JP2014228873A - Method for creating optimum energy plan and optimum controller - Google Patents

Abstract

PROBLEM TO BE SOLVED: To solve the problem that a gas purchase contract for energy generation is sometimes accompanied by a restriction on a contract year amount of gas use satisfying a reference amount, so that if a lower limit restriction is deviated, penalty is incurred.SOLUTION: When creating an energy operation plan, a heat demand total amount calculation unit extracts a power/heat demand total amount for each time division slot into which each division of a short period division is further divided in time. A primary heat total amount calculation unit subtracts a contract power countermeasure portion from the power/heat demand total amount to find a heat demand total amount, and obtains an expected amount of gas use after cost for the heat demand total amount is calculated by a gas demand cost calculation unit. A lower-limit restriction on amount of gas use and an expected amount of gas use within a prescribed period are compared. If the expected amount of gas use is small, a forcible amount of gas use is allocated to only a heat demand portion, and a consumption target setting unit sets a consumption target value by dividing the allocated expected amount of gas use and forcible amount of gas use.

Description

  The present invention relates to an energy optimum plan creation method and an optimum control device, and more particularly to an energy optimum plan creation method for a lower limit constraint of contract annual gas consumption, and an optimum control device based on a demand plan created by the optimum planning method. is there.

Starting with power supply control of electric power companies, supply / demand control of smart grids, supply / demand control by smart BEMS / FEMS (energy management system), and supply / demand control of micro grids, etc., to perform optimal operation for the economics and environmental performance of energy facilities In general, the following supply and demand planning control is implemented.
a. Supply / demand control that realizes a supply / demand balance performs power generation according to an operation plan created from a demand forecast and performs output control that adjusts the difference between demand and supply. The planning period at that time is one to several days.
b. “Operation plan creation” creates an optimum operation plan for each new energy power source from the results of “power / heat demand prediction” and “natural energy output prediction”.
c. “Load follow-up control” performs operation / stop and output control of each new energy power source according to the operation pattern created in the operation plan, and also performs output control following the load fluctuation.
d. “Short-term load prediction” detects that the pre-generated power has become insufficient and corrects the operation pattern.

  FIG. 12 schematically illustrates the processes a to d described above. Further, for example, Patent Document 1 is known as power / heat load prediction control.

JP2009-189085

  Gas is used to meet the demand for electricity and heat, but in a large purchase contract for purchase of gas used, the contract annual gas consumption that satisfies the standard amount of large supply is determined, and when determining the usage May be accompanied by restrictions on the amount of usage that cannot be reduced, and a penalty will be incurred if it deviates from the lower limit.

  In the current energy optimum operation planning system, since the optimization time unit is one day to several days, the optimum consumption for a large amount of gas which is an annual contract amount is not considered. In addition, even when trying to perform a simulation to perform optimal supply and demand control, such as at what point in time the amount of gas used in the year, when the energy price is electricity <gas, There is a problem that the cost increases.

  An object of the present invention is to provide an energy optimum plan creation method and an optimum control device that are performed within a lower limit restriction amount of a contract annual gas consumption amount that satisfies a reference amount for large-volume supply.

Claim 1 of the present invention has power, natural energy, and gas supply sources as energy sources of energy consuming equipment, and energy is optimal based on consumption of purchased gas amount that has a lower limit of gas usage within a predetermined period. In a method for creating an energy operation plan by an operation plan creation device,
The time period of primary energy price fluctuations due to electricity and gas created by the energy demand creation unit is divided into short periods within the predetermined period, and the short-term division is further divided into hours by the total heat demand calculation unit. The total power and heat demand for each zone is extracted, the total heat demand is calculated by subtracting the contracted power measures from the total power and heat demand by the total heat demand calculation unit, and the total heat demand is calculated by the gas demand cost calculation unit. After calculating the cost, calculate the expected gas usage,
The heat demand setting unit sums up the expected gas usage for each short-term segment and time segment and compares it with the lower limit for gas usage within the specified period. This is characterized in that it is allocated only to the demand, and the allocated expected gas usage amount and forced gas usage amount are allocated to obtain the consumption target value by the consumption target setting unit.

Claim 2 of the present invention has a power, natural energy and gas supply source as an energy source of the energy consuming equipment, and an optimum energy operation based on the purchase gas amount consumption having a gas usage lower limit within a predetermined period. In creating an energy operation plan with a plan creation device,
An energy demand creation unit that creates an energy demand forecast by dividing a power / gas price fluctuation time zone into short periods and time zones within the predetermined period based on data stored in the energy optimum operation plan creation device When,
A total energy calculation unit for calculating a total energy amount by using cogeneration for each time zone section created by the energy demand creation unit;
Based on the results calculated by the total energy calculation unit, for each short period within the predetermined period, extract the total energy for each time zone created by the energy demand creation unit, and from the total energy for each time zone A total heat demand calculation unit that calculates the total heat demand by subtracting the contract power countermeasures using cogeneration,
A heat demand cost calculation unit for calculating a unit output cost by a thermal device using electric power other than cogeneration and boiler use, and a unit output cost at the time of cogeneration and boiler use, respectively, for the calculated heat demand,
Comparing the cost of gas use in each time zone calculated by the heat demand cost calculation unit with the cost of using electrical equipment, the expected amount is the amount of gas used when gas usage is advantageous, and every short period of time within a specified period An expected gas use amount calculation unit that is determined for each belt and used as a demand amount set value for a predetermined period;
When the expected gas usage for each short period and time period calculated by the expected gas usage calculator is totaled and compared with the lower limit for gas usage within the specified period, the total expected gas usage is small A heat demand setting unit that assigns the forced gas usage to the heat demand,
A consumption target setting unit is provided that selects either the expected gas use amount or the forced gas use amount and sets the selected amount as a target value of the forced use amount.

  According to a third aspect of the present invention, an hourly price band adjustment unit is provided when there is a storage battery that can be used in an energy consuming system, and the storage battery is fully charged at the lowest power price range of the energy demand forecast created by the energy demand creation unit. And, when the power price considering the storage battery efficiency at the time of charging is cheaper than the power generation cost of cogeneration, the energy demand forecast is made so that full discharge (discharge amount = charge amount * charge efficiency * discharge efficiency) at the highest power price range It is characterized by correction.

  Claim 4 of the present invention is provided with an operation control unit that executes the operation of the energy consuming device with the forced use amount as a target value, and the operation control unit inputs consumption data by the energy consuming device, and the input consumption data amount is When the short-term forced usage target value is not reached, the operation is performed by adding the unreached portion to the next short-term forced usage target value.

  Claim 5 of the present invention allocates the gas forced usage amount every time within a predetermined period in the heat demand setting unit, and the heat demand setting unit passes through the selected device for a predetermined period of time with a high electricity bill, and Select the time not in use for electric heating operation, and check the availability of all hours within the specified period in descending order of the electricity bill, and when the operation is possible, the amount of gas for operation is the time period gas distribution amount in the short-term division It is characterized by adding to.

  As described above, according to the present invention, when the annual gas consumption is consumed within the contract lower limit restriction amount, even with respect to the load fluctuation of the energy consuming equipment dispersed in a plurality, the electric power and the natural energy are considered throughout the year. Operation with an optimal operation schedule using gas becomes possible. In addition, an apparatus that can be mounted easily with a relatively low optimal operation plan creation cost is possible.

The function block diagram which shows embodiment of this invention. Seasonal / time division diagram of energy prices. Energy unit price chart for each season and time segment. Energy unit price chart for each season and time when using storage batteries. Monthly energy consumption chart. Annual energy demand map of the year. Monthly energy unit price diagram. Efficiency table of distributed power source / heat source. Annual heat demand map of the year. The heat demand figure for every time zone in August. Explanatory drawing for comparing energy supply costs during daytime hours. Demand plan control diagram.

  FIG. 1 shows a functional configuration diagram of the present invention, wherein 1 is an energy optimum plan creation device, 2 is an input unit composed of a keyboard and a mouse, 3 is an output unit with a display screen, and 4 is a storage unit. Each data necessary for creating an optimum operation plan for energy is stored.

  The energy optimum operation plan creation device 1 has functions of 11 to 19 described later. A control unit 11 controls data processing by performing data processing and processing for smoothly acquiring data stored in the storage unit 4 and exchanging data and processing programs between 11 to 19.

  Reference numeral 12 denotes an energy demand creation unit, which classifies each time zone in which fluctuations are assumed in the primary energy price of power and gas based on data accumulated in the storage unit 4 via the control unit 11. FIG. 2 shows a seasonal division / time division diagram of the energy price created by the energy demand creation unit 12. The vertical axis indicates the season classification, for example, summer power charge season, winter power charge season,... In addition, the horizontal axis is divided into time divisions, midnight, nighttime, and winter peak hours, and an energy demand forecast is created taking into consideration nighttime electricity charges, daytime electricity charges, summer peak cut times, scheduled load conditions, and the like.

Reference numeral 13 denotes an hourly price band adjustment unit, and this hourly price band adjustment unit 13 is arranged for each season / time division as shown in FIG. 3 in the column of the matrix based on the energy demand forecast created by the energy demand creation unit 12. Enter the energy unit price. Furthermore, when there is a total amount of storage batteries (actual amount including charging / discharging efficiency) that can be used in the supply and demand control system, the battery is fully charged at the lowest power price range of the energy demand forecast created by the energy demand creation unit 12. Assuming a model that fully discharges (discharge amount = charge amount * discharge efficiency) at the highest power price range when the power price considering the storage battery efficiency at the time of charging is lower than the power generation cost of cogeneration, the energy demand creation unit 12 As shown in FIG. 4, the charging / discharging time zone of the storage battery is added to the time zone created in step 1 and corrected. As the price of primary energy at this time, a value obtained by multiplying the minimum power price by the reciprocal of the charge / discharge efficiency is used.
In addition, when the storage battery total amount does not exist, of course, the function of the hourly price range adjustment part 13 is unnecessary.

Reference numeral 14 denotes a total energy calculation unit, which is a time zone created by the energy demand creation unit 12 every month (predetermined period is further divided into short periods) for one year (or a predetermined period) based on the results of the previous year or earlier. Calculate the total amount of energy generated by using cogeneration that is operated to avoid exceeding the contract power for each category. A virtual value is used when there is no actual value. FIG. 5 shows an example of the calculated monthly energy consumption.
6 is an annual monthly energy demand forecast created by 12 to 14 functional units. In FIG. 6, the portion where July and September are displayed twice is a peak cut from the middle of July. This shows that the summer price has changed and the summer price will continue until mid-September. In addition, PV has shown natural energy with the amount of photovoltaic power generation.

Reference numeral 15 denotes a total heat demand calculation unit, which calculates the total amount of energy (power / gas) for each time segment created by the energy demand creation unit 12 for each month of the year based on the results calculated by the total energy calculation unit 14. Extract. After the extraction, the total amount of heat demand is calculated by subtracting the amount of contract power countermeasures due to the use of cogeneration in the total energy amount calculation unit 14 from the total energy amount of each time segment. However, the power generation amount based on natural energy such as the solar power generation amount PV in the time zone is subtracted in advance from the power demand. A virtual value is used when there is no actual value.

  Reference numeral 16 denotes a heat demand cost calculation unit, which is a unit output when the cogeneration and boiler are used to the maximum with respect to the total heat demand calculated by the total heat demand calculation unit 15 and the rest is covered by thermal equipment using electric power ( Calculate the cost per (electricity + heat). At the same time, for the same total heat demand, the cost per unit output (electric power + heat) when using the thermal equipment that uses electric power for primary energy, such as heat pumps, and the rest is covered by cogeneration and boiler calculate. The cogeneration, boiler, and heat pump conversion efficiencies used in the calculations can be selected to be adjusted later using fixed values of minimum, intermediate or maximum values. FIG. 7 is an example of a monthly energy unit price chart, and FIG. 8 is an efficiency table of the distributed power source / heat source.

  Reference numeral 17 denotes an annual gas use expected amount calculation unit, which compares the cost when using as much gas as possible in each time zone calculated by the heat demand cost calculation unit 16 with the cost when using electrical equipment at the maximum. When the person who used a lot of gas becomes cheaper, it is considered that the profit of the person using cogeneration will increase in that time zone, and the gas consumption using the maximum cogeneration and boiler is assumed to be the maximum amount per month / hour Calculate and record for each band. FIG. 9 shows the set value of the monthly heat demand for the year set as the expected amount of gas use.

  Reference numeral 18 denotes a heat demand setting unit that allocates gas use to heat demand. The gas use expected amount calculation unit 17 calculates the gas use expected amount for each month and time zone, and the annual gas use lower limit constraint Compare. If it is sufficient, the process proceeds to the next step, but if it is insufficient, the heat demand cost calculation unit 16 compares the costs for each month and time zone, and the difference between the gas equipment priority operation cost and the electrical equipment priority operation cost is small. In order from the time zone, the forced gas usage is allocated for each heat demand by the heat demand.

When allocation of heat demand for one year does not satisfy the annual gas consumption lower limit, cogeneration is operated only by power generation (heat is discarded) and gas is consumed.
Distribution of gas consumption by heat waste operation is calculated by the following procedure.
A. The conversion efficiency used for the calculation is selected from the efficiency table shown in FIG.
B. Select equipment that uses gas for primary energy, and arrange in order of efficiency.
C. Select devices in descending order of power conversion efficiency.
D. The selected device is operated at a time when the electricity rate is high throughout the year and when it is not used in the electric heating operation of the heat demand setting unit 18. Check the availability of electricity for all hours of the year in descending order of electricity charges, and add the amount of gas for operation to the corresponding monthly / time zone gas distribution when operation is possible. If the lower limit of annual gas consumption is met, move on to the next step. When the check of availability of operation for one year is finished, the next device with high power conversion efficiency is selected, the procedure proceeds to D, and this is repeated.

  FIG. 10 shows an example of heat demand for each time zone in August assigned by the heat demand setting unit 18, and midnight time, daytime time, summer peak time, and battery discharge time are assigned to the thermal energy load. Is called.

  Fig. 11 shows an outline of the comparison of energy supply costs during the daytime hours of August as an example. The energy price when the power equipment is used to the maximum is X yen, and the gas equipment is used at the maximum. When the Y circle is used, when X ≧ Y, the use of gas can be expected automatically by the energy optimum operation plan. Further, when X <Y, the gas cannot be used in the operation as it is, so the gas usage is assigned from the month when the price difference is small.

Reference numeral 19 denotes a consumption target setting unit, which allocates the expected gas use amount and the forced gas use amount allocated to each day in the relevant time zone within the relevant month, or from the amount capable of daily gas consumption, Distribute in the last order. Which is to be selected is configured to be arbitrarily selectable via an external interface or the like depending on the circumstances of the customer, and the selected value is set as a consumption target value.
In addition, the division | segmentation for every month in the above is a standard, The increase / decrease is decided arbitrarily.
If there is a price fluctuation of primary energy depending on the season within the month, the fluctuation is prioritized.

  Next, a specific calculation method for calculating the energy unit for each season / time segment will be described below.

(1) Calculation of energy unit when the maximum amount of gas is used a. The conversion efficiency used for the calculation is selected from the efficiency table shown in FIG.
b. Select equipment that uses gas for primary energy, and arrange in order of efficiency.
c. Select devices in order of good conversion efficiency.
d. Obtaining selected electrical output Op and thermal output O _H and conversion cost Uc when operating within the framework of each time the apparatus (1) to (3) by it.

Op = min (Up, Sp) (1) where Op (kWh): electrical energy output within the season / time division of the equipment, Up: maximum electrical output (kWh) of the equipment, Sp: demand for power Remaining amount.

O _H = min (U _H , S _H ) (2) where O _H (kWh): thermal energy output within the season / time division of the device, S _H : remaining heat demand.

Uc = max ((100 * Op / Rp) * C _H , (100 * C _H / R _H ) * C _H )
(3) where Rp (%): selected conversion efficiency (electricity), R _H (%): selected conversion efficiency (heat),
Uc (¥): Conversion cost (primary energy cost) of the device, C _H (¥): Primary energy usage at the selected conversion efficiency (electricity Rp, heat R _H ) at gas unit price.
e. When not satisfied heat demand usage month frame of interest, calculates the electric demand remaining month frame (Sp = Sp-Op, S H = S H -O H) to better gas appliances of the following energy efficiency Select and return to c. At this time, the formula for obtaining the conversion cost is based on the following five formulas (d) of “Calculation of energy unit for each season / time segment”.
f. Calculation of the energy unit E _U are by equation (4).
E _U = ΣUc / (Op + O _H ) (4) Equation (2) Calculation of energy units when the maximum amount of electricity is used (a). The conversion efficiency used for the calculation is selected from the efficiency table shown in FIG.
(B). Select devices that use electricity for primary energy and arrange them in order of efficiency.
(C). Select devices in order of good conversion efficiency.
(D). After calculating the thermal energy output O _H when driving a selected device within the framework of the seasons and time division (2) in equation obtaining the (5) conversion based on the formula cost Uc (¥).
Uc = (100 * O _H / R _H ) * C _H (5) Formula (e). When the energy usage amount of the target season / time frame is not satisfied, the remaining amount is calculated and the process returns to (c). When there is no electrical device, a gas device having heat output is selected and the process returns to (c). At this time, the formula for obtaining the conversion cost is based on the calculation formula described in e of “Calculation of energy unit for each season / time segment”.
(F). Calculation of the energy unit E _U is according to the expression (6).

E _U = ΣUc / O _H (6) As described above, the consumption target value set by the consumption target setting unit 19 in the optimum plan created by the energy optimum operation plan creation device 1 is the corresponding month, for example. It is not a simple average. That is, a change in energy consumption different from that at the time of creating the optimum plan occurs due to lack of sunshine or load fluctuation due to rain. For this reason, in the present invention, the optimum operation of the daily energy facility is carried out based on the annual gas usage plan with the constraints described below.

  In FIG. 1, reference numeral 5 denotes an operation control unit for executing the optimum operation. Actual operation data from various energy consuming equipment is input to the operation control unit 5 via the input / output function unit. The operation control unit 5 forcibly consumes the target value of the forced gas use amount in the daily optimum operation plan by the demand program based on the operation plan created by the energy optimum operation plan creation device 1. Therefore, the expected gas usage at this time is based on the result of the demand program of the optimum operation plan.

When the consumption data input to the operation control unit 5 and the forced gas usage based on the optimal operation plan are compared, the heat demand is reduced due to weather or holidays on the day, and the forced gas usage does not reach the target. It is added to the target of the next day.
Similarly, when the heat demand changes due to weather, holidays, etc., and the amount of gas used in the optimized operation differs from the target value, the difference is added to the next day.

  The daily gas consumption results are added as monthly (or predetermined day) results, and when it is determined that the total amount based on the lower limit constraint amount exceeds a predetermined threshold, the energy demand creation unit 12 makes a consumption target in the middle of the year. The plan is again created and corrected by the procedure by the setting unit 19, and the operation based on the corrected plan is restarted.

  In addition, although the operation execution part 5 has shown by performing the automatic driving | operation by the optimal operation plan of the energy connected to the energy optimal operation plan preparation apparatus 1 in FIG. The annual consumption target value is stored in the memory, a program is created based on the memory record, and the operation control may be executed using an operation control device that does not have an automatic operation function installed separately. As an index, consumption control may be performed by gas usage distribution calculation.

  As described above, according to the present invention, when the annual gas consumption is consumed within the contract lower limit restriction amount, the optimum by electric power and gas is taken into consideration for natural energy throughout the year, even for load fluctuations of energy consuming devices dispersed in multiple. Operation according to the operation schedule is possible. In addition, since it is possible to perform optimal supply and demand control without performing a simulation, the apparatus can be easily mounted with a small optimal operation plan creation cost.

  Further, since the method for creating the optimum operation plan is a priori, explanation and judgment of the output result can be facilitated. In general, a penalty is incurred when the annual gas consumption deviates from the contract minimum limit in a large gas contract, but the penalty can be avoided by using the present invention even when determining the profit or loss when the penalty is taken into account. It is easy to make a comparative judgment by repeatedly calculating twice when the operation is performed and when the penalty is accepted.

DESCRIPTION OF SYMBOLS 1 ... Energy optimal operation plan preparation apparatus 2 ... Input part 3 ... Display part 4 ... Memory | storage part 5 ... Operation control part 11 ... Control part 12 ... Energy demand creation part 13 ... Price range adjustment part 14 by time 14 ... Energy total amount calculation part 15 ... Total heat demand calculation unit 16 ... Heat demand cost calculation unit 17 ... Expected gas use amount calculation unit 18 ... Heat demand setting unit 19 ... Consumption target setting unit

Claims (5)

Energy operation plan by energy optimal operation plan creation device based on consumption of purchased gas amount that has lower limit of gas usage within a predetermined period, having energy, natural energy and gas supply source as energy source of energy consuming equipment In the method of creating
The time period of primary energy price fluctuations due to electricity and gas created by the energy demand creation unit is divided into short periods within the predetermined period, and the short-term division is further divided into hours by the total heat demand calculation unit. The total power and heat demand for each zone is extracted, the total heat demand is calculated by subtracting the contracted power measures from the total power and heat demand by the total heat demand calculation unit, and the total heat demand is calculated by the gas demand cost calculation unit. After calculating the cost, calculate the expected gas usage,
The heat demand setting unit sums up the expected gas usage for each short-term segment and time segment and compares it with the lower limit for gas usage within the specified period. An energy optimal plan creation method characterized by allocating only the demand amount and allocating the allocated expected gas usage amount and forced gas usage amount to a consumption target value by a consumption target setting unit. An energy operation plan is created by the energy optimum operation plan creation device based on the purchased gas amount consumption that has the lower limit of gas usage within a predetermined period. In what you create,
An energy demand creation unit that creates an energy demand forecast by dividing a power / gas price fluctuation time zone into short periods and time zones within the predetermined period based on data stored in the energy optimum operation plan creation device When,
A total energy calculation unit for calculating a total energy amount by using cogeneration for each time zone section created by the energy demand creation unit;
Based on the results calculated by the total energy calculation unit, the total energy for each time zone created by the energy demand creation unit is extracted for each short period within the predetermined period, and the above code is calculated from the total energy for each time zone. A total heat demand calculation unit that calculates the total heat demand by subtracting the contract power measures for generation use,
A heat demand cost calculation unit for calculating a unit output cost by a thermal device using electric power other than cogeneration and boiler use, and a unit output cost at the time of cogeneration and boiler use, respectively, for the calculated heat demand,
Comparing the cost of gas use in each time zone calculated by the heat demand cost calculation unit with the cost of using electrical equipment, the expected amount is the amount of gas used when gas usage is advantageous, and every short period of time within a specified period An expected gas use amount calculation unit that is determined for each belt and used as a demand amount set value for a predetermined period;
When the expected gas usage for each short period and time period calculated by the expected gas usage calculator is totaled and compared with the lower limit for gas usage within the specified period, the total expected gas usage is small A heat demand setting unit that assigns the forced gas usage to the heat demand,
An energy optimum operation plan creation device comprising: a consumption target setting unit that selects either the expected gas usage amount or the forced gas usage amount and sets the selected amount as a target value of the forced usage amount. When there is a storage battery that can be used in the energy consumption system, an hourly price range adjustment unit is provided, and the storage battery is fully charged at the lowest power price range of the energy demand forecast created by the energy demand creation unit, and the storage battery efficiency at the time of charging is increased. A bill characterized by amending the energy demand forecast so that full discharge (discharge amount = charge amount * charge efficiency * discharge efficiency) is performed at the highest power price range when the considered power price is lower than the power generation cost of cogeneration. Item 2. The optimum energy operation plan creation device according to Item 2. An operation control unit is provided to execute the operation of the energy consuming equipment with the forced use amount as the target value. The operation control unit inputs consumption data from the energy consuming device, and the input consumption data amount is the 4. The energy optimum operation plan creation device according to claim 2, wherein when the target value is not reached, the operation is performed by adding the unreached portion to the target value of the forced use amount for the next short period.   In the heat demand setting unit, the gas forced use amount is assigned every time within a predetermined period, and the heat demand setting unit is not using the selected device for a predetermined period of time with a high electricity bill and in electric heating operation. It is operated by selecting the time, checking whether it can be operated for all hours within a predetermined period in the order of high electricity charges, and adding the amount of gas for operation to the time period gas distribution amount of the short period when it can be operated. The energy optimal operation plan preparation apparatus of Claim 2 thru | or 4.

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