A dispatching control method and system of an integrated energy storage power station interconnection system

Abstract

The application relates to a dispatching control method and system of an integrated energy storage power station interconnection system, and relates to the technical field of offshore power management. The method comprises the following steps: taking the maximum equivalent effective utilization of the interconnection system as an optimization target in a dispatching model, quantitatively comparing wind power consumption, pumped storage regulation contribution, power loss and operation and maintenance cost by mapping them to the power scale, expanding the dispatching decision from instantaneous power balance to the optimization of the overall energy utilization level in the dispatching period, and more truly reflecting the system operation efficiency; and discretizing the dispatching period into multiple dispatching time periods, introducing power balance constraints, equipment output constraints, interconnection line transmission constraints and seawater pumped storage power station exclusive constraints in each time period, so that the dispatching result meets the new energy output fluctuation characteristics, the traditional equipment operation limitation and the energy storage energy state evolution law, and the safety and the executability of the dispatching scheme are significantly improved.

Description

Technical Field

[0001] This application relates to the field of offshore power management technology, and in particular to a scheduling and control method and system for an integrated energy storage power station interconnection system. Background Technology

[0002] With the continuous expansion of offshore wind power and the sustained growth of energy demand in island regions, the interconnected system formed by offshore wind farms, island microgrids, and the main power grid via tie lines is gradually becoming an important form of energy supply and dispatch. This type of interconnected system typically exhibits characteristics such as large fluctuations in renewable energy output, strong load-side energy rigidity, limited transmission channels, and unique conditions for energy storage resource construction, thus placing higher demands on dispatch and control methods.

[0003] In existing technologies, power systems encompassing wind power, energy storage, and loads generally employ centralized dispatch models centered on power output. These models typically aim to reduce operating costs or balance supply and demand, uniformly optimizing wind power absorption, grid power exchange, and energy storage charging and discharging behavior. However, these dispatch methods still suffer from the following shortcomings in practical applications: On the one hand, power-based scheduling models focus on instantaneous power balance and are difficult to accurately reflect the effective energy utilization level of the system from the overall perspective of the scheduling cycle. Especially when it comes to equipment with significant energy time-series characteristics, such as pumped storage, it is difficult to make a unified quantitative comparison of energy conversion losses and operation and maintenance costs, resulting in deviations in scheduling results at the energy level.

[0004] On the other hand, in multi-region interconnected systems, centralized scheduling requires centralized collection of operational data from each region and unified calculation. As the system scales up, the computational complexity and communication burden increase significantly. Furthermore, in scenarios where there are scheduling authority or information isolation requirements between regions, the engineering applicability of the centralized model is limited.

[0005] Furthermore, existing scheduling methods often limit the constraints on tie lines to the upper and lower limits of instantaneous power, without fully considering operational constraints such as cumulative power deviation and frequent power changes within the scheduling cycle. This can easily lead to scheduling schemes being difficult to execute in actual operation. At the same time, the modeling of seawater pumped storage power stations is often treated as general energy storage devices, failing to incorporate systematic constraints based on their reservoir capacity evolution characteristics, which affects scheduling safety.

[0006] Therefore, there is an urgent need for a scheduling and control method for integrated energy storage power station interconnection systems that can comprehensively consider new energy consumption, energy storage regulation, tie line transmission and system operation constraints under a unified power metering framework, while also taking into account the engineering feasibility of decentralized solutions. Summary of the Invention

[0007] Therefore, it is necessary to provide a scheduling and control method and system for an integrated energy storage power station interconnection system to address the aforementioned technical problems.

[0008] In a first aspect, this application provides a scheduling and control method for an integrated energy storage power station interconnection system, the interconnection system including an offshore wind farm, a seawater pumped storage power station, an island microgrid, and a power grid connected via tie lines, the method comprising: A preset scheduling cycle is determined and discretized into multiple scheduling periods. Basic system operation parameters are collected for each period within the scheduling cycle. These basic parameters include the predicted wind power output of offshore wind farms, the predicted load values ​​of island microgrids and power grids, the power limit of tie lines, and the reservoir capacity parameters, unit efficiency parameters, and operation and maintenance cost parameters of seawater pumped storage power stations. The unit efficiency parameters include at least pumping efficiency and power generation efficiency. Based on the aforementioned basic parameters and preset parameters, a distributed optimization scheduling model based on power metering is constructed with the optimization objective of maximizing the equivalent effective power utilization of the interconnected system. The equivalent effective power utilization is the power value after deducting the preset loss and cost equivalent power from the system's effective contribution power. Based on the optimized scheduling model, system operation constraints adapted to the basic parameters are set. These constraints include power balance constraints, equipment output constraints, tie line transmission constraints, and constraints specific to seawater pumped storage power stations. The equipment output constraints include wind power output constraints used to limit the range of wind curtailment power. The optimized scheduling model is iteratively solved using a distributed solution algorithm, and the optimal power allocation scheme for each time period is determined in combination with the constraints until all constraints are met.

[0009] Optionally, the reservoir capacity parameters include the maximum capacity, minimum capacity, and current capacity of the reservoir; the operation and maintenance cost parameters include the average daily operation and maintenance cost per unit capacity of the reservoir and the average daily operation and maintenance cost per unit capacity of the generating unit; and the generating unit efficiency parameters also include the rated pumping power and rated power generation of the generating unit.

[0010] Optionally, the calculation of the equivalent effective power utilization includes the following steps: Based on the predicted wind power output, the preset scheduling time period step, and the wind curtailment power limited by the wind power output constraint, the wind power consumption is calculated. The wind power consumption is the cumulative value of the actual grid-connected wind power in each time period. Based on the power generation capacity, power generation efficiency, and preset scheduling time step of the seawater pumped storage power station, the pumped storage regulation contribution is calculated. The pumped storage regulation contribution is the cumulative value of the product of the corresponding parameters for each time period. Based on pumping efficiency, power generation efficiency, pumping power, power generation and preset scheduling time step, the energy conversion loss of pumped storage is calculated. The energy conversion loss of pumped storage is the difference between the equivalent power on the pumping side and the equivalent power on the power generation side. Based on the operation and maintenance cost parameters and the preset benchmark electricity price, the equivalent operation and maintenance cost electricity is calculated. The equivalent operation and maintenance cost electricity is the equivalent conversion value of the sum of the average daily operation and maintenance costs of the reservoir and the generating unit based on the benchmark electricity price. The equivalent effective utilization of electricity is calculated based on the electricity consumed by wind power, the electricity contributed by pumped storage regulation, the electricity lost by pumped storage energy conversion, and the electricity cost of equivalent operation and maintenance.

[0011] Optionally, the power balance constraint is: within any scheduling period, the cumulative value of the power grid connection of each region and the power exchange between regions is equal to the cumulative value of the power consumption of the load in that region and the pumping power of the seawater pumped storage power station. The power consumption of the load is calculated based on the load forecast value and the preset scheduling period step.

[0012] Optionally, the equipment output constraint also includes a thermal power output constraint, which limits the thermal power output to between a preset minimum output and a maximum output.

[0013] Optionally, the tie-line transmission constraints include: based on the tie-line power limit and a preset scheduling time step, limiting the cumulative transmission power deviation within the scheduling period to not exceed a preset range, the power variation between adjacent time periods to not exceed the product of the tie-line power limit and the time step, and the number of adjustments not exceeding a preset threshold.

[0014] Optionally, the specific constraints for the seawater pumped storage power station include output constraints and reservoir capacity constraints: The output constraints include: the unit's rated pumping power and rated generating power, limiting the pumping power and generating power to not exceed the corresponding rated output; The reservoir capacity constraints include: based on the reservoir capacity parameters, limiting the cumulative pumping power under pumping conditions to not exceed the power corresponding to the reservoir capacity redundancy, limiting the cumulative power generation under power generation conditions to not exceed the power corresponding to the current reservoir capacity, and ensuring that the reservoir capacity is within a preset safety range at the end of the scheduling cycle.

[0015] Optionally, the distributed solution algorithm is a preset synchronous alternating direction multiplier algorithm. During the iteration process, the constraint conditions are checked in real time, and the iteration stops when the consistency error of the exchanged electricity between regions is less than a preset error threshold.

[0016] Secondly, this application also provides a dispatch and control system for an integrated energy storage power station interconnection system, the interconnection system including an offshore wind farm, a seawater pumped storage power station, an island microgrid, and a power grid connected via tie lines, the dispatch and control system including: The basic parameter acquisition unit is used to determine the preset scheduling cycle and discretize it into multiple scheduling time periods, and to collect the basic system operation parameters for each time period within the scheduling cycle. The basic parameters include the predicted wind power output of the offshore wind farm, the predicted load values ​​of the island microgrid and the power grid, the power limit of the tie line, and the reservoir capacity parameters, unit efficiency parameters and operation and maintenance cost parameters of the seawater pumped storage power station. The unit efficiency parameters include at least pumping efficiency and power generation efficiency. The scheduling model construction unit is used to construct a distributed optimization scheduling model based on power metering, with the optimization objective of maximizing the equivalent effective power utilization of the interconnected system, based on the basic parameters and preset parameters. The equivalent effective power utilization is the power value after deducting the preset loss and cost equivalent power from the system's effective contribution power. The constraint setting unit is used to set system operation constraints adapted to the basic parameters based on the optimization scheduling model. The constraints include power balance constraints, equipment output constraints, tie line transmission constraints, and seawater pumped storage power station-specific constraints. The equipment output constraints include wind power output constraints used to limit the range of wind curtailment power. The allocation scheme generation unit is used to iteratively solve the optimization scheduling model using a distributed solution algorithm, and determine the optimal power allocation scheme for each time period in combination with the constraints, until all constraints are met.

[0017] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described in the first aspect.

[0018] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0019] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the method described in the first aspect.

[0020] The scheduling and control method of the integrated energy storage power station interconnection system disclosed in this application firstly optimizes the equivalent effective utilization of the interconnection system by taking the maximum effective utilization of the power in the scheduling model as the optimization objective. The power consumption of wind power, the regulation contribution of pumped storage, power loss and operation and maintenance costs are uniformly mapped to the power scale for quantitative comparison. This expands the scheduling decision from instantaneous power balance to the optimization of the overall energy utilization level of the scheduling cycle, and can more realistically reflect the system operating efficiency.

[0021] Secondly, by discretizing the scheduling cycle into multiple scheduling periods and introducing power balance constraints, equipment output constraints, tie line transmission constraints, and seawater pumped storage power station-specific constraints in each period, the scheduling results simultaneously satisfy the characteristics of new energy output fluctuations, the operating limitations of traditional equipment, and the evolution law of energy storage status, significantly improving the safety and feasibility of the scheduling scheme.

[0022] Furthermore, by introducing wind power output constraints to limit the range of wind curtailment power values ​​in the equipment output constraints, wind power output can be prioritized to participate in system energy supply under the premise of ensuring safe system operation, effectively reducing wind curtailment and improving the absorption level of offshore wind power and the utilization rate of new energy.

[0023] Furthermore, by employing a distributed solution algorithm to iteratively solve the optimization scheduling model, the interconnected system is divided into multiple regional sub-problems that can be solved independently. Each region only needs to achieve coordination and consistency through a limited number of exchange variables. This reduces computational complexity and communication burden while improving the engineering adaptability of the scheduling control method in multi-region and multi-entity scenarios.

[0024] In summary, this application can improve the energy utilization efficiency and new energy absorption capacity of the integrated energy storage power station interconnection system while ensuring system operation safety and constraint satisfaction, and has good engineering feasibility and promotion and application value. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the architecture of an integrated energy storage power station interconnection system in one embodiment; Figure 2 This is a flowchart illustrating the scheduling and control method of an integrated energy storage power station interconnection system in one embodiment; Figure 3 This is a schematic diagram of the scheduling and control system of an integrated energy storage power station interconnection system in one embodiment; Figure 4 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0027] This application provides a scheduling and control method for an integrated pumped storage power station interconnection system. This method can be applied to island interconnection systems with offshore wind power as the core power source. Island interconnection systems are suitable for application scenarios such as the southeastern sea areas of my country, where islands are densely populated, offshore wind power resources are abundant, and the demand for power supply from island microgrids is significant. In these application scenarios, island microgrids generally suffer from high power supply costs and fragile ecosystems. While offshore wind power can provide clean electricity, it is prone to curtailment due to its anti-peak-shaving characteristics. Seawater pumped storage power stations, as key regulating resources, face difficulties in cost recovery and insufficient investment enthusiasm during construction and operation. Simultaneously, the interconnection system needs to balance the local consumption and grid transmission needs of offshore wind power. With multiple regional power grids operating collaboratively through interconnection lines, it also needs to address multiple challenges such as power output fluctuations, load changes, and transmission constraints. Therefore, under the premise of ensuring the safe and stable operation of the system, it is necessary to conduct refined scheduling optimization of the interconnection system containing seawater pumped storage power stations to improve the level of renewable energy consumption, reduce system operating costs, and promote the sustainable development of seawater pumped storage power stations.

[0028] like Figure 1 As shown, the interconnected system involved in this embodiment includes multiple functional areas located in the same or adjacent sea areas. Area A is a centralized power supply and energy storage aggregation area, while Area B and Area C are independent island microgrid areas. Area A is equipped with at least one offshore wind farm, one seawater pumped storage power station, and a grid-connected node connected to the external main power grid. All power sources and energy storage devices are connected to the power system of Area A through a common busbar.

[0029] Region B and Region C correspond to different island microgrids. Each island microgrid includes local loads and optional distributed power sources, and is connected to Region A via its own independent tie lines, thereby enabling bidirectional power exchange. The tie lines have defined transmission power limits to constrain the energy exchange capacity between regions.

[0030] In this application scenario, offshore wind farms, as the primary renewable energy source, exhibit significant randomness and volatility in their power output. Island microgrid loads are affected by residential electricity consumption, tourism activities, and production activities within the island, resulting in distinct time-of-day variations. Seawater pumped storage power stations are used to absorb excess energy when wind power output is abundant and to release stored energy during periods of insufficient wind power or peak load, thus balancing the system's supply and demand. Simultaneously, Region A can exchange power with the external power grid through the main grid connection node, further enhancing the system's operational flexibility and security.

[0031] In the aforementioned interconnected system structure with multiple regions, power sources, and constraints, system operation involves multiple issues such as wind power absorption, energy storage regulation, island load protection, and limited tie-line transmission. Traditional centralized dispatching methods based on instantaneous power are difficult to balance overall energy utilization efficiency and engineering feasibility within the dispatching cycle. Therefore, this embodiment adopts a distributed dispatching and control method based on power metering, which uses the dispatching and control system of the interconnected system to uniformly optimize and coordinate the power allocation within each dispatching period.

[0032] The following will be about Figure 2 The following is a detailed explanation of a scheduling and control method for an integrated energy storage power station interconnection system, which may include the following steps: Step S1: Determine the preset scheduling period and discretize it into multiple scheduling time periods, and collect the basic system operation parameters for each time period within the scheduling period.

[0033] The basic parameters include the predicted wind power output of offshore wind farms, the predicted load values ​​of island microgrids and power grids, the power limit of tie lines, and the reservoir capacity parameters, unit efficiency parameters, and operation and maintenance cost parameters of seawater pumped storage power stations; the unit efficiency parameters include at least pumping efficiency and power generation efficiency.

[0034] In this embodiment, the scheduling control system first determines a preset scheduling period and then discretizes this scheduling period into multiple consecutive scheduling time periods. The scheduling period is preferably a daily scheduling period, and the step size of the scheduling time period is Δt, preferably 1 hour, thereby transforming the system operation problem in the continuous time domain into a power optimization problem in discrete time periods.

[0035] Through the above discretization process, the power variable of any device in the system during the scheduling period can be directly converted into the corresponding energy variable by multiplying it by the time period step, which satisfies the following relationship: Where P(t) represents the power value during the t-th scheduling period, and E(t) represents the corresponding electricity value.

[0036] Subsequently, the dispatch control system collects basic system operation parameters of the interconnected system on a time-by-time basis within the dispatch cycle. These basic parameters include, but are not limited to, the predicted wind power output of the offshore wind farm during each dispatch period. This characterizes the maximum generating capacity of a wind farm under current wind conditions; the predicted load power of island microgrids and external power grids. It is used to reflect the power demand level of the system during each scheduling period.

[0037] At the same time, the dispatch control system obtains the power transmission limit of the interconnection line between the interconnection system and the external power grid to define the power exchange boundary for each dispatch period: ,in, This represents the power exchange value between the interconnected system and the external power grid via tie lines during the t-th scheduling period, in MW; This indicates the maximum allowable output power of the tie line, corresponding to the upper limit of the interconnected system's ability to supply power to the external power grid; This indicates the minimum allowable power value for the tie line, which is usually negative and corresponds to the upper limit of the interconnected system's ability to receive power from the external power grid.

[0038] In addition, the dispatch and control system also acquires the operating parameters of the seawater pumped storage power station, including reservoir capacity-related parameters, as well as unit efficiency and operation and maintenance cost parameters. Among them, the unit efficiency parameters include at least the pumping efficiency ηp and the power generation efficiency ηg, which are used to describe the energy conversion relationship between pumping and power generation conditions; the operation and maintenance cost parameters are used to indicate the fixed or quasi-fixed energy consumption characteristics of the pumped storage power station during the dispatch cycle.

[0039] In one embodiment, the reservoir capacity parameters in S1 include the maximum capacity, minimum capacity, and current capacity of the reservoir; the operation and maintenance cost parameters include the average daily operation and maintenance cost per unit capacity of the reservoir and the average daily operation and maintenance cost per unit capacity of the generating unit; and the generating unit efficiency parameters also include the rated pumping power and rated power generation of the generating unit.

[0040] During implementation, the dispatch and control system obtains the maximum capacity of the seawater pumped storage power station's reservoir. , minimum capacity and the current storage capacity at the beginning of the scheduling cycle. Among them, the current storage capacity As the initial value of the reservoir's state variable during the scheduling period, its constraint relationship is expressed as follows:

[0041] During the scheduling cycle, the scheduling control system updates the reservoir capacity on a time-by-time basis based on the unit operating status, and the reservoir capacity evolution relationship satisfies:

[0042] Where V(t) represents the reservoir capacity at the end of the t-th scheduling period; This represents the pumping power during the t-th scheduling period. Let represent the power generation during the t-th scheduling period. And let satisfy the reservoir capacity constraint during any scheduling period:

[0043] In addition, the dispatch and control system can obtain the average daily operation and maintenance cost per unit capacity of the reservoir. and the average daily operation and maintenance cost per unit capacity of the unit And based on the scheduling cycle length, it is converted into the total operation and maintenance cost within the scheduling cycle:

[0044] in, This refers to the installed capacity of seawater pumped storage units.

[0045] To achieve unified optimization based on electricity metering, the dispatch control system further presets a benchmark electricity price. The operation and maintenance costs are converted into an equivalent form of electricity consumption to obtain the equivalent operation and maintenance cost electricity consumption:

[0046] Equivalent maintenance cost electricity It is introduced as a power loss term into the optimization objective function of step S2.

[0047] Unit efficiency parameters, including pumping efficiency and power generation efficiency In addition to this, it also includes the rated pumping power of the unit. and the rated generating capacity of the unit .

[0048] The dispatch and control system limits the operating range of the seawater pumped storage unit under different operating conditions based on the rated power parameters. The power constraint expression is as follows:

[0049] in, This indicates that the unit is in pumping mode. This indicates that the unit is in power generation mode.

[0050] Meanwhile, the pumping efficiency and power generation efficiency parameters are introduced into the energy conversion relationship through the reservoir capacity evolution formula to reflect the asymmetric conversion characteristics between pumping power and power generation, thereby avoiding scheduling results that violate energy conservation during the optimization process.

[0051] By introducing quantitative constraint formulas for the maximum capacity, minimum capacity, and current capacity of the reservoir in step S1, and combining them with mathematical modeling of unit capacity operation and maintenance costs and unit rated power, this embodiment enables the dispatch control system to accurately describe the initial state, operating boundary, and cost impact of the seawater pumped storage power station under a unified power metering framework. This ensures that the dispatch schemes obtained in subsequent steps S2 to S4 have good constraint consistency in terms of physical feasibility, energy conservation, and engineering feasibility.

[0052] Step S2: Based on the basic parameters and preset parameters collected in S1, a distributed optimization scheduling model based on power metering is constructed with the optimization objective of maximizing the equivalent effective power utilization of the interconnected system.

[0053] Among them, the equivalent effective utilization of electricity is the electricity value after deducting the preset loss and cost equivalent electricity from the effective contribution of the system.

[0054] In implementation, equivalent and effective utilization of electricity It can be defined as the effective contribution of the system to the load and the external power grid during the scheduling cycle, minus the equivalent electricity due to wind curtailment, energy conversion losses, and equipment maintenance during system operation. Its mathematical expression is:

[0055] in, This represents the system's effective power contribution, reflecting the total power actually provided by the system to the outside world during each scheduling period. Its calculation method is as follows:

[0056] In the formula, T represents the total number of scheduling periods within the scheduling cycle. This represents the wind power absorbed by the system during the t-th scheduling period. This indicates the power output of a seawater pumped storage power station under power generation conditions. This represents the power transmitted to the external power grid via the tie line during the t-th scheduling period.

[0057] The equivalent electricity corresponding to system losses and penalties, including at least the equivalent losses introduced by wind curtailment, is calculated using the following formula:

[0058] in, This represents the wind curtailment power during the t-th scheduling period.

[0059] This represents the equivalent electricity cost corresponding to the system's operation and maintenance costs. The dispatch and control system uses a preset benchmark electricity price. Converting maintenance costs from a monetary perspective to an electricity consumption perspective, the expression is as follows:

[0060] Through the above objective function construction process, the scheduling and control system transforms the original optimization problem based on economic benefits into an optimization problem with the goal of maximizing the net contribution of electricity, so that the optimization results directly reflect the renewable energy absorption capacity and the system energy utilization efficiency.

[0061] In one embodiment, the calculation of the equivalent effective power utilization in S2 includes the following steps: Based on the predicted wind power output, the preset scheduling time period step, and the wind curtailment power limited by the wind power output constraint, the wind power consumption is calculated. The wind power consumption is the cumulative value of the actual wind power grid connection power in each time period. Based on the power generation capacity, power generation efficiency, and preset scheduling time step of the seawater pumped storage power station, the power contribution of pumped storage regulation is calculated. The power contribution of pumped storage regulation is the cumulative value of the product of the corresponding parameters in each time period. Based on pumping efficiency, power generation efficiency, pumping power, power generation and preset scheduling time step, calculate the energy conversion loss of pumped storage. The energy conversion loss of pumped storage is the difference between the equivalent power on the pumping side and the equivalent power on the power generation side. Based on the operation and maintenance cost parameters and the preset benchmark electricity price, the equivalent operation and maintenance cost electricity is calculated. The equivalent operation and maintenance cost electricity is the sum of the average daily operation and maintenance costs of the reservoir and the generating unit, and the equivalent conversion value based on the benchmark electricity price. The equivalent effective utilization of electricity is calculated based on the electricity consumed by wind power, the electricity contributed by pumped storage regulation, the electricity lost by pumped storage energy conversion, and the electricity cost of equivalent operation and maintenance.

[0062] In implementation, after collecting the basic system operation parameters in step S1, the dispatch control system calculates each of the various power contribution items and loss items in the system within a preset dispatch period based on the discrete dispatch time period, and forms an equivalent effective power utilization under a unified power metering framework.

[0063] Specifically, the dispatch control system first calculates the wind power consumption within the dispatch cycle based on the predicted wind power output of the offshore wind farm in each dispatch period, the preset dispatch period step size, and the wind power output constraints.

[0064] During the t-th dispatch period, the predicted wind power output is The wind curtailment power is The actual grid-connected wind power volume during that scheduling period is... The calculation is as follows:

[0065] Among them, wind curtailment power Limited by wind power output constraints, its value range satisfies:

[0066] Furthermore, the wind curtailment power is limited to a preset power threshold by wind power output constraints. The preset power threshold is a preset proportion of the predicted wind power output.

[0067] The dispatch control system accumulates the actual wind power generation in each dispatch period within the dispatch cycle to obtain the wind power consumption within the dispatch cycle. :

[0068] Through the above calculations, the dispatch control system determines the actual utilization of wind power resources within the dispatch cycle at the electricity level.

[0069] After completing the calculation of wind power consumption, the dispatch control system further calculates the power contribution of pumped storage to the system's regulation based on the power generation, power generation efficiency, and dispatch time step of the seawater pumped storage power station in each dispatch period.

[0070] During the t-th scheduling period, when the seawater pumped storage unit is in power generation mode, its power generation capacity is: The corresponding power generation efficiency is The pumped storage power contribution during this scheduling period is... Represented as:

[0071] The dispatch control system accumulates the pumped storage power contribution during each dispatch period within the dispatch cycle to obtain the total pumped storage power contribution within the dispatch cycle.

[0072] This electricity figure reflects the effective energy support provided by the seawater pumped storage power station to the system during peak shaving and valley filling, and the smoothing of new energy fluctuations.

[0073] The dispatch control system also explicitly models the energy conversion losses during pumped storage based on pumping efficiency, power generation efficiency, pumping power, power generation, and the dispatch time interval. During the t-th dispatch time interval, when the seawater pumped storage unit is in pumping mode, its pumping power is... The corresponding pumping efficiency is The equivalent power generation on the pumping side during that scheduling period is... Represented as:

[0074] Correspondingly, under the power generation operating condition, the equivalent power generation on the generation side during the t-th dispatch period. Represented as:

[0075] The dispatch and control system calculates the energy conversion loss of pumped storage based on the difference between the equivalent power on the pumping side and the equivalent power on the generation side.

[0076] Specifically, the proportion of energy loss during pumped storage energy conversion to the cumulative pumped energy does not exceed a preset loss threshold. Through the above calculations, the unavoidable efficiency loss during the energy conversion process of pumped storage power stations is quantified as a specific energy loss item and incorporated into the overall equivalent energy calculation framework.

[0077] The dispatch and control system can also perform an equivalent electricity conversion of the operation and maintenance costs of the seawater pumped storage power station based on the operation and maintenance cost parameters collected in step S1 and the preset benchmark electricity price, to obtain the equivalent operation and maintenance cost electricity. .

[0078] After calculating the above-mentioned electricity quantities, the dispatch control system summarizes each electricity quantity item according to a unified electricity metering logic to obtain the equivalent effective utilization electricity quantity within the dispatch cycle:

[0079] Through the above implementation methods, the dispatch control system can uniformly and quantitatively evaluate the power utilization level of the interconnected system within the dispatch cycle without relying on the time-series fluctuations of electricity prices. This allows the equivalent effective power utilization to directly reflect the comprehensive trade-off between the new energy absorption capacity, the regulation contribution of pumped storage, and the system operating costs.

[0080] Step S3: Based on the optimized scheduling model in S2, set system operation constraints that are compatible with the basic parameters.

[0081] The constraints include power balance constraints, equipment output constraints, tie line transmission constraints, and constraints specific to seawater pumped storage power stations. Equipment output constraints include wind power output constraints, which are used to limit the range of wind curtailment power.

[0082] In implementation, the scheduling and control system configures system operation constraints that are compatible with the basic parameters in step S1 to optimize the scheduling model based on the physical operating characteristics of the interconnected system, so as to ensure that the solution results can be actually executed at both the physical and engineering levels.

[0083] First, the dispatch control system sets power balance constraints to describe the basic conservation characteristics of the system's supply and demand relationship within any dispatch period:

[0084] This represents the power value of the seawater pumped storage power station during the t-th scheduling period. A positive value indicates power generation, and a negative value indicates pumping. This represents the power exchange value of the tie line during the t-th scheduling period; This represents the predicted power of the system load during the t-th scheduling period.

[0085] This constraint ensures that the power supplied by the system matches the power demand of the load during each scheduling period.

[0086] Secondly, the dispatch control system sets equipment output constraints to limit the feasible operating range of various equipment during the dispatch process. Among these, wind power output constraints are used to limit the range of wind curtailment power:

[0087] And thus determine the wind curtailment power:

[0088] In addition, the dispatch and control system sets specific operating constraints for seawater pumped storage power stations, and their unit output meets the following requirements:

[0089] This indicates the maximum allowable output power of the seawater pumped storage unit under power generation conditions, corresponding to the unit's rated or ultimate power generation capacity. This represents the minimum allowable output power of a seawater pumped storage unit under pumping conditions. Its value is negative and is used to characterize the maximum power consumption capacity of the unit during pumping operation.

[0090] The energy conversion relationship during pumping and power generation is described using the reservoir capacity evolution equation:

[0091] By implementing step S3, the dispatch control system will optimize the target within the feasible domain that satisfies the principles of power grid security, equipment physical characteristics, and energy conservation.

[0092] In one embodiment, the power balance constraint in S3 is: within any scheduling period, the cumulative value of the power grid connection of each region and the power exchange between regions is equal to the cumulative value of the power consumption of the load in that region and the pumping power of the seawater pumped storage power station. The power consumption of the load is calculated based on the load forecast value in S1 and the preset scheduling period step.

[0093] In implementation, the scheduling control system discretizes the scheduling cycle into multiple scheduling periods. Furthermore, within each scheduling period, energy quantity rather than power is used as the balancing object. By introducing a preset scheduling period step size Δt, all types of power quantities in the system are uniformly converted into their corresponding energy quantity dimensions, thereby avoiding ambiguity caused by directly comparing different power variables within the same time period.

[0094] The power balance constraint follows the following basic principle: During any scheduling period, the sum of the power supplied by each regional power source to the grid and the power exchanged between regions through tie lines should be equal to the sum of the power consumed by the load in that region and the power consumed by the seawater pumped storage power station under pumping conditions.

[0095] The dispatch control system is based on the load forecast power obtained in step S1. And combined with the preset scheduling time interval step size Calculate the load power consumption during the t-th scheduling period. The calculation formula is as follows:

[0096] The power consumption of this load is used to characterize the actual demand of regional loads on system power during the corresponding scheduling period, and is a basic consumption item in the power balance constraint.

[0097] The electricity supplied to the grid by power sources in each region includes the electricity provided to the system by wind farms and pumped-storage power stations operating in power generation mode. Among these, the actual grid-connected electricity from wind power during dispatch period t is... Represented as:

[0098] Electricity output of seawater pumped storage power station under power generation conditions Represented as:

[0099] In addition, the exchanged electricity between regions via tie lines during the t-th scheduling period Power of the tie line Determining the step size of the scheduling period:

[0100] Among them, when A value greater than 0 indicates that the current power input area is being monitored. A value less than 0 indicates that power is being output to an external area.

[0101] When a seawater pumped-storage power station is in pumping mode, it consumes system energy as a load. The dispatch and control system is based on the pumping power. and scheduling time step Calculate the pumping power during the t-th scheduling period. The calculation formula is as follows:

[0102] Pumping power, as a consumption item in the power balance constraint, together with the power consumption of regional load, constitutes the power demand side of the system.

[0103] Based on the calculation results of the above-mentioned various types of electricity, the dispatch control system sets the following electricity balance constraint for any dispatch period ttt in step S3:

[0104] Expanding each energy item into a product of power and scheduling time step size yields an equivalent energy balance expression:

[0105] Through the aforementioned power balance constraints, the dispatch control system can ensure a strict match between power supply and demand in each dispatch period, thereby avoiding unexecutable dispatch results such as power shortages or false power balances.

[0106] In one embodiment, S3, the equipment output constraint also includes a thermal power output constraint, which limits the thermal power output to between a preset minimum output and a maximum output.

[0107] In practice, within interconnected systems, thermal power units typically serve as base loads or backup supports. Their operation is constrained by engineering factors such as boiler combustion stability, turbine thermal stress, and environmental emissions, preventing them from freely adjusting across the entire power range like new energy units. Therefore, during dispatch optimization, the output range of thermal power units must be clearly defined to avoid unfeasible situations where optimization results lead to frequent start-ups and shutdowns or operation below the stable combustion threshold.

[0108] Based on the above engineering background, this embodiment introduces thermal power output constraints in step S3 to limit the power dispatch of thermal power units to a preset range between minimum and maximum output.

[0109] In step S3, the dispatch control system pre-sets the minimum output of the thermal power unit based on the unit's design parameters or historical operating data. With maximum output .

[0110] At any scheduling period t, the output power of the thermal power unit The following output constraint relationship must be satisfied:

[0111] in, This represents the power generation provided by the thermal power units to the system during the t-th scheduling period; This indicates the minimum stable output power allowed for a thermal power unit. It represents the lowest power level at which a thermal power unit can operate stably for a long period, provided that boiler combustion is stable, turbine operation is safe, and environmental emissions meet standards. The unit is measured in MW. When the output power of a thermal power unit falls below this value, unstable combustion, a significant decrease in efficiency, or equipment safety risks may occur. This indicates the maximum allowable output power of a thermal power unit, which is the maximum active power that a thermal power unit can provide under the conditions of meeting the equipment's rated capacity, temperature rise, and safe operation constraints. The unit is MW, and it can be determined by the unit's rated capacity or the maximum adjustable output approved by the dispatching department.

[0112] To achieve unified dispatching based on electricity metering, the dispatch control system further integrates thermal power output with the dispatching time period step. Combining these, we obtain the on-grid power generation of the thermal power unit during the t-th dispatch period:

[0113] Thermal power grid connection electricity As the power source, it participates in the power balance constraint calculation in step S3 together with the power generated by wind power grid connection, the power generated by seawater pumped storage power generation and the power exchanged by interconnection lines.

[0114] By introducing thermal power output constraints in step S3, the dispatch control system can ensure that thermal power units always operate within a safe, stable, and feasible power range while prioritizing the consumption of new energy sources and flexibly adjusting pumped storage. When new energy output is insufficient or pumped storage is in pumping mode, thermal power units can assume a supporting role in the system within the output constraint range; when new energy output is sufficient or pumped storage is generating electricity, thermal power units prioritize maintaining the minimum stable output, thereby avoiding the crowding out of new energy consumption space due to excessive participation of thermal power in regulation. Therefore, this embodiment, by combining thermal power output constraints with power balance constraints, achieves coordinated and optimized dispatch of traditional thermal power units, new energy sources, and energy storage equipment under a unified power metering framework, improving the overall safety and dispatch feasibility of the interconnected system.

[0115] In one embodiment, in S3, the tie-line transmission constraint includes: based on the tie-line power limit in S1 and the preset scheduling time step, limiting the cumulative transmission power deviation within the scheduling period to not exceed a preset range, the power change amplitude between adjacent time periods to not exceed the product of the tie-line power limit and the time step, and the number of adjustments not exceeding a preset threshold.

[0116] In practice, in actual engineering operations, tie lines are constrained not only by instantaneous power limits but also by long-term energy exchange deviations, the frequency of adjustments, and the rate of power change. If only instantaneous power upper and lower limits are set for tie lines, it can easily lead to excessive cumulative power exchange deviations within the scheduling cycle, or result in unexecutable scheduling outcomes due to frequent and significant adjustments. Therefore, in step S3 of this embodiment, constraint modeling of the tie line operation process is performed from a power consumption perspective. By jointly limiting the cumulative transmission power deviation, the magnitude of power changes in adjacent time periods, and the number of adjustments, the tie line scheduling results are made closer to actual operating conditions.

[0117] The dispatch control system is based on the tie-line power obtained in step S1 and the preset scheduling time interval step Calculate the exchanged power of the tie line during the t-th scheduling period:

[0118] The dispatch control system calculates the cumulative exchange volume of the tie lines within the dispatch cycle and limits its deviation from the expected exchange benchmark to no more than a preset range. Let the cumulative exchange volume of the tie lines within the dispatch cycle be:

[0119] Let the preset target or benchmark exchange volume be... The preset allowable cumulative deviation range is The cumulative transmitted power deviation constraint is expressed as:

[0120] Through the above constraints, the dispatch control system can avoid the tie line from excessively transmitting or absorbing electricity in a single direction for a long period of time during the dispatch cycle, thereby reducing the impact on the operation mode of the external power grid.

[0121] The dispatch control system also limits the magnitude of power fluctuations in the tie line between adjacent dispatch periods to ensure the smoothness of tie line power adjustments. Between adjacent dispatch periods t and t+1, the tie line power fluctuations satisfy the following:

[0122] in, The power limit of the tie line is the value collected in step S1.

[0123] The above constraints are equivalent to limiting the rate of change of tie-line power to prevent power jumps that exceed the physical regulation capacity of the tie-line in adjacent scheduling periods.

[0124] The dispatch control system further limits the number of tie-line power adjustments to reduce the burden on equipment and the dispatch system caused by frequent switching of operating states. The dispatch control system defines adjustment indicator variables by determining whether the tie-line exchange power changes within adjacent dispatch periods. :

[0125] The following constraints are set on the number of tie-line adjustments within the scheduling cycle:

[0126] in, The preset threshold for the maximum number of times the communication line can be adjusted.

[0127] By limiting the number of adjustments, the dispatch control system can avoid frequent power level switching of tie lines within the dispatch cycle, thereby improving the stability and feasibility of the dispatch scheme in actual operation.

[0128] By introducing constraints on cumulative transmitted power deviation, power variation amplitude between adjacent time periods, and adjustment frequency in step S3, this embodiment expands the tie-line operation control from a single power limit constraint to a multi-dimensional constraint system covering both energy and time scales. This tie-line transmission constraint not only ensures the overall controllability of power exchange within the scheduling cycle but also significantly reduces tie-line operation fluctuations, improving the security of the interconnected system's coordinated operation with the external power grid and the engineering feasibility of the scheduling scheme.

[0129] In one embodiment, the specific constraints for the seawater pumped storage power station include output constraints and reservoir capacity constraints: output constraints include the rated pumping power and rated generating power of the unit, limiting the pumping power and generating power to not exceed the corresponding rated output; reservoir capacity constraints include, based on reservoir capacity parameters, limiting the cumulative value of pumping power under pumping conditions to not exceed the power corresponding to the reservoir capacity redundancy, and the cumulative value of generating power under generating conditions to not exceed the power corresponding to the current reservoir capacity, and ensuring that the reservoir capacity is within a preset safety range at the end of the scheduling cycle.

[0130] In implementation, the dispatch control system sets specific operational constraints for seawater pumped storage power stations, recognizing their dual attributes as both "adjustable output equipment" and "energy storage units." This ensures that dispatch results meet engineering feasibility requirements in both power and energy aspects. These specific constraints include output constraints and reservoir capacity constraints, which work synergistically within the dispatch cycle.

[0131] Specifically, based on the unit efficiency parameters and rated parameters collected in step S1, the dispatch control system pre-determines the rated pumping power of the units in the seawater pumped storage power station. and rated power generation .

[0132] At any given scheduling period t, the pumping power of the seawater pumped storage power station With power generation The following output constraints are satisfied respectively:

[0133]

[0134] Among them, the pumping power corresponds to the power station being in pumping mode, and the power generation power corresponds to the power station being in power generation mode.

[0135] In the power metering-based scheduling model, the scheduling control system further integrates the power variable with the scheduling time period step. Combining these, we obtain the corresponding pumping power and power generation:

[0136]

[0137] Pumping power and power generation are important components of load-side power and power-side power respectively in the power balance constraint.

[0138] The reservoir capacity of a seawater pumped storage power station is considered a state variable that evolves with the scheduling period, reflecting the energy storage level of the reservoir under different operating conditions. Let the reservoir capacity at the beginning of scheduling period t correspond to the equivalent electricity. The dispatch and control system updates the reservoir capacity status based on pumping and power generation behavior, and its evolution relationship is as follows:

[0139] in, For pumping efficiency, For power generation efficiency.

[0140] The above relationship reflects the physical process of energy being stored in the reservoir during pumping operations and energy being released from the reservoir during power generation operations.

[0141] In step S3, the dispatch control system pre-determines the equivalent power output corresponding to the maximum reservoir capacity based on the reservoir capacity parameters collected in step S1. During the scheduling cycle, to prevent pumping from causing the reservoir to exceed its safe capacity, the cumulative equivalent inflow of electricity under pumping conditions must meet the following constraints:

[0142] in, This represents the equivalent electricity volume corresponding to the current reservoir capacity at the start of the scheduling cycle.

[0143] The dispatch control system further limits the cumulative power generation under power generation conditions to ensure it does not exceed the energy range allowed by the current reservoir capacity, in order to avoid "negative reservoir capacity" or unachievable dispatch results. The cumulative equivalent outflow of power under power generation conditions satisfies:

[0144] The above constraints ensure that the power generation of the seawater pumped storage power station always uses the existing reservoir capacity as its energy source throughout the entire scheduling cycle.

[0145] To ensure that the seawater pumped storage power station still has the ability to continue operation or emergency regulation after the dispatch cycle ends, the dispatch control system sets a safe range constraint on the reservoir capacity status at the end of the dispatch cycle.

[0146] Let the preset lower and upper limits of warehouse capacity be respectively... and Then, at the end of the scheduling period, the following conditions are met:

[0147] By constraining reservoir capacity as described above, we can prevent the scheduling strategy from pursuing only short-term goals, which could lead to the reservoir being in an unfavorable operating state at the end of the cycle.

[0148] By introducing specific constraints for seawater pumped storage power stations based on output limitations and reservoir capacity evolution in step S3, this embodiment expands the operation process of pumped storage power stations from "single-time period power decision-making" to "cross-time period energy state decision-making." This constraint system not only ensures the physical feasibility and safety of pumped storage power station operation, but also enables it to participate in system optimization in collaboration with wind power, thermal power, and interconnection lines under a unified power metering and dispatching framework, thereby improving the overall renewable energy absorption capacity and operational stability of the interconnected system.

[0149] Step S4: The distributed solution algorithm is used to iteratively solve the optimal scheduling model of S2, and the optimal power allocation scheme for each time period is determined in combination with the constraints of S3, until all constraints are met.

[0150] In implementation, the dispatch control system employs a distributed solution algorithm to iteratively solve the optimal dispatch model based on power metering. Specifically, the power exchange processes of wind farms, seawater pumped storage power stations, and tie lines are treated as independent optimization sub-modules, and are solved collaboratively under a unified equivalent power target constraint.

[0151] In each iteration, the scheduling control system updates the power allocation results for each scheduling period based on the current solution and recalculates the equivalent effective power utilization.

[0152] When the equivalent effective power utilization change between two consecutive iterations meets the preset convergence condition:

[0153] in, This represents the equivalent effective power utilization calculated in the k-th iteration. This represents the effective power contribution of the system calculated by the dispatch control system based on the current dispatch scheme during the k-th iteration calculation. This represents the equivalent power consumption corresponding to the loss and penalty generated by the current scheduling scheme during the k-th iteration calculation.

[0154] The dispatch control system determines that the optimization process has converged and outputs the optimal power allocation scheme for each dispatch period within the dispatch cycle.

[0155] By implementing step S4, the equivalent effective utilization of electricity in the interconnected system can be maximized while meeting system operation constraints, significantly improving wind power absorption and reducing wind curtailment. This is especially suitable for application scenarios where renewable energy absorption is the core performance indicator.

[0156] In one embodiment, in S4, the distributed solution algorithm is a preset synchronous alternating direction multiplier algorithm. During the iteration process, the constraint conditions are checked in real time. The iteration stops when the consistency error of the exchanged electricity between regions is less than a preset error threshold.

[0157] In implementation, since each region in the interconnected system is relatively independent in terms of physical location, operating entity, and scheduling authority, and exchanges energy through tie lines, a centralized solution approach can easily lead to problems such as large computational scale, high information concentration, and slow scheduling response speed. Therefore, in this embodiment, the scheduling control system adopts the synchronous alternating direction multiplier algorithm to decompose the original optimization problem into multiple regional sub-problems. Each region independently solves its own power scheduling decision locally, and global coordination is achieved through consistency constraints on power exchange between regions.

[0158] In step S4, the dispatch control system decomposes the global optimization objective function of step S2 by region. Taking any region i as an example, its local optimization variables include: the power generation decision variables for wind power, thermal power, and pumped storage in each time period within the region; and the power exchange variables between region i and the adjacent region j. To ensure the consistency of power exchanged between regions, a globally consistent variable is introduced. And set the following equality constraints:

[0159] In each synchronization iteration k, the computation steps for each region are performed in the following order: 1. Local variable update for the region: In the (k+1)th iteration, region i, given the consistency variables from the previous round... and multiplier variables Under the given conditions, independently solve the optimization subproblems of this region:

[0160] in, Let represent all local decision variables in region i. This is the objective function for the equivalent effective utilization of electricity in this region. The penalty factor is preset. During this solution process, the power balance constraints, equipment output constraints, tie line transmission constraints, and seawater pumped storage power station-specific constraints set in the synchronous verification step S3 of region i ensure that the local solution is always within the feasible region.

[0161] 2. Synchronous updates of consistency variables After local optimization is completed in all regions, the dispatch control system synchronously updates the consistency variables of the exchanged electricity between regions. For any pair of interconnected regions i and j, the update method of the consistency variables in the (k+1)th iteration is as follows:

[0162] The above update method ensures that the exchange of electricity between regions gradually becomes consistent at the global level.

[0163] 3. Multiplier variable update After the consistency variables are updated, the scheduling and control system further updates the Lagrange multipliers:

[0164] The update of the multiplier variable is used to progressively strengthen the consistency constraint of the exchanged electricity between regions.

[0165] Thus, after each iteration, the dispatch control system calculates the consistency error of the exchanged electricity between regions to determine whether the iteration termination condition is met. The consistency error is defined as:

[0166] When the consistency error satisfies At this point, it is assumed that the exchange of electricity between regions has been coordinated and consistent at the global level, and the algorithm stops iterating. This is the preset error threshold.

[0167] By employing the synchronous alternating direction multiplier algorithm in step S4, this embodiment achieves an efficient solution to the power scheduling problem of a multi-region interconnected system without centralizing all system information.

[0168] This algorithm can ensure that all kinds of operational constraints in step S3 are met in real time, while gradually making the exchange of electricity between regions more consistent. It can also automatically terminate the iteration when the consistency error meets the preset threshold, thereby obtaining a globally optimal or near-optimal power scheduling scheme that meets the feasibility of the project.

[0169] Based on the above processing, firstly, by taking the maximization of the equivalent effective power utilization of the interconnected system as the optimization objective in the scheduling model, the wind power consumption, pumped storage regulation contribution, power loss and operation and maintenance costs are uniformly mapped to the power scale for quantitative comparison, so that the scheduling decision is extended from instantaneous power balance to the optimization of the overall energy utilization level of the scheduling cycle, which can more realistically reflect the system operating efficiency. Secondly, by discretizing the scheduling cycle into multiple scheduling periods and introducing power balance constraints, equipment output constraints, tie line transmission constraints, and seawater pumped storage power station-specific constraints in each period, the scheduling results simultaneously satisfy the characteristics of new energy output fluctuations, the operating limitations of traditional equipment, and the evolution law of energy storage status, significantly improving the safety and feasibility of the scheduling scheme.

[0170] Furthermore, by introducing wind power output constraints to limit the range of wind curtailment power values ​​in the equipment output constraints, wind power output can be prioritized to participate in system energy supply under the premise of ensuring safe system operation, effectively reducing wind curtailment and improving the absorption level of offshore wind power and the utilization rate of new energy.

[0171] Furthermore, by employing a distributed solution algorithm to iteratively solve the optimization scheduling model, the interconnected system is divided into multiple regional sub-problems that can be solved independently. Each region only needs to achieve coordination and consistency through a limited number of exchange variables. This reduces computational complexity and communication burden while improving the engineering adaptability of the scheduling control method in multi-region and multi-entity scenarios.

[0172] In summary, the embodiments of this application can improve the energy utilization efficiency and new energy absorption capacity of the integrated energy storage power station interconnection system while ensuring system operation safety and constraint satisfaction, and have good engineering feasibility and promotion and application value.

[0173] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0174] Based on the same inventive concept, such as Figure 3 As shown in the illustration, this application also provides a dispatch control system 300 for an integrated energy storage power station interconnection system. The interconnection system includes an offshore wind farm, a seawater pumped storage power station, an island microgrid, and a power grid connected via tie lines. The dispatch control system 300 includes: The basic parameter acquisition unit 310 is used to determine the preset scheduling period and discretize it into multiple scheduling time periods, and to collect the basic system operation parameters for each time period within the scheduling period. The basic parameters include the predicted wind power output of the offshore wind farm, the predicted load values ​​of the island microgrid and the power grid, the power limit of the tie line, and the reservoir capacity parameters, unit efficiency parameters and operation and maintenance cost parameters of the seawater pumped storage power station. The unit efficiency parameters include at least pumping efficiency and power generation efficiency. The scheduling model construction unit 320 is used to construct a distributed optimization scheduling model based on power metering, with the optimization objective of maximizing the equivalent effective power utilization of the interconnected system, based on the basic parameters and preset parameters. The equivalent effective power utilization is the power value after deducting the preset loss and cost equivalent power from the system's effective contribution power. The constraint setting unit 330 is used to set system operation constraints adapted to the basic parameters based on the optimized scheduling model. The constraints include power balance constraints, equipment output constraints, tie line transmission constraints, and seawater pumped storage power station-specific constraints. The equipment output constraints include wind power output constraints used to limit the range of wind curtailment power. The allocation scheme generation unit 340 is used to iteratively solve the optimization scheduling model using a distributed solution algorithm, and determine the optimal power allocation scheme for each time period in combination with the constraints, until all constraints are met.

[0175] In one embodiment, the reservoir capacity parameters include the maximum capacity, minimum capacity, and current capacity of the reservoir; the operation and maintenance cost parameters include the average daily operation and maintenance cost per unit capacity of the reservoir and the average daily operation and maintenance cost per unit capacity of the generating unit; and the generating unit efficiency parameters also include the rated pumping power and rated power generation of the generating unit.

[0176] In one embodiment, the calculation of the equivalent effective power utilization includes the following steps: Based on the predicted wind power output, the preset scheduling time period step, and the wind curtailment power limited by the wind power output constraint, the wind power consumption is calculated. The wind power consumption is the cumulative value of the actual grid-connected wind power in each time period. Based on the power generation capacity, power generation efficiency, and preset scheduling time step of the seawater pumped storage power station, the pumped storage regulation contribution is calculated. The pumped storage regulation contribution is the cumulative value of the product of the corresponding parameters for each time period. Based on pumping efficiency, power generation efficiency, pumping power, power generation and preset scheduling time step, the energy conversion loss of pumped storage is calculated. The energy conversion loss of pumped storage is the difference between the equivalent power on the pumping side and the equivalent power on the power generation side. Based on the operation and maintenance cost parameters and the preset benchmark electricity price, the equivalent operation and maintenance cost electricity is calculated. The equivalent operation and maintenance cost electricity is the equivalent conversion value of the sum of the average daily operation and maintenance costs of the reservoir and the generating unit based on the benchmark electricity price. The equivalent effective utilization of electricity is calculated based on the electricity consumed by wind power, the electricity contributed by pumped storage regulation, the electricity lost by pumped storage energy conversion, and the electricity cost of equivalent operation and maintenance.

[0177] In one embodiment, the power balance constraint is: within any scheduling period, the cumulative value of the power grid connection of each region and the power exchange between regions is equal to the cumulative value of the power consumption of the load in that region and the pumping power of the seawater pumped storage power station. The power consumption of the load is calculated based on the load forecast value and the preset scheduling period step.

[0178] In one embodiment, the equipment output constraint further includes a thermal power output constraint, which limits the thermal power output to between a preset minimum output and a maximum output.

[0179] In one embodiment, the tie-line transmission constraints include: based on the tie-line power limit and a preset scheduling time step, limiting the cumulative transmission power deviation within the scheduling period to not exceed a preset range, the power variation between adjacent time periods to not exceed the product of the tie-line power limit and the time step, and the number of adjustments not exceeding a preset threshold.

[0180] In one embodiment, the specific constraints of the seawater pumped storage power station include output constraints and reservoir capacity constraints: The output constraints include: the unit's rated pumping power and rated generating power, limiting the pumping power and generating power to not exceed the corresponding rated output; The reservoir capacity constraints include: based on the reservoir capacity parameters, limiting the cumulative pumping power under pumping conditions to not exceed the power corresponding to the reservoir capacity redundancy, limiting the cumulative power generation under power generation conditions to not exceed the power corresponding to the current reservoir capacity, and ensuring that the reservoir capacity is within a preset safety range at the end of the scheduling cycle.

[0181] In one embodiment, the distributed solution algorithm is a preset synchronous alternating direction multiplier algorithm. During the iteration process, the constraint conditions are checked in real time, and the iteration stops when the consistency error of the exchanged electricity between regions is less than a preset error threshold.

[0182] In one embodiment, a computer device is provided, the internal structure of which can be shown as follows: Figure 4As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores data. The I / O interfaces are used for data exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a scheduling and control method for an integrated energy storage power station interconnection system.

[0183] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0184] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0185] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0186] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0187] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The processors involved in the embodiments provided in this application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited thereto.

[0188] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0189] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A scheduling and control method for an integrated energy storage power station interconnection system, characterized in that, The interconnected system includes offshore wind farms, seawater pumped storage power stations, island microgrids, and power grids connected via tie lines; the method includes: A preset scheduling period is determined and discretized into multiple scheduling time periods. All power variables within the scheduling period are multiplied by the scheduling time period step size to convert them into corresponding power variables. Basic system operation parameters for each time period within the scheduling period are collected. These basic parameters include the predicted wind power output of offshore wind farms, the predicted load values ​​of island microgrids and power grids, the power limit of tie lines, and the reservoir capacity parameters, unit efficiency parameters, and operation and maintenance cost parameters of seawater pumped storage power stations. The unit efficiency parameters include at least pumping efficiency and power generation efficiency. Based on the aforementioned basic parameters and preset parameters, a distributed optimization scheduling model based on electricity metering is constructed with the optimization objective of maximizing the equivalent effective utilization of electricity in the interconnected system. The equivalent effective utilization of electricity is the electricity value after deducting preset loss and cost equivalent electricity from the system's effective contribution electricity. It is calculated by summing the wind power consumption electricity and the pumped storage regulation contribution electricity, and deducting the pumped storage energy conversion loss electricity and equivalent operation and maintenance cost electricity. The equivalent operation and maintenance cost electricity is obtained by equivalent conversion based on operation and maintenance cost parameters and preset benchmark electricity price. Based on the optimized scheduling model, system operation constraints adapted to the basic parameters are set. These constraints include power balance constraints, equipment output constraints, tie-line transmission constraints, and constraints specific to the seawater pumped storage power station. The equipment output constraints include wind power output constraints to limit the range of wind curtailment power. The power balance constraints are the cumulative value of the power grid connection of each region and the power exchange between regions within any scheduling period, which is equal to the cumulative value of the power consumed by the load in that region and the pumping power of the seawater pumped storage power station. The tie-line transmission constraints include that the cumulative transmission power deviation within the scheduling cycle does not exceed a preset range, the power change amplitude between adjacent time periods does not exceed the product of the tie-line power limit and the time period step, and the number of adjustments does not exceed a preset threshold. The optimized scheduling model is iteratively solved using a preset synchronous alternating direction multiplier algorithm. An equality constraint is set whereby the power exchange variable between adjacent regions is equal to the global consistency variable. The iteration stops when the consistency error of the power exchange between regions is less than a preset error threshold. The optimal power allocation scheme for each time period is determined in combination with the constraints.

2. The method according to claim 1, characterized in that, The reservoir capacity parameters include the maximum capacity, minimum capacity, and current capacity of the reservoir. The operation and maintenance cost parameters include the average daily operation and maintenance cost per unit capacity of the reservoir and the average daily operation and maintenance cost per unit capacity of the generating unit. The generating unit efficiency parameters also include the rated pumping power and rated power generation of the generating unit.

3. The method according to claim 1, characterized in that, The calculation of the equivalent effective power utilization includes the following steps: Based on the predicted wind power output, the preset scheduling time period step, and the wind curtailment power limited by the wind power output constraint, the wind power consumption is calculated. The wind power consumption is the cumulative value of the actual grid-connected wind power in each time period. Based on the power generation capacity, power generation efficiency, and preset scheduling time step of the seawater pumped storage power station, the pumped storage regulation contribution is calculated. The pumped storage regulation contribution is the cumulative value of the product of the corresponding parameters for each time period. Based on pumping efficiency, power generation efficiency, pumping power, power generation and preset scheduling time step, the energy conversion loss of pumped storage is calculated. The energy conversion loss of pumped storage is the difference between the equivalent power on the pumping side and the equivalent power on the power generation side. Based on the operation and maintenance cost parameters and the preset benchmark electricity price, the equivalent operation and maintenance cost electricity is calculated. The equivalent operation and maintenance cost electricity is the equivalent conversion value of the sum of the average daily operation and maintenance costs of the reservoir and the generating unit based on the benchmark electricity price. The equivalent effective utilization of electricity is calculated based on the electricity consumed by wind power, the electricity contributed by pumped storage regulation, the electricity lost by pumped storage energy conversion, and the electricity cost of equivalent operation and maintenance.

4. The method according to claim 1, characterized in that, The power consumption of the load is calculated based on the load forecast value and the preset scheduling time step.

5. The method according to claim 1, characterized in that, The equipment output constraint also includes a thermal power output constraint, which limits the thermal power output to between a preset minimum output and a maximum output.

6. The method according to claim 1, characterized in that, The tie-line transmission constraints include: based on the tie-line power limit and a preset scheduling time step size setting.

7. The method according to claim 1, characterized in that, The specific constraints for the seawater pumped storage power station include output constraints and reservoir capacity constraints: The output constraints include: the unit's rated pumping power and rated generating power, limiting the pumping power and generating power to not exceed the corresponding rated output; The reservoir capacity constraints include: based on the reservoir capacity parameters, limiting the cumulative pumping power under pumping conditions to not exceed the power corresponding to the reservoir capacity redundancy, limiting the cumulative power generation under power generation conditions to not exceed the power corresponding to the current reservoir capacity, and ensuring that the reservoir capacity is within a preset safety range at the end of the scheduling cycle.

8. The method according to claim 1, characterized in that, During the iteration process, the constraint conditions are checked in real time. The iteration stops when the consistency error of the exchanged electricity between regions is less than the preset error threshold.

9. A dispatching and control system for an integrated energy storage power station interconnection system, characterized in that, The interconnected system includes offshore wind farms, seawater pumped storage power stations, island microgrids, and power grids connected via tie lines. The dispatch and control system includes: The basic parameter acquisition unit is used to determine the preset scheduling period and discretize it into multiple scheduling time periods. It multiplies all power variables within the scheduling period by the scheduling time period step size to convert them into corresponding power variables. It collects the basic system operation parameters for each time period within the scheduling period. The basic parameters include the predicted wind power output of the offshore wind farm, the predicted load values ​​of the island microgrid and the power grid, the tie line power limit, and the reservoir capacity parameters, unit efficiency parameters, and operation and maintenance cost parameters of the seawater pumped storage power station. The unit efficiency parameters include at least pumping efficiency and power generation efficiency. The scheduling model construction unit is used to construct a distributed optimization scheduling model based on electricity metering, with the optimization objective of maximizing the equivalent effective utilization of electricity in the interconnected system, based on the aforementioned basic parameters and preset parameters. The equivalent effective utilization of electricity is the electricity value after deducting preset loss and cost equivalent electricity from the system's effective contribution electricity. It is calculated by subtracting the energy conversion loss electricity of pumped storage and the equivalent operation and maintenance cost electricity from the sum of wind power consumption electricity and pumped storage regulation contribution electricity. The equivalent operation and maintenance cost electricity is obtained by equivalent conversion based on operation and maintenance cost parameters and a preset benchmark electricity price. The constraint setting unit is used to set system operation constraints adapted to the basic parameters based on the optimized scheduling model. The constraints include power balance constraints, equipment output constraints, tie-line transmission constraints, and constraints specific to the seawater pumped storage power station. The equipment output constraints include wind power output constraints to limit the range of wind curtailment power. The power balance constraints are the cumulative value of the power grid connection of each region and the power exchange between regions within any scheduling period, which is equal to the cumulative value of the power consumed by the load in that region and the pumping power of the seawater pumped storage power station. The tie-line transmission constraints include that the cumulative transmission power deviation within the scheduling cycle does not exceed a preset range, the power change amplitude between adjacent time periods does not exceed the product of the tie-line power limit and the time period step, and the number of adjustments does not exceed a preset threshold. The allocation scheme generation unit is used to iteratively solve the optimized scheduling model using a preset synchronous alternating direction multiplier algorithm, set an equality constraint that the power exchange variable between adjacent regions is equal to the global consistency variable, stop iterating when the consistency error of the power exchange between regions is less than a preset error threshold, and determine the optimal power allocation scheme for each time period in combination with the constraint conditions.

10. A computer device, characterized in that, The computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the scheduling and control method of the integrated energy storage power station interconnection system according to any one of claims 1-8.

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