CN108683209B - Distributed power supply grid connection capability evaluation method and device - Google Patents

Distributed power supply grid connection capability evaluation method and device Download PDF

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CN108683209B
CN108683209B CN201810309590.4A CN201810309590A CN108683209B CN 108683209 B CN108683209 B CN 108683209B CN 201810309590 A CN201810309590 A CN 201810309590A CN 108683209 B CN108683209 B CN 108683209B
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power supply
energy storage
distributed power
grid
storage device
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CN108683209A (en
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陶琼
叶季蕾
王德顺
薛金花
杨波
张慧明
赵上林
姬联涛
俞斌
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China Electric Power Research Institute Co Ltd CEPRI
Yangquan Power Supply Co of State Grid Shanxi Electric Power Co Ltd
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China Electric Power Research Institute Co Ltd CEPRI
Yangquan Power Supply Co of State Grid Shanxi Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract

The invention provides a distributed power supply grid-connected capability evaluation method and a distributed power supply grid-connected capability evaluation device, wherein equipment parameters, a topological structure, operation data and initial power of an energy storage device of a power distribution network after grid connection of a distributed power supply are firstly obtained, then a plurality of operation scenes are determined according to the operation data, and load flow calculation is carried out on the power distribution network after grid connection of the distributed power supply according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network, so that load flow calculation results under each operation scene are obtained; and finally, evaluating the grid-connected capability of the distributed power supply according to the load flow calculation result in each operation scene. According to the distributed power supply grid-connected capability evaluation method, the power of the energy storage device is considered, the distributed power supply grid-connected capability evaluation under the participation of the energy storage device is further realized, the accuracy of the evaluation result is improved, the real accepting capability of the power distribution network to the distributed power supply can be correctly reflected, and the development requirement of the energy storage device in the power distribution in the future is met.

Description

Distributed power supply grid connection capability evaluation method and device
Technical Field
The invention relates to the field of grid-connected analysis of new energy power generation technology, in particular to a distributed power supply grid-connected capability evaluation method and device.
Background
At present, with the promotion of low-carbon and green energy strategies, a new round of electric power system reforms the implementation of matching policies, the application value of energy storage is accepted by the market, and especially, the energy storage at the user side keeps high growth continuously. According to statistics, the accumulated loading amount of the commissioning energy storage system applied to the user side in 2000-2016 is 107.9MW (including no pumped storage and heat storage items) and accounts for 57% of all the installations. The new projected amount of energy storage installation has been about 740MW since the next half of 2015, where the proportion installed on the user side accounts for 54% of the total project. With the increasing of energy storage in a power distribution network, the distributed power supply absorption capacity is greatly influenced, and in the prior art, when the grid-connected capacity of the distributed power supply is evaluated, only the influence of the distributed power supply on the safe and stable operation of the power distribution network is considered, evaluation indexes such as voltage fluctuation and load fluctuation are used as limiting factors, a calculation result has deviation, and the real absorption capacity of the power distribution network on the distributed power supply cannot be correctly reflected.
Disclosure of Invention
In order to overcome the defects that an evaluation result is deviated due to the fact that the power of an energy storage device is not considered in the prior art and the real accepting capacity of a power distribution network to a distributed power supply cannot be reflected correctly, the invention provides a distributed power supply grid-connected capacity evaluation method and a distributed power supply grid-connected capacity evaluation device, firstly, equipment parameters, a topological structure, operation data and initial power of the energy storage device of the power distribution network after the distributed power supply is connected to the grid are obtained, then, a plurality of operation scenes are determined according to the operation data, and load flow calculation is carried out on the power distribution network after the distributed power supply is connected to the grid according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network, so that load flow calculation results under each operation scene are obtained; and finally, evaluating the grid-connected capacity of the distributed power supply according to the load flow calculation result in each operation scene, considering the power of the energy storage device, improving the accuracy of the evaluation result, and correctly reflecting the real accepting capacity of the power distribution network to the distributed power supply.
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
on one hand, the invention provides a distributed power grid connection capability evaluation method, which comprises the following steps:
acquiring equipment parameters, a topological structure, operation data and initial power of an energy storage device of a power distribution network after the distributed power supply is connected to the grid;
determining a plurality of operation scenes according to the operation data, and performing load flow calculation on the power distribution network after the distributed power supply is connected to the grid according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network to obtain load flow calculation results under each operation scene; the load flow calculation result comprises the use capacity of the transformer, the use capacity of the line, the node voltage and the node voltage fluctuation amount;
and evaluating the grid-connected capability of the distributed power supply according to the load flow calculation result in each operation scene.
The equipment parameters comprise transformer parameters and line parameters;
the operation data comprises load operation data and distributed power supply operation data;
the initial power of the energy storage device includes an initial active power of the energy storage device and an initial reactive power of the energy storage device.
The operation scenes comprise a large-load small-power generation scene, a large-load fluctuation power generation scene, a small-load large-power generation scene and a small-load fluctuation power generation scene.
The method for carrying out load flow calculation on the power distribution network after the distributed power supply is connected to the grid according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network to obtain load flow calculation results under each operation scene comprises the following steps:
according to the equipment parameters of the power distribution network, the topological structure, the initial power of the energy storage device and the time sequence matching between the load curve and the output curve of the distributed power supply, power flow calculation is carried out on the power distribution network after the distributed power supply is connected to the power grid by adopting power system simulation software, and power flow calculation results under various operation scenes are obtained.
The method for evaluating the grid-connected capability of the distributed power supply according to the load flow calculation result in each operation scene comprises the following steps:
judging whether the use capacity of the transformer and the use capacity of the line meet corresponding constraint conditions at the same time, if so, entering the next step, and otherwise, reducing the preset installed capacity of the distributed power supply;
judging whether the node voltage and the node voltage fluctuation amount do not exceed the standard, if so, entering the next step, otherwise, judging whether the energy storage device meets the corresponding constraint condition, if so, determining the actual power value and the actual charge state value of the energy storage device, otherwise, reducing the preset installed capacity of the distributed power supply;
and judging whether the use capacity of the transformer, the use flow of the line, the node voltage or the node voltage fluctuation amount are equal to respective limit values, if so, outputting the final installed capacity of the distributed power supply, and evaluating the receiving capacity of the power distribution network after the distributed power supply is connected to the grid, otherwise, increasing the preset installed capacity of the distributed power supply.
The constraint condition corresponding to the use capacity of the transformer is as follows:
S T <S t amount
Wherein S is T Indicating the capacity of the transformer, S T amount Represents the rated capacity of the transformer;
the constraint condition corresponding to the use capacity of the line is as follows:
S L <S l amount
Wherein S is L Indicating the capacity of use of the line, S L amount Indicating the rated capacity of the line.
The judging whether the node voltage and the node voltage fluctuation amount do not exceed the standard includes:
if it satisfies
Figure BDA0001621989540000031
And is
Figure BDA0001621989540000032
The node voltage and the node voltage fluctuation amount are not over-standard, wherein V k Which represents the voltage at the node k and,
Figure BDA0001621989540000033
and
Figure BDA0001621989540000034
respectively representing the lower limit and the upper limit of the voltage of the node kA limit value; dV k Representing the amount of voltage fluctuation of node k,
Figure BDA0001621989540000035
representing the voltage fluctuation limit of node k.
The constraint condition corresponding to the energy storage device is as follows:
Figure BDA0001621989540000036
S SOCmin ≤S SOC0 ≤S SOCmax
wherein, P E0 Representing active power, Q, of the energy storage device E0 Representing reactive power, P, of the energy storage means Forehead (forehead) Represents the rated power of the energy storage device; s. the SOC0 Indicating an initial value of the state of charge of the energy storage device, S SOCmin And S SOCmax Respectively representing a lower limit value and an upper limit value of the state of charge of the energy storage device.
The determining the actual power value and the actual state of charge value of the energy storage device comprises:
determining an active power actual value, a reactive power actual value and a state of charge actual value of the energy storage device according to the following formulas:
Figure BDA0001621989540000037
Figure BDA0001621989540000038
Figure BDA0001621989540000039
wherein, P E Representing the actual value of the active power of the energy storage device, omega c Representing the cut-off frequency, P, of a filter in the energy storage device k Represents the active power of the node k, S represents the Laplace operator, h represents the power adjustment coefficient, S SOC Indicating stored energyThe actual state of charge value of the device, Δ t, represents the sampling interval of the operating data.
The method for evaluating the receiving capacity of the power distribution network after the distributed power supply is connected to the grid comprises the following steps:
calculating the grid-connected benefit of the distributed power supply according to the following formula:
C=(c p +c b )E s +(c g +c b )E p
wherein C represents the grid-connected benefit of the distributed power supply, E s Indicating the amount of power consumed by the distributed power supply, E p Indicating the amount of power on the Internet, c p Indicating electricity price, c g Shows the price of surfing the Internet, c b Representing the electric quantity subsidy price;
judging whether C is more than or equal to C set If so, the receptivity of the power distribution network after the distributed power supply is connected to the grid is good, otherwise, the receptivity of the power distribution network after the distributed power supply is connected to the grid is poor, C set Representing a grid-tie revenue threshold.
The method for evaluating the receiving capacity of the power distribution network after the distributed power supply is connected to the grid comprises the following steps:
calculating the average power supply availability of the power distribution network after the distributed power supply is connected to the grid according to the following formula:
Figure BDA0001621989540000041
wherein ASAI represents the average power supply availability of the power distribution network after the grid connection of the distributed power supply, N k Indicating the number of users of node k, U k The annual average fault power failure time of the node k is represented and has the unit of hour/year;
judging whether ASAI is more than or equal to ASAI set If so, the acceptance capacity of the power distribution network is good after the distributed power supply is connected to the grid, otherwise, the acceptance capacity of the power distribution network is poor after the distributed power supply is connected to the grid, wherein ASAI set Representing an average power availability threshold.
In another aspect, the present invention provides a distributed power grid connection capability evaluation apparatus, including:
the acquisition module is used for acquiring equipment parameters, a topological structure, operation data and initial power of the energy storage device of the power distribution network after the distributed power supply is connected to the grid;
the load flow calculation module is used for determining a plurality of operation scenes according to the operation data, and performing load flow calculation on the power distribution network after the distributed power supply is connected to the grid according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network to obtain a load flow calculation result in each operation scene; the load flow calculation result comprises the use capacity of the transformer, the use capacity of the line, the node voltage and the node voltage fluctuation amount;
and the evaluation module is used for evaluating the grid-connected capability of the distributed power supply according to the load flow calculation result in each operation scene.
The equipment parameters acquired by the acquisition module comprise transformer parameters and line parameters;
the operation data comprises load operation data and distributed power supply operation data;
the initial power of the energy storage device includes an initial active power of the energy storage device and an initial reactive power of the energy storage device.
The load flow calculation module comprises a determination unit, and the operation scenes determined by the determination unit comprise a large-load small-power generation scene, a large-load fluctuation power generation scene, a small-load large-power generation scene and a small-load fluctuation power generation scene.
The load flow calculation module comprises a load flow calculation unit, and the load flow calculation unit is specifically used for:
according to the equipment parameters of the power distribution network, the topological structure, the initial power of the energy storage device and the time sequence matching between the load curve and the output curve of the distributed power supply, power flow calculation is carried out on the power distribution network after the distributed power supply is connected to the power grid by adopting power system simulation software, and power flow calculation results under each operation scene are obtained.
The evaluation module comprises:
the first judgment unit is used for judging whether the use capacity of the transformer and the use capacity of the line simultaneously meet corresponding constraint conditions, if so, the next step is carried out, and otherwise, the preset installed capacity of the distributed power supply is reduced;
the second judgment unit is used for judging whether the node voltage and the node voltage fluctuation amount both do not exceed the standard, if so, entering the next step, otherwise, judging whether the energy storage device meets the corresponding constraint condition, if so, determining the actual power value and the actual charge state value of the energy storage device, and otherwise, reducing the preset installed capacity of the distributed power supply;
and the third judging unit is used for judging whether the using capacity of the transformer, the using flow of the line, the node voltage or the node voltage fluctuation amount are equal to respective limit values or not, if so, outputting the final installed capacity of the distributed power supply, evaluating the receiving capacity of the power distribution network after the distributed power supply is connected to the grid, and otherwise, increasing the preset installed capacity of the distributed power supply.
The constraint condition corresponding to the use capacity of the transformer is as follows:
S T <S t amount
Wherein S is T Indicating the capacity of the transformer, S T amount Representing the rated capacity of the transformer;
the constraint condition corresponding to the use capacity of the line is as follows:
S L <S l forehead
Wherein S is L Indicating the capacity of use of the line, S L forehead Indicating the rated capacity of the line.
The second judging unit is specifically configured to:
if it satisfies
Figure BDA0001621989540000051
And is provided with
Figure BDA0001621989540000052
The node voltage and the node voltage fluctuation amount are not over-standard, wherein V k Which represents the voltage at the node k and,
Figure BDA0001621989540000053
and
Figure BDA0001621989540000054
respectively representing the lower limit value and the upper limit value of the voltage of the node k; dV k Representing the amount of voltage fluctuation at node k,
Figure BDA0001621989540000055
representing the voltage fluctuation limit of node k.
The constraint condition corresponding to the energy storage device is as follows:
Figure BDA0001621989540000056
S SOCmin ≤S SOC0 ≤S SOCmax
wherein, P E0 Representing active power, Q, of the energy storage device E0 Representing reactive power, P, of the energy storage means Forehead (forehead) Represents the rated power of the energy storage device; s SOC0 Indicating an initial value of the state of charge of the energy storage device, S SOCmin And S SOCmax Respectively representing a lower limit value and an upper limit value of the state of charge of the energy storage device.
The second judgment module is specifically configured to:
determining an active power actual value, a reactive power actual value and a state of charge actual value of the energy storage device according to the following formula:
Figure BDA0001621989540000057
Figure BDA0001621989540000061
Figure BDA0001621989540000062
wherein, P E Representing the actual value of the active power of the energy storage device, omega c Representing the cut-off frequency, P, of a filter in the energy storage device k Represents the active power of the node k, S represents the Laplace operator, h represents the power adjustment coefficient, S SOC To representThe actual state of charge of the energy storage device, Δ t, represents the sampling interval of the operating data.
The third determining unit is specifically configured to:
calculating the grid-connected benefit of the distributed power supply according to the following formula:
C=(c p +c b )E s +(c g +c b )E p
wherein C represents the grid-connected benefit of the distributed power supply, E s Indicating the amount of power consumed by the distributed power supply, E p Indicating the amount of power on the Internet, c p Indicating electricity price, c g Shows the price of surfing the Internet, c b Representing the electric quantity subsidy price;
judging whether C is more than or equal to C set If so, the receptivity of the power distribution network is good after the distributed power supply is connected to the grid, otherwise, the receptivity of the power distribution network is poor after the distributed power supply is connected to the grid, and C set Representing a grid-tie revenue threshold.
The third judging unit is specifically configured to:
calculating the average power supply availability of the power distribution network after the distributed power supply is connected to the grid according to the following formula:
Figure BDA0001621989540000063
wherein ASAI represents the average power supply availability of the power distribution network after the grid connection of the distributed power supply, N k Indicating the number of users of node k, U k The annual average fault power failure time of the node k is represented and has the unit of hour/year;
judging whether ASAI is more than or equal to ASAI set If so, the receptivity of the power distribution network after the distributed power supply is connected to the grid is good, otherwise, the receptivity of the power distribution network after the distributed power supply is connected to the grid is poor, wherein ASAI set Representing an average power availability threshold.
Compared with the closest prior art, the technical scheme provided by the invention has the following beneficial effects:
according to the method for evaluating the grid-connected capacity of the distributed power supply, firstly, equipment parameters, a topological structure, operation data and initial power of an energy storage device of a power distribution network after the distributed power supply is connected to the grid are obtained, then a plurality of operation scenes are determined according to the operation data, and load flow calculation is carried out on the power distribution network after the distributed power supply is connected to the grid according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network, so that load flow calculation results under each operation scene are obtained; finally, the grid-connected capability of the distributed power supply is evaluated according to the load flow calculation results in each operation scene, the power of the energy storage device is considered, the accuracy of the evaluation result is improved, and the real accepting capability of the power distribution network to the distributed power supply can be correctly reflected;
the distributed power supply grid-connected capability evaluation device comprises an acquisition module, a load flow calculation module and an evaluation module, wherein the acquisition module is used for acquiring equipment parameters, a topological structure, operation data and initial power of an energy storage device of a power distribution network after the distributed power supply is connected to the grid; the load flow calculation result comprises the using capacity of the transformer, the using capacity of the line, the node voltage and the node voltage fluctuation amount; the evaluation module is used for evaluating the grid-connected capacity of the distributed power supply according to the load flow calculation result in each operation scene, the power of the energy storage device is considered, the accuracy of the evaluation result is improved, and the real accepting capacity of the power distribution network to the distributed power supply can be correctly reflected;
according to the technical scheme provided by the invention, the power of the energy storage device is considered, so that the grid connection capability evaluation of the distributed power supply under the participation of the energy storage device is realized, and the development requirement of the energy storage device in power distribution in the future is met;
according to the technical scheme provided by the invention, the constraint conditions of the use capacity of the transformer, the use capacity of the line, the node voltage fluctuation amount and the power and charge state of the energy storage device are considered, and the grid-connected capacity of the distributed power supply is evaluated from two aspects of economy and reliability, so that the evaluation is more comprehensive.
Drawings
FIG. 1 is a flow chart of a distributed power grid connection capability evaluation method in an embodiment of the invention;
FIG. 2 is a schematic diagram of a model of a power distribution network including distributed photovoltaic and energy storage devices in an embodiment of the invention;
FIG. 3 is a schematic diagram of a load operation scenario formed by operation data of a load in an embodiment of the present invention;
fig. 4 is a schematic view of a photovoltaic operation scene formed by photovoltaic operation data in the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The embodiment of the invention provides a distributed power supply grid-connected capability evaluation method, a specific flow chart is shown in figure 1, and the specific process is as follows:
s101: acquiring equipment parameters, a topological structure, operation data and initial power of an energy storage device of a power distribution network after the distributed power supply is connected to the grid;
s102: determining a plurality of operation scenes according to the operation data, and performing load flow calculation on the power distribution network after the distributed power supply is connected to the grid according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network to obtain load flow calculation results under each operation scene, wherein the load flow calculation results comprise the use capacity of the transformer, the use capacity of the line, the node voltage and the node voltage fluctuation amount;
s103: and evaluating the grid-connected capability of the distributed power supply according to the load flow calculation result in each operation scene.
In S101, a power distribution network model including distributed photovoltaic and energy storage devices is shown in fig. 2, nodes 1 to 17 are all connected to a load, wherein nodes 9, 10, 13 to 17 all have photovoltaic, nodes 11 and 12 all have photovoltaic and energy storage devices, and the capacities of the two energy storage devices are both 180kW/220kWh. The equipment parameters, the topological structure, the operation data and the initial power of the energy storage device of the power distribution network after the distributed power supply is connected to the grid are obtained from the graph 2, wherein the equipment parameters comprise transformer parameters and line parameters, the operation data comprise load operation data and distributed power supply operation data, and the initial power of the energy storage device comprises the initial active power of the energy storage device and the initial reactive power of the energy storage device.
In the above step S102, the operation scenes determined according to the operation data include a large-load small-power generation scene, a large-load fluctuation power generation scene, a small-load large-power generation scene, and a small-load fluctuation power generation scene.
Fig. 3 shows a schematic view of a load operation scene formed by operation data of a load, and two boundary curves may be taken as the load operation scene, where a dotted line represents a large load operation scene and a solid line represents a small load operation scene. A large amount of photovoltaic power generation data are sorted, the fact that photovoltaic power generation output has randomness is found, a part of curves have great fluctuation, distributed photovoltaics can consider the fluctuation output curve and the maximum sunny output curve to be taken as photovoltaic operation scenes when carrying out receiving capacity analysis, the photovoltaic operation scenes formed by the photovoltaic operation data are shown in fig. 4, wherein a dotted line represents the large power generation operation scenes, and a solid line represents the fluctuation power generation operation scenes (the rated capacity is 100 kW).
In the step S102, load flow calculation is performed on the power distribution network after the distributed power supply is connected to the grid according to the device parameters, the topology structure, and the initial power of the energy storage device of the power distribution network, so as to obtain load flow calculation results in each operation scene, and the specific process is as follows:
according to the equipment parameters of the power distribution network, the topological structure, the initial power of the energy storage device and the time sequence matching between the load curve and the output curve of the distributed power supply, power flow calculation is carried out on the power distribution network after the distributed power supply is connected to the power grid by adopting power system simulation software, and power flow calculation results under various operation scenes are obtained.
In step S103, the grid connection capability of the distributed power source is evaluated according to the load flow calculation result in each operation scene, and the specific process is as follows:
1) Judging whether the use capacity of the transformer and the use capacity of the line meet corresponding constraint conditions at the same time, if so, entering the next step, and otherwise, reducing the preset installed capacity of the distributed power supply;
2) Judging whether the node voltage and the node voltage fluctuation amount do not exceed the standard, if so, entering the next step, otherwise, judging whether the energy storage device meets the corresponding constraint condition, if so, determining the actual power value and the actual charge state value of the energy storage device, otherwise, reducing the preset installed capacity of the distributed power supply;
3) And judging whether the use capacity of the transformer, the use flow of the line, the node voltage or the node voltage fluctuation amount are equal to respective limit values, if so, outputting the final installed capacity of the distributed power supply, and evaluating the receiving capacity of the power distribution network after the distributed power supply is connected to the grid, otherwise, increasing the preset installed capacity of the distributed power supply.
In 1) above, the constraint condition corresponding to the use capacity of the transformer is as follows:
S T <S t amount
Wherein S is T Indicating the capacity of the transformer, S T amount Representing the rated capacity of the transformer;
the constraint condition corresponding to the used capacity of the line is as follows:
S L <S l forehead
Wherein S is L Indicating the capacity of use of the line, S L amount Indicating the rated capacity of the line.
In the step 2), it is determined whether the node voltage and the node voltage fluctuation do not exceed the standard, and the specific process is as follows:
if it satisfies
Figure BDA0001621989540000091
And is
Figure BDA0001621989540000092
The node voltage and the node voltage fluctuation amount are not out of limits, wherein V k Which represents the voltage at the node k and,
Figure BDA0001621989540000093
and
Figure BDA0001621989540000094
respectively represent the electricity of node kLower and upper limit values, dV k Representing the amount of voltage fluctuation at node k,
Figure BDA0001621989540000095
representing the voltage fluctuation limit of node k.
Figure BDA0001621989540000096
(referring to the requirement of national standard on voltage fluctuation, the fluctuation frequency is 1 < r and is less than or equal to 10 times/h, the voltage fluctuation limit value is 3 percent, and a certain safety margin is taken as 2.95 percent).
In the embodiment of the invention, under the condition of not considering energy storage configuration, the maximum admissible distributed photovoltaic power generation system capacity of a 10kV power distribution network in the region is 3.2MW; under the condition of considering energy storage configuration, the maximum admissible distributed photovoltaic power generation system capacity of a 10kV power distribution network in the area is 4.44MW.
In 2) above, the constraint condition corresponding to the energy storage device is as follows:
Figure BDA0001621989540000097
S SOCmin ≤S SOC0 ≤S SOCmax
wherein, P E0 Representing active power, Q, of the energy storage device E0 Representing reactive power, P, of the energy storage means Forehead (D) Represents the rated power of the energy storage device; s SOC0 Indicating an initial value of the state of charge of the energy storage device, S SOCmin And S SOCmax Respectively representing a lower limit value and an upper limit value of the state of charge of the energy storage device.
In the step 2), the active power actual value, the reactive power actual value and the state of charge actual value of the energy storage device are determined according to the following formulas:
Figure BDA0001621989540000098
Figure BDA0001621989540000099
Figure BDA0001621989540000101
wherein, P E Representing an actual value of active power of the energy storage device; omega c Representing the cut-off frequency, omega, of a filter in an energy storage device c Take 3.33X 10 -3 Hz;P k The active power of a node k is represented, s represents a Laplace operator, h represents a power adjustment coefficient, and k is 0.0028; s SOC Representing the actual state of charge value of the energy storage device and at representing the sampling interval of the operating data.
In step S103, the receptivity of the power distribution network after grid connection of the distributed power supply may be evaluated from the economic efficiency or reliability:
1) The specific process for evaluating the receiving capacity of the power distribution network after the grid connection of the distributed power supply from the economy is as follows:
1-1) calculating the grid-connected benefit of the distributed power supply according to the following formula:
C=(c p +c b )E s +(c g +c b )E p
wherein C represents the grid-connected benefit of the distributed power supply, E s Indicating the amount of power consumed by the distributed power supply, E p Indicating the amount of power on the Internet, c p Indicating electricity price, c p Taking 0.895 yuan/kWh; c. C g Shows the price of surfing the Internet, c b Indicates a subsidy price, c b Taking 0.42 yuan/kWh;
1-2) judging whether C is more than or equal to C set If so, the receptivity of the power distribution network after the distributed power supply is connected to the grid is good, otherwise, the receptivity of the power distribution network after the distributed power supply is connected to the grid is poor, C set Representing a grid-tie revenue threshold.
As described above, the distributed power generation grid-connected income is 267.6 ten thousand yuan/year without considering the energy storage configuration, and the distributed power generation grid-connected income is 374.8 ten thousand yuan/year with considering the energy storage configuration, so that the distributed power generation grid-connected income is better with considering the energy storage configuration.
2) The specific process of evaluating the receiving capacity of the power distribution network after the distributed power supply is connected to the grid from the reliability is as follows:
2-1) calculating the average power supply availability of the power distribution network after the distributed power supply is connected to the grid according to the following formula:
Figure BDA0001621989540000102
wherein ASAI represents the average power supply availability of the power distribution network after the grid connection of the distributed power supply, N k Indicating the number of users of node k, U k The annual average fault power failure time of the node k is represented and has the unit of hour/year;
2-2) judging whether the ASAI is more than or equal to the ASAI set If so, the receptivity of the power distribution network after the distributed power supply is connected to the grid is good, otherwise, the receptivity of the power distribution network after the distributed power supply is connected to the grid is poor, wherein ASAI set Representing an average power availability threshold.
Based on the same inventive concept, the embodiment of the present invention further provides a distributed power grid connection capability evaluation apparatus, which includes an acquisition module, a load flow calculation module and an evaluation module, and the following describes the above modules in detail respectively:
the acquisition module is used for acquiring equipment parameters, a topological structure, operation data and initial power of the energy storage device of the power distribution network after the distributed power supply is connected to the grid;
the load flow calculation module is used for determining a plurality of operation scenes according to the operation data, and carrying out load flow calculation on the power distribution network after the distributed power supply is connected to the grid according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network to obtain load flow calculation results under each operation scene; the load flow calculation result comprises the using capacity of the transformer, the using capacity of the line, the node voltage and the node voltage fluctuation amount;
and the evaluation module is used for evaluating the grid-connected capability of the distributed power supply according to the load flow calculation result in each operation scene.
The equipment parameters acquired by the acquisition module comprise transformer parameters and line parameters, the acquired operation data comprise load operation data and distributed power supply operation data, and the acquired initial power of the energy storage device comprises initial active power of the energy storage device and initial reactive power of the energy storage device.
The load flow calculation module comprises a determination unit, and the operation scenes determined by the determination unit comprise a large-load small-power generation scene, a large-load fluctuation power generation scene, a small-load large-power generation scene and a small-load fluctuation power generation scene.
The load flow calculation module further comprises a load flow calculation unit, and the specific process of carrying out load flow calculation on the power distribution network after the distributed power supply is connected to the grid by the load flow calculation unit according to the equipment parameters of the power distribution network, the topological structure and the initial power of the energy storage device is as follows:
according to the equipment parameters of the power distribution network, the topological structure, the initial power of the energy storage device and the time sequence matching between the load curve and the output curve of the distributed power supply, power flow calculation is carried out on the power distribution network after the distributed power supply is connected to the power grid by adopting power system simulation software, and power flow calculation results under various operation scenes are obtained.
The above-mentioned evaluation module includes:
the first judgment unit is used for judging whether the use capacity of the transformer and the use capacity of the line simultaneously meet corresponding constraint conditions, if so, the next step is carried out, and otherwise, the preset installed capacity of the distributed power supply is reduced;
the second judgment unit is used for judging whether the node voltage and the node voltage fluctuation amount both do not exceed the standard, if so, entering the next step, otherwise, judging whether the energy storage device meets the corresponding constraint condition, if so, determining the actual power value and the actual charge state value of the energy storage device, and otherwise, reducing the preset installed capacity of the distributed power supply;
and the third judging unit is used for judging whether the using capacity of the transformer, the using flow of the line, the node voltage or the node voltage fluctuation amount are equal to respective limit values or not, if so, outputting the final installed capacity of the distributed power supply, evaluating the receiving capacity of the power distribution network after the distributed power supply is connected to the grid, and otherwise, increasing the preset installed capacity of the distributed power supply.
The constraint condition corresponding to the use capacity of the transformer is as follows:
S T <S t amount
Wherein S is T Indicating the capacity of the transformer, S T amount Representing the rated capacity of the transformer;
the constraint condition corresponding to the use capacity of the line is as follows:
S L <S l forehead
Wherein S is L Indicating the capacity of use of the line, S L amount Indicating the rated capacity of the line.
The second determining unit determines whether the node voltage and the node voltage fluctuation amount both do not exceed the standard as follows:
if it satisfies
Figure BDA0001621989540000121
And is provided with
Figure BDA0001621989540000122
The node voltage and the node voltage fluctuation amount are not over-standard, wherein V k Which represents the voltage at the node k and,
Figure BDA0001621989540000123
and
Figure BDA0001621989540000124
respectively representing the lower limit value and the upper limit value of the voltage of the node k; dV k Representing the amount of voltage fluctuation at node k,
Figure BDA0001621989540000125
representing the voltage fluctuation limit of node k.
The constraint condition corresponding to the energy storage device is as follows:
Figure BDA0001621989540000126
S SOCmin ≤S SOC0 ≤S SOCmax
wherein,P E0 representing the active power, Q, of the energy storage device E0 Representing reactive power, P, of the energy storage means Forehead (D) Represents the rated power of the energy storage device; s SOC0 Indicating an initial value of the state of charge of the energy storage device, S SOCmin And S SOCmax Respectively representing a lower limit value and an upper limit value of the state of charge of the energy storage device.
The second judging module determines an active power actual value, a reactive power actual value and a charge state actual value of the energy storage device according to the following formulas:
Figure BDA0001621989540000127
Figure BDA0001621989540000128
Figure BDA0001621989540000129
wherein, P E Representing the actual value of active power, omega, of the energy storage means c Representing the cut-off frequency, P, of a filter in the energy storage device k Represents the active power of the node k, S represents the Laplace operator, h represents the power adjustment coefficient, S SOC Representing the actual state of charge value of the energy storage device and at representing the sampling interval of the operating data.
The third judging unit can evaluate the receiving capacity of the power distribution network after the distributed power supply is connected to the grid from the economical efficiency or the reliability:
1) The specific process of evaluating the receiving capacity of the power distribution network after the grid connection of the distributed power supply by the third judgment unit from the economy is as follows:
1-1) calculating the grid-connected benefit of the distributed power supply according to the following formula:
C=(c p +c b )E s +(c g +c b )E p
wherein C represents the grid-connected benefit of the distributed power supply, E s Indicating the amount of power consumed by the distributed power supply, E p Indicating the amount of power on the Internet, c p Indicating electricity price, c g Shows the price of surfing the Internet, c b Representing the electric quantity subsidy price;
1-2) judging whether C is more than or equal to C set If so, the receptivity of the power distribution network after the distributed power supply is connected to the grid is good, otherwise, the receptivity of the power distribution network after the distributed power supply is connected to the grid is poor, C set Representing a grid-tie benefit threshold.
2) The third judgment unit evaluates the specific process of the receiving capacity of the power distribution network after the distributed power supply is connected to the grid from the reliability as follows:
2-1) calculating the average power supply availability of the power distribution network after the distributed power supply is connected to the grid according to the following formula:
Figure BDA0001621989540000131
wherein ASAI represents the average power supply availability of the power distribution network after the grid connection of the distributed power supply, N k Indicating the number of users of node k, U k The annual average fault power failure time of the node k is represented and has the unit of hour/year;
2-2) judging whether the ASAI is more than or equal to the ASAI set If so, the acceptance capacity of the power distribution network is good after the distributed power supply is connected to the grid, otherwise, the acceptance capacity of the power distribution network is poor after the distributed power supply is connected to the grid, wherein ASAI set Representing an average power availability threshold.
For convenience of description, each part of the above-described apparatus is separately described as being functionally divided into various modules or units. Of course, the functionality of the various modules or units may be implemented in the same one or more pieces of software or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same, and those skilled in the art can make modifications or equivalent substitutions to the specific embodiments of the present invention with reference to the above embodiments, and any modifications or equivalent substitutions which do not depart from the spirit and scope of the present invention are within the scope of the claims of the present invention as filed in the application.

Claims (14)

1. A distributed power supply grid-connected capability evaluation method is characterized by comprising the following steps:
acquiring equipment parameters, a topological structure, operation data and initial power of an energy storage device of a power distribution network after the distributed power supply is connected to the grid;
determining a plurality of operation scenes according to the operation data, and performing load flow calculation on the power distribution network after the distributed power supply is connected to the grid according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network to obtain load flow calculation results under each operation scene; the load flow calculation result comprises the use capacity of the transformer, the use capacity of the line, the node voltage and the node voltage fluctuation amount;
evaluating the grid-connected capability of the distributed power supply according to the load flow calculation result in each operation scene;
the equipment parameters comprise transformer parameters and line parameters;
the operation data comprises load operation data and distributed power supply operation data;
the initial power of the energy storage device comprises initial active power of the energy storage device and initial reactive power of the energy storage device;
the operation scenes comprise a large-load small-power generation scene, a large-load fluctuation power generation scene, a small-load large-power generation scene and a small-load fluctuation power generation scene;
the method comprises the following steps of carrying out load flow calculation on the power distribution network after the distributed power supply is connected to the power distribution network according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network to obtain load flow calculation results in each operation scene, wherein the load flow calculation results comprise:
according to equipment parameters of the power distribution network, a topological structure, initial power of an energy storage device and time sequence matching between a load curve and an output curve of the distributed power supply, carrying out load flow calculation on the power distribution network after the distributed power supply is connected to the power grid by adopting power system simulation software, and obtaining load flow calculation results under each operation scene;
the method for evaluating the grid-connected capability of the distributed power supply according to the load flow calculation result in each operation scene comprises the following steps:
judging whether the use capacity of the transformer and the use capacity of the line simultaneously meet corresponding constraint conditions, if so, entering the next step, and otherwise, reducing the preset installed capacity of the distributed power supply;
judging whether the node voltage and the node voltage fluctuation amount do not exceed the standard, if so, entering the next step, otherwise, judging whether the energy storage device meets the corresponding constraint condition, if so, determining the actual power value and the actual charge state value of the energy storage device, otherwise, reducing the preset installed capacity of the distributed power supply;
and judging whether the use capacity of the transformer, the use capacity of the line, the node voltage or the node voltage fluctuation amount are equal to respective limit values, if so, outputting the final installed capacity of the distributed power supply, evaluating the receiving capacity of the power distribution network after the distributed power supply is connected to the grid, and otherwise, increasing the preset installed capacity of the distributed power supply.
2. The distributed power supply grid connection capability evaluation method according to claim 1, wherein the constraint condition corresponding to the use capacity of the transformer is as follows:
S T <S t amount
Wherein S is T Indicating the capacity of the transformer, S T amount Represents the rated capacity of the transformer;
the constraint condition corresponding to the use capacity of the line is as follows:
S L <S l amount
Wherein S is L Indicating the capacity of use of the line, S L forehead Indicating the rated capacity of the line.
3. The distributed power supply grid-connection capability evaluation method according to claim 1, wherein the step of judging whether the node voltage and the node voltage fluctuation amount both do not exceed the standard comprises the steps of:
if it satisfies
Figure FDA0003711908890000021
And is provided with
Figure FDA0003711908890000022
The node voltage and the node voltage fluctuation amount are not out of limits, wherein V k Which represents the voltage at the node k and,
Figure FDA0003711908890000023
and
Figure FDA0003711908890000024
respectively representing the lower limit value and the upper limit value of the voltage of the node k; dV k Representing the amount of voltage fluctuation at node k,
Figure FDA0003711908890000025
representing the voltage fluctuation limit of node k.
4. The distributed power grid connection capability evaluation method according to claim 3, wherein the constraint condition corresponding to the energy storage device is as follows:
Figure FDA0003711908890000026
S SOCmin ≤S SOC0 ≤S SOCmax
wherein, P E0 Representing active power, Q, of the energy storage device E0 Representing reactive power, P, of the energy storage means Forehead (D) Represents the rated power of the energy storage device; s SOC0 Indicating an initial value of the state of charge of the energy storage device, S SOCmin And S SOCmax Respectively representing a lower limit value and an upper limit value of the state of charge of the energy storage device.
5. The distributed power supply grid-connection capability evaluation method according to claim 4, wherein the determining of the power actual value and the state-of-charge actual value of the energy storage device comprises:
determining an active power actual value, a reactive power actual value and a state of charge actual value of the energy storage device according to the following formula:
Figure FDA0003711908890000027
Figure FDA0003711908890000028
Figure FDA0003711908890000031
wherein, P E Representing the actual value of active power, omega, of the energy storage means c Representing the cut-off frequency, P, of a filter in the energy storage device k Represents the active power of the node k, S represents the Laplace operator, h represents the power adjustment coefficient, S SOC Representing the actual state of charge of the energy storage device and at representing the sampling interval of the operating data.
6. The distributed power supply grid connection capability evaluation method according to claim 1, wherein the evaluation of the receptivity of the distribution network after grid connection of the distributed power supply comprises:
calculating the grid-connected benefit of the distributed power supply according to the following formula:
C=(c p +c b )E s +(c g +c b )E p
wherein C represents the grid-connected benefit of the distributed power supply, E s Indicating the amount of power consumed by the distributed power supply, E p Indicating the amount of power on the Internet, c p Indicating electricity price, c g Shows the price of surfing the Internet, c b Representing the electric quantity subsidy price;
judging whether C is more than or equal to C set If so, the receptivity of the power distribution network is good after the distributed power supply is connected to the grid, otherwise, the receptivity of the power distribution network is poor after the distributed power supply is connected to the grid, and C set Representing a grid-tie revenue threshold.
7. The distributed power supply grid connection capability evaluation method according to claim 1, wherein the evaluation of the receptivity of the distribution network after grid connection of the distributed power supply comprises:
calculating the average power supply availability of the power distribution network after the distributed power supply is connected to the grid according to the following formula:
Figure FDA0003711908890000032
wherein ASAI represents the average power supply availability of the power distribution network after the grid connection of the distributed power supply, N k Indicating the number of users of node k, U k The annual average fault power failure time of the node k is represented and has the unit of hour/year;
judging whether the ASAI is more than or equal to the ASAI set If so, the acceptance capacity of the power distribution network is good after the distributed power supply is connected to the grid, otherwise, the acceptance capacity of the power distribution network is poor after the distributed power supply is connected to the grid, wherein ASAI set Representing an average power availability threshold.
8. The utility model provides a distributed generator ability evaluation device that is incorporated into power networks which characterized in that includes:
the acquisition module is used for acquiring equipment parameters, a topological structure, operation data and initial power of the energy storage device of the power distribution network after the distributed power supply is connected to the grid;
the load flow calculation module is used for determining a plurality of operation scenes according to the operation data, and performing load flow calculation on the power distribution network after the distributed power supply is connected to the grid according to the equipment parameters, the topological structure and the initial power of the energy storage device of the power distribution network to obtain a load flow calculation result in each operation scene; the load flow calculation result comprises the use capacity of the transformer, the use capacity of the line, the node voltage and the node voltage fluctuation amount;
the evaluation module is used for evaluating the grid-connected capability of the distributed power supply according to the load flow calculation result in each operation scene;
the equipment parameters acquired by the acquisition module comprise transformer parameters and line parameters;
the operation data comprises load operation data and distributed power supply operation data;
the initial power of the energy storage device comprises initial active power of the energy storage device and initial reactive power of the energy storage device;
the load flow calculation module comprises a determination unit, and the operation scenes determined by the determination unit comprise a large-load small-power generation scene, a large-load fluctuation power generation scene, a small-load large-power generation scene and a small-load fluctuation power generation scene; the load flow calculation module comprises a load flow calculation unit, and the load flow calculation unit is specifically used for:
according to the equipment parameters of the power distribution network, the topological structure, the initial power of the energy storage device and the time sequence matching between the load curve and the output curve of the distributed power supply, carrying out load flow calculation on the power distribution network after the distributed power supply is connected to the power grid by adopting power system simulation software to obtain load flow calculation results in each operation scene;
the evaluation module comprises:
the first judgment unit is used for judging whether the use capacity of the transformer and the use capacity of the line simultaneously meet corresponding constraint conditions, if so, the next step is carried out, and otherwise, the preset installed capacity of the distributed power supply is reduced;
the second judging unit is used for judging whether the node voltage and the node voltage fluctuation amount both do not exceed the standard, if so, entering the next step, otherwise, judging whether the energy storage device meets the corresponding constraint condition, if so, determining the power actual value and the charge state actual value of the energy storage device, and otherwise, reducing the preset installed capacity of the distributed power supply;
and the third judging unit is used for judging whether the using capacity of the transformer, the using capacity of the line, the node voltage or the node voltage fluctuation amount are equal to respective limit values or not, if yes, outputting the final installed capacity of the distributed power supply, evaluating the receiving capacity of the power distribution network after the distributed power supply is connected to the grid, and otherwise, increasing the preset installed capacity of the distributed power supply.
9. The distributed power grid connection capability evaluation device according to claim 8, wherein the constraint condition corresponding to the use capacity of the transformer is as follows:
S T <S t amount
Wherein S is T Indicating the capacity of the transformer, S T amount Representing the rated capacity of the transformer;
the constraint condition corresponding to the use capacity of the line is as follows:
S L <S l amount
Wherein S is L Indicating the capacity of use of the line, S L amount Indicating the rated capacity of the line.
10. The distributed power grid connection capability evaluation device according to claim 8, wherein the second determination unit is specifically configured to:
if it satisfies
Figure FDA0003711908890000051
And is
Figure FDA0003711908890000052
The node voltage and the node voltage fluctuation amount are not out of limits, wherein V k Which represents the voltage at the node k and,
Figure FDA0003711908890000053
and
Figure FDA0003711908890000054
respectively representing the lower limit value and the upper limit value of the voltage of the node k; dV k Representing the amount of voltage fluctuation at node k,
Figure FDA0003711908890000055
representing the voltage fluctuation limit of node k.
11. The distributed power grid connection capability evaluation device according to claim 10, wherein the constraint condition corresponding to the energy storage device is as follows:
Figure FDA0003711908890000056
S SOCmin ≤S SOC0 ≤S SOCmax
wherein, P E0 Representing the active power, Q, of the energy storage device E0 Representing reactive power, P, of the energy storage means Forehead (forehead) Represents the rated power of the energy storage device; s SOC0 Indicating an initial value of the state of charge of the energy storage device, S SOCmin And S SOCmax Respectively representing a lower limit value and an upper limit value of the state of charge of the energy storage device.
12. The distributed power grid connection capability evaluation device according to claim 11, wherein the second determination unit is specifically configured to:
determining an active power actual value, a reactive power actual value and a state of charge actual value of the energy storage device according to the following formulas:
Figure FDA0003711908890000057
Figure FDA0003711908890000058
Figure FDA0003711908890000059
wherein, P E Representing the actual value of the active power of the energy storage device, omega c Representing the cut-off frequency, P, of a filter in the energy storage device k Represents the active power of the node k, S represents a Laplacian operator, h represents a power adjustment coefficient, S SOC Representing the actual state of charge value of the energy storage device and at representing the sampling interval of the operating data.
13. The distributed power grid connection capability evaluation device according to claim 8, wherein the third determination unit is specifically configured to:
calculating the grid-connected benefit of the distributed power supply according to the following formula:
C=(c p +c b )E s +(c g +c b )E p
wherein C represents the grid-connected benefit of the distributed power supply, E s Indicating the amount of power consumed by the distributed power supply, E p Indicating the amount of power on the Internet, c p Indicating electricity price, c g Indicating price of surfing the Internet, c b Representing the electric quantity subsidy price;
judging whether C is more than or equal to C set If so, the receptivity of the power distribution network after the distributed power supply is connected to the grid is good, otherwise, the receptivity of the power distribution network after the distributed power supply is connected to the grid is poor, C set Representing a grid-tie benefit threshold.
14. The distributed power grid connection capability evaluation device according to claim 8, wherein the third determination unit is specifically configured to:
calculating the average power supply availability of the power distribution network after the distributed power supply is connected to the grid according to the following formula:
Figure FDA0003711908890000061
wherein ASAI represents the average power supply availability of the power distribution network after the grid connection of the distributed power supply, N k Indicating the number of users of node k, U k The annual average fault power failure time of the node k is represented and has the unit of hour/year;
judging whether ASAI is more than or equal to ASAI set If so, the receptivity of the power distribution network after the distributed power supply is connected to the grid is good, otherwise, the receptivity of the power distribution network after the distributed power supply is connected to the grid is poor, wherein ASAI set Representing an average power availability threshold.
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