JP6825968B2 - Power management method and power management device - Google Patents

Description

The present invention relates to a power management method and a power management device.

In recent years, in order to maintain the power supply-supply balance of the power system, a technique for reducing the tidal flow from the power system to the facility or the reverse flow from the facility to the power system has been known (for example, Patent Documents 1 and 2). .. Specifically, the power management device that manages the facility transmits a power reduction instruction to the local control device provided in the facility. The local control device reduces the power to be reduced (tide flow or reverse power flow) by controlling the equipment installed in the facility according to the power reduction instruction.

Japanese Unexamined Patent Publication No. 2013-169104 Japanese Unexamined Patent Publication No. 2014-128107

The power management device may receive a power reduction request from the electric power company requesting reduction of the power to be reduced. The degree of reduction of power to be reduced (target power reduction amount) is determined by the information included in the power reduction request or the contract with the electric power company. The power management device is required to keep the difference between the target power reduction amount and the actual power reduction amount within a predetermined value.

Therefore, an object of the present invention is to provide a power management method and a power management device capable of appropriately reducing the power to be reduced in response to a power reduction request.

The power management method according to the first feature is used in a power management device that manages a plurality of facilities connected to a power system. In the power management method, when a reduction of the power to be reduced, which is the tide flow or reverse power flow between the power system and the plurality of facilities, is requested, the power to be reduced is selected from the plurality of facilities. By repeatedly controlling the selection step of selecting one or more target facilities to be reduced and the equipment provided in the one or more target facilities, the power reduction amount of the one or more target facilities is set as the target power reduction amount. It is equipped with a control step for adjusting to. The selection step is a step of selecting the one or a plurality of target facilities so as to secure a power reduction possible amount larger than the target power reduction amount based on the power reduction possible amount of each of the plurality of facilities. Including.

The power management device according to the second feature manages a plurality of facilities connected to the power system. When the power management device is requested to reduce the power to be reduced, which is the tide flow or reverse power flow between the power system and the plurality of facilities, the power management device selects the power to be reduced from the plurality of facilities. It is provided with a control unit that selects one or more target facilities to be reduced. The control unit repeatedly controls the devices provided in the one or more target facilities to adjust the power reduction amount of the one or more target facilities to the target power reduction amount. The control unit selects the one or a plurality of target facilities so as to secure a power reduction possible amount larger than the target power reduction amount based on the power reduction possible amount of each of the plurality of facilities.

According to one aspect, it is possible to provide a power management method and a power management device capable of appropriately reducing the power to be reduced in response to a power reduction request.

It is a figure which shows the structure of the electric power management system which concerns on embodiment. It is a figure which shows the structure of the power management server which concerns on embodiment. It is a figure which shows the structure of the local control apparatus which concerns on embodiment. It is a figure which shows the electric power management method which concerns on embodiment. It is a figure which shows the selection process of the target facility which concerns on embodiment. It is a figure which shows the 1st control method (predictive control) which concerns on embodiment. It is a figure which shows the specific example of the 1st control method (predictive control) which concerns on embodiment. It is a figure which shows an example of the operation sequence which concerns on embodiment. It is a figure which shows the modification example of embodiment.

The embodiment will be described with reference to the drawings. In the description of the drawings below, the same or similar parts are designated by the same or similar reference numerals.

(1) Power Management System The configuration of the power management system according to the embodiment will be described. As shown in FIG. 1, the power management system 100 includes a power management server 200, a facility 300, and a power company server 400. In FIG. 1, facility 300A to facility 300C are exemplified as facility 300. Each facility 300 is connected to the power system 110. In the following, the flow of electric power from the electric power system 110 to the facility 300 will be referred to as a tidal current. The flow of electric power from the facility 300 to the electric power system 110 is called reverse power flow.

The electric power management server 200, the facility 300, and the electric power company server 400 are connected to the network 120. The network 120 may provide a line between the power management server 200 and the facility 300 and a line between the power management server 200 and the power company server 400. The network 120 is, for example, the Internet. The network 120 may provide a dedicated line such as a VPN (Virtual Private Network).

The power management server 200 is a server managed by an aggregator. The aggregator is a business operator that collects the amount of power reduction by bundling a plurality of facilities 300. In the embodiment, the power management server 200 is an example of a power management device that manages a plurality of facilities 300 connected to the power system 110.

Facility 300 is, for example, a store such as a supermarket or a convenience store. Facility 300 may be a house, a building, or a factory. Facility 300 has a load 310, a distributed power source 320, and a local controller 330. The load 310 is a device that consumes electric power. The load 310 may be, for example, an air conditioner or a lighting device. The distributed power source 320 is a device having at least one of a function of outputting electric power and a function of storing electric power. The distributed power source 320 may be, for example, a solar cell, a fuel cell, or a storage battery. The local control device 330 is a device (EMS; Energy Management System) that manages the electric power of the facility 300. The local control device 330 may control the operating state of the load 310, or may control the operating state of the distributed power source 320 provided in the facility 300.

The electric power company server 400 is a server managed by an electric power company that provides an infrastructure such as an electric power system 110. The electric power company may outsource various operations to a business operator such as a power transmission and distribution business operator or a retail business operator. The electric power company server 400 transmits a power reduction request requesting reduction of the power to be reduced to the power management server 200 in order to stabilize the balance between power supply and demand. In the embodiment, the power to be reduced is the tidal current. The power to be reduced may be reverse power flow. In the following, an example in which the power to be reduced is the tidal current will be described.

The electric power company server 400 transmits a power reduction request (for example, DR; Demand Response) requesting a reduction of the tidal current to the power management server 200. The power management server 200 transmits a power reduction instruction to one or a plurality of target facilities among the plurality of facilities 300 in response to the reception of the power reduction request from the power company server 400. The local control device 330 provided in one or a plurality of target facilities is a controlled target device (load 310 and / or distributed power source 320) so as to reduce the tidal flow in response to the reception of the power reduction instruction from the power management server 200. To control. In such a scenario, the power company server 400 may be referred to as a power company DRAS (Demand Response Automation Server). The power management server 200 may be referred to as an aggregator DRAS.

In the embodiment, the communication between the power management server 200 and the power operator server 400 and the communication between the power management server 200 and the local control device 330 are performed according to the first protocol. On the other hand, communication between the local control device 330 and the device (load 310 or distributed power source 320) is performed according to a second protocol different from the first protocol. As the first protocol, for example, a protocol compliant with Open ADR (Automated Demand Response) or a unique dedicated protocol can be used. As the second protocol, for example, a protocol conforming to ECHONET Lite, SEP (Smart Energy Profile) 2.0, KNX, or a unique dedicated protocol can be used. The device (load 310 or distributed generation 320) may communicate with the power management server 200 using the first protocol. In this case, the power management server 200 can directly control the device without going through the local control device 330.

The configuration of the power management server 200 according to the embodiment will be described. As shown in FIG. 2, the power management server 200 has a storage unit 210, a communication unit 220, and a control unit 230. The storage unit 210 is composed of a non-volatile memory and / or a storage medium such as an HDD (Hard Disk Drive). The storage unit 210 stores information used for processing and control by the control unit 230. The communication unit 220 is composed of a communication module. The communication unit 220 communicates with the power management server 200 and the local control device 330 via the network 120. The control unit 230 is configured by a CPU (Central Processing Unit) or the like. The control unit 230 controls each configuration provided in the power management server 200. The control unit 230 performs various processes and controls described later.

The configuration of the local control device 330 according to the embodiment will be described. As shown in FIG. 3, the local control device 330 includes a storage unit 331, a first communication unit 332, a second communication unit 333, and a control unit 334. The storage unit 331 stores information used for processing and control by the control unit 334. The first communication unit 332 is composed of a communication module and communicates with the power management server 200 via the network 120. The second communication unit 333 is composed of a communication module, and communicates with a device (load 310 and / or distributed power source 320). The control unit 334 is composed of a CPU and the like. The control unit 334 controls each configuration provided in the local control device 330. The control unit 334 performs various processes and controls described later.

(2) Electric power management method The electric power management method according to the embodiment will be described. The power management method according to the embodiment is used in the power management server 200 that manages a plurality of facilities 300 connected to the power system 110.

As shown in FIG. 4, in step S1, the power management server 200 receives the power reduction request requesting the reduction of the tidal current from the power company server 400. The electric power management server 200 may receive a power reduction request from the server of the operator outsourced by the electric power operator. The power reduction request may include at least one of a power reduction start date and time, a power reduction duration, and a target power reduction amount. The power reduction period (for example, the DR period) is determined by the start date and time of the power reduction and the duration of the power reduction. The target power reduction amount may be represented by an absolute value (for example, XX kW) or a relative value (for example, XX%). The power reduction request may include information that specifies the tidal flow after reduction (eg, XX kW). In this case, the target power reduction amount is determined by the difference between the tide flow before the reduction and the tide flow after the reduction. Alternatively, the power management server 200 may store a target power reduction amount predetermined in the contract between the aggregator and the power company. The time difference between the timing of the power reduction request and the timing of starting the power reduction, and the duration of the power reduction may also be predetermined in the contract.

In step S2, when the power management server 200 is requested to reduce the tide flow, the power management server 200 selects one or a plurality of target facilities for reducing the tide flow from the plurality of facilities 300. The target facility can be regarded as the facility 300 to participate in the power reduction. The power management server 200 selects a target facility so as to secure a power reduction possible amount larger than the target power reduction amount based on the power reduction possible amount of each of the plurality of facilities 300. That is, the power management server 200 secures an extra power reduction possible amount. The power management server 200 may predict fluctuations in the tide flow of each of the plurality of facilities 300, and select a target facility from the facilities 300 in which the amount of the fluctuation is equal to or less than the power reduction possible amount. The details of the target facility selection process (step S2) will be described later.

In step S3, the power management server 200 adjusts the power reduction amount of the target facility to the target power reduction amount by repeatedly controlling the equipment (controlled target equipment) provided in the target facility selected in step S2. The power management server 200 determines one of the first control method and the second control method as the control method in step S3 for each of the target facilities. The first control method is a control method that uses forecast information of tidal current in the future. The second control method is a control method that does not use prediction information. The power management server 200 may determine one of the first control method and the second control method based on at least one of the characteristics of the device to be controlled and the accuracy of the prediction information. The details of the device control (step S3) of the target facility will be described later.

The target facility may be reselectable in a predetermined cycle (eg, 5 minutes) and may be maintained within the predetermined cycle. The predetermined cycle may be referred to as a reselectable cycle. The time length of the predetermined cycle may be the minimum time length required for the facility to be recognized as having participated in the power reduction. The control cycle in step S3 may be a cycle shorter than a predetermined cycle (reselectable cycle) (for example, 1 minute). As an example, it is assumed that the power reduction period is 15 minutes, the reselectable cycle is 5 minutes, and the control cycle is 1 minute. In this case, before the start of the 15-minute power reduction period, the power management server 200 selects one or more facilities (target facility group # 1) to participate in the power reduction in the first 5 minutes. The selected target facility group # 1 is maintained in the first 5 minutes. That is, it is not possible to add a new facility to participate in power reduction in the middle of the first 5 minutes. Further, the power management server 200 may reselect one or a plurality of facilities (target facility group # 2) to participate in the power reduction in the next 5 minutes before the start of the next 5 minutes. The reselected Target Facility Group # 2 will be maintained for the next 5 minutes. Further, the power management server 200 may reselect one or more facilities (target facility group # 3) to participate in the power reduction in the last 5 minutes before the start of the last 5 minutes. The reselected target facility group # 3 is maintained during the last 5 minutes. The power management server 200 controls every one minute in each of the first 5 minutes, the next 5 minutes, and the last 5 minutes.

In this way, the power management server 200 selects the target facility so as to secure an extra power reduction possible amount, and then adjusts the power reduction amount of the target facility to the target power reduction amount. As a result, even if an unexpected increase in tidal current occurs at the target facility within the power reduction period, the target facility's power reduction amount is targeted by using the surplus of the power reduction possible amount without reselecting the target facility. It can be adjusted to the amount of power reduction.

(2.1) Pre-processing The pre-processing according to the embodiment will be described. The pre-processing is a processing performed prior to the flow shown in FIG.

The power management server 200 acquires various information from the local control device 330 of each facility 300. The power management server 200 may periodically acquire information from the local control device 330. The power management server 200 may acquire information from the local control device 330 by making a request to the local control device 330.

As an example, the power management server 200 acquires information on the tide flow rate of each facility 300, information on the power consumption of the controlled device of each facility 300, and information on the operating state of the controlled device of each facility 300. When the controlled device is the distributed power source 320, the power management server 200 acquires the information of the output power of the distributed power source 320. The power management server 200 may further acquire information on the state of participation in power reduction of each facility 300.

The power management server 200 accumulates the acquired information and generates information used for selection processing of the target facility and information used for device control of the target facility.

Based on the accumulated information, the power management server 200 estimates the fluctuation pattern of the tidal current flow excluding the power of the controlled device of each facility 300. In the following, the tide flow rate excluding the power of the controlled device will be referred to as "demand power", and the fluctuation pattern of demand power will be referred to as "demand fluctuation pattern". As an example, the power management server 200 predicts the demand fluctuation pattern of the day by averaging the demand fluctuation pattern based on the information of each facility 300 for the past several days.

Based on the accumulated information, the power management server 200 predicts the amount of fluctuation in power when the operating state of the controlled device is changed as the amount of power reduction possible. As an example, when power reduction is performed by switching the load 310 to the stopped state, the power consumption of the load 310 in the past fixed period can be used as the power reduction possible amount. When power reduction is performed by switching the distributed power source 320 to the power output state, the output power (or rated output power) of the distributed power source 320 can be used as the power reduction possible amount. The device operating state at the time of power reduction is referred to as "reduced operating state", and the device operating state at the time of non-power reduction is referred to as "normal operating state".

Further, based on the above-mentioned information, the power management server 200 uses the forecast information used in the first control method as the demand fluctuation pattern of the facility 300 to which the first control method is applied, and the controlled device of the facility 300. Predicts the power consumption in the normal operating state of the above (for example, the power consumption when the load 310 is in the activated state). The power management server 200 predicts the tide flow rate when the controlled target device is in the normal operating state based on the predicted demand fluctuation pattern and the power consumption in the normal operating state of the controlled target device.

The method used for prediction in preprocessing is not limited to the method described above. For example, prediction may be made using meteorological data or the like. Further, the prediction may be performed on the local control device 330 side instead of the power management server 200. The local control device 330 may notify the power management server 200 of the information obtained by the prediction. Such a notification may be made in response to a request from the power management server 200.

(2.2) Target facility selection process The target facility selection process according to the embodiment will be described. As shown in FIG. 5A, the electric power management server 200 reduces the tide flow from the plurality of facilities # 1 to 3 when the electric power company server 400 requests the reduction of the tide flow. Select multiple target facilities.

In the example of FIG. 5A, the target power reduction amount of 10 [kW] is specified from the power company server 400 to the power management server 200.

The power reduction possible amount of facility # 1 is 10 [kW], the power reduction possible amount of facility # 2 is 5 [kW], and the power reduction possible amount of facility # 3 is 10 [kW]. The power management server 200 may determine the power reduction possible amount of each facility based on the power reduction possible amount predicted by the pre-processing and the operating state of the controlled device in each facility. When the load 310, which is the control target device, is already stopped, the power management server 200 may determine that the power reduction possible amount of the facility having the control target device is 0 [kW].

The demand fluctuation amount of facility # 1 is 5 [kW], the demand fluctuation amount of facility # 2 is 10 [kW], and the demand fluctuation amount of facility # 3 is 10 [kW]. The amount of fluctuation in demand can be obtained as follows. First, by preprocessing, the demand fluctuation pattern at the facility is predicted based on the measured value of the past tidal current (or power demand) at the corresponding facility. Next, the difference between the minimum value and the maximum value of the predicted value of the tidal current flow (or power demand) in the power reduction period can be obtained as the amount of fluctuation in demand.

The power management server 200 selects a target facility so as to secure a power reduction possible amount larger than the target power reduction amount based on the power reduction possible amount of each of the plurality of facilities # 1 to 3. The power management server 200 predicts fluctuations in the tide flow (demand power) of each of the plurality of facilities # 1 to 3, and targets from among the facilities whose amount of fluctuation (demand fluctuation amount) is less than or equal to the amount that can reduce power. Select a facility. In the example of FIG. 5A, facility # 2 is excluded in the selection of the target facility because the amount of fluctuation in demand exceeds the amount of power reduction possible. The power management server 200 selects facility # 1 and facility # 3 as target facilities, and transmits a power reduction instruction to facility # 1 and facility # 3. As a result, facility # 1 and facility # 3 are in a state of participating in power reduction.

As shown in FIG. 5 (b), the total of the power reduction possible amount of facility # 1 and the power reduction possible amount of facility # 3 is 20 [kW], which is larger than the target power reduction amount (10 [kW]). There are many. In this case, the power management server 200 that controls the combination of facilities # 1 and # 3 adjusts to the target power reduction amount by control even if the demand fluctuations up to 10 [kW] occur in facilities # 1 and # 3. Is possible.

(2.3) Equipment control of the target facility The equipment control of the target facility according to the embodiment will be described. The power management server 200 adjusts the power reduction amount of the target facility to the target power reduction amount by repeatedly controlling the controlled target device of the selected target facility.

The power management server 200 determines one of the first control method and the second control method for each facility 300. The first control method is a control method that uses predicted information on future tidal currents. The details of the first control method will be described later. The second control method is a control method that does not use prediction information. The second control method may be general PID control. The second control method may be a method in which the process of using the prediction information is omitted in the first control method described later.

The power management server 200 may determine the control method based on the characteristics of the device to be controlled. When two or more different control target devices exist in one facility 300, the power management server 200 may determine the control method based on the control target device having the larger power reduction amount. Alternatively, the power management server 200 may average the characteristics of two or more different controlled devices and determine the control method based on the averaged characteristic values.

The characteristics of the controlled device may be notified from the local control device 330 to the power management server 200. Alternatively, the power management server 200 may have a database in which the controlled device and its characteristics are associated with each other. The power management server 200 may inquire an external database about the characteristics of the controlled device.

The characteristics of the control target device include at least one of the power reduction amount (power reduction possible amount) of the control target device, the responsiveness to the control instruction (for example, the time from the start to the completion of the control), and the operation accuracy for the control instruction. .. In the power management server 200, at least one of the following that the amount of power reduction of the controlled target device is less than the threshold value, the responsiveness of the controlled target device is lower than the threshold value, and the operation accuracy of the controlled target device is lower than the threshold value. When one of the conditions is satisfied, it may be decided to apply the first control method to the facility 300 having the controlled device. The power management server 200 has at least one of the fact that the amount of power reduction of the controlled target device is larger than the threshold value, the responsiveness of the controlled target device is higher than the threshold value, and the operation accuracy of the controlled target device is higher than the threshold value. When one of the conditions is satisfied, it may be decided to apply the second control method to the facility 300 having the controlled device.

The power management server 200 may determine the control method based on the accuracy of the prediction information. As an example, it is difficult to make a highly accurate demand forecast for the facility 300, which has low reproducibility of the demand fluctuation pattern. For such a facility 300, the power management server 200 may decide to apply the second control method. On the other hand, for the facility 300, which has high reproducibility of the demand fluctuation pattern, it is possible to perform a highly accurate demand forecast. For such a facility 300, the power management server 200 may decide to apply the first control method.

The first control method (predictive control) according to the embodiment will be described.

As shown in FIG. 6, in step S11, the power management server 200 transmits a power reduction instruction to the local control device 330 of the target facility 300 at the start of control. As a result, the controlled device of the target facility 300 is set to the reduced operation state. As an example, the power management server 200 sets the load 310, which is a control target device, to the stopped state through the local control device 330.

In step S12, the power management server 200 acquires the tide flow rate (total tide flow rate) of the target facility 300. The procedure of steps S12 to S18 is performed every control cycle. Hereinafter, an example in which the control cycle is 1 minute will be described.

In step S13, the power management server 200 calculates the power reduction amount of the target facility 300. The power reduction amount W (n) at the time "n" is calculated by the following formula (1), and the unit is [kW]. “N” indicates the current time, and represents the elapsed time from the time of requesting power reduction or the start of control of the device (0 ≦ n minutes ≦ power reduction period). The amount of power reduction may be referred to as negawatt.

Here, the baseline is an assumed tide flow rate when there is no power reduction request. The baseline is defined, for example, as the average power of the tidal flow within a predetermined period before the start of power reduction.

In step S14, the power management server 200 calculates the first average power reduction amount up to the present time. The first average power reduction amount A (n) up to the present time is calculated by the following formula (2).

In step S15, the power management server 200 uses the second average power reduction amount up to the future time point based on the first average power reduction amount and the predicted average power reduction amount from the present time to the future time point after a predetermined time (α). Calculate the average power reduction amount of. The second average power reduction amount A'(n + α) is calculated by the following formula (3).

Here, W'(m) is the amount of power reduction when the controlled device is in the normal operating state.

The predetermined time α may be set based on the characteristics of the device to be controlled (for example, responsiveness to control instructions). As an example, when the wasted time is 1 minute and the primary delay time is 2 minutes, 3 minutes may be set as the predetermined time α. The primary delay time is the elapsed time until 63% of the rated output of the controlled device is obtained. When the control target device is an air conditioner or the like, the predetermined time α may be set based on at least one of the frequency of controlling the control target device and the difference between the set temperature of the air conditioner and the target temperature. When the air conditioner is frequently controlled and the difference between the set temperature and the target temperature (temperature difference) is small, the time required to obtain the rated output becomes large. Therefore, the higher the control frequency, the longer the predetermined time α may be set, and the larger the temperature difference, the longer the predetermined time α may be set.

In step S16, the power management server 200 compares the second average power reduction amount A'(n + α) with the target power reduction amount R.

When the second average power reduction amount A'(n + α) is less than the target power reduction amount R (step S16; NO), in step S17, the power management server 200 sets the controlled device to the reduced operation state. Is transmitted to the local control device 330 of the target facility 300. When the controlled target device is already in the reduced operating state, the power management server 200 maintains the controlled target device in the reduced operating state.

On the other hand, when the second average power reduction amount A'(n + α) is equal to or greater than the target power reduction amount R (step S16; YES), the power management server 200 sets the controlled device to the normal operating state in step S18. An instruction to do so is transmitted to the local control device 330 of the target facility 300. When the controlled device is already in the normal operating state, the power management server 200 maintains the controlled device in the normal operating state.

Next, a specific example of the first control method (predictive control) will be described.

As shown in FIG. 7, power reduction is started at time t1. At the current time t2, the power management server 200 has an average power reduction amount (No. 1) based on the power reduction amount from the time t1 to the current time and the predicted power reduction amount from the current time to the time t5 three minutes later. Calculate the average power reduction amount of 2). When the power reduction amount is exceeded even when the controlled device is controlled to the normal operating state, the power management server 200 controls the controlled device to the normal operating state and reduces the excess amount of the power reduction amount. On the other hand, when the power reduction amount is insufficient when the controlled device is controlled to the normal operating state, the controlled device is controlled to the reduced operating state.

(2.4) Example of Operation Sequence An example of the operation sequence according to the embodiment will be described.

As shown in FIG. 8, in T201 to T203, each local control device 330 of the facilities 300A to 300C transmits various information to the power management server 200. The information transmitted to the power management server 200 includes the tidal current of the facility 300 (for example, TELEMETRY USAGE in OpenADR 2.0b), the operating state of the controlled device (for example, TELEMETRY STATUS in OpenADR 2.0b), and power reduction. Participation status (eg, EiOpt service in OpenADR 2.0b) may be included.

At T204, the electric power company server 400 transmits a power reduction request (for example, the orderDistributeEvent of OpenADR2.0b) to the power management server 200.

In T205 and T206, the power management server 200 transmits a power reduction instruction to the local control devices 330 of the facilities 300A and 300B by the above-mentioned selection process.

In T207 and T208, the local control devices 330 of the facilities 300A and 300B each transmit various information to the power management server 200. The information transmitted to the power management server 200 may include the tidal flow of the facility 300, the operating state of the controlled device, and the state of participation in power reduction.

In T209 and T210, the power management server 200 transmits the control instruction updated by the above-mentioned device control to the local control devices 330 of the facilities 300A and 300B, respectively.

(3) Change example A change example of the embodiment will be described.

In the device control described above, the power management server 200 may select the target facility to which the current control instruction is transmitted from the target facilities based on the elapsed time from each previous control instruction of the target facility. .. As an example, the power management server 200 preferentially transmits the current control instruction to the target facility having a long elapsed time from the previous control instruction.

As shown in FIG. 9, the power management server 200 sets each controlled target device (for example, load) of the target facilities # 1 to # 3 to the reduced operation state at the start of power reduction. In the example of FIG. 9, the power management server 200 sets the respective loads of the target facilities # 1 to # 3 to the stopped state (Off state). After that, the power management server 200 switches the respective loads of the target facilities # 1 and # 2 to the activated state (On state) in response to the excess of the reduction amount (reduction amount excess 1). As a result, the excess of the reduction amount (reduction amount excess 1) is resolved, and the power management server 200 switches the respective loads of the target facilities # 1 and # 2 to the stopped state (Off state).

After that, the power management server 200 activates the load of the target facility # 3, which has the longest elapsed time since the previous control instruction, in response to the excess of the reduction amount (reduction amount excess 2) occurring again (On state). ). Here, since the target facilities # 1 and # 2 have a short elapsed time from the time when they were in the activated state (On state), it is said that the comfort in the facility (for example, QoL; Quality of Life) is improved. Conceivable. Further, when the load is an air conditioner or the like, if frequent On / Off instructions are given, it may take time for the effect to actually appear or a failure may be induced. For this reason, the load of the target facility # 3, which has the longest elapsed time since the previous control instruction, is switched to the activated state (On state).

(4) Other Embodiments Although the present invention has been described by the above-described embodiments, the statements and drawings that form part of this disclosure should not be understood as limiting the invention. Various alternative embodiments, examples and operational techniques will be apparent to those skilled in the art from this disclosure.

In the above-described embodiment, an example in which the power to be reduced is the tidal current has been described. However, the power to be reduced may be reverse power flow. The electric power company server 400 may send a reverse power flow reduction request to the electric power management server 200. The power management server 200 may transmit a reverse power flow reduction instruction to the power management server 200.

In the predictive control of the above-described embodiment, an example of predicting the electric power in the normal operating state of the controlled device has been described. However, instead of predicting the power in the normal operating state of the controlled device, the power in the reduced operating state of the controlled device may be predicted.

A program that causes a computer to execute each process performed by the power management server 200 may be provided. The program may also be recorded on a computer-readable medium. Computer-readable media can be used to install programs on a computer. Here, the computer-readable medium on which the program is recorded may be a non-transient recording medium. The non-transient recording medium is not particularly limited, but may be, for example, a recording medium such as a CD-ROM or a DVD-ROM.

100 ... Power management system, 110 ... Power system, 120 ... Network, 200 ... Power management server, 210 ... Storage unit, 220 ... Communication unit, 230 ... Control unit, 300 ... Facility, 310 ... Load, 320 ... Distributed power supply, 330 ... local control device, 331 ... storage unit, 332 ... first communication unit, 333 ... second communication unit, 334 ... control unit

Claims (10)

A power management method used in a power management device that manages multiple facilities connected to a power system.
When a reduction of the power to be reduced, which is the tide flow or reverse power flow between the power system and the plurality of facilities, is requested, one or a plurality of the powers to be reduced are reduced from the plurality of facilities. Selection steps to select the target facility and
A prediction step for predicting the fluctuation amount of the power to be reduced of each of the plurality of facilities is provided.
In the selection step, the one or a plurality of target facilities are selected from the facilities in which the fluctuation amount predicted in the prediction step is equal to or less than the power reduction possible amount based on the power reduction possible amount of each of the plurality of facilities. Power management methods, including steps to select. The power management according to claim 1, further comprising a control step of adjusting the power reduction amount of the one or more target facilities to the target power reduction amount by controlling the devices provided in the one or more target facilities. Method. The selection step is a step of selecting the one or a plurality of target facilities so as to secure a power reduction possible amount larger than the target power reduction amount based on the power reduction possible amount of each of the plurality of facilities. 2. The power management method according to claim 2 . A power management method used in a power management device that manages multiple facilities connected to a power system.
When a reduction of the power to be reduced, which is the tide flow or reverse power flow between the power system and the plurality of facilities, is requested, one or a plurality of the powers to be reduced are reduced from the plurality of facilities. Selection steps to select the target facility and
A control step of adjusting the power reduction amount of the one or more target facilities to the target power reduction amount by controlling the equipment provided in the one or more target facilities.
As a control method in the control step, a determination step of determining one of a first control method and a second control method for each facility is provided.
The selection step is a step of selecting the one or a plurality of target facilities so as to secure a power reduction possible amount larger than the target power reduction amount based on the power reduction possible amount of each of the plurality of facilities. Including
Said first control scheme, Ri control method der using prediction information regarding the reduction target power in the future,
The second control method is a power management method , which is a control method that does not use the prediction information . As a control method in the control step, a determination step of determining one of a first control method and a second control method for each facility is included.
The first control method is a control method that uses forecast information regarding the power to be reduced in the future.
The power management method according to claim 2 or 3, wherein the second control method is a control method that does not use the prediction information. The determination step includes determining one of the first control method and the second control method based on at least one of the characteristics of the device and the accuracy of the prediction information. The power management method according to claim 5. The control step includes a predictive control step for controlling the target facility using the first control method.
The predictive control step
Based on the power reduction amount of the target facility, the step of calculating the first average power reduction amount from the past time point when the reduction target power reduction is requested or the control start time of the device to the present time. ,
The second average power reduction amount from the past time point to the future time point based on the first average power reduction amount and the predicted average power reduction amount from the present time to a future time point after a predetermined time. And the steps to calculate
The power management method according to claim 5 or 6, comprising a step of controlling the device according to a comparison result between the second average power reduction amount and the target power reduction amount. The power management method according to claim 7, wherein the predictive control step further includes a step of setting the predetermined time based on at least one of the characteristics of the device and the frequency of controlling the device. A power management device that manages multiple facilities connected to the power system.
When a reduction of the power to be reduced, which is the tide flow or reverse power flow between the power system and the plurality of facilities, is requested, one or a plurality of the powers to be reduced are reduced from the plurality of facilities. Equipped with a control unit to select the target facility
The control unit predicts the fluctuation amount of the power reduction target for each of the plurality of facilities,
The control unit selects the one or a plurality of target facilities from the facilities whose fluctuation amount is equal to or less than the power reduction possible amount based on the power reduction possible amount of each of the plurality of facilities. .. A power management device that manages multiple facilities connected to the power system.
When a reduction of the power to be reduced, which is the tide flow or reverse power flow between the power system and the plurality of facilities, is requested, one or a plurality of the powers to be reduced are reduced from the plurality of facilities. Equipped with a control unit to select the target facility
The control unit adjusts the power reduction amount of the one or more target facilities to the target power reduction amount by controlling the equipment provided in the one or more target facilities.
The control unit selects the one or a plurality of target facilities so as to secure a power reduction amount larger than the target power reduction amount based on the power reduction possible amount of each of the plurality of facilities.
As a control method for controlling the equipment provided in the one or a plurality of target facilities, the control unit uses a first control method that uses prediction information regarding the power to be reduced in the future and a second control method that does not use the prediction information. A power management device that determines one of the control methods for each facility .

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