JP2023108712A - Despatch plan creation device and method - Google Patents

Abstract

To realize achievement of a command value and ensure that demand response is not triggered for energy resources with low compliance to a past despatch plan.SOLUTION: A despatch plan creation device comprises an index calculation unit 40 that calculates an index of compliance of energy resources with respect to a past despatch plan based on the difference between the past actual power generation amount and the planned power generation amount, an optimization problem formulation unit 42 that sets at least a constraint formula to match a command value from an electric utility with the sum of the planned power generation amount and an objective function where the index for each energy resource is multiplied by a state variable indicating the activation state of each energy resource and summed for all energy resources, and a solution seeking unit 43 that finds a solution to the optimization problem of dispatch planning as the state value that is a value of the state variable for each energy resource, and the planned power generation amount, which minimizes the objective function value under the constraint equation.SELECTED DRAWING: Figure 2

Description

The present invention relates to a dispatch plan creating apparatus and method for creating a dispatch plan, which is an operation plan for energy resources.

In the 5th Strategic Energy Plan (approved by the Cabinet in July 2018), the Japanese government decided to make renewable energy the main power source in the future, promote competition in the already liberalized energy market, and secure a stable supply. , to develop an environment for the energy market that can respond to issues of the public interest, such as environmental compatibility, including the promotion of renewable energy, and ensuring fairness among consumers.

As a basic viewpoint of the energy policy that summarizes the above, it was decided that "the stable supply of energy should be the first priority, and environmental compatibility should be pursued while improving economic efficiency." In addition, it is clearly stated that demand response (DR) will be used as one of the means to realize the stable supply of energy, which is the main purpose of this basic perspective, and to contribute to the realization of a sustainable society. As a result, system design and system technology related to DR have attracted wide attention.

DR refers to the provision of power generation facilities and storage facilities on the consumer side in response to the setting of electricity rates and the payment of incentives, with the aim of stabilizing the electric power supply by electric power companies that are obliged to stabilize the electric power supply. It is to change power demand by controlling facilities and power consumption facilities (hereafter, these facilities are collectively referred to as energy resources).

The role of DR is to control power consumption by consumers during peak power demand in order to secure power capacity to maintain power supply, and to adjust power supply and demand in real time, which is essential for stable power supply. and changing the power usage pattern on the consumer side.

A business operator may intervene between the electric utility company and the consumer to perform DR under commission from the electric utility company. An electric power company commands a company implementing DR to change the power demand, and the company or the like receiving the command controls energy resources so as to achieve the target. A business operator implementing DR needs to control energy resources so as to comply with instructions from an electric power company.

For this reason, electric utilities that implement DR should be able to meet the demands of electric utilities even if they are small-scale energy resources on the consumer side that cannot achieve their targets on their own, such as conventional large-scale power plants. The goal is achieved by collecting, integrating and controlling multiple small-scale energy resources in accordance with the directives to be implemented. A business operator who receives a command from an electric power company and implements DR by integrated control of a plurality of energy resources is called an aggregator.

When the aggregator performs DR, the aggregator is required to control the energy resource so as to achieve the command value commanded by the electric power company. Therefore, when the aggregator performs integrated control of a plurality of energy resources so as to achieve a command value, a method of formulating a dispatch plan for energy resources at least immediately before starting integrated control is adopted.

A dispatch plan is a plan for all energy resources, such as whether to start or stop an energy resource and how to control the energy resource. is. Generally, an aggregator makes a contract with an electric power company such that if the command value cannot be achieved, the aggregator will suffer a penalty fee or other disadvantages. Therefore, when an aggregator formulates a dispatch plan, it is desirable to formulate a plan that can achieve the command value as much as possible in order to avoid penalties such as penalties.

In the present invention, a decrease in power consumption (power reduction) is regarded as power generation and represented by a positive value, while an increase in power consumption is represented by a negative value. In other words, the power generation amount in the present invention means the amount of change in power consumption (a positive value indicates a reduction amount, and a negative value indicates an increase amount). Similarly, the command value means the amount of change in power consumption commanded by the electric power company (a positive value indicates a reduction amount, and a negative value indicates an increase amount).

As a conventional technique, Patent Document 1 discloses a method of creating a demand response plan. The method disclosed in Patent Document 1 is a type of dispatch plan creation method, and is a penalty charge imposed based on the degree of divergence between the demand power reduction target and the demand power reduction forecast amount for each combination of consumers. is a method of minimizing the expected value of The degree of divergence between the command value and the predicted amount based on the past actual power generation amount is calculated, and as mentioned above, it is desirable to create the dispatch plan created by the aggregator so that the command value can be achieved as much as possible, so here We are dealing with the optimization problem of minimizing the expected value of the penalty charge that is expected to occur due to deviation from this command value.

However, the method disclosed in Patent Document 1 calculates the degree of divergence when a combination of energy resources (that is, a portfolio) is targeted, and considers the degree of divergence for a single energy resource. not something to do. The method disclosed in Patent Literature 1 is the same as the concept of portfolio theory regarding financial assets (Non-Patent Literature 1, Non-Patent Literature 2), which is generally known. Due to the effect of the combination of energy resources, the degree of divergence when targeting the energy resource portfolio is evaluated lower than the degree of divergence when targeting the individual energy resources that make up the combination. there is

As described above, the method disclosed in Patent Document 1 evaluates the variation in the difference between the past actual power generation amount and the planned power generation amount of each individual energy resource, that is, the rate of compliance with the past dispatch plan of each energy resource. not The rate of compliance with past dispatch plans represents the degree of trust in the degree to which consumers who own energy resources will comply with the planned power generation amount determined for individual energy resources by the aggregator. It is. A low compliance rate, that is, a low degree of trust, means that the actual power generation amount implemented by the consumers who own the energy resources does not match the planned power generation amount instructed by the aggregator to the consumers who own the energy resources. This means that the risk of not realizing the amount of power generated increases.

The method disclosed in Patent Literature 1 does not evaluate the adherence rate of individual energy resources to the past dispatch plan, so there is a possibility that high-risk energy resources will be included in the dispatch plan. As a result, the actual power generation amount cannot be realized as planned power generation amount. In other words, it means that it becomes difficult to achieve the command value from the electric power company. If the command value cannot be achieved and there is a discrepancy between the command value and the actual power generation amount, the aggregator will face penalties, suspension of transactions with the electric power company, damage to the brand image, and loss of credibility. There is a problem that damage occurs.

Japanese Patent No. 6837761

Harry Markowitz, “Portfolio Selection,” The Journal of Finance, Vol.7, No.1, pp.77-91, 1952 Robert C. Merton, "An Analytic Derivation of the Efficient Portfolio Frontier", The Journal of Financial and Quantitative Analysis, Vol.7, No.4, pp.1851-1872, 1972

The present invention has been made to solve the above problems, and implements a dispatch plan that achieves the command value and does not trigger the demand response of an energy resource that has a low compliance rate with respect to past dispatch plans. It is an object of the present invention to provide a dispatch plan creation apparatus and method that can be created.

The dispatch plan creation device of the present invention uses the amount of change in the power consumption of the energy resource as the power generation amount, and calculates an indicator of the compliance rate with respect to the past dispatch plan of the energy resource based on the difference between the past actual power generation amount and the planned power generation amount. and an index calculation unit configured to calculate and set at least a constraint expression that matches the total of the command value from the electric power company and the planned power generation amount, and the index for each energy resource indicates the activation state of each energy resource. an optimization problem formulation unit configured to formulate a dispatch planning optimization problem by setting an objective function of multiplying state variables and summing over all energy resources; and a solution finding unit configured to find the state value, which is the value of the state variable for each energy resource, and the planned power generation amount at which the objective function value is minimized, as a solution to the optimization problem of the dispatch plan. It is characterized.

Further, in one configuration example of the dispatch plan creating apparatus of the present invention, the upper and lower limits of the planned power generation amount for each energy resource in the dispatch plan to be created are determined by the operational constraints of the energy resources and the upper and lower limits of the power generation capacity of the energy resources. and a planned power generation upper and lower limit value setting unit configured to set the upper and lower limit values of the power generation capacity of the optimization problem formulation unit based on the command value, the upper and lower limit values of the power generation capacity of the energy resource, and the planned power generation It is characterized by setting a constraint equation for an optimization problem of the dispatch plan based on the upper and lower limit values of the planned power generation amount set by the amount upper and lower limit setting unit.
Further, in one configuration example of the dispatch plan creation apparatus of the present invention, the index calculation unit may be configured such that the index calculation unit is configured for each energy resource, which represents variation in the distribution of the difference between the actual power generation amount and the planned power generation amount when the energy resource was activated in the past. The statistic is used as an indicator of compliance with past dispatch plans of energy resources.

Further, in one configuration example of the dispatch plan creation device of the present invention, the index calculation unit calculates the distribution of the difference between the actual power generation amount and the planned power generation amount when a demand response command was issued to the energy resource in the past. A dispersion is calculated for each energy resource, and a value obtained by multiplying the planned power generation amount for each energy resource in the dispatch plan to be created by the dispersion is used as an indicator of the rate of compliance with the past dispatch plan of the energy resource. is.
Further, in one configuration example of the dispatch plan creation device of the present invention, the index calculation unit calculates the absolute value of the difference between the actual power generation amount and the planned power generation amount when a demand response command was issued to the energy resource in the past. is calculated for each energy resource, the maximum value of the absolute values of the difference is obtained for each energy resource, and the value obtained by multiplying the planned power generation amount for each energy resource in the dispatch plan to be created by the maximum value is It is characterized by being used as an indicator of the rate of compliance with the dispatch plan.

Further, in one configuration example of the dispatch plan creation device of the present invention, the index calculation unit calculates the absolute value of the difference between the actual power generation amount and the planned power generation amount when a demand response command was issued to the energy resource in the past. is calculated for each time interval and each energy resource, and the first number of times the absolute value of the difference exceeds a predetermined percentage of the planned power generation amount in the time interval for which the absolute value is calculated is calculated for each energy resource. Then, the result obtained by dividing the first number of times by the second number of times the demand response command is issued to the energy resource is calculated for each energy resource, and the planned power generation amount for each energy resource in the dispatch plan to be created is calculated as above. A value obtained by multiplying the result of the division is used as an index of compliance with the past dispatch plan of energy resources.

Further, one configuration example of the dispatch plan creating apparatus of the present invention is an environmental data configured to acquire past environmental data of energy resources and the values of the environmental data in the planning section where the dispatch plan to be created is implemented. The index calculation unit further includes an acquisition unit, and the index calculation unit provides data of a difference between an actual power generation amount and a planned power generation amount when a demand response command was issued to an energy resource in the past, and a calculation target of the data of the difference. The model parameter values of the relational expression are calculated by substituting the learning data into the relational expression of the difference data and the environmental data, and the model of the relational expression is added to the relational expression. The estimated value is calculated by substituting the parameter value and the value of the environmental data, and the value obtained by multiplying the planned power generation amount for each energy resource of the dispatch plan to be created by the estimated value is obtained from the past dispatch plan of the energy resource It is characterized by being used as an indicator of compliance rate.
Further, in one configuration example of the dispatch plan creation apparatus of the present invention, the index calculation unit is characterized in that the planned power generation amount used for the multiplication for calculating the index is an absolute value.

Further, in the dispatch plan creation method of the present invention, the amount of change in the power consumption of the energy resource is used as the power generation amount, and the rate of compliance with the past dispatch plan of the energy resource is calculated based on the difference between the past actual power generation amount and the planned power generation amount. A first step of calculating an index and setting at least a constraint expression for matching a command value from an electric power company and a total planned power generation amount, and a state variable indicating the activation state of each energy resource in the index for each energy resource. a second step of formulating a dispatch planning optimization problem by setting an objective function that is multiplied by and summed over all energy resources; and a third step of determining the state value, which is the value of the state variable for each energy resource, and the planned power generation amount as a solution to the optimization problem of the dispatch plan.

In addition, in one configuration example of the dispatch plan creation method of the present invention, the upper and lower limit values of the planned power generation amount for each energy resource in the dispatch plan to be created are set to the operational constraints of the energy resource and the upper and lower limit values of the power generation capacity of the energy resource. wherein the second step comprises the command value, the upper and lower limit values of the power generation capacity of the energy resource, and the planned power generation amount set by the fourth step. setting constraints for the dispatch planning optimization problem based on the lower bound.
Further, in one configuration example of the dispatch plan creation method of the present invention, the first step includes: as an indicator of compliance with past dispatch plans of energy resources.

Further, in one configuration example of the dispatch plan creation method of the present invention, the first step includes the distribution of the difference between the actual power generation amount and the planned power generation amount when a demand response command was issued to the energy resource in the past. calculating the variance of each energy resource, and using the value obtained by multiplying the planned power generation amount for each energy resource of the dispatch plan to be created by the variance as an indicator of the rate of compliance with the past dispatch plan of the energy resource. It is characterized.
Further, in one configuration example of the dispatch plan creation method of the present invention, the first step is an absolute value is calculated for each energy resource, the maximum value of the absolute values of the difference is obtained for each energy resource, and the value obtained by multiplying the planned power generation amount for each energy resource in the dispatch plan to be created by the maximum value is The method is characterized by including the step of indexing compliance with past dispatch plans.

Further, in one configuration example of the dispatch plan creation method of the present invention, the first step is an absolute A value is calculated for each time interval and each energy resource, and a first number of times the absolute value of the difference exceeds a predetermined percentage of the planned power generation amount in the time interval for which the absolute value is calculated is calculated for each energy resource. Then, the result obtained by dividing the first number of times by the second number of times the demand response command is issued to the energy resource is calculated for each energy resource, and is used as the planned power generation amount for each energy resource in the dispatch plan to be created. The method is characterized by including the step of using the value obtained by multiplying the result of the division as an indicator of the rate of compliance with the past dispatch plan of energy resources.

In addition, one configuration example of the dispatch plan creation method of the present invention further includes a fifth step of acquiring past environmental data of energy resources and values of the environmental data in the planning section for implementing the dispatch plan to be created. , the first step includes data on the difference between the actual power generation amount and the planned power generation amount when a demand response command was issued to the energy resource in the past, and the environmental data for which the difference data was calculated. is used as learning data, the learning data is substituted into the relational expression between the difference data and the environmental data to calculate the model parameter value of the relational expression, and the model parameter value of the relational expression and the The estimated value is calculated by substituting the values of the environmental data, and the value obtained by multiplying the planned power generation amount for each energy resource in the dispatch plan to be created by the estimated value is used as an indicator of the rate of compliance with the past dispatch plan of the energy resource. The method is characterized by including the step of
In one configuration example of the dispatch plan creation method of the present invention, the first step is characterized in that the planned power generation amount used for the multiplication for the index calculation is an absolute value.

According to the present invention, by providing an index calculation unit, an optimization problem formulation unit, and a solution-finding unit, it is possible to realize the achievement of the command value from the electric power company, and at the same time, an energy resource with a low compliance rate with respect to the past dispatch plan. It is possible to create a dispatch plan such that the invocation of the demand response does not occur. In addition, in the present invention, even if an energy resource with a low compliance rate must be activated, it is possible to create a dispatch plan in which the amount of power generated is as close to zero as possible.

FIG. 1 is a block diagram showing the configuration of a dispatch plan creation device according to the first embodiment of the present invention. FIG. 2 is a block diagram showing the configuration of the dispatch plan creation unit according to the first embodiment of the present invention. FIG. 3 is a flow chart for explaining the operation of the dispatch plan creation unit according to the first embodiment of the present invention. FIG. 4 is a diagram showing an example of past planned power generation data and actual power generation data of an energy resource. FIG. 5 is a flow chart for explaining the operation of the planned power generation upper and lower limit value setting unit according to the first embodiment of the present invention. FIG. 6 is a diagram for explaining the operation of the planned power generation upper and lower limit value setting unit according to the first embodiment of the present invention. FIG. 7 is a diagram showing an example of data used to formulate the dispatch planning optimization problem according to the first embodiment of the present invention. FIG. 8 is a block diagram showing the configuration of a dispatch plan creation device according to the fifth embodiment of the present invention. FIG. 9 is a block diagram showing the configuration of the dispatch plan creating unit according to the fifth embodiment of the present invention. FIG. 10 is a flow chart for explaining the operation of the index calculator according to the fifth embodiment of the present invention. FIG. 11 is a diagram showing an example of past actual power generation data, planned power generation data, temperature data, and solar radiation data of energy resources. FIG. 12 is a block diagram showing a configuration example of a computer that implements the dispatch plan creating apparatus according to the first to fifth embodiments of the present invention.

[Principle of Invention]
As mentioned above, a dispatch plan is a plan for all energy resources, such as whether or not to activate energy resources in a certain time interval, and if so, what level of activation intensity to use. It is an operation plan for energy resources. The dispatch planning problem is formulated as a planning problem that determines whether or not to activate demand response for individual energy resources and the planned power generation amount in the event of activation.

The amount of power generated by each energy resource is not necessarily the same each time, and it can be assumed that there will be an error in each planned amount. Considering the influence of this error, it is desirable to minimize the divergence of the power generation amount from the command value.

When creating a planning problem to achieve the command value from an electric power company, the inventor uses the energy resource By formulating it as an indicator of the compliance rate with respect to past dispatch plans and incorporating it into the planning problem, it is possible to formulate a dispatch plan that prevents the activation of energy resources with low compliance rates with past dispatch plans. bottom.

If the statistic representing the dispersion of the distribution followed by the difference between the actual power generation amount and the planned power generation amount of the energy resource is large, it can be considered that the compliance rate with respect to the planned power generation amount is low. Based on the data on the difference between the actual amount of power generation and the planned amount of power generation when each energy resource was activated in the past, statistics representing the variation are used as indicators of the compliance rate with respect to the dispatch plan. This makes it possible to express the compliance rate of each energy resource as a numerical value.

Since energy resources have certain physical restrictions and operational restrictions, it is necessary to create an operation plan draft so as to satisfy conditions set in advance as related information for each energy resource. Among these, the condition that the command value and the planned power generation amount match is particularly important in order to satisfy the command value from the electric power company. These conditions to be considered in planning are formulated as constraint equations and incorporated into the planning problem.

Next, under the constraint that the command value from the electric power company and the planned power generation amount match, we formulate it as an objective function (for example, a simple summation function) that uses statistics that express the variation in the difference of individual energy resources in parallel. , to find a dispatch plan that determines the planned power generation of the energy resource group that minimizes this. The dispatch plan obtained in this way can achieve the command value due to the constraint that the command value and the planned power generation amount match, and by obtaining the plan that minimizes the variation, the activation of energy resources with a low compliance rate. This is a dispatch plan that avoids

In the above explanation, the objective function is explained as a planning problem that incorporates the statistic representing the variation in the difference between the past actual power generation amount and the planned power generation amount. In terms of the principle of the invention, it is the same as a planning problem that incorporates the statistic representing the variability into the constraint by using a constraint that excludes energy resources whose statistic representing the variability is greater than or equal to a certain value. ing.

In the above description, the principle of the present invention has been described with a mathematical programming type programming problem in mind, but the present invention is not limited to this. It is a technical idea that includes implementation with various simulation technologies such as artificial intelligence type planning problem (constraint satisfaction problem, CSP).

In addition, the present invention can formulate a dispatch plan that makes the power generation amount of the energy resource as close to 0 as possible, even when there is no choice but to activate an energy resource with a low compliance rate with respect to the past dispatch plan. be. Further, the present invention can be used both when instructing each energy resource to reduce power consumption (“lower” DR) and when instructing each energy resource to increase power consumption (“increase” DR). can be applied as well.

[First embodiment]
BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings. First, the objective function of this embodiment is shown below.

R is a set of energy resources r, ξ _r is a state value (0=not activated, 1=activated) indicating the activated state of the demand response command for the energy resource r (hereinafter referred to as the activated state of the energy resource r), p _r is the planned power generation amount (non-negative value) of energy resource r, which is the solution of the dispatch plan to be formulated, T' is a set of time intervals t corresponding to past data, V[x] is the sample variance of x, g _{r, t} is the actual power generation amount of the energy resource r in the past time interval t, and g^ _r,t is the planned power generation amount of the energy resource r in the past time interval t.

Formula (1) is a sample variance value normalized by the planned power generation g _{^ r,t} for the difference between the actual power generation g _r,t accumulated as past data and the planned power generation g ^ _r,t Using ν(r), the measure of adherence to the past dispatch plan of energy resource r, ν(r)·p _r , is summed over all energy resources. The planning problem in this embodiment is formulated as a problem of determining the activation state ξ _r of energy resource r and the planned power generation amount _pr of energy resource r so that the objective function shown in equation (1) is minimized. ing.

The dispatch plan creating apparatus of the present invention is configured to create an individual problem for each future plan section in which the dispatch plan is to be implemented, and to construct and solve the objective function for each plan section.

Next, the constraint equations for the optimization problem of this embodiment are shown below.

g ^ is the command value (total power generation) from the electric power company, p _r ^min is the lower limit of the power generation capacity of energy resource r (predetermined constant based on equipment constraints), and p _r ^max is the power generation of energy resource r. The upper limit of the capacity (constant determined in advance from equipment constraints), the underscore p _r is the lower limit of the planned power generation amount of energy resource r (constant determined from operational constraints), the bar p _r is the plan for energy resource r This is the upper limit of power generation (a constant determined from operational constraints).

Equation (3) indicates a constraint that the command value g ^ commanded by the electric power company and the total sum Σp _r of the planned power generation amount p _r for each energy resource r planned by the aggregator must match. .

Equation (4) expresses the constraint that the planned power generation p _r must be 0 when the energy resource r is not activated, and must fall within the upper and lower limits of the power generation capacity of the energy resource r when activated. The upper limit value p _r ^max and the lower limit value p _r ^min are upper and lower limit values of the power generation capacity that can be exhibited when the energy resource r is activated, and are set in advance based on equipment capacity and the like. For example, in the case of an energy resource r capable of generating 50 kW to 100 kW when activated, the upper limit p _r ^max =100 kW and the lower limit p _r ^min =50 kW are set.

Equation (5) expresses the constraint that the planned power generation p _r must fall within the range of the upper and lower limits of the planned power generation of the energy resource r. The planned power generation amount _pr is limited to the range between the upper limit value bar _pr and the lower limit value underscore _pr regardless of whether or not the energy resource r needs to be activated.

For example, if the energy resource r cannot be activated due to maintenance, etc., the upper limit bar p _r and the lower limit underscore p _r are both set to 0 kW. Further, if the activation of the energy resource r is not specified, if the energy resource r has a power generating capacity of up to 100 kW when activated, the upper limit bar p _r =100 kW and the lower limit underscore p _r =0 kW. and set.

Equation (6) expresses the constraint that the activated state value ξ _r of energy resource r must be either 1 (activated) or 0 (not activated).

Next, the configuration and operation of the dispatch plan creating device of this embodiment will be described. FIG. 1 is a block diagram showing the configuration of the dispatch plan creation device. The dispatch plan creation device includes an energy resource characteristic information storage unit 1 that stores characteristic information of the energy resource r of the consumer, and an energy resource dispatch unit that stores history information of the past planned power generation amount g^ _r,t of the energy resource r. A plan history storage unit 2, an energy resource operation history storage unit 3 that stores past operation history information of an energy resource r, a dispatch plan creation unit 4 that creates a dispatch plan, and an energy resource r to a dispatch plan creation device. It is provided with a data input unit 5 for data input and a result output unit 6 for outputting information on the created dispatch plan.

The energy resource characteristic information storage unit 1 stores the characteristic information of the energy resource r input by the data input unit 5 by the person in charge of the aggregator or the person in charge of the consumer who wants to formulate a dispatch plan, for example. The characteristic information includes the name or identification information of the energy resource r, information on the power generation capacity of the energy resource r (p _r ^min , p _r ^max ), and information on the operation schedule of the energy resource r. Note that the characteristic information may be stored for each time.

The energy resource dispatch plan history storage unit 2 stores history information of the past planned power generation amount _ĝr,t of the energy resource r. The planned power generation amount ĝr _,t is stored in association with the name or identification information of the energy resource r and time information. Information on the planned power generation amount ĝr, _t can be obtained from the energy resource control system 7 that controls the energy resource r of the consumer. Also, the dispatch plan creation device may store the planned power generation amount p _r of a dispatch plan created in the past for a certain planning section as the planned power generation amount ĝr _,t for the planning section.

The energy resource operation history storage unit 3 stores past operation history information of the energy resource r. The operation history information includes the name or identification information of the energy resource r, the actual power generation amount g _r,t of the energy resource r at each time, and the operation information (activation state, abnormal state, etc.) of the energy resource r at each time. be.

FIG. 2 is a block diagram showing the configuration of the dispatch plan creating unit 4, and FIG. The dispatch plan creation unit 4 calculates a statistic for each energy resource r that represents the variation in the distribution of the difference between the past actual power generation amount g _r,t and the planned power generation amount g ^ _r,t as past dispatches of the energy resource r. An index calculation unit 40 that calculates an index of compliance rate with respect to the plan, and upper and lower limits of the planned power generation amount p _r for each energy resource r of the dispatch plan to be created are combined with the operational constraints of the energy resource r and the power generation of the energy resource r. A planned power generation upper and lower limit value setting unit 41 that sets based on the upper and lower limits of the capacity, and a constraint expression for the optimization problem of the dispatch plan based on the command value g ^ from the electric power company, and the energy resource r an optimization problem formulation unit 42 that formulates the optimization problem of the dispatch plan by setting an objective function of summing the values obtained by multiplying each index by the state value ξ _r of each energy resource for all energy resources, and , a solution section 43 that obtains the state value ξ _r for each energy resource r and the planned power generation amount _pr that minimizes the objective function under the condition that the constraint expression is set as the solution of the optimization problem of the dispatch plan Configured.

The index calculation unit 40 of the dispatch plan creation unit 4 calculates an index of compliance with past dispatch plans for each energy resource r (step S100 in FIG. 3). Specifically, the index calculation unit 40 stores the data of the past planned power generation amount g^ _r,t of the energy resource r stored in the energy resource dispatch plan history storage unit 2 and the energy resource operation history storage unit 3. Acquire the data of the past actual power generation amount g _r,t of the stored energy resource r.

The index calculation unit 40 calculates the difference between the actual power generation amount g _r,t and the planned power generation amount g ^ _r,t in the same time interval t when the energy resource r was activated in the past, as shown in Equation (2). is normalized by the planned power generation g^ _r,t in time interval t (g _r,t - g^ _r,t )/sample variance ν(r) of g^ _r,t for each energy resource r calculate. Then, the index calculation unit 40 multiplies the sample variance ν(r) by the planned power generation amount p _r of the dispatch plan to be formulated this time as an index of the compliance rate of the energy resource r with respect to the past dispatch plan. The index calculation unit 40 may perform the above processing for each energy resource r.

FIG. 4 shows an example of the data of the past planned power generation amount g^ _r,t and the data of the actual power generation amount g _r,t of the energy resource A. In FIG. Based on the data in Fig. 4, calculate the sample variance ν(r) of the value obtained by normalizing the difference between the actual power generation g _r,t and the planned power generation g ^ _r,t by the planned power generation g ^ _r,t Then, it becomes 0.0025.

Next, the planned power generation upper/lower limit setting unit 41 of the dispatch plan creation unit 4 sets the upper limit bar _pr and the lower limit underscore _pr of the planned power generation p _r for each energy resource r (Fig. 3 step S101). Specifically, the planned power generation upper and lower limit value setting unit 41 sets the characteristic information of the energy resource r stored in the energy resource characteristic information storage unit 1 and the energy resource stored in the energy resource operation history storage unit 3 R's past operation history information is obtained. Then, the planned power generation amount upper/lower limit value setting unit 41 executes the processing described with reference to FIG. 5 based on the acquired information.

The energy resource r has operational restrictions, such as being unable to be activated due to maintenance or failure, or being activated on a set date and time. Constraints on the operation of the energy resource r in the planning section where the dispatch plan formulated this time is implemented can be obtained from the operation schedule of the energy resource r included in the characteristic information.

When it is found from the acquired characteristic information that the energy resource r cannot be activated in the planned section (YES in step S200 in FIG. 5), the planned power generation amount upper/lower limit setting unit 41 sets the planned power generation amount p _r of the energy resource r. Both the upper limit bar p _r and the lower limit underscore p _r are set to 0 kW (step S201 in FIG. 5).

Next, the planned power generation amount upper/lower limit value setting unit 41 sets the energy resource r that must be continuously activated for a predetermined time period (for example, three hours) after activation is started in the planned section. If the interval between the activation start time (the time when the non-activated state changes to the activated state) and the start time of the planned section is less than the predetermined time, it is determined that the activation must be performed (YES in step S202 in FIG. 5).

Then, the planned power generation amount upper/lower limit value setting unit 41 sets the upper limit value _pr ^max of the power generation capacity of the energy resource r determined to be activated _{as the upper limit value bar pr of} the planned power generation amount pr. The lower limit p _r ^min of capacity is set as the lower limit underscore p _r of the planned power generation amount p _r (step S203 in FIG. 5). As described above, information on the upper limit value p _r ^max and the lower limit value p _r ^min of the power generation capacity of the energy resource r is included in the characteristic information.

In addition, when the energy resource r does not correspond to either of steps S200 and S202, the planned power generation amount upper/lower limit setting unit 41 determines that activation or non-activation is possible (NO in step S202 in FIG. 5). The planned power generation amount upper/lower limit value setting unit 41 sets the upper limit value p _r ^max of the power generation capacity of the energy resource r determined to be activatable or non-activatable as the upper limit value bar _pr of the planned power generation _amount pr. The lower limit underscore p _r of the quantity p _r is set to 0 kW (step S204 in FIG. 5).

The planned power generation upper and lower limit value setting unit 41 may perform the processing of FIG. 5 for each energy resource r. FIG. 6 collectively shows setting examples of the upper limit value bar _pr and the lower limit value underscore _pr of the planned power generation amount _pr according to the process of FIG.

Next, the optimization problem formulation unit 42 of the dispatch plan creation unit 4 formulates the optimization problem of the dispatch plan (step S102 in FIG. 3). Specifically, the optimization problem formulation unit 42 calculates the command value (total power generation amount) g ^ from the electric power company and the upper limit of the power generation capacity of the energy resource r stored in the energy resource characteristic information storage unit 1 The value _pr ^max , the lower limit _pr ^min , the upper limit bar pr _and the lower limit underscore _pr of the planned power generation amount _pr set by the planned power generation upper and lower limit value setting unit 41, and the index calculation unit 40 Obtain the calculated index ν(r)· _pr .

Then, the optimization problem formulation unit 42 sets the constraint formulas of formulas (3) to (6) for all the energy resources r of the consumers subject to the dispatch plan, and furthermore, the compliance calculated in step S100. We formulate the _dispatch planning _optimization problem by setting the objective function of Eq. become

An example of formulation is given below. Here, it is assumed that there are three energy resources A, B, and C as energy resources r of the consumer. Also, the command value g^ from the electric power company is assumed to be 200 kW. An example of data regarding energy resources A, B, and C is shown in FIG.

Let the state values of the energy resources A, B, and C be ξ _A , ξ _B , and ξ _C , and the planned power generation amounts of the energy resources A, B, and C be p _A , p _B , and p _C . )become that way.
0.0025・_ξA・_pA +0.01・_ξB・_pB +0.0009・_ξC・_pC
... (7)

A constraint expression corresponding to expression (3) is as shown in expression (8).
_pA + _pB + _pC =200 (8)

Constraint equations corresponding to equation (4) are equations (9) to (11).
_ξA・100≦ _pA ≦ _ξA・100 (9)
_ξB・50≦ _pB ≦ _ξB・100 (10)
_ξC・80≦ _pC ≦ _ξC・100 (11)

Constraint equations corresponding to equation (5) are equations (12) to (14).
100≦p _A ≦100 (12)
0≦p _B ≦100 (13)
0≦p _C ≦100 (14)

A constraint expression corresponding to expression (6) is as shown in expression (15).
ξ _A , ξ _B , ξ _C ∈{0, 1} (15)

Next, the solving unit 43 of the dispatch plan creation unit 4, under the condition that the constraint formulas of formulas (8) to (15) are set, minimizes the objective function of formula (7) for each energy resource r state value ξ _r and the planned power generation amount p _r are obtained as the solution of the optimization problem (step S103 in FIG. 3). As a method for solving the optimization problem, there are known solutions in mathematical programming (for example, branch and bound method) and meta-heuristic methods (for example, genetic algorithm).

Among all possible combinations of state values ξ _r (ξ _A , ξ _B , ξ _C ) and planned power generation p _r (p _A , p _B , p _C ), equations (8) to (15 ), there are three feasible solutions (solution candidates), solution candidates 1 to solution candidates 3, which are combinations of the state value ξ _{r and the planned power generation amount p r that} satisfy all the constraint equations.

Solution candidate 1 is ξ _A =1, ξ _B =1, ξ _C =0, p _A =100, p _B =100, p _C =0, solution candidate 2 is ξ _A =1, ξ _B =0, ξ _C =1, p _A =100, p _B =0, p _C =100, solution candidate 3 is ξ _A =0, ξ _{B =} 1, ξ _C =1, p _A =0, p _B =100, p _C = 100. The objective function value of solution candidate 1 is 1.25, the objective function value of solution candidate 2 is 0.34, and the objective function value of solution candidate 3 is 1.09. Therefore, the solution candidate that minimizes the objective function is solution candidate 2, and solution candidate 2 is the optimum solution.

The result output unit 6 of the dispatch plan creation device outputs the dispatch plan information created by the dispatch plan creation unit 4 . The dispatch plan information includes the state value ξ _r for each energy resource r, the planned power generation amount _pr for each energy resource r, and the date and time information of the plan section. Output methods include, for example, display of the dispatch plan, transmission of the dispatch plan to the outside, and the like.

In this way, in this embodiment, it is possible to realize the achievement of the command value from the electric power company, and to create a dispatch plan that does not trigger the DR of energy resources with a low compliance rate with respect to past dispatch plans. . Moreover, in the present embodiment, even when an energy resource with a low compliance rate must be activated, it is possible to create a dispatch plan in which the amount of power generated is as close to zero as possible.

In this embodiment, an example of creating a dispatch plan for one future plan section is explained, but when creating a dispatch plan for a plurality of plan sections, the above process is performed for each plan section. You should do it like this.

[Second embodiment]
In the first embodiment, the planned power generation amount p _r is set to a non-negative value. In other words, only the lowered DR that reduces power consumption is made possible. On the other hand, in the second embodiment of the present invention, the formula (1 ), the following equation is used instead of the objective function.

When the energy resource r increases the power consumption and performs an increase DR, the planned power generation amount p _r in equation (16) becomes a negative value.
The index calculation unit 40 of the dispatch plan creation unit 4 of this embodiment adds the absolute value |p _{r |} The multiplied value is used as an index of compliance with the past dispatch plan of energy resource r (step S100 in FIG. 3).

As in the first embodiment, the optimization problem formulation unit 42 of the dispatch plan creation unit 4 of the present embodiment uses expressions (3) to (6) for all energy resources r of consumers targeted for dispatch planning. ) is set, and the value obtained by multiplying the compliance rate index ν(r)·|p _r | calculated in step S100 by the state value ξ _r is summed up for all energy resources r (16 ), the optimization problem of the dispatch plan is formulated (step S102 in FIG. 3).
Other configurations are the same as those of the first embodiment.

[Third embodiment]
In the first embodiment, a value obtained by multiplying the variance ν(r) regarding the difference between the actual power generation g _r,t and the planned power generation ĝ _r,t by the planned power generation p _r of the dispatch plan is calculated as the observance of the dispatch plan. In the second embodiment, the value obtained by multiplying the variance ν(r) by the absolute value |p _r | of the planned power generation amount p _r was used as the compliance rate index.
On the other hand, in the third embodiment of the present invention, the following equation is used instead of the objective function of the equation (1) described in the first embodiment.

The index calculation unit 40 of the dispatch plan creation unit 4 of the present embodiment calculates the actual power generation amount g _r,t and the planned power generation amount g^ _r, t in the same time interval t when the energy resource r was activated in the past. The absolute value of the difference AD _r,t = |g _r,t - _g ^ _r,t | is calculated for each time interval t and for each energy resource r. , max(AD _r,t ) is obtained for each energy resource r. Then, the index calculation unit 40 multiplies the maximum value max(AD _r,t ) by the planned power generation amount p _r of the dispatch plan to be formulated this time as an index of the rate of compliance with the past dispatch plan of the energy resource r. (step S100 in FIG. 3).

As in the first embodiment, the optimization problem formulation unit 42 of the dispatch plan creation unit 4 of the present embodiment uses expressions (3) to (6) for all energy resources r of consumers targeted for dispatch planning. ) is set, and the value obtained by multiplying the index max(AD _r,t )· _pr calculated in step S100 by the state value ξ _r is summed for all energy resources r. By setting the objective function, the optimization problem of the dispatch plan is formulated (step S102 in FIG. 3).

The solving unit 43 of the dispatch plan creating unit 4 of the present embodiment minimizes the objective function of the equation (17) under the condition that the constraint equations of the equations (3) to (6) are set, the energy resource r Each state value ξ _r and the planned power generation amount p _r are obtained as the solution of the optimization problem (step S103 in FIG. 3).

Other configurations are the same as those of the first embodiment. As in the second embodiment, the value obtained by multiplying the maximum value max (AD _{r ,t} ) by the absolute value |pr _| good too.

[Fourth embodiment]
A fourth embodiment of the present invention will now be described. In the fourth embodiment of the present invention, the following equation is used instead of the objective function of equation (1) explained in the first embodiment.

The index calculation unit 40 of the dispatch plan creation unit 4 of the present embodiment calculates the actual power generation amount g _r,t and the planned power generation amount g^ _r, t in the same time interval t when the energy resource r was activated in the past. Absolute difference value AD _r,t = |g _r,t - g^ _r,t | is calculated for each time interval t and for each energy resource r, and the absolute value of difference AD _{r, t Calculate} the number of times N r that the planned power generation g^ _r,t exceeds a predetermined percentage _{(for example, 10%) in the time interval t for which t is calculated, and calculate the number of times N r for} each energy resource r _Nr / _N1r is calculated for each energy resource _r as a result of dividing by the number of times N1r that is activated.

The number of times N1 _r is the number of times the state value ξ _r of the energy resource r becomes 1 (activation). Then, the index calculation unit 40 multiplies the division result N _r /N1 _r by the planned power generation amount p _r of the dispatch plan to be formulated this time as an index of the compliance rate of the energy resource r with respect to the past dispatch plan. (Step S100 in FIG. 3).

As in the first embodiment, the optimization problem formulation unit 42 of the dispatch plan creation unit 4 of the present embodiment uses expressions (3) to (6) for all energy resources r of consumers targeted for dispatch planning. ), and sum the values obtained by multiplying the index N _r /N1 _r ·p _r calculated in step S100 by the state value ξ _r for all energy resources r. By setting , the optimization problem of the dispatch plan is formulated (step S102 in FIG. 3).

The solving unit 43 of the dispatch plan creating unit 4 of the present embodiment minimizes the objective function of the equation (18) under the condition that the constraint equations of the equations (3) to (6) are set, the energy resource r Each state value ξ _r and the planned power generation amount p _r are obtained as the solution of the optimization problem (step S103 in FIG. 3).

Other configurations are the same as those of the first embodiment. As in the second embodiment, a value obtained by multiplying N _r /N1 _r by the absolute value |pr _| of the planned power generation amount p _r of the dispatch plan to be formulated this time may be used as an index of the compliance rate.

[Fifth embodiment]
A fifth embodiment of the present invention will now be described. The fifth embodiment relates to calculation of the compliance rate index by artificial intelligence (AI) using a learning model constructed by learning data. FIG. 8 is a block diagram showing the configuration of a dispatch plan creation device according to the fifth embodiment of the present invention. The dispatch plan creation device of this embodiment includes an energy resource characteristic information storage unit 1, an energy resource dispatch plan history storage unit 2, an energy resource operation history storage unit 3, a dispatch plan creation unit 4a, and a data input unit 5. , a result output unit 6 , an external environment data acquisition unit 9 , an external environment data storage unit 10 , and an environment data acquisition unit 11 .

The environmental data in this embodiment includes temperature, humidity, weather, amount of solar radiation, amount of rainfall, etc., which are the external environment of the energy system, as well as characteristic information and operation information of the energy resource (equipment), which is the internal environment of the energy system. It includes In the following description, the external environment is used as an example.

The external environment data acquisition unit 9 acquires external environment data (measured values) and forecast values of the external environment data from an external environment data providing system (for example, a weather forecast system), and stores them in the external environment data storage unit 10 .

The environment data acquisition unit 11 acquires past external environment data and forecast values of the external environment data in the planned section where the dispatch plan is implemented from the external environment data storage unit 10 . When internal environmental data is used, the environmental data acquisition unit 11 acquires the characteristic information of the energy resource r from the energy resource characteristic information storage unit 1, and the operation history information of the energy resource r from the energy resource operation history storage unit 3. You should get it.

FIG. 9 is a block diagram showing the configuration of the dispatch plan creating unit 4a of this embodiment. The dispatch plan creating unit 4a includes an index calculating unit 40a, a planned power generation upper/lower limit value setting unit 41, an optimization problem formulation unit 42a, and a solution obtaining unit 43a.

Since the processing flow of the dispatch plan creating section 4a is the same as that of the first embodiment, the operation of the dispatch plan creating section 4a will be explained using the flowchart of FIG.
The index calculation unit 40a of the dispatch plan creation unit 4a calculates an index of compliance rate with respect to past dispatch plans for each energy resource r (step S100 in FIG. 3).

FIG. 10 is a flowchart for explaining the operation of the index calculator 40a. First, the index calculation unit 40a calculates the data of the past planned power generation amount _ĝr,t of the energy resource r stored in the energy resource dispatch plan history storage unit 2 and the data stored in the energy resource operation history storage unit 3. and the data of the past actual power generation amount g _r,t of the energy resource r that is present are acquired. Furthermore, the index calculation unit 40a acquires the past external environment data x _r,d and the forecast value bar x _r,d of the external environment data through the environment data acquisition unit 11 (step S300 in FIG. 10).

The external environment data x _r,d and the bar x _r,d indicate the value of the item d (d is an integer of 1 or more) of the external environment data of the energy resource r, and there are one or more types of external environment data. means that In this embodiment, the external environment data with d=1 is temperature data, and the external environment data with d=2 is solar radiation data.

Subsequently, the index calculation unit 40a calculates the _{difference Δp r = gr,} The data of _t -g^ _r,t and the external environment data xr _,d in the time interval t for which the difference Δp _r was calculated are used as learning data, and the learning data in a plurality of time intervals t are used as the difference Δp _r Substitute into the equation (19) showing the linear relationship with the external environmental data x _r,d , and calculate the linear constants (slope a _r,d and intercept b _r ) by the method of least squares (step S301 in FIG. 10) ).

As explained in the first example, R is the set of energy resources r. Next, the index calculation unit 40a calculates the calculated constants (slope a _r,d , intercept b _r ) and forecast value bar Let x _r,d be the linear relationship between the estimated value bar Δp _r of the difference between the actual power generation amount and the planned power generation amount in the planned section and the forecast value bar x _r,d of the external environment data (20) to calculate an estimated value bar Δp _r of the difference between the actual power generation amount and the planned power generation amount (step S302 in FIG. 10).

Then, the index calculation unit 40a multiplies the estimated value bar Δp _r by the planned power generation amount p _r of the dispatch plan to be formulated this time, as an index of the rate of compliance with the past dispatch plan of the energy resource r (see FIG. 10 step 303). The index calculation unit 40a may perform the above processing for each energy resource r.

An example of the operation of the index calculator 40a is shown below. FIG. 11 shows an example of past actual power generation g _r,t data, planned power generation g ^ _r,t data, temperature x _r,1 data, and solar radiation x _r,2 data of energy resource A. indicates When the slope a _r,d and the intercept b _r of equation (19) are calculated by the method of least squares based on the data in FIG. 11, a _r,1 =0.1, a _r,2 =0.01, b _r = 0 was obtained.
Substituting a _r,1 =0.1, a _r,2 =0.01, b _r =0 into equation (20) as constants yields the following equation.

The bar x _r,1 is the forecast value of the temperature in the planning section, and the bar x _r,2 is the forecast value of the amount of solar radiation in the planning section. A value obtained by multiplying the estimated value bar Δp _r obtained from Equation (21) by the planned power generation amount p _r is used as an indicator of the rate of compliance with the past dispatch plan of the energy resource r.

The operation of the planned power generation upper/lower limit setting unit 41 of the dispatch plan creating unit 4a (step S101 in FIG. 3) is the same as in the first embodiment.

As in the first embodiment, the optimization problem formulation unit 42a of the dispatch plan creation unit 4a calculates the constraint equations (3) to (6) for all the energy resources r of the consumers targeted for the dispatch plan. , and furthermore, by setting the objective function of formula (22) for summing the values obtained by multiplying the index bar Δp _r ·p _r calculated in step S303 by the state value ξ _r for all energy resources r, A dispatch plan optimization problem is formulated (step S102 in FIG. 3).

Next, the solving unit 43a of the dispatch plan creation unit 4a, under the condition that the constraint formulas of formulas (3) to (6) are set, minimizes the objective function of formula (22) for each energy resource r state value ξ _r and the planned power generation amount p _r are obtained as the solution of the optimization problem (step S103 in FIG. 3).

Other configurations are the same as those of the first embodiment. As in the second embodiment, a value obtained by multiplying _the index bar Δp _r · p _r by the absolute value |p _r | .

The dispatch plan creation device described in the first to fifth embodiments can be realized by a computer having a CPU (Central Processing Unit), a storage device and an interface, and a program controlling these hardware resources. A configuration example of this computer is shown in FIG.

The computer includes a CPU 200 , a storage device 201 and an interface device (I/F) 202 . The hardware of the data input unit 5, the hardware of the result output unit 6, the hardware of the energy resource control system 7, the external environment data acquisition unit 9, and the like are connected to the I/F 202 . A dispatch plan creation program for implementing the dispatch plan creation method of the present invention is stored in the storage device 201 . The CPU 200 executes the processes described in the first to fifth embodiments according to the programs stored in the storage device 201. FIG.

INDUSTRIAL APPLICABILITY The present invention can be applied to techniques for creating a dispatch plan for control of energy resources.

1 Energy resource characteristic information storage unit 2 Energy resource dispatch plan history storage unit 3 Energy resource operation history storage unit 4, 4a Dispatch plan creation unit 5 Data input unit 6 Result output unit 7 ... energy resource control system, 9 ... external environment data acquisition section, 10 ... external environment data storage section, 11 ... environment data acquisition section, 40, 40a ... index calculation section, 41 ... planned power generation upper and lower limit value setting section, 42, 42a... Optimization problem formulation unit, 43, 43a... Solving unit.

Claims (16)

An indicator calculation configured to calculate an indicator of compliance with the past dispatch plan of the energy resource based on the difference between the past actual power generation amount and the planned power generation amount, with the amount of change in the power consumption of the energy resource as the power generation amount. Department and
Set at least a constraint formula that matches the command value from the electric power company and the total planned power generation amount, multiply the indicator for each energy resource by a state variable that indicates the activation state of each energy resource, and total for all energy resources an optimization problem formulation unit configured to formulate a dispatch planning optimization problem by setting an objective function of
Under the constraint equation, the solution is configured to obtain the state value, which is the value of the state variable for each energy resource, and the planned power generation amount, which minimizes the objective function value, as a solution to the optimization problem of the dispatch plan. and a dispatch plan creation device. The dispatch planning device of claim 1,
Planned power generation amount configured to set upper and lower limits of planned power generation for each energy resource in a dispatch plan to be created based on operational constraints of energy resources and upper and lower limits of power generation capacity of energy resources A lower limit value setting unit is further provided,
The optimization problem formulation unit performs a dispatch plan based on the command value, the upper and lower limit values of the power generation capacity of the energy resource, and the upper and lower limit values of the planned power generation amount set by the upper and lower limit value setting unit of the planned power generation amount. A dispatch planning device characterized by setting a constraint expression for an optimization problem of . In the dispatch plan creation device according to claim 1 or 2,
The index calculation unit calculates a statistic for each energy resource that represents a variation in the distribution of the difference between the actual power generation amount and the planned power generation amount when the energy resource was activated in the past, and calculates the rate of compliance with the past dispatch plan of the energy resource. A dispatch plan creation device characterized in that it is used as an index. In the dispatch plan creation device according to claim 3,
The index calculation unit calculates, for each energy resource, the variance of the distribution of the difference between the actual power generation amount and the planned power generation amount when a demand response command was issued for the energy resource in the past, and creates an energy dispatch plan. A dispatch plan creation device, wherein a value obtained by multiplying the planned power generation amount for each resource by the variance is used as an index of compliance with past dispatch plans of energy resources. In the dispatch plan creation device according to claim 3,
The index calculation unit calculates, for each energy resource, an absolute value of a difference between an actual power generation amount and a planned power generation amount when a demand response command was issued for the energy resource in the past, and A maximum value is obtained for each energy resource, and a value obtained by multiplying the planned power generation amount for each energy resource in the dispatch plan to be created by the maximum value is used as an indicator of the rate of compliance with the past dispatch plan of the energy resource. Dispatch planner. In the dispatch plan creation device according to claim 1 or 2,
The index calculation unit calculates an absolute value of a difference between an actual power generation amount and a planned power generation amount when a demand response command has been issued for an energy resource in the past for each time interval and each energy resource, and calculates the absolute value of the difference. Calculate for each energy resource the first number of times the absolute value exceeds a predetermined percentage of the planned power generation amount in the time interval for which the absolute value is calculated, and provide a demand response to the energy resource for the first number of times. Calculate for each energy resource the result of dividing by the second number of times the command is invoked, and multiply the planned power generation amount for each energy resource of the dispatch plan to be created by the result of the division, the past dispatch of the energy resource A dispatch plan creation device characterized in that it is used as an indicator of a compliance rate with respect to a plan. In the dispatch plan creation device according to claim 1 or 2,
further comprising an environmental data acquisition unit configured to acquire past environmental data of the energy resource and values of the environmental data in the planning section where the dispatch plan to be created is implemented;
The index calculation unit stores data of a difference between an actual power generation amount and a planned power generation amount when a demand response command was issued to an energy resource in the past, and environmental data for which the data of the difference is calculated. As learning data, the model parameter values of the relational expression are calculated by substituting the learning data into the relational expression between the difference data and the environmental data, and the model parameter values of the relational expression and the environmental data are added to the relational expression. The estimated value is calculated by substituting the value of and, and the value obtained by multiplying the planned power generation amount for each energy resource in the dispatch plan to be created by the estimated value is used as an indicator of the rate of compliance with the past dispatch plan of the energy resource. A dispatch plan creation device characterized by: In the dispatch planning device according to any one of claims 4 to 7,
The dispatch plan creation device, wherein the index calculation unit uses an absolute value for the planned power generation amount used in the multiplication for calculating the index. A first step of calculating an indicator of compliance with the past dispatch plan of the energy resource based on the difference between the past actual power generation amount and the planned power generation amount, with the amount of change in the power consumption of the energy resource as the power generation amount;
Set at least a constraint formula that matches the command value from the electric power company and the total planned power generation amount, multiply the indicator for each energy resource by a state variable that indicates the activation state of each energy resource, and total for all energy resources a second step of formulating the dispatch planning optimization problem by setting an objective function of
a third step of determining the state value, which is the value of the state variable for each energy resource, and the planned power generation amount for which the objective function value is minimized under the constraint expression as a solution to the optimization problem of the dispatch plan; A method of creating a dispatch plan, comprising: In the dispatch plan creation method according to claim 9,
further comprising a fourth step of setting upper and lower limit values of the planned power generation amount for each energy resource in the dispatch plan to be created based on the operational constraints of the energy resource and the upper and lower limit values of the power generation capacity of the energy resource;
In the second step, constraints on an optimization problem of a dispatch plan based on the command value, the upper and lower limits of the power generation capacity of the energy resource, and the upper and lower limits of the planned power generation amount set in the fourth step A method of creating a dispatch plan, comprising the step of setting an expression. In the dispatch plan creation method according to claim 9 or 10,
In the first step, a statistic for each energy resource representing variation in the distribution of the difference between the actual power generation amount and the planned power generation amount when the energy resource was activated in the past is calculated as the adherence rate to the past dispatch plan of the energy resource. A method of creating a dispatch plan, comprising: The dispatch plan creation method of claim 11,
In the first step, the dispersion of the distribution of the difference between the actual power generation amount and the planned power generation amount when a demand response command was issued in the past for the energy resource is calculated for each energy resource, and a dispatch plan is created. A method of creating a dispatch plan, comprising the step of using a value obtained by multiplying the planned power generation amount for each energy resource by the variance as an index of compliance rate with respect to the past dispatch plan of the energy resource. The dispatch plan creation method of claim 11,
The first step calculates, for each energy resource, an absolute value of a difference between an actual power generation amount and a planned power generation amount when a demand response command has been issued for the energy resource in the past, and is obtained for each energy resource, and the value obtained by multiplying the planned power generation amount for each energy resource in the dispatch plan to be created by the maximum value is used as an indicator of the rate of compliance with the past dispatch plan of the energy resource. A dispatch plan creation method characterized by: In the dispatch plan creation method according to claim 9 or 10,
In the first step, an absolute value of a difference between an actual power generation amount and a planned power generation amount when a demand response command was issued in the past for an energy resource is calculated for each time interval and each energy resource, and the difference for each energy resource, the first number of times the absolute value of exceeds a predetermined percentage of the planned power generation amount in the time interval for which the absolute value is calculated, and the first number of times is demanded for the energy resource Calculate the result of dividing by the second number of times the response command is activated for each energy resource, and multiply the planned power generation amount for each energy resource in the dispatch plan to be created by the result of the division, A method of preparing a dispatch plan, comprising the step of using a compliance rate indicator for the dispatch plan. In the dispatch plan creation method according to claim 9 or 10,
further comprising a fifth step of obtaining past environmental data of the energy resource and values of the environmental data in the planning section for implementing the dispatch plan to be created;
In the first step, data on the difference between the actual power generation amount and the planned power generation amount when a demand response command was issued to the energy resource in the past, and environmental data for which the difference data was calculated. is used as learning data, the learning data is substituted into the relational expression between the difference data and the environmental data to calculate the model parameter value of the relational expression, and the model parameter value of the relational expression and the environment The estimated value is calculated by substituting the data value, and the value obtained by multiplying the planned power generation amount for each energy resource of the dispatch plan to be created by the estimated value is used as an indicator of the rate of compliance with the past dispatch plan of the energy resource. A method of creating a dispatch plan, comprising: In the dispatch plan creation method according to any one of claims 12 to 15,
In the first step, the planned power generation amount used for the multiplication for calculating the index is an absolute value.

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