CN107332234B - Active power distribution network multi-fault restoration method considering renewable energy source intermittency - Google Patents
Active power distribution network multi-fault restoration method considering renewable energy source intermittency Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H—ELECTRICITY
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention discloses an active power distribution network multi-fault repair strategy considering renewable energy source intermittency, and a multi-fault staged repair strategy model of an active power distribution network is established; setting priority for power supply resources of the active power distribution network aiming at recovering the maximum power loss load and maintaining island stability, and providing a two-stage scheduling strategy aiming at a two-stage model; and solving the multi-fault staged model of the active power distribution network by adopting an algorithm combining a depth-first search algorithm and improved bacterial population chemotaxis (DBCC), and simulating by using MATLAB 7.10. According to the method, the emergency repair process is divided into two stages according to the time sequence, and a multi-fault stage repair strategy model of the active power distribution network is established to formulate a power supply resource scheduling strategy, so that important power loss loads are quickly recovered, and the total economic loss caused by faults is reduced; the stability of island power supply is ensured; MATLAB 7.10 is used for simulation, and the method is verified to be capable of rapidly recovering the power loss load and effectively reducing the total economic loss.
Description
Technical Field
The invention relates to the field of rapid multi-fault restoration of an active power distribution network, in particular to a multi-fault restoration method of the active power distribution network considering the intermittency of renewable energy sources.
Background
With the access of high-permeability Distributed Energy (DER) to a power distribution network, the control mode and communication technology of the traditional power distribution network cannot meet the new development requirements. An Active Distribution Network (ADN) is a power distribution system that actively controls and manages local DER using a flexible network topology to manage power flow. The power distribution network is used as a terminal network of the power system, once a fault occurs, serious economic loss is caused, and how to coordinate and schedule emergency recovery resources of the active power distribution network to quickly recover power loss loads is very important.
In the research of multi-fault repairing strategies at home and abroad, a multi-team emergency repair optimization model of a power distribution network with distributed power supplies is established, the emergency repair strategies are optimized by using a multi-agent and DBCC algorithm, and the recovery model considered in the emergency repair is simpler; a multi-fault staged and layered rush-repair and recovery coordination optimization model of a distribution network containing DGs is established, a feeder line is equivalent to a virtual DG in recovery, and island and main network cooperative recovery is realized. Foreign scholars study the uncertainty of fault repair time in the multi-fault repair process to obtain a robust repair strategy;
in the research of the multi-fault restoration strategy, the DG output is taken as stable output, but actually, with the development of an active power distribution network, the photovoltaic and wind power permeability is higher and higher, the photovoltaic and wind power output has time-varying property, students in China consider the time-varying property of the photovoltaic and wind power output, and the power loss load in an island is kept to be supplied continuously by using an energy storage and load shedding mechanism and an electric automobile.
Disclosure of Invention
The invention aims to provide an active power distribution network multi-fault restoration strategy which sets priority for an active power distribution network, can quickly recover important power loss loads and keep stability of island power supply and considers renewable energy source intermittency.
In order to realize the purpose, the following technical scheme is adopted: the method comprises the following steps:
and 5, carrying out simulation analysis on the examples by using matlab software.
Further, the specific process of step 1 is as follows: when the active power distribution network fails, a Distributed Generation (DG), an energy storage system, a flexible load and a mobile emergency power supply vehicle can provide electric energy for the active power distribution network; in order to fully utilize power supply resources to recover more power-losing loads and ensure that the power-losing loads recovered during the fault period are continuously supplied with power, the priority of the power supply recovery resources is set.
Maximum recovery load: when the active power distribution network fails, the light storage, the wind storage and the mobile emergency power supply vehicle can be used as a power supply to recover power loss loads, the recovery cost is considered, and when multiple failures occur, the recovery cost of the light storage and the wind storage is lower than that of the mobile emergency power supply vehicle. Therefore, the light storage priority and the wind storage priority are higher than those of the mobile emergency power supply vehicle. The total power loss load power recovered by the light storage, the wind storage and the mobile emergency power supply vehicle can be expressed as follows:
PLoss＝PEPV+PEWT+PMEPS
in the formula, PLossIs power loss load power; pEPVDischarging power for the light storage system; pEWTDischarging power for the wind storage system; pMEPSAnd supplying power to the power-losing load for the mobile emergency power supply vehicle.
Stability of island power supply: during the fault period, the light storage and wind storage output forces are unstable, and frequent changes of the topological structure of the island are not allowed, so that the island needs to be adjusted by using a mobile emergency power supply vehicle and a flexible load, and the island is kept to continuously supply power to an important power loss load. And setting the priority of the mobile emergency power supply vehicle to be higher than that of the flexible load in consideration of the satisfaction degree of the user.
The island stability is judged by an island voltage stability index:
in the formula IjInjecting current into the island branch; u shapeiIs the voltage in the island; rijAnd XijThe resistances and reactances of the branches i-j, respectively; pjAnd QjRespectively, the active and reactive power flowing into node j.
The criterion for carrying out island stability according to the island voltage stability index is as follows: i close to 0 indicates stabilization and I close to 1 indicates instability.
Further, the specific process of step 2 is as follows:
step 2-1, repairing the target in the stages of emergency repair and quick recovery;
2-1-1) determining a first failure point
The expected power supply loss (EENS) refers to the amount of lost power load which can be recovered by rush repair of a fault point when the active power distribution network fails, and reflects the severity of the fault, and is expressed by the following formula:
in the formula, TjTime taken to first-aid repair j fault point, N is the set of power-loss loads caused by j fault point, wjAs load weight class factor, PjRepairing the power loss load power recovered by a fault point;
the importance of a fault point refers to the recovery degree of the power grid in a specified time or under a certain condition after the repair of a certain fault point is completed. The evaluation index of the importance of the fault point is expressed by the following formula:
wherein P is the total power of the power-off load, gammajImportance of jth fault point, γjA larger value indicates a higher severity for the j fault point;
2-1-2) objective function
With the maximum goal of restoring the lost charge, i.e.
In the formula, wiImportance level weight, k, for load node i restored by power supply resourceiIs the charged state of the load node i, 1 is charged, 0 is uncharged, PiFor the power of the power-loss load node i recovered by using the power supply resource, D is power lossElectric load sets, M being an adjusted flexible load or tertiary load set, PlFor regulated flexible load or tertiary load power;
step 2-2, performing emergency repair and recovery combined optimization on the target;
with a minimum of total economic losses, i.e.
In the formula TjTime (including vehicle journey time and emergency repair team emergency repair time) for first-aid repair of j fault points, wjIs a load grade weight coefficient, and m is the number of formed islands; z is a set of fault points to be rush-repaired; ciEconomic compensation factor, k, for interruptible userslIn order to utilize the electrified state of the power-off load node l recovered by the mobile emergency power supply vehicle, 1 is electrified, and 0 is uncharged; w is alIs a load level weight coefficient;
step 2-3, constraint conditions;
2-3-1) DER force output constraint
PDERcmin≤PDERc≤PDERcmax c＝1,2,…,Ndg
In the formula NdgIs the total number of DER, PDERc、PDERcminAnd PDERcmaxActual output, lower limit of output and upper limit of output of the c DER are respectively;
2-3-2) Mobile Emergency Power supply constraints
P1≤PC
tm≥Tl
In the formula, tmThe maximum power supply time is the maximum power supply time of the mobile emergency power supply vehicle; t islThe power supply recovery time is the power supply recovery time of the power loss load supplied by the mobile emergency power supply vehicle; p1The sum of the power loss load quantity of the mobile emergency power supply vehicle to be supplied with power; pcThe maximum value of the discharge capacity of the mobile emergency power supply vehicle is obtained;
2-3-3) energy storage device Charge-discharge restraint
In the formula, EtRepresents the remaining energy, P, of the energy storage device at the end of time period tbtIndicating the charging and discharging power of the energy storage device, EmaxRepresents the maximum electrical energy that can be stored by the energy storage device, EminThe minimum residual electric energy allowed by the energy storage device;
2-3-4) first-aid repair resource constraints
Rs≤R。
In the formula, RsResources spent to salvage the fault; and R is the existing resource of the power supply company.
Further, the specific process of step 3 is as follows:
step 3-1, a power supply resource scheduling strategy is carried out in the first stage;
1) when the active power distribution network fails, the active power distribution network comprehensive management center dispatches the light storage, the wind storage, the feeder line and the mobile emergency power supply vehicle to recover important power loss loads as much as possible; the maximum power supply capacity of the active power distribution network at the moment is as follows:
SRS(t)＝SEW(t)+SEV(t)+SFeeder(t)+SMEPS(t)
in the formula, SEW(t) maximum power supply capacity S of wind storage system at time tEV(t) maximum power supply capacity of the optical storage system at time t, SFeeder(t) maximum power supply capability of feeder, SMEPS(t) the maximum power supply capacity of the mobile emergency power supply vehicle at the moment t;
2) during the emergency repair of the fault point, the power shortage L occurs in the islandloss(t)＜SRS(t), the flexible load is scheduled by the active power distribution network management center to supplement the missing electric quantity in time, and the maximum adjustable capacity is as follows:
SAdjust(t)＝SIL(t)+STL(t)
in the formula, SIL(t) maximum adjustable power supply capability for transferable loads, STL(t) the maximum adjustable power supply capacity capable of reducing load;
3) during the emergency repair of fault points, the island power shortage is large, namely Lloss(t)-SRS(t)＞SAdjustThe three-level load needs to be reduced;
step 3-2, a second stage power supply resource scheduling strategy;
1) DG grid-connected operation capable of being connected to the grid after the breakdown point rush-repair is completed, and the mobile emergency power supply vehicle with residual power in the first stage performs power supplement for an unstable island;
2) when the mobile emergency power supply vehicle has no surplus or the surplus is insufficient, the flexible load is adjusted.
Further, the specific process of step 4 is as follows:
step 4-1, a strategy model is restored in a first stage;
initialization: initializing network data and determining failure time;
and (3) calculating: EENS, DG capacity, loss of power load;
and (3) prediction: predicting the photovoltaic and wind power output;
forming an initial island: dividing an island by taking a DG as a root node by utilizing a depth-first search algorithm;
island stability: dividing time intervals according to the pre-repair time of the fault point, and judging the stability of the island in each time interval until the repair of the fault point is completed;
step 4-2, performing a global optimal repair strategy process;
initialization: initializing a network topological structure and the number of bacteria groups;
optimizing: individual optimization and overall optimization;
and (3) calculating an adaptive value: the calculations were performed with the goal of minimizing the total economic loss.
Further, the specific process of step 5 is as follows:
step 5-1, determining an example and necessary characteristics thereof;
and 5-2, writing a DBCC program by matlab software to perform simulation analysis on the sample.
Compared with the prior art, the invention has the following advantages:
1. the active power distribution network power supply resources can be rapidly scheduled through the scheduling priority, and the power loss load can be rapidly recovered.
2. The active power distribution network multi-fault staged repairing strategy has the advantages that important power loss loads are recovered quickly, and economic loss is reduced.
3. The two-stage power supply resource scheduling strategy of the active power distribution network can ensure that the recovered power-losing load can be supplied with power continuously and stably.
Drawings
Fig. 1 is a power supply resource priority setting framework diagram of the method of the present invention.
Fig. 2 is a flow chart of the emergency repair and rapid recovery phases of the method of the present invention.
Fig. 3 is a flowchart of the active power distribution network repair strategy optimization of the method of the present invention.
FIG. 4 is a schematic diagram of an exemplary embodiment of the method of the present invention.
FIG. 5 is a graph illustrating the prediction of the output during a PV or WT failure in accordance with the method of the present invention.
Fig. 6 is a diagram of the first phase recovery strategy of the method of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
with reference to fig. 2 and 3, the calculation method of the present invention includes the following specific steps:
When the active power distribution network breaks down, a Distributed Generation (DG), an energy storage system, a flexible load and a mobile emergency power supply vehicle can provide electric energy for the active power distribution network. In order to fully utilize power supply resources to recover more power-losing loads and ensure that the power-losing loads recovered during the fault period are continuously supplied with power, the priority of the power supply recovery resources is set. The power restoration resource priority setting framework for power restoration of the active power distribution network is shown in fig. 1.
(2-1) repair target in emergency repair and quick recovery stages
1) Determining a first point of failure
The expected power supply loss (EENS) refers to the amount of lost power load which can be recovered by rush repair of a fault point when the active power distribution network fails, and reflects the severity of the fault, and is expressed by the following formula:
in the formula TjTime taken to first-aid repair j fault point, N is the set of power-loss loads caused by j fault point, wjAs load weight class factor, PjAnd repairing the power loss load power recovered by one fault point.
The importance of a fault point refers to the recovery degree of the power grid in a specified time or under a certain condition after the repair of a certain fault point is completed. The evaluation index of the importance of the fault point is expressed by the following formula:
wherein P is total power of power-off load, gammajImportance of jth fault point, γjA larger value indicates a higher severity for the j fault point.
2) Objective function
With the maximum goal of restoring the lost charge, i.e.
In the formula wiImportance level weight, k, for load node i restored by power supply resourceiIs the charged state of the load node i, 1 is charged, 0 is uncharged, PiThe power of a power-losing load node i recovered by utilizing power supply resources, D is a power-losing load set, M is an adjusted flexible load or a three-level load set, and P islFor regulated flexible loads or three-level load power.
(2-2) Combined optimization target for rush repair and recovery
With the maximum goal of restoring the lost charge, i.e.
In the formula TjThe time for first-aid repair of the j fault point comprises vehicle journey time and first-aid repair team first-aid repair time; w is ajIs a load grade weight coefficient, and m is the number of formed islands; z is a set of fault points to be rush-repaired; ciEconomic compensation factor, k, for interruptible userslIn order to utilize the electrified state of the power-off load node l recovered by the mobile emergency power supply vehicle, 1 is electrified, and 0 is uncharged; w is alIs a load level weight coefficient;
(2-3) constraint Condition
(1) DER force constraint
PDERcmin≤PDERc≤PDERcmax c＝1,2,…,Ndg
In the formula NdgIs the total number of DER, PDERc、PDERcminAnd PDERcmaxThe actual output, the lower limit of the output and the upper limit of the output of the c-th DER are respectively.
(2) Mobile emergency power supply restraint
P1≤PC
tm≥Tl
In the formula, tmThe maximum power supply time is the maximum power supply time of the mobile emergency power supply vehicle; t islThe power supply recovery time is the power supply recovery time of the power loss load supplied by the mobile emergency power supply vehicle; p1The sum of the power loss load quantity of the mobile emergency power supply vehicle to be supplied with power; pcThe maximum value of the discharged quantity of the mobile emergency power supply vehicle.
(3) Energy storage device charge-discharge restraint
In the formula EtRepresents the remaining energy, P, of the energy storage device at the end of time period tbtIndicating the charging and discharging power of the energy storage device, EmaxRepresents the maximum electrical energy that can be stored by the energy storage device, EminThe minimum remaining energy allowed by the energy storage device.
(4) First-aid repair resource constraints
Rs≤R
In the formula, RsResources spent to salvage the fault; and R is the existing resource of the power supply company.
the repair models of each stage are different, the emergency degree of the power supply resource requirements are different, therefore, the scheduling strategies of the power supply resources in different stages are different, and the two-stage scheduling strategy of the power supply resources is provided according to the priority of the power supply resources
(3-1) a first-stage power supply resource scheduling strategy;
1) when the active power distribution network fails, the active power distribution network comprehensive management center dispatches the light storage, the wind storage, the feeder line and the mobile emergency power supply vehicle to recover important power loss loads as much as possible. The maximum power supply capacity of the active power distribution network at the moment is as follows:
SRS(t)＝SEW(t)+SEV(t)+SFeeder(t)+SMEPS(t)
in the formula SEW(t) maximum power supply capacity S of wind storage system at time tEV(t) maximum power supply capacity of the optical storage system at time t, SFeeder(t) maximum power supply capability of feeder, SMEPSAnd (t) is the maximum power supply capacity of the mobile emergency power supply vehicle at the moment t.
2) During the emergency repair of the fault point, the power shortage L occurs in the islandloss(t)＜SRS(t), the flexible load is scheduled by the active power distribution network management center to supplement the missing electric quantity in time, and the maximum adjustable capacity is as follows:
SAdjust(t)＝SIL(t)+STL(t)
in the formula SIL(t) maximum adjustable power supply capability for transferable loads, STL(t) the maximum adjustable power supply capacity with which the load can be reduced.
3) During the emergency repair of fault points, the island power shortage is large, namely Lloss(t)-SRS(t)＞SAdjustThen a third order load reduction is required.
(3-2) second-stage power supply resource scheduling strategy
1) And after the breakdown point rush repair is finished, the grid-connected DG can be operated in a grid-connected mode, and the mobile emergency power supply vehicle with the residual power in the first stage supplements power for the unstable island.
2) When the mobile emergency power supply vehicle has no surplus or the surplus is insufficient, the flexible load is adjusted.
(4-1) first-stage repair strategy model solution
The method comprises the following specific steps:
1) initialization: initializing network data and determining failure time;
2) and (3) calculating: calculating EENS and DG capacity and power loss load
EENS is calculated according to the formula (3-2), and the severity of the fault point is obtained according to the EENS. A first failure point is determined.
3) And (3) prediction: prediction of photovoltaic and fan output
Prediction of photovoltaics: the method based on the grey neural network combination model predicts the photovoltaic output, inputs the solar radiation value according to the power generation principle of the photovoltaic effect of the solar cell, the empirical formula of illumination conversion and reasonable empirical coefficients, and calculates the photovoltaic power generation output power, namely:
PPV(t)＝ηAS
in the formula, η is the rated photoelectric conversion efficiency, a is the area, and S is the solar irradiance.
And (3) predicting the output of the fan: like photovoltaic power, the output power of wind power generation is greatly influenced by wind speed, and the weibull distribution is used for analysis, and the distribution function is as follows:
F(v)＝1-exp[-(v/c)k]
the output power of the wind power generation is as follows:
in the formula PrRated power (kW) of the wind turbine; v. ofciThe cut-in wind speed (m/s) of the wind generating set; v. ofrThe rated wind speed (m/s) of the wind generating set; v. ofcoA cut-out wind speed (m/s) of the wind turbine generator set; k is a radical of1＝Pr/(vr-vci)；k2＝-Pr/(vr-vci)；PWThe output power of the wind generating set; v wind speed (m/s).
The prediction curves of photovoltaic and fan output during the fault are shown in fig. 5.
4) Forming an initial island: dividing an island by taking a DG as a root node by utilizing a depth-first search algorithm;
5) island stability: time intervals are divided according to the time for rush-repair of the fault point, and the stability of the island is judged in each time interval until the rush-repair of the fault point is completed.
And if the island is stable, the power supply is continuously supplied to the power-off load, and if the island is unstable, the power supply resources are scheduled and adjusted according to the first-stage power supply resource scheduling strategy to ensure that the island is stably supplied with power.
(4-2) globally optimal repair strategy flow
Initialization: initializing a network topological structure and the number of bacteria groups;
initializing a network structure, the number of bacterial groups and the iteration times of facilities, forming an initial restoration scheme by taking the maximum recovery power loss load as a target according to the figure 2, and modifying the network topological structure. The initial repair protocol is shown in figure 6.
Optimizing: individual optimization and overall optimization;
and (3) calculating an adaptive value: the calculations were performed with the goal of minimum total economic loss and minimum rush repair time.
In the global optimization process, DG grid-connected operation capable of being in grid-connected operation is performed at each failure point after first-aid repair is completed; and dividing time intervals according to the fault pre-repair time, judging the stability of the island in each time interval, adjusting the island according to a second-stage scheduling strategy, and continuously supplying power to the power-loss load recovered by the island.
(5-1) determining an example and necessary characteristics thereof;
taking an improved IEEE69 node active power distribution network as an example, MATLAB 7.10 is used for simulation analysis. The power distribution network is provided with 69 nodes, 4 interconnection switches, 2 energy storages and 4 DGs, an energy storage device ESS is arranged corresponding to each DG, and the rated voltage is 12.66 kV. 0 is a root node, 1-7 are fault points, 8-76 are load nodes, the first-level load weight coefficient is 100, the second-level load weight coefficient is 10, the third-level load weight coefficient is 1, and the load grades of the loads are shown in table 1. The nodes 28, 66, 72 are respectively connected to the wind storage system, the light storage system, the wind storage system and the light storage system, the parameters are shown in table 2, the feeder line is connected to the node 54, and the connection capacity is 150. 3 emergency power generation cars are provided, the power is 125, 75 and 75 respectively, and the maximum discharge hours are 10h, 6h and 6h respectively. For computational simplicity, text CiWith a fixed value of 2, an example structure of the IEEE69 node is shown in fig. 4.
(5-2) adopting matlab software to write DBCC algorithm program to perform simulation analysis on the examples
According to simulation, the first fault point of emergency repair can be rapidly determined by the model, important power-loss loads can be rapidly recovered, and a globally optimal power-loss load restoration strategy is obtained.
The above-mentioned embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solution of the present invention by those skilled in the art should fall within the protection scope defined by the claims of the present invention without departing from the spirit of the present invention.
Claims (4)
1. A multi-time scale active power distribution network multi-fault repairing method considering renewable energy source intermittency is characterized by comprising the following steps:
step 1, setting power supply resource scheduling priority of an active power distribution network;
step 2, establishing a multi-fault staged repairing method model of the active power distribution network;
the specific process of the step 2 is as follows:
step 2-1, repairing the target in the stages of emergency repair and quick recovery;
2-1-1) determining a first failure point
The expected power supply loss EENS means that when the active power distribution network fails, the power loss load can be recovered by rush repair of a failure point, the severity of the failure is reflected, and the power loss EENS is expressed by the following formula:
in the formula, TjTime taken to first-aid repair j fault point, N is the set of power-loss loads caused by j fault point, wjIs a load level weight coefficient, PjRecovering the power loss load power for rush repair of a fault point;
the importance of a fault point refers to the recovery degree of the power grid in specified time or under certain conditions after the repair of a certain fault point is finished; the evaluation index of the importance of the fault point is expressed by the following formula:
wherein P is the total power of the power-off load, gammajImportance of jth fault point, γjA larger value indicates a higher severity for the j fault point;
2-1-2) objective function
With the maximum goal of restoring the lost charge, i.e.
In the formula, wiImportant grade weight, k, of power-loss load node i for recovery by power supply resourceiIn order to recover the charged state of the power-off load node i by utilizing the power supply resource, 1 is charged, 0 is uncharged, and P isiThe power of a power-loss load node i recovered by utilizing power supply resources; d is a power-off load set, M is an adjusted flexible load or a three-level load set, and PlFor regulated flexible or three-stage load power, klIn order to adjust the charged state of the flexible load or the three-level load node l, 1 is charged, and 0 is uncharged; w is alIs a load level weight coefficient;
step 2-2, performing emergency repair and recovery combined optimization on the target;
with a minimum of total economic losses, i.e.
In the formula TjThe time for first-aid repair of the j fault point comprises vehicle journey time and first-aid repair team first-aid repair time; w is ajIs a load grade weight coefficient, and m is the number of formed islands; z is a set of fault points to be rush-repaired; ciEconomic compensation factor, k, for interruptible userslIn order to utilize the electrified state of the power-off load node l recovered by the mobile emergency power supply vehicle, 1 is electrified, and 0 is uncharged; w is alIs a load level weight coefficient;
step 2-3, constraint conditions;
2-3-1) output constraint of distributed energy, namely DER;
PDERcmin≤PDERc≤PDERcmax c＝1,2,…,Ndg
in the formula NdgIs the total number of DER, PDERc、PDERcminAnd PDERcmaxActual output, lower limit of output and upper limit of output of the c DER are respectively;
2-3-2) Mobile Emergency Power supply constraints
P1≤PC
tm≥Tl
In the formula, tmThe maximum power supply time is the maximum power supply time of the mobile emergency power supply vehicle; t islThe power supply recovery time is the power supply recovery time of the power loss load supplied by the mobile emergency power supply vehicle; p1The sum of the power loss load quantity of the mobile emergency power supply vehicle to be supplied with power; pcThe maximum value of the discharge capacity of the mobile emergency power supply vehicle is obtained;
2-3-3) energy storage device Charge-discharge restraint
In the formula, EtRepresents the remaining energy, P, of the energy storage device at the end of time period tbtIndicating the charging and discharging power of the energy storage device, EmaxRepresents the maximum electrical energy that can be stored by the energy storage device, EminThe minimum residual electric energy allowed by the energy storage device;
2-3-4) first-aid repair resource constraints
Rs≤R
In the formula, RsResources spent to salvage the fault; r is the existing resource of the power supply company;
step 3, a two-stage power supply resource scheduling method is provided;
step 4, solving the multi-fault staged repairing method model of the active power distribution network by adopting a depth-first search algorithm and an algorithm combining the improved bacterial population chemotaxis DBCC;
and 5, carrying out simulation analysis on the examples by using matlab software.
2. The multi-time scale active power distribution network multi-fault repairing method considering the renewable energy source intermittency, as claimed in claim 1, wherein the specific process of step 1 is as follows:
when the active power distribution network fails, the renewable energy sources, the energy storage system, the flexible load and the mobile emergency power supply vehicle can provide electric energy for the active power distribution network; in order to fully utilize scarce power supply resources to recover more power-losing loads and ensure that the power-losing loads recovered during the fault period are continuously supplied with power, the scheduling priority of available power supply resources after the fault is set;
the total power loss load power recovered by the light storage, the wind storage and the mobile emergency power supply vehicle is as follows: when the initiative distribution network trouble, light stores up, wind stores up, removes emergency power source car and all can resume to losing the electric load as the power, and light stores up, wind stores up and removes the total power load power that loses that emergency power source car resumes and be:
PLoss＝PEPV+PEWT+PMEPS
in the formula, PLossIs power loss load power; pEPVDischarging power for the light storage system; pEWTDischarging power for the wind storage system; pMEPSSupplying power to the power-losing load for the mobile emergency power supply vehicle;
stability of island power supply: during the fault period, the output of the light storage and the wind storage fluctuates along with the change of time, and the power shortage of the island power supply occurs, so that the island needs to be adjusted; the mobile emergency power supply vehicle and the flexible load can provide power for island power supply, and continuity of the island power supply is kept;
the criterion for judging the stability of the island power supply according to the island voltage stability index is as follows:
wherein, Ij-islanding voltage stability indicator; p is a radical ofk-active power flowing into node j; rij-resistances on branches i-j; qj-reactive power flowing into node j; xij-reactance on branch i-j; u shapei-the voltage of node i; i isjClose to 0 indicates stability, IjNear 1 tableIs clearly unstable.
3. The method for repairing multiple faults of the active power distribution network with multiple time scales considering the intermittency of the renewable energy sources as claimed in claim 1, wherein the specific process of the step 3 is as follows:
step 3-1, a first-stage power supply resource scheduling method;
1) when the active power distribution network fails, the active power distribution network comprehensive management center dispatches the light storage, the wind storage, the feeder line and the mobile emergency power supply vehicle to recover important power loss loads as much as possible; the maximum power supply capacity of the active power distribution network at the moment is as follows:
SRS(t)＝SEW(t)+SEV(t)+SFeeder(t)+SMEPS(t)
in the formula SEW(t) maximum power supply capacity S of wind storage system at time tEV(t) maximum power supply capacity of the optical storage system at time t, SFeeder(t) maximum power supply capability of feeder, SMEPS(t) the maximum power supply capacity of the mobile emergency power supply vehicle at the moment t;
2) during the emergency repair of the fault point, the power shortage L occurs in the islandloss(t)＜SRS(t), the flexible load is scheduled by the active power distribution network management center to supplement the missing electric quantity in time, and the maximum adjustable capacity is as follows:
SAdjust(t)＝SIL(t)+STL(t)
in the formula SIL(t) maximum adjustable power supply capability for transferable loads, STL(t) the maximum adjustable power supply capacity capable of reducing load;
3) during the emergency repair of fault points, the island power shortage is large, namely Lloss(t)-SRS(t)＞SAdjustThe three-level load needs to be reduced;
step 3-2, a second stage power supply resource scheduling method;
1) renewable energy sources which can be connected to the grid after the breakdown point emergency repair is completed are operated in a grid-connected mode, and the mobile emergency power supply vehicle with the residual power in the first stage supplements power for an unstable island;
2) when the mobile emergency power supply vehicle has no surplus or the surplus is insufficient, the flexible load is adjusted.
4. The method for repairing multiple faults of the active power distribution network with multiple time scales considering the intermittency of the renewable energy sources as claimed in claim 1, wherein the specific process of the step 4 is as follows:
step 4-1, a first stage of model solution of a restoration method;
initialization: initializing network data and determining failure time;
and (3) calculating: the expected power supply quantity EENS renewable energy capacity and power loss load quantity are lacked;
and (3) prediction: predicting the photovoltaic and wind power output;
forming an initial island: dividing an island by taking renewable energy as a root node by using a depth-first search algorithm;
island stability: dividing time intervals according to the pre-repair time of the fault point, and judging the stability of the island in each time interval until the repair of the fault point is completed;
step 4-2, carrying out a global optimal repair method flow;
initialization: initializing a network topological structure and the number of bacteria groups;
optimizing: individual optimization and overall optimization;
and (3) calculating an adaptive value: the calculations were performed with the goal of minimizing the total economic loss.
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