CN114492091B - Method for monitoring chargeable allowance of platform region electric automobile considering N-1 safety - Google Patents

Method for monitoring chargeable allowance of platform region electric automobile considering N-1 safety Download PDF

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CN114492091B
CN114492091B CN202210392459.5A CN202210392459A CN114492091B CN 114492091 B CN114492091 B CN 114492091B CN 202210392459 A CN202210392459 A CN 202210392459A CN 114492091 B CN114492091 B CN 114492091B
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transformer
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CN114492091A (en
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王迎秋
祖国强
张剑
穆云飞
徐科
贺春
李思维
赵越
任博强
袁新润
郝爽
李少雄
谢秦
李硕
甘智勇
葛淑娴
张卫欣
姚瑛
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Tianjin University
State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
State Grid Tianjin Electric Power Co Ltd
Electric Power Research Institute of State Grid Tianjin Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
State Grid Tianjin Electric Power Co Ltd
Electric Power Research Institute of State Grid Tianjin Electric Power Co Ltd
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Abstract

The invention relates to a method for monitoring the chargeable allowance of an electric automobile in a distribution area in consideration of N-1 safety, which realizes the visual monitoring of the chargeable allowance of the electric automobile in the distribution area by considering the N-1 safety criterion of a power distribution system and the comprehensive influence of a plurality of areas EV charging on a medium-voltage distribution network and based on the safety domain theory of the power system. The method can provide technical support for the power distribution network to accept safe charging of large-scale electric vehicles, can be further used for optimal scheduling aid decision in future electric vehicle-power grid interaction, and can help to achieve the double-carbon target in the traffic field. Meanwhile, in the future, large-scale EV and a power distribution network are subjected to intelligent interaction, and the visual aid decision index is provided for the intelligent interaction.

Description

Method for monitoring chargeable allowance of platform region electric automobile considering N-1 safety
Technical Field
The invention belongs to the technical field of safe operation of a power distribution network, and particularly relates to a method for monitoring the chargeable allowance of an electric automobile in a transformer area considering N-1 safety.
Background
By the expected year 2030, billions of all Electric Vehicles (EVs) are kept in the country, and large-scale EV charging will greatly increase the safe power supply pressure of the distribution grid. The distribution transformer area refers to a local distribution system formed by a 10kV/0.4kV distribution transformer and low-voltage distribution lines, loads, distributed power supplies and the like supplied by the distribution transformer. Because the EV is generally directly connected to the 0.4kV line supplied by the distribution station, large-scale EV centralized charging easily causes distribution transformation of the station and heavy load or overload of the line, and further threatens the safe operation of the medium-low voltage distribution system.
With the improvement of the digitization level of the power distribution network, the power distribution station area has basic conditions for monitoring the charging power of the EV, so that reasonable monitoring and evaluation of the chargeable allowance of the EV are very important for the safe operation of the medium-low voltage power distribution network. The chargeable allowance of the district EV is the maximum chargeable power which can be increased in a district and meets a certain safety constraint condition under a certain time section, and is positively correlated with the number of the EV which can be charged.
By retrieving the existing public data, the current calculation method of the EV chargeable margin mainly considers the power battery, the power constraint of the charging pile, the constraint of the accessed superior line, the capacity constraint of the transformer area and the like, and shows a two-dimensional histogram and the like. The N-1 safety criterion is the most basic principle of distribution network planning and operation, and means that a distribution system can still ensure the load power supply of a non-fault area after a single element fails and meet the operation constraint of system requirements. However, the existing assessment method for the EV chargeable margin of the distribution area cannot consider the N-1 safety criterion of the distribution network, and the calculated result is too aggressive and threatens the operation safety of the distribution network. In addition, the existing method cannot give consideration to the interaction influence of the EV charging conditions of a plurality of transformer areas on the safety of the medium-voltage distribution network, so that the calculated result cannot guide the safety analysis of the global distribution network.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a method for monitoring the chargeable allowance of an electric vehicle in a transformer area considering N-1 safety, can provide technical support for a power distribution network to accept large-scale electric vehicle safety charging, can be further used for optimal scheduling auxiliary decision in future electric vehicle-power grid interaction, and can help to realize the double-carbon target in the traffic field.
The technical problem to be solved by the invention is realized by adopting the following technical scheme:
a method for monitoring the chargeable allowance of an electric automobile in a transformer area considering N-1 safety comprises the following steps:
step 1, constructing an EV-containing power distribution system security domain model of a platform area view angle;
step 2, performing DSSR visualization by taking the power of the distribution system of the transformer area EV as a viewing angle according to the security domain model established in the step 1;
step 3, calculating the chargeable margin index of the distribution system of the distribution area EV based on the security domain model according to the DSSR visualization in the step 2;
and 4, constructing a power distribution internet of things cloud-edge cooperative framework, and monitoring the charging condition of the distribution area EV power distribution system according to the chargeable allowance index of the distribution area EV power distribution system calculated in the step 3.
Further, the step 1 includes the steps of:
1.1, constructing a state space model containing an EV power distribution system:
Figure DEST_PATH_IMAGE002
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE004
is a working point;
Figure DEST_PATH_IMAGE006
for the net power at the node 1 to be,
Figure DEST_PATH_IMAGE008
is a nodeiThe net power of the power is that of the power,
Figure DEST_PATH_IMAGE010
is a node
Figure DEST_PATH_IMAGE012
Net power;
Figure DEST_PATH_IMAGE014
as a station area node
Figure DEST_PATH_IMAGE016
The load power of the access;
Figure DEST_PATH_IMAGE018
generating power for a distributed power supply;
Figure DEST_PATH_IMAGE020
charging load power for the EV power distribution system; at the same time
Figure DEST_PATH_IMAGE021
The constraint conditions of (1) are:
Figure DEST_PATH_IMAGE023
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE025
for distribution transformers
Figure DEST_PATH_IMAGE027
The capacity of (a) is set to be,
Figure DEST_PATH_IMAGE029
the power reverse feeding upper limit coefficient;
Figure DEST_PATH_IMAGE031
for distribution transformer
Figure DEST_PATH_IMAGE033
A heavy duty factor;
step 1.2, constructing a normal operation constraint model of the EV power distribution system; the normal operation constraint model comprises normal operation line capacity constraint and normal operation main transformer capacity constraint,
wherein, the normal operation line capacity constraint is as follows:
Figure DEST_PATH_IMAGE035
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE037
is a line
Figure DEST_PATH_IMAGE039
The power of (a) is determined,
Figure DEST_PATH_IMAGE041
as a line
Figure 906245DEST_PATH_IMAGE039
The set of all the nodes downstream is,
Figure DEST_PATH_IMAGE043
is a line
Figure 942990DEST_PATH_IMAGE039
The capacity of (a) is set to be,
Figure DEST_PATH_IMAGE045
for all linesThe set of (a) and (b),
Figure DEST_PATH_IMAGE047
is a node
Figure DEST_PATH_IMAGE049
Net power;
the capacity constraint of a normally-operated main transformer is as follows:
Figure DEST_PATH_IMAGE051
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE053
is a main transformer
Figure 467643DEST_PATH_IMAGE039
The power of (a) is determined,
Figure DEST_PATH_IMAGE055
for the main change of
Figure 536093DEST_PATH_IMAGE039
The set of all the nodes downstream is,
Figure DEST_PATH_IMAGE057
for the main change of
Figure 347054DEST_PATH_IMAGE039
The rated capacity of the battery pack is set,
Figure DEST_PATH_IMAGE059
the method comprises the following steps of (1) collecting all main transformers;
step 1.3, an EV power distribution system N-1 safety criterion constraint model;
the N-1 safety criterion constraint modeling comprises N-1 line capacity constraint and N-1 main transformer capacity constraint,
wherein the N-1 line capacity constraint is:
Figure DEST_PATH_IMAGE061
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE063
as a line
Figure 71428DEST_PATH_IMAGE039
The power of (a) is determined,
Figure DEST_PATH_IMAGE065
is a branch
Figure 990318DEST_PATH_IMAGE039
A downstream node set of (2);
Figure DEST_PATH_IMAGE067
as a line
Figure 178854DEST_PATH_IMAGE039
The capacity of (a) is set to be,
Figure DEST_PATH_IMAGE069
is the set of all lines;
Figure DEST_PATH_IMAGE071
is a component on the line;
the N-1 main transformer capacity constraint is as follows:
Figure DEST_PATH_IMAGE073
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE075
is a main transformer
Figure 832820DEST_PATH_IMAGE039
The power of (a) is determined,
Figure DEST_PATH_IMAGE077
for the main change of
Figure 841227DEST_PATH_IMAGE039
Is to be transmitted to the downstream node set of,
Figure DEST_PATH_IMAGE079
is a main transformer
Figure 832317DEST_PATH_IMAGE039
The rated capacity of the air conditioner (c),
Figure DEST_PATH_IMAGE081
the method comprises the following steps of (1) collecting all main transformers;
step 1.4, according to the state space model, the normal operation constraint model and the N-1 safety criterion constraint model:
Figure DEST_PATH_IMAGE083
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE085
is the first
Figure DEST_PATH_IMAGE087
In a hyperplane
Figure DEST_PATH_IMAGE089
The coefficient of (a).
Further, the step 2 includes the steps of:
step 2.1, judging the number of the concerned areas needing to be selected, if the number of the concerned areas is 2, performing step 2.2, and if the number of the concerned areas is 3, performing step 2.3;
2.2, performing DSSR two-dimensional visualization by taking the power of the distribution system of the transformer area EV as a viewing angle;
and 2.3, performing DSSR three-dimensional visualization by taking the power of the distribution system of the station area EV as a viewing angle.
Moreover, the specific implementation method of the step 2.2 is as follows: for containing
Figure DEST_PATH_IMAGE091
Distribution network of each distribution area, and the distribution area concerned is selected
Figure DEST_PATH_IMAGE093
And platform area
Figure DEST_PATH_IMAGE095
Get it
Figure DEST_PATH_IMAGE097
The system power distribution at the moment, the fixed variable becomes constant:
Figure DEST_PATH_IMAGE099
wherein, the first and the second end of the pipe are connected with each other,
Figure DEST_PATH_IMAGE101
is a platform area
Figure DEST_PATH_IMAGE103
The net power of the power is that of the power,
Figure DEST_PATH_IMAGE105
system for controlling a power supplytTime zone
Figure 492669DEST_PATH_IMAGE103
The net power of the power converter,
Figure DEST_PATH_IMAGE107
is a platform areaiThe power of all the loads is set to be,
Figure DEST_PATH_IMAGE109
is a systemtTime zoneiThe power of all the loads is set to be,
Figure DEST_PATH_IMAGE111
is a platform areaiThe output power of all of the distributed power sources,
Figure DEST_PATH_IMAGE113
is a system oftTime zoneiThe output power of all of the distributed power sources,
Figure DEST_PATH_IMAGE115
is a platform areajThe power consumed by all of the loads is,
Figure DEST_PATH_IMAGE117
is a systemtTime zonejThe power consumed by all of the loads is,
Figure DEST_PATH_IMAGE119
is a platform areajThe output power of all of the distributed power sources,
Figure DEST_PATH_IMAGE121
is a systemtTime zonejThe output power of all of the distributed power sources,
Figure DEST_PATH_IMAGE123
numbering the transformer area;
get about
Figure DEST_PATH_IMAGE125
、
Figure DEST_PATH_IMAGE127
A set of boundary equations having
Figure DEST_PATH_IMAGE129
The method comprises the following steps:
Figure DEST_PATH_IMAGE131
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE133
(ii) a Will be provided with
Figure DEST_PATH_IMAGE135
The equation is projected on
Figure 737443DEST_PATH_IMAGE125
Is a transverse axis and
Figure DEST_PATH_IMAGE136
on a two-dimensional coordinate system of vertical axis, the relation
Figure DEST_PATH_IMAGE137
And
Figure 701988DEST_PATH_IMAGE127
is displayed on the display.
Moreover, the specific implementation method of the step 2.3 is as follows: for containing
Figure DEST_PATH_IMAGE139
The distribution network of each distribution area selects the concerned distribution area
Figure DEST_PATH_IMAGE141
Platform area
Figure DEST_PATH_IMAGE143
And platform area
Figure DEST_PATH_IMAGE145
Get it
Figure DEST_PATH_IMAGE147
The system power distribution at the moment, the fixed variable becomes constant:
Figure DEST_PATH_IMAGE149
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE150
is a platform area
Figure 312748DEST_PATH_IMAGE103
The net power of the power is that of the power,
Figure 741455DEST_PATH_IMAGE105
is a systemtTime zonexThe net power of the power converter,
Figure DEST_PATH_IMAGE152
is a platform area
Figure DEST_PATH_IMAGE154
The power consumed by all of the loads is,
Figure DEST_PATH_IMAGE156
is a systemtTime zone
Figure DEST_PATH_IMAGE157
The power consumed by all of the loads is,
Figure DEST_PATH_IMAGE159
is a platform area
Figure 206066DEST_PATH_IMAGE154
The output power of all of the distributed power sources,
Figure DEST_PATH_IMAGE161
is a systemtTime zone
Figure 189065DEST_PATH_IMAGE154
The output power of all distributed power supplies; is obtained only about
Figure DEST_PATH_IMAGE162
、
Figure DEST_PATH_IMAGE163
And
Figure DEST_PATH_IMAGE165
a set of boundary equations containing
Figure DEST_PATH_IMAGE167
The method comprises the following steps:
Figure DEST_PATH_IMAGE169
wherein the content of the first and second substances,
Figure 394394DEST_PATH_IMAGE125
is a platform areaiThe charging power of the electric automobile,
Figure 412029DEST_PATH_IMAGE136
Is a platform areajThe charging power of the electric automobile,
Figure DEST_PATH_IMAGE170
Is a platform areakThe charging power of the electric vehicle of (1),
Figure DEST_PATH_IMAGE172
(ii) a Will be provided with
Figure DEST_PATH_IMAGE174
An equation is projected on
Figure 641016DEST_PATH_IMAGE125
、
Figure 376891DEST_PATH_IMAGE136
And
Figure 44632DEST_PATH_IMAGE170
on a three-dimensional coordinate system of axes, the method is related to
Figure 916773DEST_PATH_IMAGE137
、
Figure 644558DEST_PATH_IMAGE127
And
Figure DEST_PATH_IMAGE175
the three-dimensional visualization image of (2).
Moreover, the specific implementation method of step 3 is as follows:
Figure DEST_PATH_IMAGE177
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE179
is hyperplaneH sVariable of (2)
Figure DEST_PATH_IMAGE181
The coefficient of (a) is determined,
Figure 743095DEST_PATH_IMAGE181
for charging the electric automobile in the platform area 1,
Figure DEST_PATH_IMAGE183
is hyperplaneH sVariable of (2)
Figure DEST_PATH_IMAGE185
The coefficient of (a) is determined,
Figure 166859DEST_PATH_IMAGE185
is a platform areanThe charging power of the electric vehicle;
Figure DEST_PATH_IMAGE187
to visualize a hyperplane border in the image from the DSSR with the power of the distribution system of the area EV as a perspective,
Figure DEST_PATH_IMAGE189
for operating points with power of distribution system of station area EV as view angle
Figure DEST_PATH_IMAGE191
To
Figure 565611DEST_PATH_IMAGE187
Euclidean distance of (c):
hyperplane boundary
Figure DEST_PATH_IMAGE193
The conditional constraints of (1) are: condition constraint 1, satisfy constraint
Figure 933138DEST_PATH_IMAGE193
In a distribution room
Figure DEST_PATH_IMAGE195
An EV maximum dynamic chargeable power of
Figure 846868DEST_PATH_IMAGE189
In that
Figure 856412DEST_PATH_IMAGE195
Axial projection module
Figure DEST_PATH_IMAGE197
If, if
Figure DEST_PATH_IMAGE199
Are respectively hyperplane
Figure 171987DEST_PATH_IMAGE193
Sum of normal vectors
Figure 975995DEST_PATH_IMAGE195
Axial direction vector:
Figure DEST_PATH_IMAGE201
Figure DEST_PATH_IMAGE203
is derived from
Figure DEST_PATH_IMAGE205
The time of day begins and the time of day begins,
Figure DEST_PATH_IMAGE207
time zone
Figure DEST_PATH_IMAGE209
If the power of other areas is not changed, the area is
Figure 515036DEST_PATH_IMAGE209
From
Figure 62692DEST_PATH_IMAGE205
Is timed to
Figure DEST_PATH_IMAGE211
The variation width of EV charging power at the moment is less than or equal to
Figure DEST_PATH_IMAGE213
Then the power distribution system is
Figure 967194DEST_PATH_IMAGE211
Meet in N-1 safety constraints at a time
Figure 942103DEST_PATH_IMAGE193
Constraining;
conditional constraint 2, satisfy constraint
Figure 892742DEST_PATH_IMAGE193
In a distribution room
Figure 244089DEST_PATH_IMAGE209
The EV maximum static chargeable power of (a) is: working point
Figure DEST_PATH_IMAGE215
Edge of
Figure 534256DEST_PATH_IMAGE209
Axial ray and
Figure 945645DEST_PATH_IMAGE193
mode of intersection
Figure DEST_PATH_IMAGE217
；
Figure DEST_PATH_IMAGE219
Wherein, the first and the second end of the pipe are connected with each other,
Figure 790105DEST_PATH_IMAGE217
to be driven from
Figure DEST_PATH_IMAGE221
At the beginning of the moment
Figure DEST_PATH_IMAGE223
Time, for any zone of the distribution system
Figure DEST_PATH_IMAGE225
，At the slave
Figure 354597DEST_PATH_IMAGE221
Is timed to
Figure DEST_PATH_IMAGE227
The variation range of the EV charging power at the time is less than or equal to
Figure DEST_PATH_IMAGE229
Then the power distribution system is
Figure 233691DEST_PATH_IMAGE227
Must meet the N-1 safety constraint at any moment
Figure 550403DEST_PATH_IMAGE193
And (5) restraining.
Moreover, the power distribution internet of things cloud-edge collaborative architecture in the step 4 includes: the method comprises the steps that a distribution automation terminal DTU, a feeder automation terminal FTU, a network frame topology calculation module, a DSSR visualization module and a platform area EV chargeable margin detection evaluation module are deployed on a platform area intelligent fusion terminal TTU and a 10kV line switch;
each distribution transformer area is provided with 1 transformer area intelligent fusion terminal TTU, the plurality of transformer area intelligent fusion terminals TTUs are connected with a DSSR visualization module, a 10kV line switch is provided with a distribution automation terminal DTU and a feeder automation terminal FTU which are connected with a net rack topology calculation module, and the net rack topology calculation module is connected with a DSSR calculation module, the DSSR visualization module and a transformer area EV chargeable margin detection evaluation module in series;
the intelligent transformer substation integration system comprises a transformer area intelligent fusion terminal TTU, a 10kV line switch deployment distribution automation terminal DTU and a feeder automation terminal FTU, wherein the transformer area intelligent fusion terminal TTU is used for acquiring data of all loads, distributed power supplies and EVs in a transformer area, and the 10kV line switch deployment distribution automation terminal DTU and the feeder automation terminal FTU are used for acquiring switching value data of a 10kV power grid; the DSSR visualization module is used for calculating the power distribution of the distribution network distribution area and the charging condition of the current EV; the distribution network topology calculation module is used for calculating a distribution network topology structure, the DSSR calculation module is used for calculating a boundary equation of the DSSR, the platform area EV chargeable margin detection and evaluation module is used for calculating a platform area EV chargeable margin index based on a safety domain according to a DSSR visual image which is calculated by the DSSR visual module and takes the platform area EV power distribution system power as a visual angle, and a worker monitors the EV charging condition of the platform area according to the platform area EV chargeable margin index.
The invention has the advantages and positive effects that:
1. the invention relates to the field of safe charging of electric automobiles in a power distribution area, realizes visual monitoring of the chargeable allowance of the electric automobiles in the power distribution area by considering the N-1 safety criterion of a power distribution system and the comprehensive influence of multiple areas EV charging on a medium-voltage distribution network and based on the safety domain theory of a power system. The method can provide technical support for the power distribution network to accept safe charging of large-scale electric vehicles, can be further used for optimal scheduling aid decision in future electric vehicle-power grid interaction, and can help to achieve the double-carbon target in the traffic field.
2. The method considers the problems that the N-1 criterion of the power distribution network corresponds to complex power grid calculation and is difficult to consider in real-time and rapid evaluation, and the like, and can contain the requirement of the N-1 safety criterion in a simple boundary equation by adopting a safety domain method, so that the charging of the distribution area EV naturally meets the N-1 safety of the power distribution network. With the increase of the distribution network scale and the complexity of topology, the N-1 security is more complex, but the computed DSSR boundary form is still concise, and the advantage is more obvious.
3. The method is based on the station area EV maximum dynamic/static chargeable power index provided by the security domain, the interaction influence of charging of a plurality of station areas EV can be comprehensively considered, and the evaluated result can deal with the overall security of the distribution network.
4. The DSSR at the EV view angle has the characteristic of easy visualization, is beneficial to understanding and application of distribution network regulating and controlling personnel, and can be further displayed to EV users to help the EV users to know the influence of EV charging on a distribution network.
5. The application architecture is based on the cloud-edge architecture of the power distribution Internet of things, which is a hot point of the current power distribution network construction.
6. The invention can accurately depict the accepting capacity of the distribution area to the EV at a certain time section, after being mastered by power distribution regulating and controlling personnel, the EV charging is controlled to be close to the running boundary, the accepting capacity of the distribution network to the EV is indirectly improved, and meanwhile, because the large-scale EV and the distribution network carry out intelligent interaction in the future, the invention provides visual auxiliary decision-making indexes for intelligent interaction.
Drawings
FIG. 1 is a DSSR two-dimensional visualization image with power of a distribution system of a distribution area EV as a viewing angle according to the invention;
FIG. 2 is a DSSR three-dimensional visualization image with power of the distribution system of the distribution area EV as a viewing angle according to the invention;
FIG. 3 is a diagram of a cloud-edge collaborative architecture of the present invention based on a power distribution Internet of things;
FIG. 4 is a schematic diagram of a hand-in-hand single-contact 10kV distribution network according to the present invention;
fig. 5 is a DSSR two-dimensional visualization image with the station area EV distribution system power as the viewing angle of the distribution network of the invention for single hand-in-hand contact with 10 kV.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
A method for monitoring the chargeable allowance of an electric automobile in a transformer area considering N-1 safety comprises the following steps:
step 1, establishing an EV-containing power distribution system security domain model of a platform area view angle. The working point needs to completely and uniquely reflect the system state and is defined as a vector formed by net power of all unbalanced nodes when the power distribution system operates normally. In the distribution network model, a distribution transformer high-voltage incoming line of a transformer area is defined as a node, and in a radiation structure distribution network, a balance node is a feeder line head end node.
Step 1.1, constructing a state space model containing an EV power distribution system:
Figure DEST_PATH_IMAGE230
wherein the content of the first and second substances,
Figure 413317DEST_PATH_IMAGE004
is a working point;
Figure 106466DEST_PATH_IMAGE006
for the net power of the node 1 to be,
Figure 902384DEST_PATH_IMAGE008
is a nodeiThe net power of the power is that of the power,
Figure 655576DEST_PATH_IMAGE010
is a node
Figure 802524DEST_PATH_IMAGE012
Net power;
Figure DEST_PATH_IMAGE231
as a station area node
Figure 502627DEST_PATH_IMAGE016
The load power of the access;
Figure 153051DEST_PATH_IMAGE018
generating power for a distributed power supply;
Figure 74215DEST_PATH_IMAGE020
charging load power for the EV power distribution system; the platform area outflow power is positive (load electricity, electric vehicle charging), and the platform area injection power is negative (DG electricity generation, electric vehicle V2G discharging). In actual operation, the power of the cell is restricted by devices such as distribution capacity and the like and is kept within a certain allowable range:
Figure DEST_PATH_IMAGE232
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE233
for distribution transformer
Figure 380562DEST_PATH_IMAGE027
The capacity of (a) is set to be,
Figure 415514DEST_PATH_IMAGE029
sending an upper limit coefficient for the power;
Figure 186024DEST_PATH_IMAGE031
for distribution transformer
Figure 281019DEST_PATH_IMAGE033
The coefficient of the heavy load is such that,
Figure 136980DEST_PATH_IMAGE029
and
Figure 710044DEST_PATH_IMAGE031
are all 0.8; under the N-1 operation mode, 1.0 can be taken in a short time. A bounded set of operating points within the allowed range of all node capacities, called the state space of the power distribution system, is recorded
Figure DEST_PATH_IMAGE235
. Since the state space is only for one time slice, the constraint problem of the residual capacity of the power battery of the EV can be not considered.
Step 1.2, constructing a normal operation constraint model of the EV power distribution system; the normal operation constraint model comprises a normal operation line capacity constraint and a normal operation main transformer capacity constraint,
wherein, the normal operation line capacity constraint is as follows:
Figure 803902DEST_PATH_IMAGE035
wherein the content of the first and second substances,
Figure 69798DEST_PATH_IMAGE037
as a line
Figure 147475DEST_PATH_IMAGE039
The power of (a) is determined,
Figure 789809DEST_PATH_IMAGE041
as a line
Figure 534911DEST_PATH_IMAGE039
The set of all the nodes downstream is,
Figure 971709DEST_PATH_IMAGE043
as a line
Figure 536682DEST_PATH_IMAGE039
The capacity of (a) to (b),
Figure 442760DEST_PATH_IMAGE045
for the set of all the lines it is,
Figure 42368DEST_PATH_IMAGE047
is a node
Figure 650067DEST_PATH_IMAGE049
Net power;
the capacity constraint of a normally-operated main transformer is as follows:
Figure 702337DEST_PATH_IMAGE051
wherein the content of the first and second substances,
Figure 420894DEST_PATH_IMAGE053
for the main change of
Figure 875009DEST_PATH_IMAGE039
The power of (a) is determined,
Figure 653609DEST_PATH_IMAGE055
is a main transformer
Figure 193175DEST_PATH_IMAGE039
The set of all the nodes downstream is,
Figure 715423DEST_PATH_IMAGE057
is a main transformer
Figure 24045DEST_PATH_IMAGE039
The rated capacity of the battery pack is set,
Figure 239126DEST_PATH_IMAGE059
is the collection of all main transformers.
Step 1.3, an EV power distribution system N-1 safety criterion constraint model; componentψ k Take place ofNAfter-1, in order to restore the power supply to the non-faulty area, the distribution network will be reconfigured to form a new topology, elementsψ k The associated power balance equation will change accordingly.
The N-1 safety criterion constraint modeling comprises N-1 line capacity constraint and N-1 main transformer capacity constraint,
wherein the N-1 line capacity constraint is:
Figure 408DEST_PATH_IMAGE061
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE236
as a line
Figure 795189DEST_PATH_IMAGE039
The power of (a) is set,
Figure 958317DEST_PATH_IMAGE065
is a branch
Figure 78720DEST_PATH_IMAGE039
A downstream node set of (2);
Figure DEST_PATH_IMAGE237
is a line
Figure 58790DEST_PATH_IMAGE039
The capacity of (a) is set to be,
Figure 922840DEST_PATH_IMAGE069
is the set of all lines;
Figure DEST_PATH_IMAGE238
for on-line components, N-1 line capacity constraints indicate that the operation is to be removed
Figure DEST_PATH_IMAGE239
External, arbitrary line
Figure 878158DEST_PATH_IMAGE039
Is not less than the absolute value of the net power of its downstream nodes;
the N-1 main transformer capacity constraint is as follows:
Figure DEST_PATH_IMAGE240
wherein the content of the first and second substances,
Figure 903883DEST_PATH_IMAGE075
is a main transformer
Figure 639758DEST_PATH_IMAGE039
The power of (a) is set,
Figure 41920DEST_PATH_IMAGE077
is a main transformer
Figure 179640DEST_PATH_IMAGE039
Is to be transmitted to the downstream node set of,
Figure DEST_PATH_IMAGE241
for the main change of
Figure 376267DEST_PATH_IMAGE039
The rated capacity of the battery pack is set,
Figure 333858DEST_PATH_IMAGE081
for the set of all the main transformers, N-1 main transformer capacity constraint indicates that the operation is not exited
Figure 70870DEST_PATH_IMAGE239
External and arbitrary main transformeriIs not less than the absolute value of the net power of its downstream nodes;
set the fault as
Figure DEST_PATH_IMAGE243
If a certain operating pointWIn the following, the first step is to put the paper into the bag,
Figure DEST_PATH_IMAGE245
n-1 line capacity constraint and N-1 main transformer capacity constraint are both true, thenWSatisfy the requirement ofN-1 security criteria.
Step 1.4, a Distribution System Security Region (DSSR) is defined as a set of all operating points in a state space that satisfy normal operating constraints and N-1 security criteria. The DSSR model is:
Figure DEST_PATH_IMAGE247
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE249
the method comprises an EV power distribution system state space model, equipment constraints of distribution transformer capacity and the like on station power, normal operation line capacity constraints, normal operation main transformer capacity constraints, N-1 line capacity constraints and N-1 main transformer capacity constraints. Taking the above all the constraint inequalities, all the boundary equations (with redundancy) of the DSSR can be directly written, and after invalid boundaries are simplified and removed, the final DSSR boundary equation can be obtained, where the equation is approximately expressed by a hyperplane in a state space, and its uniform expression form is:
Figure 941393DEST_PATH_IMAGE083
wherein the content of the first and second substances,
Figure 574499DEST_PATH_IMAGE085
is the first
Figure 284967DEST_PATH_IMAGE087
In a hyperplane
Figure 294511DEST_PATH_IMAGE089
The coefficient of (a).
And 2, performing DSSR visualization by taking the power of the distribution system of the transformer area EV as a viewing angle according to the security domain model established in the step 1.
And 2.1, judging the number of the concerned areas needing to be selected, if the number of the concerned areas is 2, performing the step 2.2, and if the number of the concerned areas is 3, performing the step 2.3.
And 2.2, performing DSSR two-dimensional visualization by taking the power of the distribution system of the station area EV as a viewing angle.
For containingnThe distribution network of each distribution area selects 2 concerned distribution areas
Figure 141244DEST_PATH_IMAGE093
And platform area
Figure 210831DEST_PATH_IMAGE095
Get it
Figure 143015DEST_PATH_IMAGE097
The system power distribution at the moment, the fixed variable becomes constant:
Figure 956250DEST_PATH_IMAGE099
wherein the content of the first and second substances,
Figure 188649DEST_PATH_IMAGE101
is a platform area
Figure 897979DEST_PATH_IMAGE103
The net power of the power is that of the power,
Figure 583038DEST_PATH_IMAGE105
systemtTime zone
Figure 934385DEST_PATH_IMAGE103
The net power of the power converter,
Figure 21290DEST_PATH_IMAGE107
is a platform areaiThe power of all the loads is set to be,
Figure 167100DEST_PATH_IMAGE109
is a systemtTime zoneiThe power of all the loads is set to be,
Figure 70947DEST_PATH_IMAGE111
is a platform areaiThe output power of all of the distributed power sources,
Figure 225984DEST_PATH_IMAGE113
is a systemtTime zoneiThe output power of all of the distributed power sources,
Figure 901816DEST_PATH_IMAGE115
is a platform areajThe power consumed by all of the loads is,
Figure 484107DEST_PATH_IMAGE117
is a systemtTime zonejThe power consumed by all of the loads is,
Figure 878180DEST_PATH_IMAGE119
is a platform areajThe output power of all of the distributed power sources,
Figure 571329DEST_PATH_IMAGE121
is a systemtTime zonejThe output power of all of the distributed power sources,
Figure 367247DEST_PATH_IMAGE123
numbering the transformer area; get about
Figure 120439DEST_PATH_IMAGE125
、
Figure 736228DEST_PATH_IMAGE127
A set of boundary equations having
Figure 233069DEST_PATH_IMAGE129
The method comprises the following steps:
Figure 883493DEST_PATH_IMAGE131
wherein the content of the first and second substances,
Figure 807587DEST_PATH_IMAGE133
(ii) a Will be provided with
Figure 176251DEST_PATH_IMAGE135
Is projected on
Figure 211203DEST_PATH_IMAGE125
Is a transverse axis and
Figure 716134DEST_PATH_IMAGE136
on a two-dimensional coordinate system of the vertical axis, as shown in FIG. 1, with respect to
Figure 811129DEST_PATH_IMAGE125
And
Figure 667089DEST_PATH_IMAGE127
is displayed on the display.
And 2.3, performing DSSR three-dimensional visualization by taking the power of the distribution system of the station area EV as a viewing angle.
For containing
Figure 254802DEST_PATH_IMAGE139
The distribution network of each distribution area selects 3 concerned distribution areas
Figure 145397DEST_PATH_IMAGE141
Platform area
Figure 411293DEST_PATH_IMAGE143
And station area
Figure 488971DEST_PATH_IMAGE145
Get it
Figure 865726DEST_PATH_IMAGE147
The system power distribution at the moment, the fixed variable becomes constant:
Figure 345248DEST_PATH_IMAGE149
wherein the content of the first and second substances,
Figure 782046DEST_PATH_IMAGE150
is a platform area
Figure 347019DEST_PATH_IMAGE103
The net power of the power is that of the power,
Figure 527465DEST_PATH_IMAGE105
is a systemtTime zonexThe net power of the power converter,
Figure 127074DEST_PATH_IMAGE152
is a platform area
Figure 734773DEST_PATH_IMAGE154
The power consumed by all of the loads is,
Figure 521463DEST_PATH_IMAGE156
is a system oftTime zone
Figure 505599DEST_PATH_IMAGE157
The power consumed by all of the loads is,
Figure 959715DEST_PATH_IMAGE159
is a platform area
Figure 3894DEST_PATH_IMAGE154
The output power of all of the distributed power sources,
Figure 12301DEST_PATH_IMAGE161
is a system oftTime zone
Figure 531620DEST_PATH_IMAGE154
The output power of all distributed power supplies; is obtained only about
Figure 105821DEST_PATH_IMAGE162
、
Figure 55322DEST_PATH_IMAGE163
And
Figure 82184DEST_PATH_IMAGE165
a set of boundary equations containing
Figure 142544DEST_PATH_IMAGE167
The method comprises the following steps:
Figure DEST_PATH_IMAGE250
wherein the content of the first and second substances,
Figure 40093DEST_PATH_IMAGE125
is a platform areaiThe charging power of the electric automobile,
Figure 160495DEST_PATH_IMAGE136
Is a platform areajThe charging power of the electric automobile,
Figure 409074DEST_PATH_IMAGE170
Is a platform areakThe charging power of the electric vehicle of (1),
Figure 273125DEST_PATH_IMAGE172
(ii) a Will be provided with
Figure 556339DEST_PATH_IMAGE174
An equation is projected on
Figure 847643DEST_PATH_IMAGE125
、
Figure 583518DEST_PATH_IMAGE136
And
Figure 251259DEST_PATH_IMAGE170
on a three-dimensional coordinate system of axes, the method is related to
Figure 388980DEST_PATH_IMAGE137
、
Figure 116764DEST_PATH_IMAGE127
And
Figure 339935DEST_PATH_IMAGE175
the three-dimensional visualization image of (2).
And 3, calculating the chargeable margin index of the distribution system of the distribution area EV based on the security domain model according to the DSSR visualization in the step 2.
Figure 814297DEST_PATH_IMAGE177
Wherein the content of the first and second substances,
Figure 806524DEST_PATH_IMAGE179
is hyperplaneH sVariable of (2)
Figure 439631DEST_PATH_IMAGE181
The coefficient of (a) is determined,
Figure 150098DEST_PATH_IMAGE181
for charging the electric automobile in the platform area 1,
Figure 159642DEST_PATH_IMAGE183
is hyperplaneH sVariable of (2)
Figure 740796DEST_PATH_IMAGE185
The coefficient of (a) is calculated,
Figure 75963DEST_PATH_IMAGE185
is a tableZone(s)nThe charging power of the electric vehicle;
Figure 8147DEST_PATH_IMAGE187
to visualize a hyperplane border in the image at the viewing angle DSSR with the power of the distribution system of the area EV,
Figure 821382DEST_PATH_IMAGE189
for operating points with power of distribution system of station area EV as view angle
Figure 522622DEST_PATH_IMAGE191
To
Figure 763110DEST_PATH_IMAGE187
Euclidean distance of (c):
hyperplane boundary
Figure 182590DEST_PATH_IMAGE193
The conditional constraints of (1) are:
condition constraint 1, satisfy constraint
Figure 533937DEST_PATH_IMAGE193
In a distribution room
Figure 355262DEST_PATH_IMAGE195
An EV maximum dynamic chargeable power of
Figure 766652DEST_PATH_IMAGE189
In that
Figure 673428DEST_PATH_IMAGE195
Axial projection module
Figure DEST_PATH_IMAGE251
If, if
Figure DEST_PATH_IMAGE252
Are respectively hyperplane
Figure 763220DEST_PATH_IMAGE193
Sum of normal vectors
Figure 704631DEST_PATH_IMAGE195
Axial direction vector:
Figure 286922DEST_PATH_IMAGE201
Figure 680994DEST_PATH_IMAGE203
is derived from
Figure 374144DEST_PATH_IMAGE205
The time of day begins and the time of day begins,
Figure 170061DEST_PATH_IMAGE207
time zone
Figure 657674DEST_PATH_IMAGE209
If the power of other areas is not changed, the area is
Figure 539043DEST_PATH_IMAGE209
From
Figure 35883DEST_PATH_IMAGE205
Is timed to
Figure 686307DEST_PATH_IMAGE211
The variation width of EV charging power at the moment is less than or equal to
Figure 610401DEST_PATH_IMAGE213
Then the power distribution system is
Figure 979065DEST_PATH_IMAGE211
Meet in N-1 safety constraints at a time
Figure 14018DEST_PATH_IMAGE193
Constraining;
the maximum dynamic safe charging power of the district EV can consider the influence of power change of the related districts, and the result has conservatism and is preferentially applied to occasions with higher safety requirements.
Conditional constraint 2, satisfy constraint
Figure 784527DEST_PATH_IMAGE193
In a distribution room
Figure 879522DEST_PATH_IMAGE209
The EV maximum static chargeable power of (a) is: working point
Figure 461115DEST_PATH_IMAGE215
Edge of
Figure 299758DEST_PATH_IMAGE209
Axial ray and
Figure 924774DEST_PATH_IMAGE193
mode of intersection
Figure 190670DEST_PATH_IMAGE217
。
Figure 268348DEST_PATH_IMAGE219
Wherein the content of the first and second substances,
Figure 910682DEST_PATH_IMAGE217
to be driven from
Figure 390205DEST_PATH_IMAGE221
At the beginning of the moment
Figure 827002DEST_PATH_IMAGE223
Time, for any zone of the distribution system
Figure 391976DEST_PATH_IMAGE225
，At the slave
Figure 572421DEST_PATH_IMAGE221
Is timed to
Figure 640871DEST_PATH_IMAGE227
The variation width of EV charging power at the moment is less than or equal to
Figure 982991DEST_PATH_IMAGE229
Then the power distribution system is
Figure 35261DEST_PATH_IMAGE227
Must meet the N-1 safety constraint at any moment
Figure 19397DEST_PATH_IMAGE193
And (5) restraining.
The maximum dynamic safe charging power of the area EV cannot consider the influence of the power change of the related area, and the result may have certain intrusiveness and is preferentially applied to occasions with high economic requirements.
And 4, constructing a power distribution internet of things cloud-edge cooperative framework as shown in fig. 3, and monitoring the charging condition of the distribution area EV power distribution system according to the chargeable allowance index of the distribution area EV power distribution system calculated in the step 3.
The power distribution internet of things cloud-edge cooperative architecture comprises: the method comprises the steps that a distribution automation terminal DTU, a feeder automation terminal FTU, a network frame topology calculation module, a DSSR visualization module and a platform area EV chargeable margin detection evaluation module are deployed on a platform area intelligent fusion terminal TTU and a 10kV line switch;
each distribution transformer area is provided with 1 transformer area intelligent fusion terminal TTU, the plurality of transformer area intelligent fusion terminals TTUs are connected with a DSSR visualization module, a 10kV line switch is provided with a distribution automation terminal DTU and a feeder automation terminal FTU which are connected with a net rack topology calculation module, and the net rack topology calculation module is connected with a DSSR calculation module, the DSSR visualization module and a transformer area EV chargeable margin detection evaluation module in series;
the intelligent transformer district convergence terminal TTU is used for acquiring data of all loads, distributed power supplies and EVs in a transformer district, and the 10kV line switch deployment distribution automation terminal DTU and the feeder automation terminal FTU are used for acquiring switching value data of a 10kV power grid; the DSSR visualization module is used for calculating the power distribution of the distribution network area and the charging condition of the current EV; the distribution network topology calculation module is used for calculating a distribution network topology structure, the DSSR calculation module is used for calculating a boundary equation of the DSSR, the platform area EV chargeable margin detection and evaluation module is used for calculating a platform area EV chargeable margin index based on a safety domain according to a DSSR visual image which is calculated by the DSSR visual module and takes the platform area EV power distribution system power as a visual angle, and a worker monitors the EV charging condition of the platform area according to the platform area EV chargeable margin index.
The method comprises the following steps of constructing an operation mode of a power distribution Internet of things cloud-edge cooperative framework:
the method comprises the steps that 1 transformer area intelligent fusion terminal TTU is deployed in each power distribution transformer area, and the TTU can acquire data of all loads, distributed power supplies and EVs in the transformer areas, including charging power, voltage, current, electric quantity and the like;
the 10kV line switch is provided with a distribution automation terminal DTU and a feeder automation terminal FTU, and switching value data of a 10kV power grid can be collected;
thirdly, uploading the collected transformer area data, the DTU and the FTU, and uploading the switching value data of the 10kV line to a cloud master station of the IV area of the power distribution Internet of things by the TTU;
a DSSR calculating and visualizing module is deployed in the cloud master station in the areas IV and IV;
fifthly, according to the TTU uploaded data, the IV area cloud master station can calculate the power distribution of the distribution network area and the current EV charging condition;
sixthly, the cloud master station in the area IV can calculate a distribution network topological structure according to the data uploaded by the DTU and the FTU, and then a boundary equation of the DSSR is calculated;
according to the fourth result, the IV area cloud master station calculates a DSSR two-dimensional or three-dimensional image of the EV viewing angle and calculates a station area EV chargeable margin index based on the safety domain;
and monitoring the EV charging condition of the transformer area by a power distribution network regulation/operation personnel according to the EV chargeable allowance index of the transformer area.
According to the method for monitoring the chargeable allowance of the electric automobile in the transformer area considering the N-1 safety, the effect of the method is proved by calculating the distribution network of 10kV single-contact of a certain hand power.
As shown in fig. 4, a hand-operated single-connection 10kV distribution network is provided, the capacities of the feeders F1 and F2 are both 1.2MVA, the capacity of the distribution transformer is 0.6MVA, and the sum of the maximum powers of the EV charging designed in each distribution area is 0.3 MVA. The EV powers of the station areas 2, 4 and 5 are selected for observation, and the power distribution of each station area at a certain time is calculated as shown in table 1.
TABLE 1 calculation of Power distribution of zones at a time
Figure DEST_PATH_IMAGE254
Obtaining a DSSR equation according to the distribution network:
Figure DEST_PATH_IMAGE256
from the power distribution of the station area of Table 1, the EV view angle is obtained
Figure DEST_PATH_IMAGE258
The boundary expression of (1):
Figure DEST_PATH_IMAGE260
according to the above formula, a three-dimensional DSSR visualization image at EV viewing angle is directly available, as shown in fig. 2.
Order to
Figure DEST_PATH_IMAGE262
Then, dimension reduction can be performed to obtain a two-dimensional DSSR visualization image at the EV viewing angle, as shown in fig. 5.
In FIG. 5, the current working point is taken
Figure DEST_PATH_IMAGE264
As can be seen from fig. 5, the first,
Figure DEST_PATH_IMAGE266
is an important boundary of the DSSR two-dimensional image and is recorded as
Figure DEST_PATH_IMAGE268
，
Figure DEST_PATH_IMAGE270
Obtaining a working point to
Figure 424577DEST_PATH_IMAGE268
Is a distance of
Figure DEST_PATH_IMAGE272
Comprises the following steps:
Figure DEST_PATH_IMAGE274
EV maximum dynamic chargeable power for zone 2 satisfying constraint 1
Figure DEST_PATH_IMAGE276
Comprises the following steps:
Figure DEST_PATH_IMAGE278
EV maximum static chargeable power for zone 2 satisfying constraint 1
Figure DEST_PATH_IMAGE280
Comprises the following steps:
Figure DEST_PATH_IMAGE282
Figure DEST_PATH_IMAGE284
the meaning in a DSSR two-dimensional image is shown in fig. 5.
It should be emphasized that the embodiments described herein are illustrative rather than restrictive, and thus the present invention is not limited to the embodiments described in the detailed description, but also includes other embodiments that can be derived from the technical solutions of the present invention by those skilled in the art.

Claims (6)

1. A method for monitoring the chargeable allowance of an electric automobile in a transformer area considering N-1 safety is characterized by comprising the following steps of: the method comprises the following steps:
step 1, constructing an EV-containing power distribution system security domain model of a platform area view angle;
step 1.1, constructing a state space model containing an EV power distribution system:
Figure 89171DEST_PATH_IMAGE002
wherein, the first and the second end of the pipe are connected with each other,
Figure 840089DEST_PATH_IMAGE004
is a working point;
Figure 603646DEST_PATH_IMAGE006
for the net power of the node 1 to be,
Figure 280352DEST_PATH_IMAGE008
is a nodeiThe net power of the power is that of the power,
Figure 762149DEST_PATH_IMAGE010
is a node
Figure 51179DEST_PATH_IMAGE012
Net power;
Figure 200401DEST_PATH_IMAGE014
as a station area node
Figure 815053DEST_PATH_IMAGE016
The load power of the access;
Figure 659512DEST_PATH_IMAGE018
generating power for a distributed power supply;
Figure 876867DEST_PATH_IMAGE020
charging load power for the EV power distribution system; at the same time
Figure 991847DEST_PATH_IMAGE021
The constraint conditions of (1) are:
Figure 636455DEST_PATH_IMAGE023
wherein the content of the first and second substances,
Figure 968210DEST_PATH_IMAGE025
for distribution transformer
Figure 723677DEST_PATH_IMAGE027
The capacity of (a) is set to be,
Figure 457277DEST_PATH_IMAGE029
the power reverse feeding upper limit coefficient;
Figure 944891DEST_PATH_IMAGE031
for distribution transformer
Figure 528056DEST_PATH_IMAGE033
A heavy duty factor;
step 1.2, constructing a normal operation constraint model of the EV power distribution system; the normal operation constraint model comprises normal operation line capacity constraint and normal operation main transformer capacity constraint,
wherein, the normal operation line capacity constraint is as follows:
Figure 87214DEST_PATH_IMAGE035
wherein the content of the first and second substances,
Figure 675321DEST_PATH_IMAGE037
as a line
Figure 661732DEST_PATH_IMAGE039
The power of (a) is determined,
Figure 702500DEST_PATH_IMAGE041
as a line
Figure 799769DEST_PATH_IMAGE039
The set of all the nodes downstream is,
Figure 507962DEST_PATH_IMAGE043
as a line
Figure 665274DEST_PATH_IMAGE039
The capacity of (a) is set to be,
Figure 948664DEST_PATH_IMAGE045
for the set of all the lines it is,
Figure 724990DEST_PATH_IMAGE047
is a node
Figure 412323DEST_PATH_IMAGE049
Net power;
the capacity constraint of a normally-operated main transformer is as follows:
Figure 615902DEST_PATH_IMAGE051
wherein the content of the first and second substances,
Figure 755897DEST_PATH_IMAGE053
is a main transformer
Figure 335914DEST_PATH_IMAGE039
The power of (a) is determined,
Figure 877753DEST_PATH_IMAGE055
is a main transformer
Figure 750769DEST_PATH_IMAGE039
The set of all the nodes downstream is,
Figure 378060DEST_PATH_IMAGE057
for the main change of
Figure 496188DEST_PATH_IMAGE039
The rated capacity of the battery pack is set,
Figure 892535DEST_PATH_IMAGE059
the method comprises the following steps of (1) collecting all main transformers;
step 1.3, an EV power distribution system N-1 safety criterion constraint model;
the N-1 safety criterion constraint modeling comprises N-1 line capacity constraint and N-1 main transformer capacity constraint,
wherein the N-1 line capacity constraint is:
Figure 437917DEST_PATH_IMAGE061
wherein the content of the first and second substances,
Figure 693449DEST_PATH_IMAGE063
as a line
Figure 739902DEST_PATH_IMAGE039
The power of (a) is determined,
Figure 367586DEST_PATH_IMAGE065
is a branch
Figure 208503DEST_PATH_IMAGE039
A downstream node set of (2);
Figure 685752DEST_PATH_IMAGE067
as a line
Figure 270317DEST_PATH_IMAGE039
The capacity of (a) is set to be,
Figure 516622DEST_PATH_IMAGE069
is the set of all lines;
Figure 528440DEST_PATH_IMAGE071
is a component on the line;
the N-1 main transformer capacity constraint is as follows:
Figure 758564DEST_PATH_IMAGE073
wherein the content of the first and second substances,
Figure 881241DEST_PATH_IMAGE075
is a main transformer
Figure 480587DEST_PATH_IMAGE039
The power of (a) is set,
Figure 928886DEST_PATH_IMAGE077
is a main transformer
Figure 115148DEST_PATH_IMAGE039
Of the downstream node of the group of nodes,
Figure 41516DEST_PATH_IMAGE079
for the main change of
Figure 262412DEST_PATH_IMAGE039
The rated capacity of the battery pack is set,
Figure 756979DEST_PATH_IMAGE081
the method comprises the following steps of (1) collecting all main transformers;
step 1.4, according to the state space model, the normal operation constraint model and the N-1 safety criterion constraint model:
Figure 820750DEST_PATH_IMAGE083
wherein the content of the first and second substances,
Figure 927639DEST_PATH_IMAGE085
is the first
Figure 268622DEST_PATH_IMAGE087
In a hyperplane
Figure 793144DEST_PATH_IMAGE089
Coefficient of (2)
Step 2, performing DSSR visualization by taking the power of the distribution system of the transformer area EV as a viewing angle according to the security domain model established in the step 1;
step 3, calculating a chargeable margin index of the distribution area EV power distribution system based on the security domain model according to the DSSR visualization in the step 2;
and 4, constructing a cloud-edge cooperative framework of the distribution Internet of things, and monitoring the charging condition of the district EV power distribution system according to the chargeable allowance index of the district EV power distribution system calculated in the step 3.
2. The method for monitoring the chargeable margin of the district electric vehicle considering the N-1 safety as claimed in claim 1, wherein: the step 2 comprises the following steps:
step 2.1, judging the number of the concerned areas needing to be selected, if the number of the concerned areas is 2, performing step 2.2, and if the number of the concerned areas is 3, performing step 2.3;
2.2, performing DSSR two-dimensional visualization by taking the power of the distribution system of the transformer area EV as a viewing angle;
and 2.3, performing DSSR three-dimensional visualization by taking the power of the distribution system of the station area EV as a viewing angle.
3. The area electric motor of claim 2, wherein N-1 safety is taken into accountThe method for monitoring the chargeable allowance of the automobile is characterized by comprising the following steps: the specific implementation method of the step 2.2 is as follows: for containing
Figure 953998DEST_PATH_IMAGE091
The distribution network of each distribution area selects the concerned distribution area
Figure 222169DEST_PATH_IMAGE093
And platform area
Figure 152079DEST_PATH_IMAGE095
Get it
Figure 113081DEST_PATH_IMAGE097
The system power distribution at the moment, the fixed variable becomes constant:
Figure 259767DEST_PATH_IMAGE099
wherein the content of the first and second substances,
Figure 66049DEST_PATH_IMAGE101
is a platform area
Figure 381623DEST_PATH_IMAGE103
The net power of the power is that of the power,
Figure 247948DEST_PATH_IMAGE105
system for controlling a power supplytTime zone
Figure 383395DEST_PATH_IMAGE103
The net power of the power converter,
Figure 993367DEST_PATH_IMAGE107
is a platform areaiThe power of all the loads is set to be,
Figure 897870DEST_PATH_IMAGE109
is a systemtTime zoneiThe power of all the loads is set to be,
Figure 200675DEST_PATH_IMAGE111
is a platform areaiThe output power of all of the distributed power sources,
Figure 59303DEST_PATH_IMAGE113
is a systemtTime zoneiThe output power of all of the distributed power sources,
Figure 472967DEST_PATH_IMAGE115
is a platform areajThe power consumed by all of the loads is,
Figure 231975DEST_PATH_IMAGE117
is a systemtTime zonejThe power consumed by all of the loads is,
Figure 846627DEST_PATH_IMAGE119
is a platform areajThe output power of all of the distributed power sources,
Figure 815720DEST_PATH_IMAGE121
is a system oftTime zonejThe output power of all of the distributed power sources,
Figure 642862DEST_PATH_IMAGE123
numbering the transformer area;
get about
Figure 646590DEST_PATH_IMAGE125
、
Figure 665100DEST_PATH_IMAGE127
A set of boundary equations having
Figure 121489DEST_PATH_IMAGE129
The method comprises the following steps:
Figure 752321DEST_PATH_IMAGE131
wherein the content of the first and second substances,
Figure 610556DEST_PATH_IMAGE133
(ii) a Will be provided with
Figure 301431DEST_PATH_IMAGE135
Is projected on
Figure 245117DEST_PATH_IMAGE125
Is a transverse axis and
Figure 679640DEST_PATH_IMAGE136
on a two-dimensional coordinate system which is a vertical axis, is obtained with respect to
Figure 392381DEST_PATH_IMAGE137
And
Figure 767341DEST_PATH_IMAGE136
the two-dimensional visualization image of (2).
4. The method for monitoring the chargeable margin of the district electric vehicle considering the N-1 safety as claimed in claim 2, wherein: the specific implementation method of the step 2.3 is as follows: for containing
Figure 73689DEST_PATH_IMAGE139
The distribution network of each distribution area selects the concerned distribution area
Figure 170958DEST_PATH_IMAGE141
Platform area
Figure 879151DEST_PATH_IMAGE143
And platform area
Figure 770884DEST_PATH_IMAGE145
Get it
Figure 564527DEST_PATH_IMAGE147
The system power distribution at the moment, the fixed variable becomes constant:
Figure 465487DEST_PATH_IMAGE149
wherein the content of the first and second substances,
Figure 261143DEST_PATH_IMAGE150
is a platform area
Figure 589356DEST_PATH_IMAGE103
The net power of the power is that of the power,
Figure 604716DEST_PATH_IMAGE105
is a systemtTime zonexThe net power of the electric machine (c),
Figure 574946DEST_PATH_IMAGE152
is a platform area
Figure 992152DEST_PATH_IMAGE154
The power consumed by all of the loads is,
Figure 632212DEST_PATH_IMAGE156
is a systemtTime zone
Figure 993923DEST_PATH_IMAGE157
The power consumed by all of the loads is,
Figure 879096DEST_PATH_IMAGE159
is a platform area
Figure 275443DEST_PATH_IMAGE154
The output power of all of the distributed power sources,
Figure 820825DEST_PATH_IMAGE161
is a systemtTime zone
Figure 935411DEST_PATH_IMAGE154
The output power of all distributed power supplies; is obtained only about
Figure 591651DEST_PATH_IMAGE162
、
Figure 108083DEST_PATH_IMAGE163
And
Figure 89946DEST_PATH_IMAGE165
a set of boundary equations containing
Figure 691829DEST_PATH_IMAGE167
The method comprises the following steps:
Figure 650295DEST_PATH_IMAGE169
wherein the content of the first and second substances,
Figure 21233DEST_PATH_IMAGE125
is a platform areaiThe charging power of the electric automobile,
Figure 908418DEST_PATH_IMAGE163
Is a platform areajThe charging power of the electric automobile,
Figure 732018DEST_PATH_IMAGE165
Is a platform areakThe charging power of the electric vehicle of (1),
Figure 995640DEST_PATH_IMAGE171
(ii) a Will be provided with
Figure 221085DEST_PATH_IMAGE173
An equation is projected on
Figure 279171DEST_PATH_IMAGE125
、
Figure 855645DEST_PATH_IMAGE163
And
Figure 424423DEST_PATH_IMAGE165
on a three-dimensional coordinate system of axes, the method is related to
Figure 379741DEST_PATH_IMAGE137
、
Figure 998941DEST_PATH_IMAGE174
And
Figure 672499DEST_PATH_IMAGE165
the three-dimensional visualization image of (2).
5. The method for monitoring the chargeable margin of the district electric vehicle considering the N-1 safety as claimed in claim 1, wherein: the specific implementation method of the step 3 is as follows:
Figure 402558DEST_PATH_IMAGE176
wherein the content of the first and second substances,
Figure 212382DEST_PATH_IMAGE178
is hyperplaneH sVariable of (2)
Figure 2483DEST_PATH_IMAGE180
The coefficient of (a) is determined,
Figure 661873DEST_PATH_IMAGE180
is a platform area1 of the charging power of the electric automobile,
Figure 930043DEST_PATH_IMAGE182
is hyperplaneH sVariable of (2)
Figure 859953DEST_PATH_IMAGE184
The coefficient of (a) is determined,
Figure 820956DEST_PATH_IMAGE184
is a platform areanThe charging power of the electric vehicle;
Figure 203527DEST_PATH_IMAGE186
to visualize a hyperplane border in the image from the DSSR with the power of the distribution system of the area EV as a perspective,
Figure 275388DEST_PATH_IMAGE188
for operating points with power of distribution system of station area EV as view angle
Figure 325383DEST_PATH_IMAGE190
To
Figure 191708DEST_PATH_IMAGE186
Euclidean distance of (c):
hyperplane boundary
Figure 828619DEST_PATH_IMAGE192
The conditional constraints of (1) are: condition constraint 1, satisfy constraint
Figure 438592DEST_PATH_IMAGE192
In a distribution room
Figure 343094DEST_PATH_IMAGE194
An EV maximum dynamic chargeable power of
Figure 380320DEST_PATH_IMAGE188
In that
Figure 3063DEST_PATH_IMAGE194
Axial projection module
Figure 416727DEST_PATH_IMAGE196
If, if
Figure 441314DEST_PATH_IMAGE198
Are respectively hyperplane
Figure 915021DEST_PATH_IMAGE192
Sum of normal vectors
Figure 258015DEST_PATH_IMAGE194
Axial direction vector:
Figure 209791DEST_PATH_IMAGE200
Figure 88885DEST_PATH_IMAGE202
to be driven from
Figure 467914DEST_PATH_IMAGE204
At the beginning of the time of day,
Figure 65249DEST_PATH_IMAGE206
time zone
Figure 696081DEST_PATH_IMAGE208
If the power of other areas is not changed, the area is
Figure 288737DEST_PATH_IMAGE208
From
Figure 104246DEST_PATH_IMAGE204
Is timed to
Figure 678623DEST_PATH_IMAGE210
The variation width of EV charging power at the moment is less than or equal to
Figure 847567DEST_PATH_IMAGE212
Then the power distribution system is
Figure 560308DEST_PATH_IMAGE210
Meet in N-1 safety constraints at a time
Figure 422085DEST_PATH_IMAGE192
Constraining;
condition constraint 2 satisfying constraint
Figure 853066DEST_PATH_IMAGE192
In a distribution room
Figure 825701DEST_PATH_IMAGE208
The EV maximum static chargeable power of (a) is: working point
Figure 392949DEST_PATH_IMAGE214
Edge of
Figure 924162DEST_PATH_IMAGE208
Axial ray and
Figure 842439DEST_PATH_IMAGE192
mode of intersection
Figure 353186DEST_PATH_IMAGE216
；
Figure 306099DEST_PATH_IMAGE218
Wherein the content of the first and second substances,
Figure 509678DEST_PATH_IMAGE216
to be driven from
Figure 649673DEST_PATH_IMAGE220
At the beginning of the moment
Figure 229690DEST_PATH_IMAGE222
Time, for any zone of the distribution system
Figure 771529DEST_PATH_IMAGE224
，At the slave
Figure 647475DEST_PATH_IMAGE220
Is timed to
Figure 274765DEST_PATH_IMAGE226
The variation width of EV charging power at the moment is less than or equal to
Figure 127315DEST_PATH_IMAGE228
Then the power distribution system is
Figure 789240DEST_PATH_IMAGE226
Must meet the N-1 safety constraint at any moment
Figure 334622DEST_PATH_IMAGE192
And (5) restraining.
6. The method for monitoring the chargeable margin of the district electric vehicle considering the N-1 safety as claimed in claim 1, wherein: the power distribution internet of things cloud-edge cooperative architecture in the step 4 comprises the following steps: the method comprises the steps that a distribution automation terminal DTU, a feeder automation terminal FTU, a network frame topology calculation module, a DSSR visualization module and a platform area EV chargeable margin detection evaluation module are deployed on a platform area intelligent fusion terminal TTU and a 10kV line switch;
each distribution transformer area is provided with 1 transformer area intelligent fusion terminal TTU, the plurality of transformer area intelligent fusion terminals TTU are connected with the DSSR visualization module, the 10kV circuit switch is provided with a distribution automation terminal DTU and a feeder automation terminal FTU which are connected with a network frame topology calculation module, and the network frame topology calculation module is connected with the DSSR calculation module, the DSSR visualization module and the transformer area EV chargeable allowance detection and evaluation module in series;
the intelligent transformer substation integration system comprises a transformer area intelligent fusion terminal TTU, a 10kV line switch deployment distribution automation terminal DTU and a feeder automation terminal FTU, wherein the transformer area intelligent fusion terminal TTU is used for acquiring data of all loads, distributed power supplies and EVs in a transformer area, and the 10kV line switch deployment distribution automation terminal DTU and the feeder automation terminal FTU are used for acquiring switching value data of a 10kV power grid; the DSSR visualization module is used for calculating the power distribution of the distribution network area and the charging condition of the current EV; the distribution network topology calculation module is used for calculating a distribution network topology structure, the DSSR calculation module is used for calculating a boundary equation of the DSSR, the platform area EV chargeable margin detection and evaluation module is used for calculating a platform area EV chargeable margin index based on a safety domain according to a DSSR visual image which is calculated by the DSSR visual module and takes the platform area EV power distribution system power as a visual angle, and a worker monitors the EV charging condition of the platform area according to the platform area EV chargeable margin index.
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