Chain energy network load transfer method and device

Abstract

A chain energy network load transfer method and device, the method comprising: obtaining chain energy network parameters and AC / DC power information; based on the chain energy network parameters and AC / DC power information, obtaining a multi-objective function; based on the multi-objective function and a set of chain energy network operation constraints, establishing a chain energy network load transfer multi-objective optimization control strategy model; solving the chain energy network load transfer multi-objective optimization control strategy model to obtain chain energy coupling device, energy storage system power instructions, and power for load recovery in a power outage distribution area, to realize chain energy network load transfer. Through the method and device provided in the embodiment of the application, power emergency support for the power outage distribution area can be efficiently realized, which is conducive to improving the power supply reliability and risk resistance of the distribution area.

Description

Technical Field

[0001] This invention relates to the field of chain energy grid technology, and more specifically, to a chain energy grid load transfer method, apparatus, and computer storage medium. Background Technology

[0002] Mountainous areas and coastal areas have many long and narrow branch lines. These long and narrow branch lines are mostly supplied by a single power source. Once a line fails or is under maintenance, it will cause a power outage in the relevant distribution substation, which will seriously affect the power supply reliability of the distribution substation. Therefore, it is urgent to solve the problem of improving the power supply reliability of the substations under the long and narrow branch lines.

[0003] With the mature development of semiconductor devices and power electronic control technologies, low-voltage DC chain energy networks have broad application prospects. Through the chain interconnection of multiple distribution areas under narrow branches, normal distribution areas can provide emergency power and energy support to distribution areas experiencing power outages via low-voltage DC chain channels, thus helping to improve the power supply reliability of distribution areas under narrow branches. However, there is currently little research on emergency load transfer of distribution areas based on chain energy networks, especially lacking comprehensive optimization of the technical and economic aspects of chain energy networks in emergency power supply applications in distribution areas, as well as consideration of the diversified operational constraints of chain energy networks. Summary of the Invention

[0004] In view of this, the present invention proposes a method, device and computer storage medium for load transfer in a chain-type energy network, aiming to solve the problem of low power supply reliability in the subordinate transformer areas of existing narrow and long distributed branches.

[0005] In a first aspect, the present invention proposes a method for load transfer in a chain-type energy network. The method includes: acquiring chain-type energy network parameters and AC / DC power information; obtaining a multi-objective function based on the chain-type energy network parameters and the AC / DC power information; establishing a multi-objective optimization control strategy model for load transfer in the chain-type energy network based on the multi-objective function and the chain-type energy network operating constraint set; and solving the multi-objective optimization control strategy model for load transfer in the chain-type energy network to obtain the power commands of the chain-type energy coupling device, the energy storage system, and the load recovery power of the power outage distribution substation, so as to realize the load transfer of the chain-type energy network.

[0006] Furthermore, the step of obtaining a multi-objective function based on the chain energy network parameters and the AC / DC power information includes: obtaining the chain energy network regulation margin according to the chain energy network parameters and the AC / DC power information; obtaining the load restoration power constraint boundary of the power outage distribution substation based on the load restoration demand of the power outage distribution substation, the capacity of the chain energy coupling device, and the chain energy network regulation margin; and constructing a multi-objective function based on minimizing the control cost and maximizing the load power restoration amount of the power outage distribution substation.

[0007] Furthermore, obtaining the regulation margin of the chain energy network based on the chain energy network parameters and the AC / DC power information includes: performing a boundary assessment of the load transfer in the power outage distribution area to obtain the regulation margin of the chain energy network. P mar :

[0008]

[0009] in, S d,i For the first i Distribution transformer capacity of the distribution station area S ess,i For the first i DC-side energy storage capacity of the distribution substation area P load,ac,i For the first i AC load of the non-power-outage distribution transformer area. P pv,dc,i For the first i DC-side photovoltaic power of the distribution station area; λ i Indicates the first i Is there available energy storage on the DC side of the distribution substation area when the first i If the distribution area does not have energy storage or the energy storage SOC is below the lower boundary and cannot discharge, then λ i =0, otherwise λ i =1; N d This represents the total number of distribution radio zones, and is a positive integer. m Indicates the first m The power distribution area is a power outage power distribution area.

[0010] Furthermore, obtaining the load restoration power constraint boundary of the power outage distribution substation based on the load restoration demand of the power outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy grid includes: obtaining the load restoration power constraint boundary of the power outage distribution substation using the following formula. P fa,max :

[0011] ;

[0012] in, P fa,demand For power outage distribution area m The load restoration requirement P mar To provide a regulatory margin for the chain energy network, S cint,m For power outage distribution area m The capacity of the chain-type energy coupling device.

[0013] Furthermore, based on minimizing control costs and maximizing the load power recovery of the outage distribution substation, a multi-objective function is constructed, including: The multi-objective function is constructed as follows:

[0014]

[0015] in, These are the weighting coefficients. P ac,cint,i , P ess,i The first i Distribution station area chain energy coupling device AC side power, DC side energy storage power P fa It is a power outage distribution area m The amount of load power recovery, P o,d,i For the first i Distribution transformer no-load loss in distribution area P sc,d,i For the first i Distribution station area distribution transformer short-circuit loss, P load,ac,i For the first i AC load of the distribution radio area.

[0016] Furthermore, the set of operational constraints for the chain-type energy network includes: distribution transformer area constraints, chain-type energy coupling device constraints, energy storage constraints, and chain-type energy network power flow constraints.

[0017] Furthermore, the parameters of the chain energy network include: distribution transformer parameters of the chain energy network distribution substation, parameters of the chain energy coupling device, and parameters of the low-voltage DC chain line; the AC / DC power information includes: AC load of the non-outage distribution substation, load restoration demand of the outage distribution substation, and DC-side source-load storage power of the chain energy network.

[0018] Secondly, embodiments of the present invention also provide a chain-type energy network load transfer device, the device comprising: a data acquisition unit for acquiring chain-type energy network parameters and AC / DC power information; a first processing unit for obtaining a multi-objective function based on the chain-type energy network parameters and the AC / DC power information; a second processing unit for establishing a multi-objective optimization control strategy model for chain-type energy network load transfer based on the multi-objective function and the chain-type energy network operating constraint set; and a solution unit for solving the multi-objective optimization control strategy model for chain-type energy network load transfer to obtain power commands for the chain-type energy coupling device and energy storage system, as well as the load recovery power of the power outage distribution substation, so as to realize the chain-type energy network load transfer.

[0019] Furthermore, the first processing unit is also configured to: obtain the regulation margin of the chain energy network based on the chain energy network parameters and the AC / DC power information; obtain the load restoration power constraint boundary of the power outage distribution substation based on the load restoration demand of the power outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy network; and construct a multi-objective function based on minimizing the control cost and maximizing the load power restoration amount of the power outage distribution substation.

[0020] Furthermore, obtaining the regulation margin of the chain energy network based on the chain energy network parameters and the AC / DC power information includes: performing a boundary assessment of the load transfer in the power outage distribution area to obtain the regulation margin of the chain energy network. P mar :

[0021]

[0022] in, S d,i For the first i Distribution transformer capacity of the distribution station area S ess,i For the first i DC-side energy storage capacity of the distribution substation area P load,ac,i For the first i AC load of the non-power-outage distribution transformer area. P pv,dc,i For the first i DC-side photovoltaic power of the distribution station area; λ i Indicates the first i Is there available energy storage on the DC side of the distribution substation area when the first i If the distribution area does not have energy storage or the energy storage SOC is below the lower boundary and cannot discharge, then λ i =0, otherwise λ i =1; N d This represents the total number of distribution radio zones, and is a positive integer. m Indicates the first m The power distribution area is a power outage power distribution area.

[0023] Furthermore, obtaining the load restoration power constraint boundary of the power outage distribution substation based on the load restoration demand of the power outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy grid includes: obtaining the load restoration power constraint boundary of the power outage distribution substation using the following formula. P fa,max :

[0024] ;

[0025] in, P fa,demand For power outage distribution area m The load restoration requirement P mar To provide a regulatory margin for the chain energy network, S cint,m For power outage distribution area m The capacity of the chain-type energy coupling device.

[0026] Furthermore, based on minimizing control costs and maximizing the load power recovery of the outage distribution substation, a multi-objective function is constructed, including: The multi-objective function is constructed as follows:

[0027]

[0028] in, These are the weighting coefficients. P ac,cint,i , P ess,i The first i Distribution station area chain energy coupling device AC side power, DC side energy storage power P fa It is a power outage distribution area m The amount of load power recovery, P o,d,i For the first i Distribution transformer no-load loss in distribution area P sc,d,i For the first i Distribution station area distribution transformer short-circuit loss, P load,ac,i For the first i AC load of the distribution radio area.

[0029] Furthermore, the set of operational constraints for the chain-type energy network includes: distribution transformer area constraints, chain-type energy coupling device constraints, energy storage constraints, and chain-type energy network power flow constraints.

[0030] Furthermore, the parameters of the chain energy network include: distribution transformer parameters of the chain energy network distribution substation, parameters of the chain energy coupling device, and parameters of the low-voltage DC chain line; the AC / DC power information includes: AC load of the non-outage distribution substation, load restoration demand of the outage distribution substation, and DC-side source-load storage power of the chain energy network.

[0031] Thirdly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the methods provided in the above embodiments.

[0032] The chain-type energy network load transfer method, device, and computer storage medium provided in this invention, based on the chain-type energy network parameters and AC / DC power information, obtain a multi-objective function and consider the chain-type energy network operation constraint set to establish a multi-objective optimization control strategy model for chain-type energy network load transfer. Solving this model yields the power commands for the chain-type energy coupling device and energy storage system, as well as the load recovery power for the power outage distribution substation, thereby realizing the chain-type energy network load transfer, meeting the emergency power supply needs of the power outage distribution substation, efficiently achieving emergency power support for the power outage distribution substation, and improving the power supply reliability and risk resistance of the distribution substation. Attached Figure Description

[0033] Figure 1 An exemplary flowchart of a chain-type energy grid load transfer method according to an embodiment of the present invention is shown;

[0034] Figure 2 A schematic diagram of a low-voltage DC chain energy grid according to an embodiment of the present invention is shown.

[0035] Figure 3 A schematic diagram of a chain-type energy grid load transfer device according to an embodiment of the present invention is shown. Detailed Implementation

[0036] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0037] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0038] Figure 1 An exemplary flowchart of a chain-type energy grid load transfer method according to an embodiment of the present invention is shown.

[0039] like Figure 1 As shown, the method includes:

[0040] Step S101: Obtain the parameters and AC / DC power information of the chain energy network.

[0041] Furthermore, the parameters of the chain energy network include: the parameters of the distribution transformers in the distribution substation of the chain energy network, the parameters of the chain energy coupling device, and the parameters of the low-voltage DC chain line;

[0042] AC and DC power information includes: AC load in non-outage distribution substations, load restoration demand in outage distribution substations, and DC-side source-load storage power of the chain energy network.

[0043] For the parameters of the chain energy network:

[0044] The parameters of the distribution transformers in the chain-type energy network distribution area include: transformer capacity. ,in, This refers to the total number of distribution transformer substations; and the no-load loss of distribution transformers. Distribution transformer short-circuit loss ; and the serial number of the power distribution substation during the power outage. m .

[0045] Parameters of the chain-type energy coupling device include: capacity ; and AC / DC conversion efficiency .

[0046] Low-voltage DC chain line parameters, including: nodes i Self-admittance ;node i With nodes k Inter-inductance Minimum node voltage ; and the maximum node voltage .

[0047] Regarding AC / DC power information:

[0048] AC loads in non-outage distribution transformer areas include: ,in .

[0049] The load restoration requirements for the power outage distribution area include: .

[0050] The DC-side source-load-storage power of the chain energy network includes: photovoltaic power at each node. Energy storage capacity at each node Energy storage capacity Energy storage SOC value Energy storage charging and discharging efficiency Energy storage SOC constraint lower boundary Energy storage SOC constraints change boundary ; and DC load .

[0051] Step S102: Based on the parameters of the chain energy network and AC / DC power information, obtain the multi-objective function.

[0052] Further, step S102 includes:

[0053] Based on the parameters of the chain energy network and AC / DC power information, the regulation margin of the chain energy network is obtained;

[0054] Based on the load restoration requirements of the power outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy network, the power constraint boundary for load restoration of the power outage distribution substation is obtained.

[0055] A multi-objective function is constructed based on minimizing control costs and maximizing the load power recovery of the power outage distribution area.

[0056] Figure 2 A schematic diagram of a low-voltage DC chain-type energy grid power flow is shown according to an embodiment of the present invention. Figure 2 As shown, based on the parameters of the chain energy network and AC / DC power information, a boundary assessment is performed on the load transfer of the power outage distribution area. Then, a multi-objective function is constructed to minimize the control cost and maximize the load recovery of the power outage distribution area.

[0057] Furthermore, based on the parameters of the chain energy network and AC / DC power information, the regulation margin of the chain energy network is obtained, including:

[0058] A boundary assessment of load transfer in the power outage distribution area is conducted to obtain the regulation margin of the chain energy network. P mar :

[0059]

[0060] in, S d,i For the first i Distribution transformer capacity of the distribution station area S ess,i For the first i DC-side energy storage capacity of the distribution substation area P load,ac,i For the first i AC load of the non-power-outage distribution transformer area. P pv,dc,i For the first i DC-side photovoltaic power of the distribution station area; λ i Indicates the first i Is there available energy storage on the DC side of the distribution substation area when the first i If the distribution area does not have energy storage or the energy storage SOC is below the lower boundary and cannot discharge, then λ i =0, otherwise λ i =1; N d This represents the total number of distribution radio zones, and is a positive integer. m Indicates the first m The power distribution area is a power outage power distribution area.

[0061] Furthermore, based on the load restoration requirements of the power outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy network, the power constraint boundary for load restoration of the power outage distribution substation is obtained, including:

[0062] The following formula is used to obtain the power constraint boundary for load restoration in the outage distribution substation area. P fa,max :

[0063] ;

[0064] in, P fa,demand For power outage distribution area m The load restoration requirement P mar To provide a regulatory margin for the chain energy network, S cint,m For power outage distribution area m The capacity of the chain-type energy coupling device.

[0065] Furthermore, based on minimizing control costs and maximizing the load power recovery of the outage distribution substation, a multi-objective function is constructed, including:

[0066] The multi-objective function is constructed as follows:

[0067]

[0068] in, These are the weighting coefficients. P ac,cint,i , P ess,i The first i Distribution station area chain energy coupling device AC side power, DC side energy storage power P fa It is a power outage distribution area m The amount of load power recovery, P o,d,i For the first i Distribution transformer no-load loss in distribution area P sc,d,i For the first i Distribution station area distribution transformer short-circuit loss, P load,ac,i For the first i AC load of the distribution radio area.

[0069] By constructing a multi-objective function based on minimizing control costs and maximizing load recovery in the power outage distribution area, the overall reliability of the power outage distribution area is improved.

[0070] The above embodiments combine the regulation resources of each distribution substation in the chain energy network with the load demand of the outage substation to quantitatively evaluate the load transfer boundary of the outage distribution substation, thereby determining the load recovery power constraint boundary of the outage distribution substation and improving the efficiency of subsequent optimization control modeling and solution.

[0071] Step S103: Based on the multi-objective function and the set of operating constraints of the chain energy network, establish a multi-objective optimization control strategy model for load transfer of the chain energy network.

[0072] Figure 2 A schematic diagram of a low-voltage DC chain-type energy grid power flow is shown according to an embodiment of the present invention. Figure 2 As shown, based on the multi-objective function, and further considering the set of operational constraints of the chain energy network, a multi-objective optimization control strategy model for load transfer of the chain energy network is established.

[0073] Furthermore, the set of operational constraints for the chain-type energy network includes: distribution transformer area constraints, chain-type energy coupling device constraints, energy storage constraints, and chain-type energy network power flow constraints.

[0074] The transformer constraints in the distribution transformer area are as follows:

[0075] .

[0076] The constraints of the chain-type energy coupling device are as follows:

[0077] .

[0078] Energy storage constraints are as follows:

[0079]

[0080] Where, Δ T It is a regulatory cycle.

[0081] The power flow constraints of the chain energy network are as follows:

[0082]

[0083] in, Indicates the power direction, all are 0-1 variables, when power is injected from the distribution station area into the chain energy coupling device. hour, When power is discharged from the chain-type energy coupling device to the distribution area, that is... hour, When the chain-type energy coupling device has no power interaction with the distribution station area, that is... hour, . Represents a node i Voltage.

[0084] Step S104: Solve the multi-objective optimization control strategy model for load transfer in the chain energy network to obtain the power commands of the chain energy coupling device, the energy storage system, and the load recovery power of the power outage distribution area, so as to realize the load transfer of the chain energy network.

[0085] By solving the multi-objective optimization control strategy model for load transfer in a chain energy network, the power command of the chain energy coupling device is obtained. Energy storage system power command and the power restoration of the distribution transformer area after the power outage This enables the transfer of load from the chain-type energy grid to meet the emergency power supply needs of the power outage distribution area.

[0086] In summary, the chain-type energy grid load transfer method provided by the various embodiments of the present invention has the following advantages:

[0087] 1) Achieve load transfer boundary assessment for power outage distribution substations. By combining the regulation resources of each distribution substation in the chain energy network with the load demand of the power outage substation, the load transfer boundary of the power outage distribution substation is quantitatively assessed, thereby determining the load recovery power constraint boundary of the power outage distribution substation and improving the efficiency of subsequent optimization control modeling and solution.

[0088] 2) Improve the utilization level of different regulation resources in the chain energy network. Consider the regulation capacity of distribution transformers in non-outage areas and the energy storage resources of different nodes on the DC side of the chain energy network, and assign weights to them in the objective function of the control model. Prioritize the use of distribution transformer regulation capacity to obtain power support from the grid. When the regulation margin of distribution transformers is insufficient or the chain energy coupling device reaches the constraint boundary, start energy storage regulation to improve the sustainability of emergency power supply after load transfer.

[0089] 3) Achieve optimized load transfer for power outage distribution substations based on a chain-linked energy network. The proposed optimized control model minimizes transformer losses in non-outage substations, low-voltage DC operating losses in the chain-linked energy network, and energy storage regulation power, thereby maximizing the recovery of load in power outage distribution substations and improving the technical and economic efficiency of load transfer in the chain-linked energy network.

[0090] Figure 3 A schematic diagram of a chain-type energy grid load transfer device according to an embodiment of the present invention is shown.

[0091] like Figure 3 As shown, the device includes:

[0092] The data acquisition unit 301 is used to acquire parameters and AC / DC power information of the chain energy network.

[0093] Furthermore, the parameters of the chain energy network include: the parameters of the distribution transformers in the distribution substation of the chain energy network, the parameters of the chain energy coupling device, and the parameters of the low-voltage DC chain line;

[0094] AC and DC power information includes: AC load in non-outage distribution substations, load restoration demand in outage distribution substations, and DC-side source-load storage power of the chain energy network.

[0095] For the parameters of the chain energy network:

[0096] The parameters of the distribution transformers in the chain-type energy network distribution area include: transformer capacity. ,in, This refers to the total number of distribution transformer substations; and the no-load loss of distribution transformers. Distribution transformer short-circuit loss ; and the serial number of the power distribution substation during the power outage. m .

[0097] Parameters of the chain-type energy coupling device include: capacity ; and AC / DC conversion efficiency .

[0098] Low-voltage DC chain line parameters, including: nodes i Self-admittance ;node i With nodes k Inter-inductance Minimum node voltage ; and the maximum node voltage .

[0099] Regarding AC / DC power information:

[0100] AC loads in non-outage distribution transformer areas include: ,in .

[0101] The load restoration requirements for the power outage distribution area include: .

[0102] The DC-side source-load-storage power of the chain energy network includes: photovoltaic power at each node. Energy storage capacity at each node Energy storage capacity Energy storage SOC value Energy storage charging and discharging efficiency Energy storage SOC constraint lower boundary Energy storage SOC constraints change boundary ; and DC load .

[0103] The first processing unit 302 is used to obtain a multi-objective function based on the parameters of the chain energy network and AC / DC power information.

[0104] Furthermore, the first processing unit 302 is also used for:

[0105] Based on the parameters of the chain energy network and AC / DC power information, the regulation margin of the chain energy network is obtained;

[0106] Based on the load restoration requirements of the power outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy network, the power constraint boundary for load restoration of the power outage distribution substation is obtained.

[0107] A multi-objective function is constructed based on minimizing control costs and maximizing the load power recovery of the power outage distribution area.

[0108] Figure 2 A schematic diagram of a low-voltage DC chain-type energy grid power flow is shown according to an embodiment of the present invention. Figure 2 As shown, based on the parameters of the chain energy network and AC / DC power information, a boundary assessment is performed on the load transfer of the power outage distribution area. Then, a multi-objective function is constructed to minimize the control cost and maximize the load recovery of the power outage distribution area.

[0109] Furthermore, based on the parameters of the chain energy network and AC / DC power information, the regulation margin of the chain energy network is obtained, including:

[0110] A boundary assessment of load transfer in the power outage distribution area is conducted to obtain the regulation margin of the chain energy network. P mar :

[0111]

[0112] in, S d,i For the first i Distribution transformer capacity of the distribution station area S ess,i For the first i DC-side energy storage capacity of the distribution substation area P load,ac,i For the first i AC load of the non-power-outage distribution transformer area. P pv,dc,i For the first i DC-side photovoltaic power of the distribution station area; λ i Indicates the first i Is there available energy storage on the DC side of the distribution substation area when the first iIf the distribution area does not have energy storage or the energy storage SOC is below the lower boundary and cannot discharge, then λ i =0, otherwise λ i =1; N d This represents the total number of distribution radio zones, and is a positive integer. m Indicates the first m The power distribution area is a power outage power distribution area.

[0113] Furthermore, based on the load restoration requirements of the power outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy network, the power constraint boundary for load restoration of the power outage distribution substation is obtained, including:

[0114] The following formula is used to obtain the power constraint boundary for load restoration in the outage distribution substation area. P fa,max :

[0115] ;

[0116] in, P fa,demand For power outage distribution area m The load restoration requirement P mar To provide a regulatory margin for the chain energy network, S cint,m For power outage distribution area m The capacity of the chain-type energy coupling device.

[0117] Furthermore, based on minimizing control costs and maximizing the load power recovery of the outage distribution substation, a multi-objective function is constructed, including:

[0118] The multi-objective function is constructed as follows:

[0119]

[0120] in, These are the weighting coefficients. P ac,cint,i , P ess,i The first i Distribution station area chain energy coupling device AC side power, DC side energy storage power P fa It is a power outage distribution area m The amount of load power recovery, P o,d,i For the first i Distribution transformer no-load loss in distribution area P sc,d,i For the first i Distribution station area distribution transformer short-circuit loss,P load,ac,i For the first i AC load of the distribution radio area.

[0121] By constructing a multi-objective function based on minimizing control costs and maximizing load recovery in the power outage distribution area, the overall reliability of the power outage distribution area is improved.

[0122] The above embodiments combine the regulation resources of each distribution substation in the chain energy network with the load demand of the outage substation to quantitatively evaluate the load transfer boundary of the outage distribution substation, thereby determining the load recovery power constraint boundary of the outage distribution substation and improving the efficiency of subsequent optimization control modeling and solution.

[0123] The second processing unit 303 is used to establish a multi-objective optimization control strategy model for load transfer in the chain energy network based on a multi-objective function and a set of constraints for the operation of the chain energy network.

[0124] Figure 2 A schematic diagram of a low-voltage DC chain-type energy grid power flow is shown according to an embodiment of the present invention. Figure 2 As shown, based on the multi-objective function, and further considering the set of operational constraints of the chain energy network, a multi-objective optimization control strategy model for load transfer of the chain energy network is established.

[0125] Furthermore, the set of operational constraints for the chain-type energy network includes: distribution transformer area constraints, chain-type energy coupling device constraints, energy storage constraints, and chain-type energy network power flow constraints.

[0126] The transformer constraints in the distribution transformer area are as follows:

[0127] .

[0128] The constraints of the chain-type energy coupling device are as follows:

[0129] .

[0130] Energy storage constraints are as follows:

[0131]

[0132] Where, Δ T It is a regulatory cycle.

[0133] The power flow constraints of the chain energy network are as follows:

[0134]

[0135] in, Indicates the power direction, all are 0-1 variables, when power is injected from the distribution station area into the chain energy coupling device. hour, When power is discharged from the chain-type energy coupling device to the distribution area, that is... hour, When the chain-type energy coupling device has no power interaction with the distribution station area, that is... hour, . Represents a node i Voltage.

[0136] Solver 304 is used to solve the multi-objective optimization control strategy model for load transfer in the chain energy network, and obtain the power commands of the chain energy coupling device, the energy storage system and the load recovery power of the power outage distribution area, so as to realize the load transfer of the chain energy network.

[0137] By solving the multi-objective optimization control strategy model for load transfer in a chain energy network, the power command of the chain energy coupling device is obtained. Energy storage system power command and the power restoration of the distribution transformer area after the power outage This enables the transfer of load from the chain-type energy grid to meet the emergency power supply needs of the power outage distribution area.

[0138] In summary, the chain-type energy grid load transfer device provided in the various embodiments of the present invention has the following advantages:

[0139] 1) Achieve load transfer boundary assessment for power outage distribution substations. By combining the regulation resources of each distribution substation in the chain energy network with the load demand of the power outage substation, the load transfer boundary of the power outage distribution substation is quantitatively assessed, thereby determining the load recovery power constraint boundary of the power outage distribution substation and improving the efficiency of subsequent optimization control modeling and solution.

[0140] 2) Improve the utilization level of different regulation resources in the chain energy network. Consider the regulation capacity of distribution transformers in non-outage areas and the energy storage resources of different nodes on the DC side of the chain energy network, and assign weights to them in the objective function of the control model. Prioritize the use of distribution transformer regulation capacity to obtain power support from the grid. When the regulation margin of distribution transformers is insufficient or the chain energy coupling device reaches the constraint boundary, start energy storage regulation to improve the sustainability of emergency power supply after load transfer.

[0141] 3) Achieve optimized load transfer for power outage distribution substations based on a chain-linked energy network. The proposed optimized control model minimizes transformer losses in non-outage substations, low-voltage DC operating losses in the chain-linked energy network, and energy storage regulation power, thereby maximizing the recovery of load in power outage distribution substations and improving the technical and economic efficiency of load transfer in the chain-linked energy network.

[0142] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the chain-type energy grid load transfer method provided in the above embodiments.

[0143] The invention has been described with reference to a few embodiments. However, as will be known to those skilled in the art, and as defined in the appended claims, other embodiments besides those disclosed above fall equivalently within the scope of the invention.

[0144] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the art, unless otherwise expressly defined herein. All references to “a / the / the [device, component, etc.]” ​​are openly interpreted as at least one instance of said device, component, etc., unless otherwise expressly stated. The steps of any method disclosed herein need not be performed in the exact order disclosed unless explicitly stated otherwise.

[0145] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can 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, etc.) containing computer-usable program code.

[0146] This 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 block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can 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, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0147] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0148] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0149] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for load transfer in a chain-type energy grid, characterized in that, The method includes: Obtain parameters and AC / DC power information of the chain energy network; Based on the parameters of the chain energy network and the AC / DC power information, a multi-objective function is obtained; Based on the aforementioned multi-objective function and the set of constraints for the operation of the chain energy network, a multi-objective optimization control strategy model for load transfer in the chain energy network is established. Solve the multi-objective optimization control strategy model for load transfer in the chain energy network to obtain the power commands for the chain energy coupling device, the energy storage system, and the load recovery power of the power outage distribution area, so as to realize the load transfer of the chain energy network. The multi-objective function obtained based on the parameters of the chain energy network and the AC / DC power information includes: The regulation margin of the chain energy network is obtained based on the chain energy network parameters and the AC / DC power information; Based on the load restoration requirements of the power outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy network, the power constraint boundary for load restoration of the power outage distribution substation is obtained. Based on minimizing control costs and maximizing the load power recovery of the power outage distribution area, a multi-objective function is constructed. The step of obtaining the regulation margin of the chain energy network based on the chain energy network parameters and the AC / DC power information includes: A boundary assessment of load transfer in the power outage distribution area is conducted to obtain the regulation margin of the chain energy network. P mar : in, S d,i For the first i Distribution transformer capacity of the distribution station area S ess,i For the first i DC-side energy storage capacity of the distribution substation area P load,ac,i For the first i AC load of the non-power-outage distribution transformer area. P pv,dc,i For the first i DC-side photovoltaic power of the distribution station area; λ i Indicates the first i Is there available energy storage on the DC side of the distribution substation area when the first i If the distribution area does not have energy storage or the energy storage SOC is below the lower boundary and cannot discharge, then λ i =0, otherwise λ i =1; N d The total number of distribution radio zones, which is a positive integer; m Indicates the first m The power distribution area is a power outage power distribution area.

2. The method according to claim 1, characterized in that, The load restoration power constraint boundary of the power outage distribution substation is obtained based on the load restoration demand of the outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy network, including: The following formula is used to obtain the power constraint boundary for load restoration in the outage distribution substation area. P fa,max : ； in, P fa,demand For power outage distribution area m The load restoration requirement P mar To provide a regulatory margin for the chain energy network, S cint,m For power outage distribution area m The capacity of the chain-type energy coupling device.

3. The method according to claim 1, characterized in that, Based on minimizing control costs and maximizing the load power recovery of the outage distribution substation, a multi-objective function is constructed, including: The multi-objective function is constructed as follows: in, These are the weighting coefficients. P ac,cint,i , P ess,i The first i Distribution station area chain energy coupling device AC side power, DC side energy storage power P fa It is a power outage distribution area m The amount of load power recovery, P o,d,i For the first i Distribution transformer no-load loss in distribution area P sc,d,i For the first i Distribution station area distribution transformer short-circuit loss, P load,ac,i For the first i AC load of the distribution radio area.

4. The method according to any one of claims 1-3, characterized in that, The set of operational constraints for the chain-type energy network includes: distribution transformer area constraints, chain-type energy coupling device constraints, energy storage constraints, and chain-type energy network power flow constraints.

5. The method according to any one of claims 1-3, characterized in that, The parameters of the chain energy network include: parameters of the distribution transformer area of ​​the chain energy network, parameters of the chain energy coupling device, and parameters of the low-voltage DC chain line; The AC / DC power information includes: AC load in non-outage distribution substations, load restoration demand in outage distribution substations, and DC-side source-load storage power of the chain energy grid.

6. A chain-type energy grid load transfer device, characterized in that, The device includes: The data acquisition unit is used to acquire parameters and AC / DC power information of the chain energy network; The first processing unit is used to obtain a multi-objective function based on the parameters of the chain energy network and the AC / DC power information; The second processing unit is used to establish a multi-objective optimization control strategy model for load transfer of the chain energy network based on the multi-objective function and the set of operating constraints of the chain energy network. The solution unit is used to solve the multi-objective optimization control strategy model for load transfer of the chain energy network, and obtain the power commands of the chain energy coupling device, the energy storage system and the load recovery power of the power outage distribution area, so as to realize the load transfer of the chain energy network. The first processing unit is further configured to: The regulation margin of the chain energy network is obtained based on the chain energy network parameters and the AC / DC power information; Based on the load restoration requirements of the power outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy network, the power constraint boundary for load restoration of the power outage distribution substation is obtained. Based on minimizing control costs and maximizing the load power recovery of the power outage distribution area, a multi-objective function is constructed. The step of obtaining the regulation margin of the chain energy network based on the chain energy network parameters and the AC / DC power information includes: A boundary assessment of load transfer in the power outage distribution area is conducted to obtain the regulation margin of the chain energy network. P mar : in, S d,i For the first i Distribution transformer capacity of the distribution station area S ess,i For the first i DC-side energy storage capacity of the distribution substation area P load,ac,i For the first i AC load of the non-power-outage distribution transformer area. P pv,dc,i For the first i DC-side photovoltaic power of the distribution station area; λ i Indicates the first i Is there available energy storage on the DC side of the distribution substation area when the first i If the distribution area does not have energy storage or the energy storage SOC is below the lower boundary and cannot discharge, then λ i =0, otherwise λ i =1; N d The total number of distribution radio zones, which is a positive integer; m Indicates the first m The power distribution area is a power outage power distribution area.

7. The apparatus according to claim 6, characterized in that, The load restoration power constraint boundary of the power outage distribution substation is obtained based on the load restoration demand of the outage distribution substation, the capacity of the chain energy coupling device, and the regulation margin of the chain energy network, including: The following formula is used to obtain the power constraint boundary for load restoration in the outage distribution substation area. P fa,max : ； in, P fa,demand For power outage distribution area m The load restoration requirement P mar To provide a regulatory margin for the chain energy network, S cint,m For power outage distribution area m The capacity of the chain-type energy coupling device.

8. The apparatus according to claim 6, characterized in that, Based on minimizing control costs and maximizing the load power recovery of the outage distribution substation, a multi-objective function is constructed, including: The multi-objective function is constructed as follows: in, These are the weighting coefficients. P ac,cint,i , P ess,i The first i Distribution station area chain energy coupling device AC side power, DC side energy storage power P fa It is a power outage distribution area m The amount of load power recovery, P o,d,i For the first i Distribution transformer no-load loss in distribution area P sc,d,i For the first i Distribution station area distribution transformer short-circuit loss, P load,ac,i For the first i AC load of the distribution radio area.

9. The apparatus according to any one of claims 6-8, characterized in that, The set of operational constraints for the chain-type energy network includes: distribution transformer area constraints, chain-type energy coupling device constraints, energy storage constraints, and chain-type energy network power flow constraints.

10. The apparatus according to any one of claims 6-8, characterized in that, The parameters of the chain energy network include: parameters of the distribution transformer area of ​​the chain energy network, parameters of the chain energy coupling device, and parameters of the low-voltage DC chain line; The AC / DC power information includes: AC load in non-outage distribution substations, load restoration demand in outage distribution substations, and DC-side source-load storage power of the chain energy grid.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method described in any one of claims 1-5.

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