KR20120114435A - Method of managing electric consumption with demand response - Google Patents

Abstract

PURPOSE: A method for managing electricity consumption based on a demand response is provided to save energy by automatically reducing customer electricity consumption according to a price signal. CONSTITUTION: A DRAS(Demand Response Automation Server) receives and stores a cost information signal(S10). The DRAS client periodically requests the cost information signal to a demand response automation server(S20). The DRAS client determines an interruptible load, an interruption order and target electricity consumption(S30). The DRAS client transmits the target electricity consumption to a customer automatic control device(S40). The customer automatic control device controls the electricity consumption by controlling the interruptible load(S50). [Reference numerals] (S10) DRAS receives and stores a cost information signal; (S20) DRAS client requests the cost information signal to the DRAS; (S30) DRAS client determines an interruptible load, an interruption order and target electricity consumption through the cost information signal recevied from the DRAS; (S40) DRAS client transmits the determined interruptible load, interruption order and target electricity consumption to a customer automatic control device; (S50) Customer automatic control device controls the electricity consumption by controlling the interruptible load

Description

Method of managing electric consumption with demand response

The present invention relates to a method for managing power consumption, and more particularly, to a method for more efficient power consumption management using demand response under a time-based differential rate system.

Korea, which has entered an energy-saving society, needs to establish an effective energy policy. Demand management rationally adjusts power demand to reduce cost and stabilize power supply and demand by improving load ratio, and contribute to national energy resource saving. Until now, the demand management policy has been proposed such as midnight power utilization, peak demand power control, direct load control, and remote control air conditioner for peak load suppression.

Recently, various demand response (DR) systems, including time-based pricing, have been actively developed around the power market in advanced countries.

Demand response refers to the end-user's use of electricity outside of the usual consumption pattern in response to price or financial compensation or to the utility's instructions. In general, utilities offer financial rewards to end-users to reduce power consumption in response to high wholesale market prices or system reliability threats.

The demand response system allows the end consumers to voluntarily be driven by the economic incentives to save on electricity rates by allowing them to pay high rates when electricity demand reaches peak and when electricity consumption needs to be reduced. There is a time-differentiated rate plan that encourages you to reduce your electricity consumption.

Incentives for grid operators to meet real-time supply / demand balances across the nation's electricity grid reduce power consumption by providing constant incentives directly to end consumers, who reduce electricity use during times when power demand reaches peaks. There is a payment method.

An object of the present invention is to provide a method for automatically managing the power consumption of the customer according to the price signal under the time-based differential rate system.

According to the present invention, a demand response based power consumption management method comprising: (a) receiving and storing a cost information signal by a demand response automation server (DRAS); (b) a DRAS client periodically requesting a cost information signal to the demand response automation server; (c) determining, by the DRAS client, a blockable load, a blocking sequence, and a target power consumption through the cost information signal received from the demand response automation server; (d) transmitting, by the DRAS client, the interruptible load, the interruption order, and the target power consumption determined in the step (c) to the customer's automatic control device; And (e) controlling the power consumption by controlling the interruptible load by the customer's automatic control device. The power consumption management method based on demand response is provided.

The step (e) may include: calculating a power consumption prediction curve to be used by the load by measuring a power value used at the load of the consumer through an electronic wattmeter connected to the load of the consumer; Obtaining a power consumption target curve using the power consumption prediction curve; Receiving a current power value used at the consumer through an electronic wattmeter connected to the consumer's load; And controlling the load of the customer by comparing the target power value on the power consumption target curve with the predicted power value per unit time predicted through the received current power value. A usage management method is provided.

In addition, there is provided a demand response based power consumption management method further comprising the step of correcting the subsequent power consumption target curve according to the received current power value.

The correcting of the target curve may include correcting the power consumption target curve after comparing the integrated value of the received current power value with the integrated value of the power consumption target curve within a predetermined time range. Provided is a demand response based power consumption management method.

The power consumption management method based on demand response according to the present invention has an advantage of saving energy by reducing power consumption. In addition, from the point of view of the consumer has the advantage that can reduce the use charge.

1 illustrates an example of a system to which a demand response based power consumption management method of the present invention is applied.
2 is a block diagram of the automatic control device shown in FIG. 1.
3 is a flowchart showing an embodiment of a demand response based power consumption management method according to the present invention.
Figure 4 is a flow chart of the power consumption control step in one embodiment of the demand response based power consumption management method according to the present invention.
5 is a graph illustrating a method of obtaining a power consumption target curve.
6 is a graph for explaining a power consumption control method.
7 is a graph for describing a method of correcting a power consumption prediction curve.

Hereinafter, with reference to the accompanying drawings will be described in detail with respect to the present invention.

1 illustrates an example of a system to which a demand response based power consumption management method of the present invention is applied. 2 is a block diagram of the automatic control device shown in FIG. 1. Referring to FIG. 1, a system to which a demand response based power consumption management method of the present invention is applied includes a demand response automation server (DRAS) 30, a DRAS client 20, and an automatic control device 10. Include. The DRAS 30 and DRAS client 20 of this system are Extensible Markup Languag based on Web service oriented architecture (SOA) to build a platform independence and co-use system. ; XML). Although it is determined that the DRAS client 20 and the consumer's automatic control device 10 is a private area, the openness can be increased by utilizing a standard communication protocol such as BACnet or Modbus.

The DRAS 30 receives and stores the cost information signal, and transmits the cost information signal to the DRAS client 20 when the DRAS client 20 requests it.

Automatic control device 10 is a device for monitoring the status of the load, such as mechanical and electrical equipment installed in the customer according to the instructions of the DRAS client 20, supplying power to the load and cut off.

Referring to FIG. 2, the automatic control apparatus 10 further includes a control server 3 connected to the maximum demand power controller 2. The power consumption control algorithm is implemented in the control server 3. In addition, if necessary, a plurality of loads can be controlled by connecting one or more automatic control computers or PLCs 4 to the control server 3 by TCP / IP or serial ports. The maximum demand power controller 2 is connected to an electronic power meter 1 that measures the amount of power used by the load.

3 is a flowchart illustrating an embodiment of a demand response based power consumption management method according to the present invention.

First, a demand response automation server (DRAS) receives and stores a cost information signal (S10). When an information system operated by an energy service provider, a power generator or a power distributor, sends a cost information signal to the DRAS, the DRAS receives the data and stores it in memory. The cost information signal includes the acceptance reaction event occurrence information and the power unit price that changes with time.

Under price-based tariffs, the cost of electricity varies over time, with varying degrees of lag and time lag. In the present embodiment, the level of the power unit price is classified in stages according to the unit cost of the power that changes with time, and based on this, the blockable load and the target power consumption are determined.

Next, the DRAS client periodically requests the cost information signal to the DRAS, and receives the cost information signal received from the demand response automation server (S20). Signals should be received continuously, including weekends and holidays.

Next, the DRAS client determines the blockable load, the blocking order and the target power consumption through the cost information signal received from the demand response automation server (S30).

Various methods can be used to determine the target power consumption. If you want to pay the same power bill regardless of the cost, you can reduce the target power consumption in inverse proportion to the cost. However, because the customer's operating environment may be extremely poor, it is desirable to set a power usage target that is somewhat dependent on the power cost. The target power consumption is set automatically when the received cost information signal is input to the program of the customer's DRAS client. In general, the power consumption management method targets the power consumption used in the day to operate the system.

In order to determine the interruptible load and the interruption order, first, a controllable load is selected. Since there are a large number of loads consuming power, customers must select a controllable load by carefully examining the customer configuration and load usage characteristics in order to reasonably manage the demand power of the customer. In addition, the operation of load equipment, operation characteristics and magnitude of load fluctuations, and changes in load fluctuations according to seasons should be considered.

In the case of general business buildings, department stores, and large discount stores, lighting, air conditioning, and air conditioning facilities are controllable loads.In the manufacturer's factory, facilities or safety systems that operate independently of production or safety are not affected. Overload does not affect quality and quality. The controllable loads of the factory include a drying furnace which can be stopped for a short time, an electric furnace, a compressor, an air conditioning facility, a water supply pump, and a circulation pump.

Once the controllable load is determined, review the shutdown sequence of the load equipment. The load is not cut off collectively, but divided into several groups to cut off the minimum amount necessary so as not to exceed the target power consumption according to the load condition. For example, divide the load into groups A, B, and C, group A contains loads 1, 2, and 3 that are difficult to block, group B contain general loads 4, 5, and 6, and group C blocks. Loads 7, 8, and 9 that are easy to follow may be included. Group C loads include lighting, air conditioning, and air conditioning equipment that do not affect safety or quality, and loads of Group A may include equipment that affects production, safety, and quality to some extent.

In addition, when the load is light and there is room, operate the load so that the blocked load is reduced as much as possible. As the load blocking method, there are a sequential control method for controlling the number of load shedding evenly, a priority control to cut off the lower priority load first and return later, and a mixed control method which controls the above two control methods mixedly.

Next, the DRAS client determines the breakable load by considering the cost information signal and the target power consumption. For example, when the level of the power unit price is high, all loads belonging to the A, B, and C groups may be included in the breakable load. When the power unit price is low, only loads belonging to the C group may be included in the breakable load. Each group blocks and puts in operation according to a predetermined priority, and each group cuts off the loads of low importance, and in the case of putting, it is generally appropriate to fix the priority so that the loads start from the load of high importance.

Next, the DRAS client transmits the determined interruptible load, the blocking order, and the target power consumption to the automatic control device of the customer (S40). For example, when the power unit price is low, loads 7, 8, and 9 belonging to the C group are included as the switchable loads, and the blocking order and calculated target power usage are transmitted between the loads.

Finally, the customer's automatic control device controls the power consumption by controlling the load capable of blocking (S50). The control of the power consumption is achieved by adjusting the breakable load based on the prediction of the power consumption.

Figure 4 is a flow chart of the power consumption control step in one embodiment of the demand response based power consumption management method according to the present invention. Referring to FIG. 4, in the controlling of power consumption, the electric power meter 1 connected to the load of the consumer is measured for a predetermined period of time, and as shown in FIG. 5, the load is used by the load. Begin by calculating the power consumption prediction curve e (t). Although it depends on the type of customer, the measurement period is about 5 weeks, and the power data is measured every 15 minutes, and it is accumulated by dividing it into week, weekend and holiday.

Next, the power consumption target curve q (t) is obtained by multiplying the calculated power consumption prediction curve e (t) by the proportional constant a. When the target curve is integrated over time, the proportionality constant (a) is determined so that the target power consumption is obtained. At this time, it is possible to adjust the maximum value of the target curve in order to reduce the base rate through the control of the attached load. If the target curve is obtained in this way, not only the usage fee but also the basic fee can be saved.

Next, the number of pulses output from the electronic wattmeter 1 connected to the customer load is counted to receive the current power value used by the customer.

Next, the load is controlled by comparing the target power value R on the power consumption target curve q (t) with the predicted power value E per unit time predicted through the received current power value Pt. This step is described with reference to FIG.

First, the reference power (ideal amount of power used to date Pr considering the target power R) is calculated. Then, the remaining demand time limit (T-t1) is applied to calculate the predicted power (E) and the adjusted power (power required to match the predicted power (E) and the target power (R) at the end of the demand time). If the regulated power is greater than zero, the load is cut off. If the regulated power is less than zero, the load is automatically restored according to a predetermined control method.

Next, the subsequent power consumption target curve q (t) is corrected according to the received current power value Pt (S55). A method of correcting the power consumption target curve q (t) will be described with reference to FIG. 7. In FIG. 7, s (t) is a curve connecting current power values measured until a certain time ti passes, and q _ti (t) represents a corrected power consumption target curve. If the total power used (integrated s (t)) until a certain amount of time (ti) passes is smaller than the integral of the power consumption target curve (q (t)), the first set after ti Using more power than the power target curve can also achieve the power target. Therefore, in consideration of this, it is necessary to correct the power consumption target curve. The corrected power consumption target curve q _ti (t) can be calculated by the following method.

At time t = 0, the final power consumption Q can be obtained as

Further, at the time t = ti, the final power consumption Q can be obtained as follows.

Since the corrected power consumption target curve q _ti (t) is proportional to the power consumption target curve q (t), assuming that the proportionality constant is a _ti , q _ti (t) is as follows.

We can develop the above expression as

From the above equation, the proportional constant a _ti can be obtained as

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the invention. Therefore, the embodiments described above are to be understood in all respects as illustrative and not restrictive. The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

10: automatic control device
1: Electronic power meter 2: Maximum demand power controller
3: control server 4: automatic control computer or PLC

Claims (4)

In the demand response based power consumption management method,
(a) receiving and storing a cost information signal by a demand response automation server (DRAS);
(b) a DRAS client periodically requesting a cost information signal to the demand response automation server;
(c) determining, by the DRAS client, a blockable load, a blocking sequence, and a target power consumption through the cost information signal received from the demand response automation server;
(d) transmitting, by the DRAS client, the interruptible load, the interruption order, and the target power consumption determined in the step (c) to the customer's automatic control device; And
(e) controlling the power consumption by controlling the switchable load by the customer's automatic control device;
Demand response based power consumption management method comprising a. The method of claim 1,
In step (e),
Obtaining a power consumption prediction curve to be used by the load by measuring a power value used at the load of the customer through an electronic wattmeter connected to the load of the customer for a predetermined time;
Obtaining a power consumption target curve using the power consumption prediction curve;
Receiving a current power value used at the consumer through an electronic wattmeter connected to the consumer's load; And
Controlling a load of the customer by comparing a target power value on the power consumption target curve with a predicted power value per unit time predicted through the received current power value;
Demand response based power consumption management method comprising a. The method of claim 2,
And adjusting the subsequent power consumption target curve according to the received current power value. The method of claim 3,
Correcting the target curve,
And comparing the integrated value of the received current power value with the integrated value of the power consumption target curve within a predetermined time range and correcting the subsequent power consumption target curve. How to manage.

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