KR102625178B1 - Real-time status monitoring-based maximum demand power management system remotely controlled - Google Patents

Abstract

The present invention relates to a maximum demand power management system based on real-time status monitoring that allows remote control to reduce the error between predicted power and actual power consumption by performing DC control with the predicted power amount reflecting power pattern changes, and includes a meter and a plurality of loads. It is connected and includes an operation module that performs DC control and DR control according to the set logic, and the operation module calculates the current time (T _n ) and a controller that calculates the current power amount (P _n ); And it consists of an operation server and a management terminal connected to the controller, and the operation server is an operation unit that instructs the controller to perform DR control. The operation module includes the current time (T _n ) and the current power amount (P _n ). Uses sequential control or emergency control to trip some or all of a plurality of loads. However, during the sequential control and emergency control, there are cases where DC control is performed using the predicted power amount that reflects the power pattern change that occurs due to the trip. It is included, and at the end of the demand period, the trip is canceled and the current time (T _n ) and current power amount (P _n ) values are initialized, and then sequential control or emergency control of the next demand period cycle is performed. .

Description

Real-time status monitoring-based maximum demand power management system remotely controlled}

The present invention relates to a maximum demand power management system based on real-time status monitoring that can be controlled remotely. More specifically, it relates to a remote control system that reduces the error between predicted power and actual power consumption by performing DC control with the predicted power amount reflecting power pattern changes. This is about a maximum demand power management system based on real-time status monitoring.

Currently, abnormal temperatures such as heat waves and cold waves are worsening due to global warming, resulting in increased use of air conditioners and heaters. As electricity demand surges during this time, concerns about large-scale power outages are increasing.

On the other hand, electricity is difficult to store, so large-scale power outages are prepared by increasing the power reserve ratio considering the maximum demand power. An increase in the power reserve ratio causes upward pressure on electricity rates compared to the unit amount of power supplied.

Accordingly, the Korea Power Exchange (KPX), which was established based on the Electricity Business Act, provides a designated time period upon request (hereinafter referred to as 'DR issuance') to consumers who have signed a contract with the exchange in order to encourage power consumers to voluntarily save power. A system (DR: Demand Response) is being implemented that compensates people for refraining from using electricity (hereinafter referred to as 'DR control').

Meanwhile, the basic annual electricity rate is set at the highest value among the power consumption measured by the meter every 15 minutes (hereinafter referred to as 'demand time'). Accordingly, factories or large buildings of a certain size or larger (hereinafter referred to as 'electricity limit') In order to reduce electricity bills, the maximum demand power controller (DC: Demand Controller) is installed in the distribution system to manage power consumption per demand period.

Specifically, the maximum demand power controller constantly monitors the load power (power used by refrigerators, pumps, air conditioners, electric furnaces, etc.), and when the power consumption per demand period exceeds a certain level (hereinafter referred to as 'power upper limit'), the load power is reduced. Intermittent control (hereinafter referred to as 'DC control') is performed according to the specified logic.

The basic power blocking (hereinafter referred to as 'Trip') method of DC control is to calculate the expected power consumption during the demand period (hereinafter referred to as 'predicted power') as the average value obtained by counting the number of pulses of current power consumption over a predetermined period of time. Calculate and compare this with the set power upper limit to determine whether to trip.

However, most of the existing maximum demand power controllers calculate the predicted power by assuming that the current power consumption is maintained linearly, but the actual power consumption pattern may have various non-linear patterns even within the demand period depending on the characteristics of the load power. there is.

As a result, if the error between predicted power and actual power consumption increases, a trip may not occur even when the power consumption exceeds the power upper limit, or unnecessary trips may occur frequently, causing inconvenience in using electricity.

Accordingly, a maximum demand power management device that improves these inconveniences has been introduced in Domestic Registered Patent No. 10-1905709 (registration date: October 1, 2018).

The management device is a technology that links DC control and an energy storage system (ESS), and as shown in FIG. 1, the control unit 200 calculates the predicted power using the power pulse signal transmitted from the power meter 20. Then, the calculated predicted power and the set power upper limit are compared and analyzed to selectively trip the switch 100 according to the control priority (normal mode, control mode, forced mode), and the shortfall in load power due to the trip is compensated by the reserve power unit ( It is characterized by supplementing with power of 300).

However, the management device does not fundamentally solve the problem of error between predicted power and actual power consumption, and there is a problem that equipment costs increase to additionally configure the spare power unit 300.

In addition, the electric charging cost required to operate the reserve power unit 300 is incurred, so the effect of reducing electricity bills is minimal, and there are limits to commercialization as a maximum demand power management device.

KR 10-1905709 B1 2018.10.01.

The problem to be solved by the present invention is to provide a maximum demand power management system based on real-time status monitoring capable of remote control that can reduce the error between predicted power and actual power consumption.

The maximum demand power management system based on real-time status monitoring capable of remote control of the present invention to solve the above problems is connected to a meter and a plurality of loads, and includes an operation module that performs DC control and DR control according to set logic. The calculation module includes a controller that calculates the current time and current power amount during the demand period using a pulse signal including an EOI signal input every 900 seconds from the meter; And it consists of an operation server and a management terminal connected to the controller, and the operation server is an operation unit that instructs the controller to perform DR control. The operation module uses the current time and current power amount to operate some of the plurality of loads. Alternatively, sequential control or emergency control that trips the entire operation is performed, but the sequential control and emergency control includes cases where DC control is performed using the predicted power amount that reflects the power pattern change that occurs due to the trip, and at the end of the demand period. In this case, the trip is canceled and the current time and current power amount values are initialized, and then sequential control or emergency control is performed for the next demand period cycle.

In addition, in the maximum demand power management system based on real-time status monitoring capable of remote control of the present invention, in the sequential control, a plurality of loads are A load, B load, and C load, and Trip in the order of A load, B load, and C load. When DC control is performed in 1st-priority blocking mode, 2nd-priority blocking mode, and 3rd-priority blocking mode by setting priorities, the conditional expression (P _n /T _n ) × 900 × α - P _a × ( If 900-T _n )/3600 ≥ P _g /4 is met, A load trip is executed.

Here, P _g /4 is the target power amount per demand period, P _a is the allowable power amount per hour of load A, (P _n /T _n ) × 900 is the predicted power amount per demand period, and P _a × (900- T _n )/3600 is the remaining allowable power of load A.

In addition, the time range to which the above conditional expression of the first-priority blocking mode is applied is T _d ~ 900-T _ed(a) , where T _d is the Trip grace time, and T _ed(a) is the Trip control end time for load A. am.

In addition, the maximum demand power management system based on real-time status monitoring capable of remote control of the present invention uses the conditional expression P _n + (P _n -P _ta ) × (900) when T _n > T _a + T _b1 in the secondary blocking mode. -T _{n )} / _{( T n -T a} ) - _{P b} If _n + (P _ta/ T _a -P _a /3600) × (900-T _n ) - P _b × (900-T _n )/3600 ≥ P _g /4, B load trip is executed.

Here, T _a is the time when load A trips, P _b is the allowable power per hour of load B, P _ta is the accumulated power up to the time when load A trips, and T _b1 is used to identify the new power pattern immediately after load A trips. This is the time to collect power amount data, and the P _n + (P _n -P _ta ) × (900-T _n )/(T _n -T _a ) item is the predicted power amount reflecting the changed power pattern after T _b1 , and P _{The item b _ _ _ _}

In addition, the time zone in which the conditional expression of the 2nd priority blocking mode is applied is (T _a + T _b1 ) ~900-T _ed(b) , where T _ed(b) is the trip control end time for load B.

In addition, the maximum demand power management system based on real-time status monitoring capable of remote control of the present invention uses the conditional expression P _n + (P _n -P _tb ) × (900) when T _n > T _b + T _c1 in the 3rd priority blocking mode. -T _n ) _{/ ( T n -T b} ) - _{P c If n} + (P _ta/ T _a -P _a /3600-P _b /3600) × (900-T _n ) - P _c × (900-T _n )/3600 ≥ P _g /4, C load trip. It runs.

Here, T _b is the time of load B trip, P _c is the allowable power per hour of load C, P _tb is the accumulated power up to the time of load B trip, and T _c1 is used to identify the new power pattern immediately after load B trip. This is the time to collect power amount data, and the P _n + (P _n -P _tb ) × (900-T _n )/(T _n -T _b ) item is the predicted power amount reflecting the changed power pattern after T _c1 , and P _{c _ _ _ _ _ _ _} This is the predicted power amount.

In addition, the time zone in which the conditional expression of the 3rd priority blocking mode is applied is (T _b + T _c1 ) ~900-T _ed(c) , where T _ed(c) is the trip control end time for C load.

In addition, the maximum demand power management system based on real-time status monitoring capable of remote control of the present invention has a primary emergency mode in which the emergency control performs DC control when all loads are not tripped and when load A is tripped. It consists of a secondary emergency mode that performs DC control for the remaining loads.

In addition, the remote controllable real-time status monitoring-based maximum demand power management system of the present invention has T _n ≥ T _e in the first emergency mode and the conditional expression (P _n /T _n ) × 900 × α - (P _a + P If _b + P _c ) × (900-T _n )/3600 ≥ P _g /4 is met, Trip is executed for all A, B, and C loads.

Here, T _e is the time set to temporarily suspend the operation of the first emergency mode, and (P _a + P _b + P _c ) × (900-T _n )/3600 is the remaining allowable power amount for each load A, B, and C. It's a sum.

In addition, the maximum demand power management system based on real-time status monitoring capable of remote control of the present invention uses the conditional expression P _n + (P _n -P _ta ) × (900) when T _n > T _a + T _b1 in the secondary emergency mode. -T _n )/ ₍ T _n -T _a ) _- (P _b + P _{c )} In the case of T _a + T _b1 , the conditional expression P _n + (P _ta/ T _a -P _a /3600) × (900-T _n ) - (P _b + P _c ) × (900-T _n )/3600 ≥ P _g / If 4 is met, Trip for B and C loads is executed.

Here, the (P _b + P _c )/3600×(900-T _n ) item is the sum of the remaining allowable power amounts for each B and C load.

According to the maximum demand power management system based on real-time status monitoring capable of remote control of the present invention, DC control is performed by reducing the error between predicted power and actual power consumption through a conditional expression including the predicted power amount that varies depending on the trip for each load, and precise Maximum power management and remote control are possible, improving the convenience and reliability of the management system.

Figure 1 is a configuration diagram showing a maximum demand power management device according to the prior art.
Figure 2 is a configuration diagram showing a maximum demand power management system based on real-time status monitoring capable of remote control according to the present invention.
Figure 3 is a flowchart showing the overall DC control logic of the maximum demand power management system based on remote control and real-time status monitoring according to the present invention.
Figure 4 is a flowchart showing the first priority blocking mode logic of the remote controllable real-time status monitoring-based maximum demand power management system according to the present invention.
Figure 5 is a flowchart showing the second-priority blocking mode logic of the remote controllable real-time status monitoring-based maximum demand power management system according to the present invention.
Figure 6 is a flowchart showing the 3rd priority blocking mode logic of the remote controllable real-time status monitoring-based maximum demand power management system according to the present invention.
Figure 7 is a flowchart showing the first emergency mode logic of the remote controllable real-time status monitoring-based maximum demand power management system according to the present invention.
Figure 8 is a flowchart showing the secondary emergency mode logic of the remote controllable real-time status monitoring-based maximum demand power management system according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the attached drawings.

Figure 2 is a configuration diagram showing the maximum demand power management system based on real-time status monitoring capable of remote control according to the present invention, and Figure 3 is a diagram showing the maximum demand power management system based on real-time status monitoring capable of remote control according to the present invention. This is a flowchart showing the entire DC control logic.

Referring to FIGS. 2 and 3, the present invention includes a controller 10 that performs DC control necessary for managing maximum demand power for power facilities, and the controller 10 is connected to a communication network to determine basic values required for DC control. It consists of an operating unit 20 that sets, checks control results, and instructs the controller 10 to perform DR control, and the DC control is characterized by sequential control and emergency control.

Hereinafter, the specific details of the present invention will be described focusing on the above components. First, the controller 10 performs DC control and DR according to the input/output module and set logic connected to the meter (M) and the relay of each load power. It consists of an operation module that performs control.

First, the calculation module considers the pulse signal (EOI: End Of Interval) input every 15 minutes (900 seconds) from the meter (M) as the reference time point (start and end time) of the demand time limit, and determines the start time point of the demand time limit. The current power amount (P _n ) is calculated by integrating the pulse signal (WP: Watt Pulse) compared to the power usage of the meter (M) from the current time (T _n ).

Next, based on the current time (T _n ), current power amount (P _n ), and set value (or actual measured value) of the load power, sequential control or emergency control is performed to trip the load power if the following conditional expression in the logic is met. However, at the end of the demand period, the corresponding trip is canceled, the current time (T _n ) and current power amount (P _n ) values are initialized, and sequential control or emergency control of the next demand period cycle is performed.

Below, the specific logic of sequential control and emergency control will be explained assuming the case that the load subject to management of power facilities consists of load A, load B, and load C.

First, in sequential control, when trip priorities are set in the order of A load, B load, and C load and DC control is performed in 1st priority blocking mode, 2nd priority blocking mode, and 3rd priority blocking mode, respectively, 2nd priority blocking mode is A. It operates on the premise that a load trip occurs, and the 3rd priority blocking mode operates on the premise that a load B trip occurs.

And, in the first priority blocking mode, as shown in FIG. 4, load A trip is executed if the following conditional expression (a1) is satisfied.

[Conditional expression a1]

(P _n /T _n )×900×α - P _a ×(900-T _n )/3600 ≥ P _g /4

Here, P _g is the target power amount per hour, and P _g /4 corresponds to the target power amount per demand period.

And, the (P _n /T _n ) × 900 item is the predicted power amount per demand period obtained using the current time (T _n ) and current power amount (P _n ), and α is a variable for correcting the predicted power for A load.

In addition, P _a is the allowable power per hour of _load A, and the item P _a am.

To summarize, when the difference between the predicted power amount per demand time limit and the remaining allowable power amount of load A is greater than the target power amount per demand time limit (P _g /4), load A Trip is executed.

Meanwhile, the time zone in which the conditional expression of the first-priority blocking mode is applied within the demand time period is between T _n ≥ T _d and T _n ≤ 900-T _ed(a) , that is, between T _d and 900-T _ed(a) .

Here, T _d is the trip grace time and is usually given as 600 seconds.

In other words, even if the predicted power amount is large between 0 and 600 seconds, which is the early and middle part of the demand deadline, if a trip does not occur due to emergency control, which will be described later, the trip execution is postponed by considering it as a normal power surge pattern, which is frequent. This is to eliminate the inconvenience of using electricity due to trips.

Meanwhile, T _ed is the trip control end time and T _ed(a) is the trip control end time for load A, so the trip is held between T _ed and 900 seconds even if condition (a1) is satisfied. This is to avoid cumbersome DC control, as the trip is canceled immediately after the demand time is reset after executing the trip as the end of the demand time is imminent.

In addition, the T _ed value is set through the operation server 21, which will be described later, and is determined by considering the allowable power amount for each load. For example, a load with a large allowable power, such as an electric furnace, prevents accidents where power consumption exceeds the power upper limit by executing a trip when the conditional expression is satisfied even if the end of the demand period is imminent.

Therefore, for loads with a large allowable power amount, set the T _ed value as short as 2 to 3 seconds, and for small loads, set the T _ed value in tens of seconds.

In the second-priority blocking mode, as shown in FIG. 5, when T _n > T _a + T _b1 , load B Trip is executed if the following conditional expression (b1) is satisfied, and if T _n ≤ T _a + T _b1 , the following conditional expression ( If b2) is met, B load trip is executed.

[Conditional expression b1]

P _n + (P _n -P _ta )×(900-T _n )/(T _n -T _a ) - P _b ×(900-T _n )/3600 ≥ P _g /4

[Conditional expression b2]

P _n + (P _ta/ T _a -P _a /3600)×(900-T _n ) -P _b ×(900-T _n )/3600 ≥ P _g /4

Here, T _a is the time when load A trips, P _b is the allowable power per hour of load B, and P _ta is the accumulated power up to the time when load A trips.

And, T _b1 is a predetermined set time immediately after load A trip occurs. This is the time range for collecting power amount data to identify the new power pattern, as the power amount after load A trip has a different pattern from the existing power pattern.

In other words, the P _n + (P _n -P _ta ) × (900-T _n )/(T _n -T _a ) item of conditional expression (b1) is the predicted power amount reflecting the power pattern changed by Trip, and P _b × (900 -T _n )/3600 is the remaining allowable power amount of load B.

To summarize, if the difference between the predicted power amount reflecting the new power pattern after A load trip and the remaining allowable power amount of B load is greater than the target power amount per demand period (P _g /4), B load trip is executed.

On the other hand, if T _n ≤ T _a + T _b1 , that is, if the current time (T _n ) after load A trip is before the elapse of T _b1 and a new power pattern cannot be identified, P _n + (P _ta/ T _a -P _a / ₃₆₀₀ )

In this way, in the second-priority blocking mode, the predicted power amount is calculated by reflecting the power pattern changed by A load trip and DC control is performed based on this, so more precise sequential control can be performed.

And, the time zone in which the conditional expression of the 2nd priority blocking mode is applied is (T _a + T _b1 ) It is between ~900-T _ed(b) , where T _ed(b) is the trip control end time for load B.

The 3rd priority blocking mode also performs trip control for the C load in a very similar way to the 2nd priority blocking mode.

That is, as shown in FIG. 6, if the following conditional expression (c1) is satisfied at T _n > T _b + T _c1 , C load trip is executed, and if the following conditional expression (c2) is satisfied at T _n ≤ T _b + T _c1 , C load trip is executed.

[Conditional expression c1]

P _n + (P _n -P _tb ) × (900-T _n )/(T _n -T _b ) - P _c × (900-T _n )/3600 ≥ P _g /4

[Conditional expression c2]

P _n ＋(P _ta/ T _a -P _a /3600-P _b /3600)×(900-T _n ) -P _c ×(900-T _n )/3600 ≥ P _g /4

Here, T _b is the time when load B trips, P _c is the allowable power per hour of load C, and P _tb is the accumulated power until the time when load B trips.

In addition, T _c1 is the time range for collecting power quantity data to identify a new power pattern immediately after the B load trip occurs. P _n + (P _n -P _tb ) × (900 - T _n )/ in conditional expression (c1). The (T _n -T _b ) item is the predicted power amount reflecting the changed power pattern, and the P _c × (900-T _n )/3600 item is the remaining allowable power amount of C load.

In summary, if the difference between the predicted power amount reflecting the new power pattern after B load trip and the remaining allowable power amount of C load is more than the target power amount per demand period (P _g /4), C load trip is executed.

In addition, if T _n ≤ T _b + T _c1 , that is, if the current time (T _n ) after B load trip is before the elapse of T _c1 and a new power pattern cannot be identified, P _n + (P _{ta /} T _a -P _a /3600-P _b / ₃₆₀₀ )

In the 3rd priority blocking mode, as in the 2nd priority blocking mode, the predicted power amount is calculated by reflecting the changed power pattern, so precise sequential control can be performed.

And, the time zone in which the conditional expression of the 3rd priority blocking mode is applied is (T _b + T _c1 ) It is between ~900-T _ed(c) , where T _ed(c) is the Trip control end time for C load.

As mentioned earlier, emergency control is a control that executes a trip when abnormal peak power occurs within the demand period without considering T _d . There is a primary emergency mode that performs DC control when all loads are not tripped, and A It consists of a secondary emergency mode that performs DC control on the remaining loads while the load is tripped.

In the first emergency mode, as shown in FIG. 7, if T _n ≥ T _e and the following condition equation (e1) is satisfied, Trip is executed for all A, B, and C loads.

[Conditional expression e1]

(P _n /T _n )×900×α - (P _a +P _b +P _c )×(900-T _n )/3600 ≥ P _g /4

Here, the Te often has a power pattern that decreases thereafter even if a large peak power occurs at the beginning of the demand period. Taking this into account, the time range set to temporarily postpone the operation of the first emergency mode (usually set to 30 seconds) is).

_And , the ( _{P n / T n )} The (900-T _n )/3600 item is the sum of the remaining allowable power for each load A, B, and C during the remaining time.

In summary, in the first emergency mode, if the difference between the predicted power amount and the total remaining allowable power amount of each load A, B, and C exceeds the target power amount per demand time (P _g /4), a trip for all loads A, B, and C is triggered. It runs.

In the secondary emergency mode, as shown in FIG. 8, when T _n > T _a + T _b1 , Trip is executed for loads B and C if the condition equation (e2) below is satisfied, and T _n ≤ T _a + T _b1 . In this case, if the condition equation (e3) below is met, Trip for loads B and C is executed.

[Conditional expression e2]

P _n + (P _n -P _ta )×(900-T _n )/(T _n -T _a ) - (P _b +P _c )×(900-T _n )/3600 ≥ P _g /4

[Conditional expression e3]

P _n + (P _ta/ T _a -P _a /3600)×(900-T _n ) - (P _b +P _c )×(900-T _n )/3600 ≥ P _g /4

Here, (P _{b +} P _c ) And since the remaining items of the conditional expression are the same as those of the conditional expression (b1) and conditional expression (b2) described above, detailed descriptions are omitted.

The operating unit 20 consists of an operating server 21 and a management terminal 22 that are connected to the controller 10 through a communication network.

In addition, the management terminal 22 is a management PC provided in a power facility or a portable terminal of a power facility manager, and the management PC or portable terminal includes management necessary for operating a maximum demand power management system based on real-time status monitoring capable of remote control. Programs and management apps are built-in.

The amount of power (P _n , P _g , P _a, etc.) or other settings (T _d , T _ed , T _e, etc.) can be viewed or changed through the operation server 21 or a management program (management app).

In addition, the daily or monthly power consumption characteristics of the power facility, for example, DC control operation of the controller 10 so that DC control is performed during weekdays from 8:00 to 22:00, but DC control is not performed during other weekday hours or holidays. You can control time.

On the other hand, the allowable power amount for each load (P _a , P _b , P _c ) can be set by directly entering the set value, but if the power pattern has a large fluctuation range or the peak power occurs frequently, the actual measured value of the load power can be used as the allowable power amount for each load (P _a , P _b , P _c ) can reduce the error between predicted power and actual power consumption.

For this purpose, in the present invention, a power meter (GIMAC) connected to the controller 10 and providing actual measured values for each load may be further provided.

In this case, the controller 10 sets the collection cycle for each load, calculates the average value using the actual measurement data provided from the power meter, and uses this as the allowable power amount (P _a , P _b , P _c ) for each load.

In addition, the operation server 21 may be further equipped with an under frequency relay (UFR: Under Frequency Relay, 23) to perform DR control.

When the system frequency of the low-frequency relay 23 falls below a specific frequency (59.85 Hz in the first stage, 59.65 Hz in the second stage), the operation server 21 instructs the controller 10 to operate 10 for all loads or selected loads. Trips are made for a short period of time, and the electricity consumption reduced through this is sold in the electricity market to reduce electricity bills.

In this case, the DR control signal operates with priority over the DC control signal.

Although the preferred embodiments of the present invention have been described above, the scope of the rights of the present invention is not limited thereto, and it should be understood that the scope of the rights of the present invention extends to the scope substantially equivalent to the embodiments of the present invention. Various modifications can be made by those skilled in the art without departing from the technical spirit of the invention.

10: Controller
20: Operation department
21: Operation server
22: Management terminal
23: Low frequency relay

Claims (7)

It is connected to a meter (M) and a plurality of loads, and includes an arithmetic module that performs DC control and DR control according to set logic. The arithmetic module includes a pulse including an EOI signal input every 900 seconds from the meter (M). A controller (10) that calculates the current time (T _n ) and current power amount (P _n ) during the demand period using a signal; and
It consists of an operation server 21 and a management terminal 22 connected to the controller 10, and the operation server 21 includes an operation unit 20 that instructs the controller 10 to perform DR control;
It consists of
The calculation module performs sequential control or emergency control to trip some or all of a plurality of loads using the current time (T _n ) and current power amount (P _n ). During the sequential control and emergency control, trip occurs. This includes cases where DC control is performed using the predicted power amount that reflects power pattern changes, and at the end of the demand period, the corresponding trip is canceled and the current time (T _n ) and current power amount (P _n ) values are initialized and then the next time. Perform sequential control or emergency control of the demand period,
In the sequential control, the plurality of loads are A load, B load, and C load,
When DC control is performed in 1st priority blocking mode, 2nd priority blocking mode, and 3rd priority blocking mode by setting trip priorities in the order of load A, load B, and load C, the condition equation (P _n /T) is used in first priority blocking mode. _{If n} )×900×α - P _a ×(900-T _n )/3600 ≥ P _g /4 is met, A load trip is executed,
In the second-priority blocking mode, when T _n > T _a +T _b1 , the conditional expression P _n + (P _n -P _ta ) × (900-T _n )/(T _n -T _a )-P _b × (900-T _{If n} )/3600 ≥ P _g /4 is met, load B Trip is executed, and if T _n ≤ T _a + T _b1 , the conditional expression P _n + (P _ta/ T _a -P _a /3600) × (900-T _{n ) -P b}
Here, P _g /4 is the target power amount per demand period, P _a is the allowable power amount per hour of load A, (P _n /T _n ) × 900 is the predicted power amount per demand period, and P _a × (900- T _n )/3600 is the remaining allowable power of load A.
In addition, the time range to which the above conditional expression of the first-priority blocking mode is applied is T _d ~ 900-T _ed(a) , where T _d is the Trip grace time, and T _ed(a) is the Trip control end time for load A. am.
In addition, T _a is the time when load A trips, P _b is the allowable power per hour of load B, P _ta is the accumulated power up to the time when load A trips, and T _b1 is used to identify a new power pattern immediately after load A trips. This is the time to collect power amount data, and the P _n + (P _n -P _ta )/(T _n -T _a ) × (900-T _n ) item is the predicted power amount reflecting the changed power pattern after T _b1 , and P _{The item b _ _ _ _}
In addition, the time zone in which the conditional expression of the 2nd priority blocking mode is applied is (T _a + T _b1 ) ~900-T _ed(b) , where T _ed(b) is the trip control end time for load B.
delete delete According to paragraph 1,
In the 3rd priority blocking mode, if T _n > T _b +T _c1 , the conditional expression P _n + (P _n -P _tb ) × (900-T _n )/(T _n -T _b ) - P _c × (900-T _{If n} )/3600 ≥ P _g /4 is met, load C Trip is executed, and if T _n ≤ T _b + T _c1 , the conditional expression P _n + (P _ta/ T _a -P _a /3600-P _b /3600)× (900-T _n ) - Real-time status monitoring-based maximum demand power management system capable of remote control, characterized in that C load trip is executed when P _c × (900-T _n )/3600 ≥ P _g /4 is met. .
Here, T _b is the time of load B trip, P _c is the allowable power per hour of load C, P _tb is the accumulated power up to the time of load B trip, and T _c1 is used to identify the new power pattern immediately after load B trip. This is the time to collect power amount data, and the P _n + (P _n -P _tb ) × (900-T _n )/(T _n -T _b ) item is the predicted power amount reflecting the changed power pattern after T _c1 , and P _{c _ _ _ _ _ _ _} This is the predicted power amount.
In addition, the time zone in which the conditional expression of the 3rd priority blocking mode is applied is (T _b + T _c1 ) ~900-T _ed(c) , where T _ed(c) is the trip control end time for C load.
According to paragraph 1,
The emergency control is a remote control characterized in that it consists of a primary emergency mode in which DC control is performed when all loads are not tripped, and a secondary emergency mode in which DC control is performed on the remaining loads when load A is tripped. A maximum demand power management system based on real-time status monitoring.
According to clause 5,
In the first emergency mode, if T _n ≥ T _e and the conditional formula (P _n /T _n ) × 900 × α - (P _a + P _b + P _c ) × (900-T _n )/3600 ≥ P _g /4 is satisfied, A remote control, real-time status monitoring-based maximum demand power management system that executes trips for all A, B, and C loads.
Here, T _e is the time set to temporarily suspend the operation of the first emergency mode, and (P _a + P _b + P _c ) × (900-T _n )/3600 is the remaining allowable power amount for each load A, B, and C. It's a sum.
According to clause 5,
In the secondary emergency mode, when T _n > T _a +T _b1 , the conditional expression P _n + (P _n -P _ta )×(900-T _n )/(T _n- T _a ) - (P _b +P _c )×( If 900-T _n )/3600 ≥ P _g /4 is met, trip for B and C loads is executed, and if T _n ≤ T _a + T _b1 , the conditional expression P _n + (P _ta/ T _a -P _a /3600 ) × (900-T _n ) - (P _{b +} P _{c )} Maximum demand power management system based on real-time status monitoring.
Here, the (P _b + P _c )/3600×(900-T _n ) item is the sum of the remaining allowable power amounts for each B and C load.