CN115378042A - Distributed flexible resource coordination control method - Google Patents

Distributed flexible resource coordination control method Download PDF

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CN115378042A
CN115378042A CN202211309109.4A CN202211309109A CN115378042A CN 115378042 A CN115378042 A CN 115378042A CN 202211309109 A CN202211309109 A CN 202211309109A CN 115378042 A CN115378042 A CN 115378042A
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power
edge
distribution transformer
flexible resource
line
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CN115378042B (en
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熊俊杰
张新鹤
何桂雄
饶臻
钟鸣
刘铠诚
王松岑
陈洪银
何伟
贾晓强
郭毅
芋耀贤
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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 Jiangxi 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 Jiangxi Electric Power Co Ltd
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    • H—ELECTRICITY
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    • H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously

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Abstract

The invention discloses a distributed flexible resource coordination control method, wherein a side terminal acquires data of a rural energy supply system; establishing a flexible load and flexible resource output aggregation model; judging whether the edge terminal is autonomous or not according to distribution transformer and whether the line is overloaded again or not; if the side end is autonomous, determining the flexible load and the output regulation and control quantity of the flexible resource by using the distribution transformer economic operation as an optimization target; if the side ends cannot be autonomous, the cloud layer coordinates the exchange power of each side end, and determines the output regulation and control quantity of the flexible load and the flexible resource by taking the distribution transformer economic operation as an optimization target; judging whether the difference between the actual quantity and the regulating quantity is within the error allowable range; and if the relative error is within the allowable range, outputting an edge regulation instruction. The invention effectively improves the side end autonomous ability and the operation economy of the rural energy supply system by using the optimization target of the distribution transformer economic operation on the premise of meeting the supply and demand balance of the rural energy supply system.

Description

Distributed flexible resource coordination control method
Technical Field
The invention relates to the technical field of power utilization regulation and control, in particular to a distributed flexible resource coordination control method.
Background
In recent years, with the increase of urbanization construction and rural power demand, rural power distribution networks are continuously transformed and expanded, and a large number of distributed power supplies, energy storage devices and flexible loads are connected into the rural power distribution networks to be in grid-connected operation, so that a traditional rural power distribution network system with source follow-up load is converted into a rural energy supply system with source network load and storage multi-level coordination. This transition places higher demands on the overall accurate perception of the rural energy supply system, wide area data transmission, and real-time processing analysis capabilities. However, the traditional method for processing data in a centralized manner by a cloud center of a power distribution network is prone to problems of high time delay, low efficiency, insufficient capability of processing data in real time and the like. Therefore, the research on how to improve the capability of the rural energy supply and utilization system in sensing and accurately regulating the distributed sources, loads and storage resources in real time is of great significance.
Disclosure of Invention
In order to solve the technical problems, the invention provides the following technical scheme:
the invention relates to a distributed flexible resource coordination control method, which comprises the following steps,
step 1, collecting data of a rural energy supply system by a side terminal;
step 2, establishing a flexible load and flexible resource output aggregation model;
step 3, judging whether the edge terminal is autonomous or not according to the distribution transformer and whether the line is overloaded again or not;
if the side end is autonomous, determining the output regulation and control quantity of the flexible load and the flexible resource by using the distribution transformer economic operation as an optimization target;
if the side ends cannot be autonomous, the cloud layer coordinates the exchange power of each side end, and determines the output regulation and control quantity of the flexible load and the flexible resource by taking the distribution transformer economic operation as an optimization target;
step 4, judging whether the difference between the actual quantity and the regulating quantity is within the error allowable range;
step 5, if the relative error is in the allowable range, outputting an edge regulation instruction; and if the relative error is not in the allowable error range, repeating the steps 3 to 4 until the relative error is in the allowable range, and finally outputting the side end regulation and control instruction.
As a preferable technical scheme of the invention, the rural energy supply system comprises photovoltaic power generation equipment, energy storage equipment, hydroelectric generator equipment, methane generator equipment and ground source heat equipment.
Specifically, the flexible load and flexible resource output aggregation model comprises a photovoltaic power generation model, an electrochemical energy storage model, a small hydropower station model, a methane power generation model and a ground source heat pump model.
As a preferred technical scheme of the invention, the method for judging whether the distribution transformer is heavily overloaded comprises the following steps:
critical power of system when distribution transformer overloadP CP The expression is as follows:
Figure 863074DEST_PATH_IMAGE001
in the formula (I), the compound is shown in the specification,nthe number of the distribution transformer in the side end is changed,S jN is as followsjThe rated capacity of the station distribution transformer,P PV is the output power of the photovoltaic array and,P BAT the energy is stored for the battery to output the power,P W the power is output for small hydropower stations,P BGS the power is output for the power generation of the methane,P F in order to be able to flexibly load the power,P L other load power;
if critical powerP CP If the power is more than or equal to 0, the distribution transformer is not overloaded again, the edge can realize autonomy, and if the critical power is larger than or equal to 0P CP <0, the distribution transformer is overloaded again, and the edge terminal can not realize autonomy.
As a preferred technical solution of the present invention, the method for judging whether the line is heavily overloaded is:
critical current of line current during heavy line overloadI CP The expression is as follows:
Figure 663DEST_PATH_IMAGE002
in the formula (I), the compound is shown in the specification,I N being a lineThe magnitude of the rated current is large,Ithe current flowing through the line is the magnitude of the current flowing through the line;
if critical currentI CP If the load is more than or equal to 0, the line is not overloaded again, and the edge can realize autonomy;
if critical currentI CP <0, the line is overloaded again, and the edge terminal can not realize autonomy.
As a preferred technical solution of the present invention, in step 3, if a certain edge cannot perform autonomous operation due to overload of a distribution transformer, it indicates that the edge has a power shortage, and other edges may coordinate to transmit power to the edge through a cloud layer, so as to implement autonomous operation of the edge, and transmit power to ensure that the edge that cannot perform autonomous operation performs autonomous operation and can perform economic operationP ST The values of (A) are as follows:
Figure 820852DEST_PATH_IMAGE003
in the formula (I), the compound is shown in the specification,k 1 the margin coefficient is set for combining the actual operation conditions of other side ends and is in the range of more than or equal to 0k 1 ≤0.8。
As a preferred technical solution of the present invention, in step 3, if a certain edge cannot perform autonomous operation due to heavy line overload, it indicates that the edge has a power shortage, and other edges may coordinate to transmit power to the edge through a cloud layer, so as to implement autonomous operation of the edge, and transmit power to ensure that the edge that cannot perform autonomous operation performs autonomous operation and can perform economic operationP SI The values of (A) are as follows:
Figure 360286DEST_PATH_IMAGE004
in the formula (I), the compound is shown in the specification,k 2 the margin coefficient is set for combining the actual operation conditions of other side ends and is in the range of more than or equal to 0k 2 ≤0.8，U N Is the nominal voltage of the line.
As a preferred technical solution of the present invention, in the step 4, it is determined whether a relative error between the controlled variable and the actual variable is within an allowable range, where the allowable range of the error is:
Figure 37255DEST_PATH_IMAGE005
in the formula (I), the compound is shown in the specification,P r is a matter of being an actual quantity,P o in order to regulate and control the quantity of the liquid,δis the relative error of the regulated quantity and the actual quantity.
The present invention also provides an apparatus for implementing a distributed flexible resource coordination control method, the apparatus storing computer program instructions for executing the distributed flexible resource coordination control method.
The invention has the beneficial effects that: the rural energy supply and utilization side end autonomous method can adjust side end regulation and control instructions in real time according to flexible resource output and flexible load fluctuation, and effectively improves the side end autonomous ability and operation economy of the rural energy supply and utilization system by optimizing the operation target of the distribution transformer on the premise of meeting the supply and demand balance of the rural energy supply and utilization system.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of the steps of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.
As shown in fig. 1, the method for coordinating and controlling distributed flexible resources of the present invention includes the following steps
Step 1, collecting data of a rural energy supply system by a side terminal; load power data, distribution transformation load rate data and power data of energy supply equipment of a country energy supply system in a border terminal are collected;
step 2, establishing a flexible load and flexible resource output aggregation model of the rural energy supply system in the side terminal;
step 3, judging whether the edge terminal is autonomous or not according to the distribution transformer and whether the line is overloaded again or not;
if the side end is autonomous, determining the flexible load and the output regulation and control quantity of the flexible resource by using the distribution transformer economic operation as an optimization target;
if the side ends cannot be autonomous, the cloud layer coordinates the exchange power of each side end, and determines the output regulation and control quantity of the flexible load and the flexible resource by taking the distribution transformer economic operation as an optimization target;
step 4, judging whether the difference between the actual quantity and the regulating quantity is within the error allowable range;
step 5, if the relative error is in the allowable range, outputting a side end regulation and control instruction; and if the relative error is not in the allowable error range, repeating the steps 3 to 4 until the relative error is in the allowable range, and finally outputting the side end regulation and control instruction.
The energy supply equipment comprises photovoltaic power generation equipment, energy storage equipment, hydroelectric generator equipment, methane generator equipment and ground source heat equipment.
The method for establishing the flexible load and flexible resource output aggregation model comprises the following steps:
for a photovoltaic power generation model of a photovoltaic power generation device, because photovoltaic output has randomness and uncertainty, the output of photovoltaic in each time interval is non-negative and within a theoretical maximum power limit range, and the photovoltaic power generation constraint conditions are as follows:
Figure 412873DEST_PATH_IMAGE006
in the formula (I), the compound is shown in the specification,P PV (t) outputting power of the photovoltaic power generation equipment at the moment t;P PVmax and the maximum value of the output power of the photovoltaic power generation equipment.
Aiming at an electrochemical energy storage model of energy storage equipment, an Energy Storage (ES) system adopts a simplified battery model, and the following conditions are met in the process that the ES system participates in the operation of the system:
Figure 20441DEST_PATH_IMAGE007
the operation constraint conditions are as follows:
Figure 165114DEST_PATH_IMAGE008
in the formula (I), the compound is shown in the specification,E ES (t) Is composed oftThe time ES stores energy;E ES (t-1) Is composed oft-1 time ES storing energy;P ec ES (t) Is composed oftThe charging power of the electric energy storage at any moment;SOC ES (t) Is composed oftTime ES state of charge;P ed ES (t) Is composed oftConstantly storing the energy and discharging the power;η ES ec charging efficiency for electrical energy storage;η ES ed discharge efficiency for electrical energy storage;E ES max 、E ES min respectively an upper boundary and a lower boundary of the electric energy storage energy;SOC ES max 、SOC ES min respectively as the upper and lower boundaries of the state of charge;P ES ec,max 、P ES ed,max respectively charging and discharging upper limit values of the electric energy storage;E ES (0)、E ES (T) The time is 0 and the stored electricity quantity is after the operation period.
Aiming at a small hydropower station model of hydroelectric generator equipment, the general output power expression of the small hydropower station is as follows:
Figure 480163DEST_PATH_IMAGE009
in the formula (I), the compound is shown in the specification,P w mechanical power for the turbine shaft;h w hydraulic efficiency of the water turbine;ρ w is the density of water; g is the acceleration of gravity;Q w the water flow rate of the water turbine;η w is the effective head of the water turbine.
It satisfies the constraint condition:
Figure 139814DEST_PATH_IMAGE010
the small hydropower output is restricted by the reservoir capacity, the capacity of a water turbine and the output of a hydropower station,P w，min the rated minimum power for the small hydroelectric power,P w，max the rated maximum power of the small hydropower station. The storage capacity of small hydropower stations and the flow of water turbines should meet the following constraints:
Figure 285494DEST_PATH_IMAGE011
in the formula (I), the compound is shown in the specification,v i (t) Is a firstiSmall hydropower stationtThe storage capacity at the moment of time,v i,max 、v i,min are respectively the firstiThe upper limit and the lower limit of the storage capacity of the small hydropower stations;q i (t) Is a firstiSmall hydropower stationtThe flow rate of the water turbine at a moment,q i,max 、q i,min are respectively the firstiThe upper limit and the lower limit of the flow of the water turbine of the small hydropower station.
Aiming at a biogas power generation model of biogas generator equipment, a large amount of organic wastes such as crop straws, weeds, livestock and poultry manure and the like can be generated in ecological breeding and agricultural production, and under the anaerobic condition, the organic substances are decomposed and metabolized by various microorganisms with various types, large quantities and different functions to finally generate biogas. The BGS unit supplies heat energy and electric energy simultaneously by burning methane, and the maximum power output constraint equation is as follows:
Figure 550253DEST_PATH_IMAGE012
the constraint conditions of the biogas power generation are as follows:
Figure 755975DEST_PATH_IMAGE013
in the formula (I), the compound is shown in the specification,P e BGS (t) Is composed oftOutputting electric power by a BGS unit at the moment;η e BGS the electric efficiency of the BGS unit is obtained;Q in BGS (t) Is composed oftInputting the energy of the BGS set at any moment;γ Q is a heat unit conversion coefficient;m M BGS (t) Is composed oftAt the moment, the BGS unit inputs the flow of the methane;LVH M the heat value of the biogas is;P e,max BGS and outputting an electric power limit value for the BGS unit.
Aiming at a ground source heat pump model of ground source heat equipment, a ground source heat pump is adopted to meet the cold/heat load of rural ecological breeding, and the cold/heat power output and power constraint are as follows:
Figure 106185DEST_PATH_IMAGE014
the operation constraint conditions of the ground source heat pump are as follows:
Figure 868605DEST_PATH_IMAGE015
in the formula (I), the compound is shown in the specification,C hp (t)、H hp (t) Respectively a ground source heat pumptCold power and hot power output at any moment;η hp,c 、η hp,h the cold and heat production efficiency of the ground source heat pump is improved; z is a linear or branched member hp Is variable 0 and 1, and represents the selection of the refrigerating and heating states of the typical daily ground source heat pump, Z hp =0 said typical day ground source heat pump is in refrigeration state, Z hp =1 indicates that the typical daily ground source heat pump is in a heating state;P ep (t) For ground source heat pumptInputting electric power at any time;P ep,max the maximum electric power of the ground source heat pump.
The method for judging whether the distribution transformer is overloaded or not comprises the following steps:
critical power of system when distribution transformer overloadP CP The expression is as follows:
Figure 237138DEST_PATH_IMAGE016
in the formula (I), the compound is shown in the specification,nthe number of the distribution transformer in the side end is changed,S jN the rated capacity of the distribution transformer for the jth station,P PV is the output power of the photovoltaic array and,P BAT the energy is stored for the battery to output the power,P W the power is output for small hydropower stations,P BGS the power is output for the power generation of the methane,P F in order to be the flexible load power,P L other load power;
if the critical powerP CP If the power distribution transformation is more than or equal to 0, the distribution transformation does not generate heavy overload, the edge terminal can realize autonomy, and if the critical power is larger than or equal to 0P CP <0, the distribution transformer is overloaded again, and the edge end can not realize autonomy.
The method for judging whether the line is heavily overloaded is,
critical current of line current during heavy line overloadI CP The expression is as follows:
Figure 98915DEST_PATH_IMAGE002
in the formula (I), the compound is shown in the specification,I N in order to be the rated current of the line,Iis the magnitude of the current flowing through the line.
If critical currentI CP If the line is not overloaded, the edge end can realize autonomy;
if critical currentI CP <0, the line is heavily overloaded, and the edge end cannot realize autonomy.
If one side end cannot be autonomous due to overload of distribution transformer, the side end is indicated to have power shortage, other side ends can be coordinated through the cloud layer to transmit power to the side end, the autonomous of the side end is realized, and the power is transmitted to ensure that the side end which cannot be autonomous realizes autonomous and can run economicallyP ST The values of (A) are as follows:
Figure 188618DEST_PATH_IMAGE017
，
in the formula (I), the compound is shown in the specification,k 1 the margin coefficient is set for combining the actual operation conditions of other side ends and is in the range of more than or equal to 0k 1 ≤0.8。
The specific operation of determining the output of the flexible resource and the regulation and control amount of the flexible load by taking the economic operation of the distribution transformer as an optimization target at the edge end is as follows:
determining an optimization objective function, optimizing the objective function, and regarding the edge terminal containing n distribution transformers, taking the minimum comprehensive power loss as an optimization objective, the optimization objective function is as follows:
Figure 692412DEST_PATH_IMAGE018
in the formula (I), the compound is shown in the specification,Fintegrated power consumption (kW) for a certain mode of operation;nthe number of the distribution transformers;P j0 is a firstjNo-load active power loss (kW) of the stage transformer; q j0 Is as followsjNo-load reactive power loss (kvar) of the stage transformer;P jK for transformersjShort circuit active power loss (kW);Q jK for a transformerjShort circuit reactive power loss (kvar);K Q is a reactive economic equivalent (kW/kvar);S j for transformersjLoad apparent power (kVA);S jN for transformersjRated capacity (kVA).
Constraints on economic operation of distribution transformers include distribution transformersjLoad apparent power ofS j Cannot exceed its rated valueS jN The constraint of the main wiring form of the distribution transformer, the constraint of the flexible resource output and the flexible load in the step 2,
according to the optimized objective function and the constraint condition, the regulation and control quantity of other energy supply equipment such as photovoltaic power generation, an energy storage device, small hydropower, methane power generation, flexible load and the like can be solved.
In step 3, if a certain edge cannot perform autonomy due to overload of the line, the power shortage of the edge is indicated, other edges can be coordinated to transmit power to the edge through the cloud layer, autonomy of the edge is achieved, and power is transmitted to ensure that the edge which cannot perform autonomy performs autonomy and can operate economicallyP SI The values of (A) are as follows:
Figure 181031DEST_PATH_IMAGE004
in the formula (I), the compound is shown in the specification,k 2 the margin coefficient is set for combining the actual operation conditions of other side ends and is in the range of more than or equal to 0k 2 ≤0.8，U N Is the nominal voltage of the line.
In the step 4, whether the relative error between the regulated quantity and the actual quantity is within an allowable range is judged, wherein the allowable range of the error is as follows:
Figure 744867DEST_PATH_IMAGE005
in the formula (I), the compound is shown in the specification,P r in the form of an actual quantity,P o in order to regulate the amount of the enzyme to be used,δis the relative error of the regulated quantity and the actual quantity.
The present embodiments also provide an apparatus for implementing a distributed flexible resource coordination control method, the apparatus storing computer program instructions for executing the distributed flexible resource coordination control method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 so forth) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be implemented by adopting various computer languages, such as object-oriented programming language Java and transliterated scripting language JavaScript.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (9)

1. A distributed flexible resource coordination control method is characterized by comprising the following steps:
step 1, collecting data of a rural energy supply system by a side terminal;
step 2, establishing a flexible load and flexible resource output aggregation model;
step 3, judging whether the side end is autonomous or not according to the distribution transformer and whether the line is overloaded again or not; if the side end is autonomous, determining the output regulation and control quantity of the flexible load and the flexible resource by using the distribution transformer economic operation as an optimization target; if the side ends cannot be autonomous, the cloud layer coordinates the exchange power of each side end, and determines the output regulation and control quantity of the flexible load and the flexible resource by taking the distribution transformer economic operation as an optimization target;
step 4, judging whether the difference between the actual quantity and the regulating quantity is within the error allowable range;
step 5, if the relative error is in the allowable range, outputting a side end regulation and control instruction; and if the relative error is not in the allowable error range, repeating the steps 3 to 4 until the relative error is in the allowable range, and finally outputting the side end regulation and control instruction.
2. The distributed flexible resource coordination control method according to claim 1, wherein said rural energy supply system comprises photovoltaic power generation equipment, energy storage equipment, hydroelectric power generation equipment, and biogas power generation equipment.
3. The distributed flexible resource coordination control method according to claim 1, wherein the flexible load and flexible resource output aggregation model comprises a photovoltaic power generation model, an electrochemical energy storage model, a small hydropower plant model, a biogas power generation model and a ground source heat pump model.
4. The method according to claim 1, wherein the method for determining whether the distribution transformer is heavily overloaded is:
critical power of system when distribution transformer overloadP CP The expression is as follows:
Figure 412596DEST_PATH_IMAGE001
wherein in the formula (I), the compound has the structure shown in the specification,nthe number of the distribution transformer in the side end is changed,S jN is a firstjThe rated capacity of the station distribution transformer,P PV is the output power of the photovoltaic array and,P BAT the energy is stored for the battery to output the power,P W the power is output by the small hydropower station,P BGS the power is output for the power generation of the methane,P F in order to be the flexible load power,P L other load power;
if the critical powerP CP If the power distribution transformation is more than or equal to 0, the distribution transformation does not generate heavy overload, the edge terminal can realize autonomy, and if the critical power is larger than or equal to 0P CP <0, the distribution transformer is overloaded again, and the edge end can not realize autonomy.
5. The method according to claim 1, wherein the method for determining whether the line is heavily overloaded is:
critical current of line current in case of heavy line overloadI CP The expression is as follows:
Figure 454501DEST_PATH_IMAGE002
in the formula (I), the compound is shown in the specification,I N for the magnitude of the rated current of the line,Ithe current flowing through the line is the value of the current flowing through the line;
if critical currentI CP If the line is not overloaded, the edge end can realize autonomy;
if critical currentI CP <0, the line is heavily overloaded, and the edge end cannot realize autonomy.
6. The method according to claim 4, wherein in step 3, if one edge cannot perform autonomous operation due to overload of distribution transformer, it indicates that the edge has a power shortage, other edges coordinate to transmit power to the edge through cloud layer to implement autonomous operation of the edge, and the power is transmitted to ensure that the edge which cannot perform autonomous operation can perform autonomous operation and can perform economic operationP ST The values of (A) are as follows:
Figure 532047DEST_PATH_IMAGE003
in the formula (I), the compound is shown in the specification,k 1 the margin coefficient is set for combining the actual operation conditions of other side ends and is in the range of more than or equal to 0k 1 ≤0.8。
7. The distributed flexible resource coordination control method according to claim 1, wherein in said step 3, if a certain edge cannot perform autonomous operation due to heavy line overload, which indicates that the edge has a power shortage, other edges coordinate to transmit power to the edge through cloud layer, so as to implement autonomous operation of the edge, and transmit power to ensure that the edge which cannot perform autonomous operation performs autonomous operation and can perform economic operationP SI The values of (A) are as follows:
Figure 266785DEST_PATH_IMAGE004
in the formula (I), the compound is shown in the specification,k 2 margin coefficients set for combining actual operation conditions of other side ends are within the range of 0 to lessk 2 ≤0.8，U N Is the nominal voltage of the line.
8. A distributed flexible resource coordination control method according to claim 1, characterized in that, in said step 4, it is determined whether a relative error between the regulated quantity and the actual quantity is within an allowable range, where the allowable range of the error is:
Figure 610042DEST_PATH_IMAGE005
in the formula (I), the compound is shown in the specification,P r in the form of an actual quantity,P o in order to regulate the amount of the enzyme to be used,δis the relative error of the regulated quantity and the actual quantity.
9. An apparatus for implementing the distributed flexible resource coordination control method according to any one of claims 1 to 8, characterized in that the apparatus stores computer program instructions for executing the distributed flexible resource coordination control method.
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