KR20230092406A - Voltage control device for conservation voltage reduction through voltage optimization control based on load prediction model - Google Patents

Abstract

The system control device of the present invention receives continuous power data in real time from a power distribution panel and a power receiving system node that distributes power supplied from the power system to a plurality of power receiving system nodes, and receives conservation voltage drop (CVR, conservation) of the receiving system node. It may include a management server including a control unit that generates a load prediction model that calculates a recommended voltage for voltage reduction, and a voltage regulator that receives the recommended voltage from the control unit and controls the voltage of the power distribution board or the voltage of the power receiving system node. there is.

Description

Voltage control device for conservation voltage reduction through voltage optimization control based on load prediction model}

The present invention relates to a voltage control device for preserving voltage drop through voltage optimization control based on a load prediction model using machine learning.

Voltage reduction may include CVR (conservation voltage reduction), EVR (emergency voltage reduction), and RVR (routine voltage reduction) depending on the purpose of implementation, and CVR can be mainly used in terms of reducing load demand by voltage reduction.

Conservation voltage drop (CVR) may be used as one of energy reduction technologies including energy consumption reduction and peak load reduction for efficient and stable power supply, and conservation voltage drop may reduce power consumption by reducing feeder voltage. there is. That is, the CVR for stably and efficiently supplying power to the distribution network can be used in an emergency such as an imbalance in supply and demand by reducing power consumption by reducing the size of a load by lowering the voltage.

In the past, most of the power exchanges or power plants supplying or controlling power to the power system have unilaterally lowered the voltage for reasons such as power peaks to consumers, but recently, new power to systems including solar power or V2G has been implemented. The emergence of supply sources has increased the need to implement maintenance voltage sag in the vicinity of nodes in the utility grid.

The present invention can generate a load prediction model using machine learning for the maintenance voltage drop implemented at the node of the power receiving system, and control the voltage to the lowest section within the allowable range based on the load prediction model.

The present invention collects high-speed facility data necessary for machine learning-based Conservation Voltage Reduction (CVR), which reduces electricity costs by reducing power factor along with power factor improvement through voltage management of power consumer facilities, at the same time as the desired location economically and efficiently We want to provide a system that can do that.

The system control device of the present invention receives continuous power data in real time from a power distribution panel and a power receiving system node that distributes power supplied from the power system to a plurality of power receiving system nodes, and receives conservation voltage drop (CVR, conservation) of the receiving system node. It may include a management server including a control unit that generates a load prediction model that calculates a recommended voltage for voltage reduction, and a voltage regulator that receives the recommended voltage from the control unit and controls the voltage of the power distribution board or the voltage of the power receiving system node. there is.

The voltage control device of the present invention can predict voltage fluctuations of nodes of a power system connected to a power system in real time so that the voltages of the nodes can be operated in the lowest section while remaining within the allowable range.

The voltage control device of the present invention can stably operate the voltage within an optimal operating period in consideration of future voltage distribution by predicting the voltage of the load.

The voltage control device of the present invention promotes voltage stabilization by using a method of predicting future voltage in order to minimize loss due to undervoltage and overvoltage caused by voltage regulation based on the current voltage, and maintains the lowest voltage within the allowable range. Conservation voltage drop effect can be obtained.

1 is an embodiment of a voltage control device of the present invention.
2 is another embodiment of the voltage control device of the present invention.
3 is a flow chart of the load prediction model of the present invention.
4 is an explanatory diagram of the predicted voltage of the present invention.
5 is a flowchart of voltage control of a node by the voltage regulator of the present invention.

Conservation voltage reduction (CVR) may be reducing the power consumed by the load by lowering the voltage supplied to the load.

Conservation voltage drop (CVR) may be used as one of energy reduction technologies including energy consumption reduction and peak load reduction for efficient and stable power supply, and conservation voltage drop may reduce power consumption by reducing feeder voltage. there is. In other words, the voltage drop (CVR) for stably and efficiently supplying power to the distribution network can be used in emergencies such as supply-demand imbalance by reducing power consumption by reducing the size of the load by lowering the voltage.

In the past, the reserve voltage drop (CVR) was mainly operated in a way that the power supply side unilaterally reduces the power consumed by consumers when peak demand occurs. However, in recent years, new power supply sources such as photovoltaic or V2G systems have emerged, and accordingly, consumers' loads do not simply consume power by receiving power from the previous power system, but also generate or store energy in the power system. can function to supply. Therefore, the need to implement a maintenance voltage drop in the vicinity of the node of the power receiving system is increasing.

The voltage control device of the present invention predicts voltage fluctuations of various loads (L1 to Ln) connected to the power system 10 in real time so that the voltages of the loads are within the allowable range and can be operated in the lowest section.

The management server 400 may include at least one of a predicted voltage calculation unit 420, an adjusted voltage calculation unit 440, and a control unit 460. The voltage control device of the present invention may include at least one of the switchgear 100 , the voltage regulator 200 , and the main measuring device 300 .

Power supplied from the power system 10 may be distributed to each node of the power reception system including the loads L1 to Ln through the power line 30 and the switchgear 100 .

The switchboard 100 may distribute power supplied from the power system 10 to nodes of the power reception system including the loads L1 to Ln. The main measuring device 300 may measure the power status of the switchgear 100 and individual power statuses of nodes connected to the switchgear 100 . The voltage regulator 200 receives the recommended voltage for preservation voltage drop (CVR) from the control unit 460 of the management server 400 and controls the voltage of the switchboard 100 or the voltage of the nodes L1 to Ln of the power reception system. can

Since the voltage regulator 200 exists above the loads L1 to Ln, the voltages of all loads may change at the same rate at the same time when the voltage is adjusted. Each of the load nodes L1 to Ln may show different voltage distributions due to the distance from the voltage regulator 200 and the characteristics of the device. Accordingly, the control command transmitted from the control unit 460 to the voltage adjusting unit 200 may reflect all power conditions of power reception system nodes connected to the voltage adjusting unit 200 . For example, when it is determined that the voltage of the first load (L1) is decreased and the voltage of the second load (L2) is determined to be increased, the control unit 460 may direct the voltage regulator 200 to maintain the voltage.

In addition, the voltage control device of the present invention can induce a more stable voltage distribution by controlling the voltage by observing the future voltage fluctuation, rather than adjusting the voltage only in the current power state.

Therefore, the voltage control device of the present invention predicts the voltage of each node, examines the future voltage pattern, estimates the adjustable voltage, and finally, the control unit 460 transmits the recommended voltage to the voltage adjusting unit 200. can The recommended voltage may be within an allowable range for facility operation of each node. If the equipment of the node including each load (L1 to Ln) is operated out of the allowable voltage range, the lifespan of the equipment may be shortened or the possibility of failure may increase.

An optimal operating period for the preservation voltage drop (CVR) may be set (S100), and the recommended voltage may be included in the optimal operating period. Accordingly, the recommended voltage may be a value or a range within an optimal operating period. The voltage regulator 200 may adjust the grid voltage with the received recommended voltage.

The lowest voltage within the permissible range can be included in the optimal operating period, and when the facilities of each node are operated at the lowest voltage within the permissible voltage range, a conservation voltage drop (CVR) effect can be obtained.

On the power supply side for supplying or distributing power to the power system 10, a power exchange that can supply power to the power system or issue a demand response (DR) issue when necessary, or a power exchange produced by the power exchange, such as KEPCO A power plant that supplies power may be included.

On the side receiving or receiving power from the power system 10, real-time reduction control and remote management in relation to the consumer who is a power consumer or the consumer can be performed, and demand resources can be recruited, registered, or managed in relation to the power exchange. Demand management service providers may be included. A consumer may be a subject of power consumption and may be a subject of a new supply source that supplies power to a system including solar or electric vehicles. Consumers may be owners or users of each load (L1 to Ln) of the present invention, and may belong to individual consumers in a group unit including a plurality of loads. The demand management service provider is located between the power supply side and the consumer based on the power system 10 and can control power supplied to the consumer through the power system 10 .

The voltage control device of the present invention may be one in which a demand management service provider controls a node of a power receiving system. The nodes of the power reception system include the switchgear 100, the voltage regulators 210 and 220, the main measurement device 300, the data collection unit 500, the data storage unit 600, or the measuring devices provided for each load (L1 to Ln) ( L1a ~ Lna) may mean at least one.

It is important to accurately calculate the voltage of the node for each load of the power consumer. A power customer may mean a subject that receives power distributed in a switchboard, and a location may mean a place that receives power distributed in a switchboard, but the power consumer and a location may be used interchangeably.

The power consumer can send and receive electricity from the power system 10, and the electricity consumer can receive electricity from the power system 10 through the switchboard. The electricity distributed in the switchboard can be distributed to the loads (L1 to Ln) of each location.

The number of switchboards may increase according to the complexity of the loads L1 to Ln, and the switchboard 100 may include a first switchboard or a second switchboard. The switchboard 100 may be prepared before distribution from the power system 10 to each location. In the drawings, only the first switchboard among the switchboards may be shown.

The first switchboard may be the first switchboard encountered in the power path from the power system 10 to the loads L1 to Ln, and the second switchboard may be among the power paths from the power system 10 to the loads L1 to Ln. It may be a switchboard that distributes power directly to loads (L1 to Ln).

In the first switchboard or the second switchboard, an Air Circuit Breaker (ACB), a power breaker using air of a low-voltage power circuit, a Vacuum Circuit Breaker (VCB), a power breaker using vacuum of a high-voltage power circuit, and a voltage of a high-voltage circuit to a low voltage. A Potential Transformer (PT) capable of measuring various electrical data by lowering the current, or a Current Transformer (CT) converting the current of a large current circuit into a small current to measure current data may be included.

When the first switchboard is a higher layer closer to the power system than the second switchboard, the first switchboard may include a VCB and the second switchboard may include an ACB. That is, both VCB and ACB are circuit breakers, VCB can use vacuum as the medium inside the circuit breaker, and can be used for the high voltage side, which is the primary side of the transformer, ACB can use air as the medium inside the circuit breaker, and can be used for the secondary side of the transformer. Alternatively, it can be used on the side of large loads (L1 to Ln).

Accordingly, the demand management service provider can control power through the first switchboard and the second switchboard, and can manage the total demand of the target electric power consumer by grasping the power status of the load in real time.

When the complexity of the loads L1 to Ln increases, a third switchboard may be provided between the first switchboard and the second switchboard. A transformer may be provided between the power system 10 and the third switchboard, and a separate transformer may be provided between the second switchboard and the third switchboard. The transformer 50 may be provided between the power system 10 and the first switchboard or between the first switchboard and the third switchboard. To reduce power loss due to low voltage transmission, a second transformer formed between the third switchboard and the second switchboard may be installed close to the second switchboard.

For example, if the transformer 50 is installed before being connected to a node located at the end of the grid and the node is for an industrial plant, the transformer 50 may receive a primary input of 6.6KV and convert the secondary output to 380V. . In addition, when the transformer 50 is a higher layer than the end of the grid, the transformer 50 may receive a primary input of 22.9KV and convert a secondary output to 6.6KV. In this way, the transformer 50 may refer to one of the transformation facilities installed before the switchboard 100 that distributes power.

According to the first embodiment of the present invention, power data for each load (L1 to Ln) can be transmitted to the switchboard 100. The transmitted power data of each load (L1 to Ln) may be transmitted to the management server 400 through the communication line 40 together with the power data of the main measuring device 300 measuring the overall power status of the first switchgear. there is.

Since installing one expensive power analyzer in each location can be expensive, install low-cost measuring devices (L1a to Lna) in all places where measurement is required, such as loads (L1 to Ln) and switchgear, to obtain power data. The cost of collecting and analyzing can be reduced. The present invention can provide a method for collecting data without affecting work by employing sensors capable of working without interruption in installing the measuring devices L1a to Lna.

Therefore, according to the second embodiment of the present invention, the measuring devices L1a to Lna may be installed in all loads L1 to Ln and all switchboards in each location. Since power data can be collected at high speed using the real-time measurement information of the measuring devices (L1a to Lna) in units of seconds or units of minutes, the present invention can simultaneously identify demand resources including real-time voltage conditions of each location, Through this, it is possible to accurately analyze the overall demand resource status of the target electricity consumer.

Power data of nodes including the switchboard 100 and the loads L1 to Ln may be collected by the data collection unit 500 through the communication line 40 . For example, power may be supplied to each of the loads L1 to Ln through the switchboard 100, and measurement devices L1a to Lna may be provided in each of the loads L1 to Ln. The power data of the measuring devices L1a to Lna connected to the switchboard 100 and the power data of the measuring devices L1a to Lna connected to the loads L1 to Ln supplied with electricity from the switchboard 100 are stored in the data collection unit ( 500) can be sent.

Power data collected by the data collection unit 500 may be transmitted to the management server 400 through wireless communication through a communication modem. Accordingly, all power data of each load L1 to Ln may be transmitted to the management server 400 .

A data storage unit 600 capable of storing past power data collected by the data collection unit 500 may be provided. The load prediction model of the present invention may calculate future power prediction data using past power data of each load L1 to Ln stored in the data storage unit 600 .

When the management server 400 continuously receives power data in real time from nodes of a power receiving system, the data collection unit 500 and the data storage unit 600 may be included in the management server 400 . When the management server 400 intermittently receives power data from a node of a power receiving system only when a maintenance voltage drop is required, the data collection unit 500 and the data storage unit 600 may be included in a power customer or location.

In the case of the first embodiment disclosed in FIG. 1, the data collection unit 500 and the data storage unit 600 may be included in the management server 400, and in the case of the second embodiment disclosed in FIG. 2, the data collection unit 500 and the data The storage unit 600 may be included in a power customer or location separately from the management server 400 .

In the case of Embodiment 1, the customer can simplify the voltage control command execution and measurement, and unify data management by transmitting all continuously generated power data to the management server 400. In the case of Example 2, if the power data transmitted to the management server 400 is too large according to the number of loads, traffic induction or delay problems may occur. ) and the data storage unit 600, and data management can be dualized by transmitting power data to the management server 400 when a necessary event such as a voltage drop occurs.

In the case of controlling the nodes of the receiving system based only on the current voltage without knowing how the future voltage distribution will be distributed, the current voltage of each node is higher than the optimal operating period, so the voltage is adjusted. After a few minutes, the voltage decreases as the load usage increases. Doing so may result in a lower than optimal operating range and may result in an undervoltage hazard.

That is, a situation in which optimal control cannot be performed may occur because the aspect of the future voltage cannot be grasped. In this case, maintenance may be an optimal control method that can extend the life of the voltage regulator along with the voltage stabilization effect.

Therefore, the voltage control device of the present invention can stably operate the voltage within an optimal operating period in consideration of future voltage distribution by predicting the voltage of the loads (L1 to Ln). That is, in order to minimize loss due to undervoltage and overvoltage caused by voltage regulation based on the current voltage, voltage stabilization is promoted by using a method of predicting future voltage, and preservation voltage drop (CVR) is maintained by maintaining the lowest voltage within the allowable range. ) effect can be obtained.

The voltage control device of the present invention may include a management server 400 that receives power data of power reception system nodes and transmits a recommended voltage to the voltage regulator 200 capable of controlling the voltage of each node.

Since the voltage or power of each node of the power distribution system fluctuates in real time, adjusting the voltage based on the present may cause problems in the future. The voltage was raised because it was determined that the voltage should be raised based on the current, but if the voltage rises due to a change in power usage, the voltage may need to be lowered again. In this case, overvoltage may be caused due to voltage regulation. In other words, if the future power situation is not considered, it may not be operated optimally.

The controller 460 may generate a load prediction model that calculates a recommended voltage for a maintenance voltage drop (CVR) using past power data of the loads L1 to Ln (S200). The load prediction model may include all of a series of processes from past power data to calculating a recommended voltage.

When several loads exist in the power system 10, the voltage may be different for each load due to characteristics and distances of the loads. In addition, a node of a power receiving system including a load may have a condition to be operated in an allowable voltage range. If operated outside the allowable voltage range, the lifespan of the node equipment may be shortened and the possibility of failure may increase.

When the present invention is operated at the lowest voltage within the allowable voltage range, a preservation voltage drop effect can be obtained. Even if the voltage of the node is lowered to the recommended voltage with the retention voltage drop, the operation of the equipment of the node may not be affected. Consumers or consumers can save charges by reducing power as much as the voltage is lowered.

In order to maintain the voltage of the facility in the low voltage section, if the future voltage is known, it can respond in advance, so that it can be stably operated in the low voltage section. If the voltage is adjusted based on the current, there may be a problem of overvoltage or undervoltage that would not have occurred if the adjustment was not performed, so the predicted voltage calculation unit 420 considers the future voltage and calculates the voltage change of the load to adjust the voltage. can be predicted in real time (S220).

Each past power data of the node may be transmitted from the data collector 500 or the data storage unit 600 to the predicted voltage calculator 420 .

Appropriate conservation voltage drop data may be required to predict or estimate the conservation voltage drop (CVR) from past measured power data. The data for the preservation voltage drop (CVR) may provide information including at least one of voltage, active power, reactive power, and tap position for each predetermined time unit. The data measured for each load has a small amount of data and is relatively easy to process, and data reconstruction can be minimized by providing data for each time period, so it can be suitable for estimating the preservation voltage drop (CVR) in terms of data accuracy and program efficiency. Due to the nature of measurement data, partial data correction may be required when data is leaked.

The control unit 460 may set an allowable voltage range suitable for operation of the node facility, and the control unit 460 may set an optimal operating section included in the allowable voltage range (S100). Since the optimal operation period is for reducing power consumption, it may be included in a lower period of the allowable voltage range.

Machine learning methods used by the predicted voltage calculation unit 420 to predict the voltages of the loads L1 to Ln include kernel regression, autoregressive (AR), or moving average (MA) ) may be included.

Hereinafter, in machine learning, a current value or a current voltage value may mean a value that can be calculated or predicted from past power data through machine learning.

Kernel regression can be a non-parametric technique for estimating the conditional expectation of a random variable, and the goal can be to find a non-linear relationship between a pair of random variables X and Y. Kernel regression can be finding the conditional expectation of variable Y with respect to variable X in non-parametric regression.

This can be expressed as Equation 1 below.

The X may be an input value and Y may be a target value. In time series prediction, X is a past history of a node including a load and may be a voltage value included in past power data, and Y may be a current voltage or a predicted future voltage of the node. E may be a symbol representing an expected value, and | can indicate a condition. That is, E(Y|X=x) may represent an expected value of Y when X=x.

m is a function representing a non-linear relationship between X and Y and may be a value to be estimated through past power data. An embodiment of a method of estimating function m is as follows.

은 데이터를 통해 추정된 함수 m을 의미할 수 있고, x에 근접한 데이터를 이용한 가중 평균을 의미할 수 있다. K(x-xi)=wi라고 생각하면 수학식 2는 다음과 같이 생각될 수 있다. Wi는 가중치를 의미할 수 있고, (xi,yi)는 입력값(X), 목표값(Y)에 포함되는 샘플을 의미할 수 있다. 여기서는 x_i는 과거 전압값, yi는 현재 전압값(시간적으로 xi이후에 나타나는 값)이라 할 수 있다.

may mean a function m estimated through data, and may mean a weighted average using data close to x. Considering that K(x-xi)=wi, Equation 2 can be considered as follows. Wi may mean a weight, and (xi, yi) may mean a sample included in the input value (X) and target value (Y). Here, x _i may be a past voltage value, and yi may be a current voltage value (a value temporally appearing after xi).

을 wi의 함수로 표현하면, 수학식 3으로 표현될 수 있다.thus,

When is expressed as a function of wi, it can be expressed as Equation 3.

When there is a weight for yi, the weighted average of yi can be obtained through Equation 3. In kernel regression, the weight may be a kernel function K having a bandwidth (bandwith, h). The kernel function may typically be a Gaussian kernel.

Autoregressive (AR) can refer to a model in which the present value linearly depends on its past value and has an error term in univariate time series analysis. Therefore, among the autoregressive models, the AR(p) model refers to a model that affects the current voltage value up to the voltage value at the time point p in the past and can be expressed as follows.

Zt is a current time-series value, and Zt-n is a time-series value before point n, which may be a past voltage value or a past power value. φp may be an error term. φp may be a coefficient of a past time series value (Zt-p) and may indicate an influence on Zt. The simplest form of the AR model can be the AR(1) model, and the AR(1) model can represent the current value with a value from a point in the past and an error term. The AR(1) model can be expressed as Equation 5.

A moving average (MA) model may be a model in which the current value linearly depends on its past error value in univariate time series analysis and has an error term. Among the moving average models, the MA(p) model refers to a model that affects the current value up to the error value of the past time point p and can be expressed as in Equation 6.

에 미치는 영향력을 나타낼 수 있다. MA 모형의 가장 간단한 형태는 MA(1) 모형일 수 있고, MA(1) 모형은 과거 한 시점 전의 오차값과 현재 오차값으로 나타낼 수 있다. MA(1)은 다음의 수학식 7과 같이 표현될 수 있다. Zt is the current time series value, and αt-n may be an error value before time point n. θp is the coefficient of the past error value (αt-p) and

influence can be shown. The simplest form of the MA model can be the MA(1) model, and the MA(1) model can be expressed as an error value before a point in the past and a current error value. MA(1) can be expressed as Equation 7 below.

The adjusted voltage calculator 440 may calculate an adjusted voltage, which is a voltage value to be adjusted, based on the predicted voltage calculated by the predicted voltage calculator 420 (S240). The predicted voltage may be calculated as a value having a predetermined time interval, or may be calculated as a section during a predetermined time interval.

The control unit 460 may control the voltage adjusting unit 200 to operate the node equipment with the calculated recommended voltage, and the control unit 460 may use the voltage adjusting unit 200 to control the voltage of the grid to be the calculated recommended voltage. can be controlled with

The voltage regulator 200 may be a device provided for voltage control or reactive power control of the grid, and includes an on-load tap changer (OLTC), a step voltage regulator (SVR), and a V It may include at least one of a voltage regulator, an inverter, and a (power) capacitor (SC; Shunt Condenser). For example, the voltage of a power line can be raised or lowered through the adjustment of an on-load tap changer, and reactive power can be controlled through an input or open command to an ancestor facility of a capacitor.

For example, when the power consumer is an industrial plant, the nominal voltage may be about 380V, and in the case of a home, it may be about 220V. Hereinafter, a case where the power consumer is a household will be described as an example.

The control unit 460 may set an optimal operation period based on the node's facility state or the node's past power data, and the optimum operation period may be set to 210 to 213V. If the current measured voltage of the node is 218V, it may be desirable to adjust it to the optimal operating range of 210 to 213V. However, the voltage adjusted according to the predicted voltage calculated by the predicted voltage calculator 420 may be determined differently.

For example, if the predicted voltage is about 218V equal to or close to the current voltage, the controller 460 may determine the voltage drop, and if the predicted voltage is about 213V lower than the current voltage, the controller 460 determines the voltage to be maintained. And, when the predicted voltage is about 208V, which is lower than the current voltage and less than the optimal operating period, the control unit 460 may determine that the voltage rises.

The controller 460 may compare the current voltage, the predicted voltage, and the optimum operating period to calculate voltage control tendencies including voltage drop, voltage maintenance, and voltage rise. When calculating the voltage control tendency, the controller 460 may command the voltage regulator 200 to operate with the recommended voltage (S300). The recommended voltage may be a value included in an optimal operating section or may be calculated as a section.

10 ... power system 30 ... power line
40 ... communication line 50 ... transformer
100... switchgear 200... voltage control unit
300... Main Instrumentation 400... Management Server
420 ... prediction voltage calculation unit 440 ... adjustment voltage calculation unit
460 ... control unit 500 ... data collection unit
600 ... data storage unit
L1... 1st load L1a... 1st measuring device
L2... 2nd load L2a... 2nd measuring device
Ln... n-th load Lna... n-th instrument

Claims (9)

a switchgear that distributes power supplied from the power system to a plurality of power grid nodes;
A management server including a control unit receiving continuous power data from the power reception system node in real time and generating a load prediction model for calculating a recommended voltage for conservation voltage reduction (CVR) of the power reception system node;
a voltage regulator receiving the recommended voltage from the control unit and controlling the voltage of the switchboard or the voltage of the node of the power reception system; A voltage control device comprising a.
According to claim 1,
The management server includes a predicted voltage calculation unit that calculates a predicted voltage of a node necessary for calculating a recommended voltage for the maintenance voltage drop using time-series past power data of the power reception system node,
The voltage control device, wherein the predicted voltage calculation unit calculates the predicted voltage using machine learning including kernel regression, autoregressive (AR), or moving average (MA).
According to claim 1,
The control unit sets an allowable voltage range to prevent a reduction in life or error of each node equipment,
The voltage control device in which an optimal operating period included in the allowable voltage range and including a recommended voltage for a conservation voltage drop (CVR) of the power receiving system node is set by the control unit.
According to claim 1,
The management server includes a predicted voltage calculation unit that calculates a predicted voltage of a node necessary for calculating a recommended voltage for the maintenance voltage drop using time-series past power data of the power reception system node,
The control unit sets an optimal operating period including a recommended voltage for a preservation voltage drop (CVR) of the power reception system node,
The control unit adjusts the recommended voltage so that the predicted voltage of the power reception system node is included in the optimal operating period.
According to claim 1,
The plurality of power receiving system nodes are located at an end of the power receiving system than the voltage adjusting unit, and the plurality of receiving system nodes have different voltage distributions due to different distances from the voltage adjusting unit and different device characteristics,
The recommended voltage for the preservation voltage drop calculated from the load prediction model is a voltage control device in which all voltages of the power receiving system node connected to the voltage regulator are simultaneously varied at the same rate.
According to claim 1,
The management server includes a predicted voltage calculation unit that calculates a predicted voltage of a node necessary for calculating a recommended voltage for the maintenance voltage drop using time-series past power data of the power reception system node,
The control unit sets an optimal operating period including a recommended voltage for a preservation voltage drop (CVR) of the power reception system node,
A voltage control device including an adjusted voltage calculator configured to calculate an adjusted voltage of the power reception system node, which is a difference between the optimal operating period and the predicted voltage.
According to claim 1,
The management server includes a predicted voltage calculation unit that calculates a predicted voltage of a node necessary for calculating a recommended voltage for the maintenance voltage drop using time-series past power data of the power reception system node,
The control unit sets an optimal operating period including a recommended voltage for a preservation voltage drop (CVR) of the power reception system node,
The control unit compares the difference between the current voltage of the power reception system node and the optimal operating period with the predicted voltage, and sends a voltage control command including voltage drop, voltage maintenance, or voltage rise of the power reception system node to the voltage regulator. A voltage control device that descends.
According to claim 1,
A data collection unit for collecting past power data of the power reception system node, or a data storage unit for storing the past power data collected by the data collection unit in time series order,
The data collection unit and the data storage unit are provided in the management server, and the data collection unit and the data storage unit receive the past power data of a node from a main instrument provided in the switchboard.
According to claim 1,
A data collection unit for collecting past power data of the power reception system node, or a data storage unit for storing the past power data collected by the data collection unit in time series order,
A measuring device for measuring power data is provided at each of the power receiving system nodes,
Voltage control device for transmitting the past power data collected from the measuring device to the management server when requesting data for calculating a recommended voltage for the maintenance voltage drop of the management server, the data collection unit or the data storage unit.

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