CN108092283A - A kind of electric system electrical power stabilization optimization method - Google Patents
A kind of electric system electrical power stabilization optimization method Download PDFInfo
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- CN108092283A CN108092283A CN201711438095.5A CN201711438095A CN108092283A CN 108092283 A CN108092283 A CN 108092283A CN 201711438095 A CN201711438095 A CN 201711438095A CN 108092283 A CN108092283 A CN 108092283A
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- 238000005457 optimization Methods 0.000 title claims abstract description 35
- 230000006641 stabilisation Effects 0.000 title claims abstract description 26
- 238000011105 stabilization Methods 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000004146 energy storage Methods 0.000 claims abstract description 37
- 238000010248 power generation Methods 0.000 claims abstract description 35
- 230000033228 biological regulation Effects 0.000 claims abstract description 10
- 238000009826 distribution Methods 0.000 claims abstract description 8
- 238000003860 storage Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 4
- 238000000205 computational method Methods 0.000 claims description 3
- 238000000151 deposition Methods 0.000 claims 1
- 238000012423 maintenance Methods 0.000 abstract description 2
- 230000001172 regenerating effect Effects 0.000 description 5
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Classifications
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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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H02J3/383—
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- H02J3/386—
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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
-
- 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
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
-
- 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
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
A kind of electric system electrical power stabilization optimization method, applied to smart home electric system, wherein, the smart home electric system includes electric network source, wind power generation plant, photovoltaic power generation apparatus, energy-storage system, user load etc..Judge whether voltage sag occur including step, judge whether transformer can carry out on-load voltage regulation, judge whether emergent power recess, execution voltage stabilization optimization algorithm, according to the voltage stabilization Optimized model and constraints of foundation, distribution is dispatched and loaded to electric system electric energy based on wind energy, solar energy prediction and fluctuation of load situation and is optimized.The fluctuation of voltage can effectively be inhibited, while maintenance voltage is stablized, the output and load configuration of system are optimized.
Description
Technical field
The present invention relates to a kind of electric system electrical power stabilization optimization methods, belong to field of power.
Background technology
Smart home is using house as platform, is given birth to household using comprehensive wiring technology, network communication technology, system design
Related facility living integrates, and builds the management system of efficient housing facilities and family's schedule affairs, promotes house security, just
Profit, and realize the living environment of environmental protection and energy saving.Compared with common household, smart home not only has traditional inhabitation function,
Have both building, efficient, comfortable, safe and convenient, the environmentally friendly living environment that network communication, management are integrated, also provide comprehensive
Information exchange function.
With the development of intelligent grid and regenerative resource, smart home electricity consumption optimal control becomes the heat of the area research
Point.The partial power of intelligent domestic system generally includes regenerative resource, energy-storage system.Utilization, the energy storage of its regenerative resource
The intelligence of system and the reasonable unification of the two utilize the trend for being the area research.
Intelligent domestic system includes electric network source, wind power generation plant, photovoltaic power generation apparatus, energy-storage system, user load
It charging/discharging apparatus, air-conditioning equipment, lighting apparatus etc., in short-term a large amount of loads may reach the standard grade including electric vehicle etc. Deng, user load
It may cause the shortage of voltage and power.Meanwhile the regenerative resources such as wind power generation plant, photovoltaic power generation apparatus have fluctuation
And unstability, how to coordinate the voltage of regenerative resource and load and energy flow is to maintain the key of voltage stabilization.
The content of the invention
The present invention is a kind of electric system electrical power stabilization optimization method, inhibits voltage fluctuation and power swing, and based on wind
Energy, solar energy prediction and fluctuation of load situation are dispatched electric system electric energy and are loaded distribution and optimize.
A kind of electric system electrical power stabilization optimization method of the present invention, applied to smart home electric system, wherein, it is described
Smart home electric system includes electric network source, wind power generation plant, photovoltaic power generation apparatus, energy-storage system, user load etc.；Its
It is characterized in that, comprises the following steps：
(1) acquisition parameters of electric power system, the current sensor including each collection point, the electric current of voltage sensor acquisition,
Voltage, and determine location of fault and fault type；
(2) judge whether voltage sag occur namely judge electric network source whether break down or occur load increase sharply with
It is recessed as network voltage；If it is determined that there is voltage sag, then step (3) is transferred to, otherwise, is transferred to step (6)；
(3) judge whether transformer can carry out on-load voltage regulation；If on-load voltage regulation is feasible, step (5) is transferred to, it is no
Then, it is transferred to step (4)；
(4) by wind-solar-storage joint optimization algorithm to the wind power generation plant, photovoltaic power generation apparatus, energy-storage system hair
Electricity is scheduled, and voltage is adjusted according to loading demand, and step (6) is transferred to after performing；
(5) on-load voltage regulation switching is carried out to transformer, voltage is adjusted according to loading demand, step is transferred to after performing
Suddenly (6)；
(6) judge whether emergent power recess namely judge electric system generation general power whether can meet it is total
Complicated demand if conditions are not met, being then transferred to step (7), is otherwise transferred to step (8)；
(7) electric power generated by energy-storage system optimization algorithm to energy-storage system is scheduled, to meet the power of load
Demand is transferred to step (8) after performing；
(8) voltage stabilization optimization algorithm is performed, according to the voltage stabilization Optimized model and constraints of foundation, based on wind
Energy, solar energy prediction and fluctuation of load situation are dispatched electric system electric energy and are loaded distribution and optimize；Turn after performing
Enter step (1).
Wind-solar-storage joint optimization algorithm in the step (4) concretely comprises the following steps：
(4.1) confirm whether the wind power generation plant, photovoltaic power generation apparatus, the electric power of energy-storage system can use；
(4.2) wind power generation plant, photovoltaic power generation apparatus, the electric power generating efficiency of energy-storage system are calculated, is tied according to calculating
Fruit chooses electric power generating efficiency and enters wind-solar-storage joint optimization execution program more than the generator unit of preset value；
(4.3) predict whether to disclosure satisfy that voltage requirements, be unsatisfactory for, return to step (4.2)；
(4.4) definite scheme is performed.
Wind power generation plant, photovoltaic power generation apparatus, the electric energy production of energy-storage system are calculated described in the step (4.2)
Efficiency inquires about pre-stored efficiency calculation by lookup table mode.
Electric power generating efficiency computational methods described in the step (4.2) are specially：
Wherein, dVjRepresent the variable quantity of voltage at the j of position, dPiRepresent the variable quantity that power is generated at the i of position.
Energy-storage system optimization algorithm in the step (7) concretely comprises the following steps：
(7.1) confirm whether each energy-storage units electric power of the energy-storage system can use；
(7.2) the nearest energy-storage system of distance fault point is found；
(7.3) survey whether disclosure satisfy that power demand, be unsatisfactory for, return to step (7.2)；
(7.4) definite scheme is performed.
The voltage stabilization Optimized model and constraints according to foundation in the step (8), it is pre- based on wind energy, solar energy
It surveys and fluctuation of load situation is dispatched electric system electric energy and loaded distribution and optimizes specially：
F=min (- λ)
Meet：
PGimin≤PGi≤PGimax
QGimin≤QGi≤QGimax
Vimin≤Vi≤Vimax
Wherein, PGi、QGiIt is the active and reactive power that generator unit generates；PDi、QDiThe active and reactive work(of load consumption
Rate；Vi、VjIt is node voltage；θijIt is phase angle；Gij、BijIt is specific conductance；λ is load parameter；bPi、bQiRepresent load wattful power
The direction of rate and reactive power；PGimin、PGimaxIt is the active power minimum value and maximum that generator unit generates；QGimin、QGimax
It is the reactive power minimum value and maximum that generator unit generates.
Using the method for the present invention, it can effectively inhibit the fluctuation of voltage, while maintenance voltage is stablized, to system
It contributes and load configuration optimizes.
Description of the drawings
Fig. 1：The electric system electrical power stabilization optimization method flow chart of the present invention；
Fig. 2：The wind-solar-storage joint optimization algorithm flow chart of the present invention；
Fig. 3：The energy-storage system optimization algorithm flow chart of the present invention.
Specific embodiment
Write a kind of electric system electrical power stabilization optimization method for illustrating the present invention with reference to Fig. 1-3 exactly, the present invention is applied to intelligence
Energy household electric system, wherein, the smart home electric system includes electric network source, wind power generation plant, photovoltaic generation dress
It puts, energy-storage system, user load etc..It concretely comprises the following steps：
(1) acquisition parameters of electric power system, the current sensor including each collection point, the electric current of voltage sensor acquisition,
Voltage, and determine location of fault and fault type.
(2) judge whether voltage sag occur namely judge electric network source whether break down or occur load increase sharply with
It is recessed as network voltage；If it is determined that there is voltage sag, then step (3) is transferred to, otherwise, is transferred to step (6).
(3) judge whether transformer can carry out on-load voltage regulation；If on-load voltage regulation is feasible, step (5) is transferred to, it is no
Then, it is transferred to step (4).
(4) by wind-solar-storage joint optimization algorithm to the wind power generation plant, photovoltaic power generation apparatus, energy-storage system hair
Electricity is scheduled, and voltage is adjusted according to loading demand, and step (6) is transferred to after performing.
Wind-solar-storage joint optimization algorithm in the step (4) concretely comprises the following steps：
(4.1) confirm whether the wind power generation plant, photovoltaic power generation apparatus, the electric power of energy-storage system can use；
(4.2) wind power generation plant, photovoltaic power generation apparatus, the electric power generating efficiency of energy-storage system are calculated, is tied according to calculating
Fruit chooses electric power generating efficiency and enters wind-solar-storage joint optimization execution program more than the generator unit of preset value；
(4.3) predict whether to disclosure satisfy that voltage requirements, be unsatisfactory for, return to step (4.2)；
(4.4) definite scheme is performed.
Wind power generation plant, photovoltaic power generation apparatus, the electric energy production of energy-storage system are calculated described in the step (4.2)
Efficiency inquires about pre-stored efficiency calculation by lookup table mode.
Electric power generating efficiency computational methods described in the step (4.2) are specially：
Wherein, dVjRepresent the variable quantity of voltage at the j of position, dPiRepresent the variable quantity that power is generated at the i of position.
(5) on-load voltage regulation switching is carried out to transformer, voltage is adjusted according to loading demand, step is transferred to after performing
Suddenly (6).
(6) judge whether emergent power recess namely judge electric system generation general power whether can meet it is total
Complicated demand if conditions are not met, being then transferred to step (7), is otherwise transferred to step (8).
(7) electric power generated by energy-storage system optimization algorithm to energy-storage system is scheduled, to meet the power of load
Demand is transferred to step (8) after performing.
Energy-storage system optimization algorithm in the step (7) concretely comprises the following steps：
(7.1) confirm whether each energy-storage units electric power of the energy-storage system can use；
(7.2) the nearest energy-storage system of distance fault point is found；
(7.3) survey whether disclosure satisfy that power demand, be unsatisfactory for, return to step (7.2)；
(7.4) definite scheme is performed.
(8) voltage stabilization optimization algorithm is performed, according to the voltage stabilization Optimized model and constraints of foundation, based on wind
Energy, solar energy prediction and fluctuation of load situation are dispatched electric system electric energy and are loaded distribution and optimize；Turn after performing
Enter step (1).
The voltage stabilization Optimized model and constraints according to foundation in the step (8), it is pre- based on wind energy, solar energy
It surveys and fluctuation of load situation is dispatched electric system electric energy and loaded distribution and optimizes specially：
F=min (- λ)
Meet：
PGimin≤PGi≤PGimax
QGimin≤QGi≤QGimax
Vimin≤Vi≤Vimax
Wherein, PGi、QGiIt is the active and reactive power that generator unit generates；PDi、QDiThe active and reactive work(of load consumption
Rate；Vi、VjIt is node voltage；θijIt is phase angle；Gij、BijIt is specific conductance；λ is load parameter；bPi、bQiRepresent load wattful power
The direction of rate and reactive power；PGimin、PGimaxIt is the active power minimum value and maximum that generator unit generates；QGimin、QGimax
It is the reactive power minimum value and maximum that generator unit generates.
Claims (6)
1. a kind of electric system electrical power stabilization optimization method, the smart home electric system includes electric network source, wind-power electricity generation
Device, photovoltaic power generation apparatus, energy-storage system, user load etc.；It is characterised in that it includes following steps：
(1) acquisition parameters of electric power system, the current sensor including each collection point, the electric current of voltage sensor acquisition, voltage,
And determine location of fault and fault type；
(2) judge whether voltage sag occur namely judge electric network source whether break down or occur load increase sharply so that
Network voltage is recessed；If it is determined that there is voltage sag, then step (3) is transferred to, otherwise, is transferred to step (6)；
(3) judge whether transformer can carry out on-load voltage regulation；If on-load voltage regulation is feasible, step (5) is transferred to, otherwise, is turned
Enter step (4)；
(4) by wind-solar-storage joint optimization algorithm to the wind power generation plant, photovoltaic power generation apparatus, energy-storage system power generation into
Row scheduling, is adjusted voltage according to loading demand, and step (6) is transferred to after performing；
(5) on-load voltage regulation switching is carried out to transformer, voltage is adjusted according to loading demand, step is transferred to after performing
(6)；
(6) judge whether emergent power recess namely judge whether the general power that electric system generates can meet total complexity
Demand if conditions are not met, being then transferred to step (7), is otherwise transferred to step (8)；
(7) electric power generated by energy-storage system optimization algorithm to energy-storage system is scheduled, to meet the power demand of load,
Step (8) is transferred to after performing；
(8) voltage stabilization optimization algorithm is performed, according to the voltage stabilization Optimized model and constraints of foundation, based on wind energy, too
Sun can be predicted and fluctuation of load situation is dispatched electric system electric energy and loaded distribution and optimizes；Step is transferred to after performing
(1)。
2. electric system electrical power stabilization optimization method as described in claim 1, which is characterized in that the wind in the step (4)
Light storage combined optimization algorithm concretely comprises the following steps：
(4.1) confirm whether the wind power generation plant, photovoltaic power generation apparatus, the electric power of energy-storage system can use；
(4.2) wind power generation plant, photovoltaic power generation apparatus, the electric power generating efficiency of energy-storage system are calculated, is selected according to result of calculation
The generator unit that electric power generating efficiency is more than preset value is taken to enter wind-solar-storage joint optimization execution program；
(4.3) predict whether to disclosure satisfy that voltage requirements, be unsatisfactory for, return to step (4.2)；
(4.4) definite scheme is performed.
3. electric system electrical power stabilization optimization method as claimed in claim 2, which is characterized in that institute in the step (4.2)
The calculating wind power generation plant stated, photovoltaic power generation apparatus, the electric power generating efficiency of energy-storage system are by lookup table mode to depositing in advance
The efficiency calculation of storage is inquired about.
4. electric system electrical power stabilization optimization method as claimed in claim 3, which is characterized in that institute in the step (4.2)
The electric power generating efficiency computational methods stated are specially：
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Wherein, dVjRepresent the variable quantity of voltage at the j of position, dPiRepresent the variable quantity that power is generated at the i of position.
5. electric system electrical power stabilization optimization method as described in claim 1, which is characterized in that the storage in the step (7)
Energy system optimization algorithm concretely comprises the following steps：
(7.1) confirm whether each energy-storage units electric power of the energy-storage system can use；
(7.2) the nearest energy-storage system of distance fault point is found；
(7.3) predict whether to disclosure satisfy that power demand, be unsatisfactory for, return to step (7.2)；
(7.4) definite scheme is performed.
6. electric system electrical power stabilization optimization method as described in claim 1, which is characterized in that the root in the step (8)
According to the voltage stabilization Optimized model and constraints of foundation, based on wind energy, solar energy prediction and fluctuation of load situation to electric power
System power is dispatched and load distribution optimizes specially：
F=min (- λ)
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Meet：
PGimin≤PGi≤PGimax
QGimin≤QGi≤QGimax
Vimin≤Vi≤Vimax
Wherein, PGi、QGiIt is the active and reactive power that generator unit generates；PDi、QDiThe active and reactive power of load consumption；
Vi、VjIt is node voltage；θijIt is phase angle；Gij、BijIt is specific conductance；λ is load parameter；bPi、bQiRepresent load active power and
The direction of reactive power；PGimin、PGimaxIt is the active power minimum value and maximum that generator unit generates；QGimin、QGimaxIt is hair
The reactive power minimum value and maximum that electric unit generates.
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| 王云杰等: "动态电压调节器在电压跌落控制中的研究", 《江苏电器》 * |
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