CN115085189A - Chain type energy network load transfer method and device - Google Patents
Chain type energy network load transfer method and device Download PDFInfo
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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
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
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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
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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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
- H02J5/00—Circuit arrangements for transfer of electric power between ac networks and dc networks
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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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- 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
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Abstract
A chain type energy network load transfer method and a device thereof are provided, the method comprises: acquiring parameters of a chained energy network and alternating current/direct current power information; obtaining a multi-target function based on the parameters of the chained energy network and the AC/DC power information; establishing a chain type energy network load transfer multi-target optimization control strategy model based on the multi-target function and the chain type energy network operation constraint set; and solving the chain type energy network load transfer multi-objective optimization control strategy model to obtain a chain type energy coupling device, an energy storage system power instruction and power failure distribution station load recovery power so as to realize chain type energy network load transfer. By the method and the device provided by the embodiment of the invention, the emergency power support of the power-off distribution area can be efficiently realized, and the power supply reliability and the risk resistance of the distribution area are favorably improved.
Description
Technical Field
The invention relates to the technical field of chained energy networks, in particular to a method and a device for load transfer of a chained energy network and a computer storage medium.
Background
The mountain village, coastline etc. area have a great deal of long and narrow distribution branch line, and these long and narrow distribution branch lines are mostly single power supply point and send into, in case when the circuit breaks down or the operation and maintenance overhauls, will cause relevant distribution panel district to have a power failure, seriously influence distribution panel district power supply reliability, so promote long and narrow distribution branch line subordinate to the power supply reliability problem of district urgent need to solve.
With the mature development of semiconductor devices and power electronic regulation and control technologies, the low-voltage direct-current chain type energy network has a wide application prospect, and the normal power distribution area is supported to carry out emergent power and energy support on a power failure power distribution area through a low-voltage direct-current chain type channel through the chain type interconnection of a plurality of areas under the long and narrow branch lines, so that the power supply reliability of the power distribution area under the long and narrow branch lines is improved in a power assisting mode. However, the research on emergency power supply of the power distribution area based on the chain type energy network is rare at present, and especially, the comprehensive optimization of technical economy of the chain type energy network in the aspect of emergency power supply application of the power distribution area and the diversified operation constraint consideration of the chain type energy network are lacked.
Disclosure of Invention
In view of this, the invention provides a method and a device for transferring load of a chained energy network and a computer storage medium, and aims to solve the problem of low power supply reliability of the existing sub-distribution area under long and narrow distributed branch lines.
In a first aspect, the present invention provides a method for load transfer of a chained energy grid, where the method includes: acquiring parameters of a chained energy network and alternating current/direct current power information; obtaining a multi-target function based on the chain type energy network parameters and the alternating current/direct current power information; establishing a chain type energy network load transfer multi-target optimization control strategy model based on the multi-target function and the chain type energy network operation constraint set; and solving the chain type energy network load transfer multi-objective optimization control strategy model to obtain a chain type energy coupling device, an energy storage system power instruction and power failure distribution station load recovery power so as to realize chain type energy network load transfer.
Further, obtaining a multi-objective function based on the chain type energy network parameters and the alternating current/direct current power information includes: obtaining the adjustment margin of the chained energy network according to the parameters of the chained energy network and the AC/DC power information; obtaining a load recovery power constraint boundary of the power outage distribution station area based on the load recovery requirement of the power outage distribution station area, the capacity of the chained energy coupling device and the adjustment margin of the chained energy grid; and constructing to obtain a multi-objective function based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area.
Further, obtaining a chain energy network adjustment margin according to the chain energy network parameter and the ac-dc power information includes: performing boundary evaluation on load transfer of power failure distribution station area to obtain adjustment margin P of chain type energy network mar ：
P cload,dc,i ＝P load,dc,i -P pv,dc,i ；
Wherein S is d,i For distributing capacity, S, to node i ess,i Is the energy storage power capacity, P, of node i load,ac,i AC load, P, of non-blackout distribution block for node i pv,dc,i Is the photovoltaic power of node i; lambda [ alpha ] i Whether the node i has available energy storage or not is shown, and when the node i is not provided with energy storage or the energy storage SOC is lower than the lower boundary and can not discharge, the lambda is determined i 0, otherwise λ i ＝1；N d Is the total number of nodes and is a positive integer.
Further, the obtaining of the load recovery power constraint boundary of the blackout power distribution station based on the load recovery requirement of the blackout power distribution station, the capacity of the chained energy coupling device, and the adjustment margin of the chained energy grid includes: obtaining a load recovery power constraint boundary P of a power failure distribution station area by adopting the following formula fa,max ：
P fa,max ＝min{P fa,demand ,P mar ,S cint,m }；
Wherein, P fa,demand For load recovery requirements of blackout distribution areas, P mar Adjusting margins, S, for chained energy networks cint,m Is the chain energy coupling device capacity.
Further, the method for constructing and obtaining the multi-objective function based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area comprises the following steps: the multi-objective function O is constructed as follows:
P d,i ＝P load,ac,i +P ac,cint,i ；
wherein, alpha, beta and gamma are weight coefficients, P ac,cint,i 、P ess,i Respectively is the power of the alternating current side and the energy storage power of the direct current side of the ith power distribution station area chain type energy coupling device P fa The load power recovery quantity of the power failure distribution station area is obtained.
Further, the set of chained energy grid operating constraints comprises: the system comprises a distribution transformer area distribution transformer constraint, a chain type energy coupling device constraint, an energy storage constraint and a chain type energy network power flow constraint.
Further, the chain energy grid parameters include: the method comprises the following steps that distribution transformation parameters of a power distribution area of a chain type energy grid, parameters of a chain type energy coupling device and parameters of a low-voltage direct-current chain type line are obtained; the AC/DC power information includes: the method comprises the steps of non-power-failure distribution area alternating current load, power-failure distribution area load recovery requirement and chain type energy network direct current side source load storage power.
In a second aspect, an embodiment of the present invention further provides a chain energy grid load transfer device, where the device includes: the data acquisition unit is used for acquiring parameters of the chained energy network and AC/DC power information; the first processing unit is used for obtaining a multi-target function based on the chain type energy network parameters and the alternating current and direct current power information; the second processing unit is used for establishing a chain type energy network load transfer multi-objective optimization control strategy model based on the multi-objective function and the chain type energy network operation constraint set; and the solving unit is used for solving the chain type energy network load transfer multi-target optimization control strategy model to obtain a chain type energy coupling device, an energy storage system power instruction and power failure distribution station load recovery power so as to realize chain type energy network load transfer.
Further, the first processing unit is further configured to: obtaining the adjustment margin of the chained energy network according to the parameters of the chained energy network and the AC/DC power information; obtaining a load recovery power constraint boundary of the power outage distribution station area based on the load recovery requirement of the power outage distribution station area, the capacity of the chained energy coupling device and the adjustment margin of the chained energy grid; and constructing to obtain a multi-objective function based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area.
Further, obtaining a chain energy grid adjustment margin according to the chain energy grid parameter and the ac/dc power information includes: performing boundary evaluation on load transfer of power failure distribution station area to obtain adjustment margin P of chain type energy network mar ：
P cload,dc,i ＝P load,dc,i -P pv,dc,i ；
Wherein S is d,i For distributing capacity, S, to node i ess,i Is the energy storage power capacity, P, of node i load,ac,i AC load, P, of non-blackout distribution block for node i pv,dc,i Is the photovoltaic power of node i; lambda [ alpha ] i Whether the node i has available energy storage or not is shown, and when the node i is not provided with energy storage or the energy storage SOC is lower than the lower boundary and can not discharge, the lambda is determined i 0, otherwise λ i ＝1；N d Is the total number of nodes and is a positive integer.
Further, the obtaining of the load recovery power constraint boundary of the blackout power distribution station based on the load recovery requirement of the blackout power distribution station, the capacity of the chained energy coupling device, and the adjustment margin of the chained energy grid includes: obtaining a load recovery power constraint boundary P of a power failure distribution station area by adopting the following formula fa,max ：
P fa,max ＝min{P fa,demand ,P mar ,S cint,m }；
Wherein, P fa,demand For load recovery requirements of blackout distribution areas, P mar Adjusting margins, S, for chained energy networks cint,m Is the chain energy coupling device capacity.
Further, the method for constructing and obtaining the multi-objective function based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area comprises the following steps: the multi-objective function O is constructed as follows:
P d,i ＝P load,ac,i +P ac,cint,i ；
wherein, alpha, beta and gamma are weight coefficients, P ac,cint,i 、P ess,i Respectively is the power of the alternating current side and the energy storage power of the direct current side of the ith power distribution station area chain type energy coupling device P fa The load power recovery quantity of the power failure distribution station area is obtained.
Further, the set of chained energy grid operating constraints comprises: the system comprises a distribution transformer area distribution transformer constraint, a chain type energy coupling device constraint, an energy storage constraint and a chain type energy network power flow constraint.
Further, the chain energy grid parameters include: the method comprises the following steps that distribution transformation parameters of a power distribution area of a chain type energy grid, parameters of a chain type energy coupling device and parameters of a low-voltage direct-current chain type line are obtained; the AC/DC power information includes: the method comprises the steps of non-power-failure distribution area alternating current load, power-failure distribution area load recovery requirement and chain type energy network direct current side source load storage power.
In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the methods provided by the foregoing embodiments.
The method, the device and the computer storage medium for chain type energy network load transfer provided by the embodiment of the invention are characterized in that a multi-objective function is obtained based on chain type energy network parameters and alternating current/direct current power information, a chain type energy network load transfer multi-objective optimization control strategy model is established by considering a chain type energy network operation constraint set, the model is solved, and a chain type energy coupling device, an energy storage system power instruction and power failure distribution station load recovery power are obtained, so that chain type energy network load transfer is realized, the emergency power supply requirement of a power failure distribution station is met, the emergency power support of the power failure distribution station can be efficiently realized, and the power supply reliability and the risk resistance of the power distribution station are favorably improved.
Drawings
Fig. 1 shows an exemplary flowchart of a method of chain energy grid load transfer according to an embodiment of the invention;
figure 2 shows a low voltage dc link energy network power flow diagram according to an embodiment of the invention;
fig. 3 shows a schematic structural diagram of a chain energy grid load transfer device according to an embodiment of the invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 shows an exemplary flowchart of a method for load transfer of a chained energy grid according to an embodiment of the present invention.
As shown in fig. 1, the method includes:
step S101: and acquiring parameters of the chained energy network and alternating current and direct current power information.
Further, the chained energy grid parameters include: the method comprises the following steps that distribution transformation parameters of a power distribution area of a chain type energy grid, parameters of a chain type energy coupling device and parameters of a low-voltage direct-current chain type line are obtained;
the AC/DC power information includes: the method comprises the steps of non-power-failure distribution area alternating current load, power-failure distribution area load recovery requirement and chain type energy network direct current side source load storage power.
For the chained energy grid parameters:
chain energy network distribution station district distribution becomes parameter, includes: distribution transformation capacity S d,1 、S d,2 、…、S d,i …、
Wherein N is d Is the total number of distribution areas; no-load loss P of distribution transformer o,d,1 、P o,d,2 、…、P o,d,i …、
Distribution transformer short-circuit loss P sc,d,1 、P sc,d,2 、…、P sc,d,i …、
And the serial number m of the power failure distribution station area.
A chained energy coupling device parameter comprising: capacity S cint,1 、S cint,2 、…、S cint ,i…、
And AC/DC conversion efficiency
Low voltage dc link line parameters including: node i self admittance G cint,ii (ii) a Mutual admittance G between node i and node k cint,ik (ii) a Minimum value of node voltage U dc,cint,min (ii) a And maximum value of node voltage U dc,cint,max 。
For ac-dc power information:
non-blackout distribution area AC load, including：P load,ac,1 、P load,ac,2 、…、P load,ac,i …、
Where i ≠ m.
The load of power failure distribution station district resumes demand, include: p load,ac,m 。
Chain energy network direct current side source load storage power includes: photovoltaic power P of each node pv,dc,1 、P pv,dc,2 、…、P pv,dc,i …、
Energy storage power capacity S of each node ess,1 、S ess,2 、…、S ess,i …、
Energy storage capacity E ess,1 、E ess,2 、…、E ess,i …、
Energy storage SOC value SOC ess,1 、SOC ess,2 、…、SOC ess,i …、
Energy storage charge-discharge efficiency phi ess,1 、φ ess,2 、…、φ ess,i …、
Energy storage SOC constraint lower boundary SOC down Upper bound SOC constrained by energy storage SOC up (ii) a And a DC load P load,dc,1 、P load,dc,2 、…、P load,dc,i …、
Step S102: and obtaining a multi-target function based on the parameters of the chained energy network and the AC/DC power information.
Further, step S102 includes:
obtaining the adjustment margin of the chained energy network according to the parameters of the chained energy network and the AC/DC power information;
obtaining a load recovery power constraint boundary of the power outage distribution station area based on the load recovery requirement of the power outage distribution station area, the capacity of the chained energy coupling device and the adjustment margin of the chained energy grid;
and constructing to obtain a multi-objective function based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area.
Fig. 2 shows a schematic view of a low voltage dc link energy network flow according to an embodiment of the invention. As shown in fig. 2, according to the parameters of the chained energy network and the ac/dc power information, the boundary evaluation is performed on the load transfer of the blackout distribution station, and then a multi-objective function is constructed with the minimum regulation cost and the maximum load recovery of the blackout distribution station.
Further, according to the chain type energy network parameter and the alternating current-direct current power information, obtaining the chain type energy network adjustment margin, including:
performing boundary evaluation on load transfer of power failure distribution station area to obtain adjustment margin P of chain type energy network mar ：
P cload,dc,i ＝P load,dc,i -P pv,dc,i ；
Wherein S is d,i For distributing capacity, S, to node i ess,i Is the energy storage power capacity, P, of node i load,ac,i AC load, P, for non-blackout distribution block at node i pv,dc,i Is the photovoltaic power of node i; lambda [ alpha ] i Whether the node i has available energy storage or not is shown, and when the node i is not provided with energy storage or the energy storage SOC is lower than the lower boundary and can not discharge, the lambda is determined i 0, otherwise λ i ＝1；N d Is the total number of nodes and is a positive integer.
Further, based on the load restoration demand, the chain energy coupling device capacity and the chain energy grid adjustment margin of the blackout power distribution platform, a load restoration power constraint boundary of the blackout power distribution platform is obtained, which includes:
obtaining a load recovery power constraint boundary P of a power failure distribution station area by adopting the following formula fa,max ：
P fa,max ＝min{P fa,demand ,P mar ,S cint,m }；
Wherein, P fa,demand For load recovery requirements of blackout distribution areas, P mar Adjusting margins, S, for chained energy networks cint,m Is the chain energy coupling device capacity.
Further, based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area, a multi-objective function is constructed and obtained, and the method comprises the following steps:
the multi-objective function O is constructed as follows:
P d,i ＝P load,ac,i +P ac,cint,i ；
wherein, alpha, beta and gamma are weight coefficients, P ac,cint,i 、P ess,i Respectively is the power of the alternating current side and the energy storage power of the direct current side of the ith power distribution station area chain type energy coupling device P fa The load power recovery quantity of the power failure distribution station area is obtained.
By taking the minimum regulation and control cost and the maximum power failure distribution station load recovery as objective functions, namely the multi-objective function O is constructed based on the minimum regulation and control cost and the maximum power failure distribution station load recovery, the common reliability of the power failure distribution station is improved.
According to the embodiment, the adjustment resources of each power distribution area of the chain type energy network and the load requirements of the power failure power distribution area are combined, and the load transfer boundary of the power failure power distribution area is quantitatively evaluated, so that the load recovery power constraint boundary of the power failure power distribution area is determined, and the next optimization control modeling and solving efficiency is improved.
Step S103: and establishing a chain type energy network load transfer multi-objective optimization control strategy model based on the multi-objective function and the chain type energy network operation constraint set.
Fig. 2 shows a schematic view of a low voltage dc link energy network flow according to an embodiment of the invention. As shown in fig. 2, based on the multi-objective function, the operation constraint set of the chained energy network is further considered, and a load transfer multi-objective optimization control strategy model of the chained energy network is established.
Further, the set of chained energy grid operating constraints comprises: the system comprises a distribution transformer area distribution transformer constraint, a chain type energy coupling device constraint, an energy storage constraint and a chain type energy network power flow constraint.
The distribution transformer area distribution constraint is as follows:
0≤P d,i ≤S d,i 。
the chain energy coupling device is constrained as follows:
-S cint,i ≤P ac,cint,i ≤S cint,i 。
the energy storage constraints are as follows:
0≤P ess,i ≤S ess,i ；
where Δ T is the regulation period.
The flow constraint of the chained energy network is as follows:
U dc,cint,min ≤U dc,cint,i ≤U dc,cint,max ；
where ρ is + 、ρ - Representing the power direction, are all variable from 0 to 1, when power is injected into the chain type energy coupling device from the power distribution station area, namely P ac,cint,i At > 0, ρ + ＝1、ρ - 0; when power is discharged from the chained energy coupling device to the distribution area, i.e. P ac,cint,i At < 0, ρ + ＝0、ρ - 1 is ═ 1; when the chain type energy coupling device and the power distribution station have no power interaction, namely P ac,cint,i When equal to 0, ρ + ＝0、ρ - ＝0。U dc,cint,i Representing the node i voltage.
Step S104: and solving the chain type energy network load transfer multi-objective optimization control strategy model to obtain a chain type energy coupling device, an energy storage system power instruction and power failure distribution station load recovery power so as to realize chain type energy network load transfer.
Obtaining a power instruction P of the chained energy coupling device by solving a chained energy network load transfer multi-objective optimization control strategy model ac,cint,1 、P ac,cint,2 、…、P ac,cint,i …、
Energy storage system power command P ess,1 、P ess,2 、…、P ess,i …、
And the load recovery power P of the power failure distribution station area fa And the load of the chain type energy network is converted to supply, and the emergency power supply requirement of a power failure distribution area is met.
In summary, the chain type energy grid load transfer method provided by each embodiment of the present invention has the following advantages:
1) and the evaluation of the load transfer boundary of the power-off distribution station area is realized. The method comprises the steps that adjustment resources of each power distribution area of a chain type energy network and load requirements of a power failure area are combined, and quantitative evaluation is conducted on load transfer boundaries of the power failure power distribution area, so that load recovery power constraint boundaries of the power failure power distribution area are determined, and next-step optimization control modeling and solving efficiency is improved;
2) and the utilization levels of different adjustment resources of the chained energy network are improved. Considering the distribution transformer regulating capacity of a non-power-off area and energy storage resources of different nodes on the direct-current side of a chained energy network, giving weight to add an objective function of a control model, preferentially utilizing the distribution transformer regulating capacity to obtain power support from the power network, and starting energy storage regulation when the distribution transformer regulating margin is insufficient or a chained energy coupling device reaches a constraint boundary, so as to improve the emergency power supply sustainability after load transfer;
3) the load optimization switching of the power failure distribution area based on the chain type energy network is realized. The optimized control model realizes the maximum recovery of the load of the power-off distribution station area and improves the technical economy of load transfer of the chained energy network by minimizing the distribution and transformation loss of the non-power-off station area, the low-voltage direct-current operation loss of the chained energy network and the energy storage and adjustment electric quantity.
Fig. 3 shows a schematic structural diagram of a chain energy grid load transfer device according to an embodiment of the invention.
As shown in fig. 3, the apparatus includes:
and the data acquisition unit 301 is configured to acquire parameters of the chained energy network and ac/dc power information.
Further, the chained energy grid parameters include: the method comprises the following steps that distribution transformation parameters of a power distribution area of a chain type energy grid, parameters of a chain type energy coupling device and parameters of a low-voltage direct-current chain type line are obtained;
the AC/DC power information includes: the method comprises the steps of non-power-failure distribution area alternating current load, power-failure distribution area load recovery requirement and chain type energy network direct current side source load storage power.
For the chained energy grid parameters:
chain energy network distribution station district distribution becomes parameter, includes: distribution transformation capacity S d,1 、S d,2 、…、S d,i …、
Wherein N is d Is the total number of distribution areas; no-load loss P of distribution transformer o,d,1 、P o,d,2 、…、P o,d,i …、
Distribution transformer short-circuit loss P sc,d,1 、P sc,d,2 、…、P sc,d,i …、
And the serial number m of the power failure distribution station area.
A chained energy coupling device parameter comprising: capacity S cint,1 、S cint,2 、…、S cint ,i…、
And AC/DC conversion efficiency
Low voltage dc link line parameters including: node i self admittance G cint,ii (ii) a Mutual admittance G between node i and node k cint,ik (ii) a Minimum value of node voltage U dc,cint,min (ii) a And maximum value of node voltage U dc,cint,max 。
For ac-dc power information:
non-blackout distribution station district alternating current load includes: p load,ac,1 、P load,ac,2 、…、P load,ac,i …、
Where i ≠ m.
The load recovery demand in power outage distribution station district includes: p load,ac,m 。
Chain energy network direct current side source load storage power includes: photovoltaic power P of each node pv,dc,1 、P pv,dc,2 、…、P pv,dc,i …、
Energy storage power capacity S of each node ess,1 、S ess,2 、…、S ess,i …、
Energy storage capacity E ess,1 、E ess,2 、…、E ess,i …、
Energy storage SOC value SOC ess,1 、SOC ess,2 、…、SOC ess,i …、
Energy storage charge-discharge efficiency phi ess,1 、φ ess,2 、…、φ ess,i …、
Energy storage SOC constraint lower boundary SOC down Upper bound SOC constrained by energy storage SOC up (ii) a And a DC load P load,dc,1 、P load,dc,2 、…、P load,dc,i …、
The first processing unit 302 is configured to obtain a multi-objective function based on the chained energy network parameters and the ac/dc power information.
Further, the first processing unit 302 is further configured to:
obtaining the adjustment margin of the chained energy network according to the parameters of the chained energy network and the AC/DC power information;
obtaining a load recovery power constraint boundary of the power outage distribution station area based on the load recovery requirement of the power outage distribution station area, the capacity of the chained energy coupling device and the adjustment margin of the chained energy grid;
and constructing to obtain a multi-objective function based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area.
Fig. 2 shows a schematic flow diagram of a low voltage dc link energy network according to an embodiment of the invention. As shown in fig. 2, according to the parameters of the chained energy network and the ac/dc power information, the boundary evaluation is performed on the load transfer of the blackout distribution station, and then a multi-objective function is constructed with the minimum regulation cost and the maximum load recovery of the blackout distribution station.
Further, according to chain energy network parameter and alternating current-direct current power information, obtain chain energy network adjustment margin, include:
performing boundary evaluation on load transfer of power failure distribution station area to obtain adjustment margin P of chain type energy network mar ：
P cload,dc,i ＝P load,dc,i -P pv,dc,i ；
Wherein S is d,i For distributing capacity, S, to node i ess,i Is the energy storage power capacity, P, of node i load,ac,i AC load, P, of non-blackout distribution block for node i pv,dc,i Is the photovoltaic power of node i; lambda [ alpha ] i Indicating whether the node i has available energy storage, and when the node i is not provided with energy storage or the energy storage SOC is lower than the lower boundary and can not discharge, determining that the lambda is higher than the threshold i 0, otherwise λ i ＝1；N d Is the total number of nodes and is a positive integer.
Further, based on the load restoration demand, the chain energy coupling device capacity and the chain energy grid adjustment margin of the blackout power distribution platform, a load restoration power constraint boundary of the blackout power distribution platform is obtained, which includes:
obtaining a load recovery power constraint boundary P of a power failure distribution station area by adopting the following formula fa,max ：
P fa,max ＝min{P fa,demand ,P mar ,S cint,m }；
Wherein, P fa,demand For load recovery requirements of blackout distribution areas, P mar Adjusting margins, S, for chained energy networks cint,m Is the chain energy coupling device capacity.
Further, based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area, a multi-objective function is constructed and obtained, and the method comprises the following steps:
the multi-objective function O is constructed as follows:
P d,i ＝P load,ac,i +P ac,cint,i ；
wherein, alpha, beta and gamma are weight coefficients, P ac,cint,i 、P ess,i Respectively is the power of the alternating current side and the energy storage power of the direct current side of the ith power distribution station area chain type energy coupling device P fa The load power recovery quantity of the power failure distribution station area is obtained.
By taking the minimum regulation and control cost and the maximum power failure distribution station load recovery as objective functions, namely the multi-objective function O is constructed based on the minimum regulation and control cost and the maximum power failure distribution station load recovery, the common reliability of the power failure distribution station is improved.
According to the embodiment, the adjustment resources of each power distribution area of the chain type energy network and the load requirements of the power failure power distribution area are combined, and the load transfer boundary of the power failure power distribution area is quantitatively evaluated, so that the load recovery power constraint boundary of the power failure power distribution area is determined, and the next optimization control modeling and solving efficiency is improved.
And the second processing unit 303 is configured to establish a chain type energy network load transfer multi-objective optimization control strategy model based on the multi-objective function and the chain type energy network operation constraint set.
Fig. 2 shows a schematic view of a low voltage dc link energy network flow according to an embodiment of the invention. As shown in fig. 2, based on the multi-objective function, the operation constraint set of the chained energy network is further considered, and a load transfer multi-objective optimization control strategy model of the chained energy network is established.
Further, the set of operation constraints of the chained energy grid includes: the system comprises a distribution transformer area distribution transformer constraint, a chain type energy coupling device constraint, an energy storage constraint and a chain type energy network power flow constraint.
The distribution transformer area distribution constraint is as follows:
0≤P d,i ≤S d,i 。
the chain energy coupling device is constrained as follows:
-S cint,i ≤P ac,cint,i ≤S cint,i 。
the energy storage constraints are as follows:
0≤P ess,i ≤S ess,i ；
where Δ T is the regulation period.
The flow constraint of the chained energy network is as follows:
U dc,cint,min ≤U dc,cint,i ≤U dc,cint,max ；
where ρ is + 、ρ - Representing the power direction, are all variable from 0 to 1, when power is injected into the chain type energy coupling device from the power distribution station area, namely P ac,cint,i At > 0, ρ + ＝1、ρ - 0; when power is discharged from the chain energy coupling device to the power distribution station area, namely P ac,cint,i At < 0, ρ + ＝0、ρ - 1 is ═ 1; when the chain type energy coupling device and the power distribution station have no power interaction, namely P ac,cint,i When equal to 0, ρ + ＝0、ρ - ＝0。U dc,cint,i Representing the node i voltage.
And the solving unit 304 is used for solving the chain type energy network load transfer multi-target optimization control strategy model to obtain a chain type energy coupling device, an energy storage system power instruction and power failure distribution area load recovery power so as to realize chain type energy network load transfer.
Multi-objective optimization control by solving chain type energy network load transferObtaining a power instruction P of the chained energy coupling device by using a strategy model ac,cint,1 、P ac,cint,2 、…、P ac,cint,i …、
Energy storage system power command P ess,1 、P ess,2 、…、P ess,i …、
And the load recovery power P of the power failure distribution station area fa And the load of the chain type energy network is converted to supply, and the emergency power supply requirement of a power failure distribution area is met.
In summary, the chain type energy grid load transfer device provided by each embodiment of the present invention has the following advantages:
1) and the evaluation of the load transfer boundary of the power-off distribution station area is realized. The method comprises the steps that adjustment resources of each power distribution area of a chain type energy network and load requirements of a power failure area are combined, and quantitative evaluation is conducted on load transfer boundaries of the power failure power distribution area, so that load recovery power constraint boundaries of the power failure power distribution area are determined, and next-step optimization control modeling and solving efficiency is improved;
2) and the utilization levels of different adjustment resources of the chained energy network are improved. Considering the distribution transformer regulating capacity of a non-power-off area and energy storage resources of different nodes on the direct-current side of a chained energy network, giving weight to add an objective function of a control model, preferentially utilizing the distribution transformer regulating capacity to obtain power support from the power network, and starting energy storage regulation when the distribution transformer regulating margin is insufficient or a chained energy coupling device reaches a constraint boundary, so as to improve the emergency power supply sustainability after load transfer;
3) the load optimization switching of the power failure distribution area based on the chain type energy network is realized. The optimized control model realizes the maximum recovery of the load of the power-off distribution station area and improves the technical economy of load transfer of the chained energy network by minimizing the distribution and transformation loss of the non-power-off station area, the low-voltage direct-current operation loss of the chained energy network and the energy storage and adjustment electric quantity.
The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for transferring load of a chained energy network provided in the above embodiments is implemented.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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 for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (15)
1. A method for load transfer in a chained energy network, the method comprising:
acquiring parameters of a chained energy network and alternating current/direct current power information;
obtaining a multi-target function based on the chain type energy network parameters and the alternating current/direct current power information;
establishing a chain type energy network load transfer multi-target optimization control strategy model based on the multi-target function and the chain type energy network operation constraint set;
and solving the chain type energy network load transfer multi-objective optimization control strategy model to obtain a chain type energy coupling device, an energy storage system power instruction and power failure distribution station load recovery power so as to realize chain type energy network load transfer.
2. The method according to claim 1, wherein the deriving a multi-objective function based on the chained energy grid parameters and the ac-dc power information comprises:
obtaining the adjustment margin of the chained energy network according to the parameters of the chained energy network and the AC/DC power information;
obtaining a load recovery power constraint boundary of the power failure distribution station area based on the load recovery requirement of the power failure distribution station area, the capacity of the chain type energy coupling device and the adjustment margin of the chain type energy grid;
and constructing to obtain a multi-objective function based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area.
3. The method according to claim 2, wherein the obtaining a chain energy grid regulation margin according to the chain energy grid parameter and the ac/dc power information comprises:
performing boundary evaluation on load transfer of power failure distribution station area to obtain adjustment margin P of chain type energy network mar ：
P cload,dc,i ＝P load,dc,i -P pv,dc,i ；
Wherein S is d,i For distributing capacity, S, to node i ess,i Is the energy storage power capacity, P, of node i load,ac,i AC load, P, for non-blackout distribution block at node i pv,dc,i Is the photovoltaic power of node i; lambda [ alpha ] i Whether the node i has available energy storage or not is shown, and when the node i is not provided with energy storage or the energy storage SOC is lower than the lower boundary and can not discharge, the lambda is determined i 0, otherwise λ i ＝1；N d Is the total number of nodes and is a positive integer.
4. The method of claim 2, wherein deriving the blackout distribution substation load restoration power constraint boundary based on the blackout distribution substation load restoration requirements, the chained energy coupling device capacity, and the chained energy grid regulation margin comprises:
obtaining a load recovery power constraint boundary P of a power failure distribution station area by adopting the following formula fa,max ：
P fa,max ＝min{P fa,demand ,P mar ,S cint,m }；
Wherein, P fa,demand For load recovery requirements of blackout distribution areas, P mar Adjusting margins, S, for chained energy networks cint,m Is the chain energy coupling device capacity.
5. The method of claim 2, wherein constructing a multi-objective function based on minimization of regulation cost and maximization of load power recovery of blackout distribution substations comprises:
the multi-objective function O is constructed as follows:
P d,i ＝P load,ac,i +P ac,cint,i ；
wherein, alpha, beta and gamma are weight coefficients, P ac,cint,i 、P ess,i Respectively is the power of the alternating current side and the energy storage power of the direct current side of the ith power distribution station area chain type energy coupling device P fa Power cut distribution stationLoad power recovery amount of the zone.
6. The method according to any one of claims 1 to 5, wherein the set of chained energy grid operating constraints comprises: the system comprises a distribution transformer area distribution transformer constraint, a chain type energy coupling device constraint, an energy storage constraint and a chain type energy network power flow constraint.
7. The method according to any of claims 1-5, wherein the chain energy grid parameters comprise: the method comprises the following steps that distribution transformation parameters of a power distribution area of a chain type energy grid, parameters of a chain type energy coupling device and parameters of a low-voltage direct-current chain type line are obtained;
the AC/DC power information includes: the method comprises the steps of non-power-failure distribution area alternating current load, power-failure distribution area load recovery requirement and chain type energy network direct current side source load storage power.
8. A chained energy grid load transfer device, comprising:
the data acquisition unit is used for acquiring parameters of the chained energy network and AC/DC power information;
the first processing unit is used for obtaining a multi-target function based on the chain type energy network parameters and the alternating current and direct current power information;
the second processing unit is used for establishing a chain type energy network load transfer multi-target optimization control strategy model based on the multi-target function and the chain type energy network operation constraint set;
and the solving unit is used for solving the chain type energy network load transfer multi-target optimization control strategy model to obtain a chain type energy coupling device, an energy storage system power instruction and power failure distribution station load recovery power so as to realize chain type energy network load transfer.
9. The apparatus of claim 8, wherein the first processing unit is further configured to:
obtaining the adjustment margin of the chained energy network according to the parameters of the chained energy network and the AC/DC power information;
obtaining a load recovery power constraint boundary of the power outage distribution station area based on the load recovery requirement of the power outage distribution station area, the capacity of the chained energy coupling device and the adjustment margin of the chained energy grid;
and constructing to obtain a multi-objective function based on the minimum regulation and control cost and the maximum load power recovery amount of the power failure distribution station area.
10. The apparatus of claim 9, wherein obtaining a chain energy grid regulation margin according to the chain energy grid parameter and the ac/dc power information comprises:
performing boundary evaluation on load transfer of power failure distribution station area to obtain adjustment margin P of chain type energy network mar ：
P cload,dc,i ＝P load,dc,i -P pv,dc,i ；
Wherein S is d,i For distributing capacity, S, to node i ess,i Is the energy storage power capacity, P, of node i load,ac,i AC load, P, of non-blackout distribution block for node i pv,dc,i Is the photovoltaic power of node i; lambda [ alpha ] i Whether the node i has available energy storage or not is shown, and when the node i is not provided with energy storage or the energy storage SOC is lower than the lower boundary and can not discharge, the lambda is determined i 0, otherwise λ i ＝1；N d Is the total number of nodes and is a positive integer.
11. The apparatus of claim 9, wherein the deriving the blackout distribution substation load restoration power constraint boundary based on the blackout distribution substation load restoration requirements, the chained energy coupling device capacity, and the chained energy grid regulation margin comprises:
obtaining a load recovery power constraint boundary P of a power failure distribution station area by adopting the following formula fa,max ：
P fa,max ＝min{P fa,demand ,P mar ,S cint,m }；
Wherein, P fa,demand For load recovery requirements of blackout distribution areas, P mar Adjusting margins, S, for chained energy networks cint,m Is the chain energy coupling device capacity.
12. The apparatus of claim 9, wherein the constructing a multi-objective function based on the minimization of regulation cost and the maximization of load power recovery amount of the blackout distribution substation comprises:
the multi-objective function O is constructed as follows:
P d,i ＝P load,ac,i +P ac,cint,i ；
wherein, alpha, beta and gamma are weight coefficients, P ac,cint,i 、P ess,i Respectively is the power of the alternating current side and the energy storage power of the direct current side of the ith power distribution station area chain type energy coupling device P fa The load power recovery quantity of the power failure distribution station area is obtained.
13. The apparatus of any one of claims 8-12, wherein the set of chained energy grid operating constraints comprises: the system comprises a distribution transformer area distribution transformer constraint, a chain type energy coupling device constraint, an energy storage constraint and a chain type energy network power flow constraint.
14. The arrangement according to any of claims 8-12, wherein the chain energy grid parameters comprise: the method comprises the following steps that distribution transformation parameters of a power distribution area of a chain type energy grid, parameters of a chain type energy coupling device and parameters of a low-voltage direct-current chain type line are obtained;
the alternating current and direct current power information comprises: the method comprises the steps of non-power-failure distribution area alternating current load, power-failure distribution area load recovery requirement and chain type energy network direct current side source load storage power.
15. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1 to 7.
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