CN113690949A - Control mode switching method and device for energy storage system of new energy station - Google Patents

Control mode switching method and device for energy storage system of new energy station Download PDF

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CN113690949A
CN113690949A CN202110729569.1A CN202110729569A CN113690949A CN 113690949 A CN113690949 A CN 113690949A CN 202110729569 A CN202110729569 A CN 202110729569A CN 113690949 A CN113690949 A CN 113690949A
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new energy
storage system
energy storage
control mode
operation scene
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CN113690949B (en
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吴林林
王一妹
刘建琴
张艳
徐曼
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Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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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
    • H02J3/48—Controlling the sharing of the in-phase component
    • 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
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • H02J2300/28—The renewable source being wind energy
    • 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
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62—The condition being non-electrical, e.g. temperature
    • H02J2310/64—The condition being economic, e.g. tariff based load management
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

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Abstract

The application provides a control mode switching method and device for an energy storage system of a new energy station, and the method comprises the following steps: acquiring the active power output of new energy of a target new energy station; determining a predicted operation scene of the target new energy station according to the active power output of the new energy and a preset operation scene judgment basis; and determining a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station according to the predicted operation scene and the corresponding economic benefit, so as to complete the control mode switching of the energy storage system according to the target predictive control mode. The energy storage system of the new energy station can be flexibly switched among a plurality of control modes, and meanwhile, the total output level of the new energy can be improved.

Description

Control mode switching method and device for energy storage system of new energy station
Technical Field
The application relates to the technical field of energy storage operation control, in particular to a control mode switching method and device for an energy storage system of a new energy station.
Background
The construction of a novel power system taking new energy as a main body is an important way for realizing the goals of carbon peak reaching and carbon neutralization. The active power output of the new energy presents obvious fluctuation and randomness compared with the conventional hydroelectric power and thermal power. In order to improve the grid-connected characteristic of the new energy station and promote the consumption of new energy, a feasible idea is to construct a combined power generation system with relatively controllable active power by a configuration energy storage method, and a plurality of provinces begin to give out relevant requirements of new energy station configuration energy storage in 2020. The method is combined with the actual situation of power grid operation in large-scale new energy convergence areas in China, researches on the active coordination control of the new energy and electrochemical energy storage combined power station, is beneficial to realizing friendly access of new energy power generation, promotes new energy consumption, assists new energy and power supply side energy storage development, and promotes energy structure transformation.
Scholars at home and abroad develop a series of researches around the application of smooth fluctuation, peak shifting and valley filling and the like after the energy storage system is added into a new energy station, and various control modes such as smooth output, tracking of a power generation plan, participation in auxiliary frequency modulation and the like are realized. However, the current energy storage system is mostly applied to a single control mode, switching between different control modes is realized in a manual mode, research and exploration on coexistence of multiple operation scenes are relatively few, selection of a control strategy mostly depends on a real-time state of wind and light output, and flexibility and selectivity are lacked.
Disclosure of Invention
Aiming at least one problem in the prior art, the application provides a control mode switching method and device for a new energy station energy storage system, which can realize flexible switching of the new energy station energy storage system among a plurality of control modes and can improve the total output level of new energy at the same time.
In order to solve the technical problem, the present application provides the following technical solutions:
in a first aspect, the present application provides a method for switching control modes of an energy storage system of a new energy station, including:
acquiring the active power output of new energy of a target new energy station;
determining a predicted operation scene of the target new energy station according to the active power output of the new energy and a preset operation scene judgment basis;
and determining a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station according to the predicted operation scene and the corresponding economic benefit, so as to complete the control mode switching of the energy storage system according to the target predictive control mode.
Further, the predicted operation scenario includes: and at least one of peak clipping and valley filling, tracking plan, smooth output and power grid frequency modulation operation scene.
Further, the control mode switching method for the energy storage system of the new energy station further includes:
and determining an active power instruction predicted value corresponding to the energy storage system according to the predicted operation scene and the economic benefit corresponding to the predicted operation scene.
Further, the determining a predicted operation scene of the target new energy station according to the new energy active power output and a preset operation scene judgment basis includes:
judging whether the predicted operation scene comprises a peak clipping and valley filling operation scene or not according to the following formula:
Figure BDA0003138830360000021
wherein ,I1For judging and representing the peak clipping and valley filling operation scene, 1 represents the coincidence scene characteristics0 means no match; pt-iT0Is t-iT0Active power output of new energy at time, T0In order to be a period of data sampling,
Figure BDA0003138830360000022
is T- (N-1) T0The average value of the total new energy work from the moment to the current moment t, wherein N is the number of statistical periods;
Figure BDA0003138830360000023
dispatching and issuing an instruction value to the target new energy station for the current time t;
Figure BDA0003138830360000024
represented as the ith peak load period;
Figure BDA0003138830360000025
the mean value of the active output of the new energy in N periods is lower than a planned value issued by scheduling at the current moment;
Figure BDA0003138830360000026
represented as the ith trough load period;
Figure BDA0003138830360000027
the current time belongs to the load valley period and the total active average value of the new energy is higher than a planned value issued by scheduling;
and if the judgment representation value of the peak clipping and valley filling operation scene is 1, determining that the predicted operation scene comprises the peak clipping and valley filling operation scene.
Further, the determining a predicted operation scene of the target new energy station according to the new energy active power output and a preset operation scene judgment basis includes:
judging whether the predicted operation scene comprises a tracking plan operation scene or not according to the following formula:
Figure BDA0003138830360000031
Figure BDA0003138830360000032
Figure BDA0003138830360000033
Figure BDA0003138830360000034
wherein, gradτIs the grade climbing index at the time of tau,
Figure BDA0003138830360000035
the average value of the climbing indexes from the current time T to the (T + T) time is obtained; n is the length of the sliding window,
Figure BDA0003138830360000036
is t-kT0The active power output of the new energy at any moment; i is2For the judgment representation of tracking a planned operation scene, 1 represents the scene feature is met, and 0 represents the scene feature is not met; gradlimitA threshold value for a hill climbing event;
Figure BDA0003138830360000037
dispatching and issuing an instruction value to the new energy station for the current time t;
and if the judgment representation value of the tracking plan operation scene is 1, determining that the predicted operation scene comprises the tracking plan operation scene.
Further, the determining a predicted operation scene of the target new energy station according to the new energy active power output and a preset operation scene judgment basis includes:
judging whether the predicted operation scene comprises a smooth output operation scene or not according to the following formula:
Figure BDA0003138830360000038
wherein ,
Figure BDA0003138830360000039
represents T- (N-1) T0The average value of the active output of the new energy at the current moment t; i is3For judging and representing a smooth output operation scene, 1 represents that the scene features are met, and 0 represents that the scene features are not met; ptActive power output of new energy at the current moment t; delta PmaxIs T0Maximum power deviation value of new energy allowed in time;
Figure BDA00031388303600000310
is NT0The accumulated value of the absolute value of the new energy power deviation allowed in time;
and if the judgment representation value of the smooth output operation scene is 1, determining that the predicted operation scene comprises the smooth output operation scene.
Further, the determining a predicted operation scene of the target new energy station according to the new energy active power output and a preset operation scene judgment basis includes:
judging whether the predicted operation scene contains a power grid frequency modulation operation scene or not according to the following formula:
Figure BDA0003138830360000041
wherein ,I4The judgment of the power grid frequency modulation operation scene shows that 1 shows that the scene is in accordance with the characteristics of the scene, and 0 shows that the scene is not in accordance with the characteristics of the scene; Δ ftThe absolute value of the deviation between the current frequency of the power grid and 50 Hz; Δ fmaxMaximum power deviation allowed for the grid; df/dt is the frequency rate of change of the grid at the present time t,
Figure BDA0003138830360000042
the maximum power change rate allowed by the power grid;
and if the judgment representation value of the power grid frequency modulation operation scene is 1, determining that the predicted operation scene comprises a smooth output operation scene.
Further, the determining, according to the predicted operation scenario and the economic benefit corresponding to the predicted operation scenario, a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station, so as to complete the control mode switching of the energy storage system according to the target predictive control mode, includes:
according to the following formula, determining a predicted operation scene corresponding to an optimization target with the maximum value, and taking a predicted control mode corresponding to the predicted operation scene as the target predicted control mode to complete control mode switching of the energy storage system according to the target predicted control mode:
Figure BDA0003138830360000043
wherein ,IiRepresenting whether the operation scene i conforms to the scene characteristics; fi represents the economic benefit corresponding to the operation scene i; the optimization target maxF meets the following four constraints:
the energy storage system is in a unique control mode; the charge state of the energy storage system is between the preset upper limit and the preset lower limit; the charging and discharging electric quantity of the stored energy is limited by the rated capacity of the energy storage system; if the energy storage system is in a control mode, the operation time in the control mode is greater than the minimum time threshold.
Further, if the energy storage system is in a discharge state in the next data sampling period, the economic benefit of the energy storage system in the peak clipping and valley filling operation scene is obtained according to the following formula:
Figure BDA0003138830360000044
wherein ,η1In order to achieve the discharge efficiency of the energy storage system,
Figure BDA0003138830360000045
for energy storage systems at t + kT0Discharge power at the moment.
Further, if the energy storage system is in a charging state in the next data sampling period, the economic benefit of the energy storage system in the peak clipping and valley filling operation scene is obtained according to the following formula:
Figure BDA0003138830360000051
wherein ,η2In order to provide the charging efficiency of the energy storage system,
Figure BDA0003138830360000052
for energy storage systems at t + kT0The charging power at the moment.
Further, the economic benefit of the energy storage system in the tracking plan operation scene is obtained based on the following formula:
Figure BDA0003138830360000053
wherein ,Pt+kT0Is t + kT0The active power of the new energy is output,
Figure BDA0003138830360000054
is the active power command value at the current time t.
Further, the economic benefit of the energy storage system in the smooth output operation scene is obtained based on the following formula:
Figure BDA0003138830360000055
wherein ,PtActive power output of new energy at the current moment t; delta PmaxIs T0Maximum power deviation value allowed in time;
Figure BDA0003138830360000056
is T- (N-1) T0And (4) averaging the active output of the new energy at the current moment t.
Further, the economic benefit of the energy storage system in the power grid frequency modulation operation scene is obtained based on the following formula:
Figure BDA0003138830360000057
wherein ,kpThe frequency modulation quality coefficient of the new energy station is obtained; d is the subsidy price of unit mileage.
In a second aspect, the present application provides a control mode switching device for an energy storage system of a new energy station, including:
the acquisition module is used for acquiring the active power output of the new energy of the target new energy station;
the scene division module is used for determining a predicted operation scene of the target new energy station according to the new energy active power output and a preset operation scene judgment basis;
and the control mode switching module is used for determining a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station according to the predictive operation scene and the economic benefit corresponding to the predictive operation scene so as to complete the control mode switching of the energy storage system according to the target predictive control mode.
In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method for switching control modes of the energy storage system of the new energy station when executing the program.
In a fourth aspect, a computer readable storage medium has stored thereon computer instructions that, when executed, implement the method for switching control modes of a new energy station energy storage system.
According to the technical scheme, the application provides a control mode switching method and device for an energy storage system of a new energy station. Wherein, the method comprises the following steps: acquiring the active power output of new energy of a target new energy station; determining a predicted operation scene of the target new energy station according to the active power output of the new energy and a preset operation scene judgment basis; according to the predicted operation scene and the corresponding economic benefit, a target prediction control mode which is only corresponding to the energy storage system in the target new energy station is determined, so that the control mode switching of the energy storage system is completed according to the target prediction control mode, the flexible switching of the energy storage system of the new energy station among a plurality of control modes can be realized, meanwhile, the overall output level of the new energy station can be improved, and further, the grid-connected characteristic of the new energy station can be improved and the new energy consumption can be promoted; specifically, optimization of various predicted operation scenes can be achieved, accuracy of control mode switching is improved, meanwhile, automation degree of control mode switching of the energy storage system of the new energy station can be improved, and labor cost is saved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a control mode switching method of an energy storage system of a new energy station in an embodiment of the present application;
FIG. 2 is a schematic diagram of a prior art connection between a wind storage combined plant and a power grid;
FIG. 3 is a graph illustrating the active output of new energy in an application example of the present application;
fig. 4 is a schematic diagram of a relationship between the new energy active power output and the scene division in an application example of the application;
fig. 5 is a schematic diagram of comparison between the original active power of the new energy and the combined active power of the new energy and the stored energy in the application example of the application example;
fig. 6 is a schematic structural diagram of a control mode switching device of an energy storage system of a new energy station in an embodiment of the present application;
fig. 7 is a schematic block diagram of a system configuration of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The electrochemical energy storage system can realize switching of various control modes according to the requirements of a power grid, but the conventional energy storage system can only realize switching of the control modes manually or in a fixed mode, certain blindness and hysteresis exist in switching, and the energy storage system cannot completely play a role in flexible adjustment; based on the above, for the energy storage system of the new energy station, the application provides a control mode switching method and device for the energy storage system of the new energy station, and the method and device take possible operation scenes and basis of scene division of the new energy station into consideration, establish economic benefits corresponding to operation of the energy storage system in different operation scenes, comprehensively take the state constraint of the operation of the energy storage system into consideration, and realize self-adaptive switching of the energy storage system among a plurality of control modes.
The following examples are intended to illustrate the details.
In order to realize flexible switching of the energy storage system among multiple control modes and improve the total output level of new energy, this embodiment provides a control mode switching method for a new energy station energy storage system, where an execution main body is a control mode switching device for the new energy station energy storage system, where the control mode switching device for the new energy station energy storage system includes, but is not limited to, a server, as shown in fig. 1, and the method specifically includes the following contents:
step 100: and acquiring the active power output of the new energy of the target new energy station.
Specifically, the target new energy station may represent a new energy-energy storage combined power station, and an energy storage system in the new energy-energy storage combined power station is an energy storage system combined with new energy; taking the wind storage combined power station shown in fig. 2 as an example, the medium-voltage side bus is respectively connected with the wind turbine generator, the energy storage system and the main transformer; the grid-connected point is a node of the wind storage combined power station connected with the power grid and is respectively connected with the main transformer and the power grid; the energy storage system can monitor the total active power of the wind turbine generator in the wind storage combined power station in real time through a supervisory control and data acquisition (SCADA) system of the wind storage combined power station, and the total active power is used as the active output of new energy. If the wind storage combined power station has n fan collection lines, the total active power of the wind turbine generator at the current moment t can be obtained in real time:
Figure BDA0003138830360000071
in the above formula, PWiThe active power of the ith fan line.
Step 200: and determining a predicted operation scene of the target new energy station according to the active power output of the new energy and a preset operation scene judgment basis.
Specifically, the predicted operation scenario may be an operation scenario matched by the target new energy station in the next data sampling period; the predicted operation scene comprises the following steps: at least one of peak clipping and valley filling, tracking plan, smooth output and power grid frequency modulation operation scene; the predictive control mode corresponding to the energy storage system corresponds to the predictive operation scene of the new energy station one to one, for example, if the predictive operation scene of the new energy station is a peak clipping and valley filling operation scene, the predictive control mode corresponding to the energy storage system is a peak clipping and valley filling control mode.
Step 300: and determining a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station according to the predicted operation scene and the corresponding economic benefit, so as to complete the control mode switching of the energy storage system according to the target predictive control mode.
Specifically, the new energy station at the same time can simultaneously meet the standards of various operation scenes, and the energy storage system at the same time can possibly meet the standards of a plurality of control modes, so that after the predicted operation scene is determined, the economic benefit of the energy storage system can be optimized, and the control mode uniquely corresponding to the energy storage system at the time is determined; the number of predicted operation scenes corresponding to the target new energy station can be determined according to the predicted operation scenes, and if the number of predicted operation scenes is larger than 1, a target predicted control mode uniquely corresponding to the energy storage system in the target new energy station is determined according to the predicted operation scenes and the economic benefits corresponding to the predicted operation scenes; if the number of the predicted operation scenes is 1, the predicted control mode corresponding to the predicted operation scene may be used as the target predicted control mode. The economic benefit corresponding to the predicted operation scene can represent the economic benefit brought by the energy storage system participating in control when the new energy station is in the predicted operation scene.
In order to determine the predicted value of the active power instruction of the energy storage system while implementing the switching of the control mode, in an embodiment of the application, the method for switching the control mode of the energy storage system of the new energy station further includes:
step 400: and determining an active power instruction predicted value corresponding to the energy storage system according to the predicted operation scene and the economic benefit corresponding to the predicted operation scene.
Specifically, if the number of predicted operation scenes is greater than 1, determining an active power instruction predicted value corresponding to the energy storage system according to the predicted operation scenes and the economic benefits corresponding to the predicted operation scenes; if the number of the predicted operation scenes is 1, taking the discharge power corresponding to the energy storage system in the predicted operation scenes as an active power instruction predicted value corresponding to the energy storage system; the active power command predicted value may represent an active power command value corresponding to the energy storage system in a next data sampling period. The active power instruction predicted value and the target prediction control mode can be sent to an energy storage Energy Management System (EMS), and the EMS coordinates the output of each energy storage unit according to the upper-layer optimization result so as to meet the upper-layer control target. The economic benefit can represent the economic benefit brought by the energy storage system participating in control when the new energy station is in a predicted operation scene.
In order to improve the accuracy of determining the peak clipping and valley filling operation scenario and further improve the reliability of the control mode switching of the storage system, in an embodiment of the present application, the step 200 includes:
step 211: judging whether the predicted operation scene comprises a peak clipping and valley filling operation scene or not according to the following formula:
Figure BDA0003138830360000081
wherein ,I1For the judgment and representation of the operation scene of peak clipping and valley filling, 1 represents the coincidence scene characteristics, and 0 represents the non-coincidence;
Figure BDA0003138830360000091
is t-iT0Active power output of new energy at time, T0In order to be a period of data sampling,
Figure BDA0003138830360000092
is T- (N-1) T0The average value of the total new energy work from the moment to the current moment t, and N is the number of data sampling periods;
Figure BDA0003138830360000093
and issuing an instruction value to the target new energy station for scheduling at the current moment t.
Figure BDA0003138830360000094
Represented as the ith peak load period;
Figure BDA0003138830360000095
the mean value of the active output of the new energy in N periods is lower than a planned value issued by scheduling at the current moment;
Figure BDA0003138830360000096
represented as the ith trough load period;
Figure BDA0003138830360000097
and the total active average value of the new energy is higher than a planned value issued by scheduling.
Specifically, a peak clipping operation scene usually occurs at a peak load period, the load is large, the energy storage system discharges electricity, a valley filling operation scene usually occurs at a valley load period, the load is small, and the energy storage system charges electricity; n can be set according to actual needs, and the application is not limited to this; for a system, peak load periods are known in advance;
Figure BDA0003138830360000098
the peak shaving demand of the power grid can be represented, and the new energy station has an up-shaving space; for a system, the valley load period is known in advance; if the current time belongs to the load valley period and the total active power average value of the new energy is higher than the plan value issued by scheduling, the new energy station needs to abandon the electricity to meet the requirement of the power generation plan.
Step 212: and if the judgment representation value of the peak clipping and valley filling operation scene is 1, determining that the predicted operation scene comprises the peak clipping and valley filling operation scene.
In order to improve the accuracy of determining the operation scenario of the tracking plan and further improve the reliability of switching the control modes of the storage system, in an embodiment of the present application, the step 200 includes:
step 221: judging whether the predicted operation scene comprises a tracking plan operation scene or not according to the following formula:
Figure BDA0003138830360000099
Figure BDA00031388303600000910
Figure BDA00031388303600000911
Figure BDA0003138830360000101
wherein, gradτIs the grade climbing index at the time of tau,
Figure BDA0003138830360000102
the average value of the climbing indexes from the current time T to the (T + T) time is obtained; n is the length of the sliding window,
Figure BDA0003138830360000103
is t-kT0The active power output of the new energy at any moment; i is2For the judgment representation of tracking a planned operation scene, 1 represents the scene feature is met, and 0 represents the scene feature is not met; gradlimitA threshold value for a hill climbing event;
Figure BDA0003138830360000104
and issuing an instruction value to the new energy station for scheduling at the current moment t.
Step 222: and if the judgment representation value of the tracking plan operation scene is 1, determining that the predicted operation scene comprises the tracking plan operation scene.
Specifically, the judgment of the tracking plan operation scene can be carried out according to the instruction value at the current moment and the active predicted value of the new energy in the future control period. Determining future T + T using improved linear extrapolation0The power value within the time period. The method of modified linear extrapolation is as follows:
Figure BDA0003138830360000105
in the above formula, the first and second carbon atoms are,
Figure BDA0003138830360000106
t + T for conventional linear extrapolation0Predicted value of active output of new energy at moment, PtAlpha is T-T which is the active power output of the new energy at the current moment T0Rate of change of power to current time T, due to T0Is small and thus can be approximately considered
Figure BDA0003138830360000107
Because the precision of the conventional linear extrapolation method at the power inflection point is low, the result of the conventional linear extrapolation is corrected by adopting a moving average method, and the correction method is as follows:
Figure BDA0003138830360000108
repeating the above method n times to obtain t + nT0And (4) predicting the real-time active output of the new energy at the moment. Enabling T to be nT at current moment T0Average value of power change rate over time
Figure BDA0003138830360000109
As a criterion for a new energy climbing event, if
Figure BDA00031388303600001010
There is a hill climbing event. And determining an operation scene according to the climbing index, the power predicted value at the T + T moment and the power generation index value at the current moment.
In order to improve the accuracy of determining the smooth output operation scenario and further improve the reliability of switching the control modes of the storage system, in an embodiment of the present application, step 200 includes:
step 231: judging whether the predicted operation scene comprises a smooth output operation scene or not according to the following formula:
Figure BDA00031388303600001011
wherein ,
Figure BDA0003138830360000111
represents T- (N-1) T0The average value of the active output of the new energy at the current moment t; i is3For judging and representing a smooth output operation scene, 1 represents that the scene features are met, and 0 represents that the scene features are not met; ptActive power output of new energy at the current moment t;ΔPmaxis T0Maximum power deviation value of new energy allowed in time;
Figure BDA0003138830360000112
is NT0And accumulating the absolute value of the deviation of the new energy power allowed in time.
Specifically, a new energy active power output fluctuation index can be defined, and T- (N-1) T0Taking the average value of the active output of the new energy to the current time t as a reference value of the active output of the new energy in the time period; if the new energy active power output P at the current moment t is equal to
Figure BDA0003138830360000113
The absolute value of the deviation exceeding Δ PmaxOr T- (N-1) T0The accumulated power deviation to the current time t exceeds
Figure BDA0003138830360000114
It is determined that the energy storage system will enter a smooth output operating scenario.
Step 232: and if the judgment representation value of the smooth output operation scene is 1, determining that the predicted operation scene comprises the smooth output operation scene.
Because the electric wire netting is according to ACE index issue the secondary frequency modulation instruction, new forms of energy station can't judge whole electric wire netting ACE state according to the current running moment, based on this, in order to improve the accuracy of confirming electric wire netting frequency modulation operation scene, and then improve the reliability that storage system's control mode switches, adopts the frequency and the frequency change rate of the grid-connected point in the new forms of energy station as the criterion of electric wire netting frequency modulation operation scene, in this application embodiment, step 200 includes:
step 241: judging whether the predicted operation scene contains a power grid frequency modulation operation scene or not according to the following formula:
Figure BDA0003138830360000115
wherein ,I4For the judgment and representation of the power grid frequency modulation operation scene,1 indicates coincidence with scene features, and 0 indicates non-coincidence; Δ ftThe absolute value of the deviation between the current frequency of the power grid and 50 Hz; Δ fmaxMaximum power deviation allowed for the grid; df/dt is the frequency rate of change of the grid at the present time t,
Figure BDA0003138830360000116
the maximum power change rate allowed by the power grid.
Specifically,. DELTA.fmaxThe setting can be carried out according to the actual requirement, and the typical value can be 0.033 Hz; in order to avoid that the frequency variations cause calculation errors,
Figure BDA0003138830360000117
Figure BDA0003138830360000118
can be set according to actual needs, and the typical value is 1 Hz/s; if the frequency deviation at the current moment t is larger than delta fmaxOr a frequency change rate of more than
Figure BDA0003138830360000119
And meanwhile, determining that the energy storage system enters a power grid frequency modulation operation scene.
Step 242: and if the judgment representation value of the power grid frequency modulation operation scene is 1, determining that the predicted operation scene comprises a smooth output operation scene.
In order to realize flexible switching of the energy storage system between a plurality of control modes and simultaneously improve the overall output level of the new energy station, in an embodiment of the present application, step 300 includes:
according to the following formula, determining a predicted operation scene corresponding to an optimization target with the maximum value, and taking a predicted control mode corresponding to the predicted operation scene as the target predicted control mode to complete control mode switching of the energy storage system according to the target predicted control mode:
Figure BDA0003138830360000121
wherein ,IiRepresenting whether the operation scene i conforms to the scene characteristics; fi represents the economic benefit corresponding to the operation scene i; the optimization target maxF meets the following four constraints:
the energy storage system is in a unique control mode; the charge state of the energy storage system is between the preset upper limit and the preset lower limit; the charging and discharging electric quantity of the stored energy is limited by the rated capacity of the energy storage system; if the energy storage system is in a control mode, the operation time in the control mode is greater than the minimum time threshold.
That is to say, in the process of optimizing the target, four constraint conditions of energy storage state constraint, energy storage SOC constraint, energy storage output constraint and energy storage state conversion constraint are considered, and the four constraint conditions are as follows:
1) restraint of energy storage state
I1+I2+I3+I4≤1
wherein ,Ii(I ═ 1,2,3,4) is a function of 0 to 1, and represents whether the operation scene I conforms to the scene characteristics, and the constraint ensures that the energy storage system can be in only one control mode, if I is1～I4And if the voltage is 0, the energy storage system is in a shutdown state.
2) Energy storage SOC constraint
SOCmin≤SOCt≤SOCmax
The above equation indicates that the state of charge of the energy storage system is between specified upper and lower limits.
3) Energy storage output restraint
Figure BDA0003138830360000122
The above formula indicates that the charge and discharge capacity of the energy storage system is restricted by the rated capacity of the stored energy.
4) Control mode transition constraints
Figure BDA0003138830360000123
If the energy storage system is in a certain control mode, the mode can be switched when the running time of the control mode is required to be greater than or equal to the minimum time threshold, so that the frequent switching of the control mode of the energy storage system can be avoided.
Specifically, the economic benefit corresponding to peak clipping and valley filling is mainly the benefit of energy storage displacement electric quantity, and preferably, if the energy storage system is in a discharge state in the next data sampling period, the economic benefit of the energy storage system in the peak clipping and valley filling operation scene is obtained according to the following formula:
Figure BDA0003138830360000131
in the above formula eta1In order to achieve the discharge efficiency of the energy storage system,
Figure BDA0003138830360000132
for energy storage systems at t + kT0Discharge power at a time; if k is preset to 1, F1And in the next data sampling period, the economic benefit of the energy storage system in the peak clipping and valley filling operation scene is obtained.
Preferably, if the energy storage system is in a charging state in the next data sampling period, the economic benefit of the energy storage system in the peak clipping and valley filling operation scene is obtained according to the following formula:
Figure BDA0003138830360000133
in the above formula eta2In order to provide the charging efficiency of the energy storage system,
Figure BDA0003138830360000134
for energy storage systems at t + kT0The charging power at the moment can be determined according to power prediction and an energy storage state; if k is preset to 1, F1And in the next data sampling period, the economic benefit of the energy storage system in the peak clipping and valley filling operation scene is obtained.
The economic benefit of the tracking plan comprises two parts, wherein one part is the energy storage and discharge benefit in the current instruction period, the other part is the new energy power generation increasing amount brought by energy storage adjustment in the next instruction period, and preferably, the economic benefit of the energy storage system in the tracking plan operation scene is obtained based on the following formula:
Figure BDA0003138830360000135
in the above formula, the first and second carbon atoms are,
Figure BDA0003138830360000136
is t + kT0The active power of the new energy is output,
Figure BDA0003138830360000137
is the active power command value at the current time t; if k is preset to 1, F2And tracking the economic benefit of the energy storage system in the operation scene of the plan in the next data sampling period.
The smooth output has no economic benefit, but the output fluctuation of new energy can be prevented from exceeding the standard requirement through the smooth output, and the response assessment cost is reduced; preferably, the economic benefit of the energy storage system in the smooth output operation scene is obtained based on the following formula:
Figure BDA0003138830360000138
in the above formula, PtActive power output of new energy at the current moment t; delta PmaxIs T0Maximum power deviation value allowed in time;
Figure BDA0003138830360000139
is T- (N-1) T0The average value of the active output of the new energy at the current moment t; if k is preset to 1, F3And in the next data sampling period, the economic benefit of the energy storage system corresponding to the smooth output operation scene is obtained.
The economic benefit of the power grid frequency modulation is mainly compensation cost of secondary frequency modulation, and as an optimal selection, the economic benefit of the energy storage system in the power grid frequency modulation operation scene is obtained based on the following formula:
Figure BDA0003138830360000141
in the above formula, kpThe frequency modulation quality coefficient of the new energy station is obtained; d is a subsidy price of unit mileage and can be obtained in advance; if preset that k is equal to 1, F3 is the economic benefit of the energy storage system corresponding to the smooth output operation scenario in the next data sampling period.
Therefore, when k is 1, maxF value can be maximally associated with
Figure BDA0003138830360000142
As active power command prediction values
Figure BDA0003138830360000143
And taking the corresponding control mode as a target test control mode.
To further explain the scheme, the application provides an application example of a control mode switching method for an energy storage system of a wind and light energy storage station, which is specifically described as follows:
and (3) selecting actual operation data of a certain day for analysis, wherein the maximum output of the new energy is 438MW, the minimum output of the new energy is 23MW, the peak-valley difference of the output is large, and the active output of the new energy operating in the time period of 12:00-17:00 fluctuates violently. As shown in particular in figure 3.
According to the key characteristics of each scene, the control mode of the energy storage system of the wind and light power storage station is analyzed, and the operation scene in each time period is analyzed according to the priority and the optimization target of each scene, and the result is shown in fig. 4.
And dividing operation scenes according to the new energy output at different time intervals. In the time period of intense fluctuation of the new energy output, the new energy output is smoothed by utilizing the stored energy; tracking a power generation plan by utilizing energy storage at a time period when the output of the new energy is greatly reduced; reserving the stored energy for standby at 3:00-7:00 and 18:30-24: 00; and in other time periods, peak clipping and valley filling are carried out by utilizing the stored energy.
Through the combined operation of the stored energy and the new energy, a wind-solar energy storage output change curve after the stored energy participates in adjustment is obtained as shown in fig. 5, A represents an original active curve of the new energy, B represents a new energy and stored energy combined active curve, and the result shows that the active power of the wind-solar energy storage combined output is slightly reduced at the peak clipping and valley filling stage of 0:00-3: 00; energy storage standby time periods of 3:00-7:00 and 18:30-24:00 and initial stages of tracking planned output of 9:20-10:30, wherein wind storage combined output is maintained at the same level before optimization; 7:00-9:20 peak clipping and valley filling stages, 10:30-12:20 tracking planned output later stages and smooth output stages, wherein the income of the wind storage complex is continuously increased compared with that before optimization; in the period of 12:20-17:30 severe fluctuation of wind power output, the increase and decrease amplitude of the united body power is changed continuously, and the active power is increased by 215MW in the period. Through energy storage optimization configuration under different operation scenes, 3015MW is increased before one-day wind storage complex power output of the wind and light storage base is optimized, and the overall power output level of the wind and light storage base can be remarkably improved.
In terms of software, in order to realize flexible switching of the energy storage system among a plurality of control modes and improve the total output level of new energy, the present application provides an embodiment of a control mode switching device of the energy storage system of the new energy station, which is used for realizing all or part of the contents in the control mode switching method of the energy storage system of the new energy station, and with reference to fig. 6, the control mode switching device of the energy storage system of the new energy station specifically includes the following contents:
the acquiring module 10 is used for acquiring the active power output of the new energy of the target new energy station;
the scene division module 20 is configured to determine a predicted operation scene of the target new energy station according to the new energy active power output and a preset operation scene judgment basis;
and the control mode switching module 30 is configured to determine, according to the predicted operation scenario and the economic benefit corresponding to the predicted operation scenario, a target predicted control mode uniquely corresponding to the energy storage system in the target new energy station, so as to complete control mode switching of the energy storage system according to the target predicted control mode.
The embodiment of the control mode switching device of the energy storage system of the new energy station provided in this specification may be specifically configured to execute the processing procedure of the embodiment of the control mode switching method of the energy storage system of the new energy station, and the functions of the control mode switching device are not described herein again, and reference may be made to the detailed description of the embodiment of the control mode switching method of the energy storage system of the new energy station.
According to the description, the control mode switching method and the control mode switching device for the energy storage system of the new energy station can realize flexible switching of the energy storage system of the new energy station among a plurality of control modes and can improve the overall output level of the new energy station; specifically, optimization of various predicted operation scenes can be achieved, accuracy of control mode switching is improved, meanwhile, automation degree of control mode switching of the energy storage system of the new energy station can be improved, and labor cost is saved.
In terms of hardware, in order to implement flexible switching of the energy storage system between multiple control modes and improve the total output level of new energy, the present application provides an embodiment of an electronic device for implementing all or part of contents in a control mode switching method of an energy storage system of a new energy station, where the electronic device specifically includes the following contents:
a processor (processor), a memory (memory), a communication Interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the communication interface is used for realizing information transmission between the control mode switching device of the energy storage system of the new energy station and the user terminal and other related equipment; the electronic device may be a desktop computer, a tablet computer, a mobile terminal, and the like, but the embodiment is not limited thereto. In this embodiment, the electronic device may be implemented with reference to the embodiment of the method for implementing switching of the control mode of the energy storage system of the new energy station and the embodiment of the device for implementing switching of the control mode of the energy storage system of the new energy station in the embodiments, and the contents thereof are incorporated herein, and repeated details are not repeated here.
Fig. 7 is a schematic block diagram of a system configuration of an electronic device 9600 according to an embodiment of the present application. As shown in fig. 7, the electronic device 9600 can include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this fig. 7 is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.
In one or more embodiments of the present application, the control mode switching function of the new energy station energy storage system may be integrated into the central processor 9100. The central processor 9100 may be configured to control as follows: acquiring the active power output of new energy of a target new energy station; determining a predicted operation scene of the target new energy station according to the active power output of the new energy and a preset operation scene judgment basis; and determining a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station according to the predicted operation scene and the corresponding economic benefit, so as to complete the control mode switching of the energy storage system according to the target predictive control mode.
As can be seen from the above description, the electronic device provided in the embodiments of the present application can implement flexible switching of the energy storage system of the new energy station between multiple control modes, and simultaneously improve the total output level of the new energy.
In another embodiment, the control mode switching device of the new energy station energy storage system may be configured separately from the central processor 9100, for example, the control mode switching device of the new energy station energy storage system may be configured as a chip connected to the central processor 9100, and the control mode switching function of the new energy station energy storage system is realized through the control of the central processor.
As shown in fig. 7, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 also does not necessarily include all of the components shown in fig. 7; further, the electronic device 9600 may further include components not shown in fig. 7, which may be referred to in the art.
As shown in fig. 7, a central processor 9100, sometimes referred to as a controller or operational control, can include a microprocessor or other processor device and/or logic device, which central processor 9100 receives input and controls the operation of the various components of the electronic device 9600.
The memory 9140 can be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 9100 can execute the program stored in the memory 9140 to realize information storage or processing, or the like.
The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. Power supply 9170 is used to provide power to electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, an LCD display, but is not limited thereto.
The memory 9140 can be a solid state memory, e.g., Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 9140 could also be some other type of device. Memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 being used for storing application programs and function programs or for executing a flow of operations of the electronic device 9600 by the central processor 9100.
The memory 9140 can also include a data store 9143, the data store 9143 being used to store data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers for the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, contact book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing ordinary telecommunications functions. The audio processor 9130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100, thereby enabling recording locally through the microphone 9132 and enabling locally stored sounds to be played through the speaker 9131.
As can be seen from the above description, the electronic device provided in the embodiments of the present application can implement flexible switching of the new energy station energy storage system between multiple control modes, and simultaneously improve the total output level of the new energy.
An embodiment of the present application further provides a computer-readable storage medium capable of implementing all the steps in the control mode switching method of the new energy station energy storage system in the foregoing embodiment, where the computer-readable storage medium stores thereon a computer program, and the computer program, when executed by a processor, implements all the steps in the control mode switching method of the new energy station energy storage system in the foregoing embodiment, for example, when the processor executes the computer program, implements the following steps: acquiring the active power output of new energy of a target new energy station; determining a predicted operation scene of the target new energy station according to the active power output of the new energy and a preset operation scene judgment basis; and determining a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station according to the predicted operation scene and the corresponding economic benefit, so as to complete the control mode switching of the energy storage system according to the target predictive control mode.
As can be seen from the foregoing description, the computer-readable storage medium provided in the embodiments of the present application can implement flexible switching between multiple control modes of the energy storage system of the new energy station, and simultaneously improve the total output level of the new energy.
In the present application, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. Reference is made to the description of the method embodiments.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
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.
The principle and the implementation mode of the present application are explained by applying specific embodiments in the present application, and the description of the above embodiments is only used to help understanding the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (16)

1. A control mode switching method of an energy storage system of a new energy station is characterized by comprising the following steps:
acquiring the active power output of new energy of a target new energy station;
determining a predicted operation scene of the target new energy station according to the active power output of the new energy and a preset operation scene judgment basis;
and determining a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station according to the predicted operation scene and the corresponding economic benefit, so as to complete the control mode switching of the energy storage system according to the target predictive control mode.
2. The control mode switching method of the new energy station energy storage system of claim 1, the predicted operational scenario comprising: and at least one of peak clipping and valley filling, tracking plan, smooth output and power grid frequency modulation operation scene.
3. The control mode switching method for the energy storage system of the new energy station according to claim 1, further comprising:
and determining an active power instruction predicted value corresponding to the energy storage system according to the predicted operation scene and the economic benefit corresponding to the predicted operation scene.
4. The method for switching the control mode of the energy storage system of the new energy station according to claim 1, wherein the determining the predicted operation scenario of the target new energy station according to the new energy active power output and a preset operation scenario judgment basis comprises:
judging whether the predicted operation scene comprises a peak clipping and valley filling operation scene or not according to the following formula:
Figure FDA0003138830350000011
wherein ,I1For the judgment and representation of the operation scene of peak clipping and valley filling, 1 represents the coincidence scene characteristics, and 0 represents the non-coincidence;
Figure FDA0003138830350000012
is t-iT0Active power output of new energy at time, T0In order to be a period of data sampling,
Figure FDA0003138830350000013
is T- (N-1) T0The average value of the total new energy work from the moment to the current moment t, wherein N is the number of statistical periods; pt limitDispatching and issuing an instruction value to the target new energy station for the current time t; t isi peakRepresented as the ith peak load period;
Figure FDA0003138830350000014
the mean value of the active output of the new energy in N periods is lower than a planned value issued by scheduling at the current moment; t isi valRepresented as the ith trough load period;
Figure FDA0003138830350000021
the current time belongs to the load valley period and the total active average value of the new energy is higher than a planned value issued by scheduling;
and if the judgment representation value of the peak clipping and valley filling operation scene is 1, determining that the predicted operation scene comprises the peak clipping and valley filling operation scene.
5. The method for switching the control mode of the energy storage system of the new energy station according to claim 1, wherein the determining the predicted operation scenario of the target new energy station according to the new energy active power output and a preset operation scenario judgment basis comprises:
judging whether the predicted operation scene comprises a tracking plan operation scene or not according to the following formula:
Figure FDA0003138830350000022
Figure FDA0003138830350000023
Figure FDA0003138830350000024
Figure FDA0003138830350000025
wherein, gradτIs the grade climbing index at the time of tau,
Figure FDA0003138830350000026
the average value of the climbing indexes from the current time T to the (T + T) time is obtained; n is the length of the sliding window,
Figure FDA0003138830350000027
is t-kT0The active power output of the new energy at any moment; i is2For the judgment representation of tracking a planned operation scene, 1 represents the scene feature is met, and 0 represents the scene feature is not met; gradlimitA threshold value for a hill climbing event; pt limitDispatching and issuing an instruction value to the new energy station for the current time t;
and if the judgment representation value of the tracking plan operation scene is 1, determining that the predicted operation scene comprises the tracking plan operation scene.
6. The method for switching the control mode of the energy storage system of the new energy station according to claim 1, wherein the determining the predicted operation scenario of the target new energy station according to the new energy active power output and a preset operation scenario judgment basis comprises:
judging whether the predicted operation scene comprises a smooth output operation scene or not according to the following formula:
Figure FDA0003138830350000028
wherein ,
Figure FDA0003138830350000031
represents T- (N-1) T0The average value of the active output of the new energy at the current moment t; i is3For judging and representing a smooth output operation scene, 1 represents that the scene features are met, and 0 represents that the scene features are not met; ptActive power output of new energy at the current moment t; delta PmaxIs T0Maximum power deviation value of new energy allowed in time;
Figure FDA0003138830350000032
is NT0The accumulated value of the absolute value of the new energy power deviation allowed in time;
and if the judgment representation value of the smooth output operation scene is 1, determining that the predicted operation scene comprises the smooth output operation scene.
7. The method for switching the control mode of the energy storage system of the new energy station according to claim 1, wherein the determining the predicted operation scenario of the target new energy station according to the new energy active power output and a preset operation scenario judgment basis comprises:
judging whether the predicted operation scene contains a power grid frequency modulation operation scene or not according to the following formula:
Figure FDA0003138830350000033
wherein ,I4The judgment of the power grid frequency modulation operation scene shows that 1 shows that the scene is in accordance with the characteristics of the scene, and 0 shows that the scene is not in accordance with the characteristics of the scene; Δ ftThe absolute value of the deviation between the current frequency of the power grid and 50 Hz; Δ fmaxMaximum power deviation allowed for the grid; df/dt is the frequency rate of change of the grid at the present time t,
Figure FDA0003138830350000034
the maximum power change rate allowed by the power grid;
and if the judgment representation value of the power grid frequency modulation operation scene is 1, determining that the predicted operation scene comprises a smooth output operation scene.
8. The method for switching the control modes of the energy storage system of the new energy station according to claim 1, wherein the step of determining a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station according to the predicted operation scenario and the economic benefit corresponding to the predicted operation scenario so as to complete the switching of the control modes of the energy storage system according to the target predictive control mode comprises the following steps:
according to the following formula, determining a predicted operation scene corresponding to an optimization target with the maximum value, and taking a predicted control mode corresponding to the predicted operation scene as the target predicted control mode to complete control mode switching of the energy storage system according to the target predicted control mode:
Figure FDA0003138830350000035
wherein ,IiRepresenting whether the operation scene i conforms to the scene characteristics; fi represents the economic benefit corresponding to the operation scene i; the optimization target maxF meets the following four constraints:
the energy storage system is in a unique control mode; the charge state of the energy storage system is between the preset upper limit and the preset lower limit; the charging and discharging electric quantity of the stored energy is limited by the rated capacity of the energy storage system; if the energy storage system is in a control mode, the operation time in the control mode is greater than the minimum time threshold.
9. The method for switching the control mode of the energy storage system of the new energy station according to claim 2, wherein if the energy storage system is in a discharge state in a next data sampling period, the economic benefit of the energy storage system in the peak clipping and valley filling operation scene is obtained according to the following formula:
Figure FDA0003138830350000041
wherein ,η1In order to achieve the discharge efficiency of the energy storage system,
Figure FDA0003138830350000042
for energy storage systems at t + kT0Discharge power at the moment.
10. The method for switching the control mode of the energy storage system of the new energy station according to claim 2, wherein if the energy storage system is in a charging state in a next data sampling period, the economic benefit of the energy storage system in the peak clipping and valley filling operation scene is obtained according to the following formula:
Figure FDA0003138830350000043
wherein ,η2In order to provide the charging efficiency of the energy storage system,
Figure FDA0003138830350000044
for energy storage systems at t + kT0The charging power at the moment.
11. The control mode switching method for the energy storage system of the new energy station according to claim 2, wherein the economic benefit of the energy storage system in the tracking plan operation scene is obtained based on the following formula:
Figure FDA0003138830350000045
wherein ,
Figure FDA0003138830350000046
is t + kT0Active power output of new energy, Pt limitIs the active power command value at the current time t.
12. The control mode switching method for the energy storage system of the new energy station according to claim 2, wherein the economic benefit of the energy storage system in the smooth output operation scene is obtained based on the following formula:
Figure FDA0003138830350000047
wherein ,PtActive power output of new energy at the current moment t; delta PmaxIs T0Maximum power deviation value allowed in time;
Figure FDA0003138830350000048
is T- (N-1) T0And (4) averaging the active output of the new energy at the current moment t.
13. The control mode switching method for the energy storage system of the new energy station according to claim 2, wherein the economic benefit of the energy storage system in the grid frequency modulation operation scene is obtained based on the following formula:
Figure FDA0003138830350000051
wherein ,kpThe frequency modulation quality coefficient of the new energy station is obtained; d is the subsidy price of unit mileage.
14. The utility model provides a control mode auto-change over device of new forms of energy station energy storage system which characterized in that includes:
the acquisition module is used for acquiring the active power output of the new energy of the target new energy station;
the scene division module is used for determining a predicted operation scene of the target new energy station according to the new energy active power output and a preset operation scene judgment basis;
and the control mode switching module is used for determining a target predictive control mode uniquely corresponding to the energy storage system in the target new energy station according to the predictive operation scene and the economic benefit corresponding to the predictive operation scene so as to complete the control mode switching of the energy storage system according to the target predictive control mode.
15. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for controlling mode switching of the energy storage system of a new energy station according to any one of claims 1 to 13 when executing the program.
16. A computer readable storage medium having stored thereon computer instructions, wherein the instructions when executed implement the method of switching control modes of a new energy station energy storage system according to any one of claims 1 to 13.
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