JP5425857B2 - Power system supply and demand control method and information processing apparatus - Google Patents

Description

  The present invention relates to a power supply and demand control method and an information processing apparatus, and more particularly to a technique for enabling supply and demand control in a power system to be performed appropriately and at low cost.

  Recently, power generation methods using natural energy such as solar power generators for household use have attracted attention, but the power generation method using natural energy tends to fluctuate depending on weather conditions and the like. There are concerns about the effects on the system (voltage fluctuation, frequency fluctuation).

  As a technique for preventing the influence on the power system, Patent Document 1 discloses that a switch agent arranged in a section switch is an initiator in a section separated by a section switch of the power system, and a generator and a load in the section. The distributed agent that controls the distributed power supply and load in the section and the supply and demand in the downstream section by using the contract net protocol between the agents as the Responder and the agent placed in the downstream switch as the Responder A power supply control system is described.

  Patent Document 2 discloses that a switch agent has a “dissatisfaction level” according to the output of a generator agent (the difference between the current output cost of each generator and the cost of the most efficient output of the generator. ) As the evaluation value for unit control, and the “dissatisfaction level” is aggregated, the “generator operating status” in the unit microgrid is obtained, and the current power output of the generator in the unit microgrid and the maximum The difference from the power output at the efficiency point is counted as “over / under power”, and the generator is selected and started in the microgrid based on “unsatisfied”, “generator operating status” and “over / under power”. -It describes that stop control and output control are performed.

JP 2008-301641 A JP 2010-213454 A

  Incidentally, in a power system in which a large number of generators such as a distributed power source are connected as in the control systems disclosed in Patent Document 1 and Patent Document 2, it is required to perform supply and demand control appropriately and at low cost.

  An object of the present invention is to provide a power supply and demand control method and an information processing apparatus capable of appropriately performing supply and demand control in a power system at low cost.

  One aspect of the present invention for achieving the above object is a power supply and demand control method including a plurality of generators, wherein at least two of the plurality of generators include first information. Second information communicable with each of the first information processing devices, which is provided with a processing device and controls the output of the generator to which the first information processing device is attached via the first information processing device. Each of the first information processing devices acquires a current output of the generator to which the processing device is attached, transmits the acquired output to the second information processing device, and the second information processing device The information processing device stores the relationship between the output and the fuel cost for each of the generators attached to the first information processing device, and the current information transmitted from the first information processing device Receive the output, and store the relationship and the received Based on the current output, a predicted output that is an output of the generator corresponding to power demand after a predetermined time in the power system is calculated, and the calculated predicted output is used as the generator in the power system. The prediction control that is the output control of the allocated predicted output is distributed to at least one of the generators attached to the first information processing apparatus so that the fuel cost of the first information processing apparatus is the lowest. The first information processing apparatus transmits a prediction control command value, which is information for notifying the first information processing apparatus attached to the generator that has performed output distribution, to the first information processing apparatus. The processing device performs local demand control, which is supply and demand control based on local demand in the power system, on the generator to which the processor is attached, and generates power of the generator to which the processor is attached. And when receiving the predicted control command value transmitted from the second information processing device, based on the difference between the received predicted control command value and the stored power generation capacity, the region It is determined whether or not the required amount control can be performed. When it is determined that the required amount control is possible, the regional required amount control is performed.

  According to the present invention, the second information processing device calculates a predicted output that is the output of the generator corresponding to the power demand after a predetermined time in the power system with the lowest fuel cost of the generator in the power system. The calculated predicted output is distributed to the generator attached to the first information processing apparatus, and the first information attached to the generator that has performed the prediction control that is the output control of the distributed predicted output. A prediction control command value that is information to be executed by the processing device is transmitted to the first information processing device. On the other hand, when the first information processing device receives the prediction control command value, the received prediction control command value is received. Since it is determined whether or not it is possible to perform the local requirement amount control based on the difference between the power generation capability and the own power generation capability, and the local requirement amount control is performed when it is determined that it is possible, the first information processing The device uses the predicted control command value and its power generation In response to a force, it is possible to suitably perform regional demand control. Thereby, the supply-and-demand control in an electric power system can be performed appropriately and at low cost.

  Another aspect of the present invention is a power supply / demand control method for the power system, wherein the first information processing apparatus stores the regional requirement amount, and the local requirement amount is stored in the generator to which the first information processing apparatus is attached. If it is determined that control is possible, the local request amount controllable information, which is information indicating that the regional request amount control can be performed, is transmitted to the other first information processing apparatus. When the area request amount controllable information is received from another first information processing apparatus, the stored area request amount is decreased, and the area request is based on the reduced area request amount. Quantity control is to be performed.

  According to the present invention, when the first information processing apparatus determines that it is possible to perform the regional requirement amount control on the generator to which the first information processing apparatus is attached, When the local request amount controllable information, which is information indicating that the request amount control can be performed, is transmitted and the local request amount controllable information is received from another first information processing apparatus, the stored region Since the request amount is decreased and the regional request amount control is performed based on the reduced regional request amount, when a plurality of first information processing devices can perform the regional request amount control, the plurality of first information processing devices Each of them can cooperate and appropriately control the regional demand. Thereby, the supply-and-demand control in an electric power system can be performed more appropriately.

  In addition, the subject which this application discloses, and its solution method are clarified by the column of the form for inventing, and drawing.

  According to the present invention, supply and demand control in an electric power system can be performed appropriately and at low cost.

It is a figure explaining the schematic structure of electric power system. It is a figure explaining the hardware constitutions of General Master. It is a figure explaining the main functions with which General Master is provided. It is a figure explaining an example of the local station information 160 (GM). It is a figure explaining an example of an output fuel cost characteristic table (GM) 170. It is a figure explaining the main functions with which Master is provided. It is a figure explaining an example of the local station information 260 (M). It is a figure explaining an example of an output fuel cost characteristic table (M) 270. It is a figure explaining an example of a group output fuel cost characteristic table (M) 280. It is a figure explaining the main functions with which subMaster is provided. It is a figure explaining an example of the local station information 360 (SM). It is a figure explaining an example of an output fuel cost characteristic table (SM) 370. It is a figure explaining an example of a group output fuel cost characteristic table (SM) 380. It is a figure explaining the main functions with which a slave is provided. It is a figure explaining an example of group output fuel cost characteristic (SL) 460. It is a figure explaining an example of output fuel cost characteristic table (SL) 470. It is a flowchart explaining output fuel cost characteristic (M) memory | storage process S1700. It is a flowchart explaining generator current output acquisition process S1800. It is a flowchart explaining a generator present output reception process S1900. It is a flowchart explaining all generator present output transmission processing S2000. It is a flowchart explaining prediction control notification processing S2100. It is a figure explaining an example of the information which General Master memorizes. It is a flowchart explaining demand power fluctuation prediction processing S2111. It is a figure which shows an example of the relationship between the function y (t), the function yi (t), and xi. It is a flowchart explaining minimum fuel cost distribution process S2113. It is a figure which shows an example of the relationship between the fuel cost of each generator 5, and the output range in each of "generator 1", "generator 2", ... "generator n". It is a figure which shows an example of minimum fuel cost distribution (Fr (Pr)). It is a flowchart explaining supply and demand control processing S2800. It is a figure explaining an example of the calculation method of output command value (Pc). It is a figure explaining an example of the supply-and-demand control which General Master performs. It is a flowchart explaining output fuel cost characteristic (SM) memory | storage process S3100. It is a flowchart explaining generator current output acquisition process S3200. It is a flowchart explaining the generator present output reception process S3300. It is a flowchart explaining the generator present output transmission process S3400. It is a flowchart explaining all generator present output reception processing S3500. It is a flowchart explaining prediction control command value transmission processing S3112. It is a flowchart explaining the detail of minimum fuel cost distribution process S3614. It is a flowchart explaining supply-and-demand control processing S3800. It is a figure explaining an example of EDC command value (Pe) which Master generates. It is a flowchart explaining output fuel cost characteristic (SL) memory | storage process S4000. It is a flowchart explaining a generator present output acquisition process S4100. It is a flowchart explaining generator current output reception process S4200. It is a flowchart explaining the generator present output transmission process S4300. It is a flowchart explaining all generator present output reception processing S4400. It is a flowchart explaining prediction control command value transmission processing S4012. It is a flowchart explaining minimum fuel cost distribution processing S4514. It is a flowchart explaining supply and demand control processing S4700. It is a figure explaining an example of EDC command value (Pe) which subMaster generates. It is a flowchart explaining a generator present output acquisition process S4900. It is a flowchart explaining a generator present output transmission process S5000. It is a flowchart explaining all generator present output reception processing S5100. It is a flowchart explaining supply and demand control processing S5200. It is a figure explaining an example of EDC command value (Pe) which slave generates.

  FIG. 1 shows a schematic configuration of a power system 1 described as the present embodiment. The power system 1 is, for example, a commercial power distribution system or a microgrid, and includes a plurality of generators 5.

  The generator 5 is, for example, a generator (solar generator, hydroelectric generator, wind generator, etc.) using natural energy, a cogeneration generator (diesel generator, gas turbine generator, gas engine generator, etc.), etc. It is.

  Each of the generators 5 (1) is provided with a first information processing apparatus 10 (1) (hereinafter also referred to as “Master”). Each of the generators 5 (2) is provided with a first information processing device 10 (2) (hereinafter also referred to as a subMaster). Each of the generators 5 (3) is provided with a first information processing apparatus 10 (3) (hereinafter also referred to as slave). A second information processing device 20 (hereinafter also referred to as a general master) is attached to the generator 5 (4).

  As shown in the figure, the general master “G0” is communicably connected to each of the masters “G1” and “G2” by a wired or wireless communication method.

  The master “G1” is communicably connected to each of the submasters “G1-1” and “G1-2” by a wired or wireless communication method. Hereinafter, a network composed of “G1”, “G1-1”, and “G1-2” is referred to as “Group1”.

  “G2” that is a master is connected to “G2-1” that is a submaster so as to be communicable by a wired or wireless communication method. Hereinafter, a network composed of “G2” and “G2-1” is referred to as “Group2”.

  The sub master “G1-1” is communicably connected to each of the slaves “G1-1a” and “G1-1b” by a wired or wireless communication method. Hereinafter, a network composed of “G1-1”, “G1-1a”, and “G1-1b” is referred to as “Group 1-1”.

  The sub master “G1-2” is connected to each of the slaves “G1-2a” and “G1-2b” so that they can communicate with each other by a wired or wireless communication method.

  “G2-1” that is a subMaster is connected to “G2-1a” that is a slave so as to be able to communicate with each other by a wired or wireless communication method. Hereinafter, a network composed of “G2-1” and “G2-1a” is referred to as “Group2-1”.

  The General Master controls the output of the generator 5 to which the Master is attached through the Master by predictive control described later. In addition, the Master controls the output of the generator 5 to which the subMaster is attached through the subMaster belonging to the same Group as itself by predictive control described later. Moreover, subMaster controls the output of the generator 5 to which the said slave is attached by the predictive control mentioned later via the slave which belongs to the same Group as self.

  Further, each of the general master, master, submaster, and slave controls the output of the generator 5 to which the master master is attached by regional requirement amount control described later.

  As described above, in the power system 1, each information processing device (the first information processing device 10 and the second information processing device 20) is connected to the generator 5 to which the information processing device in the network group to which the information processing device belongs is attached. Then, output control (predictive control or local demand control) is performed.

  FIG. 2 shows the hardware configuration of the General Master. As shown in the figure, the general master includes a CPU 111, a memory 112 such as a RAM / ROM, a storage device 113 such as a hard disk or an SSD, an input device 114 such as a touch panel or a mouse, a display device 115 such as a liquid crystal display, and a communication circuit 116. A clock circuit 117 configured to use RTC (Real Time Clock) or the like to generate date and time information (time stamp) such as the current date and time, an output measuring circuit 118 to measure the current output of the generator to which it is attached, A frequency measuring circuit 119 for measuring the system frequency of the power system 1 connected to the transmission / distribution line of the power system 1 connected to the generator 5 to which the power generator 5 is attached, and the output of the power generator to which the power generator 1 is attached Is provided with a control circuit 120 for controlling.

  The hardware configuration of Master, subMaster, and slave is the same as that of General Master.

  FIG. 3 shows the main functions of the General Master. As shown in the figure, the General Master includes an output fuel cost characteristic storage unit 131, a generator current output reception unit 132, a prediction output calculation unit 133, a prediction output distribution unit 134, a prediction control notification unit 135, and a generator current output acquisition. Unit 137, power generation capacity storage unit 138, regional requirement amount control execution unit 139, and prediction control execution unit 141. These functions are realized by the hardware of the general master, or by the CPU 111 of the general master reading and executing a program stored in the memory 112 or the storage device 113.

  Among the functions shown in FIG. 3, the output fuel cost characteristic storage unit 131 has a relationship between each output and fuel cost (hereinafter, output fuel cost characteristic (M)) for each of the generators 5 attached to the master. Is stored).

  The generator current output receiving unit 132 receives the current output of the generator 5 to which the Master is attached, transmitted from the Master.

  The predicted output calculation unit 133 generates a generator corresponding to the power demand after a predetermined time in the power system 1 based on the stored output fuel cost characteristic (M) and the output received by the generator current output reception unit 132. 5 (hereinafter referred to as a predicted output) is calculated.

  The predicted output distribution unit 134 distributes the predicted output calculated by the predicted output calculation unit 133 to at least one of the generators 5 to which the Master is attached. The predicted output distribution unit 134 distributes the predicted output calculated by the predicted output calculation unit 133 to the generator 5 to which the predicted output distribution unit 134 is attached.

  The prediction control notification unit 135 causes the master attached to the generator 5 that has distributed the predicted output to perform the output control (hereinafter referred to as prediction control) of the predicted output distributed by the predicted output distribution unit 134. Information (hereinafter referred to as a predictive control command value or EDC command value) for notifying this is transmitted to the master. Note that the predictive control is, for example, economic load predictive control (EDC).

  The generator current output acquisition unit 137 acquires the current output of the generator 5 to which it is attached.

  The power generation capacity storage unit 138 stores the power generation capacity (for example, maximum output or rated output) of the generator 5 to which the power generation capacity storage unit 138 is attached.

The regional requirement amount control execution unit 139 executes supply and demand control (hereinafter referred to as regional requirement amount control) based on the regional requirement amount in the power system 1 for the generator 5 to which the local requirement amount is attached. The regional requirement amount control is, for example, load frequency control (LFC) or automatic frequency control (AFC).
It is.

  The predictive control execution unit 141 executes predictive control on the generator 5 to which the predictive control execution unit 141 is attached.

  As shown in FIG. 3, the general master manages its own station information (GM) 160 and an output fuel cost characteristic table (GM) 170. Hereinafter, information managed by the output fuel cost characteristic table (GM) 170 is referred to as “output fuel cost characteristic (GM)”.

  FIG. 4 shows an example of the local station information (GM) 160. As shown in the figure, the local station information (GM) 160 includes an identifier 161, a hierarchy 162, and a power generation capacity 163.

  Among these, the identifier 161 stores an identifier assigned to each General Master. The hierarchy 162 stores information indicating that it is a general master. The power generation capacity 163 stores the power generation capacity (for example, maximum output or rated output) of the generator 5 to which the power generation capacity 163 is attached.

  FIG. 5 shows an example of the output fuel cost characteristic table (GM) 170. As shown in the figure, the output fuel cost characteristic table (GM) 170 is composed of at least one record including items of an output value 171, a fuel cost 172, and a unit output fuel cost 173.

  The output value 171 stores the output value of the generator 5 to which the General Master is attached. The fuel cost 172 stores the fuel cost of the generator 5 at the output indicated by the output value 171. In the unit output fuel cost 173, the fuel cost per unit output obtained from the output indicated by the output value 171 and the fuel cost indicated by the fuel cost 172 is stored.

  FIG. 6 shows the main functions of the Master. As shown in the figure, the Master includes an output fuel cost characteristic storage unit 231, a generator current output reception unit 232, a prediction output distribution unit 234, a prediction control notification unit 235, a generator current output acquisition unit 237, and a power generation capacity storage unit. 238, an area requirement amount control execution unit 239, an area requirement amount control determination unit 240, and a prediction control execution unit 241. These functions are realized by the master hardware or by the master CPU 111 reading and executing a program stored in the memory 112 or the storage device 113.

  Among the functions shown in FIG. 6, the output fuel cost characteristic storage unit 231 stores the relationship between the output and the fuel cost for each of the generators 5 attached to the subMaster.

  The generator current output reception unit 232 receives the current output of the generator 5 to which the subMaster is attached, which is transmitted from the subMaster.

  The predicted output distribution unit 234 distributes the predicted output calculated by the predicted output calculation unit 233 to at least one of the generators 5 to which the subMaster is attached. The predicted output distribution unit 234 distributes the predicted output calculated by the predicted output calculation unit 233 to the generator 5 to which the predicted output distribution unit 234 is attached.

  The prediction control notification unit 235 notifies the submaster attached to the generator 5 that has distributed the predicted output that the output control (prediction control) of the predicted output distributed by the predicted output distribution unit 234 is performed. (Predictive control command value (EDC command value)) is transmitted to the subMaster.

  The generator current output acquisition unit 237 acquires the current output of the generator 5 to which it is attached.

  The power generation capacity storage unit 238 acquires the power generation capacity (for example, the maximum output or the rated output) of the generator 5 to which the power generation capacity storage unit 238 is attached.

  The regional requirement amount control execution unit 239 performs regional requirement amount control on the generator 5 to which the region requirement amount control unit 239 is attached.

  When the regional requirement amount control determination unit 240 receives the prediction control command value transmitted from the general master, the regional requirement amount control determination unit 240 determines the regional requirement amount based on the difference between the received prediction control command value and the power generation capacity stored by itself. It is determined whether or not it is possible to perform control, and when it is determined that control is possible, the regional requirement amount control is performed. In the present embodiment, whether or not it is possible to perform the regional requirement amount control is determined by a value obtained by subtracting the received predictive control command value from the power generation capability of the generator 5 stored therein. Judgment is made based on whether or not the threshold value A is larger.

  Further, the regional requirement amount control determination unit 240 uses the information indicating whether or not the regional requirement amount control can be performed as a result of the determination as to whether or not the regional requirement amount control can be performed. It is stored as a certain area request amount controllable information. In the present embodiment, the area request amount controllable information is set to “1” when the area request amount control can be performed by itself, and the area request amount control cannot be performed by itself. In this case, “0” is set.

  In addition, when the regional requirement amount control determination unit 240 determines that the regional requirement amount control can be performed on the generator 5 to which the local requirement amount control is attached, the regional requirement amount control determination unit 240 obtains the regional requirement amount controllable information as the other first information processing. Send to device 10 (Master, subMaster, or slave). In addition, when the area request amount control determination unit 240 receives the area request amount controllable information from the other first information processing apparatus 10, the area request amount control determination unit 240 decreases the area request amount stored by itself and decreases the area request amount. Based on this, the required amount of area is controlled.

  The predictive control execution unit 241 executes predictive control on the generator 5 to which the predictive control execution unit 241 is attached.

  As shown in FIG. 6, the Master manages its own station information (M) 260, output fuel cost characteristic table (M) 270, and group output fuel cost characteristic table (M) 280. Hereinafter, the information managed by the output fuel cost characteristic table (M) 270 is referred to as “output fuel cost characteristic (M)”. Information managed by the group output fuel cost characteristic table (M) 280 is referred to as “output fuel cost characteristic (MG)”.

  FIG. 7 shows an example of own station information (M) 260. As shown in the figure, the local station information (M) 260 includes an identifier 261, a hierarchy 262, and a power generation capacity 263.

  Among these, the identifier 261 stores an identifier assigned to each Master. The hierarchy 262 stores information indicating that it is a Master. The power generation capacity 263 stores the power generation capacity (for example, maximum output or rated output) of the generator 5 to which the power generation capacity 263 is attached.

  FIG. 8 shows an example of the output fuel cost characteristic table (M) 270. As shown in the figure, the output fuel cost characteristic table (M) 270 includes at least one record including items of an output value 271, a fuel cost 272, and a unit output fuel cost 273.

  The output value 271 stores the output value of the generator 5 to which the Master is attached. The fuel cost 272 stores the fuel cost of the generator 5 at the output indicated by the output value 271. In the unit output fuel cost 273, the fuel cost per unit output obtained from the output indicated by the output value 271 and the fuel cost indicated by the fuel cost 272 is stored.

  FIG. 9 shows an example of the group output fuel cost characteristic table (M) 280. As shown in the figure, the group output fuel cost characteristic table (M) 280 is composed of at least one record including items of output value 281, fuel cost 282, and unit output fuel cost 283. .

  The output value 281 stores the output value of the generator 5 to which it is attached or the generator 5 to which the subMaster is attached. The fuel cost 282 stores the fuel cost of the generator 5 at the output indicated by the output value 281. In the unit output fuel cost 283, the fuel cost per unit output, which is obtained from the output indicated by the output value 281 and the fuel cost indicated by the fuel cost 282, is stored.

  FIG. 10 shows the main functions provided in the subMaster. As shown in the figure, the subMaster includes an output fuel cost characteristic storage unit 331, a generator current output reception unit 332, a prediction output distribution unit 334, a prediction control notification unit 335, a generator current output acquisition unit 337, and a power generation capacity storage unit. 338, the regional requirement amount control execution unit 339, the regional requirement amount control determination unit 340, and the prediction control execution unit 341 are provided. These functions are realized by the subMaster hardware, or by the subMaster CPU 111 reading and executing a program stored in the memory 112 or the storage device 113.

  Of the functions shown in FIG. 10, the output fuel cost characteristic storage unit 331 stores the relationship between the output and the fuel cost for each of the generators 5 attached to the slave.

  The current output receiving unit 332 receives the current output of the generator 5 to which the slave is attached, which is transmitted from the slave.

  The predicted output distribution unit 334 distributes the predicted output calculated by the predicted output calculation unit 333 to at least one of the generators 5 to which the slave is attached.

  The prediction control notification unit 335 notifies that the output attached to the generator 5 that has allocated the predicted output is subjected to the output control (prediction control) of the predicted output distributed by the predicted output distribution unit 334. (Predictive control command value (EDC command value)) is transmitted to the slave.

  The generator current output acquisition unit 337 acquires the current output of the generator 5 to which it is attached.

  The power generation capacity storage unit 338 acquires the power generation capacity (for example, maximum output, rated output, etc.) of the generator 5 to which the power generation capacity storage unit 338 is attached.

  The local requirement amount control execution unit 339 executes the regional requirement amount control for the generator 5 to which the local requirement amount control unit 339 is attached.

  When receiving the predicted control command value transmitted from the Master, the regional required amount control determination unit 340 controls the regional required amount control based on the difference between the received predicted control command value and the power generation capacity stored in itself. It is determined whether or not it is possible to perform, and if it is determined that it is possible, the regional requirement amount control is performed. In addition, in this embodiment, whether or not it is possible to perform the local requirement amount control is a value obtained by subtracting the received predictive control command value from the power generation capability of the generator 5 stored therein. Judgment is made based on whether or not the predetermined threshold value A is greater.

  Further, the regional requirement amount control determination unit 340 stores the determination result as to whether or not the regional requirement amount control can be performed as regional requirement amount controllable information.

  In addition, when it is determined that the local requirement amount control determination unit 340 can perform the regional requirement amount control on the generator 5 to which the local requirement amount control is attached, the regional requirement amount control determination information is transmitted to the other first information processing. Send to device 10 (Master, subMaster, or slave). In addition, when the area request amount control determination unit 340 receives the area request amount controllable information from the other first information processing apparatus 10, the area request amount control determination unit 340 decreases the area request amount stored by itself and decreases the area request amount. Based on this, the required amount of area is controlled.

  The prediction control execution unit 341 executes prediction control for the generator 5 to which the prediction control execution unit 341 is attached.

  As shown in FIG. 10, the subMaster manages its own station information (SM) 360, output fuel cost characteristic table (SM) 370, and group output fuel cost characteristic table (SM) 380. Hereinafter, information managed by the group output fuel cost characteristic table (SM) 370 is referred to as “output fuel cost characteristic (SM)”. Information managed by the group output fuel cost characteristic table (SM) 380 is referred to as “output fuel cost characteristic (SMG)”.

  FIG. 11 shows an example of the local station information (SM) 360. As shown in the figure, the local station information (SM) 360 includes an identifier 361, a hierarchy 362, and a power generation capacity 363.

  Among these, the identifier 361 stores an identifier assigned to each subMaster. The hierarchy 362 stores information indicating that it is a subMaster. The power generation capacity 363 stores the power generation capacity (for example, maximum output or rated output) of the generator 5 to which the power generation capacity 363 is attached.

  FIG. 12 shows an example of the output fuel cost characteristic table (SM) 370. As shown in the figure, the output fuel cost characteristic table (M) 370 includes at least one record including items of an output value 371, a fuel cost 372, and a unit output fuel cost 373.

  The output value 371 stores the output value of the generator 5 to which the subMaster is attached. The fuel cost 372 stores the fuel cost of the generator 5 at the output indicated by the output value 371. The unit output fuel cost 373 stores the fuel cost per unit output, which is obtained from the output indicated by the output value 371 and the fuel cost indicated by the fuel cost 372.

  FIG. 13 shows an example of the group output fuel cost characteristic table (SM) 380. As shown in the figure, the group output fuel cost characteristic table (SM) 380 includes at least one record including items of output value 381, fuel cost 382, and unit output fuel cost 383. .

  The output value 381 stores the output value of the generator 5 to which the generator 5 is attached or the generator 5 to which the slave is attached. The fuel cost 382 stores the fuel cost of the generator 5 at the output indicated by the output value 381. In the unit output fuel cost 383, the fuel cost per unit output obtained from the output indicated by the output value 381 and the fuel cost indicated by the fuel cost 382 is stored.

  FIG. 14 shows the main functions of the slave. As shown in the figure, the slave has the functions of the generator current output acquisition unit 437, the power generation capacity storage unit 438, the regional requirement amount control execution unit 439, the regional requirement amount control determination unit 440, and the prediction control execution unit 441. Prepare. These functions are realized by the slave hardware or by the slave CPU 111 reading and executing a program stored in the memory 112 or the storage device 113.

  The generator current output acquisition unit 437 acquires the current output of the generator 5 to which it is attached.

  The power generation capacity storage unit 438 acquires the power generation capacity (for example, maximum output or rated output) of the generator 5 to which the power generation capacity storage unit 438 is attached.

  The regional requirement amount control execution unit 439 executes regional requirement amount control on the generator 5 to which the region requirement amount control unit 439 is attached.

  When receiving the predicted control command value transmitted from the subMaster, the regional required amount control determination unit 440 controls the regional required amount control based on the difference between the received predicted control command value and the power generation capacity stored in itself. It is determined whether or not it is possible to perform, and if it is determined that it is possible, the regional requirement amount control is performed. In the present embodiment, the determination as to whether or not it is possible to perform the regional requirement amount control is based on the value obtained by subtracting the received predicted control command value from the power generation capability of the generator 5 stored therein. Judgment is made based on whether or not the predetermined threshold value A is greater.

  Further, the regional requirement amount control determination unit 440 stores the result of the determination as to whether or not the regional requirement amount control is possible as regional requirement amount controllable information.

  In addition, when it is determined that the local requirement amount control determination unit 440 can perform the regional requirement amount control on the generator 5 to which the local requirement amount control is attached, the regional requirement amount control determination information is transmitted to the other first information processing. Send to device 10 (Master, subMaster, or slave). In addition, when the area request amount control determination unit 440 receives the area request amount controllable information from the other first information processing apparatus 10, the area request amount control determination unit 440 decreases the area request amount stored by itself and decreases the area request amount. Based on this, the required amount of area is controlled.

  The prediction control execution unit 441 executes prediction control on the generator 5 to which the prediction control execution unit 441 is attached.

  As shown in FIG. 14, slave manages its own station information (SL) 460 and output fuel cost characteristic table (SL) 470. Hereinafter, information managed by the output fuel cost characteristic table (SL) 470 is referred to as “output fuel cost characteristic (SL)”.

  FIG. 15 shows an example of the local station information (SL) 460. As shown in the figure, the local station information (SL) 460 includes an identifier 461, a hierarchy 462, and a power generation capacity 463.

  Among these, the identifier 461 stores an identifier assigned to each slave. The hierarchy 462 stores information indicating that it is a slave. The power generation capacity 463 stores the power generation capacity (for example, maximum output or rated output) of the generator 5 to which the power generation capacity 463 is attached.

  FIG. 16 shows an example of the output fuel cost characteristic table (SL) 470. As shown in the figure, the output fuel cost characteristic table (SL) 470 is composed of at least one record including items of an output value 471, a fuel cost 472, and a unit output fuel cost 473.

  The output value 471 stores the output value of the generator 5 to which the slave is attached. The fuel cost 472 stores the fuel cost of the generator 5 at the output indicated by the output value 471. In the unit output fuel cost 473, the fuel cost per unit output obtained from the output indicated by the output value 471 and the fuel cost indicated by the fuel cost 472 is stored.

  Next, processing performed in the power system 1 will be described.

<General Master processing>
The General Master acquires the output and fuel cost of the generator 5 to which the Master is attached, and acquires the output and fuel cost of the generator 5 to which the Master is attached.

  FIG. 17 illustrates a process of receiving and storing the output fuel cost characteristic (M) transmitted from the master (hereinafter referred to as an output fuel cost characteristic (M) storage process S1700) among the processes performed by the general master. It is a flowchart to do.

  As shown in the figure, the General Master receives and stores the output fuel cost characteristic (M) transmitted from the Master at any time (S1711).

  FIG. 18 is a flowchart illustrating a process in which the general master acquires the current output of the generator 5 to which the general master is attached (hereinafter referred to as a generator current output acquisition process S1800).

  As shown in the figure, the General Master acquires the current output of the generator 5 to which the General Master is attached (hereinafter referred to as the “generator current output (P)”), and acquires the acquired current generator output. (P) is stored (S1811). Moreover, General Master acquires the present system frequency (f) of the electric power grid | system 1, and memorize | stores the acquired system frequency (f) at any time (S1812).

  The General Master acquires the local request amount controllable information (Flg) stored in itself (S1813) as needed, and the acquired regional request amount controllable information (Flg) indicates that the local request amount control is possible. In the case where it is shown, the value of the current generator output (P) acquired above is set in the current AFC device output (Pa), which is information indicating the current output of the power generator 5 to which it is attached.

  FIG. 19 is a flowchart for explaining a process in which the General Master receives the current output of the generator 5 from the Master at any time (hereinafter referred to as a generator current output reception process S1900).

  As shown in the figure, the General Master receives a Master group generator current output (ΣP, MG), which will be described later, transmitted from the Master (S1911).

  Further, the General Master receives the number of master group regional requirement amount control devices (ΣFlg, MG), which will be described later, transmitted from the Master (S1912).

  Further, the general master receives a master group AFC device current output (ΣPa, MG), which will be described later, transmitted from the master (S1913).

  Further, the General Master receives a Master group AFC device EDC command value (ΣPe, MG), which will be described later, transmitted from the Master (S1914).

  The General Master transmits information necessary for the Master to perform regional request amount control as needed.

  FIG. 20 is a flowchart illustrating a process in which the general master transmits the total value of the current output of the master group generator (ΣP, MG) (hereinafter referred to as “generator current output transmission process S2000”).

  As shown in the figure, the General Master indicates the total value of the current output of the master group generator (ΣP, MG) received in the current generator output output process S1900 and the current generator output (P) stored by itself. (Hereinafter, referred to as all generator current output (ΣP)) is calculated and stored in association with the current time, and the stored all generator current output (ΣP) is transmitted to the master (S2011). .

  In addition, the General Master is the sum of the total number of master group regional requirement amount control devices (ΣFlg, MG) received and the regional requirement amount controllable information (Flg) stored by itself (hereinafter, all regions). The request quantity control device number (ΣFlg) is calculated), and the calculated total area request quantity control device number (ΣFlg) is transmitted to the master (S2012).

  The General Master is a total value of the received master group AFC device current output (ΣPa, MG) and an AFC device current output (Pa) (described later) stored in itself (hereinafter, all AFC devices). The current output (referred to as ΣPa) is calculated, and the calculated current output of all AFC devices (ΣPa) is transmitted to the master (S2013).

  The General Master is a total value of the AFC device EDC command value (Pe, A) stored therein and the total of the received Master group AFC device EDC command value (ΣPe, MG). The command value (ΣPe) is calculated, and the calculated all AFC device EDC command values (ΣPe) are transmitted to the master (S2014).

  Further, the General Master generates an EDC command value and transmits the generated EDC command value to the Master, thereby causing the Master to perform prediction control.

  FIG. 21 is a flowchart for explaining processing (hereinafter referred to as prediction control notification processing S2100) in which the General Master transmits an EDC command value (Pe). The prediction control notification process S2100 is performed, for example, at any time or at a predetermined time interval (for example, every 10 minutes).

  As shown in the figure, the General Master includes the output fuel cost characteristic (M) stored in the generator current output reception process S1900, and the total generator current output (ΣP) stored in the all generator current output calculation process S2000. Based on the above, a process of predicting a fluctuation in power demand in a predetermined time zone in the power system 1 (hereinafter referred to as demand power fluctuation prediction process S2111) is performed. Details of the demand power fluctuation prediction process S2111 will be described later.

  The General Master is based on the fluctuation of power demand predicted in the demand power fluctuation prediction process S2111 (hereinafter also referred to as Pr (t)), and the time after the predetermined time T0 minutes from the present in the power system 1 (hereinafter referred to as the prediction control time). The output of the power generator 5 (hereinafter referred to as a predicted output (P0)) corresponding to the power demand of (referred to as “predicted output (P0)”) is calculated (S2112). Specifically, the value of Pr (t) after a predetermined time T0 is assumed as the predicted output (P0). Note that the prediction control is performed at the prediction control time, as will be described later.

  The general master distributes the calculated predicted output (P0) to at least one of the generators 5 to which the master is attached so that the fuel cost of the generator 5 in the power system 1 is the lowest ( Hereinafter, the minimum fuel cost distribution process S2113 is performed) (S2113). Details of the minimum fuel cost distribution process S2113 will be described later.

  The General Master selects one of the generator 5 to which the General Master is attached and the generator 5 to which the Master to which the predicted output (P0) is allocated is attached (S2114).

  The General Master generates and stores the EDC command value (Pe) for the generator 5 selected in S2114 (S2115). Specifically, out of the output Pi (D) (i = 1, 2,...) Of each generator 5 calculated in the minimum fuel cost distribution process S2113 described later, the output of the generator 5 selected in S2114 The predicted control time is stored as an EDC command value (Pe).

  FIG. 22 shows an example of information stored in the general master. As shown in the figure, the General Master sets the EDC command value (Pe) of the generator 5 to which the General Master is attached to “100 kW”, and the predicted control time 10 minutes after the current time “10:10”. It is stored in association with “10:20”.

  Returning to FIG. 21, the general master includes the EDC command value (Pe) out of the generator 5 to which the master is attached and the generator 5 to which the master that has transmitted the generator current output (P) is attached. ) Is determined whether there is a generator 5 that has not generated (S2116). If there is a generator 5 that has not generated an EDC command value (Pe) (S2116: YES), the process returns to S2114, and if there is no generator 5 that has not generated an EDC command value (Pe) (S2116: NO) The process proceeds to S2117.

  In S2117, the General Master, among the EDC command values (Pe) of each generator 5 generated in S2115, is the EDC command of the generator 5 to which the Master that has transmitted the generator current output (P) is attached. The value (Pe) is transmitted to the Master that has transmitted the generator current output (P) to itself.

  The General Master acquires the EDC command value (Pe) of the generator 5 to which the General Master is attached from the EDC command value (Pe) of each generator 5 generated in S2115 (S2118).

  The General Master is based on the difference between the power generation capacity of the generator 5 to which it is attached (hereinafter referred to as Pcap) and the predicted output (P0) allocated to the generator 5 to which it is attached. It is determined whether or not it is possible to perform local requirement amount control on the generator 5 to which it is attached (S2119). Specifically, is the value (Pcap-Pe) obtained by subtracting the EDC command value (Pe) acquired in S2118 from the power generation capacity (Pcap) of the generator 5 attached to itself larger than a predetermined threshold A? Judge by no.

  If the area request amount control can be performed (S2119: YES), the process proceeds to S2120. If the area request amount control cannot be performed (S2119: NO), the prediction control notification process S2100 ends.

  In S2120, the General Master sets information indicating that the regional requirement amount control is possible in the regional requirement amount controllable information (Flg), and also indicates that the AFC device itself is capable of performing the regional requirement amount control. The current EDC command value (Pe) of the generator 5 to which it is attached is set in the EDC command value (Pe, A), and the prediction control notification process S2100 ends.

  FIG. 23 is a flowchart illustrating the details of the demand power fluctuation prediction process S2111. As shown in the figure, the General Master is the current generator output output (ΣP) accumulated in the generator current output transmission process S2000 from the current time t1 (for example, 24 hours before) to the current time. Is obtained, and a function of time fluctuation (hereinafter referred to as Y (t)) is generated (S2311).

The General Master generates a function (hereinafter referred to as y (t)) obtained by smoothing the generated time variation function Y (t) (S2312). Specifically, y (t) is
y (t) = (1−α) · y (t−T) + α · Y (t)
Asking. Here, α is a constant representing the strength of smoothing (smoothing constant) (0 <α <1), and T is a constant representing the unit of time for performing smoothing (sampling time).

  Next, the General Master displays the power demand on the past day Di (i = 1, 2,...) (For example, each day from the present to the past three months, or each day of the month before and after the previous year). Among them, the power demand on the same day and the day of the week), the power demand in the same time zone as the time zone of Y (t) is acquired, and the time change of the acquired power demand (hereinafter, Yr, i (t) Is generated (S2313). Note that the power demand in the past Di (i = 1, 2,...) May be the total generator current output (ΣP) stored in the General Master, or the power previously input to the General Master. It may be demand information.

The General Master is a function (hereinafter referred to as yr, i (t)) obtained by smoothing each Yr (t) generated in S2313 (Yr, i (t) (i = 1, 2,...)). (Referred to as i = 1, 2,...)) (S2314) Specifically, y (t) is
yr, i (t) = (1−α) · yr, i (t−T) + α · Yr, i (t)
Asking. Here, α is a constant representing the strength of smoothing (smoothing constant) (0 <α <1), and T is a constant representing the unit of time for performing smoothing (sampling time).

The General Master is a Euclidean distance (hereinafter referred to as “Ei ^ 2”) between y (t) calculated in S2312, and each of yr, i (t) (i = 1, 2,...) Calculated in S2314. "). Specifically, “Ei ^ 2”
_{Ei ^ 2 = x 1 ^ 2} + x 2 ^ 2 + ··· + x n-1 ^ 2 + x n ^ 2
Asking. Here, x _i = y (t) −yi (t). Incidentally, FIG. 24 shows an example of the relationship between y (t), yi (t ), and _{x i.}

  The general master determines whether or not “Ei ^ 2” has been calculated for all the days of the above-mentioned past days Di (i = 1, 2,...) (S2316), and “Ei ^ 2” is determined. If all days have been calculated (S2316: YES), the process proceeds to S2317. If there is a day for which “Ei ^ 2” has not been calculated (S2316: NO), the process returns to S2313.

  In S <b> 2317, the general master stores the function yr, i (t) on the day Di where “Ei ^ 2” is the minimum value as the predicted demand power fluctuation (Pr (t)).

  FIG. 25 is a flowchart for explaining the details of the minimum fuel cost distribution process S2113. As shown in the figure, the General Master shows its output fuel cost characteristic (GM) and each output fuel cost characteristic (M) of the Master that has transmitted the generator current output (P) to itself. It acquires sequentially as cost characteristic Fi (Pi) (i = 1, 2, ...) (S2511).

  The general master stores the value of the prediction output (P0) calculated in the prediction control notification process S2100 as “distribution target output (Pr)” (S2512).

  The General Master uses the generator 5 to which the self is attached based on the output fuel cost characteristic Fi (Pi) (i = 1, 2,...) Acquired in S2511 based on the stored distribution target output (Pr). And it distributes to each of the generator 5 with which the Master which has transmitted the generator present output (P) to itself is attached (S2513).

  The General Master generates a combination of the generator 5 to which the distribution target output (Pr) is allocated and the output allocated to the generator 5 for each of the generators 5 and sets the generated combination as distribution (D). Store (S2514).

  The general master calculates the fuel cost (Fi (D) (i) of each generator 5 from the distribution (D) stored in S2514 based on the output fuel cost characteristic Fi (Pi) (i = 1, 2,...). = 1, 2,...)) And the total value of the acquired fuel costs (hereinafter referred to as Fall (D)) is calculated (S2515).

  The General Master determines whether there is a distribution different from the distribution (D) generated in S2413 (S2516). If there is a different distribution (S2516: YES), the process returns to S2513. (S2517: NO) The process proceeds to S2517.

  In S2517, the General Master, among all the distributions (D) calculated in S2513, determines the distribution (D) at which the total value (Fall (D)) of the fuel cost is the minimum value as the minimum fuel cost distribution (Fr (Pr )). Moreover, General Master memorize | stores the output of each generator 5 allocated by minimum fuel cost allocation (Fr (Pr)) as Pi (D) (i = 1, 2, ...) (S2518).

  FIG. 26 shows an example of the relationship between the fuel cost of each of the “generator 1”, “generator 2”,... Yes. FIG. 27 shows an example of the minimum fuel cost distribution (Fr (Pr)) for “generator 1”, “generator 2”,... “Generator n”.

  The General Master performs predictive control on the generator 5 to which the General Master is attached at the predictive control time. Moreover, General Master performs local requirement amount control with respect to the generator 5 with which it is attached at any time.

  FIG. 28 is a flowchart for explaining a process (hereinafter referred to as a supply and demand control process S2800) in which the General Master performs the predictive control and the regional demand amount control for the generator 5 to which the General Master is attached. The supply and demand control process S2800 is performed at any time or at the predicted control time.

  As shown in the figure, the General Master determines whether or not it is possible to perform the regional requirement amount control on the generator 5 to which the General Master is currently attached (S2811).

  When it is possible to perform the regional requirement amount control (S2811: YES), the AFC device EDC command value (Pe, A) is generated in the predictive control notification process S2100, and the generator 5 to which it is attached is attached. When the EDC command value is set and the process proceeds to S2812, the area request amount control cannot be performed (S2811: NO), the process proceeds to S2821.

In S2812, the General Master calculates a regional requirement amount (AR). Specifically, the regional demand (AR) is
AR = K · (f−f0) · (ΣP) + (ΣPe) − (ΣPa)
Calculate as Here, K is a system frequency characteristic constant, and f0 is a reference frequency (for example, 50 Hz or 60 Hz).

The General Master is a command value for performing predictive control and regional demand amount control based on the calculated regional demand amount (AR) and the EDC command value (Pe) distributed to the generator 5 to which it is attached. A certain output command value (Pc) is generated (S2813). Specifically, the output command value (Pc) is
Pc = Pe + (AR / (ΣFlg))
Generate as

  FIG. 29 is a diagram illustrating an example of a method for calculating the output command value (Pc). As shown in the figure, the General Master performs a filtering process on the calculated regional requirement (AR), that is, a smoothing process that removes an extremely short period component included in the regional requirement (AR), and a fine movement component. A dead zone process is performed (S2911).

  Returning to FIG. 28, the General Master performs output control on the generator 5 to which the General Master is attached based on the output command value (Pc) generated in S2813 (S2814).

In S2821, the General Master generates an output command value (Pc) based on the EDC command value (Pe) generated in the prediction control notification process S2100. Specifically, the output command value (Pc) is
Pc = Pe
Generate as Thereafter, the process proceeds to S2814.

  FIG. 30 is a diagram for explaining an example of output control (supply / demand control) performed by the general master. As shown in the figure, the General Master generates an EDC command value (Pe) having a prediction control time t2 which is a time T0 minutes after the time t1, and performs prediction control at the prediction control time. In addition, the general master is the “target output Pt that is the power demand at time t3 based on the all AFC device EDC command value (ΣPe), the current output of all AFC devices (ΣPa), and the local requirement (AR) at time t3. ”(Corresponding to the predicted output P0) is performed to adjust the output (regional requirement control).

<Master processing>
Next, processing performed by the Master will be described.
The Master acquires information on the output and fuel cost of the generator 5 to which the subMaster is attached, and acquires information on the output and fuel cost of the generator 5 to which the Master is attached.

  FIG. 31 is a flowchart for explaining a process of storing the output fuel cost characteristic (SM) transmitted from the subMaster (hereinafter referred to as an output fuel cost characteristic (SM) storage process S3100) among the processes performed by the Master. is there.

  As shown in the figure, the Master receives and stores the output fuel cost characteristic (SM) transmitted from the subMaster as needed (S3111).

  Further, the Master performs a predictive control command value transmission process, which is a process of transmitting an EDC command value to the subMaster, as needed (S3112). Details of the predictive control command value transmission process S3112 will be described later.

  FIG. 32 is a flowchart illustrating a process in which the Master acquires the current output of the generator 5 to which the Master is attached (hereinafter referred to as a current output acquisition process S3200).

  As shown in the figure, the Master acquires the current output (generator current output (P)) of the generator 5 to which the Master is attached as needed, and stores the acquired generator current output (P). (S3211). Further, the Master acquires the current system frequency (f) of the power system 1 as needed, and stores the acquired system frequency (f) (S3212).

  Further, the Master acquires the regional request amount controllable information (Flg) stored in itself (S3213) as needed, and the acquired regional request amount controllable information (Flg) is capable of controlling the regional request amount. , The generator current output (P) is set to the AFC device current output (Pa).

  FIG. 33 is a flowchart for explaining processing in which the Master receives the current output of the generator 5 from the subMaster as needed (hereinafter referred to as “generator current output reception processing S3300”).

  As shown in the figure, the Master receives a subMaster group generator current output (ΣP, SMG), which will be described later, transmitted from the subMaster (S3311).

  In addition, the Master receives the number of subMaster group regional request amount control devices (ΣFlg, SMG), which will be described later, transmitted from the subMaster (S3312).

  In addition, the Master receives a submaster group AFC device current output (ΣPa, SMG), which will be described later, transmitted from the subMaster (S3313).

  Further, the Master receives a subMaster group AFC device EDC command value (ΣPe, SMG), which will be described later, transmitted from the subMaster (S3314).

  The Master transmits the information received in the generator current output reception process S3300 to the General Master.

  FIG. 34 is a flowchart for explaining a process in which the master transmits the total value of the submaster group generator current output (ΣP, SMG) to the general master (hereinafter referred to as a generator current output transmission process S3400).

  As shown in the figure, the Master is a master group that is the sum of the received subMaster group generator current output (ΣP, SMG) and the generator current output (P) stored by itself. The generator current output (ΣP, MG) is calculated, and the calculated master group generator current output (ΣP, MG) is transmitted to the general master (S3411).

  In addition, the Master is a master group area request amount control which is a sum of the received number of subMaster group area request amount control devices (ΣFlg, SMG) and the area request amount controllable information (Flg) stored in itself. The number of devices (ΣFlg, MG) is calculated, and the calculated number of master group regional requirement amount control devices (ΣFlg, MG) is transmitted to the General Master (S3412).

  Also, the Master is a master group AFC device current output (ΣPa, which is the sum of the total value of the received subMaster group AFC device current output (ΣPa, SMG) and the AFC device current output (Pa) stored in itself. MG) is calculated, and the calculated master group AFC device current output (ΣPa, MG) is transmitted to the general master (S3413).

  The Master is a master group AFC device that is the sum of the total value of the received subMaster group AFC device EDC command values (ΣPe, SMG) and the AFC device EDC command value (Pe, A) stored by itself. The EDC command value (ΣPe, MG) is calculated, and the calculated Master group AFC device EDC command value (ΣPe, MG) is transmitted to the General Master (S3414).

  FIG. 35 is a flowchart for explaining a process in which the Master receives the total generator current output (ΣP) from the General Master as needed (hereinafter referred to as the all generator current output reception process S3500).

  As shown in the figure, the Master receives all generator current outputs (ΣP) transmitted from the General Master (S3511).

  In addition, the Master receives the total number of regional requirement amount control devices (ΣFlg) transmitted from the General Master (S3512).

  Further, the Master receives the current output (ΣPa) of all AFC devices transmitted from the General Master (S3513).

  Further, the Master receives all AFC device EDC command values (ΣPe) transmitted from the General Master (S3514).

  FIG. 36 is a flowchart for explaining the details of the prediction control command value transmission process S3112.

  As shown in the figure, the Master is the output fuel cost characteristic of the generator 5 to which the Master is attached, and the output of the generator 5 to which the subMaster that has transmitted the generator current output (P) is attached. Each of the fuel cost characteristics (SM) is sequentially acquired as Fi (Pi) (i = 1, 2,...) (S3611).

  The Master refers to the acquired Fi (Pi) (i = 1, 2,...) And calculates a value (Pmin) obtained by summing the minimum values of the outputs of the generators 5. Further, the Master refers to the acquired Fi (Pi) (i = 1, 2,...), And calculates a value (Pmax) obtained by summing the maximum values of the outputs of the generators 5 (S3612).

  The Master selects one of the values between Pmin and Pmax, and sets the selected value as the distribution target output (Pr) (S3612).

  The Master distributes the set distribution target output (Pr) to the generator 5 to which the master is attached and to each generator 5 to which the subMaster that has transmitted the generator current output (P) is attached. Processing (hereinafter referred to as minimum fuel cost distribution processing S3614) is performed. Details of the minimum fuel cost distribution process S3614 will be described later.

  The Master determines whether there is another distribution target output (Pr) different from the distribution target output (Pr) set in S3612 (S3615), and when there is another distribution target output (Pr) (S3615). : YES) Returning to S3613, if there is no other distribution target output (Pr) (S3615: NO), the output fuel cost characteristic (MG) generation process S3600 ends.

  FIG. 37 is a flowchart for explaining the details of the minimum fuel cost distribution process S3614. As shown in the figure, the Master displays its output fuel cost characteristic (M) and each output fuel cost characteristic (SM) of the subMaster that has transmitted the generator current output (P) to itself. The characteristics Fi (Pi) (i = 1, 2,...) Are sequentially acquired (S3711).

  The master sets the distribution target output (Pr) set in S3612 based on the output fuel cost characteristic Fi (Pi) (i = 1, 2,...) Acquired in S3711 and the generator 5 to which the Master is attached. And the generator 5 attached with the subMaster that has transmitted the generator current output (P) to itself (S3713).

  The Master generates a combination of the generator 5 to which the distribution target output (Pr) is allocated and the output allocated to the generator 5 for each of the generators 5, and stores the generated combination as distribution (D). (S3714).

  Based on the output fuel cost characteristic Fi (Pi) (i = 1, 2,...), The master calculates the fuel cost (Fi (D) (i = 1, 2,...)) And the total value (Fall (D)) of the acquired fuel costs is calculated (S3715).

  The Master determines whether there is a distribution different from the distribution (D) calculated in S3713 (S3716). If there is a different distribution (S3716: YES), the master returns to S3713, and if there is no different distribution (S3716: S3717: NO) The process proceeds to S3717.

  In S3717, the master sets, as the minimum fuel cost distribution (Fr (Pr)), the distribution (D) in which the total value (Fall (D)) of the fuel cost becomes the minimum value among the distribution (D) calculated in S3713. Remember.

  The Master transmits the EDC command value Pe to the subMaster that has transmitted the generator current output (P) to itself (S3718). Specifically, the output (Pi (D) (i = 1, 2,...)) Distributed by the minimum fuel cost distribution (Fr (Pr)) and the predicted control time are transmitted as an EDC command value. The Master stores the output (Pi (D)) of the generator 5 to which the Master is attached as an EDC command value for the generator 5 to which the Master is attached.

  The Master performs predictive control on the generator 5 to which the Master is attached at the predicted control time. In addition, the Master performs regional request amount control on the generator 5 to which the Master is attached at any time.

  FIG. 38 is a flowchart for explaining a process (hereinafter referred to as supply / demand control process S3800) in which the master performs prediction control and regional requirement amount control for the generator 5 to which the master is attached. The supply and demand control process S3800 is performed at any time or at the predicted control time.

  As shown in the figure, the Master is based on the difference between the output (EDC command value) distributed to the generator 5 to which the Master is attached and the power generation capacity (Pcap) of the generator 5 to which the Master is attached. Then, it is determined whether or not it is possible to perform local requirement amount control on the generator 5 to which it is attached (S3811).

  If it is possible to perform the regional demand control (S3811: YES), the generator 5 to which the AFC device EDC command value (Pe, A) is generated in the minimum fuel cost allocation process S3614 and attached to itself is generated. Is set to the EDC command value for step S3812, and the process proceeds to step S3812. If the regional request amount control cannot be performed (S3819: NO), the process proceeds to step S3821.

In S3812, the Master calculates the regional requirement amount (AR). Specifically, the regional demand (AR) is
AR = K · (f−f0) · (ΣP) + (ΣPe) − (ΣPa)
Calculate as Here, K is a system frequency characteristic constant, and f0 is a reference frequency (for example, 50 Hz or 60 Hz). Note that the master performs a filtering process, that is, a smoothing process for removing an extremely short period component included in the area request quantity (AR) and a dead band process for removing a fine movement component, for the obtained area request quantity (AR). .

The Master generates an output command value (Pc) based on the calculated regional requirement amount (AR) and the EDC command value (Pe) (S3813). Specifically, the output command value (Pc) is
Pc = Pe + (AR / (ΣFlg))
Generate as

  The Master performs output control on the generator 5 to which the Master is attached based on the output command value (Pc) generated in S3813 (S3814).

In S3821, the Master generates an output command value (Pc) based on the EDC command value (Pe). Specifically, the output command value (Pc) is
Pc = Pe
Generate as Thereafter, the process proceeds to S3814.

  FIG. 39 shows an example of an EDC command value (Pe) generated by the Master. As shown in the figure, the Master sets the EDC command value (Pe) to “70 kW” and associates it with the predicted control time “10:20” which is a time 10 minutes after the current time “10:10”. I remember.

<Processing of subMaster>
Next, processing performed by the subMaster will be described.
The subMaster acquires information on the output and fuel cost of the generator 5 to which the slave is attached, and acquires information on the output and fuel cost of the generator 5 to which the subMaster is attached.

  FIG. 40 illustrates a process of receiving and storing the output fuel cost characteristic (SL) transmitted from the slave (hereinafter referred to as an output fuel cost characteristic (SL) storage process S4000) among the processes performed by the subMaster. It is a flowchart.

  As shown in the figure, the subMaster receives and stores the output fuel cost characteristic (SL) transmitted from the slave at any time (S4011). Also, the subMaster performs a predictive control command value transmission process that is a process of transmitting an EDC command value to the slave (S4012). Details of the prediction control command value transmission processing S4012 will be described later.

  FIG. 41 is a flowchart illustrating a process in which the subMaster acquires the current output of the generator 5 to which the subMaster is attached (hereinafter referred to as a generator current output acquisition process S4100).

  As shown in the figure, the subMaster acquires the current output (generator current output (P)) of the generator 5 to which the subMaster is attached, and stores the acquired generator current output (P) as needed. (S4111). Moreover, subMaster acquires the present system frequency (f) of the electric power grid | system 1 at any time, and memorize | stores the acquired system frequency (f) (S4112).

  Moreover, subMaster acquires the area request | requirement amount controllable information (Flg) which self has memorize | stored at any time (S4113). If the acquired regional request quantity controllable information (Flg) indicates that the local master can control the local request quantity, the subMaster displays the current generator status acquired above in the AFC device current output (Pa). Set the output (P).

  FIG. 42 is a flowchart illustrating a process in which the subMaster receives the current output of the generator 5 from the slave at any time (hereinafter referred to as a generator current output reception process S4200).

  As shown in the figure, the subMaster receives the current generator output (P) transmitted from the slave (S4211).

  Further, the subMaster receives the regional request amount controllable information (Flg) transmitted from the slave (S4212).

  Also, the subMaster receives the AFC device current output (Pa) transmitted from the slave (S4213).

  Further, the subMaster receives the AFC device EDC command value (Pe, A) transmitted from the slave (S4214).

  The subMaster transmits the information received in the generator current output reception process S4200 to the Master.

  FIG. 43 is a process in which the subMaster transmits the total value of the subMaster group generator current output (ΣP, SMG) received in the generator current output reception process S4200 to the Master (hereinafter referred to as a generator current output transmission process S4300). Is a flow chart for explaining.

  As shown in the figure, the subMaster is a submaster group generator current output which is a sum of the received generator current output (P) and the generator current output (P) stored in itself. (ΣP, SMG) is calculated, and the calculated subMaster group generator current output (ΣP, SMG) is transmitted to the Master (S4311).

  Also, the subMaster is the number of submaster group regional request quantity control devices, which is the sum of the local request quantity controllable information (Flg) received from slave and the local request quantity controllable information (Flg) stored by itself. (ΣFlg, SMG) is calculated, and the calculated number of subMaster group regional request quantity controllers (ΣFlg, SMG) is transmitted to the Master (S4312).

  The subMaster is a submaster group AFC device current output (ΣPa, SMG) that is the sum of the total value of the AFC device current output (Pa) received from slave and the AFC device current output (Pa) stored in itself. And the calculated subMaster group AFC device current output (ΣPa, SMG) is transmitted to the Master (S 4313).

  The subMaster is a submaster group AFC device EDC that is the sum of the total value of the AFC device EDC command values (Pe, A) received from the slave and the AFC device EDC command value (Pe, A) stored in itself. The command value (ΣPe, SMG) is calculated, and the calculated subMaster group AFC device EDC command value (ΣPe, SMG) is transmitted to the Master (S4314).

  The subMaster receives information for performing local request amount control from the General Master.

  FIG. 44 is a flowchart illustrating a process in which the subMaster receives all generator current output (ΣP) from the General Master as needed (hereinafter referred to as all generator current output reception process S4400).

  As shown in the figure, the subMaster receives all generator current outputs (ΣP) transmitted from the General Master (S4411).

  Also, the subMaster receives the number of all regional requirement amount control devices (ΣFlg) transmitted from the General Master (S4412).

  Also, the subMaster receives the current output (ΣPa) of all AFC devices transmitted from the General Master (S4413).

  Further, the subMaster receives all AFC device EDC command values (ΣPe) transmitted from the General Master (S4414).

  FIG. 45 is a flowchart illustrating the details of the prediction control command value transmission process S4012.

  As shown in the figure, the subMaster is the output fuel cost characteristic of the generator 5 to which the subMaster is attached, and the output of the generator 5 to which the slave that has transmitted the generator current output (P) is attached. Each of the fuel cost characteristics (SL) is sequentially acquired as Fi (Pi) (i = 1, 2,...) (S4511).

  The subMaster refers to the acquired Fi (Pi) (i = 1, 2,...) and calculates a value (Pmin) obtained by summing the minimum values of the outputs of the generators 5. Further, the Master refers to the acquired Fi (Pi) (i = 1, 2,...), And calculates a value (Pmax) obtained by summing the maximum values of the outputs of the generators 5 (S4512).

  The subMaster selects one of the values not less than Pmin and not more than Pmax, and sets the selected value as the distribution target output (Pr) (S4513).

  The subMaster distributes the set distribution target output (Pr) to the generator 5 to which the subMaster is attached and each generator 5 to which the slave that has transmitted the generator current output (P) is attached ( Hereinafter, the minimum fuel cost distribution process S4514 is performed. Details of the minimum fuel cost distribution process S4514 will be described later.

  The subMaster determines whether there is another distribution target output (Pr) different from the distribution target output (Pr) set in S4512 (S4515), and when there is another distribution target output (Pr) (S4515). : YES) Returning to S4513, if there is no other distribution target output (Pr) (S4515: NO), the output fuel cost characteristic (SMG) generation process S4500 ends.

  FIG. 46 is a flowchart for explaining the details of the minimum fuel cost distribution process S4514. As shown in the figure, the subMaster displays its output fuel cost characteristic (SM) and each output fuel cost characteristic (SL) of the slave that has transmitted the generator current output (P) to itself. The characteristics Fi (Pi) (i = 1, 2,...) Are sequentially acquired (S4611).

  The subMaster outputs the distribution target output (Pr) set in S4513 to the generator 5 to which it is attached based on the output fuel cost characteristic Fi (Pi) (i = 1, 2,...) and to itself. The generator current output (P) is distributed to each generator 5 to which the slave that has transmitted it is allocated (S4613).

  The subMaster generates a combination of the generator 5 to which the distribution target output (Pr) is allocated and the output allocated to the generator 5 for each of the generators 5 and stores the generated combination as distribution (D). (S4614).

  The subMaster is based on the output fuel cost characteristic Fi (Pi) (i = 1, 2,...), and from the distribution (D) stored in S4614, the fuel cost (Fi (D) (i = 1, 2,...)) And the total value (Fall (D)) of the acquired fuel costs is calculated (S4615).

  The subMaster determines whether there is a distribution different from the distribution (D) generated in S4613 (S4616). If there is a different distribution (S4616: YES), the process returns to S4613. S4617: NO) The process proceeds to S4617.

  In S4617, the subMaster determines the distribution (D) in which the total value (Fall (D)) of the fuel cost becomes the minimum value among all the distributions (D) generated in S4613 (Fr (Pr)). Remember as.

  The subMaster transmits the EDC command value Pe to the slave that has transmitted the generator current output (P) to itself (S4618). Specifically, the output (Pi (D) (i = 1, 2,...)) Distributed by the minimum fuel cost distribution (Fr (Pr)) and the predicted control time are transmitted as an EDC command value. In addition, subMaster memorize | stores the output (Pi (D)) of the generator 5 with which it is attached as an EDC command value with respect to the generator 5 with which it is attached.

  FIG. 47 is a flowchart for explaining processing (hereinafter referred to as supply and demand control processing S4700) in which the subMaster performs predictive control and regional requirement amount control on the generator 5 to which the subMaster is attached. The supply and demand control process S4700 is performed at any time or at the predicted control time.

  As shown in the figure, the subMaster is based on the difference between the output (EDC command value) distributed to the generator 5 to which it is attached and the power generation capacity (Pcap) of the generator 5 to which it is attached. Then, it is determined whether or not it is possible to perform local requirement amount control on the generator 5 to which it is attached (S4711).

  If it is possible to perform the regional demand control (S4711: YES), the generator 5 to which the AFC device EDC command value (Pe, A) is generated in the minimum fuel cost distribution process S4514 and attached to itself is generated. Is set to the EDC command value for step S4712, and the process proceeds to step S4712.

In S4712, the subMaster calculates a regional requirement amount (AR). Specifically, the regional demand (AR) is
AR = K · (f−f0) · (ΣP) + (ΣPe) − (ΣPa)
Calculate as Here, K is a system frequency characteristic constant, and f0 is a reference frequency (for example, 50 Hz or 60 Hz). The subMaster performs a filtering process on the obtained regional requirement quantity (AR), that is, a smoothing process that removes an extremely short period component included in the regional requirement quantity (AR) and a dead zone process that removes a fine movement component.

The subMaster generates an output command value (Pc) based on the calculated regional requirement amount (AR) and the EDC command value (Pe) (S4713). Specifically, the output command value (Pc) is
Pc = Pe + (AR / (ΣFlg))
Generate as

  FIG. 48 shows an example of the EDC command value (Pe) generated by the subMaster. As shown in the figure, the subMaster sets the EDC command value (Pe) of the generator 5 to which it is attached to “70 kW”, and the predicted control time “10:10” after the current time “10:10”. 10:20 "and stored.

  Returning to FIG. 47, the subMaster performs output control on the generator 5 to which the subMaster is attached based on the output command value (Pc) generated in S4713 (S4714).

In S4721, the subMaster generates an output command value (Pc) based on the EDC command value (Pe). Specifically, the output command value (Pc) is
Pc = Pe
Generate as Thereafter, the process proceeds to S4714.

<Slave processing>
Next, processing performed by slave will be described.
The slave acquires information on the output and fuel cost of the generator 5 to which the slave is attached.

  FIG. 49 is a flowchart for explaining processing (hereinafter referred to as current output acquisition processing S4900) of acquiring the current output of the generator 5 to which the slave 5 is attached among the processing performed by the slave.

  As shown in the figure, the slave acquires the current output (generator current output (P)) of the generator 5 to which it is attached, and stores the acquired generator current output (P) as needed. (S4911). Further, the slave acquires the current system frequency (f) of the power system 1 as needed, and stores the acquired system frequency (f) (S4912).

  Further, the slave acquires the local request amount controllable information (Flg) stored in itself (S4913) as needed, and the acquired local request amount controllable information (Flg) can be controlled by the local request amount. If it indicates that there is, the generator current output (P) is set to the AFC device current output (Pa).

  When the slave acquires the current output of the generator 5 to which the slave is attached, the slave transmits the acquired information to the subMaster.

  FIG. 50 is a flowchart for explaining processing in which slave transmits the acquired generator current output (P) as needed (hereinafter referred to as generator current output transmission processing S5000). As shown in the figure, slave transmits the acquired generator current output (P) to the subMaster (S5011).

  Further, the slave transmits the local request amount controllable information (Flg) stored in itself to the subMaster (S5012).

  Further, the slave transmits the current output (Pa) of the AFC device stored in itself to the subMaster (S5013).

  Further, slave transmits the AFC device EDC command value (Pe, A) stored in itself to the subMaster (S5014).

  The slave receives information for performing regional request amount control from the General Master.

  FIG. 51 is a flowchart for explaining a process in which slave receives the all-generator current output (ΣP) as needed from the general master (hereinafter referred to as all-generator current output reception process S5100).

  As shown in the figure, the slave receives and stores all generator current outputs (ΣP) transmitted from the General Master (S5111).

  Further, the slave receives and stores the number of all regional requirement amount control devices (ΣFlg) transmitted from the general master (S5112).

  Further, the slave receives and stores the current output (ΣPa) of all AFC devices transmitted from the general master (S5113).

  Further, the slave receives and stores all AFC device EDC command values (ΣPe) transmitted from the general master (S5114).

  The slave performs predictive control on the generator 5 to which it is attached based on the received EDC command value at the predicted control time. Moreover, slave performs area request | requirement amount control with respect to the generator 5 with which it is attached at any time.

  FIG. 52 is a flowchart for explaining processing in which slave performs prediction control and regional requirement amount control (hereinafter referred to as supply and demand control processing S5200). The supply and demand control process S5200 is performed at any time or at the predicted control time.

  As shown in the figure, the slave is the generator 5 to which the slave is attached based on the difference between the received EDC command value (Pe) and the power generation capability (Pcap) of the generator 5 to which the slave is attached. It is then determined whether or not it is possible to perform the regional request amount control (S5211). Specifically, it is determined whether or not a value obtained by subtracting the power generation capability (Pcap) of the generator 5 to which the EDC command value (Pe) is attached is larger than a predetermined threshold A.

  If it is possible to perform the regional requirement amount control (S5211: YES), the AFC device EDC command value (Pe, A) is set to the received EDC command value, and the process proceeds to S5212, where the regional requirement amount control is performed. If it is not possible (S5219: NO), the process proceeds to S5221.

In S5212, slave calculates an area request amount (AR). Specifically, the regional demand (AR) is
AR = K · (f−f0) · (ΣP) + (ΣPe) − (ΣPa)
Calculate as Here, K is a system frequency characteristic constant, and f0 is a reference frequency (for example, 50 Hz or 60 Hz). The slave performs a filtering process on the obtained regional requirement amount (AR), that is, a smoothing process that removes an extremely short period component included in the regional requirement amount (AR) and a dead zone process that removes a fine movement component.

The slave generates an output command value (Pc) based on the calculated regional request amount (AR) and the received EDC command value (Pe) (S5213). Specifically, the output command value (Pc) is
Pc = Pe + (AR / (ΣFlg))
Generate as

  FIG. 53 shows an example of an EDC command value (Pe) generated by slave. As shown in the figure, the slave sets the EDC command value (Pe) of the generator 5 to which the slave is attached to “60 kW”, and the predicted control time “10:10” after the current time “10:10”. 10:20 "and stored.

  Returning to FIG. 52, the slave performs output control on the generator 5 to which it is attached based on the output command value (Pc) generated in S5213 (S5214).

In S5221, slave generates an output command value (Pc) based on the EDC command value (Pe). Specifically, the output command value (Pc) is
Pc = Pe
Generate as Thereafter, the process proceeds to S5214.

  As described above, according to the power system 1 of the present embodiment, the second information processing apparatus 20 has the lowest fuel cost of the generator 5 in the power system 1 and the power demand after a predetermined time in the power system 1. Is a prediction output that is an output control of the allocated predicted output, and calculates the predicted output that is the output of the generator 5 corresponding to, and distributes the calculated predicted output to the generator 5 attached to the first information processing apparatus 10. A predictive control command value, which is information for causing the first information processing apparatus 10 attached to the generator 5 that has performed the control to perform control, is transmitted to the first information processing apparatus 10, while the first When the information processing apparatus 10 receives the predicted control command value, the information processing apparatus 10 determines whether or not it is possible to perform regional request amount control based on the difference between the received predicted control command value and its own power generation capacity. If it is determined that it is possible, Since the control, first information processing apparatus 10, in accordance with the predictive control command value and its power generation capacity, it is possible to suitably perform regional demand control. Thereby, supply and demand control in one electric power system can be performed appropriately and at low cost.

  In addition, when the first information processing apparatus 10 determines that it is possible to perform the area request amount control on the generator 5 to which the first information processing apparatus 10 is attached, When the area request amount controllable information, which is information indicating that the amount control can be performed, is transmitted and the area request amount controllable information is received from another first information processing apparatus 10, the stored area Since the request amount is decreased and the regional request amount control is performed based on the reduced regional request amount, when the plurality of first information processing devices 10 can perform the regional request amount control, the plurality of first information processing devices. Each of the 10 can cooperate and appropriately perform regional requirement amount control. Thereby, the supply-and-demand control in an electric power system can be performed more appropriately.

  Further, each of the first information processing devices 10 indicates the number of local requirement amount control devices (ΣFlg) that indicates the number of generators 5 that can currently control the regional requirement amount in the power system 1. Since the area request amount control is performed based on the value divided by the above, when the plurality of first information processing apparatuses 10 can perform the area request amount control, each of the plurality of first information processing apparatuses 10 cooperates, Appropriate regional demand control can be performed appropriately. Thereby, the supply-and-demand balance in the electric power grid | system 1 can be maintained more appropriately.

  Embodiment described above is for making an understanding of this invention easy, and does not limit this invention. The present invention can be changed and improved without departing from the gist thereof, and the present invention includes the equivalents thereof.

  In the present embodiment, supply and demand control in the case where there are four layers of information processing apparatuses has been described. However, the present invention provides information processing apparatuses of n layers (n = 5, 6,...) By a similar method. Can be extended if you want.

DESCRIPTION OF SYMBOLS 1 Electric power system 5 Generator 10 Information processing apparatus S1700 Output fuel cost characteristic (M) storage process S1900 Generator present output reception process S2100 Prediction control notification process S2111 Demand power fluctuation prediction process S2113 Minimum fuel cost distribution process S3800 Supply and demand control process

Claims (5)

A power supply and demand control method for a power system configured to include a plurality of generators,
A first information processing apparatus is attached to at least two of the plurality of generators;
Providing a second information processing device capable of communicating with each of the first information processing devices, controlling the output of the generator to which the first information processing device is attached via the first information processing device;
Each of the first information processing apparatuses is
Obtaining the current output of the generator to which it is attached, sending the obtained output to the second information processing apparatus,
The second information processing apparatus
For each of the generators attached to the first information processing device, store the relationship between each output and fuel cost,
Receiving the current output transmitted from the first information processing apparatus;
Based on the stored relationship and the received current output, calculate a predicted output that is an output of the generator corresponding to power demand after a predetermined time in the power system,
Distributing the calculated predicted output to at least one of the generators attached to the first information processing device so that the fuel cost of the generator in the power system is the lowest, A prediction control command value, which is information for notifying the first information processing apparatus attached to the generator that has performed the distribution of the prediction output to perform the prediction control that is the output control of the predicted output. , To the first information processing device,
The first information processing apparatus
For the generator to which it is attached, perform regional demand control that is supply and demand control based on local demand in the power system,
Memorize the power generation capacity of the generator attached to itself,
When the predicted control command value transmitted from the second information processing apparatus is received, the regional requirement amount control is performed based on the difference between the received predicted control command value and the stored power generation capacity. it is determined whether it is possible to perform, have rows the regional demand control when it is determined that it is possible,
Memorizing the regional demand,
If it is determined that the local requirement amount control can be performed on the generator attached to itself, the regional requirement amount is information indicating that the regional requirement amount control can be performed. Transmitting controllable information to the other first information processing apparatus,
When the regional requirement amount controllable information is received from another first information processing apparatus, the stored regional requirement amount is decreased, and the regional requirement amount control is performed based on the reduced regional requirement amount. supply and demand control method for a power system and performing. An information processing apparatus used in the power supply and demand control method according to claim 1 ,
Each of the information processing devices
Obtaining the current output of the generator to which it is attached, sending the obtained output to the second information processing apparatus,
For the generator to which it is attached, perform regional demand control that is supply and demand control based on local demand in the power system,
Memorize the power generation capacity of the generator attached to itself,
When the predicted control command value transmitted from the second information processing apparatus is received, the regional requirement amount control is performed based on the difference between the received predicted control command value and the stored power generation capacity. An information processing apparatus that determines whether or not it is possible to perform, and performs the regional requirement amount control when it is determined that it is possible. An information processing apparatus according to claim 2 ,
Each of the information processing devices
Memorizing the regional demand,
If it is determined that the local requirement amount control can be performed on the generator attached to itself, the regional requirement amount is information indicating that the regional requirement amount control can be performed. Transmitting controllable information to the other first information processing apparatus,
When the regional requirement amount controllable information is received from another first information processing apparatus, the stored regional requirement amount is decreased, and the regional requirement amount control is performed based on the reduced regional requirement amount. An information processing apparatus characterized by performing An information processing apparatus used in the power supply and demand control method according to claim 1 ,
The information processing apparatus includes:
For each of the generators attached to the first information processing device, store the relationship between each output and fuel cost,
Receiving the current output transmitted from the first information processing apparatus;
Distributing the calculated predicted output to at least one of the generators attached to the first information processing device so that the fuel cost of the generator in the power system is the lowest, A prediction control command value, which is information for notifying the first information processing apparatus attached to the generator that has performed the distribution of the prediction output to perform the prediction control that is the output control of the predicted output. An information processing apparatus that transmits to the first information processing apparatus. The information processing apparatus according to claim 4 ,
The information processing apparatus includes:
Memorizing the regional demand,
If it is determined that the local requirement amount control can be performed on the generator attached to itself, the regional requirement amount is information indicating that the regional requirement amount control can be performed. Transmitting controllable information to the other first information processing apparatus,
When the regional requirement amount controllable information is received from another first information processing apparatus, the stored regional requirement amount is decreased, and the regional requirement amount control is performed based on the reduced regional requirement amount. An information processing apparatus characterized by performing

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