JP2007166746A - Distributed power system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a distributed power system which can efficiently generate electricity by suppressing excess and deficiency in power generation and power demands, without computing the instructed value of the power generation of a generator, based on prediction results that are predicted beforehand. <P>SOLUTION: An operation controller for a distributed power system is equipped with a total power consumption measuring means which measures total power consumption consumed in each load device, a power generation output measuring means which measures a power generation output outputted severally from each generator, a power generation instructed value deriving means which derives a power generation instructed value of each generator by solving an evaluation function which is prescribed based on each power generation output and total power consumption measured severally by each measuring means, by an optimization method under constraint conditions which are prescribed based on the maximum and minimum power generation of each generator, and a generation control means which controls the power generation of each generator according to the power generation instructed value derived by the power generation instructed value deriving means. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a distributed power supply system.

  As a distributed power supply system, a “network system of a cogeneration apparatus” disclosed in Patent Document 1 is known. In this network system, the management device 16 detects the generated power generated by the generator, the power load used, and the like to create a generated power pattern, and transmits the generated generated power pattern to the monitoring device 30 via the Internet 23. To do. The monitoring device 30 creates a combination index for each of the cogeneration devices 6A, 6B, 6C, 6D... Based on the input generated power pattern and the average power unit price, fuel unit price, facility cost, etc. stored in the individual information DB 34A. To do. And the monitoring apparatus 30 is based on the separate information memorize | stored in separate information DB34A, and the thing which operates cogeneration apparatus 6A, 6B, 6C, 6D ... intermittently, and the thing operated continuously. Classify. Then, the time period when the generated power of the cogeneration apparatuses 6A, 6C... Operated intermittently is short and the time period when the cogeneration apparatuses 6B, 6D. The cogeneration devices 6A, 6B, 6C, 6D,... Are combined based on the combination index of the respective cogeneration devices 6A, 6B, 6C, 6D,. And cogeneration apparatus 6A, 6B, 6C, 6D ... combined in this way mutually shares generated electric power via the power transmission line 7. FIG.

As another format, a “power supply operation management system” disclosed in Patent Document 2 is known. In this power supply device operation management system, the system controller (operation control means) 12 switches between a state in which the power generator is operated at the rated output and a state in which the operation is stopped in response to the demand prediction of the power load. A type that is configured to control the operation of a power supply is known.
JP 2003-52127 A JP 2003-153440 A

  By the way, in any of the above-described distributed power systems, the power consumption (power demand) is predicted in advance, and the power generation amount instruction value of the power generation device is calculated (determined) based on the prediction result, and the power generation amount instruction The power generation device is configured to generate a value. In this case, if the power consumption predicted earlier matches the required power amount (power demand amount) when generating power, the power generation amount and the power demand amount are not excessive and insufficient, so the power generation should be carried out efficiently. Can do. On the other hand, if the power consumption predicted earlier due to unexpected use of power does not match the required power (power demand) for power generation, the power generation and power demand are excessive or insufficient. Therefore, there is a problem that power generation cannot be performed efficiently.

  The present invention has been made to solve the above-described problems, and suppresses the excess and deficiency of the power generation amount and the power demand amount as much as possible without calculating the power generation amount instruction value of the power generation device based on the prediction result predicted in advance. An object of the present invention is to provide a distributed power supply system that can efficiently generate power.

  In order to solve the above-mentioned problem, the structural feature of the invention according to claim 1 is that a plurality of load devices in which a plurality of power generators and a plurality of load devices that operate with electric power supplied from each power generator are installed. Installation location, total power consumption measuring means for measuring the total power consumption consumed in each load device, power generation output amount measuring means for measuring the power generation output amount output from each power generation device, The evaluation function defined based on each power generation output and total power consumption measured by the measurement means is optimized by the optimization method under the constraints defined based on the maximum and minimum power generation of each power generator. By solving, the power generation amount instruction value deriving means for deriving the power generation amount instruction value of each power generation device and the power generation amount for controlling the power generation amount of each power generation device according to the power generation amount instruction value derived by the power generation amount instruction value deriving means. And control means, is that with a.

  Further, the structural feature of the invention according to claim 2 is that, in claim 1, the evaluation function suppresses the fluctuation amount of the power generation output amount of each power generation device to the minimum, and the total power consumption amount and the total power generation output amount. Is set to match.

  Further, the structural feature of the invention according to claim 3 is that, in claim 2, the evaluation function is the square value of the difference between the power generation amount instruction value for each power generation device and the power generation output amount detected by the power generation output amount detection means. The sum of all the power generation devices, and the term of the square value of the difference between the sum of the power generation instruction values and the total power consumption detected by the total power consumption detection means are included.

  According to a fourth aspect of the present invention, there is provided a structural feature according to any one of the first to third aspects, wherein the total power consumption measuring means, the power generation output amount measuring means, the power generation amount instruction value deriving means, and the power generation The repetition processing of the control means is executed at a predetermined time with a high probability that the current total power consumption and the total power consumption are the same.

  In the control device of the invention according to claim 1 configured as described above, the total power consumption measuring means measures the total power consumption consumed by each load device, and the generated power output amount measuring means The power generation output amount respectively output from the power generation device is measured, and the power generation amount instruction value deriving means has an evaluation function defined based on each power generation output amount and total power consumption respectively measured by each measurement means, The power generation instruction value of each power generator is derived by solving with an optimization method under the constraint conditions defined based on the maximum and minimum power generation of each power generator, and the power generation control means derives the power generation instruction value. The power generation amount of each power generation device is controlled according to the power generation amount instruction value derived by the means. Thereby, the power generation amount instruction value is based on each power generation output amount and total power consumption respectively measured by each measuring means without calculating the power generation amount instruction value of the power generation device based on the prediction result predicted in advance. It can be calculated as an optimum value. Therefore, it is possible to efficiently generate power while suppressing the excess and deficiency of the power generation output amount and the power demand amount as much as possible.

  In the control device of the invention according to claim 2 configured as described above, in the invention according to claim 1, the evaluation function suppresses the fluctuation amount of the power generation output amount of each power generation device to the minimum, and the total power Since the power generation amount is generated based on the derived power generation amount instruction value, the fluctuation amount of the power generation output amount of the power generation device is suppressed to the minimum because the consumption amount and the total power generation output amount are set to coincide with each other. The total power consumption matches the total power output. Therefore, durability of the power generation device can be improved, fuel consumption can be improved, and power can be generated efficiently.

  In the control device of the invention according to claim 3 configured as described above, in the invention according to claim 2, the evaluation function includes a power generation amount indication value for each power generation device and a power generation output detected by the power generation output amount detection means. It includes the sum of the squares of the difference in power for all the power generators, and the sum of each power generation command value and the square of the difference between the total power consumption detected by the total power consumption detection means. It is possible to easily and accurately calculate the optimum power generation amount instruction value using a simple function.

  In the control device of the invention according to claim 4 configured as described above, in the invention according to any one of claims 1 to 3, the total power consumption measuring means, the power generation output amount measuring means, the power generation amount The repeated processing of the instruction value deriving means and the power generation control means is executed at a predetermined time when there is a high probability that the current total power consumption and the total power consumption are the same. Electricity can be generated efficiently while suppressing the shortage.

  Hereinafter, an embodiment of a distributed power supply system according to the present invention will be described. FIG. 1 is a schematic diagram showing an overview of this distributed power supply system. This distributed power supply system uses a plurality of power generation devices 10 that supply power to the load device 21 and a power use that is a plurality of load device installation locations where the load devices 21 that operate with the power supplied from each power generation device are set. A place 20 and an operation control device 30 electrically connected to each power generation device 10 and a power meter 22 at each power use place 20 are provided.

  The power generation apparatus 10 is a fuel cell power generation apparatus, and includes a generator 11 that generates DC power, a converter (for example, an inverter) 12 that converts DC power supplied from the generator 11 into AC power, and outputs power. A control device 17 for controlling the device 11 and a wattmeter 18 are provided. In addition to the fuel cell power generation device, the power generation device 10 may be configured by a prime mover such as a diesel engine, a gas engine, a gas turbine, or a micro gas turbine, and a generator driven by the prime mover.

  The generator 11 includes a reformer, a carbon monoxide reduction device (hereinafter referred to as a CO reduction device), and a fuel cell. In the reformer, the fuel supplied from the fuel supply device 13 is steam-reformed with water supplied from the water supply device 14 to generate a hydrogen-rich reformed gas, which is led to the CO reduction device. The CO reduction device reduces carbon monoxide contained in the reformed gas and leads the reformed gas to the fuel cell. The fuel cell generates power using hydrogen in the reformed gas supplied to the fuel electrode and air that is an oxidant gas supplied to the air electrode.

  The converter 12 is connected to a plurality of load devices 21 installed at the power use place 20 via the power transmission line 15, and the AC power output from the converter 12 is supplied to each load device 21 as necessary. Has been supplied to.

  The control device 17 is connected to the operation control device 30 so as to communicate with each other. The control device 17 receives the power generation amount instruction value from the operation control device 30 and transmits the maximum and minimum power generation amounts of the power generation device to the operation control device 30. The control device 17 includes a microcomputer (not shown), and the microcomputer includes an input / output interface, a CPU, a RAM, and a ROM (all not shown) connected via a bus. The CPU receives the power generation amount instruction value from the operation control device 30 and controls the power generator 11 so that the power generation amount corresponds to the power generation amount instruction value. The RAM temporarily stores variables necessary for executing the program, and the ROM stores the program.

  The wattmeter 18 is a power generation output amount detection means for detecting the power generation output amount output from the power generation device 10, and transmits the detected power generation output amount to the operation control device 30.

  The load device 21 is an electric appliance such as an electric lamp, iron, television, washing machine, electric kotatsu, electric carpet, air conditioner, and refrigerator. In addition, the power source 15 of the electric power company is also connected to the power transmission line 15 connecting the converter 12 and the power use place 20 (system connection), and the total power consumption of the load device 21 is determined from the power generation amount of the power generation device 10 Is exceeded, the insufficient power is received from the system power supply 16 and compensated. The wattmeter 22 is power consumption detection means for detecting the power consumption consumed by the load device 21, detects the total power consumption of all the load devices 21 used in the power usage place 20, The data is transmitted to the operation control device 30.

In addition, the case where each power generator 10 is installed corresponding to each electric power use place 20 can be illustrated. For example, the power generators 1, 2,..., N are installed in homes that are power usage locations 1, 2,. Moreover, the case where each electric power generating apparatus 10 is installed corresponding to each some electric power usage place 20 can be illustrated. For example, one power generation device 1 is installed corresponding to a home that is two power usage locations 1 and 2, and one power generation device 2 is installed corresponding to a home that is two power usage locations 3 and 4. This is the case. Or each power generation apparatus 10 is gathered and installed in one place, and the case where each electric power usage place 20 is each household can be illustrated. For example, there is a case where a dedicated power generation area is installed in the apartment house. Here, the power use place is exemplified at home, but it may be an office, a store, or the like.
The heat generated in each power generation device 10 is used as hot water, and a so-called cogeneration operation is performed. Each power generator 10 is provided with a hot water storage tank (not shown) for storing hot water.

  The operation control device 30 has a microcomputer (not shown), and the microcomputer includes an input / output interface, a CPU, a RAM, and a ROM (all not shown) connected via a bus. The CPU executes a program corresponding to the flowchart of FIG. 2 to control the power generation amount of each power generation device 10. The RAM temporarily stores variables necessary for executing the program, and the ROM stores the program.

  Next, the operation of the above-described distributed power supply system will be described with reference to FIG. In the following description of operation, a power generator is installed for two households. That is, the power generation device 1 is installed in the home A home and the power generation device 2 is installed in the home B home. When an operation start switch (not shown) is pressed, the operation control device 30 starts the program and advances the program to step 102. In step 102, the operation control device 30 reads the maximum power generation amount and the minimum power generation amount of the power generation device 10 from each power generation device 10 and stores them in a storage unit (or a storage device not shown). The maximum power generation amount and the minimum power generation amount of the power generation apparatus 10 may be set to rated values (for example, the maximum power generation amount is 1000 W and the minimum power generation amount is 250 W), or are predetermined from the viewpoint of taking time-dependent changes into account. The maximum power generation amount and the minimum power generation amount may be derived from the actual power generation amount until that time and set to the derived values.

  And the operation control apparatus 30 controls the electric power generation of each electric power generating apparatus 10 by repeatedly performing the process of steps 104-118. The operation control device 30 measures (measures) the power consumption at each power usage place 20 using each wattmeter 22 (step 104), and adds all the measurement results to calculate the total power consumption. (Step 106). FIG. 3 is a graph showing the result of measuring the power consumption of the home A, FIG. 4 is a graph showing the result of measuring the power consumption of the home B, and FIG. It is a graph which shows electric power consumption. 3 to 5, each horizontal axis indicates the time (hour) of the day from 0:00 to 24:00, and each vertical axis indicates the power consumption [W]. Note that the graphs shown in FIGS. 3 to 5 are not stored and the power generation amount instruction value is not derived using the power consumption pattern.

  The operation control device 30 measures (measures) the power generation output amount output from each power generation device 10 using each wattmeter 18 (step 108). FIG. 6 is a graph showing the results of measuring the power generation output amount of the power generation devices 1 and 2. The power generation output amount of the power generation device 1 is indicated by a thick thick solid line, and the power generation output amount of the power generation device 2 is indicated by a thin thin solid line. In FIG. 6, the horizontal axis indicates the time (hour) of the day from 0:00 to 24:00, and the vertical axis indicates the power generation amount [W].

  Next, in step 110, the operation control device 30 sets a constraint condition based on the maximum power generation amount and the minimum power generation amount of the power generation devices 1 and 2. The constraint conditions are defined based on the maximum power generation amount and the minimum power generation amount of each power generation apparatus 10, and how to obtain them will be described in detail. Since the power generation devices 1 and 2 generate power within the range defined by the maximum power generation amount and the minimum power generation amount, the power generation amount instruction value also falls within the range. This is expressed by the inequality shown by the following equation (1).

Here, Eg ₁ and Eg ₂ represent power generation amount instruction values of the power generation apparatuses 1 and 2.

  If the direction of the inequality sign is unified in the above equation 1, the following equation 2 is obtained.

  When this equation 2 is combined into one equation using a matrix, the following equation 3 is obtained. This number 3 is an expression indicating a constraint condition.

  Here, the vector x on the left side is a variable to be optimized, and the vector x is represented by the following formula 4. A matrix relating to the vector x on the left side is a constant A. The product of the two matrices on the right side is the constant b. The constant b is composed of a coefficient matrix in the left half and a matrix represented by the maximum power generation amount and the minimum power generation amount of the power generators 1 and 2 in the right half. The constants A and b are expressed by the following equations 5 and 6, respectively.

  Therefore, in step 110, the operation control device 30 uses the maximum and minimum power generation amounts of the power generation devices 1 and 2 previously read and stored in step 102 to the matrix of the right half of the constant b described above from above. By sequentially substituting 1000, which is the maximum power generation amount of the power generation device 1, and 250, which is the minimum power generation amount, 1000, which is the maximum power generation amount of the power generation device 2, and 250, which is the minimum power generation amount, Can be set.

  Next, in step 112, the operation control device 30 sets an evaluation function based on the power generation output amounts and the total power consumption amounts of the power generation devices 1 and 2. The evaluation function is defined based on the power generation output amount and the total power consumption amount of each power generation apparatus 10, and a method for obtaining the evaluation function will be described in detail. It is desirable that the evaluation function is set so as to suppress the fluctuation amount of the power generation output amount of each power generation apparatus 10 to the minimum and to match the total power consumption amount and the total power generation output amount. The evaluation function is the sum of the square value of the difference between the power generation amount instruction value for each power generation device and the power generation output amount detected by the power generation output amount detection means for all the power generation devices, and the sum of each power generation amount instruction value and the total power. It is desirable to include a term of the square value of the difference in the total power consumption detected by the consumption detection means. Therefore, the evaluation function is as shown in the following formula 7.

ここで、Ｅg_{１_ｋ−１}は発電装置１の現時点の発電出力量であり、ステップ１０８で計測された値である。Ｅg_{２_ｋ−１}は発電装置２の現時点の発電出力量であり、ステップ１０８で計測された値である。Ｅoは、現時点の総電力消費量であり、ステップ１０６で計測された値である。ａは、重みを表しており、評価関数の右辺第３項が最も効率への寄与度が高いことから３以上に設定するのが好ましい。

Here, Eg _{1 — k−1} is the current power generation output amount of the power generator 1, and is the value measured in step 108. Eg _{2 — k−1} is the current power generation output amount of the power generator 2, and is the value measured in step 108. Eo is the current total power consumption, and is a value measured in step 106. a represents a weight, and is preferably set to 3 or more because the third term on the right side of the evaluation function has the highest contribution to efficiency.

  When the above formula 7 is modified, the following formula 8 is obtained. When this formula 8 is expressed using 2 norms, the following formula 9 is obtained.

  Here, the matrix relating to the vector x of the first term on the right side is the constant C, and the second term on the right side is the constant d. The constant d is a matrix represented by the current power generation output amount of the power generation apparatuses 1 and 2 and the current total power consumption. The constants A and b are expressed by the following equations 5 and 6, respectively. The constants C and d are expressed by the following equations 10 and 11, respectively.

Therefore, the operation control device 30 uses the current total power consumption calculated in step 106 in step 112 and the current power generation output amount of the power generation devices 1 and 2 previously measured in step 108 in step 112. weighting a top to the matrix of constants d power generation output amount Eg _{1_k-1} of the current generator 1 _{sequentially,} the power generation output amount Eg _{2_k-1} of the current power generation apparatus _2, and the total power consumption Eo at the present time By substituting these values, the evaluation function shown in the above equation 9 can be set.

  Then, in step 114, the operation control device 30 has previously calculated (measured) the total power consumption previously calculated based on the total power consumption measured (measured) in step 104, and previously in step 108. By solving the evaluation function defined based on each power generation output amount by the optimization method under the constraint conditions defined based on the maximum and minimum power generation amount of each power generation device, the power generation amount indication value of each power generation device Is derived (power generation amount instruction value deriving means). The optimization method used here is the least square method. That is, the operation claim 30 solves the problem (optimization problem) for obtaining the variable (vector x) that optimizes the above-described evaluation function by the least square method under the above-described constraint conditions. Since the least square method is generally well known, a detailed description of the solution is omitted. FIG. 7 shows a graph of the derived power generation amount instruction value. That is, the power generation amount instruction value 1 of the power generation device 1 is indicated by a thick thick solid line, and the power generation amount instruction value 2 of the power generation device 2 is indicated by a thin thin solid line. In FIG. 7, the horizontal axis indicates the time (hour) of the day from 0:00 to 24:00, and the vertical axis indicates the power generation amount instruction value [W]. Moreover, the graph shown in FIG. 6 and FIG. 7 illustrates each power generation amount of the power generation devices 1 and 2 for a certain day and each power generation amount instruction value to the power generation devices 1 and 2 over 24 hours. It is not created for each process of the control program shown in FIG. That is, the operation control device 30 generates power based on the current total power consumption and the current power generation output amount of the power generation devices 1 and 2, that is, the power generation amount instruction value derived during the previous processing cycle (60 seconds before). The current power generation amount instruction value is derived from the generated power generation amount, and the derived result is transmitted to the power generation apparatus 10.

  As an optimization method, not only the least square method but also other methods such as a Newton method, a gradient method, and a steepest descent method may be adopted. In this case, it is necessary to change the evaluation function according to each method.

  In step 116, the operation control device 30 transmits the power generation amount instruction value derived in step 114 to the corresponding power generation device to cause each power generation device 10 to generate power. Each power generation device 10 generates power according to the power generation amount instruction value from the operation control device 30 so as to obtain the power generation amount.

  In step 118, the operation control device 30 stands by until a predetermined time elapses, and then returns the program to step 104. As a result, the processing from step 104 to step 116 described above can be repeatedly executed at predetermined time intervals. Therefore, transmission of the power generation amount instruction value from the operation control device 30 to each power generation device is performed every predetermined time, and each power generation device 10 receives the next power generation amount instruction value (until the predetermined time of step 118 elapses). ) Power is generated with the power generation amount corresponding to the power generation amount instruction value received this time.

  The predetermined time is set to a time with a high probability that the total power consumption at the present time (current time) is the same as the total power consumption. In other words, this time is an elapsed time from the present when there is a high probability that the total power consumption is the same as the current total power consumption. In the present embodiment, the predetermined time is set to 60 seconds. This means that there is a high probability that the total power consumption at the current time and the total power consumption after 60 seconds are almost the same. This will be described in detail below. FIG. 8 shows the correlation between the total power consumption at the current time and the total power consumption after 60 seconds. In FIG. 8, the horizontal axis and the vertical axis indicate the power consumption [W], respectively. As is apparent from the graph of FIG. 8, it can be seen that there is a high probability that the total power consumption at the current time and the total power consumption after 60 seconds are substantially the same. Further, the amount of change in power consumption after 60 seconds is shown in FIG. As is clear from FIG. 9, the probability that the change in the power consumption after 60 seconds is 100 W or more is 22%, and the probability that it is 100 W or less is 78%. From these statistical viewpoints, it was found that the power consumption at the current time can be the power consumption after 60 seconds.

  FIG. 10 shows the excess and deficiency [kWh] of the respective power generation amounts when the present invention is not used (when power generation is performed by predicting power consumption as in the prior art) and when the present invention is used. In FIG. 10, the case where the present invention is used is shown by a right bar graph, and the case where the present invention is not used is shown by a left bar graph. The insufficient amount of power generation is indicated by hatching with a rising left, and the excess amount of power generation is indicated by hatching with a rising right. As shown in FIG. 10, according to the above-described distributed power supply system according to the present invention, it is understood that the power generation excess / deficiency can be reduced by 76% compared to the case where the present invention is not used. Therefore, there is no waste of excess power generation and power generation deficiency, and efficient power generation can be performed.

  In addition, FIG. 11 shows the power generation amount and the total power consumption when power is generated by two power generators to which the present invention is not applied in time series data, and FIG. The power generation amount and the total power consumption in the case are shown by time series data. In FIG. 11 and FIG. 12, the power generation amount of the power generation device 1 is indicated by a light solid line, the power generation amount of the power generation device 2 is indicated by a dark solid line, and the power consumption place that is the power supply destination of the power generation devices 1 and 2 is indicated by a dark broken line. Total power consumption is shown. 11 and 12, each horizontal axis indicates the time (hour) of the day, and each vertical axis indicates the electric energy [W]. As is clear from FIGS. 11 and 12, in each case, the power generation amount corresponds to the total power consumption. However, when the present invention is applied, fluctuations in the respective power generation amounts of the power generation devices 1 and 2 occur. It can be seen that there are few. FIG. 13 shows a quantified amount of variation [W] of each power generation amount with and without using the present invention, for example, an integrated value within a predetermined time. In FIG. 13, a case where the present invention is used is shown by a left bar graph, and a case where the present invention is not used is shown by a right bar graph. As shown in FIG. 13, it can be seen that when the present invention is used, the fluctuation amount of the power generation amount can be reduced by about 50% compared to the case where the present invention is not used. Therefore, it is possible to contribute to improvement of durability of the power generation device and reduction of input fuel.

  As is apparent from the above description, in this embodiment, the total power consumption measuring means (steps 104 and 106) measures the total power consumption consumed by each load device 21 and measures the generated power output. The means (step 108) measures the power generation output amount output from each power generation device, respectively, and the power generation amount instruction value deriving means (steps 110 to 114) and the power generation output amounts respectively measured by the measurement means and By solving the evaluation function defined based on the total power consumption by the optimization method under the constraint conditions defined based on the maximum and minimum power generation of each power generation device, the power generation amount indication value of each power generation device And the power generation control means (step 116) controls the power generation amount of each power generator according to the power generation amount instruction value derived by the power generation amount instruction value deriving means. Thereby, the power generation amount instruction value is based on each power generation output amount and total power consumption respectively measured by each measuring means without calculating the power generation amount instruction value of the power generation device based on the prediction result predicted in advance. It can be calculated as an optimum value. Therefore, it is possible to efficiently generate power while suppressing excess and deficiency of the power generation output amount and the power demand amount as much as possible.

  Further, since the evaluation function is set so as to minimize the fluctuation amount of the power generation output amount of each power generation apparatus 10 and to match the total power consumption amount and the total power generation output amount, the derived power generation amount When the power generation device 10 generates power based on the instruction value, the amount of fluctuation in the power generation output amount of the power generation device 10 is suppressed to the minimum, and the total power consumption amount matches the total power generation output amount. Therefore, durability of the power generation device can be improved, fuel consumption can be improved, and power can be generated efficiently.

  In addition, the evaluation function includes a value obtained by summing the square value of the difference between the power generation amount instruction value for each power generation device and the power generation output amount detected by the power generation output amount detection means for all the power generation devices, and the sum of the power generation amount instruction values. Since the term of the square value of the difference of the total power consumption detected by the total power consumption detection means is included, the optimal power generation amount instruction value can be easily and accurately calculated using a simple function.

  In addition, the current power (current time) total power consumption and the total power consumption are the same for the total power consumption measuring unit, the power generation output amount measuring unit, the power generation amount instruction value deriving unit, and the power generation control unit. Since it is executed after a predetermined time with a high probability, it is possible to efficiently generate power while suppressing the excess or deficiency of the power generation output amount and the power demand amount.

  Further, as the power generation device 10, there is a power generation device 11 in which the power generator 11 generates AC power and directly outputs it without going through the exchanger 12.

1 is a schematic diagram showing an outline of an embodiment of a distributed power supply system according to the present invention. It is a flowchart of the control program performed with the operation control apparatus shown in FIG. It is time series data which shows the electric power consumption of A house. It is time series data which shows the electric power consumption of B house. It is time series data which shows total power consumption. It is time series data which shows the electric power generation amount of an electric power generating apparatus. It is time series data which shows the electric power generation amount instruction value from an operation control apparatus to a power generator. It is a graph which shows the probability density function of the power consumption after the present time and 60 seconds. It is a pie chart which shows the ratio of the amount of change of power consumption after 60 seconds. It is a graph which shows the excess and deficiency of the electric power generation amount when not using with the case where this invention is used. It is a graph which shows the electric power generation amount when not using this invention. It is a graph which shows the electric power generation amount at the time of using this invention. It is a graph which shows the variation | change_quantity of the electric power generation amount when not using it with the case where this invention is used.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 10 ... Power generation device, 11 ... Generator, 12 ... Converter, 13 ... Fuel supply device, 14 ... Water supply device, 15 ... Power transmission line, 16 ... System power supply, 17 ... Control device, 18, 22 ... Wattmeter, 20 ... load device installation place, 21 ... load device, 30 ... operation control device.

Claims (4)

A plurality of power generators;
A plurality of load device installation places where load devices that operate with electric power supplied from each of the power generation devices are installed, and
Total power consumption measuring means for measuring the total power consumption consumed by each of the load devices;
Power generation output amount measuring means for measuring the power generation output amount output from each of the power generation devices,
An evaluation function defined on the basis of the respective power generation output amounts and the total power consumption measured by the respective measuring means is defined as a constraint condition defined on the basis of the maximum and minimum power generation amounts of the respective power generation devices. And a power generation amount instruction value deriving means for deriving a power generation amount instruction value of each of the power generation devices by solving with an optimization method,
A distributed power supply system comprising: a power generation control unit that controls a power generation amount of each of the power generation devices in accordance with a power generation amount instruction value derived by the power generation amount instruction value deriving unit.   2. The evaluation function according to claim 1, wherein the evaluation function is set so as to suppress a fluctuation amount of the power generation output amount of each power generation device to a minimum and to match the total power consumption amount and the total power generation output amount. Features a distributed power supply system.   3. The evaluation function according to claim 2, wherein the evaluation function is a sum total of the square value of the difference between the power generation amount instruction value for each power generation device and the power generation output amount detected by the power generation output amount detection means for all the power generation devices, A distributed power supply system including a term of a square value of a difference between the sum of the power generation amount indication values and the total power consumption detected by the total power consumption detection means.   4. The process according to claim 1, wherein the total power consumption measuring unit, the power generation output amount measuring unit, the power generation amount instruction value deriving unit, and the power generation control unit are repeatedly processed. A distributed power supply system, which is executed at a predetermined time with a high probability that consumption and total power consumption are the same.

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