KR20190129511A - Method for power exchange in multi-microgrid - Google Patents

Abstract

According to an embodiment of the present invention, a method of distributing power in a multi-microgrid includes: a step (a) in which an upper controller monitoring and managing a power system by identifying the load and generation condition of each microgrid fulfills a supply and demand restriction condition to match supply and demand for power and adjust the schedule of each microgrid to make increments of a cost function identical if there is a power generation source having a cost function for a fuel cost in each microgrid; a step (b) in which the upper controller adjusts the schedule of each microgrid to regulate supply power supplied from the power system in an upper peak time zone if there is not a power generation source having a cost function for a fuel cost in each microgrid; and a step (c) in which a lower controller autonomously managing each microgrid changes an output schedule based on schedule adjustment information of the upper controller and distributes power in accordance with the changed output schedule. Therefore, the present invention is capable of improving economic feasibility by reducing the power generation of a microgrid having a high cost.

Description

Power Flexibility Method in Multiple Microgrids {METHOD FOR POWER EXCHANGE IN MULTI-MICROGRID}

The present invention relates to a power fusion method in multiple microgrids that performs indirect power fusion through scheduling of each microgrid.

Microgrids can be operated more flexibly through energy supply and stand-alone operation in other networks, making them a decentralized system away from traditional centralized power distribution systems. As the demand for microgrid technology increases, the development of technology for optimal operation and control considering the economics and stability between multiple microgrids is necessary.

Microgrids can be divided into grid-attached microgrids and stand-alone microgrids, depending on whether they are always connected to the power grid. Grid-connected microgrids usually trade power in conjunction with power grids, and can operate separately from the grid in an emergency, providing uninterrupted power to consumers. These grid-connected microgrids can be applied primarily to buildings, campuses, military units, etc., and are aimed at improving the reliability of their customers' supply and pursuing profits through electricity transactions.Independent microgrids are electrically isolated areas (islands, deserts, It was developed for the purpose of supplying electric power to the polar region, etc., and it is constructed by combining the existing diesel power plant, renewable energy (wind power, solar light, etc.) and battery properly.

In general, the power flexibility algorithm of a microgrid system composed of a plurality of cell microgrids can be largely divided into a power flexibility technique for grid linkage operation and a power flexibility technique for independent operation.

Conventional microgrid systems share power through indirect power fusion between premium cell microgrids and normal cell microgrids within the upper feeder during grid linkage.

At this time, each microgrid configures its own output schedule by considering only its own internal components and conditions. Therefore, the microgrid does not consider other loads or individual schedules of surrounding microgrids in the overall view of the multi-microgrid system. And there is a problem that is inappropriate in the medium / large scale power system.

Republic of Korea Patent No. 10-1678857 (name of the invention: real-time power supply, power supply prediction and power sharing control device of the micro grid)

One embodiment of the present invention is to solve the above-mentioned problems of the prior art, by performing a schedule adjustment for the power grid between the microgrid in the host controller through the optimal power fusion with the microgrid and the power system during grid linkage operation It is intended to provide a way to utilize internal power generation more efficiently.

However, the technical problem to be achieved by the present embodiment is not limited to the technical problem as described above, and other technical problems may exist.

As a technical means for achieving the above-described technical problem, the power fusion method in multiple microgrids according to an aspect of the present invention (a) to determine the load and power generation status of each microgrid to perform the power system monitoring and operation If there is a power generation source having a cost function for fuel cost inside each microgrid, the host controller performs supply and demand constraints such that supply and demand for power are matched, and each micro grid is made to have the same increment ratio of the cost function. Performing a schedule adjustment for the grid; (b) if the upper controller does not have a power source having a cost function for fuel cost inside each microgrid, performing a schedule adjustment for each microgrid so that the supply power supplied from the electric power system is adjusted during the upper peak period. And (c) the lower controller autonomously operating each microgrid, changing an output schedule based on the schedule adjustment information of the upper controller, and performing power fusion according to the changed output schedule. In this case, the lower controller performs power fusion and measurement at least one or more unique common coupling points (PCCs), which are connection points with the power system, and the upper controller performs power fusion according to the number of feeders. As the line is added to change the connection relationship of the power system, the power flow is determined based on the connection relationship of the power system, and the power flow is adjusted by the determined power flow.

Wherein step (a) is a power system consisting of a single feeder, (a-1) the upper controller calculates the incremental ratio of the cost function through a gradient method using the supply and demand constraint, Adjusting the output of the power generator based on the incremental ratio of the updated cost function, and recalculating the incremental ratio of the cost function by reflecting the adjusted power output to the supply and demand constraints; (a-2) repeating step (a-1) to set the resultant value as the final incremental value when the incremental value of the cost function converges to one resultant value and (a-3 ) Assigning the final incremental value to each microgrid to change the output schedule according to the final incremental value assigned to each sub-controller.

In the step (b), when the microgrid includes at least one renewable power source and an energy storage system (ESS), and is a power system composed of a single feeder, (b-1) each microgrid Providing the power supply prediction information and the regeneration / load prediction information to the upper controller; (b-2) The upper controller compares the active power prediction value at the common connection point with a preset user setting value based on the supply power prediction information and the regeneration / load prediction information to determine whether a schedule adjustment condition is met. step; (b-3) When the host controller meets the schedule adjustment condition, the peak limit exceeded amount for each microgrid based on input information including supply power prediction information and renewable / load prediction information of each microgrid. And calculating an average load based on the peak limit margin and (b-4) the host controller generates load data by reflecting the calculated average load in load prediction information and transmits the load data to each microgrid. To cause the microgrid to change an output schedule according to the load data.

On the other hand, step (a), in the case of a power system consisting of at least one feeder, determines the peak update possibility of each feeder, and is linked to the feeder having a high peak update possibility in the microgrid associated with the feeder having a low peak update possibility This is to perform feeder peak control to perform power fusion with the microgrid.

According to any one of the above-described problem solving means of the present invention, if the cost function for the fuel cost in the system linkage operation, by adjusting the schedule so that the increment ratio of the microgrids are added in the adjacent microgrid with low power generation cost Power generation can be implemented through power generation to improve the economics by reducing the generation of high-cost microgrid.

In addition, the present invention can perform power fusion in microgrids with a power margin when peak power usage is expected in some microgrids through peak control of the upper feeder when there is no cost function for fuel costs. The overall cost savings from reduced energy peaks can be achieved.

1 is a schematic diagram illustrating an optimal power distribution operation of a microgrid system according to an embodiment of the present invention.
2 is a flow chart illustrating a method of power fusion in multiple microgrids according to an embodiment of the present invention.
3 is a flowchart illustrating a method of adjusting a schedule of an upper controller when there is a power source having a cost function for fuel costs according to an embodiment of the present invention.
FIG. 4 is a conceptual diagram illustrating a method of implementing power flexibility according to FIG. 3.
FIG. 5 is a flowchart illustrating a method for adjusting a schedule of an upper controller when there is no power source having a cost function for fuel costs according to an embodiment of the present invention.
FIG. 6 is a conceptual diagram illustrating a method of implementing power flexibility by adjusting a schedule of an upper controller in a multi-microgrid system including a plurality of feeders according to an embodiment of the present invention.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In the drawings, parts irrelevant to the description are omitted in the drawings, and like reference numerals designate like parts throughout the specification. In addition, while describing with reference to the drawings, even if the configuration shown by the same name may be different according to the drawing number, the drawing number is just described for convenience of description and the concept, features, functions of each configuration by the corresponding reference number Or the effects are not to be construed as limiting.

Throughout the specification, when a part is "connected" to another part, this includes not only "directly connected" but also "electrically connected" with another element in between. . In addition, when a part is said to "include" a certain component, which means that it may further include other components, except to exclude other components unless specifically stated otherwise, one or more other It is to be understood that the present invention does not exclude the possibility of the presence or the addition of features, numbers, steps, operations, components, parts, or combinations thereof.

In the present specification, the term 'part' or 'module' includes a unit realized by hardware or software, and a unit realized using both, and one unit is realized by using two or more pieces of hardware. Two or more units may be implemented by one hardware.

1 is a schematic diagram illustrating an optimal power distribution operation of a microgrid system according to an embodiment of the present invention.

Referring to FIG. 1, the microgrid system is a medium / large scale system, a plurality of cell microgrids (Cell MG), two feeders (Feeder # 1, Feeder # 2), and a circuit breaker installed at a connection point between a power generation stage and a load stage. (Circuit Breaker, CB) and has a hierarchical control structure consisting of a lower layer and a higher layer. In this case, the plurality of cell microgrids may be classified into premium cell microgrids and normal cell microgrids according to the importance of the load.

The lower layer of the microgrid system includes a microgrid energy system (MG EMS) that controls energy production and economic dispatch as the lower controller for operating each cell microgrid. It includes an upper controller (Microgrid of Microgirds Center, MoMC) that performs coordination for optimal operation through cooperation between each lower controller.

The feeder refers to the topology of the system that is connected to the power system, and the actual power flexibility depends on the feeder structure. That is, the microgrid system performs indirect power fusion between the normal cell microgrid and the premium cell microgrid in the upper feeder when it is a single feeder. However, in the case of a microgrid system, when a plurality of feeders is used, a physical line (power fusion line) is added for power fusion between both feeders so that the connection relationship of the power system is changed, and based on the changed connection relationship of the power system. By the set power flow (Power Flow) to perform power fusion.

At this time, the power fusion can be classified into six types according to the structure of the feeder, the first form of indirect power fusion of a single feeder in the system linkage operation, the second form of indirect power fusion of multiple feeders in the system linkage operation , The third type in which VPP (Virtual Power Plant) adjustment is made when there are no linkage circuits between the feeders in the plurality of feeders in the system linkage operation, the fourth form in which the direct power flexibility of the multiple feeders is made in the system linkage operation, and the independent operation It can be classified into a fifth form in which time indirect power fusion occurs and a sixth form in which direct power fusion occurs during independent operation.

Each microgrid is building a network to share power with each other, and manages and shares energy such as energy storage (ESS), renewable energy, vehicle to grid (V2G), working load, and intelligent load to store energy. It may include various types of system components for the purpose.

These microgrids transmit power generation and load conditions, including production and power consumption, to the upper controller as input information, and the upper controller efficiently manages the power generation facilities within each microgrid by sharing information with the lower level microgrid. In addition, cooperation among microgrids enables power flexibility to improve economics and reliability.

2 is a flow chart illustrating a method of power fusion in multiple microgrids according to an embodiment of the present invention.

As shown in Figure 2, the host controller collects the information on the load and the power generation state from each microgrid for monitoring and control of the entire multiple microgrid (S210).

The upper controller checks whether there is a power source having a cost function for fuel cost inside each microgrid (S220). If there is a power source with a cost function for fuel costs, the host controller enforces supply and demand constraints to ensure that supply and demand for power are consistent, and adjusts the schedule for each microgrid so that the increments of cost functions are the same. It performs (S230).

On the other hand, if there is no power source having a cost function for fuel cost inside each microgrid, the upper controller performs schedule adjustment for each microgrid so that the supply power supplied from the power system is adjusted at the upper peak time (S240). ).

The lower controller changes the output schedule based on the schedule adjustment information of the upper controller and then performs indirect power flexibility according to the changed output schedule (S250). At this time, each lower controller performs power fusion at least one or more common point of connection (PCC) that is a connection point with the power system.

According to an embodiment of the present invention, a power fusion method in multiple microgrids has a form of power fusion depending on the presence or absence of a power source having a cost function value for fuel cost in each microgrid and a feeder structure.

First, FIG. 3 is a flowchart illustrating a method of adjusting a schedule of an upper controller when there is a power source having a cost function for fuel cost according to an embodiment of the present invention, and FIG. 4 is a method of implementing power flexibility according to FIG. It is a conceptual diagram explaining.

Referring to FIGS. 3 and 4, in the case of a power system configured with a single feeder, the multi-microgrid includes a normal cell microgrid, a premium cell microgrid, and a load in a single feeder (Feeder # 1). do. In this case, the load means all elements in the feeder except the normal cell microgrid and the premier cell microgrid.

The upper controller performs supply and demand constraints such that the supply and demand for power are the same for the entire multi-grid system (S310). Since each microgrid has a cost function for the fuel cost, it is configured to make the increment of the cost function the same when constructing its output schedule, which is the increment of the microgrid.

The upper controller calculates the incremental ratio of the cost function through a gradient method using the supply and demand constraint, and adjusts the output of the power generation source based on the incremental ratio of the calculated cost function (S320 and S330). The host controller recalculates the incremental ratio of the cost function by applying the adjusted adjusted power generation output to the supply and demand constraint (S340).

The upper controller repeats the above-described steps (S320, S330, and S340) until the increment ratio of the cost function converges to one result value, and when the increment ratio value of the cost function converges to one result value, The resultant value is set as the final increment ratio value (S350, S360).

The upper controller assigns a final increment ratio value to each microgrid to adjust the schedule of each microgrid, and thus each lower controller changes the output schedule according to the final increment ratio assigned to it (S370).

In grid-linked operation, when each microgrid configures the output schedule only considering its internal grid components and conditions, optimal operation cannot be achieved from a system-wide perspective. Therefore, the host controller can identify the power generation and load in all microgrids, match the demand and supply through power fusion between microgrids, balance the balance among multiple microgrids, and optimize power mobilization in PCC to realize economic operation. Can be.

On the other hand, when the grid is operated in a single feeder power grid, when the microgrid uses an energy storage system (ESS) with at least one renewable source, there is a cost function for the fuel cost inside the microgrid. Since the host controller does not apply the schedule adjustment method of FIG. 3 to the corresponding power system.

As such, if there is no cost function for fuel cost inside each microgrid, the upper controller is configured to depend on the grid price depending on the grid price. Need to be adjusted.

If each microgrid connected to a single feeder is configured only in consideration of its own load curve and power generation sources, there is a risk that the peak is updated in the PCC of the feeder measuring the actual peak power.

For example, as shown in FIG. 4, the schedule of the normal cell microgrid and the premium cell microgrid only considers the supply power measured by the PCC of ① and ②, and selects peaks of other loads or the upper feeder Feeder # 1. It is configured without consideration.

Therefore, when measuring the actual peak at the position of the upper feeder (Feeder # 1), there is a possibility that the peak is updated by different loads and individual schedules of the normal cell microgrid and the premium cell microgrid. For this reason, the upper controller must adjust the schedule of each microgrid in consideration of the peak time zone.

FIG. 5 is a flowchart illustrating a method for adjusting a schedule of an upper controller when there is no power source having a cost function for fuel costs according to an embodiment of the present invention.

Referring to FIG. 5, each microgrid configures an internal schedule using internal loads and available power sources, and provides supply power prediction data and renewable / load prediction data for power to be supplied to a power system to an upper controller. (S510).

The host controller compares the active power prediction value in the PCC with a preset user setting value based on the supply power prediction data and the new / renewable / load prediction data to determine whether the schedule adjustment condition is satisfied (S520 and S530). In addition, the host controller determines whether each microgrid is a spare microgrid to perform power fusion or an insufficient microgrid to receive power fusion, and assigns an index to each microgrid.

At this time, the schedule adjustment condition is a case where the active power prediction value in the PCC exceeds the user setting value, and a situation in which the active power prediction value in the PCC exceeds the user setting value occurs at the expected peak time of the upper feeder. The second condition is assumed.

The upper controller does not perform power fusion if all the microgrids do not meet the first and second conditions, i.e. all the microgrids do or do not exceed the user set value of the active power estimates in the PCC ( S540).

For example, as shown in FIG. 4, the schedule adjustment condition that satisfies the first condition is when the active power prediction value in the PCC of ① exceeds the user setting value, and the active power prediction value in the PCC of ② is set by the user. Do not exceed the value. That is, when there are N microgrids in the upper feeder, if the M microgrids have active power estimates in the PCC exceeding the user set value, the (NM) microgrids have active power estimates in the PCC exceeding the user set value. Should not.

When the host controller satisfies both the first condition and the second condition, the host controller determines that the schedule controller corresponds to the schedule adjustment condition, and based on input information including supply power prediction data and renewable / load prediction data of each microgrid, power flexibility The amount is calculated to adjust the schedule of each microgrid (S540).

The host controller calculates the peak limit excess of the under microgrid and the peak limit margin of the spare microgrid, and calculates the modified load of the underserved microgrid reflecting the calculated power flux and the modified load of the spare microgrid reflecting the power flux. The output data is sent to each subordinate controller.

The host controller calculates an average load based on the peak limit excess amount and the peak limit margin amount for each microgrid, and generates new load data for schedule adjustment by reflecting the calculated average load amount in the load prediction data. S560) the host controller transmits load data to each microgrid so that the microgrid changes the output schedule according to the load data.

At this time, the user set value includes the total number of microgrids, the total number of scheduling time-steps, the time interval of the upper feeder, the peak time limit of the upper feeder, and the average load amount of time of the upper feeder.

The input information input to the database includes a scheduling completion signal, a schedule value for each distributed time zone of each microgrid, an ESS time zone forecast value for each microgrid, a PV time zone forecast value for each microgrid, and a load time forecast value for each microgrid. do.

The upper controller calculates a limit value of each microgrid as a ratio of the average load of each microgrid to the average load of the upper feeder, and confirms through the scheduling completion signal that the individual schedule of each lower controller is completed. In addition, the upper controller may calculate an active power prediction value for each microgrid in the PCC using the power generation schedule, the ESS schedule, the load prediction data, and the PV prediction data of each lower controller.

As such, the host controller may adjust the schedule in consideration of the load amount of the microgrid instead of one microgrid by reflecting the power flux in the load prediction data.

For example, as shown in FIG. 4, the normal cell microgrid may share the power margin of the normal cell microgrid with the premium cell microgrid by adjusting a schedule for power distribution to supply insufficient power of the premium cell microgrid. Can be. Therefore, while the power flow of the upper feeder is maintained not to exceed the peak, the power flow supplied to the PCC of ① decreases, and the power flow supplied to the PCC of ② increases.

If the schedule adjustment for power fusion is not made in the host controller, the power flow supplied to the PCC of ① is not reduced, and there is a risk that the power flow of the upper feeder will exceed the peak, which is caused by the base rate increase due to the peak. It is a factor of low economic feasibility.

The host controller adjusts the schedule of multiple microgrids for power flexibility, ensuring optimal operation of the entire system while ensuring autonomous operation of each microgrid.

FIG. 6 is a conceptual diagram illustrating a method of implementing power flexibility by adjusting a schedule of an upper controller in a multi-microgrid system including a plurality of feeders according to an embodiment of the present invention.

As shown in FIG. 6, in a multiple microgrid system composed of multiple feeders, each microgrid is supplied with power from the power system through its own PCC, and the measurement of the supplied power is performed in the unique PCC. Microgrids pay their own bills.

In a multi-microgrid system composed of multiple feeders, the host controller identifies power generation and load in all microgrids as described in FIG. At the same time, the schedules can be adjusted so that the increments of each microgrid are the same, so that they can be balanced within multiple microgrids and optimize power flexibility in the PCC.

Multiple microgrid system consisting of a plurality of feeders, except for the individual PCC, there is a power fusion line 600 for power fusion from microgrids belonging to other feeders.

Thus, the host controller adjusts the schedule through feeder peak control, which feeds power to the microgrid associated with the feeder that is likely to update the peak by the microgrid associated with the feeder that is unlikely to update the peak according to the condition of each feeder. Do this.

Such a schedule adjustment of the host controller allows one microgrid to supply power to the microgrid associated with the other feeder without changing the power flow in the PCC.

For example, the 1-1 microgrid 611 and the 1-2 microgrid 612 are connected to the first feeder Feeder # 1, and the 2-1-1 to the second feeder Feeder # 2. In the state in which the microgrid 621 is linked, it is assumed that the peak of the first feeder Feeder # 1 is unlikely to be updated and the peak of the second feeder Feeder # 2 is likely to be updated.

Accordingly, the host controller is configured to perform the power fusion through the power fusion line 600 to the 1-2 microgrid 612 associated with the first feeder to the 2-1 microgrid 621 associated with the second feeder. Adjust the schedule.

In this case, the multi-microgrid system composed of a plurality of feeders requires a review of protection coordination, operating systems, and facilities in advance since a low voltage loop distribution structure is formed, and a phase measuring unit (PMU) is provided at both ends of the power fusion line. As such, equipment for monitoring the system status by measuring the phases at both ends of the bus should be added.

Alternatively, a multi-microgrid system consisting of a plurality of feeders can be used to control effective / invalid power control and power quality compensation, remote control and monitoring, grid connection / single operation, and battery control on the power line. It can also be installed directly to perform power fusion through the battery.

The power flexibility method in the multiple microgrid according to the embodiment of the present invention described above may be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. Such recording media includes computer readable media, and computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, computer readable media includes computer storage media, and computer storage media are volatile and nonvolatile implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Both removable and non-removable media.

The above description of the present invention is intended for illustration, and a person of ordinary skill in the art may understand that the present invention can be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

In addition, while the methods and systems of the present invention have been described in connection with specific embodiments, some or all of their components or operations may be implemented using a computer system having a general purpose hardware architecture.

The scope of the present invention is shown by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. .

MOMC: Upper Controller MG EMS: Lower Controller
Cell MG: Cell Microgrid

Claims (11)

In the method of power flexibility in multiple microgrids,
(a) The host controller that monitors and operates the power system by identifying the load and generation status of each microgrid, if there is a power source in each microgrid that has a cost function for fuel costs, supply and demand for power. Performing a supply and demand constraint such that is matched, and performing a schedule adjustment for each microgrid such that the increment ratio of the cost function is the same;
(b) if the upper controller does not have a power source having a cost function for fuel cost inside each microgrid, performing a schedule adjustment for each microgrid so that the supply power supplied from the electric power system is adjusted during the upper peak period. And
(c) the lower controller autonomously operating each microgrid includes changing an output schedule based on the schedule adjustment information of the upper controller, and performing power fusion according to the changed output schedule,
The lower controller performs power fusion and measurement at least one or more unique point of common coupling (PCC) that is a connection point with the power system,
The host controller determines the power flow based on the connection relationship of the power system as the power fusion line is added according to the number of feeders and the connection relationship of the power system is changed, and the determined power is determined. A method of power scaling in multiple microgrids, wherein the power scaling is scheduled to be performed by a flow. The method of claim 1,
Where step (a) is a power system consisting of a single feeder,
(a-1) The host controller calculates an incremental ratio of the cost function through a gradient method using the supply and demand constraint, and outputs the power source based on the incremental ratio of the updated cost function. Recalculating an incremental ratio of the cost function by reflecting the adjusted power generation output to the supply and demand constraint;
(a-2) repeating step (a-1) to set the resultant value as the final incremental value when the incremental value of the cost function converges to one resultant value; and
(a-3) assigning the final incremental value to each microgrid so that each sub-controller changes the output schedule in accordance with the final incremental value assigned to it. Flexibility way. The method of claim 1,
In the step (b), when the microgrid includes at least one renewable power source and an energy storage system (ESS), and is a power system composed of a single feeder,
(b-1) each microgrid providing supply power prediction information and renewable / load prediction information to the host controller;
(b-2) The upper controller compares the active power prediction value at the common connection point with a preset user setting value based on the supply power prediction information and the regeneration / load prediction information to determine whether a schedule adjustment condition is met. step;
(b-3) When the host controller meets the schedule adjustment condition, the peak limit exceeded amount for each microgrid based on input information including supply power prediction information and renewable / load prediction information of each microgrid. And calculating an average load based on the peak limit margin and
(b-4) The host controller generates load data by reflecting the calculated average load amount in the load prediction information, and transmits the load data to each microgrid so that the microgrid changes an output schedule according to the load data. Power distribution method in multiple microgrids. The method of claim 3, wherein
In the step (b-1), the schedule of the renewable power generation source, the schedule of the energy storage device, the load prediction data, and the photovoltaic (Phtovoltaic, PV) prediction data are transmitted to the host controller as input information in each microgrid.
(B-2) wherein the higher level controller further includes calculating a time-phase effective power prediction value at a common connection point of each microgrid based on the input information. The method of claim 3, wherein
In step (b-2), the schedule adjustment condition is
As a first condition, the active power prediction value at the common connection point exceeds a user setting value.
And a second condition occurs when a situation in which the active power prediction value at the common connection point exceeds a user set value occurs at an expected peak time of the upper feeder. The method of claim 5,
Step (b-3) is
If all the microgrids do or do not exceed the user set value when the active power prediction value at the common connection point does not correspond to the schedule condition, and does not perform power fusion,
And at least one microgrid among the multiple microgrids performs power fusion in response to the schedule adjustment condition when the at least one microgrid satisfies the first and second conditions. The method of claim 3, wherein
If step (b-3) corresponds to the schedule adjustment condition,
It is determined whether each microgrid is a spare microgrid, which is a power supply target, or a short microgrid, which is a power supply target, and an index is assigned to each microgrid according to the determination result.
And calculating the peak limit excess of the insufficient microgrid and the peak limit margin of the spare microgrid. The method of claim 7, wherein
The load data includes a modified load amount of the shortage microgrid and a modified load amount of the spare microgrid,
And wherein the host controller causes the power margin according to the modified load amount of the spare microgrid to be power-flexed by the modified load amount of the insufficient microgrid at the peak occurrence time of the used power. The method of claim 1,
If the step (a) is a power system composed of at least one feeder,
Determine feeder peak updateability of each feeder, and perform feeder peak control to perform power fusion from the microgrid associated with the feeder with low peak updateability to the microgrid associated with the feeder with high peak updateability. Power flexibilization method in multiple microgrids. The method of claim 8,
A power fusion line for power fusion is installed between the feeders, and further includes a phase measurement unit (Phasor Measurement Unit) for monitoring a system state by measuring a phase at both ends of the power fusion line. Flexibility way. The method of claim 8,
A power fusion line for power fusion is installed between the feeders, and is installed between the feeder and the microgrid, and further includes a power conditioning system (Power Conditioning System) and a battery for direct power fusion on the power fusion line. Power Flexibility Method in Microgrids.

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