CN113541173A - Battery energy storage system cluster control device and control method under weak power grid condition - Google Patents
Battery energy storage system cluster control device and control method under weak power grid condition Download PDFInfo
- Publication number
- CN113541173A CN113541173A CN202110761141.5A CN202110761141A CN113541173A CN 113541173 A CN113541173 A CN 113541173A CN 202110761141 A CN202110761141 A CN 202110761141A CN 113541173 A CN113541173 A CN 113541173A
- Authority
- CN
- China
- Prior art keywords
- pcs
- signal
- control algorithm
- energy storage
- storage system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
-
- 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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/388—Islanding, i.e. disconnection of local power supply from the network
-
- 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
- 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
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
-
- 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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/10—Flexible AC transmission systems [FACTS]
-
- 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
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to the technical field of large-scale battery energy storage systems and smart grid application, and discloses a battery energy storage system cluster control device and a control method under weak grid conditions, wherein the control device comprises the following steps: the system comprises a multifunctional power meter module, a factory level control algorithm module, a converter PCS power distribution module, a PCS virtual synchronous control algorithm module and a Profinet communication module. The cluster control device and the cluster control method for the battery energy storage system under the condition of the weak power grid realize the power distribution function between the energy storage converters PCS based on the setting and control algorithm of the working mode, solve the problems of stable and reliable operation of a large-scale energy storage system under the condition of the weak power grid with low short-circuit capacity, realize that the energy storage system has the power control characteristic similar to that of a traditional synchronous generator power plant at a high-voltage bus connection point (PoC), realize the seamless switching between grid-connected operation and island operation, provide the virtual inertia stable frequency change rate for the power grid, and realize the active rapid supporting function of the transient frequency voltage of the photovoltaic/wind power plant.
Description
Technical Field
The invention relates to the technical field of large-scale battery energy storage systems and smart grid application, in particular to a battery energy storage system cluster control device and a control method under the condition of a weak grid.
Background
Photovoltaic and wind power generation are grid-connected by adopting a power electronic inverter technology, and the power output of the photovoltaic and wind power generation has the characteristic of intermittent fluctuation, so that a certain regional power grid or micro-grid becomes a weak power grid system due to the access of high-proportion new energy.
The large-scale battery energy storage system formed based on the battery and power electronic grid-connected inverter (energy storage converter) technology is one of important technical means for promoting the spanning development of new energy, improving the new energy consumption capability and constructing a novel power system taking new energy as a main body by virtue of the technical advantages of flexible installation and arrangement, quick power response time, high control precision and the like.
The conventional battery energy storage system generally adopts an energy storage converter (PCS) to follow the control technology of the voltage and the phase of a power grid and is connected to the power grid in a current source power generation system working mode, the power grid in the conventional battery energy storage system needs to have enough capacity and system strength to ensure that the energy storage converter PCS can operate reliably and stably, and the farther the energy storage system is arranged away from a power plant of a conventional synchronous generator set, the higher the permeability is, the more likely the electric energy output voltage waveform is influenced by network interference and the working mode of the PCS.
Under the condition of a weak power grid, the frequency and voltage stability control technology of a power system is greatly different from that of the traditional large power grid, the control device and the control method of the conventional battery energy storage system are difficult to ensure that the energy storage converter works stably under the condition of interference and fault of the power grid, and the function and the characteristic that the energy storage battery system provides inhibition and regulation for the frequency change rate of the power grid by means of mechanical rotation inertia of the energy storage battery system like the traditional synchronous generator system are not realized.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a cluster control device and a control method for a battery energy storage system under the condition of a weak power grid, which have the advantages of providing virtual inertia stable frequency change rate for the power grid, realizing the active rapid supporting function of transient frequency voltage of a photovoltaic/wind power plant, seamlessly switching between grid-connected operation and isolated island operation, and solving the problem of stable and reliable operation of a large-scale energy storage system under the condition of the weak power grid with low short-circuit capacity.
The invention provides the following technical scheme: a device for controlling a cluster of battery energy storage systems under weak grid conditions, comprising:
the multifunctional power meter module is used for outputting UAct, Fact, Pact and QACT signals;
the factory level control algorithm module is used for receiving the signal output by the multifunctional power meter module, calculating and outputting Pext and Qext signals according to the received signal, Pref, Qref and Fref;
the converter PCS power distribution module is used for receiving the Pext and Qext signals of the factory layer control algorithm module and distributing PCS _ Pset and PCS _ Qset signals according to the capacity residual value SoC of each independent battery energy storage system;
the PCS virtual synchronous control algorithm module is used for receiving PCS _ Pset and PCS _ Qset signals output by the converter PCS power distribution module and outputting PCS _ Vsup signals and PCS _ Fsup signals according to the received signals;
a Profinet communication module; the PCS virtual synchronous control algorithm module is used for receiving signals output by the PCS virtual synchronous control algorithm module and feeding back PCS _ Delta _ F, PCS _ Pact and PCS _ QACT signals to the PCS virtual synchronous control algorithm module.
Preferably, the number of the PCS virtual synchronous control algorithm modules is 200, and the converter PCS power distribution module inputs the output PCS _ Pset and PCS _ Qset signals into the corresponding PCS virtual synchronous control algorithm modules.
Preferably, the factory level control algorithm module is composed of an active power algorithm submodule and a reactive power control algorithm submodule.
Preferably, an active power algorithm submodule in the factory level control algorithm module compares the obtained Fact signal with the Pref signal, and performs frequency droop characteristic control on the compared signals, the active power algorithm submodule filters the obtained Pact signal, compares the signal after the frequency droop characteristic control, the filtered signal and the Pref signal to obtain a new signal, and sequentially passes through a frequency deviation amplitude limit, an active power proportional-integral controller, an active power set value amplitude limit and an active power control first-order lag to obtain a Pext signal.
Preferably, the reactive power control algorithm submodule in the plant level control algorithm module filters the obtained QAct signal, compares the filtered signal with the Qref signal to obtain a new signal, and the obtained new signal is subjected to reactive power deviation dead zone characteristic control, a reactive power proportional-integral controller, reactive power set value amplitude limiting and reactive power control lead-lag to obtain a Qext signal to be output.
Preferably, the function implementation method of the converter PCS power distribution module is as follows:
preferably, the PCS virtual synchronous control algorithm module consists of an active power control algorithm submodule and a reactive power control algorithm submodule.
Preferably, an active power control algorithm submodule in the PCS virtual synchronous control algorithm module obtains a first signal by damping control of a received PCS _ Delta _ F signal through a PCS virtual speed regulator, the active power control algorithm submodule obtains a second signal by droop characteristic control of the received PCS _ Delta _ F signal through the PCS virtual speed regulator, the second signal is compared with a PCS _ Pset signal, the compared signal is subjected to deviation and amplitude limitation of PCS virtual speed regulator and PCS active power to obtain a third signal, the active power control algorithm submodule obtains a fourth signal by filtering the PCS _ Pact signal, the first signal, the third signal and the fourth signal are compared to obtain a fifth signal, and the fifth signal is subjected to PCS virtual synchronous active power proportional-integral control and PCS additional frequency set value amplitude limitation to obtain a PCS _ Fsup signal.
Preferably, a reactive power control algorithm submodule in the PCS virtual synchronous control algorithm module compares the received PCS _ Qset signal with the filtered PCS _ QAct signal, and the compared signal is subjected to PCS virtual synchronous reactive power proportional-integral control and PCS additional voltage set value amplitude limitation to obtain a PCS _ Vsup signal.
A control method of a battery energy storage system cluster control device under a weak grid condition is provided, according to any one of the above battery energy storage system cluster control devices under the weak grid condition, and comprises the following steps:
the method comprises the following steps: the device is connected with a large-scale battery energy storage system power grid system structure, and the energy storage system converter PCS works in an independent V/F control voltage source working mode;
step two: the multifunctional power meter module in the device measures and inputs measured UAct, Fact, Pact and QACT signals into a factory level control algorithm module;
step three: the factory layer control algorithm module distributes PCS _ Pset and PCS _ Qset signals to the virtual synchronous control algorithm module according to the received signals and the capacity residual value SoC of each independent battery energy storage system;
step four: the Profinet communication module receives PCS _ Pset and PCS _ Qset signals and feeds back PCS _ Delta _ F, PCS _ Pact and PCS _ Qact signals to the PCS virtual synchronous control algorithm module.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the battery energy storage system cluster control device and the control method under the condition of the weak power grid, the energy storage converter works in a voltage source working mode, power control of the energy storage system under the working mode is achieved through a control algorithm, and the energy storage system has the power control characteristic similar to that of a traditional synchronous generator power plant at a high-voltage bus connection point (PoC) through a related transfer function set in the algorithm.
2. The device and the method for controlling the battery energy storage system cluster under the condition of the weak power grid realize the power distribution function among the energy storage converters PCS based on the setting and the control algorithm of the working mode, solve the problems of stable and reliable operation of a large-scale energy storage system under the condition of the weak power grid with low short-circuit capacity, realize seamless switching between grid-connected operation and island operation, provide virtual inertia stable frequency change rate for the power grid, and realize the active rapid supporting function of transient frequency voltage of a photovoltaic/wind power plant.
Drawings
Fig. 1 is a structure diagram of a power grid system of a large-scale battery energy storage system and an interface schematic diagram of a control device provided by the invention and connected with the control device;
FIG. 2 is a factory level control algorithm module: an active power control algorithm submodule functional diagram and a transfer function representation diagram;
FIG. 3 is a factory level control algorithm module: a reactive power control algorithm submodule functional diagram and a transfer function representation diagram;
FIG. 4 is a virtual synchronization control algorithm module: a functional diagram and a transfer function schematic diagram of sub-modules of an active power control algorithm;
FIG. 5 is a virtual synchronization control algorithm module: and a reactive power control algorithm submodule functional diagram and a transfer function schematic diagram.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
Referring to fig. 1-5, a battery energy storage system cluster control device under weak grid conditions includes:
the multifunctional electric power meter module is used for outputting UAct, Fact, Pact and QACT signals, wherein the UAct signals represent voltage measured in real time at the high-voltage grid-connected point PoC, the unit is V, the Fact signals represent frequency measured in real time at the high-voltage grid-connected point PoC, the unit is HZ, the Pact signals represent active power measured in real time at the high-voltage grid-connected point PoC, the unit is KW, the QACT signals represent reactive power measured in real time at the high-voltage grid-connected point PoC, and the unit is kVar;
and the factory level control algorithm module is used for receiving the signal output by the multifunctional power meter module, calculating and outputting a Pext signal and a Qext signal according to the received signal and Pref, Qref and Fref, wherein the Pref signal represents a set value of active power control at the PoC (Point of connection) point, the unit is kW, the Qref signal represents a set value of reactive power control at the PoC point of connection, the unit is kVar, and the Fref signal represents a frequency reference set value, the unit is: hz, the default value is 50Hz, the Pext signal is the system active power control set value which is output after being calculated by the factory layer control algorithm module, and the Qext signal is the system reactive power control set value which is output after being calculated by the factory layer control algorithm module;
the converter PCS power distribution module is used for receiving Pext and Qext signals of the factory layer control algorithm module and distributing PCS _ Pset and PCS _ Qset signals according to the capacity residual value SoC of each independent battery energy storage system, wherein the PCS _ Pset represents an active power set value of the energy storage converter PCS, and the PCS _ Qset represents a reactive power set value of the energy storage converter PCS;
the PCS virtual synchronous control algorithm module is used for receiving PCS _ Pset and PCS _ Qset signals output by the converter PCS power distribution module and outputting a PCS _ Vsup signal and a PCS _ Fsup signal according to the received signals, wherein the PCS _ Vsup signal represents an additional voltage set value of the energy storage converter PCS, and the PCS _ Fsup signal represents an additional frequency set value of the energy storage converter PCS;
a Profinet communication module; the system is used for receiving a signal output by the PCS virtual synchronous control algorithm module and feeding back PCS _ Delta _ F, PCS _ Pact and PCS _ QACT signals to the PCS virtual synchronous control algorithm module, wherein the PCS _ Delta _ F signal represents the variation of an output frequency actual value and a set frequency value of the energy storage converter PCS, the PCS _ Pact signal represents an output active power actual value of the energy storage converter PCS, the PCS _ QACT signal represents an output reactive power actual value of the energy storage converter PCS, the Profinet communication module supports an industrial Ethernet Profinet IRT isochronous communication protocol, and IRT updating time: 125 us.
The number of the PCS virtual synchronous control algorithm modules is 200, and the converter PCS power distribution module inputs the output PCS _ Pset and PCS _ Qset signals into the corresponding PCS virtual synchronous control algorithm modules.
The factory layer control algorithm module consists of an active power algorithm submodule and a reactive power control algorithm submodule.
The function realization method of the converter PCS power distribution module comprises the following steps:
the PCS virtual synchronous control algorithm module consists of an active power control algorithm submodule and a reactive power control algorithm submodule.
A control method of a battery energy storage system cluster control device under the condition of weak power grid comprises the following steps:
the method comprises the following steps: the device is connected with a large-scale battery energy storage system power grid system structure, and the energy storage system converter PCS works in an independent V/F control voltage source working mode;
step two: the multifunctional power meter module in the device measures and inputs measured UAct, Fact, Pact and QACT signals into a factory level control algorithm module;
step three: the factory layer control algorithm module distributes PCS _ Pset and PCS _ Qset signals to the virtual synchronous control algorithm module according to the received signals and the capacity residual value SoC of each independent battery energy storage system;
step four: the Profinet communication module receives PCS _ Pset and PCS _ Qset signals and feeds back PCS _ Delta _ F, PCS _ Pact and PCS _ Qact signals to the PCS virtual synchronous control algorithm module.
Fig. 1 shows a structure diagram of a power grid system of a large-scale battery energy storage system and an interface to which a control device according to the present invention is connected, in the figure, the device measures the voltage and current at the PoC connecting point of a 110kv section bus in a weak power grid, the current voltage in the 110kv section bus flows into a 35kv section bus through a high-voltage transformer, the current and voltage in the 35kv bus bar respectively flow into the battery energy storage system, the current and voltage in the battery energy storage system sequentially passes through the step-up transformer, the energy storage converter, the battery and the BMS and then enters into the ESS Profinet communication module, the signal in the ESS Profinet communication module is input into the Profinet communication module in the device through the optical fiber cable, the rated frequency of the weak power grid is 50HZ, the PLC control module selects Siemens S7-1518 PLC Open ODK controller, C/C + + code and Matlab/Simulink model algorithm programs can be executed; bit operation time: 1 ns; loading a memory: 32 GB; a working memory storage area: 512 MB; PROFINET IRT isochronous communication interface: 4, the number of the channels is 4; the controller executes a cycle: 1 ms; number of Profinet sub-device connections: 256 of the above-mentioned materials.
Fig. 2 shows a functional diagram and a transfer function of an active power control algorithm submodule in a plant-level control algorithm module, in which the active power algorithm submodule in the plant-level control algorithm module compares the obtained Fact and Pref signals and performs frequency droop characteristic control on the compared signals, the active power algorithm submodule filters the obtained Pact signal, the signal after frequency droop characteristic control, the filtered signal and the Pref signal are compared to obtain a new signal, the obtained signal is sequentially subjected to frequency deviation amplitude limiting, an active power proportional integral controller, active power set value amplitude limiting and power control first-order lag to obtain a Pext signal, S0 in the diagram is a plant-level active power-frequency droop characteristic control function including a dead zone characteristic, fdb1 and fdb2 frequency dead zone values, setting fdb 1-fdb 2-0.01; dup and Ddn are adjustable droop characteristic slopes, Dup Ddn is set to 0.02; DMax and DMin are output amplitude limiting values, wherein DMax is 10 percent, and DMin is-10 percent; s1 is an active power measurement filtering function, and T4 is a filtering time constant, where T4 is set to 0.25S; s2 is a frequency deviation amplitude limiting function, and the Femax frequency deviation upper limit limiting value is set to 10%; setting Femin as-10% for the lower limit of Femin frequency deviation; s3 is an active power proportional-integral controller function, Kpg proportional gain, set Kpg to 0.1; kig integral gain, set Kig-0.05; s4 is an active power set value limiting function, Pmax active power upper limit limiting value is set, and Pmax is set to be 200%; setting Pmin as-200% as the lower limit of active power; s5 is an active power control first-order lag function, and T5 is a lag time constant, where T5 is set to 0.15S.
FIG. 3 shows the plant level control algorithm module: in the figure, a reactive power control algorithm submodule in a factory level control algorithm module filters an obtained QACT signal, compares the filtered signal with a Qref signal to obtain a new signal, and the obtained new signal is subjected to reactive power deviation dead zone characteristic control, a reactive power proportion integral controller, reactive power set value amplitude limitation and reactive power control lead-lag to obtain a Qext signal required to be output, S6 is a reactive power measurement filtering function, a T1 filtering time constant is set to be T1 to be 0.02S; s7 is a reactive power deviation dead zone characteristic control function, and db1 and db2 are dead zone values, and db1 is set to db2 is set to 0.01; s8 is a reactive power proportional-integral controller function, and the Kp proportional gain is set to be 5; ki integral gain, setting Ki to 10; s9 is the reactive power set value limiting function, Qmax has no power upper limit limiting value, and Qmax is set to be 43.6%; setting a Qmin-43.6% lower limit value of reactive power of Qmin; s10 is a reactive power control lead-lag function, T2 leads a filtering time constant, and T2 is set to be 0.02S; t3 lags the filter time constant, setting T3 to 0.15 s.
FIG. 4 shows a virtual synchronization control algorithm module: in the figure, an active power control algorithm submodule in a PCS virtual synchronous control algorithm module obtains a first signal by damping control of a PCS virtual speed regulator on a received PCS _ Delta _ F signal, the active power control algorithm submodule obtains a second signal by controlling the droop characteristic of the PCS virtual speed regulator on the received PCS _ Delta _ F signal, compares the second signal with a PCS _ Pset signal, passes the compared signal through the PCS virtual speed regulator and PCS active power deviation amplitude limitation to obtain a third signal, the active power control algorithm submodule obtains a fourth signal by filtering the PCS _ Pact signal, compares the first signal, the third signal and the fourth signal to obtain a fifth signal, and obtains a _ Fsup signal by passing the fifth signal through PCS virtual synchronous active power proportional-integral control and PCS additional frequency set value amplitude limitation, in the figure, S11 is a droop characteristic control function of the PCS virtual speed regulator, R is a droop characteristic system, and R is set to be 5%; s12 is a PCS virtual speed regulator function, and the Tg speed regulator time constant is set to be 0.25S; s13 is a damping control function of the PCS virtual speed regulator, KD is a damping system, and KD is set to be 0.75; s14 is a PCS active power deviation limit function, Pmax deviation upper limit is limited, and Pmax is set to 120%; limiting the lower limit of the Pmin deviation, and setting the Pmin to-120%; s15 is a PCS virtual synchronous active power proportional-integral control function, PKp proportional gain, set Kpg to 0.04; PKi integral gain, setting PKi 0.04; s16 is a PCS additional frequency set value limiting function, SFmax is added with a frequency upper limit limiting value, and SFmax is set to be 20%; adding an SFmin lower limit value, and setting the SFmin to be-20%; s17 is a low-pass filtering function of the actual value of the PCS active power, z is a damping ratio, and z is set to be 0.707; w is the characteristic frequency, and w is set to 5.
FIG. 5 shows a virtual synchronization control algorithm module: a reactive power control algorithm submodule functional diagram and a transfer function, wherein a reactive power control algorithm submodule in a PCS virtual synchronous control algorithm module in the diagram compares a received PCS _ Qset signal with a filtered PCS _ Qact signal, the compared signal is subjected to PCS virtual synchronous reactive power proportional-integral control and PCS additional voltage set value amplitude limiting to obtain a PCS _ Vsup signal, S18 in the diagram is a PCS reactive power actual value low-pass filtering function, z is a damping ratio, and z is set to be 0.707; w is a characteristic frequency, and w is set to be 5; s19 is a PCS virtual synchronous reactive power proportional-integral control function, QKp proportional gain, setting QKp to 0.1; QKi integral gain, set QKi-0.5; s20 is a PCS additional voltage set value amplitude limiting function, SVmax additional frequency upper limit limiting value is added, and SVmax is set to be 50%; SVmin is added with a lower limit value of frequency, and is set to be-50%.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a battery energy storage system cluster controlling means under weak electric wire netting condition which characterized in that includes:
the multifunctional power meter module is used for outputting UAct, Fact, Pact and QACT signals;
the factory level control algorithm module is used for receiving the signal output by the multifunctional power meter module, calculating and outputting Pext and Qext signals according to the received signal, Pref, Qref and Fref;
the converter PCS power distribution module is used for receiving the Pext and Qext signals of the factory layer control algorithm module and distributing PCS _ Pset and PCS _ Qset signals according to the capacity residual value SoC of each independent battery energy storage system;
the PCS virtual synchronous control algorithm module is used for receiving PCS _ Pset and PCS _ Qset signals output by the converter PCS power distribution module and outputting PCS _ Vsup signals and PCS _ Fsup signals according to the received signals;
a Profinet communication module; the PCS _ Delta _ F, PCS _ Pact and PCS _ QACT signal feedback module is used for receiving the signal output by the PCS virtual synchronous control algorithm module and feeding back the PCS _ Delta _ F, PCS _ Pact and PCS _ QACT signals to the PCS virtual synchronous control algorithm module.
2. The device for controlling the battery energy storage system cluster under the weak grid condition as claimed in claim 1, wherein: the number of the PCS virtual synchronous control algorithm modules is 200, and the converter PCS power distribution module inputs the output PCS _ Pset and PCS _ Qset signals into the corresponding PCS virtual synchronous control algorithm modules.
3. The device for controlling the battery energy storage system cluster under the weak grid condition as claimed in claim 1, wherein: the factory layer control algorithm module consists of an active power algorithm submodule and a reactive power control algorithm submodule.
4. The device for controlling the battery energy storage system cluster under the weak grid condition as claimed in claim 1, wherein: an active power algorithm submodule in the factory layer control algorithm module compares the obtained Fact signal with the Pref signal and controls the frequency droop characteristic of the compared signal, the active power algorithm submodule filters the obtained Pact signal, the signal after the frequency droop characteristic control, the filtered signal and the Pref signal are compared to obtain a new signal, and the obtained signal sequentially passes through a frequency deviation amplitude limit, an active power proportional-integral controller, an active power set value amplitude limit and a power control first-order lag to obtain a Pext signal.
5. The device for controlling the battery energy storage system cluster under the weak grid condition as claimed in claim 1, wherein: and a reactive power control algorithm submodule in the factory layer control algorithm module filters the obtained QACT signal, compares the filtered signal with a Qref signal to obtain a new signal, and obtains a Qext signal to be output through reactive power deviation dead zone characteristic control, a reactive power proportional-integral controller, reactive power set value amplitude limiting and reactive power control lead-lag.
6. The device for controlling the battery energy storage system cluster under the weak grid condition as claimed in claim 1, wherein: the function realization method of the converter PCS power distribution module comprises the following steps:
7. the device for controlling the battery energy storage system cluster under the weak grid condition as claimed in claim 1, wherein: the PCS virtual synchronous control algorithm module consists of an active power control algorithm submodule and a reactive power control algorithm submodule.
8. The device for controlling the battery energy storage system cluster under the weak grid condition as claimed in claim 1, wherein: an active power control algorithm submodule in the PCS virtual synchronous control algorithm module obtains a first signal by damping control of a PCS _ Delta _ F signal through a PCS virtual speed regulator, the active power control algorithm submodule obtains a second signal by controlling the received PCS _ Delta _ F signal through the droop characteristic of the PCS virtual speed regulator, the second signal is compared with a PCS _ Pset signal, the compared signal is subjected to deviation and amplitude limitation of PCS virtual speed regulator and PCS active power to obtain a third signal, the active power control algorithm submodule obtains a fourth signal by filtering a PCS _ Pact signal, the first signal, the third signal and the fourth signal are compared to obtain a fifth signal, and the fifth signal is subjected to PCS virtual synchronous active power proportional-integral control and PCS additional frequency set value amplitude limitation to obtain a PCS _ Fsup signal.
9. The device for controlling the battery energy storage system cluster under the weak grid condition as claimed in claim 1, wherein: and a reactive power control algorithm submodule in the PCS virtual synchronous control algorithm module compares the received PCS _ Qset signal with the filtered PCS _ QACT signal, and the compared signal is subjected to PCS virtual synchronous reactive power proportional-integral control and PCS additional voltage set value amplitude limiting to obtain a PCS _ Vsup signal.
10. A method for controlling a battery energy storage system cluster under a weak grid condition, according to any one of claims 1 to 9, comprising the steps of:
the method comprises the following steps: the device is connected with a large-scale battery energy storage system power grid system structure, and a power storage system converter PCS works in an independent V/F control voltage source working mode;
step two: the multifunctional power meter module in the device measures and inputs measured UAct, Fact, Pact and QACT signals into a factory level control algorithm module;
step three: the factory layer control algorithm module distributes PCS _ Pset and PCS _ Qset signals to the virtual synchronous control algorithm module according to the received signals and the capacity residual value SoC of each independent battery energy storage system;
step four: the Profinet communication module receives PCS _ Pset and PCS _ Qset signals and feeds back PCS _ Delta _ F, PCS _ Pact and PCS _ Qact signals to the PCS virtual synchronous control algorithm module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110761141.5A CN113541173B (en) | 2021-07-06 | 2021-07-06 | Battery energy storage system cluster control device and control method under weak power grid condition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110761141.5A CN113541173B (en) | 2021-07-06 | 2021-07-06 | Battery energy storage system cluster control device and control method under weak power grid condition |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113541173A true CN113541173A (en) | 2021-10-22 |
| CN113541173B CN113541173B (en) | 2022-04-01 |
Family
ID=78097790
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110761141.5A Active CN113541173B (en) | 2021-07-06 | 2021-07-06 | Battery energy storage system cluster control device and control method under weak power grid condition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113541173B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105449690A (en) * | 2015-12-22 | 2016-03-30 | 许继集团有限公司 | Converter reactive power control method and system based on virtual synchronous generator model |
| CN107732978A (en) * | 2017-09-23 | 2018-02-23 | 天津大学 | A kind of inverter system that power distribution strategies are improved based on virtual synchronous generator |
| CN110854911A (en) * | 2019-11-21 | 2020-02-28 | 国网江苏省电力有限公司电力科学研究院 | Energy storage station power rapid control method and device based on coordinated controller |
| CN112636392A (en) * | 2020-12-23 | 2021-04-09 | 天津大学合肥创新发展研究院 | Single-stage multi-terminal hybrid micro-grid structure suitable for low-voltage house and control method thereof |
-
2021
- 2021-07-06 CN CN202110761141.5A patent/CN113541173B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105449690A (en) * | 2015-12-22 | 2016-03-30 | 许继集团有限公司 | Converter reactive power control method and system based on virtual synchronous generator model |
| CN107732978A (en) * | 2017-09-23 | 2018-02-23 | 天津大学 | A kind of inverter system that power distribution strategies are improved based on virtual synchronous generator |
| CN110854911A (en) * | 2019-11-21 | 2020-02-28 | 国网江苏省电力有限公司电力科学研究院 | Energy storage station power rapid control method and device based on coordinated controller |
| CN112636392A (en) * | 2020-12-23 | 2021-04-09 | 天津大学合肥创新发展研究院 | Single-stage multi-terminal hybrid micro-grid structure suitable for low-voltage house and control method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113541173B (en) | 2022-04-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106374529B (en) | Distributed energy is grid-connected and reactive compensation composite control method | |
| US8614525B2 (en) | Methods and systems for operating a power generation system | |
| US10211721B2 (en) | DC/AC converter apparatus comprising means for controlling the reactive power and power conversion and generation system comprising such DC/AC converter apparatus | |
| CN110601248B (en) | Multi-mode coordination control method of annular alternating current-direct current hybrid micro-grid system | |
| CN105514966A (en) | Energy storage optimization and coordination control method for direct-current micro grid group | |
| CN110556856B (en) | Communication-independent multi-mode electric energy router and seamless switching control method thereof | |
| CN110912208B (en) | Flexible direct current transmission converter control method based on improved droop controller | |
| CN103762628A (en) | Method of controlling bidirectional converter to charge and discharge storage battery | |
| CN103956778A (en) | Micro-grid system and networking method based on phase angle droop control | |
| CN102111080A (en) | Photovoltaic grid-connected inverter and control method | |
| CN105337306A (en) | Optical storage integrated power generation system | |
| CN104135021A (en) | Voltage optimization control method of off-grid energy storage converter based on compound control | |
| CN109659941A (en) | A kind of alternating current-direct current mixing micro-capacitance sensor autonomous control method and system | |
| CN110474371A (en) | A kind of scene hydrogen multipotency source integrated system | |
| CN109888845A (en) | A kind of alternating current-direct current mixing micro-capacitance sensor | |
| CN203289107U (en) | Multi-access-point photovoltaic grid-connected system electrical energy quality and reactive power voltage coordination control device | |
| CN111371120A (en) | Micro-grid smooth switching control system and method based on LCL grid-connected inverter | |
| CN115189374A (en) | Three-phase unbalance management system and method for light storage power supply and dynamic power regulation | |
| CN108173292A (en) | Photovoltaic virtual synchronous control method based on powerinjected method | |
| CN113541173B (en) | Battery energy storage system cluster control device and control method under weak power grid condition | |
| CN103606965A (en) | Networking control method of energy storage inverters based on quasi real-time synchronous signals | |
| CN113629765B (en) | Multi-mode operation control system of optical storage virtual synchronous machine | |
| CN112600239A (en) | Wind power grid-connected control method | |
| Hu et al. | Study on a plug and play control method for renewable energy source | |
| CN112467795A (en) | Integrated inverter for intelligent micro-grid |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |