JP5926156B2 - Consumer energy management device and system - Google Patents

Description

  The present invention relates to an energy management apparatus and system for consumers, and more particularly to a consumer energy management apparatus and system for managing the power supply and demand of each consumer via a network.

  In customers and regions where solar power generation (hereinafter referred to as solar power generation device PV) and storage batteries are installed when power use is restricted due to tight supply and demand, disasters, etc., these can be used as power supply sources, and more There is a growing need to secure the power supply to high-priority consumer load equipment as much as possible by adjusting the usage of the.

  However, when using the power generation output of the photovoltaic power generation device PV in the consumer as a power supply source, or when trying to suppress the power usage of the consumer for the power system operation, There is also a possibility that the power generation output of the power generation device PV will be reduced and it will not be possible to satisfy all of the customer's power usage needs, that is, the situation where the customer will have to stop some of the equipment that he has tried to operate. is there.

  On the other hand, in Patent Document 1, the priority order of customer devices to be operated in the event of a power failure is set in advance, and the priority order is within the range of power that can be supplied by the photovoltaic power generation device PV and the storage battery at the time of a power failure. There is a description about a system in which higher devices are operated with priority, and higher power supply time is set for higher priority devices. This can improve the convenience and comfort of the customer during a power outage.

JP 2011-83088 A

  According to Patent Literature 1, it is possible to preferentially operate a device having a high priority in each time section.

  However, if a customer cancels the operation of a certain device at the present time and another device can be operated later, there is a need to prioritize the operation of that device, or a certain device at the present time. If it becomes possible to operate other devices by canceling the operation of the system, there is a need not only for the priority of operating that device, but also for the operation of a certain device, not just simple adjustment of operation / stop. By allowing restrictions such as relaxation of the set temperature of air conditioning, it is not possible to adjust the operation of the equipment in consideration of the need to explore the possibility of operating other equipment.

  From the above, the object of the present invention is to set the equipment operation pattern so that the equipment operation needs of consumers are fully satisfied in a situation where the power consumption must be limited to a target value or less during a certain period. It is to provide a system to create.

In order to solve the above-described problems, the present invention is a consumer energy management apparatus connected via a network to a power demand management system that calculates a power supply / demand balance in a consumer and determines an operation pattern of load equipment in the consumer. And
The consumer energy management device includes an input means for inputting a device operation request, which is data in which a demand is associated with a condition relating to a time zone and an operation state that the consumer wants to operate for each load device in the consumer, and power demand. A display means for displaying a correction device operation pattern that is created in the management system and maximizes the total value of the requested conditions that are satisfied among the input conditions;
In addition, the display means is characterized in that, among the input device operation requests, allowed and rejected are displayed separately on the same screen.

In order to solve the above-described problems, the present invention is a consumer energy management system in which a power demand management system and a consumer energy management device installed in a consumer are connected via a network,
The consumer energy management device creates and displays a device operation request that is data that associates the requirement level with the conditions related to the time zone and operation state that the customer wants to operate for each load device in the customer,
The power demand management system calculates a power supply / demand balance when the customer is operated based on the equipment operation request obtained via the network, and creates a corrected equipment operation pattern,
The consumer energy management apparatus is characterized in that the corrected equipment operation pattern created in the power demand management system is displayed by distinguishing between permitted and rejected equipment operation requests.

  The other features of the present invention will be described in detail in the section of the detailed description.

  According to the present invention, there is provided a system for creating a device operation pattern so as to satisfy a customer's device operation needs to the maximum in a situation where power consumption must be limited to a target or less during a certain period. Can be provided.

  According to the embodiment of the present invention, in a situation where the power consumption is inevitably limited to a target or less during a certain period, the operation of the current device is canceled, so that another device later If it becomes possible to operate multiple devices, if there is a need to prioritize the operation of that device, or if it becomes possible to operate multiple devices by canceling the operation of the current device, that device should be prioritized. In addition to the need for operation and simple adjustment of operation / stop, by allowing certain restrictions on the operation of certain equipment, such as relaxation of the set temperature of air conditioning, the possibility of operation of other equipment is increased. It is possible to adjust the equipment operation pattern so that the equipment operation needs of the consumer who wants to search are satisfied as much as possible.

The figure which shows the example of whole structure of a consumer energy management system. The figure which shows the example of whole structure of a general electric power system. The figure which shows the input display framework of the consumer terminal EMS. The figure which shows the display content of the initial state of the customer terminal EMS. The figure which shows the display content of the use plan input stage after the consumer input of the consumer terminal EMS. The figure which shows the specific example of the icon of a use plan input screen. The figure which shows an example of apparatus operation pattern data DB1. The figure which shows a specific example of apparatus operation request data DB2. The figure which shows the specific example of request | requirement fitness data DB3. The flowchart which shows the creation process of a consumer apparatus operation pattern. The figure which shows the display content finally displayed on the customer terminal EMS.

  Embodiments for carrying out the present invention will be described in detail with reference to the drawings as appropriate.

  FIG. 2 is a diagram illustrating an overall configuration example of a general power system.

  The power system is a system that supplies power to the consumer R, and supplies the power generated by the power generation facility G to the large-scale consumer R1 via the transmission line L1, the transformer Tr1 installed in the substation, and the high-voltage distribution line L2. To do. Generally, there are buildings, factories, supermarkets, schools, etc. as large-scale consumers R1, and in many cases, power is supplied at 6000 volts.

  On the other hand, the voltage is lowered to 100 volts or 200 volts by the transformer on the pole Tr2 installed in the high-voltage distribution line L2, and is connected to the low-voltage distribution line L3. The low-voltage distribution line L3 is connected to a small-scale consumer R2 (also referred to as a general consumer) such as a general household, and is supplied with power.

  Although the present invention can be applied to any consumer, an example applied to a general household will be described here. Electric load devices such as air conditioners, televisions, washing machines, dryers, refrigerators, and electric water heaters are installed at the end of these consumers and are supplied with electric power. These are so-called loads.

  On the other hand, power storage equipment such as a storage battery or a solar power generation device PV may be installed at the consumer end. Hereinafter, these devices installed at the customer end are collectively referred to as customer devices. Of the consumer equipment, the load equipment may be referred to as consumer load equipment and the power generation equipment may be referred to as consumer power equipment.

  FIG. 1 is a diagram illustrating an example of the overall configuration of a customer energy management system according to the present embodiment. The customer energy management system includes a customer terminal EMS installed in each customer R, a power demand management system (hereinafter referred to as a DSM server) installed in a power supply facility such as a sales office, and the like. It is composed of a communication network NW to be connected.

  The consumer terminal EMS connected to the DSM server constitutes a consumer energy management device alone.

  The DSM server, which is a power demand management system, may be installed for each appropriate unit of the customer R. Here, the customer R connected to the low voltage distribution line L3 stepped down by the pole transformer Tr2 is managed. This will be explained with the example of the target. In this case, it is assumed that three customers R21, R22, and R23 in the region below the x mark in the figure are to be managed, the power usage is restricted by the DSM server, and the demand is adjusted.

  Consumers R21, R22, and R23 include solar power generation device PV, storage battery B, and electric vehicle charging device EV in R21 as consumer power generation equipment in addition to consumer load equipment, and solar power generation in R22 and R23. The apparatus PV and the storage battery B are provided. The consumer's photovoltaic power generation device PV and the storage battery B serve as a power supply source in the region. The photovoltaic power generator PV generates power according to the weather conditions, and the storage battery B supplies the power shortage of the power generated by the photovoltaic power generator PV among the power consumption of the electrical load equipment. It is controlled and discharged under the constraints of the remaining charge and performance. The electric vehicle charging device EV can be a load or a power source depending on its operation.

In the consumer energy management system of the present invention, the DSM server, which is a power demand management system installed in the power supply side facility, and the consumer terminal EMS installed in each consumer function in cooperation with each other, Demand adjustment is performed to reduce the amount of electricity used by customers in emergencies such as disasters. Although the case where a consumer has power generation equipment is also conceivable, in this case, demand adjustment is performed to suppress the amount of power used within the range of the total power supply amount including the power generation amount of the consumer power generation equipment.
The present invention can be applied to either case, but here, a case where a power generation device in a consumer is provided will be mainly described. And this consumer shall aim at operating within the range of the power supply capacity by the power generation equipment in a consumer.

  In the consumer energy management system of the present invention in which the DSM server and the consumer terminal EMS function in cooperation, first, each consumer uses the consumer terminal EMS installed in the consumer to use the power usage plan date. Enter the desired usage plan for the load equipment in the customer.

  In this case, it is assumed that there is a difference in owned equipment and operational needs, such as using critical equipment such as medical equipment, among the loads in the consumer. Therefore, in the usage plan, in addition to the desired usage time zone for each customer load, information such as the high priority of using the customer load is essential.

  The use plan of the load device in the consumer desired by the consumer is adjusted including the judgment of the DSM server, and is used as the use plan of the load device in the consumer determined on the power use plan date.

  The customer terminal EMS performs management of energy usage and control of each consumer device (the consumer load device and the consumer power generation device) according to the usage plan of the consumer load device determined on the power usage plan date. Specifically, a customer equipment operation plan pattern is received from the DSM server, and a control signal for changing the operating state is transmitted to each consumer equipment so as to realize this. It is also possible to consider a form in which the consumer equipment operation plan pattern is only displayed on the UI (User Interface) screen of the consumer terminal EMS, and the consumer refers to this to manually change the equipment settings.

  The DSM server proposes a new usage plan for the load equipment in the consumer in consideration of the power supply / demand state in the consumer in response to the usage plan for the load equipment in the consumer desired by the consumer. Specifically, the DSM server functions to maintain a total supply and demand balance of the generated power of the photovoltaic power generation device PV in the target area, the discharge power of the storage battery, and the power consumption of the load equipment in the consumer. In addition, it functions to maximize the power usage needs (convenience and comfort) of consumers in the target area. From the above viewpoint, the DSM server formulates a plan for adjusting the operating state of the load device in the customer's consumer, and distributes it to each customer terminal EMS as a customer device operation plan pattern.

  There are several methods for adjusting the operating state of the load equipment in the consumer, including simple start / stop switching, intermittent operation of air conditioning, thinning lighting, and partial load operation adjustment by adjusting the air conditioning temperature setting. It is done. The plan pattern is updated periodically for 30 minutes and distributed to each customer terminal EMS.

  The customer terminal EMS realizes the above function in cooperation with the DSM server. For this purpose, the customer terminal EMS can input and display the usage plan of the load device in the customer, and is the basis for the judgment in the DSM server. It is necessary to display various information (for example, the relationship between power supply and demand).

  The customer terminal EMS that matches the purpose is configured as an input display terminal having a UI screen as shown in FIG. 3, for example. The customer terminal EMS as an example is divided into upper and lower areas, and the upper area is a usage plan input display field W1 for the load equipment in the consumer, and the lower part is a power supply and demand display field. The usage plan input display column W1 is further subdivided into a plurality of columns, and is composed of a customer ID display column W11, a consumer load device display column W12, and a time-based usage plan input display column W13 from the left side.

  The power supply / demand display column W2 in the lower area is also subdivided into a plurality of columns, and is composed of a general display column W21, a supply / demand balance display column W22, and an hourly power amount display column W23.

  Further, a specific input display example of each column W will be described. First, the display contents in the initial state will be described with reference to FIG. Here, the initial state refers to a state immediately before a consumer's housekeeper inputs a desired use plan of the load equipment in the consumer on the power use plan date (here, for example, July 1). .

  In this initial state, the customer ID display field W11 displays that this customer is R21, the degree of conformity, the set number of points, and the display box B1 for displaying the number of points. The fitness, the number of set points, and the number of points will be described later.

  The plurality of small columns constituting the consumer load device display column W12 indicate that the consumer load device is, for example, an air conditioner, an electric water heater, or a refrigerator, and the degree of conformity and the total demand for each consumer load device. Display boxes B21, B22, and B23 are displayed individually from the top. The total request level will be described later. In addition, when there are other in-consumer load devices, the screen can be moved appropriately by scrolling or the like to be displayed. For each item of load equipment in the consumer, the usage plan for every 30 minutes is input and displayed in the adjacent usage schedule input display column W13 for each time zone, but at this stage, it is still input and displayed. Absent.

  Looking at the power supply / demand display column W2 in the lower area, the left total display column W21 displays a display box B3 for displaying the degree of fitness, the number of set points, and the total frame as total (TOTAL). The total frame will be described later.

  In each of the plurality of small columns constituting the supply and demand balance display column W22, items of photovoltaic power generation PV, storage battery remaining amount, demand load, and supply and demand balance are displayed. For these items, the power value for each 30-minute interval is displayed as a bar graph in the adjacent power amount display column W23 for each time zone, but is not displayed at this stage.

  Thus, in the initial state, only the framework, input, and display items are displayed. Next, an example of a usage plan input stage screen after the consumer's housekeeper inputs a usage plan for the consumer load device desired by the consumer will be described with reference to FIG.

  In this case, the consumer equipment on the planned power usage date requested by the consumer is 1 hour from 6:00 to 7:00 in the morning (display A) and 3 hours from 12:00 to 15:00 in the morning. (Display B) The user wants to use. I would like to operate the electric water heater for one hour from 6:00 to 7:00 in the morning (display C) and the refrigerator all day (display E). In addition, it is also possible to make a conditional request that the user wants to use at least 2 hours out of 3 hours from 12:00 to 15:00 in the daytime.

  The above is the input of the plan according to the demands of the householder of the consumer, but there are those that are input separately from the intention of the householder. For example, since this consumer uses an electric water heater, an electric water heater load is generated due to the use of late-night power at night. This is reflected on FIG. 5 as any two hours (display D) in the early morning time zone. In this state, since the display D is not a fixed time zone, it is temporarily displayed as a time zone of 2 hours until 6:30 as an early morning time zone.

  The customer terminal EMS is provided with a UI screen such as a touch panel as a means for inputting or displaying, and can display, erase, set length, input various characters and numerical values, and display necessary icons. It is supposed to be. Although this means is not particularly limited, the functions that the customer terminal EMS should have for input and display will be described later.

  FIG. 6 shows specific examples of icons A to E on the use plan input screen input by the customer's housekeeper in FIG. The icons A to E indicate the length of time that the operation is desired, and the icons A and C indicate that the driver desires to drive for 1 hour in this time zone. “Min” of icons B and E means the minimum driving time for which driving is desired. However, since the length of icon B ranges from 3 o'clock to 12 o'clock from 3 o'clock, at least of these 3 hours It means that you want to drive for 2 hours. The icon E means 24 hours, so it means that you want to drive all day. The icon D is temporarily displayed during this time period.

  For example, 8 for icon A, 3 for icon B, and 10 for icon C are entered in the small windows provided inside each icon. This numerical value in the window is the degree of demand for each consumer device, and the higher the numerical value, the higher the demand for using this consumer device. The use of a refrigerator with a numerical value of 10 throughout the day and the use of an electric water heater at 6 o'clock is higher than other appliances in the consumer, indicating the necessity of use.

  Furthermore, as long as a display space is allowed, a lot of information is displayed in the small window in the icon. “Cold” of icon B, “Storage” of icon D, and “On” of icon E are the operation states (operation modes) of the devices in each consumer, and mean cooling operation, heat storage operation, and operation state On, respectively. . The icon B “28” means that the set temperature of the air conditioner is 28 degrees. The “input” and “Fix” icons will be described later.

  The usage plan of the load device in the consumer desired on the power usage plan date input in this way is the power demand management system (DSM server) installed in the power supply side facility such as a sales office via the communication network NW. ). Hereinafter, returning to FIG. 1, the DSM server will be described.

  The DSM server in FIG. 1 includes a data management unit 34, a customer equipment operation planning unit 32, a customer terminal EMS communication unit 33, an input / output unit 30, and an overall control unit 31.

  Among these, the data management part 34 is comprised by database DB holding various data for the effective formulation of a consumer apparatus operation plan. The main databases are device operation pattern data DB1, device operation request data DB2, request fitness data DB3, supply and demand balance data DB4, supply capability prediction data DB5, consumer load device power consumption data DB6, weather prediction data DB7, device characteristics This is the data DB 8, and the data management unit 34 manages these data.

  In the following, examples of major databases will be described. First, the device operation pattern data DB1 is data that gives the change contents of the operation state of each customer device at each time within the target period. In particular, changes that can be performed from the outside of the customer's equipment are targeted.

  Here, the “change in operating state” will be described first. For example, in the case of an air conditioner, the power source On, the power source Off, the operation mode switching, the change of the set temperature, and the like correspond to the change contents of the operation state, and the power amount consumed by the air conditioner is changed by these changes. In the case of an electric water heater, the power source On, the power source Off, the start and stop of the heat storage operation, the operation mode switching, and the like correspond to the change contents of the operation state, and the electric energy consumed by the electric water heater is changed by these changes. . In the case of a dryer, there are a power source On, a power source Off, an operation mode switching, and the like.

  On the other hand, there are some which have a change content only by turning on and off the power supply. For example, the power source On and the power source Off are provided for the television, the power source On and the power source Off are provided for the refrigerator, and the washing machine has a power changing means only by the power source On and the power Off.

  An example of the device operation pattern data DB1 is shown in FIG. This equipment operation pattern is created for each customer ID. For example, in the case of the customer R21, the change contents of the operating state for each consumer device used here are summarized in time series.

  In FIG. 7, when attention is paid to, for example, a refrigerator as a consumer device, this is operated all day as shown in FIG. Therefore, for example, when described in units of 30 minutes, the operation mode is set to On at any time.

  In the plan of FIG. 5, the air conditioner is used for 1 hour from 6:00 to 7:00 in the morning and for 3 hours from 12:00 to 15:00 in the daytime. For this reason, as the stored contents of this time zone, the operation mode is cooling and the set temperature is stored as 28 degrees. There is no information on the change contents other than the time zone, which means that the air conditioner is stopped. Note that the set temperature of the air conditioner is 28 degrees is a part of the items included in the setting items by the customer terminal EMS and set by the householder.

  The operation mode of the electric water heater is set to On at midnight until 6 am. Although not shown in FIG. 5, it is also stored that the television is used from 12:00 to 15:00.

  Next, the device operation request data DB2 in the data management unit 34 will be described. This is data that gives which consumer device each consumer wants to operate at what time and in what degree of demand. This data is information input by each customer via the customer terminal EMS and is registered in the DSM server.

  The data model of the equipment operation request data DB2 becomes an important element as a means for taking in the needs of consumers in the power demand management system (DSM server). The device operation request data DB2 is a bundle of a plurality of single request data. That is, when the usage plan for each consumer device is single request data, the device operation request data DB2 is a summary of the usage plans of all the consumer devices for this consumer for 24 hours.

  As described above, each single request data is information described in the use plan input display field W13 for each time zone for the small column for each column in the consumer load device display field W12 in FIG. , Consumer equipment, target period, operating conditions, operating time, and request data.

  Note that the information on the operating condition and the request level is information that is input as characters or numerical values in part of the icons AE in FIG. 5 and is information that is set by the customer. Of these, for example, the operating condition is to set the set temperature of the air conditioner to 28 ° C., and the required level is a numerical expression of the degree of desire to use the consumer load device. For example, if the required level of air conditioner is 3 and the required level of TV is 1, it means that even if you endure the TV, you want to use the air conditioner.

FIG. 8 shows a specific example of the device operation request data DB 2 that summarizes the usage plans of the load devices in the customer input as shown in FIG. The details of the description contents (single request data) of each column in the example of FIG. 8 can be easily understood from the above description and FIG. Here is a reference explanation of matters that can be read from this database. By registering as in the example of FIG. 8, the following request can be expressed.

  Single requirement No1: The degree of requirement is 10, and from this, the constant operation of the refrigerator expresses that the needs are higher than other load devices in the consumer.

  Single requirement No2: I would like the air conditioner to be air-cooled at a set temperature of 28 ° C. or less between 12:00 and 15:00 on the scheduled power use (7/1) However, the degree of request is 3, indicating that the priority is relatively low.

  Single request No. 2 & 3: This combination expresses a request to operate both the TV and the air conditioner between 12:00 and 15:00 on the planned power use date (7/1), but prioritize the air conditioner if simultaneous operation is difficult. Yes.

  Single requirement No4: The demand for an electric water heater is as high as that of a refrigerator, but it is not enough for continuous operation at midnight. The operating time zone expresses a requirement that it can be determined with priority given to the operation of equipment such as a refrigerator and that there is room for adjustment.

  Single request No. 4 & 5: This condition expresses a request to preferentially operate the air conditioner between 6 o'clock and 7 o'clock if the heat storage operation of the electric water heater can be operated for 1 hour between 0 o'clock and 6 o'clock. ing.

  Single request No. 4 & 6: This combination expresses a request to operate the heat storage operation for a minimum of 1 hour and a remaining capacity of 2 hours between 0 o'clock and 6 o'clock on the planned power use date (7/1).

  Single request No. 7: It is set how much electric power that can be used for an arbitrary purpose is secured.

  FIG. 9 shows a specific example of the required fitness data DB3. The requirement fitness data DB3 is data that gives an evaluation value of the degree to which the device operation pattern data DB1 satisfies the device operation request data DB2. In the customer equipment operation plan, the equipment operation pattern data DB1 is obtained and output so that the required conformity is as large as possible.

  The required fitness data DB3 is composed of the fitness for each consumer device and the total fitness. The degree of conformance for each device is extracted from the individual device operation request data (single request data) in the device operation request data DB 2 that satisfies the device operation pattern data, and the required level is aggregated for each customer device. It is the total value. FIG. 9 shows an example of the requirement conformity regarding the device operation request data DB2 in FIG. 4 of the device operation pattern DB1 in FIG. The degree of conformity in the specific case for the customer R1 is as follows.

  Since the refrigerator is always in operation from 0:00 to 24:00, the degree of conformity is “10” with the required value as it is. Since the air conditioner is operated for 4 hours from 6 o'clock to 7 o'clock and from 12 o'clock to 15 o'clock, the fitness level is the sum of the numerical values “3” and “8” of the demand level, and the fitness level is “11”. Since the electric water heater is in the heat storage operation for 1.5 hours from 0:00 to 7:00, the fitness is “10” as it is. Since the television is operated for 3 hours from 12 o'clock to 15 o'clock, the fitness is “1” as it is for the required degree. For this reason, the total value is the total value “32” of the fitness.

  Returning to FIG. 1, the supply and demand balance data DB4 of the data management unit 34 is the supply and demand balance (= total supply capacity−total power consumption) and the photovoltaic power generation apparatus when the devices are operated with the individual device operation pattern data DB1. This is data that gives a change pattern of PV power generation output, storage battery charge / discharge power, and power consumption of consumer equipment. An equipment operation pattern in which the supply-demand balance <0 is an infeasible solution as a planning problem. Actually, the protection device of each device and breaker operates and a power failure occurs.

  An example of the concept of supply and demand balance will be described in the state from 4 to 6 in the plan of FIG. In this case, the total supply capacity is only the storage capacity of the storage battery, and the power generation output of the solar power generation device PV cannot be expected at night. On the other hand, as the total power consumption, the heat storage operation of the electric water heater is an object.

  In this balance calculation, it is confirmed that it can be supplied with only the storage capacity of the storage battery until, for example, 8:00 when the power generation output of the photovoltaic power generation device PV rises. Similar supply and demand balance confirmation is executed for all the load devices in the customer and all the power generation devices in the customer planned for other time zones.

  If there is an equipment operation pattern in which the supply-demand balance <0, a proposal plan from the customer cannot be executed, and the revised plan is presented from the DSM server.

  The supply capability prediction data DB5 is used in creating supply / demand balance data in the supply / demand balance data DB4. Specifically, the weather characteristic data of the power generation output of the solar power generation device PV is managed in advance and calculated by applying weather prediction data acquired from the outside, or the power generation output prediction value itself is calculated by an operator or an external system. Give from.

  The in-consumer load device power consumption prediction data DB6 is used in the supply and demand balance data creation in the supply and demand balance data DB4. Characteristic data of power consumption (meteorological characteristics, characteristics at startup, partial load characteristics at various operation settings, etc.) of each consumer's load equipment are managed in advance, and weather forecast data DB7 and equipment operation pattern data DB1 acquired from the outside Calculate by applying.

  The weather forecast data DB 7 is data for managing predicted values of weather conditions (weather, solar radiation intensity, temperature, humidity, etc.) that affect the power generation output of the photovoltaic power generation device PV and the power consumption of consumer load devices. Obtain from the operator or external system.

  The device characteristic data DB 8 is data for managing in advance device characteristic data that affects the power generation output of the photovoltaic power generation device PV, the charge / discharge power of the storage battery, and the power consumption of the load device in the consumer. The rated output and weather characteristics of the photovoltaic power generator PV, the charging capacity of the storage battery, the upper limit and efficiency of charge / discharge power, the rated power of the load equipment in the consumer, the weather characteristics, the startup characteristics, and the partial load characteristics under various operation settings, etc. .

  1 uses the weather forecast data DB7, the power generation forecast data DB6 of the solar power generation device PV, the equipment operation request data DB2, the equipment characteristic data DB8, etc., and the equipment operation pattern DB1 of the consumer equipment. Create

  The processing in the customer equipment operation planning unit 32 can be roughly divided into three stages.

  The first stage is the acquisition of the plan condition data, and the weather forecast data DB7, the power generation forecast data DB5 of the photovoltaic power generation device PV, the equipment operation request data DB2, and the equipment characteristic data DB8 are obtained from the data management unit 34 within the planning target period. To do.

  The second stage is the creation of a consumer equipment operation pattern. The third stage is the output of the equipment operation pattern plan result, and the created equipment operation pattern is output and stored in the data management unit 34.

  Hereinafter, the process for creating the second-stage consumer equipment operation pattern, which is the core of the consumer equipment operation planning unit 32, will be described.

  In addition, when executing the creation process of the consumer device operation pattern, there are a plurality of device operation requests, which restrict each other. For this reason, simply setting the operating time in order from the highest required level may not necessarily maximize the total fitness.

  Therefore, in specific cases, in addition to strategic rule-based methods based on know-how, heuristic methods such as GA and tabu search can be applied. Here, the following logic is explained as a strategy rule base.

  The details of the consumer device operation pattern creation process will be described with reference to FIG. 10, and the outline thereof is as follows. First, create a pattern when all customer requests are accepted. For all registered device operation requests, create a pattern in which all operating hours are in operation. For example, patterns are prepared for 24 hours at intervals of 30 minutes.

  Next, the supply and demand balance at each time is checked. As a result, when it can be confirmed that the supply exceeds the demand at any time for 24 hours, the initial plan P1 is presented as the final plan P2.

In this case, the surplus supply capacity may be used by other customers.
Alternatively, the supply surplus capacity may be returned to this consumer, and a new plan may be proposed in a direction that permits operation of other load devices in the customer other than the initial plan.

  As a result of checking the supply and demand balance at each time in order from the start time of the target period, if the supply and demand balance is negative, that is, if the supply capacity is insufficient, one load device in the consumer operating at or before that time is stopped. Let The reason for including the time before this time is that there are storage batteries in the area, and stopping the operation of the equipment before that time will increase the remaining charge of the storage battery, which can be expected to improve the supply-demand balance at that time. It is.

  Details of the customer device operation pattern creation process will be described with reference to FIG. First, in step S100, a pattern (referred to as an initial plan P1) when the customer desires and all the inputted customer requests are accepted is created. For example, patterns are prepared for 24 hours at intervals of 30 minutes.

  In step S101, the processing time zone is set to the initial state t0. In the following, in calculating the supply and demand balance, the demand is load equipment in the consumer, and the supply is a storage battery and solar power generation. The balance between supply and demand is confirmed by calculating the difference in size for each processing time zone every 30 minutes over 24 hours.

  In step S102, the power consumption of the in-customer load device in the time zone is first calculated for the supply-demand balance calculation. This calculates the power consumption of the said time slot | zone with reference to apparatus characteristic data DB8 based on the operation condition of the said time slot | zone of apparatus operating pattern DB1.

  In step S103, the generated power in the same time zone is obtained. This is obtained by referring to the remaining amount of the storage battery and calculating the supply amount by the photovoltaic power generation PV from the supply power prediction data DB5.

In step S104, the supply and demand balance for the time period is calculated according to equation (1), and the supply and demand balance at time t is calculated.
[Equation 1]
Supply-demand balance (t) = Total generated power (t)-Total power consumption (t) (1)
Here, in the formula (1), the amount of power generated by the photovoltaic power PV is added to the total generated power (t). The amount of power generated by the photovoltaic power generation PV reflects the prediction result of the supply power prediction data DB5. Since the amount of power generated by solar PV PV cannot contribute at night, the amount of discharge of the storage battery is the supply amount.

In calculating the supply-demand balance, this calculation is repeated for each time zone. For this reason, in order to calculate the next time zone, it is necessary to reflect the operation result of the storage battery in the time zone in the remaining amount of storage battery in the next time zone. For this reason, in the supply and demand calculation in step S104, the storage battery charging power and the storage battery discharging power in the time zone t are further calculated by the equations (2) and (3), and the supply and demand is calculated by the equation (4) reflecting the difference. It is good to have the balance updated.
[Equation 2]
Storage battery discharge power (t) = Min {Max {-supply-demand balance (t), 0}, allowable discharge power (t)}
(2)
[Equation 3]
Battery charge power (t) = Min {Max {Supply-demand balance (t), 0}, Allowable charge power (t)}
.... (3)
[Equation 4]
Supply-demand balance (t) = Supply-demand balance (t) + Battery discharge power (t)-Battery charge power (t)
.... (4)
In step S105, the result of equation (4) is determined. When the supply in this time zone exceeds the demand, the time zone is updated in step S106, and the next time zone is executed again from step S102.

  If it is determined in step S105 that the supply-demand balance (t) <0 and the supply-demand balance is not established in time zone t, the process moves to step S107, and the load equipment in the customer operating in this time zone is stopped. Again, try to determine the result of equation (4).

  Specifically, in step S107, it is determined whether there is one or more consumer load devices operating during this time period. If there is only one consumer load device operating in this time zone, it is determined in step S108 that this consumer load device is not used in that time zone, and the flow returns to step S102 to calculate the supply-demand balance again.

  In addition, when the result of recalculation assuming that the load device in the consumer is not used in the relevant time zone is also unsatisfied with the supply-demand balance, this time, going back to the time zone, “Do not use the load device in the consumer time zone” As a matter of fact, recalculation will continue until the conditions are met.

  Needless to say, the condition that does not meet the conditions is reflected in the equipment operation pattern data DB1 and is finally proposed to the customer as a modified plan P2 different from the initial plan P1. The correction plan P2 is corrected device operation pattern data, which is a corrected device operation pattern.

  If it is determined in step S107 that there are a plurality of devices that are operating, the device with the smallest degree of fitness that is reduced by the stop is selected according to the following concept. This device selection process is executed in step S109.

  In an example of the device selection process when there are a plurality of operating devices, the request rate per 30 minutes is calculated for each device operation request as follows. Case 1 is a case where the minimum operation time is not interrupted due to a stop, and Case 2 is a case where the minimum operation time is interrupted due to a stop.

In the former case, RQITEM 30i is the request rate per 30 minutes for the device operation request i, RQITEMi is set to the device operation request i, the request rate is set to TNUMi is the device operation request i, and the number of 30-minute increments of the operation time zone is set to MINOTi Formula (5) is implemented as the minimum operation time set in the device operation request i.
[Equation 5]
RQITEM30i = RQITEMi ÷ TNUMi (5)
In the latter case, equation (6) is implemented.
[Equation 6]
RQITEM30i = RQITEMi ÷ TNUMi × MINOTi (6)
For the numerical value obtained by the above calculation, the RQITEM 30i selects the smallest device operation request i. When there are a plurality of candidates, the one with the later registration order is selected with priority.

  Further, the operation of the selected device operation request i is stopped at the time or a certain time before that time. Furthermore, if the remaining charge of the storage battery sticks to the upper limit due to the stoppage of the device before that time, the stop is canceled.

  If the supply-demand balance at that time is still negative, add a device that will be stopped in the same way. If all the devices at that time are stopped, the supply-demand balance at that time will be 0 or more unless the supply-demand balance before that time is negative. Balance can be 0 or more.

  The above adjustment is performed from the start time to the end time of the target period. As a result, in step S105, when power supply is secured in all time zones, the process proceeds to step S110, and a new device operation pattern in which power supply is ensured is recorded in the device operation pattern data DB1. The new equipment operation pattern is sent to the customer R21 as a correction plan and displayed on the customer terminal EMS. FIG. 11 shows an example of a UI screen that reflects the correction plan finally proposed from the DSM server.

  In the correction screen, the determination result of the DSM server is mainly reflected in the power supply / demand display column W2 in the lower area. The power value for each 30-minute interval is displayed as a bar graph in the hourly power amount display column W23 for each item of the photovoltaic power generation PV, storage battery remaining amount, demand load, and supply / demand balance constituting the supply / demand balance display column W22. .

  According to this, the amount of power generated by the photovoltaic power generation PV increases after 6 o'clock and peaks during the daytime, and the demand load increases after 6 o'clock and 12 o'clock using the air conditioner. The remaining amount of the storage battery covers the morning water heater load as a night load, recovers by receiving charging by the photovoltaic power generation PV in the no-load state in the morning, and prepares for the peak load in the afternoon. As a result, the supply and demand balance for each time zone fluctuates positive and negative each time, but it has been verified that the supply and demand balance is ensured as a total by charging and discharging the storage battery.

  In addition, on the correction screen, the use plan of the load device within the customer determined by the DSM server is reflected in the load device display column W12 within the customer. The contents of correction cover not only the shortening of the operation time of the load equipment in the customer and the change of the operation state or the change of the operation temperature, but also the time zone change.

  Moreover, in the correction screen of FIG. 11, the temporary display about an electric water heater is shown as a fixed display. In FIGS. 5 and 6 at the planning stage, it was intended to use 2 hours in an appropriate time zone from night to early morning, so what was temporarily displayed at the position until 6:30 is 6:00 in FIG. Display based on the confirmed information for 2 hours until.

  The customer terminal EMS has the following functions and roles including input and display in order to realize the above functions in cooperation with the DSM server. In order to achieve these functions, functions to be performed by the input / output unit 30 of the DSM server are also included.

  First, the input / output unit 30 in FIG. 1 includes a device operation pattern data DB1, a device operation request data DB2, a request fitness data DB3, a demand-and-supply balance data DB4, a supply capability prediction data DB5, a consumer load device power consumption prediction data DB6, a weather. Input and display of each data of prediction data DB7 and apparatus characteristic data DB8 are performed.

  Further, the input / output unit 30 includes a user interface for input display of the customer terminal EMS illustrated in FIG. 11 and includes the following configuration. This is hereinafter referred to as intelligent & interactive UI, or simply IIUI.

  The following functions are provided as setting means for request contents in the customer terminal EMS.

  Clicking on a blank portion of the plan target period (time-based use plan input display field W13) creates a new request frame (A to D). The width of the request frame in the time axis direction is set in accordance with the time zone in which the consumer load device is to be operated, and is adjusted by dragging the left and right vertical lines of each frame. Set values such as operating conditions, minimum operating time, request level, etc. by pull-down settings or by clicking the input button and entering them in the sub dialog.

  The following functions are provided as means for setting the total required frequency frame (number of points) for each customer in the customer terminal EMS.

  The DSM server operator sets the number of points as the total required frequency frame of each customer. The number of set points for the load equipment in the customer is displayed by totaling the values input in each request frame. The number of set points for the customer is displayed by totaling the set points for each load device in the customer. If the number of points set for each consumer exceeds the number of points for that customer, an error message is displayed.

  The following functions are provided as interactive interlocking display means for request input and plan results in the customer terminal EMS.

  When the request setting button is clicked, the contents registered on the screen are output to the device operation request data. When the plan execution button is clicked, a device operation plan is formulated based on the output device operation request data file, and the resulting operation pattern is displayed on the same screen. Each request frame is displayed in white when the request is entered, and after execution of the plan, it is displayed in blue when it is in operation, and red when it is rejected. The degree of conformity is calculated and displayed for each load device and consumer in each consumer.

  As a supply and demand balance display means in the customer terminal EMS, the following functions are provided.

  The graph shows the total supply in the target area and the supply-demand balance for each customer based on the equipment operation pattern of the plan result.

  The following functions are provided as means for adjusting the plan result in the customer terminal EMS.

  If the Fix button is clicked for the rejected red request frame, the request level of the request frame is largely converted by a predetermined constant multiple internally and reflected in the plan calculation. After that, by executing the plan, an equipment operation plan is formulated on the assumption of the fixed request frame. By this means, if the device operation request is rejected, it is possible to specify compulsory permission so as to always permit the device operation request.

  The following functions are provided as intelligent plan support means in the customer terminal EMS.

  When the red request frame that has been rejected is clicked, the request that is to be rejected when it is fixed is displayed in a blinking manner or the like. Among the rejected red request frames, those that have a small decrease in fitness when they are fixed are distinguished and displayed by flashing blue. When the load device in the consumer is registered, the request frame is displayed by default in the time zone where the usage frequency is high or the general use time zone of the load device in the consumer from the past setting status for each consumer. Thus, when the rejected device operation request is forcibly permitted, the device operation request that will be rejected instead is displayed in a distinguishable manner. In addition, the rejected device operation request that has the least influence when the forced permissible designation is specified is displayed in a distinguishable manner.

  The following functions are provided as means for setting the use form of the consumer's power source and storage battery in the customer terminal EMS.

  A flag is set as to whether or not the customer's power supply or storage battery is used in the area.

  In addition to the above, the communication unit of the customer terminal EMS acquires the device operation pattern data from the data management unit 34 and distributes it to the customer terminal EMS of each customer R via the communication network NW. In addition, the screen of the input / output unit UI is distributed to the display means of each customer terminal EMS via the communication network NW.

  The customer terminal EMS performs processing for changing the device operation state at each time according to the received device operation pattern data. Further, the received IIUI data is output to the display means, the operation of the customer is accepted, and the operation information is transmitted to the input / output unit via the communication network and the customer terminal EMS communication unit. That is, each consumer operates the IIUI of the input / output unit of the remote DSM server on the screen of the consumer terminal EMS.

  In the above description, the device power consumption characteristic data, the storage battery characteristic data, the PV power generation device PV power generation prediction data, and the weather prediction data are described as an example. May be given to.

  Moreover, although the case where there are a plurality of consumers has been described, it is clear that even if there is only one customer, it is naturally and easily degenerated and realized. When the number of customers is one, the function of the DSM is degenerated as the function of one customer and is integrated and mounted on the customer terminal EMS.

  Further, it is obvious that the customer terminal EMS may be realized independently, or may be realized as a part of customer equipment such as a solar power generation device PV or a storage battery.

  Furthermore, even for customers who do not have solar power generation devices PV or storage batteries, the plan is proposed based on the same idea for consumers who want to keep the total amount of power within a predetermined range. On the other hand, it can be applied and used by calculating the supply and demand balance and proposing a revised plan.

  In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments are described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. In addition, it is possible to add, delete, and replace other configurations for a part of each embodiment.

  Each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files that realize each function can be stored in a recording device such as a memory, a hard disk, or an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

  In addition, the control lines and information lines are those that are considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

R: Consumer G: Power generation equipment L1: Transmission line Tr1: Transformer installed L2: High voltage distribution line R1: Large scale customer Tr2: Transformer on pole L3: Low voltage distribution line DSM: DSM server NW: Communication Network EMS consumer terminal W1: Use plan input display column W11 of consumer load device: Customer ID display column W12: Load device display column W within customer
W13: Use plan input display field by time zone W2: Electricity supply / demand display column W21: General display column W22: Supply / demand balance display column W23: Electricity display column by time zone B21, B22, B23: Display box PV: Solar power generation device EV: Electric car

Claims (11)

A consumer energy management apparatus connected via a network to a power demand management system that calculates the power supply / demand balance in a consumer and determines the operation pattern of load equipment in the consumer,
The consumer energy management device includes: an input unit that inputs a device operation request that is data in which a request is associated with a condition relating to a time zone and an operation state that the consumer wants to operate for each load device in the consumer; and the power A display means for displaying a correction device operation pattern created in the demand management system and maximizing a total value of the required degree of the satisfied conditions among the input conditions;
And the said energy means of a consumer energy management apparatus characterized by displaying what was rejected and what was rejected among the input operation request | requirements are displayed on the same screen. In the consumer energy management device according to claim 1,
The consumer energy management apparatus according to claim 1, wherein a change pattern of a supply and demand balance of the target consumer according to the modified device operation pattern is displayed on the same screen. In the consumer energy management device according to claim 1 or 2,
The consumer energy management apparatus according to claim 1, wherein the input means includes means for designating forcible permission so as to always allow the equipment operation request when the equipment operation request is rejected. In the consumer energy management device according to claim 3,
The consumer energy management apparatus according to claim 1, wherein the display means includes means for distinguishing and displaying a device operation request to be rejected instead when the rejected device operation request is forcibly permitted. In the consumer energy management device according to claim 3 or claim 4,
The consumer energy management apparatus according to claim 1, wherein the display means includes means for distinguishing and displaying a rejected device operation request that has the least influence when forced permissible designation is made. In the consumer energy management device according to any one of claims 1 to 5,
The input means includes a means for setting each device to a default in a time zone that is frequently used in the past device operating status of the customer or a general usage time zone of the device when the device operation request is input. A consumer energy management device comprising: A consumer energy management system in which a power demand management system and a consumer energy management device installed in a consumer are connected via a network,
The customer energy management device creates and displays a device operation request that is data in which the degree of request is associated with the conditions related to the time zone and operation state for each load device in the customer in the consumer,
The power demand management system calculates a power supply / demand balance when the operation of the consumer is performed based on the device operation request obtained via the network, and creates a corrected device operation pattern,
The consumer energy management device displays the modified device operation pattern created in the power demand management system by distinguishing between allowed and rejected device operation requests among the device operation requests. Consumer energy management system. The customer energy management system according to claim 7,
The power demand management system provides a modified equipment operation pattern that maximizes the total value of the degree of requirement satisfied among the equipment operation requests. In the consumer energy management system according to claim 7 or claim 8,
The consumer who installed the consumer energy management device includes a photovoltaic power generation device and a storage battery, and the power demand management system performs a power supply / demand balance calculation using the photovoltaic power generation device and the storage battery as a power supply source. A consumer energy management system characterized by providing a modified equipment operation pattern. In the consumer energy management system according to claim 7 or claim 8,
A consumer who has installed the consumer energy management device is limited in power usage within a predetermined period, and the power demand management system performs a power supply / demand balance calculation to comply with the power usage within the predetermined period. A consumer energy management system characterized by providing a modified equipment operation pattern. In the consumer energy management system according to any one of claims 7 to 10,
The consumer energy management system according to claim 1, wherein the consumer energy management apparatus executes an operation of a load device in a consumer of the consumer according to a modified equipment operation pattern.

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