CN115395570A - Autonomous-cooperative control system and control method for area of smart microgrid - Google Patents
Autonomous-cooperative control system and control method for area of smart microgrid Download PDFInfo
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- CN115395570A CN115395570A CN202211142350.2A CN202211142350A CN115395570A CN 115395570 A CN115395570 A CN 115395570A CN 202211142350 A CN202211142350 A CN 202211142350A CN 115395570 A CN115395570 A CN 115395570A
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000004146 energy storage Methods 0.000 claims description 33
- 238000005265 energy consumption Methods 0.000 claims description 14
- 238000003064 k means clustering Methods 0.000 claims description 9
- 241000251468 Actinopterygii Species 0.000 claims description 6
- OVBPIULPVIDEAO-LBPRGKRZSA-N folic acid Chemical compound C=1N=C2NC(N)=NC(=O)C2=NC=1CNC1=CC=C(C(=O)N[C@@H](CCC(O)=O)C(O)=O)C=C1 OVBPIULPVIDEAO-LBPRGKRZSA-N 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 2
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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Abstract
The invention discloses a regional autonomous-cooperative control system and a regional autonomous-cooperative control method for a general microgrid, which are characterized in that a plurality of microgrids are divided into a plurality of microgrid intelligent units for regulation and control, the microgrids in a power distribution system are divided to form the microgrid intelligent units, then the autonomous-cooperative control method is adopted, so that high-permeability distributed energy grid connection is safer and more stable, and the stability and the economy of a distributed energy region are improved by comprehensively considering the stability and the economy.
Description
Technical Field
The invention relates to the technical field of area control of a universal micro-grid, in particular to an area autonomous-cooperative control system and a control method of the universal micro-grid.
Background
In recent years, attention has been paid to a microgrid system mainly based on distributed clean energy. The microgrid is primarily composed of distributed energy sources, energy storage devices, and local loads, which can provide energy to critical locations and can provide energy support during a power distribution system fault. However, a single microgrid has small working capacity and poor disturbance resistance, and the load in the network has variability. Therefore, the micro-grid has certain problems in power supply reliability and energy complementation.
In order to solve the problems, the concept of the smart grid is developed, and the smart grid refers to a micro grid group formed by interconnecting an energy storage system, a load, a distributed power supply and the like which are located at adjacent geographic positions, and can be operated in an off-grid mode or a grid-connected mode. Since the ubiquitous microgrid is much more complex in control structure than the microgrid, it is necessary to control energy interaction and stable operation of the ubiquitous microgrid.
At present, related research results are available in the aspects of energy management and control technology of a microgrid, but certain defects still exist: (1) The existing research is difficult to form a uniform control method for the universal micro-grid system; (2) The research on cooperative control of the smart grid and the microgrid under the condition of high-permeability distributed energy grid connection is lacked; (3) Although the energy storage device can relieve the adverse effect of new energy grid connection, the cost is high, and the existing research is difficult to provide a reasonable configuration scheme.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a ubiquitous micro-grid regional autonomous-cooperative control system and a control method, which can ensure the efficient, safe and stable operation of a power distribution system and improve the operation economy of the power distribution system.
In order to solve the above technical problem, the present invention provides a regional autonomous-cooperative control system for a ubiquitous micro-grid, comprising: the system comprises a power distribution system and a microgrid intelligent unit; the power distribution system comprises a plurality of microgrid intelligent units, and each microgrid intelligent unit comprises a plurality of microgrids.
Preferably, the microgrid comprises a local load and new energy equipment, and the local load and the new energy equipment are both connected to the microgrid; a large amount of new energy equipment is accessed to the tail end of a regional power grid, so that the loss caused by power shortage in the local load peak value section can be reduced to a certain extent; meanwhile, the large-scale access of new energy has very obvious natural characteristics and larger randomness, is greatly influenced by the installation scale, and when the installation scale is larger, the local load is difficult to be absorbed, thereby bringing about great influence on the safe and stable operation of a regional power grid.
Correspondingly, the autonomous-cooperative control method for the area of the smart microgrid comprises the following steps:
step 1, clustering three information objects of voltage offset, new energy consumption rate and distance between micro grids by a micro grid intelligent unit according to a K-means clustering algorithm;
step 2, the power distribution system distributes corresponding instructions to each micro-grid intelligent unit, and determines an optimal configuration function of energy storage capacity by using an index weight method to perform cooperative control;
and 3, determining the configuration position of energy storage by the microgrid intelligent unit by using a K-means clustering algorithm, and obtaining energy storage capacity by using an artificial fish swarm algorithm to perform autonomous control.
Preferably, in step 1, the voltage offset Δ U i Comprises the following steps:
wherein, P Vi And Q Vi Active and reactive power U generated by new energy equipment in the ith microgrid intelligent unit s Is the bus voltage, P Li 、Q Li Active and reactive power, R, of the load in the ith microgrid intelligent unit i 、X i The resistance and the reactance of the line in the ith microgrid intelligent unit are respectively;
new energy consumption rate P i % is:
wherein, P Vu,i The consumed new energy power in the ith microgrid intelligent unit is obtained;
distance D between the micro-nets i Comprises the following steps:
D i ＝||L i -M||
wherein D is i For the distance of the balancing node to each node, M is the balancing node, L i The rest nodes in the ith micro-network.
Preferably, three information objects x of voltage deviation, new energy consumption rate and distance between micro-nets i Comprises the following steps:
x i ＝[(ΔU i ,P i ％,D i )]。
preferably, in step 2, the relationship between the total command of the power distribution system and the commands allocated to the microgrid intelligent units is as follows:
wherein, the delta P is a total command sent by the power distribution system to the intelligent unit, and the delta P i And I is the number of the microgrid intelligent units.
Preferably, in step 2, the determining, by the power distribution system, the optimal configuration function of the energy storage capacity by using the index weight method specifically includes the following steps:
step 21, obtaining index weights of voltage deviation, economy and new energy consumption rate, wherein the index weights are respectively omega 1 、ω 2 、ω 3 And the following conditions are met:
ω 1 +ω 2 +ω 3 ＝1；
step 22, obtaining the voltage deviation factor U of the energy storage configuration i Economic factor C i New energy consumption rate factor P i The following were used:
C i ＝αP Ei
wherein, P Ei Representing the charging power of the stored energy in the ith microgrid intelligent unit, wherein alpha is an energy storage economic coefficient;
step 23, according to the obtained index weight, the energy storage capacity optimal configuration function f is:
minf＝ω 1 U i +ω 2 C i -ω 3 P i 。
preferably, in step 3, the energy storage configuration position is a clustering center solved by a K-means clustering algorithm, and the expression is as follows:
wherein, | C k I represents the number of microgrids contained in the kth microgrid intelligent unit, and the Center k Is the configuration position for energy storage. Preferably, in step 3, the constraint condition of the energy storage capacity obtained by using the artificial fish swarm algorithm is as follows:
0≤P Ei ≤ΔP i 。
the beneficial effects of the invention are as follows: according to the method, a plurality of micro-grids are divided into a plurality of micro-grid intelligent units for regulation and control, the micro-grids in the power distribution system are divided to form the micro-grid intelligent units, then the autonomous-cooperative control method is adopted, so that the high-permeability distributed energy grid connection is safer and more stable, and the stability and the economy of the distributed energy area are improved by comprehensively considering the stability and the economy.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Fig. 2 is a schematic structural diagram of the microgrid according to the present invention.
FIG. 3 is a flow chart illustrating a control method according to the present invention.
Detailed Description
As shown in fig. 1, the autonomous-cooperative control system for a ubiquitous microgrid region in the present embodiment includes a power distribution system and microgrid intelligent units, each microgrid intelligent unit includes a plurality of microgrids, and as shown in fig. 2, each microgrid includes a local load and a new energy device. The invention adopts a ubiquitous microgrid regional autonomous-cooperative control system which comprises a power distribution system and microgrid intelligent units and is characterized in that the power distribution system comprises a plurality of microgrid intelligent units, each microgrid intelligent unit comprises a plurality of microgrids, and each microgrid comprises a local load and new energy equipment.
The micro-grid intelligent unit is formed by clustering three information objects of voltage deviation, new energy consumption rate and distance between micro-grids according to a K-means clustering algorithm.
And the cooperative control is to distribute corresponding instructions to each micro-grid intelligent unit according to the total instructions of the power distribution system and determine the optimal configuration function of the energy storage capacity by using an index weight method.
The autonomous control is to determine the configuration position of energy storage in the micro-grid intelligent unit by using a K-means clustering algorithm and obtain the energy storage capacity by using an artificial fish swarm algorithm.
The ubiquitous grid area control system of claim 1, wherein the voltage offset Δ U is a delta U i Comprises the following steps:
wherein, P Vi And Q Vi Active and reactive power U generated by new energy equipment in the ith microgrid intelligent unit s Is the bus voltage, P Li 、Q Li The active power and the reactive power of the load in the ith microgrid intelligent unit are respectively; r is i 、X i The resistance and the reactance of the circuit in the ith microgrid intelligent unit are respectively.
The consumption rate P of the new energy i % is:
wherein, P Vu,i And the new energy power consumed in the ith microgrid intelligent unit is obtained.
Distance D between the micro-nets i Comprises the following steps:
D i ＝||L i -M||
wherein D is i For the distance of the balancing node to each node, M is the balancing node, L i The rest nodes in the ith micro-network.
Three information objects x of voltage deviation, new energy consumption rate and distance between micro-nets i Comprises the following steps:
x i ＝[(ΔU i ,P i ％,D i )]
the relation between the total instruction of the power distribution system and the instruction distributed by each microgrid intelligent unit is as follows:
wherein, the delta P is a total command sent by the power distribution system to the intelligent unit, and the delta P i And I is the number of the microgrid intelligent units.
The step of determining the optimal configuration function of the energy storage capacity comprises the following steps:
(1) Obtaining the index weights of voltage deviation, economy and new energy consumption rate, wherein the index weights are respectively omega 1 、ω 2 、ω 3 And the following conditions are met:
ω 1 +ω 2 +ω 3 ＝1
(2) Obtaining voltage offset factor U of energy storage configuration i Economic factor C i New energy consumption rate factor P i The following were used:
C i ＝αP Ei
wherein, P Ei And the charging power representing the energy stored in the ith microgrid intelligent unit is alpha, and the alpha is an energy storage economic coefficient.
(3) According to the obtained index weight, the optimal configuration function f of the energy storage capacity is as follows:
minf＝ω 1 U i +ω 2 C i -ω 3 P i
and the energy storage configuration position is a clustering center calculated by a K-means clustering algorithm. The expression is as follows:
wherein, | C k | represents the microgrid contained in the kth microgrid intelligent unitNumber, center k Is the configuration position for energy storage.
As shown in fig. 3, the constraint condition for obtaining the energy storage capacity by using the artificial fish swarm algorithm is as follows:
0≤P Ei ≤ΔP i 。
according to the method, a plurality of micro-grids are divided into a plurality of micro-grid intelligent units for regulation and control, the micro-grids in the power distribution system are divided to form the micro-grid intelligent units, and then the high-permeability distributed energy grid connection is safer and more stable by adopting an autonomous-cooperative control method. In addition, the stability and the economy of the distributed energy resource region are improved by a method of comprehensively considering the stability and the economy.
Claims (8)
1. A ubiquitous microgrid regional autonomous-cooperative control system is characterized by comprising: the system comprises a power distribution system and a microgrid intelligent unit; the power distribution system comprises a plurality of microgrid intelligent units, and each microgrid intelligent unit comprises a plurality of microgrids.
2. The regional autonomous-cooperative control system of claim 1 wherein the microgrid comprises local loads and new energy devices, the local loads and the new energy devices being simultaneously connected to the microgrid.
3. A ubiquitous microgrid regional autonomous-cooperative control method is characterized by comprising the following steps:
step 1, clustering three information objects of voltage deviation, new energy consumption rate and distance between micro grids by a micro grid intelligent unit according to a K-means clustering algorithm;
step 2, the power distribution system distributes corresponding instructions to each microgrid intelligent unit, and determines an optimal configuration function of energy storage capacity by using an index weight method to perform cooperative control;
and 3, determining the configuration position of energy storage by the microgrid intelligent unit by using a K-means clustering algorithm, and obtaining energy storage capacity by using an artificial fish swarm algorithm to perform autonomous control.
4. Such as rightThe autonomous-cooperative control method for regions in a microgrid according to claim 3, characterized in that in step 1, the voltage deviation Δ U i Comprises the following steps:
wherein, P Vi And Q Vi Active and reactive power U generated by new energy equipment in the ith microgrid intelligent unit s Is the bus voltage, P Li 、Q Li Respectively the active and reactive power, R, of the load in the ith microgrid intelligent unit i 、X i The resistance and the reactance of the line in the ith microgrid intelligent unit are respectively;
new energy consumption rate P i % is:
wherein, P Vu,i The consumed new energy power in the ith microgrid intelligent unit is obtained;
distance D between the micro-nets i Comprises the following steps:
D i ＝||L i -M||
wherein D is i For the distance of the balancing node to each node, M is the balancing node, L i The rest nodes in the ith micro-network.
5. The autonomous-cooperative regional control method of microgrid according to claim 3, characterized in that three information objects x of voltage offset, new energy consumption rate and distance between microgrid i Comprises the following steps:
x i ＝[(ΔU i ,P i ％,D i )]。
6. the autonomous-cooperative control method for the microgrid areas according to claim 3, wherein in the step 2, the step of determining the optimal configuration function of the energy storage capacity by the power distribution system by using an index weight method specifically comprises the following steps:
step 21, obtaining index weights of voltage deviation, economy and new energy consumption rate, wherein the index weights are respectively omega 1 、ω 2 、ω 3 And the following conditions are met:
ω 1 +ω 2 +ω 3 ＝1；
step 22, obtaining the voltage deviation factor U of the energy storage configuration i Economic factor C i New energy consumption rate factor P i The following:
C i ＝αP Ei
wherein, P Ei Representing the charging power of the stored energy in the ith microgrid intelligent unit, wherein alpha is an energy storage economic coefficient;
step 23, according to the obtained index weight, the energy storage capacity optimal configuration function f is:
minf＝ω 1 U i +ω 2 C i -ω 3 P i 。
7. the autonomous-cooperative control method for regions of the microgrid according to claim 3, wherein in step 3, the energy storage configuration position is a clustering center calculated by a K-means clustering algorithm, and the expression is as follows:
wherein, | C k I represents the number of microgrids contained in the kth microgrid intelligent unit, and the Center k Is the configuration position for energy storage.
8. The autonomous-cooperative control method for regions of the microgrid according to claim 3, wherein in step 3, the constraint condition for obtaining the energy storage capacity by using the artificial fish swarm algorithm is as follows:
0≤P Ei ≤ΔP i 。
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| WO2013005875A1 (en) * | 2011-07-05 | 2013-01-10 | 한국전력공사 | Coordination control system and method for a micro-grid energy storage device |
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| CN109842147A (en) * | 2018-02-01 | 2019-06-04 | 大全集团有限公司 | A kind of control system and its method of micro-grid connection dominant eigenvalues |
| CN111769543A (en) * | 2020-03-24 | 2020-10-13 | 绍兴大明电力设计院有限公司 | Regional power distribution network autonomous cooperative operation optimization method containing multiple micro-grids |
| CN114421479A (en) * | 2021-11-30 | 2022-04-29 | 国网浙江省电力有限公司台州供电公司 | Voltage control method for AC/DC micro-grid group cooperative mutual supply |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013005875A1 (en) * | 2011-07-05 | 2013-01-10 | 한국전력공사 | Coordination control system and method for a micro-grid energy storage device |
| CN107292449A (en) * | 2017-07-18 | 2017-10-24 | 广东双新电气科技有限公司 | One kind is containing the scattered collaboration economic load dispatching method of many microgrid active distribution systems |
| CN109842147A (en) * | 2018-02-01 | 2019-06-04 | 大全集团有限公司 | A kind of control system and its method of micro-grid connection dominant eigenvalues |
| CN111769543A (en) * | 2020-03-24 | 2020-10-13 | 绍兴大明电力设计院有限公司 | Regional power distribution network autonomous cooperative operation optimization method containing multiple micro-grids |
| CN114421479A (en) * | 2021-11-30 | 2022-04-29 | 国网浙江省电力有限公司台州供电公司 | Voltage control method for AC/DC micro-grid group cooperative mutual supply |
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