JP2010182073A - Cogeneration system, its operation plan creation method and operation plan creation device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To make a suitable operation plan with small amounts of calculation. <P>SOLUTION: The operation plan creation device of a cogeneration system equipped with a power generation device and a heat accumulation device for accumulating heat by collecting an exhaust heat is provided with: a prediction amount storage part 51 for storing future power usage prediction value and a future heat usage prediction value; an adaptivity calculation part 52 for determining the amounts of energy reduction in the case of operating a power generation device on the basis of the power usage prediction value and the heat usage prediction value so that it can be represented with an individual consisting of gene indicating the amounts of power generation by time period; an individual group generation part 53 for generating a first generation being the group of individuals; a load follow-up individual generation part 54 for generating a load follow-up individual whose gene is at least partially associated with the power usage predication value; a mating part 55 for generating the group of individuals in a new generation from the group of individuals in the previous generation by a genetic algorithm so that the amounts of energy reduction can be increased; and an operation plan creation part 56 for creating an operation plan from the individual whose amounts of energy reduction are the largest among the group of individuals in the last generation. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a cogeneration system such as a household fuel cell system, an operation plan creation method thereof, and an operation plan creation apparatus.

  A household fuel cell system is a cogeneration system that recovers exhaust heat and produces hot water while generating power using city gas or LP gas. A household with a fuel cell system can be expected to have an energy saving effect that reduces the amount of primary energy consumed compared to a household where electric power is supplied only from a commercial power system and hot water is supplied only from a hot water boiler.

  In a general household fuel cell system, fuel such as city gas or LP gas is supplied to the fuel cell unit while the flow rate is controlled by the fuel control means. This fuel is processed into reformed gas rich in hydrogen by the reforming means and supplied to the fuel cell main body. The fuel cell main body generates power with this reformed gas and the surrounding air. The direct current electricity generated by the fuel cell body is converted into alternating current electricity by an inverter, and is supplied to the installed household power load together with the commercial power system.

  The heat generated in the fuel cell body during power generation is stored in the hot water storage tank in the hot water storage unit via the fuel cell cooling water and the heat exchange means, and the hot water stored in the hot water storage tank is supplied to the installation household. Also, heat is recovered from the exhaust gas of the fuel cell main body and the exhaust gas of the reforming means.

  The operation plan setting means makes an operation plan of the fuel cell system suitable for the installation home. The output control means controls the output of the fuel cell according to the operation plan established by the operation plan setting means. Specifically, the fuel flow rate is controlled by changing the output of the fuel control means. When the power supplied from the fuel cell unit exceeds the power load of the installed home, the power flows backward to the commercial power system. In order to avoid this reverse power flow, the output control means controls the output below the operation plan when the output power from the inverter exceeds the power load while performing the output control according to the operation plan. .

  In the operation of a household fuel cell system, the operation plan established by the operation plan determination means greatly affects the energy saving effect. For example, when the amount of power generation is too small in a household where a large amount of hot water is used, it is obvious that sufficient power and hot water cannot be supplied to the household, and a high energy saving effect cannot be obtained. On the other hand, even if the amount of power generation is increased to increase the amount of recovered hot water, there are restrictions due to the power generation capacity of the system and restrictions for avoiding reverse power flow. Even if a large amount of heat can be recovered with high output, if the amount of heat recovered becomes excessive, the remaining hot water in the hot water storage tank will continue for a long time, resulting in increased heat dissipation and radiator operation, resulting in reduced energy savings. .

JP 2004-318824 A

  In order to achieve high energy savings in a home fuel cell system, it is important that hot water runs out and excess water does not occur with respect to the amount of hot water used in the installed home. For this reason, it is indispensable to make an optimal operation plan in consideration of the usage pattern of electricity and hot water in the installation home in the operation plan setting means.

  However, actually finding the optimal operation plan is equivalent to finding an optimal solution from an infinite number of operation plans under many calculation conditions such as the usage pattern of power and hot water and system efficiency. For this reason, it is necessary to solve very complicated optimization problems. Therefore, Patent Document 1 discloses a method of making an operation plan using a stochastic model genetic algorithm, which is an advanced genetic algorithm effective for solving a complicated optimization problem. However, in the stochastic model genetic algorithm described in Patent Document 1, the amount of calculation for optimization is very large, and it is difficult to execute the calculation in an actual fuel cell unit.

  Accordingly, an object of the present invention is to enable a suitable operation plan for a cogeneration system to be established with a small amount of calculation.

  In order to achieve the above-mentioned object, the present invention provides, in a cogeneration system, a power generation device that supplies power to an electric power load, a heat storage device that collects exhaust heat of the power generation device, stores the heat, and supplies the heat load to the heat load, A prediction amount storage unit that stores a predicted future power usage value of the power load and a predicted future heat usage value of the thermal load, and an individual represented by a gene that represents a power generation amount of the power generation device for each time zone As described above, the fitness calculation unit that obtains the fitness when the power generation apparatus is operated based on the predicted power usage value and the predicted heat usage value, and the first generation that is the group of individuals is generated. An individual group generation unit, a load following individual generation unit for forcibly generating a load following individual corresponding to the predicted power usage amount of at least a part of the gene, and a group of individuals of the previous generation To a new generation A mating portion for generating a group of serial individual in the genetic algorithm, and having a driving plan generator, the defining the operation plan on the basis of any of the individuals that have been generated up to the last generation.

  According to another aspect of the present invention, there is provided an operation plan creation method for a cogeneration system comprising: a power generation device that supplies power to a power load; and a heat storage device that recovers and stores the exhaust heat of the power generation device to store the heat. A prediction amount storage step for storing a predicted future power usage amount of the power load and a predicted future heat usage amount of the thermal load, and an individual comprising a gene representing the power generation amount of the power generation device for each time zone And a fitness calculation step for determining fitness when the power generator is operated based on the predicted power usage value and the predicted heat usage value, and generating a first generation as a group of individuals A population generation step, a load following individual generation step for forcibly generating a load following individual in which at least some of the genes correspond to the predicted power usage value for any generation, and the previous generation of the individual A mating step of generating a group of individuals of a new generation from a genetic algorithm by a genetic algorithm, and an operation plan creation step of determining an operation plan based on any individual generated up to the last generation, To do.

  In addition, the present invention provides an operation plan creation device for a cogeneration system comprising: a power generation device that supplies power to a power load; and a heat storage device that recovers and stores the exhaust heat of the power generation device and supplies the heat to the heat load. A predicted amount storage unit for storing a predicted future power usage value of the power load and a predicted future heat usage value of the thermal load, and an individual comprising a gene representing the power generation amount of the power generator for each time zone As shown, an fitness calculation unit that obtains fitness when the power generation apparatus is operated based on the predicted power usage value and the predicted heat usage value, and generates a first generation that is a group of the individuals An individual population generation unit, a load following individual generation unit for forcibly generating a load following individual corresponding to the predicted power usage amount of at least a part of the gene, and a generation of the individual of the previous generation New from the group And having a mating portion for generating Genetic Algorithm groups of the individual generations, the last and operational planning portion defining the operating schedule based on any of the individuals were generated to generation, the.

  According to the present invention, a suitable operation plan for a cogeneration system can be established with a small amount of calculation.

It is a block diagram in a 1st embodiment of a household fuel cell system concerning the present invention. It is a block diagram of the driving | operation plan preparation apparatus in 1st Embodiment of the household fuel cell system which concerns on this invention. It is a flowchart of the driving | operation plan preparation method in 1st Embodiment of the household fuel cell system which concerns on this invention. It is a table | surface which shows the 1st generation gene in 1st Embodiment of the household fuel cell system which concerns on this invention. It is a graph which shows the maximum value of the fitness for every generation at the time of producing an operation plan in 1st Embodiment of the household fuel cell system which concerns on this invention. It is a graph which shows the maximum value of the fitness for every generation at the time of producing an operation plan, without producing | generating a load following individual | organism | solid. It is a flowchart of the driving | operation plan preparation method in 2nd Embodiment of the household fuel cell system which concerns on this invention. It is a graph which shows the example of the time change of the electric power use prediction amount in the 2nd Embodiment of the household fuel cell system which concerns on this invention, an operation plan gene, and the hot water storage tank heat storage prediction amount. It is a graph which shows the example of the time change of the electric power use prediction amount, the operation plan gene, and the hot water storage tank heat storage prediction amount when not putting the individual whose genes are all zero. It is a flowchart of the driving | operation plan preparation method in 3rd Embodiment of the household fuel cell system which concerns on this invention. It is a graph which shows the highest value of the fitness for every generation at the time of producing an operation plan in 3rd Embodiment of the household fuel cell system which concerns on this invention. It is a graph which shows the highest value of the fitness for every generation at the time of producing an operation plan, without using the individual corresponding to the past operation plan.

  An embodiment of a fuel cell power generation system according to the present invention will be described with reference to the drawings. In addition, the same code | symbol is attached | subjected to the same or similar structure, and the overlapping description is abbreviate | omitted.

[First Embodiment]
FIG. 1 is a block diagram of a first embodiment of a household fuel cell system according to the present invention.

  The household fuel cell system of the present embodiment includes a fuel cell unit 31 and a hot water storage tank 19. The fuel cell unit 31 includes a fuel cell power generation device 32, an output control device 15, a heat exchanger 18, and an operation plan creation device 17. The fuel cell power generation device 32 includes a fuel controller 11, a reformer 12, a fuel cell main body 13, and an inverter 14.

  A fuel supply pipe 21 extending from an external fuel supply source is connected to the fuel controller 11. Pipes are connected between the fuel controller 11 and the reformer 12 and between the reformer 12 and the fuel cell main body 13. Further, a cooling pipe 23 for circulating a cooling medium is provided between the high temperature side of the heat exchanger 18 and the fuel cell main body 13. A heating pipe 24 for circulating water is provided between the low temperature side of the heat exchanger 18 and the hot water storage tank 19.

  The DC input side of the fuel cell main body 13 and the inverter 14 is electrically connected. The AC output side of the inverter 14 is connected to the commercial power system 22 and the power load 16. The power load 16 is, for example, a refrigerator installed in the home. The liquid phase of the hot water storage tank 19 is connected to a hot water supply load 20 such as a bath installed in the home by piping.

  Hot water usage information 41 is transmitted from the hot water supply load 20, and power usage information 42 is transmitted from the power load 16 to the operation plan creation device 17. The power usage amount information 42 is also transmitted to the output control device 15. The output power amount information 43 of the inverter 14 is transmitted to the output control device 15. The operation plan 44 is transmitted from the operation plan creation device 17 to the output control device 15. The output control device 15 controls the fuel controller 11 and the like.

  A fuel such as city gas or LP gas is supplied to the fuel cell unit 31 while the flow rate is controlled by the fuel controller 11. This fuel is processed into a hydrogen-rich reformed gas by the reformer 12 and supplied to the fuel cell main body 13. The fuel cell main body 13 generates electric power with this reformed gas and ambient air. The direct current electricity generated by the fuel cell main body 13 is converted into alternating current electricity by the inverter 14, and is supplied to the installed electric power load 16 together with the electricity supplied from the commercial power system 22.

  The heat generated in the fuel cell main body 13 during power generation is stored in the hot water storage tank 19 via the fuel cell cooling water flowing through the cooling pipe 23 and the heat exchanger 18. Hot water stored in the hot water storage tank 19 is supplied to a hot water supply load 20 in the installation home. The water in the hot water storage tank 19 may be recovered from the exhaust gas of the fuel cell main body 13 and the exhaust gas of the reformer 12.

  The operation plan creation device 17 makes an operation plan of the fuel cell system suitable for the installation home. The operation plan is a power generation amount for each time zone output from the inverter. The output control device 15 controls the output of the fuel cell according to the operation plan established by the operation plan creation device 17. Specifically, the fuel controller 11 is controlled to control the flow rate of fuel supplied to the reformer 12 and the like. When the power supplied by the fuel cell unit 31 exceeds the power load of the installed home, the power flows back to the commercial power system 22. In order to avoid this reverse power flow, the output control means 15 performs output control according to the operation plan, but when the output power from the inverter 14 is about to exceed the power load 16, the output below the operation plan is output. To control.

  FIG. 2 is a block diagram of the operation plan creation apparatus in the present embodiment. FIG. 3 is a flowchart of the operation plan creation method in the present embodiment.

  The operation plan creation device 17 includes a predicted amount storage unit 51, an fitness calculation unit 52, an individual group generation unit 53, an additional follow-up individual generation unit 54, a mating unit 55, and an operation plan generation unit 56. is doing. The operation plan creation method can be broadly divided into prediction of future hot water usage and electric power consumption (S1), and determination of an operation plan using the predicted amount (S2 to S8). Since this embodiment is intended for a household cogeneration system, the amount of hot water used is equal to the amount of heat used. Steps S2 to S8 are steps for finding an optimal solution of the operation plan using a genetic algorithm.

  Here, the optimum solution of the operation plan is a solution having the highest fitness for energy saving of the operation plan. As an adaptability of the operation plan, for example, an energy reduction amount is used as an index. The amount of energy reduction is based on the sum of the energy usage when the external power supply supplies the predicted power usage and the energy usage when the external heat supply supplies the predicted heat usage. And The external power supply source is, for example, the commercial power system 22. The external heat supply source is, for example, a water heater that supplies city gas or the like from the fuel supply pipe 21 to boil and supply hot water.

  The fitness reduction unit 52 calculates the energy reduction amount. This energy reduction amount is expressed by the following equation.

Energy reduction = ST / EF + SE / EE-CF
Here, ST is the hot water supply amount, EF is the hot water heater efficiency, SE is the power supply amount, EE is the power plant power generation efficiency, and CF is the fuel consumption amount.

  First, in step S1, the predicted power storage unit 51 stores a future power usage prediction value of the power load and a future heat usage prediction value of the heat load. For example, the operation plan creation device 17 predicts the predicted power usage amount and the predicted heat usage value based on the past hot water usage amount and power usage amount. Alternatively, the predicted power usage amount and the predicted heat usage value may be given from the outside.

  Next, the individual group generation unit 53 generates a group of first generation individuals (S2, S3). Here, an individual is a collection of genes. The gene is a numerical value representing the power generation amount of the fuel cell power generation device 32 for each time zone. In step S2, the additional following individual generation unit 54 generates a load following individual, and in step S2, the remaining first generation individual is generated. A load following individual is an individual in which at least some of the genes correspond to the predicted power usage. The remaining individuals are generated by a collection of random numbers, for example.

  FIG. 4 is a table showing the first generation genes in the present embodiment. In this table, the first generation genes are shown as driving plan genes. This table also shows the predicted hot water usage amount, predicted power usage amount, predicted fuel consumption amount, predicted hot water storage heat storage amount, predicted hot water supply amount, and predicted power supply amount for each time zone.

  The predicted amount of hot water used in FIG. 4 is a predicted value of the amount of hot water consumed in the installation home, and is not limited to the hot water supplied with the heat recovered from the exhaust heat of the household fuel cell system, but also with a separate boiler or the like. This includes the use of boiling water. In addition, the predicted power usage amount in FIG. 4 is a predicted value of the power usage amount consumed in the installation home, and uses not only the power supplied by the fuel cell power generator 32 but also the power supplied from the commercial power system 22. Including cases. The predicted fuel consumption amount represents the amount of fuel supplied from the fuel supply pipe 21 in order to generate power along the operation plan gene in units of energy. The hot water storage tank heat storage prediction amount represents the amount of hot water stored in the hot water storage tank in the unit of energy when power is generated according to the operation plan gene and hot water is used in the installed household according to the hot water use prediction amount. The predicted hot water supply amount and the predicted power supply amount are the supply amounts of hot water and power supplied by this household fuel cell system when power is generated according to the operation plan gene.

  As shown in FIG. 4, in the present embodiment, an individual using a value of the predicted power usage amount itself as a gene is used as the load following individual. However, when the predicted power usage amount deviates from the range of the minimum output (250 W here) of the fuel cell power generation device 32 to the maximum output (700 W here), the minimum output or maximum output is determined as the gene. And

  The i-th individual of the nth generation is represented as pn, i = {g1, g2,..., Gm}. Here, gj is a gene indicating the power generation amount for each time zone, and m is the number of genes, that is, the number of time zones corresponding to the operation period corresponding to the operation plan. For example, an operation plan for 72 hours is created every hour. The number of individuals in each generation is 50, for example. The first generation population is, for example, as follows.

p1,1 = {618,605,615,700, ..., 700,700,700,700}
p1,2 = {497,368,700,574, ..., 254,543,354,266}
p1,3 = {633,567,297,404, ..., 365,487,667,354}
:
p1, 50 = {560,463,654,365, ..., 265,451,654,354}
Among the first generation individuals, p1 and 1 are load following individuals. Each gene of p1,2 to p1,50 is given by, for example, a random number within the range from the minimum output to the maximum output.

  Next, crossover (S3) and mutation (S4) operations are added to these populations. As a crossover operation, two-point crossover is applied to generate 20 offspring from 20 pairs of parent individuals. Mutation is assumed to occur with a probability of 3%, and in the mutation operation, a randomly selected gene between two points is replaced with a random number ranging from the minimum output to the maximum output of the domestic fuel cell system.

  Thereafter, the fitness calculation unit calculates the fitness of each individual and the first generation of individuals generated in this way (S5). Next, these individuals are selected by elite selection that leaves only 50 individuals with high fitness, and a second generation individual group is generated (S6). In the crossover (S3), mutation (S4), and elite selection (S6) operations for generating a new generation population using a genetic algorithm, the number of generations is checked (S7) until a predetermined number of generations is reached. Repeated. When the predetermined number of generations is reached, the operation plan creation unit 55 determines an operation plan based on any individual generated up to the last generation. The operation plan creation unit 56 sets, for example, an individual having the largest fitness, that is, an energy reduction amount, among the individual groups of the last generation.

  When applying a genetic algorithm, it is necessary to create a first generation individual at the beginning of the calculation. In general, when a genetic algorithm is used, a random number is often incorporated into the first generation gene. However, if this method is applied to the optimization of the fuel cell operation plan, there are innumerable ways to formulate the operation plan, and individuals with sufficient fitness cannot be obtained unless the number of generations is calculated. . However, in the operation of the fuel cell system, the amount of energy reduction tends to be high if the electric power load is followed unless excess water is generated. Therefore, there is a high possibility that the optimum solution of the operation plan to be obtained exists in this vicinity.

  FIG. 5 is a graph showing the maximum fitness value for each generation when an operation plan is created in the present embodiment. FIG. 6 is a graph showing the maximum fitness value for each generation when an operation plan is created without generating a load following individual.

  As shown in FIG. 5, in the present embodiment in which the individuals that follow the power load are included in the first generation, compared to the result when the load following individuals shown in FIG. You can see that it is created. This is because the load following individual was used as a first generation parent and was deceived by offspring that prevented excess water.

  In this way, by giving the gene a power generation output that follows the power load for one of the first generation individuals, an individual with high fitness can be created even with the same number of iterations. Thereby, a suitable operation plan can be obtained with the number of repeated calculations, that is, with a small amount of calculation.

In the present embodiment, an individual that perfectly follows the predicted power usage value is created in the first generation, but may be partly different from the predicted power usage value. For example, in order to make it difficult for reverse power flow to the power system to occur, an individual with an output obtained by subtracting a margin from the predicted power usage amount may be used. In this embodiment, the individual is made in the first generation. However, since the substantial effect does not change even if the individual is made in another generation, the individual may be made in another generation according to convenience. . In addition, two-point crossover and elite selection are used for crossover and selection, but one-point crossover and roulette selection may be used. Although the energy reduction amount is applied to the fitness level, a CO ₂ reduction amount or a utility cost reduction amount that substantially corresponds to the energy reduction amount may be used as the fitness level.

[Second Embodiment]
FIG. 7 is a flowchart of the operation plan creation method in the second embodiment of the household fuel cell system according to the present invention.

  In this embodiment, a step (S9) of forcibly adding individuals whose genes are all zero is added to the first embodiment before entering the next generation genetic manipulation. A gene of zero indicates that the fuel cell power generation device 32 has stopped generating power. In other words, an individual whose gene is all zero as shown below indicates an operation plan in which no power generation is performed.

p1, 51 = {0,0,0,0, ..., 0,0,0,0}
In a household where the amount of hot water used is small, even if the fuel cell power generation device 32 is continuously operated at a low output, the hot water stored in the hot water storage tank 19 may remain. Furthermore, in a normal fuel cell power generation system, power generation at low output tends to be unable to achieve high energy savings because power generation efficiency and exhaust heat recovery efficiency are also reduced. Therefore, in such an installed home, it is easier to obtain higher energy saving performance by not operating the fuel cell system and restarting it when necessary, rather than operating at a low output for a long time.

  In this embodiment, the operation stop is expressed by putting a zero in the gene. However, if this zero is sporadically introduced by the application of mutation, an individual having information that can be restarted after one hour of stoppage is formed. In such an individual, there is a case where high fitness cannot be obtained due to the influence of the start / stop loss of the fuel cell system.

  A progeny formed by crossing with an individual whose gene is all zero has a continuous zero sequence in a part of the gene. As a result, an individual with an operation plan that stops for a certain period of time is formed, and when the amount of hot water used is small, the fitness of this individual is high, and it tends to remain without being deceived by the next generation.

  FIG. 8 is a graph showing an example of temporal changes in the predicted power usage, the operation plan gene, and the hot water storage heat storage predicted amount in the present embodiment. FIG. 9 is a graph showing an example of temporal changes in the predicted power usage amount, the operation plan gene, and the hot water storage tank heat storage prediction amount when an individual whose genes are all zero is not included. FIG. 8 and FIG. 9 are both plots of the operation plan of the individual with the highest fitness in the 100th generation.

  It can be seen from FIG. 8 that an operation plan for stopping the operation can be made only by forcibly creating an individual with zero genes for each generation. The fitness in the case shown in FIG. 8 is 37.4, which is higher than the fitness in the case shown in FIG. 9 which is 14.4. That is, it is possible to create an operation plan with a higher fitness even when the amount of hot water used is small by forcibly creating individuals with zero genes for each generation.

  Further, in this embodiment, the individuals whose genes are all zero are forcibly generated in all generations, but may be generated in the generations that are skipped, such as every other generation. Alternatively, an individual in which some continuous genes are zero may be generated.

[Third Embodiment]
FIG. 10 is a flowchart of the operation plan creation method in the third embodiment of the household fuel cell system according to the present invention.

  In the present embodiment, a step (S10) of generating a pre-driving plan following individual is added to the first embodiment. The individual following the driving plan is an individual corresponding to a past driving plan.

  In the present embodiment, for example, it is assumed that the power generation amount of the fuel cell power generation device 32 every hour is created as an operation plan, and that the operation plan is reviewed every hour. In this case, the previous operation plan is considered to be highly adaptable even as the operation plan that is going to be made at that time. Therefore, an individual that follows the previous operation plan is included in the first generation individuals used to create the current operation plan.

  For example, it is assumed that the calculation is performed up to the nth generation every hour, and the individual having the highest fitness in the nth generation in the calculation one hour ago is the next pn, i.

pn, i = {P1, P2, P3, P4, ..., P69, P70, P71, P72}
In this case, by using this individual pn, i, the next individual is assigned to the first generation who intends to make a new operation plan using a random number R between the minimum output and the maximum output of the fuel cell power generation device 32. include.

p1,2 = {P2, P3, P4, P5, ..., P70, P71, P72, R}
The remaining first generation individuals use a random number between the lowest output and the highest output of the fuel cell power generation device 32 as a gene.

  Since these individuals p1 and p2 have been deceived as individuals with high fitness in an iterative calculation one hour ago, there is a high possibility that they will have sufficient fitness even in the operation plan to be established at that time. . Therefore, it is easy to form individuals with high fitness even with a small number of iterations.

  FIG. 11 is a graph showing the maximum fitness value for each generation when an operation plan is created in the present embodiment. FIG. 12 is a graph showing the maximum fitness value for each generation when an operation plan is created without using an individual corresponding to a past operation plan.

  From FIG. 11 and FIG. 12, it can be seen that when individuals corresponding to the operation plan one hour ago are used, individuals with high fitness are formed even if the number of repeated calculations is small. As described above, in this embodiment, by using the gene of the individual having the highest fitness in the last generation one hour ago for the creation of the first generation individual, the fitness can be reduced while reducing the number of repeated calculations. High individuals can be formed.

  Further, although the individual with the highest fitness one hour ago is used here, it may be used by applying the calculation result of the same one week ago as it is.

[Other embodiments]
The above-described embodiments are merely examples, and the present invention is not limited to these. For example, in each of the above-described embodiments, a household fuel cell power generation system has been described as an example. However, it may be a cogeneration system including a power generation device and a heat storage device that recovers and uses the exhaust heat of the power generation device. It can be applied to any system. An individual gene may be optimized as the heat storage amount of the hot water storage tank, and the output of the fuel cell may be calculated backward from the target heat storage amount.

  Moreover, it can also implement combining the characteristic of each embodiment.

DESCRIPTION OF SYMBOLS 11 ... Fuel controller, 12 ... Reformer, 13 ... Fuel cell main body, 14 ... Inverter, 15 ... Output control device, 16 ... Electric power load, 17 ... Operation plan preparation device, 18 ... Heat exchanger, 19 ... Hot water storage tank 20 ... Hot water supply load, 21 ... Fuel supply piping, 22 ... Commercial power system, 23 ... Cooling piping, 24 ... Heating piping, 31 ... Fuel cell unit, 32 ... Fuel cell power generator, 41 ... Hot water usage information, 42 ... Power usage amount information, 43 ... Output power amount information, 44 ... Operation plan, 51 ... Predicted amount storage unit, 52 ... Fitness calculation unit, 53 ... Individual group generation unit, 54 ... Additional follow-up individual generation unit, 55 ... Mating unit 56 ... Operation plan creation part

Claims (6)

A power generator for supplying power to the power load;
A heat storage device that recovers and stores the exhaust heat of the power generation device and supplies the heat load to a heat load;
A predicted amount storage unit for storing a predicted future power usage amount of the power load and a predicted future heat usage amount of the thermal load;
The fitness when the power generation device is operated so as to be represented by an individual consisting of a gene representing the power generation amount of the power generation device for each time zone is obtained based on the predicted power usage amount and the predicted heat usage amount. An fitness calculator,
A population generation unit for generating a first generation which is a group of the individuals;
A load following individual generation unit for forcibly generating a load following individual corresponding to the predicted power usage value of at least some of the genes;
A mating unit that generates a group of individuals of the new generation from the group of individuals of the previous generation with a genetic algorithm;
An operation plan creation unit that determines an operation plan based on any individual generated up to the last generation,
A cogeneration system characterized by comprising:   2. The cogeneration system according to claim 1, wherein the population generation unit generates a power generation stopped individual in which at least a part of the genes indicates a power generation stop of the power generation device in any generation.   The cogeneration system according to claim 1 or 2, wherein the individual group generation unit generates a previous driving plan following individual corresponding to the past driving plan in any generation.   The individual following the previous driving plan includes the genes obtained by deleting the genes prior to the first time zone of the driving plan to be created this time from among the genes included in the corresponding driving plan and sequentially moving up the rest. The cogeneration system according to claim 3. In an operation plan creation method of a cogeneration system comprising: a power generation device that supplies power to an electric power load; and a heat storage device that recovers and stores the exhaust heat of the power generation device and supplies the heat to the heat load.
A predicted amount storage step of storing a predicted future power usage amount of the power load and a predicted future heat usage amount of the thermal load;
The fitness when the power generation device is operated so as to be represented by an individual consisting of a gene representing the power generation amount of the power generation device for each time zone is obtained based on the predicted power usage amount and the predicted heat usage amount. Fitness calculation process;
A population generation step of generating a first generation which is a group of the individuals;
A load following individual generation step for forcibly generating a load following individual corresponding to the predicted power usage value of at least a part of the gene;
A mating step of generating a group of individuals of a new generation from a group of individuals of the previous generation with a genetic algorithm;
An operation plan creation process that determines an operation plan based on any individual generated up to the last generation,
An operation plan creation method characterized by comprising: In an operation plan creation device for a cogeneration system comprising: a power generation device that supplies power to an electric power load; and a heat storage device that recovers and stores exhaust heat of the power generation device and supplies the heat to the heat load.
A predicted amount storage unit for storing a predicted future power usage amount of the power load and a predicted future heat usage amount of the thermal load;
The fitness when the power generation device is operated so as to be represented by an individual consisting of a gene representing the power generation amount of the power generation device for each time zone is obtained based on the predicted power usage amount and the predicted heat usage amount. An fitness calculator,
A population generation unit for generating a first generation which is a group of the individuals;
A load following individual generation unit for forcibly generating a load following individual corresponding to the predicted power usage value of at least some of the genes;
A mating unit that generates a group of individuals of the new generation from the group of individuals of the previous generation with a genetic algorithm;
An operation plan creation unit that determines an operation plan based on any individual generated up to the last generation,
An operation plan creation device characterized by comprising:

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