Control system and method for cross-platform multiple configuration modes of energy storage system

Abstract

The present invention discloses a control system and method for a cross-platform multiple configuration mode of an energy storage system, and relates to the field of energy storage control technology. The control system comprises a data scheduling module, a data correction module, a load assessment module, a load analysis module, and a system scheduling module. The technical key points are as follows: by acquiring the energy storage information and power values ​​of each power generation platform before and after processing, the data correction module reprocesses the uploaded energy storage information to obtain a standard power comparison value that can judge whether the power value uploaded by the power generation platform is qualified or not, thereby determining the accuracy of the detection platform system, facilitating timely maintenance of the power generation platform and the system based on the power generation platform, and also reducing the control system's dependence on the platform system. Secondly, when generating the standard power comparison value, the environmental coefficient Eld under normal conditions is used to ensure that during the comparison process, the influence of the power generation environment on the power generation result is reduced.

Description

Technical Field

[0001] The present invention relates to the field of energy storage control technology, and in particular to a control system and method for a cross-platform and multiple configuration modes of an energy storage system. Background Art

[0002] With the rapid economic development of various countries, the global energy demand has increased significantly. The limited traditional energy will be difficult to meet the demand in the near future. In addition, the "carbon reduction" goals of various countries have been proposed, and the development and utilization of renewable energy has become more urgent. The ocean, which accounts for 71% of the earth's area, is a treasure trove of green energy. Ocean energy is considered to be one of the renewable energy sources with the largest reserves, mainly including wave energy, tidal energy, tidal energy, temperature difference energy in a narrow sense, and offshore wind power, marine biomass energy and offshore floating photovoltaics in a broad sense. Among them, due to different power generation methods and different discharge areas, the energy storage systems used are also different. This leads to scheduling problems for both intra-provincial and inter-provincial electricity consumption, and it is impossible to merge and summarize the energy storage systems.

[0003] At present, the existing Chinese patent publication number: CN117394412A discloses a dispatching control system and method for a power grid energy storage system. The technical solutions pointed out in the document include: establishing a monitoring and data acquisition system for real-time monitoring of the status and performance of the energy storage system; using the information collected by the data to analyze the deep discharge history of the energy storage system; based on the results of the deep discharge analysis, formulating a deep discharge management strategy, the strategy defines the maximum deep discharge level under different operating conditions; adjusting the operation of the battery according to the deep discharge strategy to ensure that the deep discharge management strategy is implemented; establishing a remote monitoring and optimization system to remotely operate and optimize the power grid energy storage system; although it can reduce the negative impact of deep discharge on the system according to the characteristics of the battery and energy storage technology, However, it cannot achieve collaboration between various power generation platforms, and it is aimed at controlling the charging and discharging of energy storage systems, but is not suitable for cross-platform energy storage systems; another Chinese patent with patent publication number: CN115986785A discloses a control system for a new energy storage system, including: a new energy power generation device, a new energy storage device and a control device; the new energy power generation device is used to generate electricity using renewable energy; the new energy storage device is used to store the electric energy generated by the new energy power generation device; the control device is used to control the new energy power generation device and the new energy storage device; the new energy power generation device and the new energy storage device are connected, and the control device is respectively connected to the new energy power generation device and the new energy storage device. However, it still failed to form a unified control, and there are problems of poor control effect and low control efficiency in the detection, processing and analysis of each power generation system.

[0004] However, during the implementation of the above technical solution, it was found that there were at least the following technical problems:

[0005] Combined with the above documents and prior art, different power generation systems have different data processing methods and power generation influencing factors. For example, wave power generation: an array float structure and a three-level energy conversion method based on an intermediate hydraulic energy storage link are used, and the accumulator pressure is used as the control signal. The factors affecting its power generation are mainly: wave amplitude, wave frequency and wave phase angle, etc.; similarly, for wind energy, solar energy, etc., the factors they are based on are also different, so it is impossible to make a unified accounting and processing. Even if a storage system that can comprehensively consider various factors and is suitable for different power generation systems is designed, due to the incompatibility of the old and new systems, large-scale debugging and updating are still required (prone to large-scale power outages). Secondly, the development of the integrated control system not only takes a lot of time and energy, but also takes up a very large storage space (because it needs to be compatible with different power generation influencing factors, that is, different control systems need to be used for different power generation influencing factors). In addition, if only the power values ​​uploaded by each platform system are processed, it will be impossible to control the power generation of each power generation platform. For this reason, we propose a control system and method for a cross-platform multi-configuration mode of an energy storage system. Summary of the invention

[0006] 1. Technical issues to be solved

[0007] In view of the deficiencies in the prior art, the present invention provides a control system and method for a cross-platform multiple configuration mode of an energy storage system. By acquiring the energy storage information and power values ​​of each power generation platform before and after processing, and then reprocessing the uploaded energy storage information by a data correction module, a standard power comparison value that can judge whether the power value uploaded by the power generation platform is qualified or not is obtained, thereby determining the accuracy of the detection platform system, thereby reducing the control system's dependence on the platform system, facilitating timely maintenance of the power generation platform and the system based on the power generation platform, and when generating the standard power comparison value, the environmental coefficient Eld under normal conditions is used to ensure that during the comparison process, the influence of the power generation environment on the power generation result is reduced. The method has good use prospects and solves the problems mentioned in the background technology.

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0010] A control system for energy storage systems in multiple configuration modes across platforms, the control system comprising:

[0011] The data scheduling module uses the existing industrial communication protocol to collect the energy storage information and power values ​​of each platform system before and after processing. The energy storage information includes the power generation power P of the power generation unit. fd , the output power P of the power generation unit fc 、Power load P fh , the power generation L of the power generation unit, the absorbed power P of the battery pack of the energy storage unit cxs ;

[0012] Among them, the data scheduling module includes a collection unit, a simulation unit, an environment monitoring unit and a transmission unit;

[0013] When the platform system is not in working state, the transmission unit is triggered to upload the energy storage information collected by the collection unit to the cloud, and the environmental monitoring unit is turned on to collect the environmental parameters when the energy storage information is generated;

[0014] When the platform system is in working state, trigger the collection unit to collect energy storage information of the platform system;

[0015] Under the condition of detecting the platform system, the collection unit and the simulation unit are triggered at the same time, the collection unit collects the energy storage information of the platform system, and the simulation unit simulates the energy storage information received by the platform system;

[0016] The data correction module retrieves and quantifies the index parameters in the energy storage information, builds the energy storage power calculation model, generates the standard power comparison value, and compares the absolute value of the difference between the standard power comparison value and the power value with the preset error threshold. The error threshold includes: upper threshold Git ↑ and lower threshold Git ↓ ;

[0017] When |Power value - Standard power comparison value |≥ upper limit threshold Git ↑ Or |Power value - standard power comparison value | ≤ lower limit value Git ↓ When the power generation warning is issued;

[0018] When the upper threshold Git ↑ >|Power value-standard power comparison value|>Lower limit value Git ↓ When , no response action is taken;

[0019] The load assessment module retrieves the energy storage information of the corresponding platform when the system issues a power generation warning, builds a data analysis model based on the assessment index Gtc under normal conditions, and generates the load forecast value Qevl of the corresponding platform system;

[0020] The load analysis module sorts the energy storage information from large to small according to its weight on power generation, and controls the simulation unit to simulate each energy storage information in the sorted order to generate load verification prediction values. Load verification prediction value The difference between the load forecast value Qevl and the preset standard threshold is compared;

[0021] When the difference is greater than the preset standard threshold, a maintenance instruction is issued and maintenance is performed in order of the magnitude of the difference exceeding the standard threshold.

[0022] The system dispatching module, when the system issues an early warning, calls up the backup system identical to the corresponding platform system, rebuilds the energy storage power calculation model, and generates the power value of the corresponding platform system.

[0023] Furthermore, the energy storage unit is an auxiliary power source for the power generation platform. In the grid-connected operation state, a constant power control method is adopted and the working mode of the energy storage unit is switched according to the difference between the generated power and the power demanded by the grid-side load;

[0024] When the power grid consisting of the power generation platform and the power load operates in an islanded form, the energy storage unit switches to constant voltage control mode to maintain the DC bus voltage stability.

[0025] Furthermore, the power load includes the load for the power generation unit, the user load and the DC bus unloading branch, wherein the user load is divided into primary load and secondary load which is allowed to be disconnected first according to the load importance level;

[0026] When the power generation unit is in island operation and the energy storage unit reaches an over-discharge state, the secondary load is disconnected according to the load priority level and the excess power of the system is stored in the battery pack;

[0027] When the energy storage unit reaches the overcharge state, the DC bus unloading branch is put into use to consume the system redundant power;

[0028] The system power conduction formula under normal power generation conditions is:

[0029] P fd >P fc =P cxs +P fh

[0030] In the formula, when P cxs When P > 0, the battery pack is in charging state. cxs When <0, the battery pack is in discharge state.

[0031] Furthermore, the index parameters of the energy storage information are quantified to obtain the power generation index Fd; the calculation method of the power generation index Fd is as follows:

[0032]

[0033] Where α1, α2, α3, and α4 are the output power P of the power generation unit respectively. fc , the absorbed power P of the energy storage unit battery pack cxs , Power load P fh And the power generation unit P fd The preset proportional coefficient, and α4>α1>α3>α2>0, G1 is the constant correction coefficient, P cxs >0, when P cxs When ≤0, it is recorded as 0. The calculation of the preset proportional coefficients α1, α2, α3, and α4 is based on historical data. The historical data mentioned here refers to the energy storage information corresponding to the previous month.

[0034] Compare the power generation index Fd with the power generation L of the power generation unit;

[0035] If the power generation index Fd is lower than or equal to the power generation L of the power generation unit, the corresponding platform system is marked as level one, and the energy storage information of the platform system is recorded;

[0036] If the power generation index Fd is higher than the power generation L of the power generation unit, the corresponding platform system is marked as level 2, and the power generation unit controlled by the platform system and the environmental parameters of the power generation unit are retrieved.

[0037] Furthermore, before generating the standard power comparison value, it is necessary to eliminate the interference of environmental factors on data accuracy. To this end, it is necessary to first obtain the generated environmental coefficient Eld. Since different power generation units rely on different environmental parameters, an exhaustive method is required here. The calculation can be performed according to the required environmental parameters. The environmental acquisition unit is called to collect the environmental parameters when the energy storage information is generated. The environmental coefficient Eld under normal conditions is generated by the environmental simulation software. The formula for generating the environmental coefficient Eld is as follows:

[0038]

[0039] In the formula, Z i is the i-th environmental parameter, θ i is the proportional coefficient corresponding to the i-th environmental parameter, the number of items affecting the power generation environmental parameters is n, and n = a positive integer;

[0040] Based on the environmental factor Eld under normal conditions, the calculation formula for generating the standard power comparison value is as follows:

[0041]

[0042] Wherein, δ is a preset proportional coefficient of the power generation L of the power generation unit, and δ>0, and G2 is a constant correction coefficient.

[0043] Furthermore, the power generation units are classified according to the power generation mode, and the environmental parameters in the same category are calculated using the calculation formula of the environmental coefficient Eld, and the environmental parameters in each category are greater than 4 items; the environmental simulation software can use the existing CALPUFF model system to simulate the transport, transformation and removal process of pollutants in the atmospheric environment when the three-dimensional flow field changes with time and space.

[0044] Furthermore, the energy storage information of the corresponding platform is retrieved, and the load prediction value Qevl of the corresponding platform system is generated according to the evaluation index Gtc under normal conditions;

[0045] The formula on which the evaluation index Gtc is based is as follows:

[0046]

[0047] Under the condition that the system issues an early warning, the evaluation index Gtc within the early warning duration T is obtained to generate the load forecast value Qevl of the corresponding platform system. The formula based on the load forecast value Qevl is as follows:

[0048]

[0049] Wherein, T is the duration of the system issuing power generation warning, T = positive integer.

[0050] Furthermore, the load analysis module analyzes the following process:

[0051] S101, arranging the energy storage information in descending order according to the weight of each energy storage information in the platform power generation;

[0052] S102, using a single variable form to control the simulation unit to simulate one type of data in each energy storage information in sequence;

[0053] Among them, the simulation unit simulates by adding preset values ​​on the basis of original data;

[0054] S103, replace the original data with the data after adding the preset value, and recalculate the load prediction value Qevl, and the obtained value is recorded as the load verification prediction value

[0055] S104: Load verification prediction value The difference between the load forecast value Qevl and the preset standard value is compared.

[0056] A control method for a cross-platform multiple configuration mode of an energy storage system includes the following steps:

[0057] Use the existing industrial communication protocol to collect energy storage information and power values ​​before and after processing on each platform system. The energy storage information includes the power generation power P of the power generation unit. fd , the output power P of the power generation unit fc 、Power load P fh , the power generation L of the power generation unit, the absorbed power P of the battery pack of the energy storage unit cxs ;

[0058] Among them, the data scheduling module includes a collection unit, a simulation unit, an environment monitoring unit and a transmission unit;

[0059] When the platform system is not in working state, the transmission unit is triggered to upload the energy storage information collected by the collection unit to the cloud, and the environmental monitoring unit is turned on to collect the environmental parameters when the energy storage information is generated;

[0060] When the platform system is in working state, trigger the collection unit to collect energy storage information of the platform system;

[0061] Under the condition of detecting the platform system, the collection unit and the simulation unit are triggered at the same time, the collection unit collects the energy storage information of the platform system, and the simulation unit simulates the energy storage information received by the platform system;

[0062] Retrieve and quantify the index parameters in the energy storage information, build an energy storage power calculation model, generate a standard power comparison value, and compare the standard power comparison value with the absolute value of the power value uploaded by the platform and the preset error threshold. The error threshold includes: upper threshold Git ↑ and lower threshold Git ↓ ;

[0063] When |Power value - Standard power comparison value |≥ upper limit threshold Git ↑ Or |Power value - standard power comparison value | ≤ lower limit value Git ↓ When the upper threshold Git ↑ >|Power value-standard power comparison value|>Lower limit value Git ↓ When , no response action is taken;

[0064] When the system issues an early warning, the energy storage information of the corresponding platform is retrieved, and a data analysis model is built based on the evaluation index Gtc under normal conditions to generate the load forecast value Qevl of the corresponding platform system;

[0065] Sort the energy storage information from large to small according to their weights, and control the simulation unit to simulate the energy storage information in the sorted order to generate load verification prediction values. Load verification prediction value Compare with the load forecast value Qevl;

[0066] When the difference is greater than the preset standard threshold, a maintenance instruction is issued and maintenance is performed in order of the magnitude of the difference exceeding the standard threshold.

[0067] (III) Beneficial effects

[0068] 1. The present invention obtains the energy storage information and power values ​​of each power generation platform before and after processing, and then the data correction module reprocesses the uploaded energy storage information to obtain a standard power comparison value that can judge whether the power value uploaded by the power generation platform is qualified or not, thereby determining the accuracy of the detection platform system, facilitating timely maintenance of the power generation platform and the system based on the power generation platform. At the same time, since this system is built on the power generation platform system and the two are independent of each other, it can also reduce the control system's dependence on the platform system. Secondly, when generating the standard power comparison value, the environmental coefficient Eld under normal conditions is used to ensure that during the comparison process, the influence of the power generation environment on the power generation results is reduced.

[0069] 2. The present invention obtains the power generation index Fd of the corresponding power generation platform through comprehensive calculation. On the one hand, it can clarify the power generation standard of the corresponding power generation platform and reflect the power generation capacity of the corresponding power generation platform; on the other hand, it can be compared with the power generation uploaded by the power generation platform to ensure that the power generation of the power generation platform meets the standards. At the same time, combined with the environmental coefficient Eld generated by the environmental parameters of the power generation unit, the cause of the power generation error can be comprehensively understood, which is convenient for the subsequent maintenance work and ensures the sustainable operation and adjustment of the entire power generation system.

[0070] 3. The present invention generates an evaluation index Gtc under normal conditions based on the energy storage information uploaded by each platform, thereby predicting the load bearing capacity of each platform to ensure that the power generation platform will not be overloaded or underloaded due to the aging of the power generation platform hardware, providing a basis for fully and efficiently utilizing the existing power generation platform; in addition, based on the existing power generation platform system, the numerical value simulated by the simulation unit is regenerated as a load verification prediction value Then the load verification prediction value The difference between the load prediction value Qevl and the preset standard threshold is compared to determine the main factors affecting the load and the degree of abnormality of each factor, providing maintenance direction for subsequent maintenance, thereby ensuring that the system can operate efficiently and orderly. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0072] Figure 1A system block diagram of a control system for a cross-platform and multiple configuration modes of an energy storage system according to the present invention;

[0073] Figure 2 The present invention is a flowchart of a control method for a cross-platform and multiple configuration modes of an energy storage system. DETAILED DESCRIPTION

[0074] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0075] The embodiment of the present application solves the problems of incompatibility between platform systems and inability to uniformly control existing platform systems in the prior art by providing a control system and method for cross-platform multiple configuration modes of an energy storage system. The energy storage information and power values ​​of each power generation platform before and after processing are obtained, and the uploaded energy storage information is reprocessed by a data correction module to obtain a standard power comparison value that can judge whether the power value uploaded by the power generation platform is qualified or not. The accuracy of the detection platform system is determined thereby reducing the dependence of the control system on the platform system, facilitating timely maintenance of the power generation platform and the system on which the power generation platform is based. In addition, when generating the standard power comparison value, the environmental coefficient Eld under normal conditions is used to ensure that the influence of the power generation environment on the power generation result is reduced during the comparison process.

[0076] Example 1: Reference Figure 1 As shown, in view of the problems existing in the prior art, the present invention provides a control system for a cross-platform and multiple configuration modes of an energy storage system, and the control system mainly includes:

[0077] 1. Data scheduling of the platform system;

[0078] The existing industrial communication protocol is used to interconnect with various platform systems. In order to facilitate the identification of the reliability of the data uploaded by the platform system, in addition to obtaining the power value after processing by the platform system, all energy storage information received before processing by the platform system must also be obtained.

[0079] The data dispatch of the platform system is mainly divided into the collection unit, simulation unit, environmental monitoring unit and transmission unit. The corresponding unit is started according to the situation of the platform system. The situation is as follows:

[0080] (1) When the platform system is in a non-working state, the transmission unit is triggered to upload the energy storage information collected by the collection unit to the cloud, and the environmental monitoring unit is turned on to collect the environmental parameters when the energy storage information is generated;

[0081] (2) When the platform system is in working state, trigger the collection unit to collect energy storage information of the platform system;

[0082] (3) Under the condition of detecting the platform system, the collection unit and the simulation unit are triggered simultaneously, the collection unit collects the energy storage information of the platform system, and the simulation unit simulates the energy storage information received by the platform system.

[0083] The simulation method adopted by the simulation unit, for example, the initial value of the energy storage information received by the platform system is: P fc =D, after calculation, the load forecast value Qevl is obtained; an additional value F is added to the original initial value through the simulation unit. At this time, P fc =D+F, after calculation, the load verification prediction value is obtained At this time, compare the two predicted values ​​obtained before and after the value change, that is, | load prediction value Qevl - load verification prediction value |Is it greater than the preset standard threshold?

[0084] Commonly used energy storage information includes the power generation unit P fd , the output power P of the power generation unit fc 、Power load P fh , the power generation L of the power generation unit, the absorbed power P of the battery pack of the energy storage unit cxs (You can also use the output power of the energy storage unit battery pack), regardless of the type of power generation unit. For example, for common photovoltaic power generation, the power generation unit is the photovoltaic panel, and you only need to obtain the power generation power P of the photovoltaic panel. fd 、The output power P of the photovoltaic panel fc 、Power load P fh (including power loss during power transmission), power generation L of the photovoltaic panel, absorption power or output power P of the battery bank cxs Similarly, the energy storage information that needs to be obtained has nothing to do with the type of power generation unit. Take photovoltaic power generation as an example.

[0085] 1.1 Photovoltaic power generation unit

[0086] The photovoltaic power generation unit is the secondary power source of the power generation platform. The output of the photovoltaic array is boosted by a three-phase staggered parallel Boost converter and collected on the DC bus. A dual-mode control method based on maximum power tracking (MPPT) control mode and constant voltage control is adopted. Under normal working conditions, the MPPT control method is used to maximize the power generation efficiency and reduce the burden on the energy storage unit. In addition, when the energy storage unit is overcharged or over-discharged and needs to be disconnected from the DC bus, the photovoltaic power generation unit switches to the constant voltage control mode to achieve voltage stabilization control of the DC bus.

[0087] 1.2 Energy Storage Unit

[0088] As an auxiliary power source for the power generation platform, the energy storage unit adopts a constant power control method in the grid-connected operation state and switches the working mode of the energy storage unit according to the difference between the generated power and the power demand of the grid-side load (the working mode adopted can be pre-set, for example, multiple intervals are set, and when the difference is in a certain interval, the working mode of the corresponding interval is turned on) to achieve the purpose of peak absorption and valley filling; in addition, when the island microgrid composed of the power generation platform and the island load operates in an island form, the energy storage unit switches to a constant voltage control mode to maintain the stability of the DC bus voltage.

[0089] 1.3 Power load

[0090] The power load includes the load of the power generation unit, the user load and the DC bus unloading branch. The user load is divided into primary load and secondary load that is allowed to be disconnected first according to the load importance level. In order to ensure the life of the battery and avoid overload operation, when the power generation unit is in an island operation state and the energy storage unit reaches an over-discharge state, the secondary load is disconnected according to the load priority level and the excess power of the system is stored in the battery pack. When the energy storage unit reaches an overcharge state, the DC bus unloading branch is put into use to consume the system redundant power, thereby "depressurizing" the energy storage unit.

[0091] The system power conduction formula under normal power generation conditions is:

[0092] P fd >P fc =P cxs +P fh

[0093] In the formula, when P cxs When P > 0, the battery pack is in charging state. cxs When <0, the battery pack is in a discharge state; considering the power generation power P of the power generation unit fd During the power generation process, there will be mobile power loss and the service life of the power generation unit (overload is a common factor that reduces the service life of the power generation unit). It is necessary to control the output power P of the power generation unit. fcLess than the power generation unit P fd .

[0094] 1.4 Summary

[0095] The constant power charging and discharging control strategy adopted by the energy storage unit can effectively reduce the frequent power exchange between the island microgrid and the large power grid, thereby effectively reducing the power impact of the island microgrid on the large power grid when it is connected to the grid and improving the operation reliability of the system;

[0096] When the energy storage unit battery system reaches the overcharge or over-discharge state, the control modes of the wave power generation unit, photovoltaic power generation unit and energy storage unit are switched in real time according to the overcharge or over-discharge state. The coordinated control method of disconnecting the user load by over-discharge classification and inputting the DC bus unloading unit into the overcharge state can comprehensively realize the voltage stabilization control of the DC bus voltage, thus forming an island autonomous system based on DC bus voltage control.

[0097] 2. Data Correction

[0098] 2.1 Error Detection

[0099] The index parameters of energy storage information are quantified, and an energy storage power calculation model is built. The standard power comparison value is calculated through the model, and the absolute value of the difference between the standard power comparison value and the power value is compared with the preset error threshold. The error threshold is divided into an upper threshold and a lower threshold. ↑ and lower threshold Git ↓ ;

[0100] (1) When |power value - standard power comparison value |≥ upper limit threshold Git ↑ When the power generation warning is issued;

[0101] (2) When |power value - standard power comparison value|≤lower limit threshold Git ↓ When the power generation warning is issued;

[0102] (3) When the upper threshold Git ↑ >|Power value-standard power comparison value|>Lower limit value Git ↓ No response action is taken.

[0103] Among them, before generating the standard electricity comparison value, it is necessary to eliminate the interference of environmental factors on data accuracy. For this purpose, it is necessary to first obtain the generated environmental coefficient Eld. Since different power generation units rely on different environmental parameters, an exhaustive method is required here, and the calculation can be performed according to the required environmental parameters.

[0104] 2.2 Environmental interference

[0105] The environment acquisition unit is called to collect the environmental parameters when the energy storage information is generated, and the environmental coefficient Eld under normal conditions is generated by the environmental simulation software. The formula for generating the environmental coefficient Eld is as follows:

[0106]

[0107] In the formula, Z i is the i-th environmental parameter, θ i is the proportional coefficient corresponding to the i-th environmental parameter, the number of items affecting the power generation environmental parameters is n, and n = a positive integer.

[0108] For example, the main environmental parameters of a photovoltaic power generation unit are illumination time Z1, light intensity Z2, temperature Z3, humidity Z4, incident angle Z5, etc., and their corresponding proportional coefficients are θ1, θ2, θ3, θ4, and θ5, respectively. At this time, it is necessary to sum all the environmental parameters, that is, Then calculate the average, for example:

[0109]

[0110] Among them, the power generation units are classified according to the power generation method, and the environmental parameters in the same category are calculated using the calculation formula of the environmental coefficient Eld. The environmental parameters in each category are greater than 4 items, and are selected according to the weight ranking of the impact on power generation, and can be freely increased as needed; the environmental simulation software can use the existing CALPUFF model system to simulate the transport, transformation and removal process of pollutants in the atmospheric environment when the three-dimensional flow field changes with time and space.

[0111] 2.3. Generate quasi-electricity comparison value

[0112] Based on the environmental coefficient Eld under normal conditions, a standard power comparison value that can be compared with the power value is generated, where the power generation unit power P fd Remove power load P fh The power that the energy storage unit can store is obtained by calculating the loss of After removing the interference from the environment, the standard power comparison value can be obtained. The calculation formula for the standard power comparison value is as follows:

[0113]

[0114] Wherein, δ is a preset proportional coefficient of the power generation L of the power generation unit, and δ>0, and G2 is a constant correction coefficient.

[0115] 3. Power load forecast

[0116] 3.1. Electricity load assessment

[0117] Retrieve the energy storage information that needs to be calculated, and then build a data analysis model based on the evaluation index Gtc under normal conditions to generate the load forecast value Qevl of the corresponding platform system, which is only enabled when the power generation platform system issues a power generation warning;

[0118] The formula on which the evaluation index Gtc is based is as follows:

[0119]

[0120] Where α1, α2, α3, and α4 are the output power P of the power generation unit respectively. fc , the absorbed power P of the energy storage unit battery pack cxs , Power load P fh And the power generation unit P fd The preset proportional coefficient is , and α4>α1>α3>α2>0.

[0121] Under the condition that the system issues an early warning, the evaluation index Gtc within the early warning duration T is obtained to generate the load forecast value Qevl of the corresponding platform system. The formula based on the load forecast value Qevl is as follows:

[0122]

[0123] In the formula, T is the duration of the system's power generation warning, and T = a positive integer. The power load level of each power generation platform when the warning is issued is obtained, and the operating load of each power generation platform is determined, that is, the power load is adjusted to avoid long-term overload.

[0124] In addition, the calculation of the preset proportional coefficients α1, α2, α3, and α4 is based on historical data. The historical data mentioned here is the energy storage information corresponding to the previous month, and the energy storage information is the power generation power P of the department's power generation unit. fd , the output power P of the power generation unit fc , Power load P fh And the absorbed power P of the energy storage unit battery pack cxs .

[0125] For example, under normal conditions, P fc The average, maximum, and minimum values ​​of the previous month are recorded as maxP fc 、minP fc , Among them, X1 is denoted as P fc The first ratio, similarly, P cxs The first ratio is Y1, P fh The first ratio is Z1, P fd The first proportion number is Q1;

[0126] The second ratio is obtained according to the proportion of each power in the overall power. Among them, X2 is denoted as P fc The second ratio, similarly, P cxs The second ratio is Y2, P fh The second ratio is Z2, P fd The second proportion number is Q2;

[0127]

[0128] The specific process of building a data analysis model is as follows:

[0129] S101. Based on geographic information and spatial parameters, use power system analysis software to perform topological analysis of power generation platforms;

[0130] S102, testing power generation parameters on each power generation platform, including the output power P of the power generation unit fc 、Power load P fh And the absorbed power P of the energy storage unit battery pack cxs ;

[0131] S103, using an empirical formula method to model the law of changes in power generation parameters with frequency;

[0132] S104, using a mathematical modeling method to calculate the output power P of each power generation unit based on the obtained linear parameters of each power generation unit and the power generation parameters considered after the frequency influence factor fc 、Power load P fh And the absorbed power P of the energy storage unit battery pack cxs Perform parameter model fitting;

[0133] S105, verifying the constructed parameter model by comparing it with the actual measurement data. If the deviation value exceeds the preset value, refitting the model until the deviation value does not exceed the preset value.

[0134] 3.2 Power load analysis

[0135] The analysis process of the load analysis module is as follows:

[0136] S101, arranging the energy storage information in descending order according to the weight of each energy storage information in the platform power generation;

[0137] S102, using a single variable form to control the simulation unit to simulate one type of data in each energy storage information in sequence;

[0138] Among them, the simulation unit simulates by adding preset values ​​on the basis of original data;

[0139] S103, replace the original data with the data after adding the preset value, and recalculate the load prediction value Qevl, and the obtained value is recorded as the load verification prediction value

[0140] S104: Load verification prediction value The difference between the load forecast value Qevl and the preset standard value is compared;

[0141] When the difference is greater than the preset standard threshold, a maintenance instruction is issued, and maintenance is carried out in order of the size of the difference exceeding the standard threshold, that is, | load prediction value Qevl - load verification prediction value |>Standard threshold, since each modification of energy storage information will generate a load verification prediction value Therefore, the load verification prediction value The number corresponds to the number of items of energy storage information, and |load prediction value Qevl - load verification prediction value |The difference is not exactly the same, so sort them according to the difference.

[0142] 4. Power generation platform system dispatch

[0143] Retrieve the backup system that is identical to the corresponding platform system, rebuild a backup energy storage power calculation model, and then generate the power value of the corresponding platform system through the backup energy storage power calculation model. It can be enabled as needed, usually when the system issues an early warning.

[0144] 5. Formulate power generation indicators

[0145] In order to observe and analyze the power generation indicators of each platform more intuitively, the indicator parameters of the energy storage information obtained are quantified to obtain the power generation indicator Fd;

[0146] The calculation method of power generation index Fd is as follows:

[0147]

[0148] In the formula, G1 is the constant correction coefficient, P cxs >0, when P cxs When ≤0, it is recorded as 0;

[0149] Compare the power generation index Fd with the power generation L of the power generation unit;

[0150] If the power generation index Fd is lower than or equal to the power generation L of the power generation unit, the corresponding platform system is marked as level one, and the energy storage information of the platform system is recorded;

[0151] If the power generation index Fd is higher than the power generation L of the power generation unit, the corresponding platform system is marked as level 2, and the power generation unit controlled by the platform system and the environmental parameters of the power generation unit are retrieved.

[0152] Example 2: Reference Figure 2 As shown, a control method for a cross-platform multiple configuration mode of an energy storage system comprises the following steps:

[0153] Step 1: Use the existing industrial communication protocol to collect energy storage information and power values ​​before and after processing on each platform system. The energy storage information includes the power generation power P of the power generation unit. fd , the output power P of the power generation unit fc 、Power load P fh , the power generation L of the power generation unit, the absorbed power P of the battery pack of the energy storage unit cxs ;

[0154] Among them, the data scheduling module includes a collection unit, a simulation unit, an environment monitoring unit and a transmission unit;

[0155] When the platform system is not in working state, the transmission unit is triggered to upload the energy storage information collected by the collection unit to the cloud, and the environmental monitoring unit is turned on to collect the environmental parameters when the energy storage information is generated;

[0156] When the platform system is in working state, trigger the collection unit to collect energy storage information of the platform system;

[0157] Under the condition of detecting the platform system, the collection unit and the simulation unit are triggered at the same time, the collection unit collects the energy storage information of the platform system, and the simulation unit simulates the energy storage information received by the platform system;

[0158] Step 2: retrieve and quantify the index parameters in the energy storage information, build an energy storage power calculation model, generate a standard power comparison value, and compare the standard power comparison value with the absolute value of the power value uploaded by the platform and the preset error threshold. The error threshold includes: upper threshold Git ↑ and lower threshold Git ↓ ;

[0159] When |Power value - Standard power comparison value |≥ upper limit threshold Git ↑ Or |Power value - standard power comparison value | ≤ lower limit value Git ↓ When a warning is issued,

[0160] When the upper threshold Git ↑ >|Power value-standard power comparison value|>Lower limit value Git ↓ When , no response action is taken;

[0161] Step 3: When the system issues an early warning, retrieve the energy storage information of the corresponding platform, build a data analysis model based on the evaluation index Gtc under normal conditions, and generate the load forecast value Qevl of the corresponding platform system;

[0162] Step 4: Sort the energy storage information from large to small according to their weights, and control the simulation unit to simulate the energy storage information in the sorted order to generate load verification prediction values. Load verification prediction value Compare with the load forecast value Qevl;

[0163] When the difference is greater than the preset standard threshold, a maintenance instruction is issued, and maintenance is carried out in order of the magnitude of the difference exceeding the standard threshold;

[0164] Step 5: When the system issues an early warning, call up the backup system that is identical to the corresponding platform system, rebuild the energy storage power calculation model, and generate the power value of the corresponding platform system.

[0165] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0166] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0167] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0168] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A control system for a cross-platform and multiple configuration modes of an energy storage system, characterized in that: The control system includes: The data scheduling module uses the existing industrial communication protocol to collect the energy storage information and power values ​​of each platform system before and after processing. The energy storage information includes the power generation power P of the power generation unit. fd , the output power P of the power generation unit fc 、Power load P fh , the power generation L of the power generation unit, the absorbed power P of the battery pack of the energy storage unit cxs ; The power load includes the load used by the power generation unit, the user load and the DC bus unloading branch, among which the user load is divided into primary load and secondary load that is allowed to be disconnected first according to the load importance level; When the power generation unit is in island operation and the energy storage unit reaches an over-discharge state, the secondary load is disconnected according to the load priority level and the excess power of the system is stored in the battery pack; When the energy storage unit reaches the overcharge state, the DC bus unloading branch is put into use to consume the system redundant power; The system power conduction formula under normal power generation conditions is: P fd >P fc =P cxs +P fh In the formula, when P cxs When P > 0, the battery pack is in charging state. cxs When <0, the battery pack is in discharge state; Among them, the data scheduling module includes a collection unit, a simulation unit, an environment monitoring unit and a transmission unit; When the platform system is in a non-working state, the transmission unit is triggered to upload the energy storage information collected by the collection unit, and the environmental monitoring unit is turned on to collect the environmental parameters when the energy storage information is generated; When the platform system is in working state, trigger the collection unit to collect energy storage information of the platform system; Under the condition of detecting the platform system, the collection unit and the simulation unit are triggered at the same time, the collection unit collects the energy storage information of the platform system, and the simulation unit simulates the energy storage information received by the platform system; The data correction module retrieves and quantifies the index parameters in the energy storage information, builds the energy storage power calculation model, generates the standard power comparison value, and compares the absolute value of the difference between the standard power comparison value and the power value with the preset error threshold. The error threshold includes: upper threshold Git ↑ and lower threshold Git ↓ ; When |Power value - Standard power comparison value |≥ upper limit threshold Git ↑ Or |Power value - standard power comparison value | ≤ lower limit value Git ↓ When the power generation warning is issued; When the upper threshold Git ↑ >|Power value-standard power comparison value|>Lower limit value Git ↓ When , no response action is taken; The load assessment module retrieves the energy storage information of the corresponding platform when the system issues a power generation warning, builds a data analysis model based on the assessment index Gtc under normal conditions, and generates the load forecast value Qevl of the corresponding platform system; The load analysis module sorts the energy storage information from large to small according to its weight on power generation, and controls the simulation unit to simulate each energy storage information in the sorted order to generate load verification prediction values. Load verification prediction value The difference between the load forecast value Qevl and the preset standard threshold is compared; When the difference is greater than the preset standard threshold, a maintenance instruction is issued and maintenance is performed in order of the magnitude of the difference exceeding the standard threshold.

2. The cross-platform and multiple configuration mode control system for energy storage system according to claim 1, characterized in that: The control system also includes: The system dispatching module, when the system issues an early warning, calls up the backup system identical to the corresponding platform system, rebuilds the energy storage power calculation model, and generates the power value of the corresponding platform system.

3. The cross-platform and multiple configuration mode control system for an energy storage system according to claim 1, characterized in that: The energy storage unit is an auxiliary power source for the power generation platform. It adopts a constant power control mode in the grid-connected operation state, and switches the working mode of the energy storage unit according to the difference between the generated power and the power required by the grid-side load; When the power grid consisting of the power generation platform and the power load operates in an islanded form, the energy storage unit switches to constant voltage control mode to maintain the DC bus voltage stability.

4. The cross-platform and multiple configuration mode control system for an energy storage system according to claim 1, characterized in that: The index parameters of energy storage information are quantified to obtain the power generation index Fd; the calculation method of the power generation index Fd is as follows: Where α1, α2, α3, and α4 are the output power P of the power generation unit respectively. fc , the absorbed power P of the energy storage unit battery pack cxs 、Power load P fh And the power generation unit P fd The preset proportional coefficient, and α4>α1>α3>α2>0, G1 is the constant correction coefficient, P cxs >0, when P cxs When ≤0, it is recorded as 0; Compare the power generation index Fd with the power generation L of the power generation unit; If the power generation index Fd is lower than or equal to the power generation L of the power generation unit, the corresponding platform system is marked as level one, and the energy storage information of the platform system is recorded; If the power generation index Fd is higher than the power generation L of the power generation unit, the corresponding platform system is marked as level 2, and the power generation unit controlled by the platform system and the environmental parameters of the power generation unit are retrieved.

5. The cross-platform and multiple configuration mode control system for an energy storage system according to claim 4, characterized in that: The environment acquisition unit is called to collect the environmental parameters when the energy storage information is generated, and the environmental coefficient Eld under normal conditions is generated by the environmental simulation software. The formula for generating the environmental coefficient Eld is as follows: In the formula, Z i is the i-th environmental parameter, θ i is the proportional coefficient corresponding to the i-th environmental parameter, the number of items affecting the power generation environmental parameters is n, and n = a positive integer; Based on the environmental factor Eld under normal conditions, the calculation formula for generating the standard power comparison value is as follows: Wherein, δ is a preset proportional coefficient of the power generation L of the power generation unit, and δ>0, and G2 is a constant correction coefficient.

6. The cross-platform and multiple configuration mode control system for an energy storage system according to claim 5, characterized in that: The power generation units are classified according to the power generation mode, and the environmental parameters in the same category are calculated using the calculation formula of the environmental coefficient Eld. The environmental parameters in each category are greater than 4 items.

7. The cross-platform and multiple configuration mode control system for an energy storage system according to claim 6, characterized in that: Retrieve the energy storage information of the corresponding platform, and generate the load forecast value Qevl of the corresponding platform system based on the evaluation index Gtc under normal conditions; The formula on which the evaluation index Gtc is based is as follows: Under the condition that the system issues an early warning, the evaluation index Gtc within the early warning duration T is obtained to generate the load forecast value Qevl of the corresponding platform system. The formula based on the load forecast value Qevl is as follows: Wherein, T is the duration of the system issuing power generation warning, T = positive integer.

8. The cross-platform and multiple configuration mode control system for an energy storage system according to claim 1, characterized in that: The analysis process of the load analysis module is as follows: S101, arranging the energy storage information in descending order according to the weight of each energy storage information in the platform power generation; S102, using a single variable form to control the simulation unit to simulate one type of data in each energy storage information in sequence; Among them, the simulation unit simulates by adding preset values ​​on the basis of original data; S103, replace the original data with the data after adding the preset value, and recalculate the load prediction value Qevl, and the obtained value is recorded as the load verification prediction value S104: Load verification prediction value The difference between the load forecast value Qevl and the preset standard value is compared.

9. A control method for a cross-platform multiple configuration mode of an energy storage system, using any system described in claims 1 to 8, characterized in that: The method comprises the following steps: Step 1: Use the existing industrial communication protocol to collect energy storage information and power values ​​before and after processing on each platform system. The energy storage information includes the power generation power P of the power generation unit. fd , the output power P of the power generation unit fc 、Power load P fh , the power generation L of the power generation unit, the absorbed power P of the battery pack of the energy storage unit cxs ; Among them, the data scheduling module includes a collection unit, a simulation unit, an environment monitoring unit and a transmission unit; When the platform system is in a non-working state, the transmission unit is triggered to upload the energy storage information collected by the collection unit, and the environmental monitoring unit is turned on to collect the environmental parameters when the energy storage information is generated; When the platform system is in working state, trigger the collection unit to collect energy storage information of the platform system; Under the condition of detecting the platform system, the collection unit and the simulation unit are triggered at the same time, the collection unit collects the energy storage information of the platform system, and the simulation unit simulates the energy storage information received by the platform system; Step 2: retrieve and quantify the index parameters in the energy storage information, build an energy storage power calculation model, generate a standard power comparison value, and compare the standard power comparison value with the absolute value of the power value uploaded by the platform and the preset error threshold. The error threshold includes: upper threshold Git ↑ and lower threshold Git ↓ ; When |Power value - Standard power comparison value |≥ upper limit threshold Git ↑ Or |Power value - standard power comparison value | ≤ lower limit value Git ↓ When the upper threshold Git ↑ >|Power value-standard power comparison value|>Lower limit value Git ↓ When , no response action is taken; Step 3: When the system issues an early warning, retrieve the energy storage information of the corresponding platform, build a data analysis model based on the evaluation index Gtc under normal conditions, and generate the load forecast value Qevl of the corresponding platform system; Step 4: Sort the energy storage information from large to small according to their weights, and control the simulation unit to simulate the energy storage information in the sorted order to generate load verification prediction values. Load verification prediction value Compare with the load forecast value Qevl; When the difference is greater than the preset standard threshold, a maintenance instruction is issued, and maintenance is carried out in order of the magnitude of the difference exceeding the standard threshold; Step 5: When the system issues an early warning, call up the backup system that is identical to the corresponding platform system, rebuild the energy storage power calculation model, and generate the power value of the corresponding platform system.

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