cycle maximum demand threshold, so that the real-time power extraction power at the grid access end does not exceed the current cycle maximum demand threshold, and the temporary new energy power system operates within the power supply range allowed by the recommended transformer capacity.

[0105] For the specific functions of each module, please refer to the relevant descriptions in the above method embodiments, which will not be repeated here.

[0106] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for capacity configuration and operation control of temporary renewable energy power systems, characterized in that, The temporary renewable energy power system includes a photovoltaic power generation unit, an energy storage unit, a temporary power load, a grid connection terminal, a transformer, and an operation controller. The method includes: S1. Obtain basic data for the entire construction cycle of the temporary power supply project, and generate a construction cycle load power sequence and a construction cycle photovoltaic output sequence based on the basic data for the entire construction cycle. S2. Based on the full-cycle load power sequence and the full-cycle photovoltaic power output sequence, a capacity configuration model for the design stage is constructed. The capacity configuration model for the design stage uses energy storage capacity, transformer capacity and grid power as related objects to determine energy storage configuration parameters and the full-cycle reference maximum grid power. S3. Solve the capacity configuration model in the design phase to obtain the energy storage configuration parameters and the full-cycle reference maximum grid power extraction power, and determine the recommended transformer capacity based on the full-cycle reference maximum grid power extraction power to form a capacity configuration scheme for the temporary new energy power system. S4. During the operation phase, obtain the temporary power consumption forecast data and photovoltaic output forecast data for the current cycle according to the preset operation cycle, and determine the maximum demand threshold for the current cycle based on the capacity configuration scheme. S5. Control the charging and discharging states of the energy storage unit according to the current cycle maximum demand threshold, so that the real-time power extraction power at the grid access end does not exceed the current cycle maximum demand threshold, and the temporary new energy power system operates within the power supply range allowed by the recommended transformer capacity.

2. The capacity configuration and operation control method according to claim 1, characterized in that, In step S1, the basic data for the entire construction cycle includes the overall construction plan, construction phase division information, temporary power equipment information, photovoltaic installation information, meteorological information, electricity price information, energy storage equipment parameters, and transformer standard capacity parameters. Based on the overall construction plan, construction phase division information, and temporary power equipment information, determine the power equipment operation combination and load change relationship corresponding to different construction phases, and generate the full-cycle load power sequence according to the preset time step. Based on the photovoltaic installation information and meteorological information, the photovoltaic power generation power corresponding to different time steps is determined, and the photovoltaic power output sequence for the entire construction cycle is generated.

3. The capacity configuration and operation control method according to claim 1, characterized in that, In step S2, the capacity configuration model in the design phase uses the rated charging and discharging power of energy storage, the rated energy capacity of energy storage, and the reference maximum grid power drawdown over the entire cycle as variables to be solved; The design phase capacity configuration model establishes the correlation between energy storage capacity configuration, transformer capacity configuration and grid power extraction power based on the full-cycle load power sequence, full-cycle photovoltaic power output sequence, electricity price information, energy storage equipment parameters and transformer capacity-related parameters, so that the design phase capacity configuration model outputs the energy storage configuration parameters and the full-cycle reference maximum grid power extraction power. The maximum grid power taken from the grid throughout the entire construction cycle is used to characterize the peak grid power taken from the grid after the photovoltaic power generation unit and the energy storage unit have been coordinated and regulated throughout the entire construction cycle.

4. The capacity configuration and operation control method according to claim 3, characterized in that, The objective function of the capacity configuration model in the design phase includes the investment cost on the energy storage power side, the investment cost on the energy storage energy side, the investment cost of the transformer, the basic electricity cost for the entire construction cycle, and the time-of-use electricity cost for the entire construction cycle. The investment cost of the energy storage power side is determined based on the rated charge and discharge power of the energy storage; the investment cost of the energy storage energy side is determined based on the rated energy capacity of the energy storage; the investment cost of the transformer is determined based on the candidate transformer capacity calculated from the maximum grid power taken from the grid throughout the entire construction period; the basic electricity charge for the entire construction period is determined based on the basic electricity price, the total number of construction months, and the maximum grid power taken from the grid throughout the entire construction period; and the time-of-use electricity charge for the entire construction period is determined based on the time-of-use electricity price, grid power taken from the grid, and time step length corresponding to each time step.

5. The capacity configuration and operation control method according to claim 3, characterized in that, The capacity configuration model in the design phase includes power balance constraints, upper limit constraints on grid power extraction, energy storage power limit constraints, mutual exclusion constraints on energy storage charging and discharging, dynamic update constraints on remaining energy storage capacity, initial energy storage capacity constraints, boundary constraints on safe state of charge of energy storage, physical consistency constraints and non-negativity constraints of energy storage. The power balance constraint is used to ensure that the sum of the grid power draw, photovoltaic power generation and energy storage discharge power at each time step is equal to the sum of the temporary power load power, energy storage charging power and the equivalent power of curtailed solar power. The upper limit constraint on grid power consumption is used to ensure that the grid power consumption at each time step is not greater than the reference maximum grid power consumption for the entire cycle. The energy storage power limit constraint is used to restrict the charging power and discharging power of the energy storage unit at any time step from not exceeding the rated charging and discharging power of the energy storage. The energy storage charge and discharge mutual exclusion constraint is used to ensure that the energy storage unit is not in a charging state and a discharging state at the same time step. The dynamic update constraint for remaining energy storage capacity is used to describe the relationship between the energy storage unit's energy changes between adjacent time steps. The initial energy storage capacity constraint is used to determine the initial remaining energy storage capacity before the first time step in the design phase. The energy storage safe state of charge boundary constraint is used to limit the energy storage unit from overcharging and over-discharging, keeping it within the preset safe state of charge range; Nonnegativity constraints are used to ensure that continuous decision variables conform to their physical meaning.

6. The capacity configuration and operation control method according to claim 5, characterized in that, The energy storage power limit constraint introduces charging state variables and discharging state variables, and ensures that the energy storage charging power is not greater than the product of the energy storage rated charging and discharging power and the charging state variable, and that the energy storage discharging power is not greater than the product of the energy storage rated charging and discharging power and the discharging state variable. When solving the problem using a mixed-integer linear programming model, the product of the rated charge / discharge power of the energy storage and the charging state variable, as well as the product of the rated charge / discharge power of the energy storage and the discharging state variable, are linearized.

7. The capacity configuration and operation control method according to claim 5, characterized in that, In step S3, the candidate transformer capacity is calculated based on the full-cycle reference maximum grid power draw, the safety margin parameters in the design phase, and the target power factor. Then, in the standard capacity sequence corresponding to the standard capacity parameters of the transformer, the standard capacity that is not less than the candidate transformer capacity and has the smallest difference from the candidate transformer capacity is selected as the recommended transformer capacity.

8. The capacity configuration and operation control method according to claim 1, characterized in that, In step S4, the preset operating cycle is a natural month, and the temporary power consumption forecast data for the current cycle includes the construction schedule for the current cycle, the predicted load power sequence for the current cycle, and the remaining energy storage capacity at the beginning of the current cycle. The photovoltaic output prediction data includes current period weather forecast data, photovoltaic installation information and historical power generation correction coefficients. Based on the current period weather forecast data and photovoltaic installation information, the theoretical photovoltaic output corresponding to each time step in the current period is determined, and the theoretical photovoltaic output is corrected according to the historical power generation correction coefficients to generate the current period predicted photovoltaic output sequence. Under the condition of fixing the energy storage configuration parameters and the recommended transformer capacity, construct the current cycle operation optimization model, and solve the current cycle maximum demand threshold and the current cycle energy storage charging and discharging scheduling strategy based on the current cycle predicted load power sequence, the current cycle predicted photovoltaic output sequence and the current cycle beginning-of-month energy storage remaining power. The current cycle operation optimization model includes a current cycle power balance constraint, which is used to ensure that the sum of the grid power intake, predicted photovoltaic power output and energy storage discharge power at each time step in the current cycle is equal to the sum of the predicted load power, energy storage charging power and curtailed solar power in the current cycle.

9. The capacity configuration and operation control method according to claim 8, characterized in that, The current cycle operation optimization model also includes current cycle power intake constraints and transformer safe output constraints; The current cycle power consumption constraint is used to ensure that the grid power consumption at each time step in the current cycle is not greater than the current cycle maximum demand threshold. The transformer safe output constraint is used to ensure that the current cycle maximum demand threshold is not greater than the transformer safe output determined by the recommended transformer capacity, target power factor, and operating stage safety margin parameters. After the current operating cycle ends, the operating record is updated based on the actual grid power intake, energy storage operation data, actual photovoltaic output data and settlement demand. Then, the current cycle's predicted photovoltaic output sequence is regenerated, the current cycle's maximum demand threshold is redefined, and the current cycle's energy storage charging and discharging scheduling strategy is redefined for the next operating cycle.

10. A capacity configuration and operation control system for temporary renewable energy power systems, characterized in that, It includes a data acquisition module, a sequence generation module, a capacity configuration module for the design phase, a capacity scheme generation module, a demand optimization module for the operation phase, and a real-time operation control module; The data acquisition module is used to acquire basic data for the entire construction cycle of temporary power supply projects. The sequence generation module is used to generate a construction full-cycle load power sequence and a construction full-cycle photovoltaic output sequence based on the construction full-cycle basic data. The design phase capacity configuration module is used to construct a design phase capacity configuration model based on the full-cycle load power sequence and the full-cycle photovoltaic power output sequence. The design phase capacity configuration model takes energy storage capacity, transformer capacity and grid power as related objects and is used to determine energy storage configuration parameters and the full-cycle reference maximum grid power. The capacity scheme generation module is used to solve the capacity configuration model in the design phase, obtain the energy storage configuration parameters and the full-cycle reference maximum grid power extraction power, and determine the recommended transformer capacity based on the full-cycle reference maximum grid power extraction power to form a capacity configuration scheme for the temporary new energy power system. The demand optimization module during the operation phase is used to obtain the temporary power consumption forecast data and photovoltaic output forecast data of the current cycle according to the preset operation cycle during the operation phase, and determine the maximum demand threshold of the current cycle under the constraints of the capacity configuration scheme. The real-time operation control module is used to control the charging and discharging states of the energy storage unit according to the current cycle maximum demand threshold, so that the real-time power extraction power at the grid access end does not exceed the current cycle maximum demand threshold, and the temporary new energy power system operates within the power supply range allowed by the recommended transformer capacity.

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