JP6520517B2 - Supply and demand planning device, program - Google Patents

Description

  The present invention relates to a power supply and demand planning method.

  Electricity demand changes momentarily due to various factors such as seasons, time zones, days of the week, etc. However, if the balance between the demand and supply of electricity is lost, changes in the frequency and voltage of the electric power system, blackout etc. will occur and it is stable Power supply will be disrupted.

Therefore, it is important to control the power system to accurately forecast the power demand and maintain the balance between the demand and the supply.
As described above, in the operation of the electric power system, the operation cost (= generation cost of the generator + purchasing fee-selling fee) is minimized in consideration of various operation constraints with respect to the predicted power demand. Supply and demand plan is formulated and operated.

Further, in recent years, along with the spread of distributed power sources using renewable energy such as solar light and wind power, the storage battery is also spread, and it can not be ignored when considering a supply and demand plan.
Therefore, an optimization planning method taking into consideration the constraint conditions of the storage battery is considered. For example, in the invention of Patent Document 1, the operation cost (= generation cost of generator + purchase price-selling electricity in the power system including the storage battery) A proposal method of supply and demand plan is proposed which minimizes the fee.

  Generally, the monthly electricity bill (purchasing bill) purchased by the customer from the power company is the “basic charge” determined by the size of the contract power (Amps), and “the amount of electricity calculated by the amount of power used. It will be the sum of fees. The electricity rate contract between the electric power company and the customer contracts with a contract power that does not exceed the maximum demand of the customer throughout the year. In other words, it is important to reduce the maximum demand of customers throughout the year in order to lower the basic charge.

  As is well known, in the case where the consumer is a general household, the breaker falls when the maximum demand of the consumer temporarily exceeds the contract power even though it is temporary. On the other hand, in the case of a factory or the like, a penalty will be imposed if the maximum demand of the customer exceeds the contract power.

  As a battery introduction purpose for the electricity charge control of the above-mentioned customer, it is mentioned that the maximum demand is lowered by aiming at load leveling, and hence the contract power itself is lowered to make the “basic charge” a cheap contract.

Patent No. 5540698

  However, in the conventional method of Patent Document 1, although the “electricity charge” calculated by the daily electricity consumption is taken into account in the electricity charge, the reduction of the annual maximum demand of the customer is not considered. There is a possibility that the "basic charge" decided by the size of the contract power does not fall.

  Most of the power system has low load / low charge at night (low power unit price) and high load / high charge during daytime (high power unit price). There is a possibility that the contract power may be reduced by the output of a plan in which load leveling by storage batteries is performed. However, in the future, when the form of the load is diversified along with the spread of the distributed power source, it is conceivable that the method described in Patent Document 1 can not be expected to achieve load leveling.

  The subject of the present invention relates to an apparatus and the like for creating a supply and demand plan of power generation facilities and storage facilities in an electric power system including a power generation facility and a storage facility, and reduces contracted power by balancing system received power. It is possible to provide a supply and demand plan creation device, program and the like capable of reducing the overall cost by lowering the basic charge.

  The supply and demand plan creation device of the present invention is a device that generates an operation schedule of a generator and a storage battery in a predetermined future period with respect to an electric power system including a generator, a storage battery and a load facility, and has the following configuration.

Load power predicting means for predicting load power which is power consumed by the load facility in the predetermined period;
-Related to the power generation cost by the generator , the purchase cost of the system reception power , and the cost according to the maximum value of the system reception power and / or the difference between the maximum value and the minimum value in the predetermined period using one objective function, and various constraints on the battery and the generator, the based on the load power the load power predicted by the predicting means, and the generator to minimize said first objective function Operation schedule generation means for generating an operation schedule of a storage battery.

  According to the supply and demand plan creation device, program and the like of the present invention, it is related to an apparatus and the like for creating a supply and demand plan of power generation equipment and storage equipment in an electric power system provided with power generation equipment and storage equipment. By lowering the contract power and thus lowering the basic charge, it is possible to reduce the overall cost.

It is a system configuration figure of a power system plan creation device of this example. It is a figure which shows the specific example of electric power demand performance DB. It is a specific example of the weather record DB.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a system configuration diagram of a power system plan creation device 10 of this example.
Among the configurations of the illustrated power system plan creation apparatus 10, there is a configuration that may be substantially the same as the configurations of the patent document 1 and the prior application (Japanese Patent Laid-Open No. 2011-114945). For example, there is a configuration that may be substantially similar to the configuration of FIG. 2 of the prior application. From this, the configuration shown in FIG. 1 may be substantially the same as the configuration of the above-mentioned prior application or the patent document 1 etc., but will be described only briefly and may not be described in detail. Do.

  The power system plan creation device 10 has various DBs (databases) of a power demand record DB 11, a weather record DB 12, a generator characteristic DB 13, a storage battery characteristic DB 14, and an operation restriction DB 15. Further, the power system plan creation device 10 includes various processing function units of the power demand prediction unit 16, the objective function / constraint condition generation unit 17, and the optimization unit 18.

  The power system plan creation device 10 is a device that creates a supply and demand plan of power generation facilities and power storage facilities in a power system provided with power generation facilities (not shown), power storage facilities (not shown) and load facilities (not shown). The power system is provided, for example, in a facility (such as a factory) of any customer. The power generation facility (generator) is basically an internal combustion power generation facility (thermal power generation facility) or the like, but is not limited to this example.

  The customer meets the power demand from the load equipment by the power generation facility etc., but may purchase electricity from the outside. The purchase from outside is, for example, purchase of the system reception power by the electric power company. As described above, the customer contracts with the power company in advance with any contract power, and also pays a "basic charge" determined by the size of the contract power. In the present method, it is possible to reduce the overall cost by lowering the contract power and thereby reducing the basic charge by achieving equalization of the system reception power. Details will be described later.

  The power system plan creation device 10 is realized, for example, on a general-purpose computer device such as a personal computer or a server device. Therefore, although not shown in the drawings, the hardware configuration of a general personal computer or the like is provided. For example, a storage unit such as a CPU, a memory or a hard disk, a communication function unit, and the like are provided. A predetermined application program is stored in advance in the storage unit. When the CPU executes this application program, for example, processing functions of various functional units such as the power demand prediction unit 16, the objective function / constraint generation unit 17, and the optimization unit 18 are realized.

  Further, the communication function unit (not shown) can communicate with another computer via a network (not shown) to obtain power demand data and weather data (such as actual results and forecasts).

  The power system plan creation device 10 executes a process of the various functional units 16 to 18 using stored data of the various DBs (databases) 11 to 15, and finally, a generator (not shown) (not shown) Generate a power generation plan of the internal combustion power generation facility and a charge and discharge plan of a storage battery (not shown).

  As described above, although not illustrated, the power system plan creation device 10 of this example is, for example, the above-mentioned Patent Document 1, the prior application (Japanese Unexamined Patent Application Publication No. 2011-114945), the reference (Japanese Unexamined Patent Application Publication No. 2006-94649 etc.) Similarly to the above, regarding an electric power system having a generator (internal combustion power generation facility) and a storage battery, an operation schedule (a power generation plan and a charge and discharge plan) of the generator and the storage battery is generated. However, unlike the prior application etc., there is no need for a renewable energy utilization power generation facility (such as solar power generation) in the target power system, and although it is described as not being this example, it is not limited to this example.

  The power generation plan and the charge and discharge plan (collectively referred to as a power supply plan in some cases) are data for each predetermined unit time in a future predetermined time range (predetermined period). The unit time is, for example, in units of thirty minutes or one hour, and can be arbitrarily set by the user or the like. The predetermined time range (predetermined period) is, for example, one day (24 hours), one week, or the like, and the user can arbitrarily set this time range.

  Here, the power demand record DB 11 may be substantially the same as the load DB 16 of the prior application (Japanese Patent Laid-Open No. 2011-114945), and the weather record DB 12 may be substantially the same as the weather DB 17 of the prior application. The prediction unit 16 may be substantially the same as the load prediction unit 11 of the prior application. First, these will be briefly described below.

(1) Electricity demand record DB 11
The power system plan creation device 10 acquires the actual value of the power demand for each predetermined time unit and accumulates it in the power demand record DB 11. For example, regarding the load (power demand) of each customer (not shown) (not shown), for example, the power system plan creation device 10 does not show the actual values (measured values, etc.) from the not shown outside device / apparatus The information is acquired (every 30 minutes, every hour, etc.) every predetermined unit time through the like and stored in the power demand record DB 11.

  For example, periodically, from the power measuring device (not shown) installed in each load equipment (not shown), the measured value (power consumption by the load equipment) obtained by this power measuring device is acquired via the communication network (not shown) Then, it may be accumulated in the power demand record DB 11. At this time, the sum of the power consumption by all the load equipment may be calculated, and this may be stored in the power demand record DB 11 as the power demand record value. Note that "power demand" in this example may be considered to be synonymous with "load power" in the prior application.

  As the unit time, an arbitrary value such as 30 minutes or 60 minutes can be set by the user or the like. The power demand record DB 11 stores the actual value of the load (power demand) for each unit time in association with the date and the time zone.

FIG. 2 shows a specific example of the power demand record DB 11 when the unit time is 60 minutes.
The power demand record DB 11 includes, for example, data items such as a date 21, a time zone 22, and a load power record value 23 as illustrated. The load power result value 23 which is the obtained power demand result value is stored for each of the date 21 and the time zone 22. The time zone 22 corresponds to the above-mentioned unit time, and in the example shown in the figure, it is in the unit of 60 minutes (one hour unit).

(2) Meteorological results DB12
The power system plan creation device 10 acquires the actual value / forecast etc. of the weather data for each predetermined unit time and accumulates it in the meteorological result DB 12. For example, as in the above prior application, weather data may be acquired from a weather server (not shown) via a network (not shown), but the present invention is not limited to this example.

  Weather data is actual data / forecast data such as temperature and humidity. As the unit time, an arbitrary value such as 30 minutes or 60 minutes can be set by the user or the like. The weather record value for each unit time is stored in the weather record DB 12. That is, the weather result value is stored by tying the date and the time zone. An example of the weather result DB 12 when the unit time is 60 minutes (one hour unit) is shown in FIG.

The weather record DB 12 includes, for example, data items such as date 31, time zone 32, and temperature record value 33 shown in the figure. The past temperature data, which is an example of the acquired weather data, is stored as the temperature actual value 33 for each of the date 31 and the time zone 32. The time zone 32 corresponds to the above-mentioned predetermined unit time, and in the example shown in the figure, it is in the unit of 60 minutes (one hour unit).

  Basically, weather forecast data (not shown) (for example, weather forecast value of forecast target day (for example, forecast value of temperature)) is also stored in the weather record DB 12. The prediction target date is an example of the future predetermined period.

(3) Power demand forecasting unit 16
The power demand prediction unit 16 uses the power demand record stored in the power demand record DB 11, the meteorological record stored in the meteorological record DB 12, and the weather forecast value of the forecast target date, and uses the unit in the future predetermined period. Forecast hourly power demand. A future predetermined period (for example, a forecast target date) is, for example, the next day (24 hours), and the unit time is the same interval as the power demand record DB 11 and the weather record DB 12 (that is, one hour in this example).

  As a method of predicting the power demand, various methods can be used in accordance with the form of the demand. For example, there are various methods such as the same as the past actual value of the same day as the forecasted day, the same as the actual value of the previous day of the forecasted day, and the method of modeling the relationship between the power demand and the temperature by neural network. Methods can be used.

  The processing of the power demand prediction unit 16 is, for example, considered to have substantially the same function disclosed in the above-mentioned prior application (Japanese Patent Application Laid-Open No. 2011-114945), Japanese Patent Application Laid-Open No. 2014-82932 etc. It does not matter. For example, the processing of the power demand prediction unit 16 may be substantially similar to the processing of the load prediction unit 11 described in the prior application. Therefore, the details of the processing of the power demand prediction unit 16 will not be particularly described here.

  The objective function / constraint condition generation unit 17 uses the power demand forecast value obtained by the processing of the power demand prediction unit 16 and stored data of various databases such as the generator characteristic DB 13, the storage battery characteristic DB 14, and the operation constraint DB 15. Calculation of the objective function value and calculation of the constraint condition. This process itself and the stored data itself of each database (13, 14, 15) may be the same as those of the above-mentioned Patent Document 1 and the prior application, etc., and will not be described in detail. The objective function to be used is different from that in the related art (Patent Document 1, prior application, etc.). The objective function will be described later. First, the stored data of each of the databases (13, 14, 15) will be briefly described by giving a specific example.

(4) Generator characteristic DB 13
The generator characteristic DB 13 is a DB (database) that stores predetermined characteristic data of each generator, which is used when creating a power generation plan. As a characteristic of a generator, although the characteristic shown below is mentioned as a specific example, for example, it is not restricted to these examples.

・ Fuel cost characteristics ・ Startup cost characteristics ・ Output lower limit value ・ Output upper limit value ・ Output change rate lower limit ・ Output change rate upper limit ・ Minimum continuous stop time ・ Minimum continuous operation time

(5) Storage battery characteristic DB 14
Storage battery characteristic DB14 is DB (database) which stores the predetermined characteristic data of each storage battery used when preparing charge-and-discharge plan. As the characteristics of the storage battery, for example, the following characteristics may be mentioned as specific examples, but are not limited to these examples.

・ Charge loss ・ Charge power lower limit ・ Charge power upper limit ・ Discharge power lower limit ・ Discharge power upper limit ・ Charge power lower limit ・ Charge power upper limit

(6) Operation restriction DB 15
The operation constraint DB 15 is a DB (database) that stores various constraint conditions to be considered when creating a power generation plan and a charge and discharge plan. Although various constraints shown below are generally considered as the constraint conditions, the present invention is not limited to this example, and other constraints may be considered.

(A) Supply and demand balance constraints
However,
Dt: Power demand forecast value at time t
P _{i, t} : Generation output of generator i at time t
BD _{j, t} : Discharge power of storage battery j at time t
BC _{j, t} : charging power of storage battery j at time t
vd _{j, t} : Discharge mode flag of storage battery j at time t (0: charge mode, 1: discharge mode)
vc _{j, t} : charge mode flag of storage battery j at time t (0: discharge mode, 1: charge mode)
P _Bt : Received power at time t of grid reception

(B) Generator output upper and lower limits
However,
P _i ^min : Output lower limit value of generator i
P _i ^max : Maximum output value of generator i

(C) Generator output change rate upper and lower limit constraints
However,
ΔP _i ^downmax : Maximum downward change rate of generator _i ΔP _i ^upmax : Maximum upward change rate of generator i

(D) Generator minimum continuous stop restriction
However,
u _{i, t} : Start / stop variable of generator i at time t (0: stop, 1: operation)
mint _i : Minimum continuous stop time of generator i

(E) Generator minimum continuous operation restriction
However,
minr _i : Minimum continuous operating time of generator i

(F) Storage battery charge / discharge upper and lower limit constraints
However,
HG _{j, t} : charging power of storage battery j at time t
HG _j ^min : Charge power lower limit value of storage battery j
HG _j ^max : Charge power upper limit value of storage battery j
HP _{j, t} : Discharge power at time t of storage battery j
HP _j ^min : Discharge power lower limit value of storage battery j
HP _j ^max : Discharge power upper limit value of storage battery j

(G) Upper and lower limits on storage battery charge power
However,
LH _j ^min : Charged energy lower limit value of storage battery j
LH _j ^max : Upper limit of charge energy of storage battery j

(7) Objective function / constraint generation unit 17
The objective function / constraint condition generation unit 17 uses various data of various DBs (databases) of the power demand record DB 11, the weather record DB 12, the generator characteristic DB 13, the storage battery characteristic DB 14, and the operation constraint DB 15 to use for optimization calculation. Generate objective functions and constraints.

  The objective function may be used by selecting one of a plurality of objective functions set in advance, and one example is to select one of an objective function A and an objective function B described later. However, it is not limited to this example. A specific example of this selection process will be described later.

(8) Optimization unit 18
The optimization unit 18 generates a power generation plan and charges and discharges so that the objective function is minimized based on the constraint condition generated by the objective function / constraint condition generation unit 17 with respect to the power demand predicted by the power demand prediction unit 16. Create a plan. As the optimization method, various methods can be used depending on the form of the objective function and the constraints. For example, linear programming, quadratic programming, and various metaheuristic methods can be used.

  In any case, the processing itself of the objective function / constraint generation unit 17 and the optimization unit 18 may be an existing method, and will not be described in detail here. The processing method described in JP-A-2011-114945) may be used.

  For example, the generator operation plan and the storage battery such that the optimization unit 18 minimizes the objective function (total cost) while satisfying the constraint condition by the objective function and the constraint condition generated by the objective function / constraint condition generation unit 17 Find the optimal solution with the design variable of charge / discharge plan as the decision variable

  The optimization method by searching for the decision variable generally calculates the objective function value for the set decision variable, and based on the result, the decision variable is brought closer to the optimum value from the previous value, and so on. Adjust decision variables based on the rules of When the set decision variable does not satisfy the constraint condition, the decision variable is adjusted in the direction satisfying the constraint condition. Based on the adjusted decision variables, it is repeated to calculate the objective function value again and evaluate the result. By repeating this, the decision variable approaches the optimum value, and if the calculated objective function value satisfies the optimum condition, it is determined that the solution has converged to the optimum solution, and the processing is ended.

  Alternatively, for example, the optimization unit 18 arbitrarily determines a power generation schedule candidate, a charge / discharge schedule candidate, and the like so as to satisfy the various constraint conditions. For example, schedule candidates are determined by maintaining the following constraint items (supply and demand balance) at each point in the planned period (predetermined period in the future).

Estimated total demand power = total generator generated power + total battery charge / discharge total + purchased power total And, by repeatedly executing the evaluation using the above objective function for the schedule candidate, the highest evaluation ( Schedule candidates for which the value of the objective function is minimized are determined as the above power generation plan and charge / discharge plan.

  Note that the schedule candidate may be determined so as to satisfy various constraint conditions other than the supply and demand balance. Alternatively, after determining the schedule candidate so as to maintain the supply and demand balance, it is determined whether or not the schedule candidate satisfies various constraint conditions other than the supply and demand balance, and if it does not satisfy the requirement candidate This schedule candidate may not be selected by increasing the value.

  For example, the active power output value of each generator included in the above schedule candidate and the power rate of the system received power (purchasing power rate), the objective function A described later and the formula of the objective function B By substituting for), the objective function value (the cost value according to the schedule candidate) is calculated. The above is repeated to determine the case where the objective function value is the smallest (this becomes the meaning of min), and the schedule candidate used at that time is determined as the power generation plan and the charge / discharge plan.

In the prior art, for example, the above process is performed using an objective function A described later. In the case of the specific example of the objective function A described later, for example, the planned period (predetermined period in the future) is for 24 hours of the next day, and the above-mentioned schedule candidate in an hour unit is arbitrarily generated. This schedule candidate includes P _Gi (t) (t = 1 to 24) in the specific example of the objective function A described later, and P _Gi (t) (t = 1 to 24) It will be assigned to the objective function A.

  In addition, for each time zone t (t = 1 to 24), the total of the active power output values of all the generators is obtained, and if this is less than the load predicted value in that time zone t, the shortage is Will make up for That is, the shortfall is to be purchased from the outside, and the cost (the electricity charge) according to the purchase amount of the system reception power for each time zone t (t = 1 to 24) is an objective function A described later. Although it is an example of PBcost (t) in a specific example, it is not restricted to this example.

  Then, the minimum value and the maximum value within a predetermined period are obtained from the purchased power amount of the system received power for each time zone t (t = 1 to 24), and these are PB (t) in the objective function B described later min and PB (t) max. For example, an example may be considered in which the minimum value is obtained when t = 5 and the maximum value is obtained when t = 14.

However, the present invention is not limited to this example. For example, the values of PB (t) min and PB (t) max may be generated arbitrarily (randomly).
In addition, for example, even if it is temporary, it is necessary to make it not exceed the contract electric power decided beforehand by the contract even if it is temporary purchase amount of said system | strain receiving electric power purchased from an electric power company. That is, the peak value of the system received power needs to be equal to or less than the contracted power. However, as described in the background art, the higher the contract power, the higher the "basic charge". In this method, the “basic charge” can be reduced by suppressing the peak value of the system received power by using an objective function B described later instead of the above-described objective function A, and thereby suppressing the contracted power. I can expect it. By reducing the “basic charge”, it can be expected that the overall cost will be lowered even if the cost of power generation by the generator has risen to some extent.

As described above, even if the processing itself of the optimization unit 18 is substantially the same as in the conventional case, the objective function to be used is different from the conventional one. This will be described below using a specific example.
First, an objective function used conventionally can be basically regarded as one using an objective function A described below. The objective function A may be regarded as an extracted basic part of the objective function disclosed in, for example, Patent Document 1 above. Therefore, the present invention is not limited to this example, and charging loss cost of the storage battery may be added.

* "Objective function A"

Where Gi is a generator number, Gn is the number of generators, P _Gi (t) is an active power output value of Gi generator at time t, a _Gi , b _Gi , c _Gi is active power and cost of generator Gi Is a coefficient indicating the relationship of Such a formulation takes place as the cost is approximated by a quadratic function of the generator's active power output.

  Further, PBcost (t) is an electric power charge of the system received power at time t. PBcost (t) is a power purchase cost, and is a purchase cost of system received power (power purchase cost from the outside; power purchase cost from the power company).

As an example, when the estimated total demand power is larger than the total value of the total power generation amount ( _PGi (t) by the generator) and the discharge amount by the storage battery at each time t, the power for the shortage is Although purchased from the outside (system power), it is not limited to this example. For example, assuming that the power amount (purchased amount) of the shortage at time t is R (t) and the purchased unit price is j, then PBcost (t) = R (t) × j.

The objective function A can be said to be to minimize the total value (total cost) of “generation cost by the generator” and “purchase cost of system received power (electricity charge)”.
Thus, the objective function A takes into account the “electricity charge” calculated by the daily electricity consumption among the electricity charges, but the annual maximum demand of the customers who become important for the basic charge reduction Not consider the reduction of The annual maximum demand is the load value when the most substantial load (power demand) is large throughout the year. The substantial load (power demand) means, for example, a load viewed from the side of the electric power company. Therefore, even if the load from the customer's load equipment is large, if this load can be covered by the generator and the storage battery, the substantial load (power demand) can be considered as '0'.

  It is necessary to ensure that the above-mentioned substantial load value does not exceed the contracted power value according to the basic charge even if it is temporary. Conversely speaking, it can be expected that the contract power value can be lowered by creating a power generation plan etc. so that the maximum value of the system received power within the planning period becomes as small as possible, thus lowering the basic charge Can be expected.

Therefore, we propose using the following objective function B in this method.
Here, the following three types are proposed as the objective function B. That is, the following three types of objective function B-1, objective function B-2, and objective function B-3 are proposed. Although any of the three types may be used, the objective function B-1 is considered to be the most effective. Also, the objective function B is not always used, and it may be used separately from the objective function A according to some conditions (such as time). This will be described later.

* "Objective function B-1"

* "Objective function B-2"

* "Objective function B-3"

Where Gi is a generator number, Gn is the number of generators, P _Gi (t) is an active power output value of Gi generator at time t, a _Gi , b _Gi , c _Gi is active power and cost of generator Gi Is a coefficient indicating the relationship of P _B (t) is the received power at time t of system power reception, and PBcost (t) is the power amount charge of the system received power at time t (the amount-based charge). Further, k and s are penalty coefficients, for example, coefficients for converting a power value into a cost (charge), and may be arbitrarily determined and set by a developer or the like. PB (t) max is the maximum value within the planning period of the system reception power, and PB (t) min is the minimum value within the planning period of the system reception power. Note that k ≠ s may be satisfied, and k may be equal to s.

  From the above, it is assumed that the objective function B-1 has the objective function A added with the term "k (PB (t) max-PB (t) min) + sPB (t) max". Good. Similarly, the objective function B-2 may be regarded as the objective function A to which the term "sPB (t) max" is added. The objective function B-3 may be regarded as the objective function A to which the term "k (PB (t) max-PB (t) min)" is added.

  The objective function B-1 can reduce the maximum value of the system received power within the planning period by the term "k (PB (t) max-PB (t) min) + sPB (t) max" At the same time, the difference between the maximum value and the minimum value becomes smaller, and it becomes possible to contribute to the leveling of the load when the fluctuation is large. By reducing the maximum value of the system reception power, it is possible to reduce the contract power, and thus it is expected to lower the basic charge of the electricity charge.

  In addition, the objective function B-2 can reduce the maximum value of the system received power within the planning period by the term "sPB (t) max", and it is possible to lower the contracted power accordingly. Therefore, it can be expected to lower the basic rate of electricity charges. In addition, as the maximum value decreases, it can be expected that the difference between the maximum value and the minimum value also decreases, thereby contributing to equalization of the system received power.

  Also, the objective function B-3 is equalized with respect to the load mode when the difference between the maximum value and the minimum value is small due to the term “k (PB (t) max−PB (t) min)” and the variation is large. It is possible to contribute to In addition, as the difference between the maximum value and the minimum value decreases, the possibility that the maximum value decreases can also be expected.

  From the above, the objective function B is to minimize the total cost by the power generation cost by the generator in the predetermined period, the purchase cost of the system received power, and the cost according to the maximum value / minimum value of the system received power. It is. The objective function B is determined according to the power generation cost in the predetermined period, the purchase cost of the system received power, and the “maximum value of the system received power” or / and “the difference between the maximum value and the minimum value”. Cost and the total cost due to the cost is minimized.

  In the present description, "/" means OR condition ("or" or "or"). Therefore, the above "or / and" means "or OR and". From the above, "the cost according to the maximum value of the system received power" or / and "the cost according to the difference between the maximum value and the minimum value" means one of the following three types: .

・ "Cost according to the maximum value of the system received power"
"Cost according to the difference between the maximum value and the minimum value"
"Cost according to the maximum value of the system received power" and "Cost according to the difference between the maximum value and the minimum value"

  It can be said that the objective functions B-1, B-2, and B-3 are all intended to equalize the system received power. In other words, both the reduction of the maximum value (peak value) of the system received power and the reduction of the difference between the maximum value and the minimum value of the system received power are considered to be equal to the system received power. You can As a result, by lowering the contract power and thereby lowering the basic charge, the overall cost can be reduced.

Further, as described above, the objective function A is to minimize the total cost due to the power generation cost by the generator and the power purchase cost of the system reception power in the predetermined period.
Here, as described above, in the present method, the objective function B is not always used, and either the objective function A or the objective function B may be selectively used.

  For example, as an example, a method of selectively using the objective function A and the objective function B depending on the time is presented. The objective function B is effective for reducing the contract power since it has the effect of reducing the maximum daily demand. However, there is a problem that there is a possibility that a plan that is disadvantageous to the operation cost may be formulated as compared with the objective function A in order to reduce the maximum daily demand.

  Since the contract power is generally determined by the annual maximum demand of customers, if the maximum demand during the year of high demand (for example, summer or winter) can be reduced by using the objective function B, the contract power can be reduced. Is valid. However, in the summer and winter seasons, that is, in spring and autumn, the objective function A is used to reduce the maximum demand but the plan that is not favorable to the operation cost is better. It leads to the overall cost reduction.

  From the above, for example, the past demand record stored in the power demand record DB 11 is analyzed by a computer etc., and a day on which the annual maximum demand occurs is detected, and a predetermined period including this day (for example, The application period of the objective function B is determined as the application period of the objective function B, with a predetermined period including several days before or after, or a month including this day and several months after that) Decides to use the objective function A.

  Of course, this is an example, and it is not limited to this example. In any case, the application period of the objective function B and the application period of the objective function A can be automatically determined in one year in any way, and by using the objective function A and the objective function B properly, Overall cost reduction can be realized.

  As described above, the power system plan creation device 10 of this example is based on the predicted value of the power consumption of the load facility during the target period of the supply and demand plan, the power generation facility in the power system including the power generation facility and the storage facility and A power supply and demand plan creation device that performs supply and demand planning of storage equipment, and can reduce or minimize operating costs of power generation equipment and storage equipment while reducing contract power. As a result, it is possible to lower the basic charge while balancing the generated power and the power demand, and it is possible to create a power supply and demand plan that can further obtain a cost reduction effect.

  According to the present invention, by performing load leveling with a storage battery with a certain level of force, it is possible to minimize costs by lowering the contract power and thereby lowering the basic charge.

10 Power System Planning Device 11 Power Demand Record DB
12 weather record DB
13 Generator Characteristic DB
14 Storage battery characteristic DB
15 Operation Constraint DB
16 power demand forecasting unit 17 objective function / constraint generating unit 18 optimization unit 21 date 22 time zone 23 load power actual value 31 date 32 time zone 33 air temperature actual value

Claims (10)

An apparatus for generating an operation schedule of a generator and a storage battery in a predetermined future period with respect to an electric power system including a generator, a storage battery, and a load facility,
Load power prediction means for predicting load power which is power consumption by the load facility in the predetermined period;
The first related to the power generation cost by the generator , the purchase cost of the system received power , and the cost according to the maximum value or / and the difference between the maximum value and the minimum value of the system received power in the predetermined period using an objective function, and various constraints on the battery and the generator, the based on the load power the load power predicted by the predicting means, the generator and the storage battery that minimizes the first objective function Operation schedule generating means for generating an operation schedule of
A supply and demand plan creation device characterized by having.   The first objective function is a cost according to the power generation cost, the purchase cost of the system reception power, and the maximum value or / and the difference between the maximum value and the minimum value of the system reception power in the predetermined period. The demand and supply plan creating apparatus according to claim 1, wherein the total cost due to and is minimized. The first objective function is
The supply and demand plan creation device according to claim 1 or 2, characterized in that: The first objective function is
The supply and demand plan creation device according to claim 1 or 2, characterized in that: The first objective function is
The supply and demand plan creation device according to claim 1 or 2, characterized in that: The operation schedule generating means
Characterized by using the generator by the power generation costs and further the second objective function related to the power purchase cost of the mains power has, by selecting one of the first objective function and the second objective function The supply and demand plan creation device according to any one of claims 1 to 5, wherein   The demand and supply plan according to claim 6, wherein the second objective function is to minimize the total cost of the power generation cost by the generator and the power purchase cost of the system received power during the predetermined period. Creation device. The second objective function is
The supply and demand plan creation device according to claim 7, characterized in that: Wherein the first objective function selection of the second objective function, demand planning apparatus according to any one of claims 6-8, characterized in that determining, based on the date that annual maximum demand occurs. A computer for generating an operation schedule of a generator and a storage battery in a predetermined future period with respect to a power system including the generator, the storage battery, and the load facility;
Load power prediction means for predicting load power which is power consumption by the load facility in the predetermined period;
The first related to the power generation cost by the generator , the purchase cost of the system received power , and the cost according to the maximum value or / and the difference between the maximum value and the minimum value of the system received power in the predetermined period using an objective function, and various constraints on the battery and the generator, the based on the load power the load power predicted by the predicting means, the generator and the storage battery that minimizes the first objective function Operation schedule generating means for generating an operation schedule of
Program to function as