JP2002271986A - Energy supplying system and center computer - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an energy supplying system which controls power generating facilities at low cost so as to a demand, and maximize energy efficiency. SOLUTION: The computer 4 of a control center 3 performs retrieval of data on temperature forecast and weather forecast (Step 201), data on power demand, heat demand, power generation efficiency, heat efficiency, etc., (Step 202); and receives a generated power output Gk, an exhausted heat output Hk, a demand output DG, etc., being generated at present (Step 203). The computer 4 temporarily determines a power output to be generated Gk for each power generating set 6 on the basis of these data (Step 204); calculates the fuel cost, maintenance cast, CO2 exhaust cost, NOx exhaust cost, water use cost, etc.; and calculates an overall cost C being the total of each cost (Step 205-213). If the overall cost C with respect to the temporarily determined power output Gk is minimum (Step 214), the computer 4 determines the power output Gk, and transmits it to each generating set 6 (Step 215).

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to an energy supply system and a center computer using a network.

[0002]

2. Description of the Related Art Conventionally, in a specific-scale electric power business, a specific-scale electric power company transfers electric power generated by its own power generation equipment or the like to a specific-scale customer such as a factory or a company via a power company transmission line. Supply.

[0003]

SUMMARY OF THE INVENTION A specific-scale customer transmits the amount of power demand to a specific-scale electric power company by wire communication such as an optical fiber, and the cost is high and impractical. Also, in the power supply control on the side of the specific-scale electric utility, the power generation equipment is controlled by the power and the power factor in the premises, so that an overall optimal control could not be performed.

The present invention has been made in view of the above points, and an object of the present invention is to provide an energy supply system that controls power generation equipment so as to meet the demanded power at a low cost and to maximize the energy efficiency. And

[0005]

In order to achieve the above-mentioned object, a first aspect of the present invention is to provide a method for connecting an energy production facility of a plurality of energy suppliers and a plurality of energy consumers via an energy supply network. A system for supplying energy, comprising: a center computer for controlling an amount of energy of the energy production facility, wherein the energy production facility transmits a measured current supply energy amount to the center computer via a network. The measuring means for measuring the energy consumption amount on the energy consumer side transmits the measured current demand energy amount to the center computer via a network, and the center computer receives the supplied energy amount and the required energy amount. Energy supply cost of each energy supplier based on the quantity Total determines the energy supply of smallest next predetermined time, an energy supply system characterized by comprising transmitting the energy supply to the each energy production facility.

[0006] The energy supplier supplies energy to energy consumers, and is a specific-scale electricity supplier or the like. An energy customer is a specific-scale customer such as a factory or a company. The energy supply network is a power company transmission line. The energy is electricity, and the energy production equipment is a power generator or the like. The energy supply cost is a total of fuel cost, maintenance cost, the amount of the amount of emission of the environmental assessment substance converted into the cost, and the like.

In the first invention, the energy production equipment is
The measuring means for transmitting the measured current supplied energy amount to the center computer via the network and measuring the energy consumption on the energy consumer side transmits the measured current demand energy amount to the center computer via the network. Send. The center computer, based on the amount of energy supplied and demanded,
The energy supply amount for the next predetermined time when the total energy supply cost of each energy supplier is minimized is determined, and the energy supply amount is transmitted to each energy manufacturing facility.

A second invention is a center computer connected via a network to energy production facilities of a plurality of energy suppliers, energy measuring means of a plurality of energy consumers, and Determining the energy supply amount for the next predetermined time when the total of the energy supply costs of the respective energy suppliers is minimized based on the current supply energy amount received from the computer and the current demand energy amount received from the energy measuring means. And transmitting the energy supply amount to each of the energy production facilities.

[0009]

Embodiments of the present invention will be described below in detail with reference to the drawings. FIG. 1 is a schematic configuration diagram of an energy supply system 1 according to the present embodiment. The energy supply system 1 uses a network to supply power to a plurality of customers, which is a plurality of specific-scale electric utilities having a power generation device, in order to meet the power demand and achieve the highest energy efficiency. Control the power generator so that

As shown in FIG. 1, an energy supply system 1 includes a control center 3, a plurality of suppliers 5-1, 5-2,
5-3, a plurality of customers 7-1, 7-2, 7-3, a network 9, a power company transmission line 10, and the like.

The control center 3 has a computer 4, a database 13, and the like. The computer 4 is connected to the power generators 6-1, 6-2, 6-3 of the respective suppliers 5 and the power meters 8-1, 8-2 of the respective consumers 7 via a network 9 such as the Internet. 8-3, for transmitting and receiving power-related information and controlling supplied power. The database 13 includes power demand trend data 15 and heat demand trend data 1 which are past performance data as internally stored data.
6, power generation efficiency data 17, exhaust heat efficiency data 18, and the like.

The suppliers 5-1 5-2, and 5-3 are specific-scale electric utilities, and have power generation devices 6-1, 6-2, and 6-3, which are energy production facilities, respectively. , 7-1, 7-2, 7- via the power company transmission line 10.
3 is supplied with electricity 11. Power generators 6-1, 6-2, 6
-3 is connected to the computer 4 of the control center 3 via the network 9 and performs transmission and reception. Customer 7-1,
Reference numerals 7-2 and 7-3 denote specific-scale customers such as factories and companies, and power meters 8-1, 8-2 and 8-3, which are measuring means for measuring the energy consumption of the customers 7, respectively. Have.
Each wattmeter 8-1, 8-2, 8-3 is connected to the control center 3 via the network 9, and transmits the measured demand power amount and the like.

Next, the flow of processing of the entire energy supply system 1 will be described. FIG. 2 shows a processing flow of the entire energy supply system 1.

As shown in FIG. 2, the computer 4 of the control center 3 converts the data on a network 9 such as the Internet into each of the suppliers 5-1, 5-2, 5-
3. Predict future temperature and weather at the locations of the customers 7-1, 7-2, and 7-3 (step 201).

The computer 4 is provided with each of the power generators 6-1 and 6
The power demand trend data 15 and the heat demand trend data 16 which are past performance data are searched and retrieved from the database 13 every -2 and 6-3. In addition, the computer 4 reads the power generation devices 6-1 and 6 from the database 13.
-2, 6-3 power generation efficiency data 17, heat efficiency data 18
Are retrieved and extracted (step 202).

The computer 4 supplies the current power output Gk and the waste heat output Hk (k = 1, k = 1, 2) measured from the power generators 6-1, 6-2, 6-3 on the supplier 5 side via the network 9.
2, 3) and the watt meters 8-1, 8-2, 8-
Current demand output Dk measured from 3 (k = 1, 2, 3)
Etc. are received (step 203).

The computer 4 executes steps 201 and 20
2, 203, the power generation output G of each of the power generators 6-1, 6-2, 6-3 for the next predetermined time.
k is provisionally determined (step 204). Restrictions: 条件
Let Gk = Dk (k = 1, 2, 3).

The computer 4 calculates the temporarily determined power output G
k (k = 1, 2, 3) for the power generators 6-1, 6-
The fuel cost ΔFk of 2, 6-3 is calculated (step 20).
5), the maintenance cost ΔMk is calculated (step 206). The computer 4 calculates the provisionally determined power generation output Gk
(K = 1, 2, 3), the amount of emitted CO2 is calculated (step 207), and the calculated amount of emitted CO2 is calculated as cost @ Vk
(Step 208). Similarly, the computer 4 calculates the amount of discharged NOx and calculates the cost ΣUk for removing the discharged NOx (steps 209 and 21).
0). The computer 4 calculates the amount of water used, such as cooling water, at the time of power generation, and converts it into cost ΣWk (step 211,
212).

The computer 4 sums up the fuel cost ΣFk, maintenance cost ΣMk, emission CO2 cost ΣVk, emission NOx cost ΣUk, water usage cost ΣWk, etc.
The total cost C is calculated (step 213).

If the total cost C for the temporarily determined power generation output Gk is not the minimum, the process proceeds to step 204, where the power generation output Gk (k = 1, 2, 3) is adjusted, and the cost is calculated again.

The temporarily determined power generation output Gk (k = 1, 2,
When the total cost C for 3) is the minimum (step 21)
4), the computer 4 determines the power generation output Gk, and generates the power generation devices 6-1 and 6- 6 of the respective suppliers 5-1, 5-2 and 5-3.
Each power generation output Gk (k = 1, 2, 3) is transmitted to 2, 6-3 (step 215). The computer 4 returns to step 201 and performs the power generation output Gk determination processing for the next time.

Next, the processing procedure of the energy supply system 1 will be described in detail. FIGS. 3, 4, 5, and 6 are flowcharts showing the processing procedure of the energy supply system 1.

As shown in FIG. 3, the computer 4 of the control center 3 retrieves weather-related data from a network 9 such as the Internet, for example.
5-2, 5-3, future temperature prediction and weather prediction at the location of each of the customers 7-1, 7-2, 7-3 are performed, and temperature prediction data and weather prediction data are extracted. The temperature prediction data, the weather prediction data, and the like are used for the determination of the tentative determination of the power generation output described later (step 301). For example, when the temperature decreases on the power generation device 6 side, the power generation efficiency increases and the power generation output also increases.
On the customer 7 side, the demand power decreases when the weather is bad in summer, and the demand power increases when the weather is bad in winter.

The computer 4 uses the power demand trend data 15, which is past power demand actual data, stored in the database 13 for each of the power generators 6-1, 6-2, 6-2, for example, on the same day of the same month in the previous year. Power demand data is searched, and heat demand trend data 16 which is past heat demand data is retrieved.
And retrieve heat demand data for the same day of the same month of the previous year.

Next, power demand trend data and power demand prediction will be described. FIG. 7 shows the power demand trend data 31 and the prediction of the power demand. As shown in FIG.
The vertical axis indicates the power demand output D (KW), and the horizontal axis indicates the time of day. The power demand trend data 31 is power demand data of the customer 7 on the same day of the same month in the previous year. The power demand data 31 on the same day of the previous year rose from around 6:00 in the morning,
It falls from around 12:00 to around 13:00 in the afternoon, rises again, and falls past 17:00 in the evening. The power demand data on the same day of the same month in the previous year is the current (today) power demand data 3
3 is used for judgment to predict. Similarly, heat demand trend data, such as heat demand data on the same day of the same month in the previous year, is used to determine the prediction of heat demand data.

The computer 4 stores the database 1
3, the power generation efficiency data 17 and the exhaust heat efficiency data 18 corresponding to the predicted temperature, the load, etc. of each of the power generation devices 6-1, 6-2, 6-3 are searched and extracted (step 302).

Next, the relationship between the power generation output G representing the power generation efficiency data and the power generation efficiency η will be described. FIG. 8 is a diagram illustrating a relationship between the power generation output G and the power generation efficiency η. As shown in FIG. 8, the vertical axis represents the power generation efficiency η (%), and the horizontal axis represents the power generation output G (KW).
For example, when the power generation output G is the rated output 24, the power generation efficiency η
Is 30%. The power generation efficiency of 30% means that 30% of the fuel 100 is generated power.

Next, the relationship between the power generation output G representing the exhaust heat efficiency data and the exhaust heat efficiency γ will be described. FIG. 9 is a diagram showing the relationship between the power generation output G and the exhaust heat efficiency γ. As shown in FIG. 9, the vertical axis represents the exhaust heat efficiency γ (%), and the horizontal axis represents the power generation output G (KW).
For example, when the power generation output G is the rated output 26, the power generation efficiency γ
Is 26%.

The computer 4 outputs the current power output Gk and the exhaust heat output Hk (k = k) measured from the power generators 6-1, 6-2 and 6-3 on the supplier 5 side via the network 9.
1, 2, 3) and the like are received (step 303).

The computer 4 outputs a current demand output D measured from the wattmeters 8-1, 8-2, 8-3 on the customer 7 side.
k (k = 1, 2, 3) and the like are received (step 30).
4).

The computer 4 receives the temperature forecast data, the weather forecast data, the power demand trend data 15, which is the power demand data of the same month of the previous year, the current demand output Dk, the heat demand data of the same month of the previous year, and the like. The heat demand and the power demand of each customer 7-1, 7-2, 7-3 are predicted using the judgment data such as the heat demand trend data 16 and the exhaust heat efficiency data 18 (step 305).

The computer 4 determines the temperature forecast data, the weather forecast data, the power demand trend data 15, which is the power demand data of the same month in the previous year, the current power generation output Gk, the current power demand Dk, the power generation efficiency data, and the like. Based on the data and the predicted heat demand, power demand, and the like, each of the power generators 6-1, 6-2, 6- for the next predetermined time (for example, the next one minute)
The power generation output Gk of No. 3 is temporarily set. (Step 306).
Note that the limiting condition is ΣGk = ΣDk (k = 1, 2, 3).

As shown in FIG. 4, the tentatively determined power output G
The predicted exhaust heat output Hk from each of the power generators 6-1, 6-2, 6-3 for k is calculated (step 307).
The current exhaust heat output Hk is used for correcting whether or not the exhaust heat is actually output as predicted.

The computer 4 generates the power generation devices 6-1 and 6--6 for each of the provisionally determined power generation outputs Gk (k = 1, 2, 3).
The power generation efficiency ηk of 2, 6-3 is calculated using the power generation efficiency data 17 (step 308).

Power generation output Gk (KW), power generation efficiency ηk
(%) From the fuel cost unit price per 1 KW (yen / KW),
Fuel cost: Fk = Gk / αk × fuel cost (yen / KW) is calculated (step 309). For example, the power generation output Gk,
If the power generation efficiency is 30% and the fuel cost is K1 (yen / KW), the fuel cost is Fk = Gk / 0.3 × K1. If all the heat demand cannot be covered by the exhaust heat output Hk of the power generator 6, the fuel cost for burning the boiler or the like for the supplement is further added to the fuel cost Fk (step 310).

The total fuel cost Fk of the power generators 6-1, 6-2, and 6-3 of the suppliers 5-1, 5-2, and 5-3 ΣF
k (k = 1, 2, 3) is calculated (step 311).

The computer 4 calculates the power generation output Gk from (maintenance cost Mk) ∝ (operating time of the power generator 6).
The operation time H1 (h) corresponding to
Assuming that the cost per operation time of inspection is K2 (yen / h), M
k = K2 × H1, (However, when the power generation device 6 starts power generation, 1
Since counting is performed five times per time, Mk = K2 × (H1 + 5n) with respect to the number of times of activation n (step 312).

Calculate the total maintenance cost ΣMk (k = 1, 2, 3) of the power generators 6-1, 6-2, 6-3 of the suppliers 5-1, 5-2, 5-3 (k = 1, 2, 3). Step 31
3).

The computer 4 calculates (the amount of emitted CO2) ∝
From the (fuel amount), each power generation output Gk (k = 1, k = 1,
Calculate the amount of exhausted CO2 Xk for 2, 3). That is, assuming that the fuel amount is Lk and the unit of CO2 emission of fuel (for example, city gas) is xg, the amount of emitted CO2: Xk = Lk × x
g (step 314).

(Calculated emission CO2 amount Xk) ∝ (1 kg
CO2 per unit (yen / kg))
The quantity is converted to cost Vk (step 315). The power generators 6-1, 6-2 of each of the suppliers 5-1, 5-2, 5-3,
6-3 total CO2 cost Vk ΣVk (k = 1,
2, 3) are calculated (step 316).

Similarly, as shown in FIG. 5, the computer 4 calculates the emission NOx for each power generation output Gk (k = 1, 2, 3) temporarily determined from (the emission NOx amount) ∝ (the fuel amount).
Calculate the quantity Yk. That is, assuming that the fuel amount Lk and the fuel (for example, city gas) NOx emission basic unit yg, the emission NOx amount: Yk = Lk × yg (step 31)
7).

(Calculated exhaust NOx amount Yk) ∝ (NOx
The amount of exhausted NOx is converted to a cost Uk based on the cost for denitration for removing (NO in step 318). Each supplier 5-
1, 5-2, 5-3 power generators 6-1, 6-2, 6-3
Emission NOx cost Uk total ΣUk (k = 1, 2,
3) is calculated (step 319).

The computer 4 calculates the water usage Zk such as cooling water used at the time of power generation (step 320), and calculates the water usage cost Wk from (water usage Zk) ｋ (unit price of water bill).
(Step 321). Each supplier 5-1 and 5-
The total ΣWk (k = 1, 2, 3) of the water use costs Wk of the power generators 6-1, 6-2, 6-3 of 2, 5-3 is calculated (step 322).

The computer 4 sums the fuel cost ΣFk, maintenance cost ΣMk, emission CO2 cost ΣVk, emission NOx cost ΣUk, water usage cost ΣWk, etc.
The total cost C is calculated (step 323).

As shown in FIG. 6, the temporarily determined power generation output G
If the total cost C for k is not minimum (step 3
24), reset the power generation output Gk (k = 1, 2, 3) (step 325), and proceed to step 307. For example, for G1, G2, and G3, which are provisionally determined, {Gk = {
With Dk (k = 1, 2, 3) as a limiting condition, G1 + Δ, G2-Δ, G3 G1 + Δ, G2, G3-Δ G1, G2 + Δ, G3-Δ:: (where Δ is an adjustment constant) and power generation output Gk (k = 1,
2, 3) are sequentially set, the total cost C is calculated, and Gk (k = 1, 2,
Choose 3).

When the total cost C for the power generation output Gk is the minimum (step 324), the computer 4 determines the power generation output Gk (step 326). Computer 4
Are connected via the network 9 to each of the suppliers 5-1 and 5-
The power generation output Gk is transmitted to the power generation devices 6-1, 6-2, and 6-3 of 2, 5-3 (step 327). Computer 4
Returns to step 301 to perform the power generation output Gk determination processing for the next time.

As described above, according to the present embodiment, the computer 4 of the control center 3 predicts the temperature and the weather, and stores the power demand trend data 1 as built-in accumulated data.
5, heat demand trend data 16, power generation efficiency data 17,
The thermal efficiency data 18 and the like are searched, and each of the power generators 6-1 and 6-
The current power generation output Gk and exhaust heat output H measured at 2, 6-3
k, etc., and the current demand output Dk, etc., measured by the wattmeters 8-1, 8-2, 8-3 of each customer 7 via the network 9. The computer 4 determines, based on these data, each of the power generators 6-1, 6-2, 6-
Tentatively determined the power generation output Gk of the fuel cell 3, the fuel cost, the maintenance cost, and the emission C of the power generator 6 for each power generation output Gk.
The O2 cost, the emission NOx cost, the water use cost, and the like are calculated, and the total cost C, which is the sum of the costs, is calculated. When the total cost C with respect to the temporarily determined power generation output Gk is the minimum, the computer 4 determines the power generation output Gk and transmits it to each of the power generation devices 6-1, 6-2, 6-3.

As a result, since the communication means is inexpensive, the power demands of the plurality of customers 7 can be easily obtained, and the cost of the specific-scale electricity business is greatly reduced, thereby increasing the reality of the business. In addition, by performing comprehensive control in consideration of the power demand of each customer 7, the energy saving of the entire system is improved.

In this embodiment, the environmental evaluation substance C
Although the cost conversion based on the removal cost and the like is performed based on the emission amount of O2, NOx, and the like, the cost conversion may be performed based on the emission credit transaction of the environmental assessment substances CO2 and NOx.

In the present embodiment, the power demand trend data 15, the heat demand trend data 16, and the like are stored in the database 13 of the control center 3, but may be transmitted from each customer 7. Further, in the present embodiment, the temperature prediction and the weather prediction are performed using the data on the network 9, but the temperature data and the weather data may be transmitted from each supplier 5 side and each customer 7 side. .

The program for performing the processes shown in FIGS. 3, 4, 5, and 6 may be distributed by being stored in a recording medium such as a CD-ROM, or may be transmitted and received via a communication line. it can.

[0052]

As described above in detail, according to the present invention, it is possible to provide an energy supply system for controlling power generation equipment so as to meet power demand at low cost and to maximize energy efficiency. .

[Brief description of the drawings]

FIG. 1 is a diagram showing a schematic configuration of an energy supply system 1 according to an embodiment of the present invention.

FIG. 2 is a diagram showing the overall processing flow of the energy supply system 1.

FIG. 3 is a flowchart showing a processing procedure of the energy supply system 1.

FIG. 4 is a flowchart showing a processing procedure of the energy supply system 1.

FIG. 5 is a flowchart showing a processing procedure of the energy supply system 1.

FIG. 6 is a flowchart showing a processing procedure of the energy supply system 1.

FIG. 7 is a diagram showing power demand trend data 31 and prediction of power demand.

FIG. 8 is a diagram showing a relationship between a power generation output G and a power generation efficiency η.

FIG. 9 is a diagram showing the relationship between the power generation output G and the exhaust heat efficiency γ.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 ... Energy supply system 3 ... Control center 4 ... Computer 5 ... Supplier 6 ... Generating device 7 ... Consumer 8 ... Wattmeter 9 ... Network 10 … Power company transmission line

 ──────────────────────────────────────────────────続 き Continued on the front page F term (reference) 5G064 AA07 AB03 AC05 AC08 CB03 CB13 DA01 5G066 AA02 AA03 AA05 AE01 AE03 AE09

Claims (11)

[Claims] 1. A system for supplying energy between energy production facilities of a plurality of energy suppliers and a plurality of energy consumers via an energy supply network, wherein an energy amount of the energy production facility is controlled. The energy manufacturing equipment transmits the measured current supplied energy amount to the center computer via a network, and the measuring means for measuring the energy consumption amount on the energy consumer side comprises a network. Via the center computer transmits the measured current demand energy amount to the center computer, based on the received supply energy amount and the demand energy amount, the total of the energy supply costs of each energy supplier is the minimum. Determine the energy supply amount for the next predetermined time The energy supply system characterized by comprising transmitting the energy supply to the each energy production facility. 2. The energy supply system according to claim 1, wherein the energy is electricity or the like. 3. The energy supply system according to claim 1, wherein the energy production facility is a power generator or the like. 4. The energy supply system according to claim 1, wherein the energy supply cost is a total of a fuel cost, a maintenance cost, a cost-converted amount of an emission amount of the environmental assessment substance, and the like. 5. A center computer connected via a network to energy production facilities of a plurality of energy suppliers, energy measuring means of a plurality of energy consumers, and a current supply received from the energy production facility. Based on the energy amount and the current demand energy amount received from the energy measuring means, determine the energy supply amount for the next predetermined time when the total of the energy supply costs of the energy suppliers is minimized, A center computer, which transmits the information to the energy production facilities. 6. The center according to claim 5, wherein the energy supply amount is determined using past energy performance data, temperature prediction, weather prediction, energy efficiency, exhaust heat utilization rate, and the like as determination data. Computer. 7. The center computer according to claim 5, wherein the energy is electricity or the like. 8. The center computer according to claim 5, wherein the energy production equipment is a power generation device or the like. 9. The center computer according to claim 5, wherein the energy supply cost is a total of a fuel cost, a maintenance cost, a cost-converted amount of an emission amount of the environmental assessment substance, and the like. 10. A center computer connected via a network to energy production facilities of a plurality of energy suppliers, energy measurement means of a plurality of energy consumers, and a current supply received from the energy production facility. Based on the energy amount and the current demand energy amount received from the energy measuring means, determine the energy supply amount for the next predetermined time when the total of the energy supply costs of the energy suppliers is minimized, Which is transmitted to each of the energy production facilities. 11. A center computer connected via a network to an energy production facility of a plurality of energy suppliers, energy measuring means of a plurality of energy consumers, and a current supply received from the energy production facility. Based on the energy amount and the current demand energy amount received from the energy measuring means, determine the energy supply amount for the next predetermined time when the total of the energy supply costs of the energy suppliers is minimized, And transmitting the program to each of the energy production facilities.