CN108318757A - Energy-storage system control strategy test optimization platform based on HWIL simulation - Google Patents
Energy-storage system control strategy test optimization platform based on HWIL simulation Download PDFInfo
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- CN108318757A CN108318757A CN201810061811.0A CN201810061811A CN108318757A CN 108318757 A CN108318757 A CN 108318757A CN 201810061811 A CN201810061811 A CN 201810061811A CN 108318757 A CN108318757 A CN 108318757A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Abstract
The invention belongs to the technical fields of energy-storage system HWIL simulation, provide a kind of energy-storage system control strategy test optimization platform based on HWIL simulation, energy-storage system is by battery unit, inverter, energy manager forms, on semi-physical emulation platform, build battery unit, inverter, energy manager simulation model, utilize the I/O interface that semi-physical emulation platform is abundant, in conjunction with actual energy manager, form energy-storage system control strategy test optimization platform, energy-storage system is tested in stable state, whether the systematic parameter under transient state operating condition meets national standard, and it optimizes.
Description
Technical field
The invention belongs to the technical fields of energy-storage system HWIL simulation, are related to a kind of energy storage system based on HWIL simulation
System control strategy test optimization platform.
Background technology
Energy storage technology is fast-developing as intelligent grid, regenerative resource access, distributed power generation, microgrid and electric vehicle
Key technology, while these fields welcome great development, also promote energy storage technology upgrade, push energy storage demand
Rapid growth.Up to the present, a variety of energy storage modes has been formd, has been broadly divided into：Physics energy storage, chemical energy storage and electromagnetism
Energy storage is widely used in the power generation in power grid, transmission of electricity, distribution, electricity consumption links, and technical maturity steps up, and has
It is widely applied foreground.
In order to play the advantage of energy storage technology, enable that energy-storage system is safe and stable, Effec-tive Function, according to energy-storage system
Structure builds the simulation models such as battery unit, inverter, energy manager on semi-physical emulation platform, forms energy-storage system
Semi-physical emulation platform forms energy-storage system hardware-in―the-loop test platform in conjunction with actual energy manager, verifies energy-storage system
Operation characteristic under each operating mode.Due to the complexity of energy-storage system operation, energy-storage system characteristic has been carried out for many years both at home and abroad
Research, target is：Test systematic parameter of the energy-storage system under stable state, transient state operating condition, including frequency, voltage, electricity
Energy quality, battery capacity, charge-discharge electric power etc., if in national standard Q/GDW564-2010《Energy-storage system accesses power distribution network skill
Art provides》Regulation in the range of.
For example, Publication No. CN102419405A, publication date is on April 18th, 2012, entitled " MW class energy storage
The Chinese patent literature of the system and method for stand control protective device progress closed test ", existing energy storage is utilized to solve
The control of model measurement energy-accumulating power station is protected, and a kind of energy-accumulating power station test platform based on RTDS real-time emulation systems is disclosed,
Whether the protection control strategy of test energy-accumulating power station meets national standard related request, but this test platform cannot be to true
Energy-storage system performance tested.Therefore it needs to design a kind of new optimization that can be tested for the property true energy-storage system
Platform.
Invention content
The purpose of the present invention is combining the present situation of China's energy-storage system HWIL simulation, propose a kind of based on HWIL simulation
Energy-storage system control strategy test optimization platform, battery list is built according to energy-storage system structure based on semi-physical emulation platform
Member, inverter, energy manager simulation model, using the I/O interface that semi-physical emulation platform is abundant, in conjunction with actual energy pipe
Device is managed, energy-storage system hardware-in―the-loop test platform, system ginseng of the test energy-storage system under stable state, transient state operating condition are formed
Number, including each item data such as frequency, voltage, power quality, battery capacity, charge-discharge electric power index whether in national standard Q/
GDW564-2010《Energy-storage system accesses distribution network technology regulation》Regulation in the range of, and optimize.
For this purpose, the present invention adopts the following technical scheme that：
Energy-storage system control strategy test optimization platform based on HWIL simulation, it is characterised in that：
First, its simulation software is utilized in semi-physical emulation platform, builds to form energy-storage system simulation model, according to energy-storage system
National standard tested, in conjunction with energy-storage system actual product characteristic curve, it is imitative to form the energy-storage system with engineering precision
True mode；
Further, bonding apparatus actual energy manager forms energy-storage system hardware using the I/O interface of semi-physical emulation platform
In ring test platform；
Then, the energy-storage system control strategy test optimization platform based on HWIL simulation, in conjunction with energy management strategies, according to storage
Can system each operating condition, whether corresponding system parameter when detection energy-storage system is in stable state or transient state in national standard
In the range of regulation, and optimize.
The energy-storage system simulation model to be formed of building includes at least：Battery unit simulation model, inverter emulate mould
Type, energy manager simulation model, operating condition analog simulation model；The energy-storage system, which includes at least, battery unit, inverse
Become device, energy manager.
The specific forming process of each simulation model is as follows：
According to the composition of battery unit in energy-storage system, using the simulation software of semi-physical emulation platform, build to form battery list
The battery unit simulation model of first simulation model, formation includes at least：The simulation model of battery simulation model, battery group, relates to
And key parameter be：Battery series-parallel connection structure, battery capacity, the power of battery, cell voltage etc. are marked according to battery unit country
Standard is tested, and in conjunction with battery unit actual product characteristic curve, forms the battery unit simulation model with engineering precision；
It builds to form inverter emulation using half platform emulation software in kind according to the topological structure of inverter in energy-storage system
The inverter simulation model of model, formation includes at least：Dc-link capacitance simulation model, becomes DC/AC converters simulation model
Depressor simulation model, key parameter are：DC voltage, alternating voltage, alternating current, capacity, frequency etc., according to energy storage inversion
Device national standard is tested, and in conjunction with inverter actual product characteristic curve, is formed the inverter with engineering precision and is emulated mould
Type；
According to the simulation model of obtained battery unit, inverter engineering precision, in conjunction with the control strategy of energy manager,
In, energy manager includes BMS battery management systems, inverter function control（Fluctuation stabilize, peak load shifting, PQ/UF patterns）,
Form the energy-storage system simulation model with engineering precision.
Operating condition analog simulation model may include power grid and load simulation model to realize, wherein：
Power system simulation model：According to electrical network parameter power system simulation model, power grid ginseng are built using half platform emulation software in kind
Number includes：Voltage, frequency, phase, electricity fault analog device etc., can simulating grid nominal situation, also can simulating grid fault condition；
Load simulation model：Using half platform emulation software in kind, load simulation model is built, load parameter includes voltage, electricity
Stream, active and reactive, power factor etc., simulate each load condition.
When forming the energy-storage system control strategy test optimization platform based on HWIL simulation, the practical controller of equipment
Including energy manager.
The I/O interface of the semi-physical emulation platform includes the various input/output interfaces of high-speed figure amount and analog quantity,
It by I/O interface, is connected with the actual energy manager of energy-storage system, forms energy-storage system hardware-in―the-loop test platform.
Corresponding system parameter when the energy-storage system is in stable state or transient state include at least frequency, voltage, power quality,
Battery capacity, charge-discharge electric power.
The operating mode of the transient state includes at least voltage ripple of power network, frequency fluctuation, load fluctuation, electric network fault.
The national standard is Q/GDW564-2010《Energy-storage system accesses distribution network technology regulation》.
According to energy-storage system simulation model, to the charging and discharging currents of energy-storage system, terminal voltage, the remaining capacity SOC of battery
And the charge and discharge slope of energy-storage system is detected, and upper limit value is set, SOC best maintaineds are in 30% ~ 70% setting range.
When energy-storage system is incorporated into the power networks, the energy storage energy management strategies each power supply grid-connected for optimum use；
When energy-storage system islet operation, the energy storage energy management strategies make system stable operation under various operating modes, meet load
Demand.
Beneficial effects of the present invention are as follows：
The present invention is based on semi-physical emulation platforms, and battery is built according to energy-storage system structure using half platform emulation software in kind
Unit, inverter, energy manager simulation model form energy-storage system simulation test platform, rich using semi-physical emulation platform
Rich I/O interface forms the energy-storage system control strategy test optimization based on HWIL simulation in conjunction with actual energy manager
Platform, systematic parameter of the test energy-storage system under stable state, transient state operating condition, including frequency, voltage, power quality, battery
Capacity, charge-discharge electric power etc., if in national standard Q/GDW564-2010《Energy-storage system accesses distribution network technology regulation》Rule
In fixed range, and optimize.
Description of the drawings
Fig. 1 is the configuration diagram of the energy-storage system half-physical simulation test platform of the present invention.
Fig. 2 is the energy-storage system control strategy test optimization platform figure based on HWIL simulation of the present invention.
Specific implementation mode
As shown in Figure 1, proposed by the present invention be based on HWIL simulation energy-storage system simulation test platform, the energy-storage system
Including：Battery unit, inverter, energy manager.The present invention is to be based on semi-physical emulation platform, utilizes half platform emulation in kind
Software builds energy-storage system HWIL simulation emulation platform according to energy-storage system structure, including：Battery unit, inverter, energy
The simulation models such as manager are measured, corresponding simulation model is built, each subsystem simulation model is carried out with actual characteristic curve
It checks, forms the energy-storage system HWIL simulation emulation platform with engineering precision.
As shown in Fig. 2, present invention combination energy-storage system actual energy manager, utilizes the IO that semi-physical emulation platform is abundant
Interface forms energy-storage system control strategy test optimization platform based on HWIL simulation, according to energy-storage system stable state, transient state
Operating condition, test systematic parameter, including frequency, voltage, power quality, battery capacity, charge-discharge electric power etc., if in country
Standard Q/GDW564-2010《Energy-storage system accesses distribution network technology regulation》Regulation in the range of, and optimize.
Energy-storage system control strategy test optimization platform based on HWIL simulation, can quickly obtain energy-storage system in each work
Operation characteristic under condition, and optimize, method is mainly：
（1）Energy-storage system simulation model is based on semi-physical emulation platform, is taken according to energy-storage system structure using its simulation software
Energy-storage system simulation test platform is built, including：The simulation models such as battery unit, inverter, energy manager, according to energy-storage system
National standard is tested, and in conjunction with energy-storage system actual product characteristic curve, is formed the energy-storage system with engineering precision and is emulated
Model.
（2）The operating condition of energy-storage system is realized by power grid and load HWIL simulation model, wherein grid simulation
Model builds power system simulation model, electrical network parameter includes according to electrical network parameter using half platform emulation software in kind：Voltage,
Frequency, phase, electricity fault analog device etc., can simulating grid nominal situation, also can simulating grid fault condition；Load simulation model,
Using half platform emulation software in kind, load simulation model is built, load parameter includes voltage, electric current, active and reactive, power
Factor etc. simulates each load condition.
（3）Based on energy-storage system simulation model, in conjunction with energy-storage system actual energy manager, wherein energy manager packet
Include BMS battery management systems, inverter function control（Fluctuation stabilize, peak load shifting, PQ/UF patterns）, utilize HWIL simulation
The abundant I/O interface of platform forms energy-storage system hardware-in―the-loop test platform.
（4）Energy-storage system control strategy test optimization platform based on HWIL simulation, according to energy-storage system stable state, transient state
Operating condition, test systematic parameter, including frequency, voltage, power quality, battery capacity, charge-discharge electric power etc., if in state
Family standard Q/GDW564-2010《Energy-storage system accesses distribution network technology regulation》Regulation in the range of, wherein steady state condition packet
It includes：When grid-connected or off-network, the operating modes such as constant pressure, constant current, constant power factor, transient operating mode includes：Voltage ripple of power network, frequency wave
The operating modes such as dynamic, load fluctuation, electric network fault, so that it may obtain operation characteristic of the energy-storage system under each operating mode, and optimize.
（5）Prevent overcharging and putting excessively for energy-storage battery.Due to overcharging, cross put, fill greatly, put greatly etc. damage to battery compared with
Greatly, to the charging and discharging currents of battery, terminal voltage, the remaining capacity SOC of battery（State of Charge）And the charge and discharge of battery
Electric slope is detected, and sets upper limit value, and SOC best maintaineds are in 30% ~ 70% setting range.
Energy-storage system energy management strategies, when energy-storage system is incorporated into the power networks, the energy storage energy management strategies are for optimal
Change and utilizes grid-connected each power supply；When energy-storage system islet operation, the energy storage energy management strategies make system in various operating modes
Lower stable operation, meets workload demand.
Claims (11)
1. the energy-storage system control strategy test optimization platform based on HWIL simulation, it is characterised in that：
First, it in semi-physical emulation platform, builds to form energy-storage system simulation model, be carried out according to the national standard of energy-storage system
Test forms the energy-storage system simulation model with engineering precision in conjunction with the actual product characteristic curve of energy-storage system；
Further, using the I/O interface of semi-physical emulation platform, the practical controller of bonding apparatus forms energy-storage system hardware in loop
Test platform；
Then, the energy-storage system control strategy test optimization platform based on HWIL simulation, in conjunction with energy management strategies, according to storage
Can system each operating condition, whether corresponding system parameter when detection energy-storage system is in stable state or transient state in national standard
In the range of regulation, and optimize.
2. the energy-storage system control strategy test optimization platform based on HWIL simulation, feature exist according to claim 1
In：The energy-storage system simulation model includes at least：Battery unit simulation model, inverter simulation model, energy manager are imitative
True mode, operating condition analog simulation model；The energy-storage system, which includes at least, battery unit, inverter, energy manager.
3. the energy-storage system control strategy test optimization platform according to claim 2 based on HWIL simulation, feature
It is：It is built to form battery unit simulation model according to the composition of battery unit in energy-storage system, be marked according to battery unit country
Standard is tested, and in conjunction with the actual product characteristic curve of battery unit, forms the battery unit simulation model with engineering precision；
The battery unit simulation model of formation includes at least：The simulation model of battery simulation model, battery group, the key parameter being related to
It includes at least：Battery series-parallel connection structure, battery capacity, the power of battery, cell voltage.
4. the energy-storage system control strategy test optimization platform according to claim 3 based on HWIL simulation, feature
It is：It is built to form inverter simulation model according to the topological structure of inverter in energy-storage system, according to energy storage inverter country
Standard is tested, and in conjunction with inverter actual product characteristic curve, forms the inverter simulation model with engineering precision；It is formed
Inverter simulation model include at least：Dc-link capacitance simulation model, DC/AC converters simulation model, transformer emulation
Model, the key parameter being related to include at least：DC voltage, alternating voltage, alternating current, capacity, frequency.
5. the energy-storage system control strategy test optimization platform according to claim 4 based on HWIL simulation, feature
It is：The practical controller of equipment includes mainly energy manager；It is imitative according to the obtained battery unit with engineering precision
It is imitative to form the energy-storage system with engineering precision in conjunction with the control strategy of energy manager for true mode and inverter simulation model
True mode；Wherein, energy manager includes BMS battery management systems, inverter function control.
6. the energy-storage system control strategy test optimization platform according to claim 2 based on HWIL simulation, feature
It is：The operating condition analog simulation model includes power system simulation model and load simulation model, wherein：
Power system simulation model is built according to electrical network parameter, is used for simulating grid nominal situation or simulating grid fault condition, power grid
Parameter includes at least：Voltage, frequency, phase, electricity fault analog device；
Load simulation model is built according to load parameter, for simulating each load condition, load parameter includes at least：Voltage,
Electric current, active and reactive, power factor.
7. the energy-storage system control strategy test optimization platform according to claim 5 based on HWIL simulation, feature
It is：The I/O interface of the semi-physical emulation platform includes the various input/output interfaces of high-speed figure amount and analog quantity, is passed through
I/O interface is connected with the energy manager, forms energy-storage system hardware-in-the-loop test platform.
8. the energy-storage system control strategy test optimization platform according to claim 1 based on HWIL simulation, feature
It is：Corresponding system parameter when the energy-storage system is in stable state or transient state includes at least frequency, voltage, power quality, electricity
Tankage, charge-discharge electric power.
9. the energy-storage system control strategy test optimization platform based on HWIL simulation according to claim 1 or 8, special
Sign is：The operating mode of the transient state includes at least voltage ripple of power network, frequency fluctuation, load fluctuation, electric network fault.
10. the energy-storage system control strategy test optimization platform according to claim 1 based on HWIL simulation, feature
It is：According to energy-storage system simulation model, to the charging and discharging currents of energy-storage system, terminal voltage, the remaining capacity SOC of battery and
The charge and discharge slope of energy-storage system is detected, and sets upper limit value, and SOC best maintaineds are in 30% ~ 70% setting range.
11. the energy-storage system control strategy test optimization platform according to claim 1 based on HWIL simulation, feature
It is：When energy-storage system is incorporated into the power networks, the energy storage energy management strategies each power supply grid-connected for optimum use；Work as storage
When energy system islet operation, the energy storage energy management strategies make system stable operation under various operating modes, meet workload demand.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109449964A (en) * | 2018-12-28 | 2019-03-08 | 上海博强微电子有限公司 | A kind of test macro |
| CN109979292A (en) * | 2019-03-29 | 2019-07-05 | 武汉理工大学 | A kind of half actual loading test platform of energy mix electric propulsion system peculiar to vessel |
| CN109977468A (en) * | 2019-02-22 | 2019-07-05 | 深圳先进技术研究院 | Verifying system, method, equipment and the control system of energy management strategies |
| CN110286328A (en) * | 2019-06-27 | 2019-09-27 | 蜂巢能源科技有限公司 | Battery pack simulated power input control method and equipment |
| CN110597168A (en) * | 2019-09-05 | 2019-12-20 | 北京双登慧峰聚能科技有限公司 | Development and test method and development and test system for microgrid energy management algorithm |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104865845A (en) * | 2015-05-06 | 2015-08-26 | 上海交通大学 | Large-scale wind turbine unit real-time operation control combined simulation platform and construction method thereof |
| CN105205232A (en) * | 2015-09-07 | 2015-12-30 | 中国东方电气集团有限公司 | RTDS (real time digital simulator) based stability simulation testing platform for micro grid system |
| WO2015196747A1 (en) * | 2014-06-26 | 2015-12-30 | 国家电网公司 | Test system for simulating direct-current bias of converter transformer |
| CN106374832A (en) * | 2016-09-29 | 2017-02-01 | 中国东方电气集团有限公司 | RTDS-based photovoltaic unit simulation test platform |
-
2018
- 2018-01-23 CN CN201810061811.0A patent/CN108318757A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015196747A1 (en) * | 2014-06-26 | 2015-12-30 | 国家电网公司 | Test system for simulating direct-current bias of converter transformer |
| CN104865845A (en) * | 2015-05-06 | 2015-08-26 | 上海交通大学 | Large-scale wind turbine unit real-time operation control combined simulation platform and construction method thereof |
| CN105205232A (en) * | 2015-09-07 | 2015-12-30 | 中国东方电气集团有限公司 | RTDS (real time digital simulator) based stability simulation testing platform for micro grid system |
| CN106374832A (en) * | 2016-09-29 | 2017-02-01 | 中国东方电气集团有限公司 | RTDS-based photovoltaic unit simulation test platform |
Cited By (21)
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|---|---|---|---|---|
| CN109449964A (en) * | 2018-12-28 | 2019-03-08 | 上海博强微电子有限公司 | A kind of test macro |
| CN109977468A (en) * | 2019-02-22 | 2019-07-05 | 深圳先进技术研究院 | Verifying system, method, equipment and the control system of energy management strategies |
| CN109979292B (en) * | 2019-03-29 | 2021-06-08 | 武汉理工大学 | Semi-physical test platform of marine hybrid energy electric propulsion system |
| CN109979292A (en) * | 2019-03-29 | 2019-07-05 | 武汉理工大学 | A kind of half actual loading test platform of energy mix electric propulsion system peculiar to vessel |
| CN110286328A (en) * | 2019-06-27 | 2019-09-27 | 蜂巢能源科技有限公司 | Battery pack simulated power input control method and equipment |
| CN110286328B (en) * | 2019-06-27 | 2022-03-01 | 蜂巢能源科技有限公司 | Battery pack simulation power input control method and equipment |
| CN110597168A (en) * | 2019-09-05 | 2019-12-20 | 北京双登慧峰聚能科技有限公司 | Development and test method and development and test system for microgrid energy management algorithm |
| CN111258232A (en) * | 2020-02-05 | 2020-06-09 | 北京华电天仁电力控制技术有限公司 | Fire-storage combined frequency modulation semi-physical simulation system |
| CN111258232B (en) * | 2020-02-05 | 2023-05-12 | 国能信控互联技术有限公司 | Fire-storage combined frequency modulation semi-physical simulation system |
| CN113447811B (en) * | 2020-03-25 | 2022-07-19 | 中车株洲电力机车研究所有限公司 | Digital simulation system and method for motor end short circuit fault of urban rail traction system |
| CN113447811A (en) * | 2020-03-25 | 2021-09-28 | 中车株洲电力机车研究所有限公司 | Digital simulation system and method for motor end short circuit fault of urban rail traction system |
| CN111555271A (en) * | 2020-04-27 | 2020-08-18 | 国网河北省电力有限公司电力科学研究院 | Low-voltage user load regulation and control semi-physical simulation system |
| CN111695289A (en) * | 2020-05-13 | 2020-09-22 | 中国东方电气集团有限公司 | Fault diagnosis method and platform of full-power converter |
| CN111695289B (en) * | 2020-05-13 | 2023-04-28 | 中国东方电气集团有限公司 | Fault diagnosis method and platform for full-power converter |
| CN112366796A (en) * | 2020-12-03 | 2021-02-12 | 南方电网科学研究院有限责任公司 | Energy storage system semi-physical simulation platform for gradient utilization of ex-service battery |
| CN113268007A (en) * | 2021-04-25 | 2021-08-17 | 国家能源集团新能源有限责任公司 | Wind power plant energy storage protection simulation test system and method |
| CN113253115A (en) * | 2021-04-27 | 2021-08-13 | 沃太能源股份有限公司 | Large-scale energy storage test platform supporting combined debugging of software and hardware |
| CN113111445A (en) * | 2021-05-12 | 2021-07-13 | 西华大学 | Semi-physical simulation system of fuel cell automobile |
| CN113111445B (en) * | 2021-05-12 | 2022-05-10 | 西华大学 | Semi-physical simulation system of fuel cell automobile |
| CN114185280A (en) * | 2021-12-06 | 2022-03-15 | 国网湖南省电力有限公司 | Energy storage power station semi-physical real-time simulation architecture building method based on embedded system |
| CN114185280B (en) * | 2021-12-06 | 2023-11-21 | 国网湖南省电力有限公司 | Energy storage power station semi-physical real-time simulation architecture construction method based on embedded system |
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Application publication date: 20180724 |