CN114386833A - Elasticity evaluation and mobile energy storage regulation and control method for active power distribution network - Google Patents

Elasticity evaluation and mobile energy storage regulation and control method for active power distribution network Download PDF

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CN114386833A
CN114386833A CN202210031911.5A CN202210031911A CN114386833A CN 114386833 A CN114386833 A CN 114386833A CN 202210031911 A CN202210031911 A CN 202210031911A CN 114386833 A CN114386833 A CN 114386833A
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typhoon
distribution network
power distribution
active power
energy storage
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王旭
王钰山
蒋传文
龚开
王欣萌
张继行
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Shanghai Jiaotong University
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

An active power distribution network elasticity evaluation and mobile energy storage regulation and control method comprises the steps of establishing a typhoon mobile wind field model and a line comprehensive fault rate model through typhoon prediction time period information and typhoon initial invasion information which are published and collected by a meteorological office and a GIS in real time, and reflecting the time-space change characteristic of typhoon; and then, through an active power distribution network elasticity evaluation index, establishing an active power distribution network mobile energy storage scheduling and operation model, solving through a column and constraint algorithm, calculating an active power distribution network elasticity index according to a switching scheme, and evaluating the elasticity level of the power distribution network.

Description

Elasticity evaluation and mobile energy storage regulation and control method for active power distribution network
Technical Field
The invention relates to a technology in the field of power grid control, in particular to an active power distribution network elasticity evaluation and mobile energy storage regulation and control method.
Background
In the aspect of the existing distribution network elasticity improvement research, a set of indexes for evaluating the elasticity level of the active distribution network from multiple angles is not provided for the distribution network. And the method is not considered in the aspect of the fault space-time influence on the power distribution network caused by typhoon disasters, reasonable configuration and calling of flexible resources are not realized by combining a typhoon movement model, and the method is mainly based on the research of single-time-interval and specific types of faults, does not consider the problem that the instantaneity of measurement and communication equipment under disasters is difficult to guarantee, and is difficult to provide guidance for engineering application.
Disclosure of Invention
The invention provides an active power distribution network elasticity evaluation and mobile energy storage regulation and control method aiming at the defects that the prior art does not consider the influence change of a specific disaster (such as typhoon) on the power distribution system fault on a time scale and a space scale, considers a single elasticity index, does not consider the influence of the disaster on a traffic road and further designs an operation scheme of an active power distribution network during the disaster, models a typhoon wind field according to the characteristics of regional typhoon meteorological disasters, analyzes the space-time influence of the typhoon wind field on the power distribution network, simultaneously establishes an active power distribution network elasticity evaluation index system to comprehensively evaluate the elasticity level of the power distribution system, establishes an optimization decision model for the active power distribution network resource allocation and the disaster operation by taking the mobile energy storage as the main resource on the basis, and provides an elasticity improvement flexible measure of the active power distribution network in response to the typhoon disasters, and scientifically and comprehensively evaluate the elasticity level of the active power distribution network.
The invention is realized by the following technical scheme:
the invention relates to an active power distribution network elasticity evaluation and mobile energy storage regulation and control method, which comprises the steps of establishing a typhoon mobile wind field model and a line comprehensive fault rate model through typhoon prediction time period information and typhoon initial invasion information which are issued and measured by a meteorological office and a GIS (geographic information system) and collected in real time, and reflecting the time-space change characteristic of typhoon; and then, through the elasticity evaluation index of the active power distribution network, establishing a mobile energy storage scheduling and running model of the active power distribution network, solving through a column and constraint algorithm, calculating the elasticity index of the active power distribution network according to a scheduling scheme, and evaluating the elasticity level of the power distribution network.
The typhoon mobile wind field model comprises: typhoon center coordinate of disaster emergency scheduling time t
Figure BDA0003466748720000011
Figure BDA0003466748720000011
Figure BDA0003466748720000012
10 grade wind circle radius
Figure BDA0003466748720000013
Figure BDA0003466748720000021
And central maximum wind speed
Figure BDA0003466748720000022
Figure BDA0003466748720000023
Wherein: t is the duration total time interval number of the typhoon process,
Figure BDA0003466748720000024
and (3) forecasting typhoon data information intervals returned by the meteorological bureau and the GIS, wherein 0 is the initial moment of disaster emergency scheduling.
The line comprehensive fault rate model comprises the following steps: circulating wind speed in wind farm
Figure BDA0003466748720000025
Figure BDA0003466748720000026
And wind speed acting on the line
Figure BDA0003466748720000027
Wherein: vmaxIs the maximum wind speed in the wind field, Vo,tIs the maximum wind speed of typhoon at time t, alpha1Is the wind pressure non-uniformity coefficient, muzIs the coefficient of variation of the wind pressure height, muscIs the form factor of the wire, betacFor adjusting the coefficient of wind load of the line conductor, d1In order to consider the outer diameter of the iced wire, B is the wind load increase coefficient during icing, and lambda is the included angle between the wind direction and the line. And generating a maximum wind speed calculation wind field point wind speed and a line bearable maximum wind speed by adopting extreme value III type distribution (Weibull distribution) through a Monte Carlo simulation method, and comparing and calculating to obtain a line fault rate space-time characteristic matrix.
The elasticity evaluation indexes of the active power distribution network comprise: loss of function of distribution network
Figure BDA0003466748720000028
The system function satisfies a threshold probability R2＝P{D′(t)＞Dmin{ }, index considering load importance
Figure BDA0003466748720000029
Index taking into account economic compensation factor
Figure BDA00034667487200000210
Defense time R of power distribution network5(t) D' (t) is less than or equal to D (t), and the load loss rate of the node
Figure BDA00034667487200000211
Number of off-grid nodes
Figure BDA00034667487200000212
Ratio of important load shedding amount
Figure BDA00034667487200000213
Average outage time of important loads
Figure BDA00034667487200000214
Figure BDA00034667487200000215
Wherein: d (t) and D' (t) are load curves of normal operation and disaster operation of the active power distribution network respectively, M is the number of possible fault scenes, and delta DiIs the amount of off-load with load weight, D, under scene i0Is the total weighted load quantity, T, of the active power distribution network0For active power distribution network emergency regulation cost, NnodeIs the total number of nodes of the distribution network, ccutCompensating the price, alpha, for node shedding loadiIs a node i load importance weight, Dcut，1(t) important load shedding amount, Dcut，1，2，3(t) Total amount of all cutting loads, D1，i(t) is the important load size of node i, Nnode，1The number of important nodes of the power distribution network is increased.
The mobile energy storage scheduling and operating model of the active power distribution network is as follows:
Figure BDA00034667487200000216
Figure BDA00034667487200000217
wherein: n is a radical ofmessNumber of mobile energy stores configured for planning, ccapInvestment cost for MESS Unit Capacity installation, EjFitting battery capacity, u, for the jth MESS plansThe psi is a discrete power distribution network operation fault scene and uncertain scene set,
Figure BDA0003466748720000031
is the scene probability weight.
Technical effects
The method comprises the steps of evaluating the elasticity of the power distribution network from the whole to multiple aspects, considering a real-time scheduling strategy that measurement and communication are difficult to ensure that the power distribution network is subjected to rolling optimization under typhoon disasters, establishing an active power distribution network mobile energy storage scheduling and operating model introducing scene probability factors, providing a parameter matrix which obtains the fault rate of the power distribution system along with time evolution by using a simulated operating path and start-stop parameters of the typhoon disasters, simultaneously utilizing the advantage of mobile energy storage in the active power distribution network, considering load importance and elasticity index optimization, realizing the optimization of the active power distribution network scheduling and operating strategy considering economy and elasticity, and carrying out multi-angle evaluation.
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FIG. 1 is a flow chart of elasticity evaluation according to the present invention;
FIG. 2 is a schematic diagram of a mobile energy storage optimization regulation method according to the present invention;
FIG. 3 is a diagram illustrating network topology and mesh length according to an embodiment;
FIG. 4 is a graph illustrating the percent photovoltaic output of an example;
FIG. 5 is a schematic diagram illustrating a ten-level wind circle range at the start-stop moment of a typhoon according to the embodiment;
FIG. 6 is a schematic diagram of an embodiment mobile energy storage operating strategy;
FIG. 7 is a schematic diagram of an embodiment of a mobile energy storage operation SOC variation.
Detailed Description
The embodiment relates to an elasticity evaluation and mobile energy storage regulation and control system for an active power distribution network, which comprises: the system comprises an information acquisition module, a typhoon wind field model calculation module, an optimized scheduling module and an elasticity evaluation module, wherein: the information acquisition module inputs the typhoon parameters measured and forecasted by the meteorological bureau and the GIS into the typhoon wind field model calculation module to obtain a mobile wind field model, the typhoon wind field calculation module is connected with the optimized scheduling module and provides a fault uncertainty model under typhoon disasters, and the elasticity evaluation module outputs various indexes to analyze.
The measurement and forecast typhoon parameters of the meteorological bureau and the GIS comprise: the method comprises the steps that weather data is predicted by a GIS (geographic information system) in the typhoon invasion initial stage of a power grid to obtain the typhoon center maximum speed, typhoon center point coordinates and typhoon 10-level wind circle radius data of the typhoon disaster at the end time period, and transmitted actual measurement data 5-15 minutes before the first disaster emergency dispatching time period in the typhoon invasion initial stage is obtained through weather measurement equipment and serves as initial t 0 time information.
The typhoon wind field model calculation module is set according to a typhoon mobile wind field model and typhoon start and stop actual measurement and forecast information, and establishes a time-space characteristic matrix considering the comprehensive fault rate of the power distribution network line of the tower-line, and the typhoon wind field model calculation module comprises: typhoon wind field parameter calculating unit and overhead line comprehensive fault rate calculating unit of emergency dispatch time interval t, wherein: the typhoon wind field parameter calculation unit calculates to obtain typhoon central point coordinates, typhoon central maximum speed and typhoon 10-level wind ring radius data results according to forecast and measurement information returned by the information acquisition module, and the overhead line comprehensive fault rate calculation unit calculates to obtain fault rate matrixes of lines in each time period during a disaster through a Monte Carlo simulation method.
The optimization scheduling module is based on load shedding compensation price, mobile energy storage operation cost and node load importance degree weight difference so as to consider the economic elasticity index R4An active power distribution network elastic lifting model is established for a target, and an operation strategy and a load shedding strategy of mobile energy storage are optimized, wherein the optimization scheduling module comprises: the system comprises a mobile energy storage optimization configuration unit and a scheduling operation strategy unit in a disaster, wherein: the mobile energy storage optimization configuration unit is used for optimizing the problem of the upper layer of the model and providing mobile energy storage capacity data for the lower layer of the model; and the scheduling operation strategy unit in the disaster is used for searching for the optimal charge and discharge strategy in the mobile energy storage disaster by introducing scene probability factors based on the upper-layer introduced parameters, so that the load loss is reduced, and the upper-layer and lower-layer problems are solved iteratively through a CCG algorithm.
The elasticity evaluation module realizes elasticity evaluation and analysis in the aspects of disaster time resistance of the power distribution system, power distribution system function loss, power distribution system economic loss and important load offline on the basis of the elasticity evaluation index of the active power distribution network and the solution result of the optimized scheduling module.
As shown in fig. 1, the present embodiment relates to an elastic lifting and evaluation method for an active power distribution network based on the above system, which specifically includes:
step 1) partial topology of a 110kV power distribution system in a certain area of Shanghai city is used as a detection system, 2021 year typhoon 'fireworks' are combined to record related information in a central meteorological station typhoon network, the load adopts the value given by a standard system, the network topology and the grid length are as shown in figure 3, and the photovoltaic capacity is as follows: ePV1＝399.9kW，EPV2＝225.0kW，EPV3368.6kW, the output curve during typhoon is calculated according to fig. 4; the typhoon influence lasts for 8 hours, the range of a typhoon 10-level wind circle at the starting and stopping time is shown in fig. 5, and the starting and stopping information comprises: (x)0，y0)＝(2.9，-40)，(xT，yT)＝(11.5，-34)，R10，0＝100km，R10，T＝80km，Vomax，0＝35m/s，Vomax，T＝32m/s；
Step 2), fitting parameters of the III-type distribution of the maximum wind speed extreme value in the typhoon wind field comprise: 11.8174, 23.1902 and 4.8878.
And step 3) dividing the distribution system area according to the importance, wherein the northwest direction line nodes are dense and are mostly civil loads, and defining the loads in a dotted line frame in the figure 3 as heavy loads, wherein the weight of the common loads is 1.0, and the weight of the heavy loads is 2.0. (ii) a The parameters of the gas turbine set and the configured mobile energy storage MESS are shown in Table 1, the initial state SOC of each MESS is 1.0, the unit distance moving cost of the mobile energy storage is 2.6117 yuan/km, and the maximum moving speed of the MESS of the mobile energy storage vehicle is vmax1.8km/min, the investment cost of energy storage is 1600 yuan/kWh, and the load shedding cost is 10 yuan/kW. Scene probability factor
Figure BDA0003466748720000041
The determination process of (2) is as follows: all possible scenes are arranged according to the occurrence probability from large to small, the number of the scenes is recorded as N, and the probability of the scenes is maximum pmaxCorrespond to
Figure BDA0003466748720000042
Probability of scene pmin0.1% corresponds to
Figure BDA0003466748720000043
The weight selection can be determined based on the conservatism of the dispatcher, and can be reduced appropriately if the economy is more favored
Figure BDA0003466748720000044
Taking values, on the contrary, if the better robustness is hoped to be ensured, the values can be increased, and the probability is positioned in the interval [ p ]min，pmax]The inner scenes are numbered as s from big to small1...，si，...snThe probability weight of any scene corresponding to the scene is [0015 ]]The given calculation was obtained.
TABLE 1
Figure BDA0003466748720000045
Figure BDA0003466748720000051
And 4) calculating the change situation of the comprehensive fault rate of the partial lines in the first stage according to the typhoon information, wherein the change situation is shown in the table 2.
TABLE 2
Figure BDA0003466748720000052
Step 5) establishing a mobile energy storage dispatching operation three-layer optimization model of the active power distribution network, solving through a CCG algorithm,
the mobile energy storage capacity is configured to:
Figure BDA0003466748720000053
step 6), according to the obtained charging and discharging and access position scheme in the mobile energy storage disaster, taking a specific scene as an example, the schematic diagram of the mobile energy storage operation strategy is shown in fig. 6, the positions of the nodes where the mobile energy storage is located in each time interval are shown in table 3, and the charging and discharging SOC change of the mobile energy storage is shown in fig. 7.
TABLE 3
Figure BDA0003466748720000054
Figure BDA0003466748720000061
And 7) comparing the results of the elasticity indexes of the active power distribution network before and after the strategy is adopted, and the results are shown in a table 4.
TABLE 4
Elasticity index Not using policy Employing policies
R1 16055.5kWh 11067.5kWh
R2 22.22％ 55.56％
R3 44.71％ 32.94％
R4 175004.95 yuan 112224.45 yuan
R5 T＝0 T＝0
R6 42.91％ 31.37％
R7 42.91％ 31.37％
R8 27.41％ 14.58％
R9 46.03％ 16.67％
Through experiments, as shown in fig. 7, the stored energy through the 4 MESSs reaches or approaches the SOC minimum level at the end of the typhoon disaster impact period, which indicates that the energy of the mobile energy storage is fully called during the typhoon emergency dispatching. Compared with the case of not adopting the lifting strategy, the water balance quantity R of the whole load loss is taken as the elasticity index1Reduced by 31.07 percent and R7The reduction is 11.54%; measurement of R with important load guarantee3Reduced by over 10%, and R1/R4The average actual node load shedding cost is represented by the result, and is reduced from 10.91 yuan/kWh to 10.14 yuan/kWh, and the result shows that the method not only reduces the total load shedding amount and the total offline load node amount during the disaster period when the typhoon disaster is dealt with, but also improves the power supply guarantee capability of important loads of the active power distribution network to a certain extent.
Compared with the prior art, the method is no longer based on the fault or fault rate of subjective assumption, the dispatcher is enabled to adjust the tendencies of robustness and economy according to the tendencies of the dispatcher and the established typhoon wind field model is combined, the operation scheme and the load shedding scheme of mobile energy storage during the disaster are given at the initial stage of the occurrence of the typhoon disaster, and the real problem that instantaneity is difficult to guarantee due to the fact that measurement and communication devices are affected by the disaster when the real-time dispatching is carried out by adopting rolling optimization is avoided; meanwhile, the invention also provides a group of indexes for realizing the elasticity evaluation of the active power distribution network from multiple aspects, and provides guidance for engineering or research and calculation.
Aiming at typhoon disasters, the invention designs and provides a distribution network elasticity level evaluation index system, and comprehensively evaluates the elasticity level of the active distribution network from disaster time resistance of the distribution system, functional loss of the distribution system, economic loss of the distribution system and important load disconnection. In addition, a typhoon mobile wind field model is established to obtain a comprehensive line fault rate space-time characteristic matrix considering line-tower faults, an active power distribution network mobile energy storage scheduling and operation model is established on the basis, an active power distribution network elastic lifting strategy is given by combining typhoon data and power distribution network gridding information, and an elastic lifting effect is evaluated, which is not considered in previous researches. The power distribution network elasticity evaluation index system and the mobile energy storage allocation strategy established by the invention provide model support and technical guidance for the construction of the elastic power distribution network.
The foregoing embodiments may be modified in many different ways by those skilled in the art without departing from the spirit and scope of the invention, which is defined by the appended claims and all changes that come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

Claims (7)

1. An active power distribution network elasticity evaluation and mobile energy storage regulation and control method is characterized in that a typhoon mobile wind field model and a line comprehensive fault rate model are established through typhoon prediction time period information and typhoon initial invasion information which are issued and measured by a meteorological office and a GIS (geographic information system) in real time, and the time-space change characteristic of the typhoon is reflected; then, through the elasticity evaluation index of the active power distribution network, establishing a mobile energy storage scheduling and running model of the active power distribution network, solving through a column and constraint algorithm, calculating the elasticity index of the active power distribution network through a scheduling scheme, and evaluating the elasticity level of the power distribution network;
the mobile energy storage scheduling and operating model of the active power distribution network is as follows:
Figure FDA0003466748710000011
Figure FDA0003466748710000012
wherein: n is a radical ofmessNumber of mobile energy stores configured for planning, ccapInvestment cost for MESS Unit Capacity installation, EjFitting battery capacity, u, for the jth MESS plansThe psi is a discrete power distribution network operation fault scene and uncertain scene set,
Figure FDA0003466748710000013
is the scene probability weight.
2. The active power distribution network elasticity assessment and mobile energy storage regulation and control method of claim 1, wherein the typhoon mobile wind field model comprises: typhoon center coordinate of disaster emergency scheduling time t
Figure FDA0003466748710000014
Figure FDA0003466748710000015
10 grade wind circle radius
Figure FDA0003466748710000016
Figure FDA0003466748710000017
And central maximum wind speed
Figure FDA0003466748710000018
Figure FDA0003466748710000019
Wherein: t is the duration total time interval number of the typhoon process,
Figure FDA00034667487100000110
and (3) forecasting typhoon data information intervals returned by the meteorological bureau and the GIS, wherein 0 is the initial moment of disaster emergency scheduling.
3. The active power distribution network elasticity evaluation and mobile energy storage regulation and control method as claimed in claim 2, wherein the line synthetic fault rate model comprises: circulating wind speed in wind farm
Figure FDA00034667487100000111
Figure FDA00034667487100000112
And wind speed acting on the line
Figure FDA00034667487100000113
Wherein: vmaxIs the maximum wind speed in the wind field, Vo,tIs the maximum wind speed of typhoon at time t, alpha1Is the wind pressure non-uniformity coefficient, muzIs the coefficient of variation of the wind pressure height, muscIs the form factor of the wire, betacFor adjusting the coefficient of wind load of the line conductor, d1In order to consider the outer diameter of the iced conductor, B is the wind load increase coefficient during icing, and lambda is the included angle between the wind direction and the line, the wind speed of each point in the wind field is calculated by generating the maximum wind speed through the Monte Carlo simulation method by adopting extreme value III type distribution, and the wind speed of each point in the wind field is compared with the maximum bearable wind speed of the line, so that the line fault rate space-time characteristic matrix is obtained.
4. The active power distribution network elasticity evaluation and mobile energy storage regulation and control method as claimed in claim 3, wherein the active power distribution network elasticity evaluation index comprises: loss of function of distribution network
Figure FDA0003466748710000021
The system function satisfies a threshold probability R2＝P{D′(t)＞Dmin{ }, index considering load importance
Figure FDA0003466748710000022
Index taking into account economic compensation factor
Figure FDA0003466748710000023
Defense time R of power distribution network5(t) D' (t) is less than or equal to D (t), and the load loss rate of the node
Figure FDA0003466748710000024
Number of off-grid nodes
Figure FDA0003466748710000025
Ratio of important load shedding amount
Figure FDA0003466748710000026
Average outage time of important loads
Figure FDA0003466748710000027
Wherein: d (t) and D' (t) are load curves of normal operation and disaster operation of the active power distribution network respectively, M is the number of possible fault scenes, and delta DiIs the amount of off-load with load weight, D, under scene i0Is the total weighted load quantity, T, of the active power distribution network0For active power distribution network emergency regulation cost, NnodeIs the total number of nodes of the distribution network, ccutCompensating the price, alpha, for node shedding loadiIs a node i load importance weight, Dcut，1(t) important load shedding amount, Dcut，1，2，3(t) Total amount of all cutting loads, D1，i(t) is the important load size of node i, Nnode，1The number of important nodes of the power distribution network is increased.
5. A system for realizing the active power distribution network elasticity assessment and mobile energy storage regulation and control method of any one of claims 1 to 4 is characterized by comprising the following steps: the system comprises an information acquisition module, a typhoon wind field model calculation module, an optimized scheduling module and an elasticity evaluation module, wherein: the information acquisition module inputs the typhoon parameters measured and forecasted by the meteorological bureau and the GIS into the typhoon wind field model calculation module to obtain a mobile wind field model, the typhoon wind field calculation module is connected with the optimized scheduling module and provides a fault uncertainty model under typhoon disasters, and the elasticity evaluation module outputs various indexes to analyze;
the measurement and forecast typhoon parameters of the meteorological bureau and the GIS comprise: the method comprises the steps that weather data is predicted by a GIS (geographic information system) in the typhoon invasion initial stage of a power grid to obtain the typhoon center maximum speed, typhoon center point coordinates and typhoon 10-level wind circle radius data of the typhoon disaster at the end time period, and transmitted actual measurement data 5-15 minutes before the first disaster emergency dispatching time period in the typhoon invasion initial stage is obtained through weather measurement equipment and serves as initial t 0 time information.
6. The system as claimed in claim 5, wherein the typhoon wind field model calculation module establishes a time-space characteristic matrix considering the comprehensive fault rate of the power distribution network line of the tower-line according to the typhoon moving wind field model, the typhoon start-stop actual measurement and the forecast information setting, and the typhoon wind field model calculation module comprises: typhoon wind field parameter calculating unit and overhead line comprehensive fault rate calculating unit of emergency dispatch time interval t, wherein: the typhoon wind field parameter calculation unit calculates to obtain typhoon central point coordinates, typhoon central maximum speed and typhoon 10-level wind ring radius data results according to forecast and measurement information returned by the information acquisition module, and the overhead line comprehensive fault rate calculation unit calculates to obtain fault rate matrixes of lines in each time period during a disaster through a Monte Carlo simulation method.
7. The system of claim 5, wherein the optimal scheduling module considers the elasticity index of the economy based on the load shedding compensation price, the mobile energy storage operation cost and the weight difference of the node load importance degreeR4An active power distribution network elastic lifting model is established for a target, and an operation strategy and a load shedding strategy of mobile energy storage are optimized, wherein the optimization scheduling module comprises: the system comprises a mobile energy storage optimization configuration unit and a scheduling operation strategy unit in a disaster, wherein: the mobile energy storage optimization configuration unit is used for optimizing the problem of the upper layer of the model and providing mobile energy storage capacity data for the lower layer of the model; and the scheduling operation strategy unit in the disaster is used for searching for the optimal charge and discharge strategy in the mobile energy storage disaster by introducing scene probability factors based on the upper-layer introduced parameters, so that the load loss is reduced, and the upper-layer and lower-layer problems are solved iteratively through a CCG algorithm.
CN202210031911.5A 2022-01-12 2022-01-12 Elasticity evaluation and mobile energy storage regulation and control method for active power distribution network Pending CN114386833A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115330559A (en) * 2022-10-17 2022-11-11 国网浙江余姚市供电有限公司 Power distribution network elasticity evaluation method and device based on information data time-space coordination
CN116014769A (en) * 2023-01-16 2023-04-25 天津大学 Side-shifting energy-storage day-ahead scheduling method for low-voltage transformer area

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115330559A (en) * 2022-10-17 2022-11-11 国网浙江余姚市供电有限公司 Power distribution network elasticity evaluation method and device based on information data time-space coordination
CN116014769A (en) * 2023-01-16 2023-04-25 天津大学 Side-shifting energy-storage day-ahead scheduling method for low-voltage transformer area
CN116014769B (en) * 2023-01-16 2023-08-11 天津大学 Side-shifting energy-storage day-ahead scheduling method for low-voltage transformer area

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