Regional energy storage and power distribution network cooperative control method and system, equipment, storage medium and computer program product

Abstract

The invention discloses a regional energy storage and power distribution network cooperative control method and system, the system comprises a main power grid and a power distribution network regulation and control center, the power distribution network regulation and control center comprises a regional energy storage station, and the regional energy storage station comprises an energy storage unit, a monitoring module and a control module; the control module executes self-discipline regulation and control and dynamically optimizes the resource power demand of the energy storage station; for power disturbance of a short time scale, the monitoring module collects gateway power data and calculates a power disturbance quantity, calculates a power adjustment quantity according to the power disturbance quantity and instructs the energy storage unit to perform charging and discharging operation; and aiming at the power disturbance of the medium and long time scale, the power distribution network regulation and control center implements an economic dispatching strategy, and optimizes the operation states of the energy, the load and the regional energy storage station in the power distribution network regulation and control center according to the index parameters of the main power grid. According to the method, efficient interaction of flexible resources is achieved, and tight coupling and efficient operation of the energy storage station and the power distribution network are achieved through cooperative regulation and control of short, medium and long time scales.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system and distribution network operation, in particular to a regional energy storage and distribution network collaborative control method and system. BACKGROUND

[0002] With the increase of new energy access proportion and the complexity of load characteristics, the operation of distribution network faces challenges in frequency, power and voltage stability, etc. The traditional grid control technology has problems such as long reaction period and low resource utilization efficiency in dealing with frequency disturbance, load fluctuation and voltage out-of-limit. In addition, the deployment of energy storage system in distribution network has not formed an effective collaborative operation mechanism. CN112018798A discloses a regional energy storage station participating in disturbance suppression of distribution network multi-time scale self-regulation operation method, mainly relying on energy storage station charging and discharging, demand side response and network reconstruction to suppress power disturbance in layers. However, this scheme still takes the single energy storage station as the core, lacks deep cooperation with the overall operation of the distribution network, and the resource interaction logic is relatively static, which is difficult to meet the operation requirements of the new type of distribution network integrating "source-load-storage". SUMMARY

[0003] The purpose of the present application is to provide a regional energy storage and distribution network collaborative control method and system, which improves the operation efficiency of the distribution network through deep cooperation between the energy storage station and the distribution network.

[0004] Technical scheme: The regional energy storage and distribution network collaborative control method disclosed by the present application is applied to a distribution network control center, the distribution network control center is connected with a main grid, and the distribution network control center includes a regional energy storage station. The method comprises the following steps:

[0005] For short-time scale power disturbance, the gateway power data is collected, and the power disturbance amount is calculated according to the gateway power data. The power adjustment amount is calculated according to the power disturbance amount, and the energy storage unit of the regional energy storage station is instructed to perform charging and discharging operation according to the power adjustment amount;

[0006] For medium and long time scale power disturbance, an economic dispatch strategy is implemented with the target of power purchase and operation cost, and / or the operation state of energy, load and regional energy storage station in the distribution network control center is optimized according to the index parameters of the main grid.

[0007] Further, the regional energy storage station participates in primary frequency modulation of the main grid based on a pre-set response characteristic.

[0008] Further, the operation report generated by the distribution network control center is fed back to the main grid, and the operation report is used to evaluate the operation effect.

[0009] Further, the main power grid and the distribution network regulation center transmit frequency signals, set safety conditions, and transmit operation reports through the main power grid interface.

[0010] Further, for power disturbance in a medium and long time scale, the target function of the economic dispatch strategy is:

[0011]

[0012] wherein, is a time series, is a total scheduling period, is a grid purchase cost coefficient, is a grid purchase power at time t, is a storage operation cost coefficient, is a storage charge-discharge power at time t, is a voltage deviation penalty factor, is a voltage deviation at time t;

[0013] The constraint conditions of the target function include at least one of a voltage limit constraint, a static security constraint, and a distributed energy power range constraint.

[0014] Further, the storage unit of the regional storage station is instructed to charge and discharge according to the power adjustment amount, and a proportional-integral control strategy is adopted:

[0015]

[0016] wherein, is a storage charge-discharge power at time t, is a target power, is an actual power, is a proportional coefficient, is an integral coefficient; is a power adjustment amount; The constraint conditions of the proportional-integral control strategy include at least one of a voltage limit constraint, a static security constraint, and a distributed energy power range constraint.

[0017] Further, the storage unit includes a power-type storage and an energy-type storage.

[0018]

[0019] ​​​​The energy storage unit adopts a dynamic response mechanism to respond to power disturbances of short time scales and medium and long time scales under the control of preset instructions; for power disturbances of medium and long time scales, the power type energy storage transfers the remaining energy demand to the energy type energy storage after responding to the disturbances according to the preset instructions, the energy type energy storage adjusts and compensates according to the remaining energy demand, a certain amount of adjustable capacity margin of the power type energy storage is reserved to prevent the problem of no available adjustment resources when facing the next large disturbance; for power disturbances of short time scales, the energy type energy storage responds to power disturbances of short time scales according to the preset instructions.

[0020] The regional energy storage and power distribution network collaborative control system disclosed by the application is applied to a power distribution network control center, the power distribution network control center is connected with a main power grid, the main power grid and the power distribution network control center, and the power distribution network control center comprises a regional energy storage station, and the system comprises:

[0021] For power disturbances of short time scales, gateway power data is collected, and a power disturbance amount is calculated according to the gateway power data; a power adjustment amount is calculated according to the power disturbance amount, and a storage unit of the regional energy storage station is instructed to charge and discharge according to the power adjustment amount;

[0022] For power disturbances of medium and long time scales, an economic dispatch strategy is implemented with the purchase and operation cost as a target, and / or the operating state of energy, load and the regional energy storage station in the power distribution network control center is optimized according to an index parameter of the main power grid.

[0023] Further, the regional energy storage station participates in primary frequency modulation of the main power grid based on a preset response characteristic.

[0024] Further, an operation report generated by the power distribution network control center is fed back to the main power grid, and the operation report is used to evaluate the operation effect.

[0025] Further, the main power grid and the power distribution network control center transmit frequency signals, set safety conditions, and transmit operation reports through a main power grid interface.

[0026] Further, for power disturbances of medium and long time scales, the target function of the economic dispatch strategy is:

[0027]

[0028] wherein, is a time sequence, is a total dispatch period, is a power grid purchase cost coefficient, is a power grid purchase power at a moment, is a storage operation cost coefficient, is a power grid purchase power at a moment, and is a power grid purchase power at a moment. the energy storage charging and discharging power at the moment, is a voltage deviation penalty factor, is the voltage deviation at the moment;

[0029] The constraint conditions of the objective function include at least one of a voltage limit constraint, a static security constraint and a distributed energy power range constraint.

[0030] Further, the energy storage unit of the regional energy storage station is instructed to perform charging and discharging operation according to the power adjustment amount, and a proportional-integral control strategy is adopted:

[0031]

[0032] wherein, is the energy storage charging and discharging power at the moment, is a target power, is an actual power, is a proportional coefficient, is an integral coefficient; is a power adjustment amount;

[0033] The constraint conditions of the proportional-integral control strategy include at least one of a voltage limit constraint, a static security constraint and a distributed energy power range constraint.

[0034] Further, the energy storage unit includes a power-type energy storage and an energy-type energy storage;

[0035] The energy storage unit adopts a dynamic response mechanism to respond to power disturbances of short time scales and medium and long time scales under the control of a preset instruction; for power disturbances of medium and long time scales, the power-type energy storage transfers the remaining energy demand to the energy-type energy storage after responding to the disturbances according to the preset instruction, the energy-type energy storage adjusts and compensates according to the remaining energy demand, and a certain amount of adjustable capacity margin of the power-type energy storage is reserved to prevent the problem of no available adjustment resources when facing the next large disturbance; for power disturbances of short time scales, the energy-type energy storage responds to the power disturbances of short time scales according to the preset instruction.

[0036] The computer readable storage medium of the present application stores a computer program, and the computer program is executed by a processor to realize the regional energy storage and power distribution network collaborative control method.

[0037] The computer program product of the present application includes a computer program, and the computer program is executed by a processor to realize the regional energy storage and power distribution network collaborative control method.

[0038] The electronic device of the present invention includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the computer program is loaded into the processor, it implements the regional energy storage and distribution network coordinated control method.

[0039] Beneficial effects: Compared with existing technologies, the advantages of this invention are: This invention achieves flexible and efficient interaction of resources; through coordinated regulation on short, medium, and long time scales, it realizes close coupling and efficient operation of energy storage stations and distribution networks, optimizes power resource allocation, improves operational efficiency, and ensures the safety and stability of the main power grid. This invention provides technical support for the development of smart grids and the energy internet. Attached Figure Description

[0040] Figure 1 This is a power system structure diagram according to an embodiment of the present invention.

[0041] Figure 2 This is a simulation example diagram from an embodiment of the present invention. Detailed Implementation

[0042] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0043] Example 1

[0044] like Figure 1 As shown, the power system includes a main power grid, a distribution network control center, and a communication network connecting the two. The power grid is responsible for issuing frequency signals, setting safety boundaries, and receiving feedback evaluations to optimize system operation. The distribution network mainly includes regional energy storage stations, loads, distributed resources, and new energy generation components. Based on this power system, the regional energy storage and distribution network coordinated control method of this invention includes the following steps.

[0045] S1, the control module of the regional energy storage station performs autonomous regulation function, dynamically optimizes the resource power demand of the energy storage station based on real-time data, so that the power characteristics of the gate meet the performance index requirements of the distribution network, and ensures the effective connection between the energy storage station and the operation target of the distribution network.

[0046] S2 addresses short-term power disturbances by monitoring the threshold power in real time and extracting the power disturbance amount. It then uses a rapid response mechanism to adjust charging and discharging behavior, thereby smoothing out power fluctuations and mitigating the impact of grid load fluctuations.

[0047] In response to changes in the main power grid frequency, the energy storage station participates in the primary frequency regulation of the main power grid based on its set response characteristics. The energy storage equipment adjusts its output power according to the real-time frequency deviation, ensuring the frequency stability of the main power grid through an efficient regulation strategy.

[0048] S4, for power disturbances on medium and long time scales, implements economic dispatch strategies through the distribution network control center, and / or, the control center optimizes the operating status of distributed energy, loads and energy storage station resources based on the index parameters of the main power grid, and coordinates the allocation of resources within the grid to achieve the dual goals of safety and economy.

[0049] S5, regarding the deviation of the power target, the energy storage station dynamically balances the deviation through further optimization, thereby achieving the precise attainment of the power target. This invention also incorporates constraints such as voltage limits, static safety constraints, and the power range of distributed energy sources to ensure the safe operation of the distribution network and energy storage system.

[0050] Furthermore, the distribution network control center needs to collect the power at the control point in real time at a certain sampling rate. Let the power sequence be P(k) and the sampling interval be T. The smooth component of the short time scale is calculated by the rolling average method. The smooth component of the medium time scale is calculated based on the rolling average of the smooth component of the short time scale. The power ramp rate of the medium time scale is calculated by the difference between the smooth components of the medium time scale at two adjacent moments. The power disturbance of the long time scale is described by the smooth component of the medium time scale.

[0051] Formula for calculating short-timescale power disturbances: ;

[0052] Formula for calculating power perturbation on medium time scale: ;

[0053] Formula for calculating the gradient rate on a medium time scale: ;

[0054] Purpose: To constrain the magnitude and rate of power changes, prevent overcharging and discharging of energy storage units or excessive power ramp-up of the grid, and ensure system safety.

[0055] in, It is a short-timescale power disturbance. yes The threshold power sampling value at time 1. It is a smooth component on a short time scale; It is a power perturbation on a medium time scale. It is a smooth component on a medium time scale; It is the ramp rate on a medium time scale. yes The mid-timescale smoothing component at time point. yes The smoothed component of the intermediate time scale at time.

[0056] Let the limits for power perturbations on short, medium, and long time scales be respectively... , , , the limit of the ramp rate in the medium time scale is , the calculation results need to meet the following constraints:

[0057] .

[0058] Further, the regional energy storage station includes an energy storage unit, a monitoring module, a control module, and a communication interface. The energy storage unit is composed of a battery or other energy storage device, used for storing and releasing energy; the monitoring module monitors the gateway power, frequency deviation, and power grid operating state in real time; the control module is responsible for the autonomous regulation and control of the energy storage station, including fast response in the short time scale and optimal scheduling in the medium and long time scale; the communication interface is used for data interaction with the distribution network control center and the main power grid. These components work together to achieve power fluctuation suppression and frequency stability control by dynamically adjusting the charging and discharging behavior of the energy storage unit.

[0059] The short time scale refers to a fixed amplitude step load disturbance; the medium and long time scale refers to actual existing, for example, wind power and photovoltaic power generation, and irregular random step load disturbance.

[0060] In the short time scale, the energy storage station responds quickly to power disturbances by monitoring the gateway power in real time, and eliminates power fluctuations through dynamic regulation of the energy storage unit. The monitoring module of the energy storage station collects gateway power data and compares it with the target power to calculate the disturbance; according to the disturbance, the control module dynamically calculates the required power adjustment amount and instructs the energy storage unit to charge and discharge to reduce the impact of power fluctuations on the power grid. The regulation and control strategy adopts a closed-loop control mode, which continuously corrects the power adjustment behavior to ensure stable gateway power. At the same time, to cope with the frequency change of the main power grid, the energy storage station participates in primary frequency regulation to stabilize the power grid frequency by adjusting the output power. The monitoring module collects the main power grid frequency in real time and compares it with the target frequency to calculate the frequency deviation. The control module calculates the frequency regulation power of the energy storage station according to the frequency deviation and the response coefficient, adjusts the output power of the energy storage unit, and ensures the stability of the power grid frequency. The energy storage station uses a response time optimization algorithm to realize a fast frequency regulation process and ensure that the energy storage device can quickly respond to frequency disturbances and stabilize the power grid operation.

[0061] In the medium and long time scale, the distribution network control center optimizes the allocation of power resources through economic dispatching according to the index parameters set by the main power grid, adjusts the proportion of sources and loads in the network, and optimizes the operation state of sources, loads, and energy storage stations in real time to achieve effective consumption that takes into account both economy and safety. The distribution network control center optimizes the operation state of the energy storage unit, distributed energy, and load in combination with the index parameters issued by the main power grid to achieve a balance between economy and safety. The control center dynamically adjusts the source-load ratio and the charging and discharging strategy of the energy storage station to achieve efficient consumption of power disturbances.

[0062] Furthermore, energy storage stations and distribution network control centers achieve coordinated operation through the following optimization objectives:

[0063] Ensure grid frequency stability over a short timescale;

[0064] Over medium to long time scales, load fluctuations are balanced through economic dispatch.

[0065] To minimize disturbances to the power grid's outlet power and ensure stable grid operation.

[0066] Furthermore, the constraints include the following: the voltage at each node meets the set range, i.e. The active and reactive power of distributed energy and energy storage devices are kept within the set range of the equipment, that is:

[0067]

[0068]

[0069]

[0070]

[0071]

[0072]

[0073] in, and These are the active and reactive power of the photovoltaic power generation unit; and It refers to the active power and reactive power of the wind power unit; and These are the active and reactive power of the electric vehicle charging / discharging unit; min / max are the minimum and maximum values ​​set by the equipment, reflecting the operating boundaries.

[0074] The capacity / power operating range of the energy storage unit meets the minimum and maximum limits, and the constraints include, but are not limited to, voltage limit constraints, static safety constraints, and distributed energy power range constraints.

[0075] Furthermore, energy storage stations can optimize their resource allocation strategies based on the real-time operating status of the power grid, and provide support for power grid operation by dynamically predicting changes in the state of the energy storage system.

[0076] Furthermore, the energy storage unit includes power-type energy storage and energy-type energy storage, employing a hybrid configuration and dynamic response mechanism. Its core function is for lithium batteries (energy-type) to handle medium- to long-term energy dispatch, while supercapacitors / flywheels (power-type) provide millisecond-level power support. On a medium- to long-term timescale, power-type energy storage rapidly responds to disturbances and alleviates grid pressure, while simultaneously transferring surplus energy demand to energy-type energy storage. On a short-term timescale, this avoids high-rate charging and discharging of the batteries, extending their lifespan. (See below for reference.) Figure 2 The specific process is introduced through a simulation case.

[0077] 1.1 Disturbance Detection

[0078] Real-time monitoring of wind power output If the power is detected to drop by more than a preset threshold (80%) in a short period of time, a dynamic response mechanism will be triggered.

[0079] 1.2 Hybrid configuration of supercapacitor instantaneous compensation and lithium battery continuous power supply

[0080] Simultaneously activate the supercapacitor module and the lithium battery module to prepare for power compensation.

[0081] First-stage compensation: Supercapacitor instantaneous response (0-2 seconds): Within 0 to 2 seconds after detecting a sudden drop in power, the supercapacitor is controlled to discharge instantaneously at a power of 6MW.

[0082] ;

[0083] in, yes The discharge power of the supercapacitor at all times. It is the maximum discharge power of the supercapacitor. yes The power compensation requirement at any given time.

[0084] Objective: To suppress the initial frequency drop and control the frequency deviation within a certain range. Within the range.

[0085] Second-stage compensation: The lithium battery provides continuous support (2-10 seconds). From 2 seconds to 10 seconds later, the lithium battery takes over from the supercapacitor and discharges continuously at a power of 9MW.

[0086] ;

[0087] in, yes The discharge power of the lithium battery at all times. This is the maximum discharge power of a lithium battery. yes Power compensation requirement at any given time yes The discharge power of the supercapacitor at any given time.

[0088] Objective: To maintain frequency stability, prevent secondary frequency drops, and ensure that the system frequency continuously meets the requirement of ≤0.1Hz.

[0089] 1.3 Frequency Stability Determination

[0090] If the frequency deviation is ≤0.1Hz, the dynamic response is considered complete; otherwise, step 1.2 continues iteratively until the frequency is restored. This simulation case illustrates that the present invention achieves coordinated operation of energy storage units, ensuring grid frequency stability and extending the lifespan of energy storage devices.

[0091] Furthermore, on a short timescale, the monitoring module of the energy storage station collects the threshold power data and compares it with the target power to calculate the power disturbance. The regional energy storage station employs multi-timescale autonomous control. On a short timescale, it instructs the energy storage units of the regional energy storage station to perform charging and discharging operations based on the power adjustment amount, using a proportional-integral control strategy to achieve power smoothing.

[0092]

[0093] in, yes Energy storage charging and discharging power at any time, It is the target power. That is the actual power. This is the proportional coefficient (for rapid response). The integral coefficient (to eliminate steady-state error). It is the power adjustment amount;

[0094] The proportional-integral control strategy of a regional energy storage station is verified through a specific simulation case.

[0095] Short-time power disturbance response simulation experiment: A load fluctuation scenario was set in the IEEE 33-bus system, with a sudden load increase of 15% in a short period of time. The energy storage station adopted the above control strategy, and the results showed that: the power fluctuation amplitude at the control point was reduced from ±12% to ±3%; the system frequency recovery time was shortened to 2.8 seconds (national standard requires ≤5 seconds); and the SOC fluctuation of the energy storage unit was controlled within ±5%. These results demonstrate that the proportional-integral control strategy of this invention can quickly respond to power disturbances, significantly reduce grid frequency and power fluctuations, and improve system stability.

[0096] Furthermore, regional energy storage stations participate in the primary frequency regulation of the main power grid based on pre-set response characteristics. The primary frequency regulation strategy is as follows:

[0097]

[0098] in It is the frequency modulation power adjustment amount. The frequency modulation factor (MW / Hz) is used. This represents the frequency deviation.

[0099] The following simulation case will be used to verify the primary frequency regulation strategy of a regional energy storage station.

[0100] Primary frequency regulation control simulation experiment: A frequency drop of 0.2 Hz was set in the simulation system, and the energy storage station regulated the frequency according to the above strategy. The results show that the system frequency recovered to the rated value ±0.05 Hz within 3 seconds; the peak output power of the energy storage unit was controlled at 8 MW to avoid overload; and the grid frequency stability index improved by 27%. The above results demonstrate that the primary frequency regulation strategy of this invention ensures the rapid recovery of the main grid frequency and improves the safety and stability of the grid.

[0101] In some optional embodiments, economic dispatch optimization is employed on medium- to long-term timescales, using the IEEE 33-node + air conditioning virtual energy storage model (MATLAB / YALMIP), with the objective function:

[0102]

[0103] in, It is a time series. It is the total scheduling cycle. It is the power grid purchase cost coefficient. yes Power purchased by the power grid at any given time It is the energy storage operating cost coefficient. yes Energy storage charging and discharging power at any time, It is the voltage deviation penalty factor. yes Voltage deviation at any given time.

[0104] The following simulation case will be used to verify the economic dispatch optimization strategy of regional energy storage stations.

[0105] Economic dispatch optimization simulation experiment: A daily load curve was set in the IEEE 33-bus system, and the Yalmip optimizer was used for dispatching. The results show that the daily operating cost was reduced by 31.5%; the number of voltage over-limit nodes was reduced from 9 to 2; and the lifespan of energy storage units was increased by 23% (by avoiding high-rate charging and discharging). The above results demonstrate that the economic dispatch optimization strategy of this invention achieves a balance between economy and safety, reduces operating costs, and improves grid operating efficiency.

[0106] In some optional embodiments, on medium to long time scales, regional energy storage stations optimize the energy, load, and operating status of the distribution network control center and regional energy storage stations based on the main power grid's index parameters. The following is a specific simulation case to verify this.

[0107] Optimized operation simulation experiment: In the IEEE 33-node system, a typical daily load curve and photovoltaic output curve were set, the regional energy storage station capacity was 20MWh, and the maximum charging and discharging power was 10MW. The indicators and parameters issued by the main grid included the active / reactive power of photovoltaic and wind power. , , , (Energy side) Electric vehicle charging, discharging, and power , (Load side) and energy storage unit charging and discharging power (Regional Energy Storage Station). Results show that: on the energy side, the utilization rate of photovoltaic and wind power output increased to 95%, and the curtailment rate of solar and wind power decreased; on the load side, the charging and discharging power of electric vehicles achieved peak shaving and valley filling during peak and valley periods, and the node voltage remained within the range of 960–1040V; the energy storage charging and discharging power operated within ±10MW and effectively extended its lifespan. These results demonstrate that the present invention can achieve synergistic interaction between source, load, and storage over medium- and long-term timescales, which not only improves the capacity for renewable energy absorption but also reduces system operating costs and ensures the safe and stable operation of the power grid.

[0108] Furthermore, in order to cope with power disturbances on short and medium-to-long time scales, both the power grid and energy storage units need to meet the following constraints: the voltage of each node must meet the set range; the active and reactive power of distributed energy and energy storage devices must be kept within the set range of the devices; and the capacity range of energy storage units must meet the minimum and maximum limits.

[0109]

[0110]

[0111]

[0112]

[0113]

[0114]

[0115]

[0116]

[0117]

[0118]

[0119]

[0120] in The voltage at each node; It is a short-timescale power disturbance; It is a power perturbation on a medium time scale; It is the ramp rate on a medium time scale; , , These are the limits for power disturbances on short, medium, and long time scales, respectively. and These are the active and reactive power of the photovoltaic power generation unit; and It refers to the active power and reactive power of the wind power unit; and It refers to the active and reactive power of the electric vehicle charging / discharging unit; and It is the minimum / maximum state of charge allowed for the energy storage unit; These are the minimum and maximum values ​​set by the equipment, reflecting the operating boundaries.

[0121] Furthermore, regional energy storage stations and distribution network control centers generate operation reports to evaluate operational effectiveness and feed them back to the main grid. These reports detail the grid's operating status, voltage constraint compliance, and power adjustment results, and provide optimization suggestions for problematic nodes and lines, displaying operational data graphically and in adjacency matrix format. Based on the evaluation results, control strategies are continuously optimized to further improve system performance.

[0122] Example 2

[0123] The present invention discloses a regional energy storage and distribution network coordinated control system, applied to a distribution network control center. The distribution network control center is connected to the main power grid, including the main power grid and the distribution network control center. The distribution network control center includes a regional energy storage station. The system includes:

[0124] In response to short-term power disturbances, the regional energy storage station collects threshold power data and calculates the power disturbance based on the threshold power data. It then calculates the power adjustment based on the power disturbance and instructs the energy storage unit to perform charging and discharging operations based on the power adjustment.

[0125] In response to power disturbances on medium to long time scales, the distribution network control center implements an economic dispatch strategy with the goal of reducing electricity purchase and operating costs, and / or optimizes the operating status of energy, load and regional energy storage stations in the distribution network control center based on the index parameters of the main power grid.

[0126] Furthermore, the regional energy storage station participates in the primary frequency regulation of the main power grid based on pre-set response characteristics.

[0127] Furthermore, the operation report generated by the distribution network control center is fed back to the main power grid, and the operation report is used to evaluate the operation effect.

[0128] Furthermore, the main power grid and the distribution network control center transmit frequency signals, set safety constraints, and transmit operation reports through the main power grid interface.

[0129] Furthermore, for power disturbances on medium to long time scales, the objective function of the economic dispatch strategy is:

[0130]

[0131] in, It is a time series. It is the total scheduling cycle. It is the power grid purchase cost coefficient. yes Power purchased by the power grid at any given time It is the energy storage operating cost coefficient. yes Energy storage charging and discharging power at any time, It is the voltage deviation penalty factor. yes Voltage deviation at any given time;

[0132] The constraints of the objective function include at least one of the following: voltage limit constraints, static security constraints, and distributed energy power range constraints.

[0133] Furthermore, based on the power adjustment amount, the energy storage units of the regional energy storage station perform charging and discharging operations, employing a proportional-integral control strategy:

[0134]

[0135] in, yes Energy storage charging and discharging power at any time, It is the target power. That is the actual power. It is a proportionality coefficient. It is the integral coefficient; It is the power adjustment amount;

[0136] The constraints for implementing the proportional-integral control strategy include at least one of the following: voltage limit constraints, static safety constraints, and distributed energy power range constraints.

[0137] Furthermore, the energy storage unit includes power-type energy storage and energy-type energy storage;

[0138] Under the control of preset commands, the energy storage unit adopts a dynamic response mechanism to respond to power disturbances on short-term and medium-to-long-term time scales. For power disturbances on medium-to-long-term time scales, the power-type energy storage unit responds to the disturbance according to the preset commands and transfers the remaining energy demand to the energy-type energy storage unit. The energy-type energy storage unit adjusts and compensates according to the remaining energy demand, and retains a certain amount of adjustable capacity margin for the power-type energy storage unit to prevent the problem of having no adjustment resources available when facing the next large-scale disturbance. For power disturbances on short-term time scales, the energy-type energy storage unit responds to the power disturbances on short-term time scales according to the preset commands.

[0139] Example 3

[0140] The computer-readable storage medium of the present invention stores a computer program, which, when executed by a processor, implements the regional energy storage and distribution network coordinated control method.

[0141] The computer-readable storage medium may include RAM, ROM, EEPROM, CD-ROM or other optical disc storage devices, magnetic disk storage devices or other magnetic storage devices, flash memory or any other medium that can be used to store program code in the form of instructions or data structures and is accessible by a computer.

[0142] The processor is used to execute a computer program stored in memory to implement the various steps in the methods described in the above embodiments.

[0143] Example 4

[0144] The computer program product of the present invention includes a computer program that, when executed by a processor, implements the regional energy storage and distribution network coordinated control method.

[0145] Example 5

[0146] The electronic device of the present invention includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the computer program is loaded into the processor, it implements the regional energy storage and distribution network coordinated control method.

Claims

1. A method for coordinated control of regional energy storage and distribution network, applied to a distribution network control center, wherein the distribution network control center is connected to the main power grid, and the distribution network control center includes a regional energy storage station, characterized in that, The method includes the following steps: For short-term power disturbances, the system collects threshold power data and calculates the power disturbance based on the threshold power data. It then calculates the power adjustment based on the power disturbance and instructs the energy storage units of the regional energy storage station to perform charging and discharging operations based on the power adjustment. In response to power disturbances on medium to long time scales, the distribution network control center implements an economic dispatch strategy with the goal of reducing electricity purchase and operating costs, and / or optimizes the operating status of energy, load and regional energy storage stations in the distribution network control center based on the index parameters of the main power grid.

2. The regional energy storage and distribution network coordinated control method according to claim 1, characterized in that, The regional energy storage station participates in the primary frequency regulation of the main power grid based on pre-set response characteristics.

3. The regional energy storage and distribution network coordinated control method according to claim 1, characterized in that, The operation report generated by the distribution network control center is fed back to the main power grid, and the operation report is used to evaluate the operation effect.

4. The regional energy storage and distribution network coordinated control method according to claim 3, characterized in that, The main power grid and the distribution network control center communicate via the main power grid interface to transmit frequency signals, set safety constraints, and transmit operation reports.

5. The regional energy storage and distribution network coordinated control method according to claim 1, characterized in that, For power disturbances on medium to long time scales, the objective function of the economic dispatch strategy is: ； in, It is a time series. It is the total scheduling cycle. It is the power grid purchase cost coefficient. yes Power purchased by the power grid at any given time It is the energy storage operating cost coefficient. yes Energy storage charging and discharging power at any time It is the voltage deviation penalty factor. yes Voltage deviation at any given time; The constraints of the objective function include at least one of the following: voltage limit constraints, static security constraints, and distributed energy power range constraints.

6. The regional energy storage and distribution network coordinated control method according to claim 1, characterized in that, The energy storage units in the regional energy storage station are charged and discharged according to the power adjustment indication, and a proportional-integral control strategy is adopted: ； in, yes Energy storage charging and discharging power at any time It is the target power. That is the actual power. It is a proportionality coefficient. It is the integral coefficient; It is the power adjustment amount; The constraints for implementing the proportional-integral control strategy include at least one of the following: voltage limit constraints, static safety constraints, and distributed energy power range constraints.

7. The regional energy storage and distribution network coordinated control method according to claim 1, characterized in that, The energy storage unit includes power-type energy storage and energy-type energy storage; Under the control of preset commands, the energy storage unit adopts a dynamic response mechanism to respond to power disturbances on short-term and medium-to-long-term time scales. For power disturbances on medium-to-long-term time scales, the power-type energy storage unit responds to the disturbance according to the preset commands and transfers the remaining energy demand to the energy-type energy storage unit, which then adjusts and compensates according to the remaining energy demand. For power disturbances on short-term time scales, the energy-type energy storage unit responds to the power disturbances on short-term time scales according to the preset commands.

8. A regional energy storage and distribution network coordinated control system, applied to a distribution network control center, wherein the distribution network control center is connected to the main power grid and includes the main power grid and the distribution network control center, and the distribution network control center includes a regional energy storage station, characterized in that, The system includes: For short-term power disturbances, the system collects threshold power data and calculates the power disturbance based on the threshold power data. It then calculates the power adjustment based on the power disturbance and instructs the energy storage units of the regional energy storage station to perform charging and discharging operations based on the power adjustment. For power disturbances on medium and long time scales, an economic dispatch strategy is implemented with the goal of reducing power purchase and operating costs, and / or the operating status of energy, load and regional energy storage stations in the distribution network control center is optimized based on the index parameters of the main power grid.

9. The regional energy storage and distribution network coordinated control system according to claim 8, characterized in that, The regional energy storage station participates in the primary frequency regulation of the main power grid based on pre-set response characteristics.

10. The regional energy storage and distribution network coordinated control system according to claim 8, characterized in that, The operation report generated by the distribution network control center is fed back to the main power grid, and the operation report is used to evaluate the operation effect.

11. The regional energy storage and distribution network coordinated control system according to claim 10, characterized in that, The main power grid and the distribution network control center communicate via the main power grid interface to transmit frequency signals, set safety constraints, and transmit operation reports.

12. The regional energy storage and distribution network coordinated control system according to claim 8, characterized in that, For power disturbances on medium to long time scales, the objective function of the economic dispatch strategy is: ； in, It is a time series. It is the total scheduling cycle. It is the power grid purchase cost coefficient. yes Power purchased by the power grid at any given time It is the energy storage operating cost coefficient. yes Energy storage charging and discharging power at any time It is the voltage deviation penalty factor. yes Voltage deviation at any given time; The constraints of the objective function include at least one of the following: voltage limit constraints, static security constraints, and distributed energy power range constraints.

13. The regional energy storage and distribution network coordinated control system according to claim 8, characterized in that, The energy storage units in the regional energy storage station are charged and discharged according to the power adjustment indication, and a proportional-integral control strategy is adopted: ； in, yes Energy storage charging and discharging power at any time It is the target power. That is the actual power. It is a proportionality coefficient. It is the integral coefficient; It is the power adjustment amount; The constraints for implementing the proportional-integral control strategy include at least one of the following: voltage limit constraints, static safety constraints, and distributed energy power range constraints.

14. The regional energy storage and distribution network coordinated control system according to claim 8, characterized in that, The energy storage unit includes power-type energy storage and energy-type energy storage; Under preset commands, the energy storage unit adopts a dynamic response mechanism to respond to power disturbances on short-term and medium-to-long-term time scales. For power disturbances on medium-to-long-term time scales, the power-type energy storage unit responds to the disturbance according to the preset commands and transfers the remaining energy demand to the energy-type energy storage unit, which then adjusts and compensates according to the remaining energy demand. For power disturbances on short-term time scales, the energy-type energy storage unit responds to the power disturbances on short-term time scales according to the preset commands.

15. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the regional energy storage and distribution network coordinated control method according to any one of claims 1-7.

16. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the regional energy storage and distribution network coordinated control method according to any one of claims 1-7.

17. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is loaded into the processor, it implements the regional energy storage and distribution network coordinated control method according to any one of claims 1-7.

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