CN112467766B - Control method of optical storage system in micro-grid - Google Patents
Control method of optical storage system in micro-grid Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000004146 energy storage Methods 0.000 claims abstract description 23
- 238000007599 discharging Methods 0.000 claims abstract description 15
- 238000009795 derivation Methods 0.000 claims abstract description 8
- 230000003044 adaptive effect Effects 0.000 claims description 12
- 230000005251 gamma ray Effects 0.000 claims description 8
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- 238000004590 computer program Methods 0.000 description 7
- 230000001276 controlling effect Effects 0.000 description 5
- 238000004088 simulation Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 238000011217 control strategy Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000002457 bidirectional effect Effects 0.000 description 1
- 238000013016 damping Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
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- 238000005286 illumination Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
The invention discloses a control method of a light storage system in a micro-grid, which comprises the steps of obtaining tracking errors of actual output currents of a DC-DC charging and discharging model and the light storage system; defining the actual output current, the direct-current bus voltage and the self-adaptive estimation error corresponding to the unmodeled part according to the DC-DC charging and discharging model; respectively setting an integral sliding mode surface and a Lyapunov function of the AISMC controller according to the tracking error and the self-adaptive estimation error: performing derivation on the Lyapunov function; designing a projection self-adaptation law according to the direct-current bus voltage of the light storage system, the output voltage of an energy storage module in the light storage system and a projection operator; selecting an AISMC controller according to the projection self-adaptation law, the sliding mode integral surface, the Lyapunov function and the derivative thereof; and adjusting and controlling the photo-generated current according to the AISMC controller. The invention can realize the accurate tracking of the output power of the energy storage system in the optical storage microgrid, optimize the quality of electric energy and improve the robustness of the system.
Description
Technical Field
The invention relates to a control method of an optical storage system in a micro-grid, belonging to the field of power electronics.
Background
In recent years, solar energy has attracted much attention in micro-grid due to its good economy, universal applicability and absolute safety. The quality and stability of the output electric energy are determined to the maximum extent by the control strategy of the optical storage system. However, the power electronic device itself has inertia and damping characteristics, which cause system instability and deteriorate power quality. Meanwhile, the photovoltaic system is very easily influenced by the external environment, so that energy fluctuation in the micro-grid is caused.
The PID controller is widely applied to the light storage system at present, has the advantages of reliable performance, relatively simple structure and universal adaptability, and has the advantages of being obvious in competition. The PID control has disadvantages in that overshoot occurs, robustness and dynamic characteristics are gradually not satisfied.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a control method of an optical storage system in a micro-grid, so as to solve the problem of poor electric energy quality in the prior art. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a control method of an optical storage system in a micro-grid comprises the following steps:
acquiring tracking errors of actual output currents of a DC-DC charging and discharging model and a light storage system;
defining the actual output current, the direct-current bus voltage and the self-adaptive estimation error corresponding to the unmodeled part according to the DC-DC charging and discharging model;
respectively setting an integral sliding mode surface and a Lyapunov function of the AISMC controller according to the tracking error and the self-adaptive estimation error:
performing derivation on the Lyapunov function;
designing a projection self-adaptation law according to the direct-current bus voltage of the light storage system, the output voltage of an energy storage module in the light storage system and a projection operator;
selecting an AISMC (automatic identification and verification machine) controller according to the projection self-adaptive law, the sliding mode integration surface, the Lyapunov function and the derivative thereof;
and adjusting and controlling the photo-generated current according to the AISMC controller.
Further, the DC-DC charging and discharging model is:
wherein eta is 1 Parameter term, η, for the actual output current of the light storage system 2 Is a DC bus voltage parameter item, u, of the optical storage system dc Is the DC bus voltage of the optical storage system u b The output voltage of an energy storage module in the optical storage system is delta, the unmodeled part of the optical storage system is delta, m is an AISMC controller, and x is the actual output current of the optical storage system.
Further, the tracking error is:
e＝x-i ref (4)
wherein i ref Outputting a current reference value for the photovoltaic cell; p ref Outputting a power reference value for the photovoltaic cell; u. of b The output voltage of an energy storage module in the optical storage system is obtained; e is the tracking error; and x is the actual output current of the light storage system.
Further, the adaptive estimation error is:
wherein the content of the first and second substances,
self-adaptive estimation errors corresponding to actual output currents of the optical storage system; />
Self-adaptive estimation error corresponding to the direct-current bus voltage of the optical storage system; />
Self-adaptive estimation errors corresponding to unmodeled parts of the optical storage system;
respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value of an unmodeled part of the optical storage system; eta 1 ,η 2 And delta is an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an unmodeled part of the optical storage system respectively.
Further, the integral sliding mode surface is:
wherein S is an integral sliding mode surface; e is the tracking error; beta is an integral sliding mode surface parameter;
the Lyapunov function is:
wherein V is a Lyapunov function; gamma ray i (i =1,2,3) is an adaptive parameter;
self-adaptive estimation errors corresponding to actual output currents of the optical storage system; />
Self-adaptive estimation error corresponding to the direct current bus voltage of the light storage system; />
And estimating the error for the corresponding self-adaption of the unmodeled part of the optical storage system.
Further, the formula for deriving the lyapunov function is as follows:
wherein, the first and the second end of the pipe are connected with each other,
is the derivative of the lyapunov function; />
Respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value of an unmodeled part of the optical storage system; u. of dc The direct current bus voltage of the light storage system; u. of b The output voltage of an energy storage module in the optical storage system is obtained; m is an AISMC controller; i.e. i ref Outputting a current reference value for the photovoltaic cell; e is the tracking error; beta is an integral sliding mode surface parameter; />
Respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value derivative of an unmodeled part of the optical storage system; gamma ray i (i =1,2,3) is an adaptive parameter; s is an integral sliding mode surface; />
Self-adaptive estimation errors corresponding to actual output currents of the optical storage system; />
Self-adaptive estimation error corresponding to the direct-current bus voltage of the optical storage system; />
Self-adaptive estimation errors corresponding to unmodeled parts of the optical storage system; and x is the actual output current of the light storage system. />
Further, the projection operator is:
wherein, proj (a, b) is a projection operator; a is an estimated value of a projection operator; a is max Is the upper bound of the estimated value of the projection operator; b is the self-adaptive rate designed by the projection operator; x is the actual output current of the light storage system;
the projection adaptation law is as follows:
wherein the content of the first and second substances,
respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value derivative of an unmodeled part of the optical storage system; />
Respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value of an unmodeled part of the optical storage system; gamma ray i (i =1,2,3) is an adaptive parameter; s is an integral sliding mode surface; x is the actual output current of the light storage system; u. of dc The direct current bus voltage of the light storage system; u. of b The output voltage of an energy storage module in the optical storage system is obtained; and m is an AISMC controller.
Further, the AISMC controller is:
wherein m is an AISMC controller;
for actual output current of light storage systemAdapting to the estimation error; />
Self-adaptive estimation error corresponding to the direct-current bus voltage of the optical storage system; />
Self-adaptive estimation errors corresponding to unmodeled parts of the optical storage system; u. of b The output voltage of an energy storage module in the optical storage system is obtained; e is the tracking error; x is the actual output current of the light storage system; beta is an integral sliding mode surface parameter; i.e. i ref Outputting a current reference value for the photovoltaic cell; k is a controller parameter, sat (S) is a saturation function; s is an integral sliding mode surface; psi is the boundary of the integral sliding mode faces.
A control system for an optical storage system in a microgrid, the system comprising:
an acquisition module: the tracking error of the actual output current of the DC-DC charging and discharging model and the light storage system is obtained;
a definition module: the self-adaptive estimation error module is used for defining the actual output current, the direct-current bus voltage and the self-adaptive estimation error corresponding to the unmodeled part according to the DC-DC charging and discharging model;
a setting module: the system is used for respectively setting an integral sliding mode surface and a Lyapunov function of the AISMC controller according to the tracking error and the self-adaptive estimation error;
a derivation module: for deriving the Lyapunov function;
designing a module: the projection self-adaption law is designed according to the direct-current bus voltage of the light storage system, the output voltage of an energy storage module in the light storage system and a projection operator;
a selection module: the AISMC controller is used for selecting the AISMC according to the projection self-adaptive law, the sliding mode integral surface, the Lyapunov function and the derivative thereof;
an adjusting module: and the controller is used for finishing regulation and control of the photo-generated current according to the AISMC controller.
A control system for a storage system in a microgrid, the system comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the method described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method described above.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
according to the invention, the output power of the optical storage system is regulated and controlled, the AISMC controller is designed through the tracking error and the projection self-adaptive law of the actual output current of the DC-DC charging and discharging model and the optical storage system, model parameters and the unmodeled part of the model can be subjected to self-adaptive online identification according to the real-time running state after being controlled by the AISMC controller, the dynamic characteristic of the controller is optimized, the robustness of the system is improved, and the convergence speed is increased, so that the electric energy quality of the optical storage system is improved.
Drawings
FIG. 1 is a structural block diagram of a photovoltaic energy storage direct current micro-grid system of the method;
FIG. 2 is a flow chart of the control of an ASIMC controller according to an embodiment of the present invention;
FIG. 3 is an equivalent circuit diagram of a bidirectional DC-DC converter according to an embodiment of the present invention;
fig. 4 is a simulation diagram of photovoltaic array power under ASIMC control in an embodiment of the present invention;
fig. 5 is a power simulation diagram of an optical storage system under ASIMC control in an embodiment of the present invention;
fig. 6 is a simulation diagram of dc bus power under ASIMC control in the embodiment of the present invention.
Detailed Description
For a better understanding of the nature of the invention, its description is further set forth below in connection with the specific embodiments and the drawings.
The system and the method are suitable for controlling the light storage system in the microgrid in the solar power generation.
As shown in fig. 1 to 3, a method for controlling an optical storage system in a microgrid includes the following steps:
(1) Acquiring tracking errors of actual output currents of a DC-DC charging and discharging model and a light storage system;
a conventional DC-DC converter charge-discharge mathematical model may be represented by equation (1), and the model is transformed in consideration of adaptive control of parameters and unmodeled parts in the model, and the transformed model may be represented by equation (2):
wherein eta is 1 Parameter term, η, for the actual output current of the light storage system 2 Is a DC bus voltage parameter item, u, of the optical storage system dc Is the DC bus voltage of the light storage system u b The method comprises the steps that the output voltage of an energy storage module in the optical storage system is represented, delta is an unmodeled part of the optical storage system, m is an AISMC controller, x is actual output current of the optical storage system, R is resistance of a DC-DC conversion circuit, and L is inductance of the DC-DC conversion circuit.
In order to realize the output power tracking control of the system, the reference value of the output power of the photovoltaic cell is defined as P ref Then the photovoltaic cell outputs a current reference value i ref And the tracking error e of the actual output current x of the optical storage system is as follows:
e＝x-i ref (4)
(2) Defining the actual output current, the direct-current bus voltage and the self-adaptive estimation error corresponding to the unmodeled part according to the DC-DC charging and discharging model;
wherein the content of the first and second substances,
self-adaptive estimation errors corresponding to actual output currents of the optical storage system; />
Self-adaptive estimation error corresponding to the direct current bus voltage of the light storage system; />
Self-adaptive estimation errors corresponding to unmodeled parts of the optical storage system;
the method comprises the steps of respectively obtaining an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value of an unmodeled part of the optical storage system.
(3) Respectively setting an integral sliding mode surface and a Lyapunov function of the AISMC controller according to the tracking error and the self-adaptive estimation error:
wherein S is an integral sliding mode surface; e is the tracking error; beta is an integral sliding mode surface parameter; v is a Lyapunov function; gamma ray i (i =1,2,3) is an adaptive parameter.
(4) Carrying out derivation on the Lyapunov function;
wherein the content of the first and second substances,
is the derivative of the lyapunov function; />
Respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value derivative of an unmodeled part of the optical storage system; .
(5) Designing a projection self-adaption law according to the direct-current bus voltage of the light storage system, the output voltage of an energy storage module in the light storage system and a projection operator;
the projection adaptation law is as follows:
wherein the projection operator is:
wherein, proj (a, b) is a projection operator; a is an estimated value of a projection operator; a is max Is the upper bound of the estimated value of the projection operator; b is the self-adaptive rate designed by the projection operator; the projection adaptive signal respectively carries out on-line approximation on the parameters and the unmodeled part in the model, so that buffeting controlled by a traditional sliding mode can be improved, and the dynamic performance of the controller is improved.
(6) Selecting an AISMC controller according to a projection self-adaptive law, a sliding mode integral surface, a Lyapunov function and a derivative thereof;
wherein the AISMC controller m is:
where k >0 is the designed controller parameter, sat (S) is the saturation function:
where ψ represents the boundary of the defined integral sliding mode plane, and generally takes a value between 0 and 0.5.
(7) And adjusting and controlling the photo-generated current according to the AISMC controller.
Carrying out simulation by adopting a matlab/simulink experiment table, wherein simulation parameters are as follows: the rated output power of the photovoltaic array is 100kw, an integral sliding mode surface parameter beta =0.1, a controller parameter k =120, and a self-adaptive parameter gamma 1 ＝0.2，γ 2 ＝0.2，γ 3 =0.5. According to the control system and the control method provided by the invention, the obtained experimental screenshot is as follows:
when the outside temperature and the illumination intensity are locally stable in a certain period, when the AISMC control strategy is used, as shown in figures 4-6, the output power of the photovoltaic system floats between 47.3kW and 47.5kW, the output power of the energy storage system floats before 52.45kW and 52.7kW, the grid-connected power floats between 99.8kW and 100.1kW, the floating range is extremely small, the energy storage system under the control of the AISMC strategy can further offset the output of the photovoltaic system, the grid-connected power is smoother, and the grid-connected electric energy quality is guaranteed.
The control strategy and the optimization method of the optical storage system in the microgrid can realize the accurate tracking of the output power of the energy storage system in the optical storage microgrid, optimize the quality of electric energy and improve the robustness of the system. The AISMC controller is used for controlling the output current of the optical storage system, and the output current signal obtained after being processed by the AISMC controller is used as the input signal of the DC-DC.
A control system for an optical storage system in a microgrid, the system comprising:
an acquisition module: the tracking error of the actual output current of the DC-DC charge-discharge model and the light storage system is obtained;
a definition module: the self-adaptive estimation error module is used for defining the actual output current, the direct-current bus voltage and the self-adaptive estimation error corresponding to the unmodeled part according to the DC-DC charging and discharging model;
a setting module: the system is used for respectively setting an integral sliding mode surface and a Lyapunov function of the AISMC controller according to the tracking error and the self-adaptive estimation error;
a derivation module: for deriving the Lyapunov function;
designing a module: the projection self-adaption law is designed according to the direct-current bus voltage of the light storage system, the output voltage of an energy storage module in the light storage system and a projection operator;
a selection module: the AISMC controller is used for selecting the AISMC according to the projection self-adaptive law, the sliding mode integral surface, the Lyapunov function and the derivative thereof;
an adjusting module: and the controller is used for completing regulation and control of the photo-generated current according to the AISMC controller.
A control system for a storage system in a microgrid, the system comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the method described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method described above.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (9)
1. A control method of an optical storage system in a micro-grid is characterized by comprising the following steps:
acquiring tracking errors of actual output currents of a DC-DC charge-discharge model and a light storage system;
defining the actual output current, the direct-current bus voltage and the self-adaptive estimation error corresponding to the unmodeled part according to the DC-DC charging and discharging model;
respectively setting an integral sliding mode surface and a Lyapunov function of the AISMC controller according to the tracking error and the self-adaptive estimation error;
performing derivation on the Lyapunov function;
designing a projection self-adaptation law according to the direct-current bus voltage of the light storage system, the output voltage of an energy storage module in the light storage system and a projection operator;
selecting an AISMC controller according to the projection self-adaptation law, the sliding mode integral surface, the Lyapunov function and the derivative thereof;
the regulation control of the photo-generated current is completed according to the AISMC controller;
the integral sliding mode surface is as follows:
wherein S is an integral sliding mode surface; e is the tracking error; beta is an integral sliding mode surface parameter;
the Lyapunov function is:
wherein V is a Lyapunov function; gamma ray i (i =1,2,3) is an adaptive parameter;
self-adaptive estimation errors corresponding to actual output currents of the optical storage system; />
Self-adaptive estimation error corresponding to the direct-current bus voltage of the optical storage system; />
And (4) self-adaptive estimation errors corresponding to the unmodeled part of the light storage system.
2. The method for controlling the optical storage system in the microgrid according to claim 1, wherein the DC-DC charging and discharging model is as follows:
wherein eta 1 Parameter term, η, for the actual output current of the light storage system 2 Is a DC bus voltage parameter item, u, of the optical storage system dc Is the DC bus voltage of the optical storage system u b The output voltage of an energy storage module in the optical storage system is delta, the unmodeled part of the optical storage system is delta, m is an AISMC controller, and x is the actual output current of the optical storage system.
3. The method as claimed in claim 1, wherein the tracking error is:
e＝x-i ref (4)
wherein i ref Outputting a current reference value for the photovoltaic cell; p ref Outputting a power reference value for the photovoltaic cell; u. of b The output voltage of an energy storage module in the optical storage system is obtained; e is the tracking error; and x is the actual output current of the light storage system.
4. The method as claimed in claim 1, wherein the adaptive estimation error is:
wherein the content of the first and second substances,
self-adaptive estimation errors corresponding to actual output currents of the optical storage system; />
Self-adaptive estimation error corresponding to the direct-current bus voltage of the optical storage system;/>
self-adaptive estimation errors corresponding to unmodeled parts of the optical storage system; />
Respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value of an unmodeled part of the optical storage system; eta 1 ，η 2 And delta is an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an unmodeled part of the optical storage system respectively.
5. The method of claim 1, wherein the derivation formula for the lyapunov function is:
wherein the content of the first and second substances,
is the derivative of the lyapunov function; />
Respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value of an unmodeled part of the optical storage system; u. of dc The direct current bus voltage of the light storage system; u. of b The output voltage of an energy storage module in the optical storage system is obtained; m is an AISMC controller; i.e. i ref Outputting a current reference value for the photovoltaic cell; e is the tracking error; beta is an integral sliding mode surface parameter; />
Respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value derivative of an unmodeled part of the optical storage system; gamma ray i (i =1,2,3) is an adaptive parameter; s is an integral sliding mode surface; />
Self-adaptive estimation errors corresponding to actual output currents of the optical storage system; />
Self-adaptive estimation error corresponding to the direct-current bus voltage of the optical storage system; />
Self-adaptive estimation errors corresponding to unmodeled parts of the optical storage system; and x is the actual output current of the light storage system.
6. The method as claimed in claim 1, wherein the projection operator is:
wherein, proj (a, b) is a projection operator; a is an estimated value of a projection operator; a is a max Is the upper bound of the estimated value of the projection operator; b is the self-adaptive rate designed by the projection operator; x is the actual output current of the light storage system;
the projection adaptation law is as follows:
wherein, the first and the second end of the pipe are connected with each other,
respectively estimating the actual output current parameter item of the optical storage system, the direct current bus voltage parameter item of the optical storage system and the unmodeled part of the optical storage systemEvaluating a derivative; />
Respectively representing an actual output current parameter item of the optical storage system, a direct current bus voltage parameter item of the optical storage system and an estimated value of an unmodeled part of the optical storage system; gamma ray i (i =1,2,3) is an adaptive parameter; s is an integral sliding mode surface; x is the actual output current of the light storage system; u. of dc The direct current bus voltage of the light storage system; u. of b The output voltage of an energy storage module in the optical storage system is obtained; and m is an AISMC controller.
7. The method for controlling the optical storage system in the microgrid according to claim 1, wherein the AISMC controller is:
wherein m is an AISMC controller;
self-adaptive estimation errors corresponding to actual output currents of the optical storage system; />
Self-adaptive estimation error corresponding to the direct-current bus voltage of the optical storage system; />
Self-adaptive estimation errors corresponding to unmodeled parts of the optical storage system; u. of b The output voltage of an energy storage module in the optical storage system is obtained; u. of dc The direct current bus voltage of the light storage system; e is the tracking error; x is the actual output current of the light storage system; beta is an integral sliding mode surface parameter; i.e. i ref Outputting a current reference value for the photovoltaic cell; k is controlA generator parameter, sat (S) is a saturation function; s is an integral sliding mode surface; psi is the boundary of the integral sliding mode faces.
8. A control system for an optical storage system in a microgrid, the system comprising:
an acquisition module: the tracking error of the actual output current of the DC-DC charging and discharging model and the light storage system is obtained;
the definition module: the self-adaptive estimation error module is used for defining the actual output current, the direct-current bus voltage and the self-adaptive estimation error corresponding to the unmodeled part according to the DC-DC charging and discharging model;
a setting module: the system is used for respectively setting an integral sliding mode surface and a Lyapunov function of the AISMC controller according to the tracking error and the self-adaptive estimation error;
a derivation module: for deriving the Lyapunov function;
designing a module: the projection self-adaption law is designed according to the direct-current bus voltage of the light storage system, the output voltage of an energy storage module in the light storage system and a projection operator;
a selection module: the AISMC controller is used for selecting the AISMC according to the projection self-adaptive law, the sliding mode integral surface, the Lyapunov function and the derivative thereof;
an adjusting module: the controller is used for completing regulation and control of the photo-generated current according to the AISMC controller;
the integral sliding mode surface is as follows:
wherein S is an integral sliding mode surface; e is the tracking error; beta is an integral sliding mode surface parameter;
the Lyapunov function is:
wherein V is a Lyapunov function; gamma ray i (i＝1，2，3) Is an adaptive parameter;
self-adaptive estimation errors corresponding to actual output currents of the optical storage system; />
Self-adaptive estimation error corresponding to the direct-current bus voltage of the optical storage system; />
And (4) self-adaptive estimation errors corresponding to the unmodeled part of the light storage system.
9. A control system for a storage system in a microgrid, the system comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 7.
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