CN114709819A - SOP-considered active power distribution network fault recovery method and device - Google Patents

SOP-considered active power distribution network fault recovery method and device Download PDF

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CN114709819A
CN114709819A CN202210330636.7A CN202210330636A CN114709819A CN 114709819 A CN114709819 A CN 114709819A CN 202210330636 A CN202210330636 A CN 202210330636A CN 114709819 A CN114709819 A CN 114709819A
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sop
distribution network
power distribution
constraint
fault recovery
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叶学顺
刘科研
贾东梨
何开元
白牧可
康田园
李昭
王帅
周俊
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
State Grid Shandong Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
State Grid Shandong Electric Power Co Ltd
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    • H—ELECTRICITY
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
    • H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
    • 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
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    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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    • H—ELECTRICITY
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    • 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
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    • H—ELECTRICITY
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    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
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    • H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving

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Abstract

The invention relates to the technical field of power distribution network fault recovery, and particularly provides an SOP-considered active power distribution network fault recovery method and device, which comprise the following steps: determining the SOP transferring capacity based on the preset SOP transferring capacity constraint condition; substituting the SOP conversion energy into a pre-constructed active power distribution network fault recovery model, and solving the pre-constructed active power distribution network fault recovery model to obtain a power distribution network branch on-off regulation vector for fault recovery; the active power distribution network fault recovery model constructed in advance comprises the following steps: and configuring an objective function, a model optimization variable and a constraint condition for the pre-constructed active power distribution network fault recovery model. According to the technical scheme provided by the invention, the limitation of the transfer capacity of the SOP in the active power distribution network is considered, the power supply recovery of the power distribution network is realized, and the line loss generated in the fault recovery process is reduced.

Description

SOP-considered active power distribution network fault recovery method and device
Technical Field
The invention relates to the technical field of power distribution network fault recovery, in particular to an active power distribution network fault recovery method and device considering SOP.
Background
In order to meet the requirements of energy transformation and energy conservation and environmental protection, the wide-range access of a power grid to distributed renewable energy sources is a necessary trend. Due to the fact that renewable energy sources have time-varying property, after a large number of distributed power sources are connected to a power distribution network, power flowing in the system presents the characteristics of time-varying property and multi-directionality, power exchange is more frequent, and the problems that voltage and current are out of limit and the like can be caused to a certain extent, and therefore higher requirements are provided for the fault recovery capability of the power distribution network.
The SOP is a power electronic device arranged at the traditional interconnection switch, can accurately control active power and reactive power of feeders on two sides connected with the SOP, replaces part of traditional interconnection switches with the SOP in a power distribution network, and is beneficial to improving the consumption capacity of the power distribution network on distributed power sources, so that a series of new problems caused by large-scale access of the distributed power sources are solved. When a fault occurs, the SOP can effectively prevent fault current from passing through due to the action of direct current isolation; in the power supply recovery process, effective voltage support can be provided for the fault side, so that the power supply recovery range is expanded. At present, the research of the application of the SOP to the fault recovery of the power distribution network is still in a primary stage, one scheme in the prior art provides a recovery strategy for the fault of a passive power distribution network trunk line considering the SOP, and an interior point method is used for solving the fault, but the problem of the SOP transfer capacity is not considered, and only the reduction of the power loss load is taken as an optimization target; another scheme in the prior art also researches a fault recovery method for an active power distribution network containing an SOP, but does not analyze the fluctuation of distributed power sources and loads in detail.
Disclosure of Invention
In order to overcome the defects, the invention provides an active power distribution network fault recovery method and device considering SOP.
In a first aspect, an active power distribution network fault recovery method considering an SOP is provided, and the active power distribution network fault recovery method considering the SOP includes:
determining the SOP transferring capacity based on the preset SOP transferring capacity constraint condition;
substituting the SOP conversion energy into a pre-constructed active power distribution network fault recovery model, and solving the pre-constructed active power distribution network fault recovery model to obtain a power distribution network branch on-off regulation vector for fault recovery;
the pre-constructed fault recovery model of the active power distribution network comprises the following steps: and configuring an objective function, a model optimization variable and a constraint condition for the pre-constructed active power distribution network fault recovery model.
Preferably, before determining the SOP powering capability based on the preset SOP powering capability constraint condition, the method includes:
when both ends of the SOP are the subnets on the networking side, the control mode for controlling the normal side of the SOP is UdcA Q control mode, wherein the control mode of the fault side is a PQ control mode;
when one end of the SOP is a sub-network on the networking side and the other end is a sub-network on the disconnection side, the control mode of the normal side of the SOP is controlled to be UdcQ control mode, the control mode of fault side is VfAnd (4) controlling the mode.
Preferably, the determining the SOP transfer capability based on the preset SOP transfer capability constraint condition includes:
taking the maximum active power output by the SOP fault side when the power distribution network meets the constraint condition of the preset SOP transferring power as the SOP transferring power;
wherein the preset SOP conversion energy constraint condition comprises at least one of the following conditions: node voltage constraint, branch current constraint, power distribution network power flow constraint, active power balance constraint at two ends of the SOP, and capacity constraint at two ends of the SOP.
Further, the mathematical expression of the active power balance constraint at two ends of the SOP is as follows:
P1+P2＝0
the mathematical expression of the capacity constraint at both ends of the SOP is as follows:
Figure BDA0003572879130000021
in the above formula, P1、P2Active power input at the normal side of the SOP and active power output at the fault side, Q1、Q2Respectively the reactive power of both sides of the SOP, S1、S2Respectively the access capacity on both sides of the SOP.
Preferably, the objective function is calculated as follows:
Figure BDA0003572879130000022
in the above formula, f is the target value of the objective function, αkIs the weight coefficient of node k, PkIs the loss load of node k, N is the total number of loss load nodes except the island node, L is the total number of lines, PxIs the active loss on line x.
Further, when the node k is a primary load, αkWhen node k is a secondary load, α is 2kWhen node k is a three-level load, α is 1.5k＝1。
Further, the model optimization variables are power distribution network branch on-off regulation vectors for fault recovery, and mathematical expressions of the model optimization variables are as follows:
A＝{A1,A2,A3…An}
in the above formula, A is a branch on-off regulation vector of the power distribution network for fault recovery, and AnIs the switching state of branch n, An0 denotes open, An1 represents on.
Further, the constraint condition configured for the pre-constructed fault recovery model of the active power distribution network includes at least one of the following conditions: active power balance constraint at two ends of the SOP, capacity constraint at two ends of the SOP, SOP conversion power constraint, node voltage constraint, branch current constraint, power flow constraint of a power distribution network, radial power distribution network constraint and power constraint in an island.
Further, the SOP can be converted into a mathematical expression of power constraint as follows:
P2≤Pmax
in the above formula, PmaxFor the provision of SOP, P2The active power output by the SOP fault side.
In a second aspect, an active power distribution network fault recovery device considering SOP is provided, which includes:
the determining module is used for determining the SOP transfer capability based on the preset SOP transfer capability constraint condition;
the solving module is used for substituting the SOP conversion power into a pre-constructed active power distribution network fault recovery model, and solving the pre-constructed active power distribution network fault recovery model to obtain a power distribution network branch on-off regulation vector for fault recovery;
the active power distribution network fault recovery model constructed in advance comprises the following steps: and configuring an objective function, a model optimization variable and a constraint condition for the pre-constructed active power distribution network fault recovery model.
Preferably, the determining module is specifically configured to:
taking the maximum active power output by the SOP fault side when the power distribution network meets the constraint condition of the preset SOP transferring power as the SOP transferring power;
wherein the preset SOP conversion energy constraint condition comprises at least one of the following conditions: node voltage constraint, branch current constraint, power distribution network power flow constraint, active power balance constraint at two ends of the SOP, and capacity constraint at two ends of the SOP.
Preferably, the objective function is calculated as follows:
Figure BDA0003572879130000031
in the above formula, f is the target value of the objective function, αkIs the weight coefficient of node k, PkIs the loss load of node k, N is the total number of the loss load nodes except the island node, L is the total number of the lines, PxIs the active loss on line x.
Further, the model optimization variables are power distribution network branch on-off regulation vectors for fault recovery, and mathematical expressions of the model optimization variables are as follows:
A＝{A1,A2,A3…An}
in the above formula, A is a branch on-off regulation vector of the power distribution network for fault recovery, and AnIs the switching state of branch n, An0 denotes open, An1 represents on.
Further, the constraint condition configured for the pre-constructed fault recovery model of the active power distribution network includes at least one of the following conditions: active power balance constraint at two ends of the SOP, capacity constraint at two ends of the SOP, SOP conversion power constraint, node voltage constraint, branch current constraint, power flow constraint of the power distribution network, radial power distribution network constraint and power constraint in an island.
In a third aspect, a computer device is provided, comprising: one or more processors;
the processor to store one or more programs;
the one or more programs, when executed by the one or more processors, implement the SOP-aware active power distribution network fault recovery method.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed, implements the method for fault recovery of an active power distribution network taking account of SOPs.
One or more technical schemes of the invention at least have one or more of the following beneficial effects:
the invention provides an active power distribution network fault recovery method and device considering SOP, which comprises the following steps: determining the SOP transferring capacity based on the preset SOP transferring capacity constraint condition; substituting the SOP conversion energy into a pre-constructed active power distribution network fault recovery model, and solving the pre-constructed active power distribution network fault recovery model to obtain a power distribution network branch on-off regulation vector for fault recovery; the pre-constructed fault recovery model of the active power distribution network comprises the following steps: and configuring an objective function, a model optimization variable and a constraint condition for the pre-constructed active power distribution network fault recovery model. The invention utilizes the SOP to formulate a corresponding fault recovery scheme, considers the limitation of the transfer capacity of the SOP in the active power distribution network, improves the power supply recovery capacity of the power distribution network, and reduces the line loss generated in the fault recovery process. Compared with various recovery strategies, the effectiveness and the flexibility of the provided fault recovery scheme are reflected.
Drawings
Fig. 1 is a schematic flow chart illustrating main steps of a fault recovery method for an active power distribution network considering SOP according to an embodiment of the present invention;
FIG. 2 is a SOP-inclusive IEEE33 node system topology according to an embodiment of the present invention;
fig. 3 is a main structural block diagram of an active power distribution network fault recovery device taking account of SOP according to an embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating main steps of a fault recovery method for an active power distribution network considering SOP according to an embodiment of the present invention. As shown in fig. 1, the method for recovering from a fault of an active power distribution network based on SOP in the embodiment of the present invention mainly includes the following steps:
step S101: determining the SOP transferring capacity based on the preset SOP transferring capacity constraint condition;
step S102: substituting the SOP conversion energy into a pre-constructed active power distribution network fault recovery model, and solving the pre-constructed active power distribution network fault recovery model to obtain a power distribution network branch on-off regulation vector for fault recovery;
the pre-constructed fault recovery model of the active power distribution network comprises the following steps: and configuring an objective function, a model optimization variable and a constraint condition for the pre-constructed active power distribution network fault recovery model.
In this embodiment, before determining the SOP powering force based on the preset SOP powering force constraint condition, the method includes:
when both ends of the SOP are the networking side subnets, the SOP is controlled to be positiveThe normal side control mode is UdcThe control mode of the fault side is a PQ control mode so as to realize real-time and accurate adjustment of power flow between the connected feeders;
when one end of the SOP is a sub-network on the networking side and the other end is a sub-network on the disconnection side, the control mode of the normal side of the SOP is controlled to be UdcQ control mode, the control mode of fault side is VfAnd a control mode for providing voltage and frequency support for the offline side sub-network. The SOP is now equivalent to the power supply of the off-line side subnet.
In this embodiment, the determining the SOP transfer capability based on the preset SOP transfer capability constraint condition includes:
taking the maximum active power output by the SOP fault side when the power distribution network meets the constraint condition of the preset SOP transferring power as the SOP transferring power;
wherein the preset SOP conversion energy constraint condition comprises at least one of the following conditions: node voltage constraint, branch current constraint, power distribution network power flow constraint, active power balance constraint at two ends of the SOP, and capacity constraint at two ends of the SOP.
Specifically, node voltage constraints are:
Vi.min≤Vi≤Vi.max
and (3) branch current constraint:
Figure BDA0003572879130000052
in the formula, ViIs the I node voltage, IjiThe branch current flowing to node i for node j.
Power flow constraint of the power distribution network:
Figure BDA0003572879130000051
Figure BDA0003572879130000061
Figure BDA0003572879130000062
node v is the node directly connected to the SOP fault side outlet, wherevSet of branch end nodes, φ, for node v as head-endvA set of branch head nodes with node v as the end; pjv、QjvActive and reactive power, R, respectively, transmitted to node v for node jjv、XjvResistance and reactance, P, respectively, on branch jvv、QvRespectively the active power and the reactive power which flow into the node v except the branch vj; zvjIs the branch impedance, SvjIs a branch vjHead end capacity.
Figure BDA0003572879130000063
In the formula, Pv，SOP、Qv，SOPActive and reactive power, P, respectively, provided to node v for SOPv，DG、Qv，DGActive power and reactive power respectively transmitted to the node v by the optical storage system connected with the node vv，LOAD、Qv，LOADRespectively the active power and the reactive power consumed by the load on node v.
The mathematical expression of the active power balance constraint at two ends of the SOP is as follows:
P1+P2＝0
the mathematical expression of the capacity constraint at both ends of the SOP is as follows:
Figure BDA0003572879130000064
in the above formula, P1、P2Active power input at the normal side of the SOP and active power output at the fault side, Q1、Q2Respectively the reactive power of both sides of the SOP, S1、S2Respectively the access capacity on both sides of the SOP.
In this embodiment, the objective function is calculated as follows:
Figure BDA0003572879130000065
in the above formula, f is the target value of the objective function, αkIs the weight coefficient of node k, PkIs the loss load of node k, N is the total number of loss load nodes except the island node, L is the total number of lines, PxIs the active loss on line x.
Wherein, when the node k is a primary load, αkWhen node k is a secondary load, α is 2kWhen node k is a three-level load, α is 1.5k＝1。
In one embodiment, the model optimization variables are power distribution network branch on-off regulation vectors for fault recovery, and the mathematical expression of the model optimization variables is as follows:
A＝{A1,A2,A3…An}
in the above formula, A is a power distribution network branch on-off regulation vector for fault recovery, and AnIs the switching state of branch n, An0 denotes open, An1 represents on.
The constraint condition configured for the pre-constructed fault recovery model of the active power distribution network comprises at least one of the following conditions: active power balance constraint at two ends of the SOP, capacity constraint at two ends of the SOP, SOP conversion power constraint, node voltage constraint, branch current constraint, power flow constraint of the power distribution network, radial power distribution network constraint and power constraint in an island.
Specifically, active power balance constraint at two ends of the SOP, capacity constraint at two ends of the SOP, SOP transfer power constraint, node voltage constraint, branch current constraint, and distribution network power flow constraint are the same as preset SOP transfer power constraint conditions, and besides, a mathematical expression of the SOP transfer power constraint is as follows:
P2≤Pmax
in the above formula, PmaxFor the provision of SOP, P2Is a SOPActive power output by the fault side.
Radial distribution network restraint:
g∈G
power constraint in an island:
Figure BDA0003572879130000071
in the formula, G is a reconstructed network topological structure, and G is a radial network topological structure set; peq,TThe total output of the optical storage system in the island in a time period T, b is a node in the island, D is a node set in the island, and P isbThe load of each node in the island in the time period T is large.
In one embodiment, in step S102, because the main network power supply capacity is limited and the SOP conversion capacity is limited, and a node at a longer distance cannot guarantee power restoration, it is necessary to take into account the time-varying property of the distributed power supply and the load, and perform islanding on the part of nodes with the optical storage system according to the occurrence time and duration of the power distribution network fault.
Furthermore, a main network line needs to be reconstructed to realize fault recovery, time-varying property of a distributed power supply and load is taken into consideration, a binary particle swarm algorithm is adopted according to the fault occurrence time and duration of the power distribution network, and the main network reconstruction scheme is optimized and solved, and the method comprises the following steps:
1. determining the fault occurrence time and the recovery time, and further determining the power supply quantity and the load power consumption demand quantity of the optical storage system in the main network;
2. solving a reconstruction network by adopting a binary particle swarm algorithm, setting the number of particles, the iteration times and the population dimension, and initializing the particle speed and the particle initial speed;
in the binary particle swarm algorithm, the velocity vector iterative formula of the particles is the same as the particle swarm algorithm, and the position vectors are determined by adopting a Sigmoid function and a segmented comparison method.
Sigmoid function:
Figure BDA0003572879130000081
and (3) segment comparison:
Figure BDA0003572879130000082
the velocity vector iteration process is still:
Figure BDA0003572879130000083
in the formula (I), the compound is shown in the specification,
Figure BDA0003572879130000084
the position of the t +1 th generation of the ith particle,
Figure BDA0003572879130000085
is the speed of the ith particle generation t +1, rand is a random number whose value is [0, 1 ]]And omega is the inertia coefficient of the particle and is 0.6, c1And c2For the particle learning coefficient, take 2.0,
Figure BDA0003572879130000086
Figure BDA0003572879130000087
respectively an individual optimal solution and a global optimal solution in the current iteration process.
3. And (4) searching an optimal topological structure for fault recovery by taking the switching state of the sub-network line at the loss-of-connection side of the power distribution network as an optimization variable, and solving an objective function value. Checking whether the node voltage exceeds the lower limit or not, and if the node voltage exceeds the lower limit, continuously reducing the main network load on the basis; if the node voltage exceeds the upper limit or does not meet the SOP operation constraint, abandoning the topology scheme and searching again on the premise of the current outlet voltage;
4. and (4) performing multiple iterations on the particle swarm, and outputting an optimal solution and a corresponding objective function value after the iteration times are reached.
5. And combining the island division scheme with the main network reconstruction scheme to form a fault recovery scheme corresponding to the specific fault occurrence time and the recovery time.
The invention relates to an active power distribution network fault recovery strategy containing an SOP (service over Power), which considers the limitation of the transfer capacity of the SOP in an active power distribution network, improves the power supply recovery capacity of the power distribution network, and reduces the line loss generated in the fault recovery process. Compared with various recovery strategies, the effectiveness and the flexibility of the provided fault recovery scheme are reflected.
In a preferred embodiment, as shown in fig. 2, taking IEEE-33 node as an example, the total line load is (3715+ j2300) kVA, SOP is installed in the tie switches 24-28, VSC capacity at both ends of the SOP is 1550kVA, nodes 14, 19, 26, 29 are equipped with optical storage system, and the fault occurs at 11: 00-12: 00 hours, verifying the recovery conditions of 1 hour and 2 hours of fault duration, and solving by using the scheme of the invention:
firstly, determining control modes of the SOP under different operating conditions, wherein the criteria are as follows:
(1) both ends of the SOP are sub-networks on the networking side
The area of losing the electricity promptly can be through interconnection switch and higher level power direct connection, keeps apart the trouble through the circuit breaker rapidly, then closed interconnection switch can, the SOP normal side keeps UdcAnd the Q control mode and the fault side are set as the PQ control mode so as to realize real-time accurate adjustment of power flow between the connected feeders.
(2) One end of the SOP is a network side sub-network, and the other end is an unconnection side sub-network
That is, the power-off area can not be directly connected with the superior power supply through the interconnection switch, the SOP is adopted to replace the traditional interconnection switch, and the SOP normal side keeps UdcQ control mode SOP Fault side control mode set to VfAnd a control mode for providing voltage and frequency support for the offline side sub-network. The SOP is now equivalent to the power supply of the off-line side subnet.
The control mode specification of the SOP under different operating conditions is shown in table 1.
TABLE 1
Figure BDA0003572879130000091
If a fault occurs in branch 19-20, branch 2-3, then the SOP control mode is set to: fault side VfControl mode, normal side UdcAnd (3) controlling the mode by Q.
And secondly, calculating the transfer capacity of the SOP in the active power distribution network, wherein the VSC capacity at both ends of the SOP is 1550 kVA.
And solving the transfer capacity based on the step S101.
Thirdly, establishing a fault recovery model of the active power distribution network, comprising the following steps of:
1. establishing a fault recovery model of the active power distribution network:
the fault recovery model objective function includes:
the power loss load of the power distribution network is minimum:
Figure BDA0003572879130000092
in the formula, alphakThe load is divided into a first-level load, a second-level load and a third-level load as a load weight coefficient, wherein the first-level load weight coefficient is 2.0, the second-level load is 1.5, the third-level load is 1.0, and P iskThe load loss amount of the node k is shown, and N is the total load loss amount.
Line loss is minimal:
Figure BDA0003572879130000093
in the formula, PxIs the active loss on line x and L is the total number of lines.
And converting the multi-objective function into a single objective function so as to simplify the calculation process. And taking more guaranteed loads to recover power supply as a main target, reducing the network loss as a secondary target, and giving weights to the two target functions, wherein the comprehensive target function is as follows:
Figure BDA0003572879130000101
the model optimization variable is the on-off state of the branch of the power distribution network, and is specifically represented as follows:
A＝{A1,A2,A3…An}
in the formula, A is a branch on-off matrix and represents the on-off state of each branch of the whole power distribution network. A. thenIs the switching state of the branch numbered n, An0 denotes open, An1 represents on.
2. The fault recovery model constraints include: active power balance constraint at two ends of the SOP, capacity constraint at two ends of the SOP, SOP conversion power constraint, node voltage constraint, branch current constraint, power flow constraint of a power distribution network, radial power distribution network constraint and power constraint in an island.
Specifically, active power balance constraint at two ends of the SOP, capacity constraint at two ends of the SOP, SOP to power supply constraint, node voltage constraint, branch current constraint, power distribution network power flow constraint are the same as the preset SOP to power supply constraint conditions, and besides, the mathematical expression of the SOP to power supply constraint is as follows:
P2≤Pmax
in the above formula, PmaxFor the provision of SOP, P2The active power output by the SOP fault side.
Radial distribution network restraint:
g∈G
power constraint in an island:
Figure BDA0003572879130000102
in the formula, G is a reconstructed network topological structure, and G is a radial network topological structure set; peq,TThe total output of the optical storage system in the island in a time period T, b is a node in the island, D is a node set in the island, and P isbThe load of each node in the island in the time period T is large.
Fourthly, considering the time-varying property of the distributed power supply and the load, providing an island division scheme according to the fault occurrence time and the duration of the power distribution network, carrying out optimization solution on a main network reconstruction scheme by adopting a binary particle swarm algorithm based on a fault recovery model, and obtaining a fault recovery scheme corresponding to the specific fault occurrence time and the specific fault recovery time by combining the island division scheme and the main network reconstruction scheme, wherein the method comprises the following specific steps:
1. and (3) load prediction:
taking into account the time-varying nature of the load, the load will exhibit different load levels at different times of the day. Therefore, the invention predicts the load of each node of the power distribution network in the future. Table 2 shows the daily load requirements of the nodes of different levels.
TABLE 2
Figure BDA0003572879130000111
After a fault occurs, determining a fault occurrence time period and fault recovery time, predicting the output of the distributed power supply, further determining the actual power supply quantity of the optical storage system in the recovery time and the power supply quantity demand of the load, and carrying out island division according to the actual power supply quantity and the load power supply quantity demand.
2. Island division is carried out by considering output fluctuation and load time-varying of distributed power supply
Before the island division, a fault occurrence time period and fault recovery time are determined, the output of the distributed power supply is predicted, and then the actual power supply quantity of the optical storage system in the recovery time and the power supply quantity demand of the load are determined.
Because the capacity of the optical storage system of the node 26 and the node 29 is small and is not enough to be islanded with other nodes, the optical storage system is directly incorporated into main network operation, only the optical storage system at the node 14 participates in islanding, and the islanding scheme is shown in table 3 under two fault durations.
TABLE 3
Figure BDA0003572879130000112
Figure BDA0003572879130000121
3. Taking time-varying characteristics of a distributed power supply and a load into consideration, and carrying out optimization solution on a main network reconstruction scheme by adopting a binary particle swarm algorithm according to the fault occurrence time and duration of a power distribution network, wherein the optimization solution comprises the following steps:
(1) determining fault occurrence time and recovery time (the fault occurs at 11: 00-12: 00, and the recovery time is divided into two types, namely 1h and 2h respectively), and further determining the power supply quantity and the load power consumption demand quantity of the optical storage system in the main network;
(2) setting the SOP outlet voltage to be 12.28kV, solving a reconstruction network by adopting a binary particle swarm algorithm, setting the number of particles, the iteration times and the population dimension, and initializing the particle speed and the particle initial speed;
in the binary particle swarm algorithm, the velocity vector iterative formula of the particles is the same as the particle swarm algorithm, and the position vectors are determined by adopting a Sigmoid function and a segmented comparison method.
Sigmoid function:
Figure BDA0003572879130000122
and (3) segment comparison:
Figure BDA0003572879130000123
the velocity vector iteration process is still:
Figure BDA0003572879130000124
in the formula (I), the compound is shown in the specification,
Figure BDA0003572879130000125
the position of the t +1 th generation of the ith particle,
Figure BDA0003572879130000126
is the speed of the ith particle generation t +1, rand is a random number whose value is [0, 1 ]]And omega is the inertia coefficient of the particle and is 0.6, c1And c2For the particle learning coefficient, take 2.0,
Figure BDA0003572879130000127
Figure BDA0003572879130000128
respectively an individual optimal solution and a global optimal solution in the current iteration process.
(3) And (4) searching an optimal topological structure for fault recovery by taking the switching state of the sub-network line at the loss-of-connection side of the power distribution network as an optimization variable, and solving an objective function value. Checking whether the node voltage is out of limit or not, and if the node voltage is out of the lower limit, continuously reducing the main network load on the basis; if the node voltage exceeds the upper limit or does not meet the SOP operation constraint, abandoning the topology scheme and searching again on the premise of the current outlet voltage;
(4) and (4) performing multiple iterations on the particle swarm, and outputting an optimal solution and a corresponding objective function value after the iteration times are reached.
(5) And combining the island division scheme and the main network reconstruction scheme to form a fault recovery scheme with the specific fault occurrence time corresponding to the recovery time.
The failure occurs at 11: 00-12: 00, the results of each failure recovery strategy at both recovery times are shown in table 4.
TABLE 4
Figure BDA0003572879130000131
As can be seen from the table 4, the SOP is used for replacing the traditional interconnection switch in the line, so that the fault recovery capability of the power distribution network can be effectively improved. When the fault duration is prolonged, the main network cannot supply power to the secondary load with large part of power demand, the difference of the output of the optical storage system is small in two periods, most of the power grid is the secondary load, and therefore the fault duration 2h is low in compound power proportion. If the same network reconfiguration scheme is adopted in different periods, the scheme is not necessarily the optimal scheme for certain operation states, and sometimes even an infeasible scheme threatening the safe and stable operation of the system.
According to the method, the time-varying property of the distributed power supply and the load is taken into consideration, the binary particle swarm algorithm is adopted according to the fault occurrence time and the duration time of the power distribution network, the SOP is combined, the main network reconstruction scheme is subjected to optimization solution in a targeted mode, and the steps can be combined to form a fault recovery scheme corresponding to the specific fault occurrence time and the specific fault recovery time.
Example 2
In a second aspect, an active power distribution network fault recovery device considering SOP is provided, and as shown in fig. 3, the active power distribution network fault recovery device considering SOP includes:
the determining module is used for determining the SOP transfer capacity based on the preset SOP transfer capacity constraint condition;
the solving module is used for substituting the SOP conversion power into a pre-constructed active power distribution network fault recovery model, and solving the pre-constructed active power distribution network fault recovery model to obtain a power distribution network branch on-off regulation vector for fault recovery;
the pre-constructed fault recovery model of the active power distribution network comprises the following steps: and configuring an objective function, a model optimization variable and a constraint condition for the pre-constructed active power distribution network fault recovery model.
Determining the SOP transferring capacity based on the preset SOP transferring capacity constraint condition;
substituting the SOP conversion energy into a pre-constructed active power distribution network fault recovery model, and solving the pre-constructed active power distribution network fault recovery model to obtain a power distribution network branch on-off regulation vector for fault recovery;
the pre-constructed fault recovery model of the active power distribution network comprises the following steps: and configuring an objective function, a model optimization variable and a constraint condition for the pre-constructed active power distribution network fault recovery model.
Preferably, before determining the SOP powering capability based on the preset SOP powering capability constraint condition, the method includes:
when both ends of the SOP are the subnets on the networking side, the control mode for controlling the normal side of the SOP is UdcA Q control mode, wherein the control mode of the fault side is a PQ control mode;
when one end of the SOP is a sub-network on the networking side and the other end is a sub-network on the disconnection side, the control mode of the normal side of the SOP is controlled to be UdcQ control mode, the control mode of fault side is VfAnd (4) controlling the mode.
Preferably, the determining the SOP transfer capability based on the preset SOP transfer capability constraint condition includes:
taking the maximum active power output by the SOP fault side when the power distribution network meets the constraint condition of the preset SOP transferring power as the SOP transferring power;
wherein the preset SOP conversion energy constraint condition comprises at least one of the following conditions: node voltage constraint, branch current constraint, power distribution network power flow constraint, active power balance constraint at two ends of the SOP, and capacity constraint at two ends of the SOP.
Further, the mathematical expression of the active power balance constraint at two ends of the SOP is as follows:
P1+P2＝0
the mathematical expression of the capacity constraint at both ends of the SOP is as follows:
Figure BDA0003572879130000141
in the above formula, P1、P2Active power input at the normal side of the SOP and active power output at the fault side, Q1、Q2Respectively the reactive power of both sides of the SOP, S1、S2Respectively the access capacity on both sides of the SOP.
Preferably, the objective function is calculated as follows:
Figure BDA0003572879130000142
in the above formula, f is the target value of the objective function, αkIs the weight coefficient of node k, PkIs the loss load of node k, N is the total number of loss load nodes except the island node, L is the total number of lines, PxIs the active loss on line x.
Further, when the node k is a primary load, αkWhen node k is a secondary load, α is 2kWhen node k is a three-level load, α is 1.5k＝1。
Further, the model optimization variables are power distribution network branch on-off regulation vectors for fault recovery, and the mathematical expression of the model optimization variables is as follows:
A＝{A1,A2,A3…An}
in the above formula, A is a branch on-off regulation vector of the power distribution network for fault recovery, and AnIs the switching state of branch n, An0 denotes open, An1 represents on.
Further, the constraint condition configured for the pre-constructed fault recovery model of the active power distribution network includes at least one of the following conditions: active power balance constraint at two ends of the SOP, capacity constraint at two ends of the SOP, SOP conversion power constraint, node voltage constraint, branch current constraint, power flow constraint of a power distribution network, radial power distribution network constraint and power constraint in an island.
Further, the SOP can be converted into a mathematical expression of power constraint as follows:
P2≤Pmax
in the above formula, PmaxFor the provision of SOP, P2The active power output by the SOP fault side.
Example 3
Based on the same inventive concept, the present invention also provides a computer apparatus comprising a processor and a memory, the memory being configured to store a computer program comprising program instructions, the processor being configured to execute the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable gate array (FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc., which is a computing core and a control core of the terminal, and is specifically adapted to load and execute one or more instructions in a computer storage medium so as to implement a corresponding method flow or a corresponding function, so as to implement the steps of the active power distribution network fault recovery method in consideration of SOP in the foregoing embodiments.
Example 4
Based on the same inventive concept, the present invention further provides a storage medium, in particular, a computer-readable storage medium (Memory), which is a Memory device in a computer device and is used for storing programs and data. It is understood that the computer readable storage medium herein can include both built-in storage medium in the computer device and, of course, extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer readable storage medium may be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as at least one disk memory. One or more instructions stored in the computer-readable storage medium may be loaded and executed by the processor to implement the steps of the method for recovering from a fault in an active power distribution network in consideration of SOP in the above embodiments.
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 (16)

1. An active power distribution network fault recovery method considering SOP, characterized by comprising:
determining the SOP transferring capacity based on the preset SOP transferring capacity constraint condition;
substituting the SOP conversion energy into a pre-constructed active power distribution network fault recovery model, and solving the pre-constructed active power distribution network fault recovery model to obtain a power distribution network branch on-off regulation vector for fault recovery;
the pre-constructed fault recovery model of the active power distribution network comprises the following steps: and configuring an objective function, a model optimization variable and a constraint condition for the pre-constructed active power distribution network fault recovery model.
2. The method of claim 1, wherein prior to determining the SOP convergeable power based on the preset SOP convergeable power constraints, comprising:
when both ends of the SOP are the subnets on the networking side, the control mode for controlling the normal side of the SOP is UdcA Q control mode, wherein the control mode of the fault side is a PQ control mode;
when one end of the SOP is a sub-network on the networking side and the other end is a sub-network on the disconnection side, the control mode of the normal side of the SOP is controlled to be UdcQ control mode, the control mode of fault side is VfAnd (4) controlling the mode.
3. The method of claim 1, wherein determining the SOP transfer capability based on preset SOP transfer capability constraints comprises:
taking the maximum active power output by the SOP fault side when the power distribution network meets the constraint condition of the preset SOP transferring power as the SOP transferring power;
wherein the preset SOP rotation energy constraint condition comprises at least one of the following conditions: node voltage constraint, branch current constraint, power distribution network power flow constraint, active power balance constraint at two ends of the SOP, and capacity constraint at two ends of the SOP.
4. The method of claim 3, wherein the mathematical expression of the SOP two-terminal active power balance constraint is as follows:
P1+P2＝0
the mathematical expression of the capacity constraint at both ends of the SOP is as follows:
Figure FDA0003572879120000011
in the above formula, P1、P2Active power input at the normal side of the SOP and active power output at the fault side, Q1、Q2Respectively the reactive power of both sides of the SOP, S1、S2Respectively the access capacity on both sides of the SOP.
5. The method of claim 1, wherein the objective function is calculated as follows:
Figure FDA0003572879120000012
in the above formula, f is the target value of the objective function, αkIs the weight coefficient of node k, PkIs the loss load of node k, N is the total number of loss load nodes except the island node, L is the total number of lines, PxIs the active loss on line x.
6. The method of claim 5, wherein when node k is a first order load, αk2, when node k is a secondary load, αkWhen node k is a three-level load, α is 1.5k＝1。
7. The method of claim 5, wherein the model optimization variables are power distribution branch on-off adjustment vectors for fault recovery, and the mathematical expressions are as follows:
A＝{A1,A2,A3…An}
in the above formula, A is a branch on-off regulation vector of the power distribution network for fault recovery, and AnIs the switching state of branch n, An0 denotes open, An1 represents on.
8. The method of claim 5, wherein the constraints configured for the pre-built active power distribution network fault recovery model comprise at least one of: active power balance constraint at two ends of the SOP, capacity constraint at two ends of the SOP, SOP conversion power constraint, node voltage constraint, branch current constraint, power flow constraint of a power distribution network, radial power distribution network constraint and power constraint in an island.
9. The method of claim 8, wherein the SOP conversion power constraint is mathematically expressed as follows:
P2≤Pmax
in the above formula, PmaxFor the provision of SOP, P2The active power output by the SOP fault side.
10. An active power distribution network fault recovery device in consideration of SOP, the device comprising:
the determining module is used for determining the SOP transfer capability based on the preset SOP transfer capability constraint condition;
the solving module is used for substituting the SOP conversion power into a pre-constructed active power distribution network fault recovery model, and solving the pre-constructed active power distribution network fault recovery model to obtain a power distribution network branch on-off regulation vector for fault recovery;
the pre-constructed fault recovery model of the active power distribution network comprises the following steps: and configuring an objective function, a model optimization variable and a constraint condition for the pre-constructed active power distribution network fault recovery model.
11. The apparatus of claim 10, wherein the determination module is specifically configured to:
taking the maximum active power output by the SOP fault side when the power distribution network meets the constraint condition of the preset SOP transferring power as the SOP transferring power;
wherein the preset SOP conversion energy constraint condition comprises at least one of the following conditions: node voltage constraint, branch current constraint, power distribution network power flow constraint, active power balance constraint at two ends of the SOP, and capacity constraint at two ends of the SOP.
12. The apparatus of claim 10, wherein the objective function is calculated as follows:
Figure FDA0003572879120000021
in the above formula, f is the target value of the objective function, αkIs the weight coefficient of node k, PkIs the loss load of node k, N is the total number of the loss load nodes except the island node, L is the total number of the lines, PxIs the active loss on line x.
13. The apparatus of claim 12, wherein the model optimization variables are power distribution branch on-off adjustment vectors for fault recovery, the mathematical expressions of which are as follows:
A＝{A1,A2,A3…An}
in the above formula, A is a branch on-off regulation vector of the power distribution network for fault recovery, and AnIs the switching state of branch n, An0 denotes open, An1 represents on.
14. The apparatus of claim 12, wherein the constraints configured for the pre-built active power distribution network fault recovery model comprise at least one of: active power balance constraint at two ends of the SOP, capacity constraint at two ends of the SOP, SOP conversion power constraint, node voltage constraint, branch current constraint, power flow constraint of a power distribution network, radial power distribution network constraint and power constraint in an island.
15. A computer device, comprising: one or more processors;
the processor to store one or more programs;
the one or more programs, when executed by the one or more processors, implement the SOP-aware active power distribution network fault recovery method of any of claims 1-9.
16. A computer-readable storage medium, having stored thereon a computer program which, when executed, implements the method for fault recovery of an active power distribution network taking account of SOPs as claimed in any of claims 1 to 9.
CN202210330636.7A 2022-03-30 2022-03-30 SOP-considered active power distribution network fault recovery method and device Pending CN114709819A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117458444A (en) * 2023-10-19 2024-01-26 湖南科技大学 Power distribution network power supply recovery method based on intelligent soft switch

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