KR20200105239A - Method for operating of heat trading network through power follow-up type of combined heat and power generator and system using the same - Google Patents

Abstract

Provided are a method for operating heat trading networks through a power tracking method of a combined heat and power generator and a system thereof. The method for operating heat trading networks according to embodiments of the present invention comprises the following steps of: calculating each of receiving power cost and operating profit/loss cost according to a demand prediction model of previously generated electric power; and selecting a specific operating scenario from among previously registered operating scenarios according to a time series condition or a comparison result of the receiving power cost and the operating profit/loss cost. Therefore, the operating profit/loss cost of the combined heat and power generator is calculated according to the demand prediction model of electric power, wherein the operating profit/loss cost includes, in addition to electricity price, reduction of heat usage charge through use of heat energy, heat sales revenue through heat trading with nearby customers, basic charge reduction through peak management, and the like. In addition, an operating scenario of the combined heat and power generator is selected according to a calculated result, thereby maximizing economic benefits when operating the combined heat and power generator.

Description

Method for operating of heat trading network through power follow-up type of combined heat and power generator and system using the same}

The present invention relates to a method and system for operating a thermal transaction network, and more particularly, to a method and system for operating a thermal transaction network through a power tracking method of a combined heat and power generator.

In the industrial sector, which accounts for more than half of domestic energy consumption, the share of industrial complexes occupies more than 60%, but the overall energy use rate in the industrial complex compared to energy saving efforts of unit factories such as installing energy-efficient devices and introducing energy optimization solutions. The ripple effect on improvement is insufficient.

As shown in FIG. 1, the industrial complex 10 where the cogeneration generator is located receives electricity from KEPCO, which corresponds to the electricity supplier 40, and receives gas from the city gas supplier 30 and uses it in various processes. Due to the nature of an industry that uses a lot of heat energy, it is necessary to have a preliminary heat source production facility in addition to the supply facility when supplying heat energy to the outside, and to maintain it, additional maintenance and equipment costs are required by operating it at least once a week.

Therefore, when a combined heat and power generator corresponding to the supply source 10 that simultaneously produces electricity and heat is introduced into an industry, electricity of the combined heat and power generator is consumed by itself, and the generated arrangement is self-consumption and the customer with a heat pipe connected from the supply source 10 It is possible to utilize energy without loss by supplying it to neighboring industries under (20). At this time, the customer 20 may receive heat in the form of steam or hot water.

In particular, by trading surplus heat energy, it is possible to prevent overlapping investments in heat source production facilities for each industry, and through a mesh network structure that produces and exchanges energy between industries compared to a central supply network through the District Heating Corporation Diffusion is possible, and the energy utilization rate of the entire industrial complex can be improved.

However, in the case of a combined heat and power generator, since the conventional economic evaluation is made in consideration of the correlation between the electricity price and the gas price, when the gas price, which is the primary fuel, reverses the price of electricity produced through the cogeneration generator, Since the operation of the generator is stopped and electricity is received and consumed from the electricity supplier 40, the utilization rate of the combined heat and power generator is reduced, and accordingly, the utilization rate of the total energy is reduced.

Therefore, in addition to the price of electricity produced through gas fuel and generators, the cost of heat and power generation is reduced through the use of heat energy, heat sales revenue through heat transactions with nearby customers, and basic rate reduction through peak management. By evaluating the economic feasibility, the utilization rate of the combined heat and power generator is improved, and it is required to find a way to improve energy efficiency and economic efficiency through the efficient operation of the combined heat and power generator.

The present invention was conceived to solve the above problems, and an object of the present invention is to pay the operating profit and loss cost of the cogeneration generator according to the electric power demand prediction model, but the operating profit and loss cost includes heat use through the use of heat energy in addition to the electricity price. Power tracking method of cogeneration generators that calculates including rate reduction, heat sales revenue through heat transactions with nearby customers, and basic rate reduction through peak management, and selects the operation scenario of the cogeneration generator according to the calculated result. It is to provide a method and system for operating a thermal transaction network through

According to an embodiment of the present invention for achieving the above object, a method of operating a thermal transaction network includes calculating a power reception cost and an operating profit/loss cost according to a demand prediction model of a previously generated power; And selecting a specific operating scenario from among the previously registered operating scenarios according to a time series condition or a comparison result of the receiving power cost and the operating profit and loss cost.

In addition, the previously registered operation scenario is the first operation scenario in which the combined heat and power generator is operated at all times corresponding to the maximum load and the intermediate load, and the combined heat and power generator is always operated in the time corresponding to the maximum load, but the time corresponding to the intermediate load. Is one of the second operating scenario in which the cogeneration generator operates only in the time zone exceeding the first chargeable power according to the demand forecast model, and the third operating scenario in which the cogeneration generator operates only in the time zone exceeding the first chargeable power. It can be an operational scenario.

In addition, the first charge-applied power may be calculated by subtracting the amount of power that can be supplied through the operation of the cogeneration generator from the existing charge-applied power.

In addition, the operating profit and loss cost is calculated by summing up the cost of saving electricity, steam saving, and sales of heat energy obtained through the operation of the combined heat and power generator, and subtracting the power generation heat output cost and maintenance cost used for the operation of the combined heat and power generator. can do.

In addition, electricity saving cost is calculated by multiplying VAT by the result of summing the basic rate savings and the amount of electricity savings, but the basic rate savings is calculated by multiplying the first rate applied electricity and the basic rate. It can be calculated by multiplying the total generator capacity and operating hours.

And the power generation heat output cost is calculated by subtracting the safety management burden exemption again from the result of deducting the oil charge refund from the gas usage charge, but the gas usage charge is calculated by multiplying the gas consumption and the gas charge, and the oil charge refund is , It is calculated by multiplying the gas consumption and the oil charge, and the safety management burden exemption can be calculated by multiplying the gas consumption and the safety management charge.

In addition, the steam saving cost can be calculated by multiplying the result of dividing the amount of steam heat generated by the amount of city gas generated by the gas price, and the cost of selling heat energy by multiplying the result of dividing the amount of heat generated by the amount of heat generated by the city gas by multiplying the result of the hot water charge and commission.

In addition, the heat energy sales cost is calculated by multiplying the result of dividing the amount of heat generated by the amount of heat generated by the city gas by the amount of heat generated by the city gas and multiplied by the hot water charge and the fee, and may be corrected according to the demand pattern and price combination of the customer price of heat energy.

In addition, the step of selecting a specific operating scenario is, when selecting a specific operating scenario according to the time series condition, in the spring (3, 4, May) and autumn (September, October), the third operating scenario rather than the first operating scenario However, in summer (June, July, August) and winter (11, 12, January, February), the first operation scenario can be selected preferentially over the third operation scenario.

On the other hand, according to another embodiment of the present invention, a thermal transaction network operating system includes: a demand prediction model management unit that generates a demand prediction model of power; And calculating the cost of receiving power and operating profit and loss according to the demand prediction model of the generated power, respectively, and selecting a specific operating scenario from among the previously registered operating scenarios according to the time series condition or the comparison result of the receiving power cost and operating profit and loss cost. Operation scenario management unit; includes.

On the other hand, according to another embodiment of the present invention, a method for operating a thermal transaction network includes generating a plurality of models for predicting demand for electric power; Selecting a specific demand prediction model from among a plurality of demand prediction models according to a time series condition; Calculating a receiving power cost and operating profit and loss cost, respectively, according to the selected demand prediction model; And selecting a specific operating scenario from among the previously registered operating scenarios according to a time series condition or a comparison result of the receiving power cost and the operating profit and loss cost.

Meanwhile, according to another embodiment of the present invention, a system for operating a thermal transaction network includes: a demand prediction model management unit that generates a plurality of demand prediction models of power and selects a specific demand prediction model from among a plurality of demand prediction models according to time series conditions; And an operation scenario management unit that calculates the power receiving power cost and the operating profit and loss cost according to the selected demand prediction model, and selects a specific operation scenario among the previously registered operation scenarios according to a time series condition or a comparison result of the power reception power cost and operation profit and loss cost. Includes.

As described above, according to the embodiments of the present invention, the operating profit and loss cost of the combined heat and power generator is calculated according to the electric power demand prediction model, but in addition to the electricity price, the cost of using heat is reduced through the use of heat energy in addition to the cost of operation. It is calculated by including heat sales revenue through heat transaction with and base rate reduction through peak management, and by selecting the operation scenario of the cogeneration generator according to the calculated result, the economic benefit is maximized when operating the cogeneration generator. I can.

1 is a diagram illustrating a factory in which a cogeneration generator is installed in a conventional industrial complex and a customer connected to a heat pipe;
2 is a diagram provided to explain a method of operating a heat transaction network through a power tracking method of a combined heat and power generator according to an embodiment of the present invention;
3 is a diagram illustrating a calculation result of an operating time of a combined heat and power generator for each operating scenario in a method of operating a heat transaction network through a power tracking method of a combined heat and power generator according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating a calculation result by converting a profit or loss per kw per kw in a method of operating a heat transaction network through a power tracking method of a combined heat and power generator according to an embodiment of the present invention;
5 is a diagram illustrating a result of summarizing profits and losses for each detailed item when the cogeneration generator is always operated in the method of operating a heat transaction network through the power tracking method of the cogeneration generator according to an embodiment of the present invention;
6 is a diagram illustrating a result of calculating a profit or loss for each operating scenario of a method of operating a heat transaction network through a power tracking method of a cogeneration generator according to an embodiment of the present invention;
7 is a diagram provided to explain a heat transaction network operating system through a power tracking method of a cogeneration generator according to another embodiment of the present invention, and
8 is a diagram provided to explain a method of operating a heat transaction network through a power tracking method of a combined heat and power generator according to another embodiment of the present invention.

Hereinafter, the present invention will be described in more detail with reference to the drawings.

FIG. 2 is a diagram provided to explain a method of operating a heat transaction network through a power tracking method of a combined heat and power generator according to an embodiment of the present invention (hereinafter, collectively referred to as a'heat transaction network operation method').

In the method of operating a heat transaction network through the power tracking method of the cogeneration generator according to an embodiment of the present invention, the operating profit and loss cost of the cogeneration generator is calculated according to the electric power demand prediction model. It is calculated by including reduction of usage fees, heat sales revenue through heat transactions with nearby customers, and reduction of basic rates through peak management, and the operation scenario of the combined heat and power generator can be selected according to the calculated results.

To this end, a method of operating a heat transaction network through a power tracking method of a combined heat and power generator may generate a power demand prediction model (S210).

For example, a demand forecasting model can be created with a quantitative technique centered on the calculation method and a qualitative technique having a subjective character according to the calculation method.

The first demand forecasting model created by the qualitative forecasting method is the Delphi method, market research method, expert opinion method, historical analogy method, salesperson's opinion forecast method, etc., which are subjective forecasting methods used when predicting long-term changes in the future or in the absence of data. It can be created using

In addition, the second demand forecasting model generated by the quantitative forecasting technique is a time series method that predicts future demand by largely grasping the pattern of demand over time, and the future demand through a causal relationship between the factors affecting demand and demand. It can be generated using a causal prediction technique that predicts.

And when the demand prediction model is generated, the receiving power cost is calculated (S220), the operating profit and loss cost is calculated (S230), the receiving power cost and the operating profit and loss cost are compared (S240), and the time series condition among the previously registered operation scenarios Alternatively, a specific operating scenario may be selected according to the comparison result (S250).

At this time, the previously registered operation scenario is the first operation scenario in which the combined heat and power generator is operated at all times corresponding to the maximum load and the intermediate load, and the combined heat and power generator operates at all times during the time corresponding to the maximum load. The time zone is one of the second operating scenario in which the cogeneration generator operates only in the time zone exceeding the first chargeable power according to the demand forecast model, and the third operating scenario in which the cogeneration generator operates only in the time zone exceeding the first chargeable power in accordance with the demand forecasting model. May be an operating scenario of.

In addition, the time series condition may be a condition set according to a season, month, time, and day of the week in which the combined heat and power generator is operated. In addition, the received power cost is not directly calculated, and information on the received power cost can be obtained and used from the outside.

On the other hand, the operating time of the cogeneration generator for each operating scenario may be calculated differently, and the calculation result obtained by calculating the operating time of the cogeneration generator for each operating scenario is as illustrated in FIG. 3.

The results illustrated in FIG. 3 do not include Sundays and holidays when the light load rate plan is applied, and the third operating scenario operates only when the modified rate of electricity is exceeded based on the actual electricity demand used in 2017. It was written under the standards. In this case, it can be calculated by subtracting the amount of power that can be supplied through the operation of the combined heat and power generator from the existing charge-applied power.

FIG. 4 is a diagram illustrating a calculation result by converting profit and loss according to a monthly fee to per kw in a method of operating a thermal transaction network according to an embodiment of the present invention, and FIG. 5 is a thermal transaction according to an embodiment of the present invention. In the network operation method, when the cogeneration generator is operated at all times, the figure shows the result of summarizing the profit and loss for each detailed item.

In the method of operating a heat transaction network according to an embodiment of the present invention, using the results illustrated in FIG. 5, the cost of saving electricity, steam saving, and sales of heat energy obtained through the operation of the combined heat and power generator is summed, and the combined heat and power generator The operating profit and loss cost can be calculated by subtracting the power generation heat output cost and maintenance cost used for the operation of the machine.

For example, conventionally, by evaluating economic feasibility by considering only gas and electricity rates as shown in FIG. 4, since gas rates are higher than electricity rates at all times, even if all the heat generated by steam is used, winter (11, 12) , January, February) and summer (June, July, August), except for the maximum load time, the result was that damage could occur, so the operation of the combined heat and power generator could be limited.

However, in the method of operating a heat transaction network according to an embodiment of the present invention, the electricity cost reduction cost, the steam saving cost, and the heat energy sales cost obtained through the operation of the combined heat and power generator are summed, and the generated heat output used for the operation of the combined heat and power generator. By subtracting cost and maintenance cost to calculate the operating profit and loss cost, it is possible to improve the economic benefits of the generator operation through peak management of the load.

At this time, the electricity saving cost is calculated by multiplying the VAT by the result of summing the basic rate savings and the amount of electricity savings, but the basic rate savings is calculated by multiplying the first rate applied electricity and the basic rate. It can be calculated by multiplying the total generator capacity and operating hours.

In addition, the power generation heat output cost is calculated by subtracting the safety management burden exemption again from the result of deducting the oil surcharge from the gas consumption fee, but the gas consumption fee is calculated by multiplying the gas consumption amount and the gas fee, and the oil surcharge refund amount. It is calculated by multiplying silver and gas consumption by oil charges, and the safety management burden exemption can be calculated by multiplying gas consumption and safety management fees.

In addition, the steam reduction cost can be calculated by multiplying the result of dividing the amount of heat generated by steam by the amount of city gas generated by the gas rate, and the cost of selling heat energy by multiplying the result of dividing the amount of heat generated by the amount of heat generated by the city gas by multiplying the hot water rate and commission. In addition, the heat energy sales cost may be calculated by multiplying the result of dividing the amount of heat generated by the amount of heat generated by the city gas by the amount of heat generated by the city gas and multiplied by the hot water fee and the fee, and may be corrected according to the demand pattern and price combination of the customer price of the heat energy.

Through this, as illustrated in FIG. 6, by calculating the result of calculating the profit and loss for each operating scenario of the method of operating the thermal transaction network, and considering the calculation result of the operating profit and loss cost and the calculation result of the profit and loss, a specific operation scenario is preferentially selected. The gain can be improved.

For example, in the method of operating a thermal transaction network according to an embodiment of the present invention, in the case of selecting a specific operating scenario according to a time series condition or a comparison result of the power reception cost and operating profit and loss cost, spring (March, April, May) In autumn and fall (September, October), the third operating scenario should be selected prior to the first operating scenario, but in summer (June, July, August) and winter (11, December, January, February) the third operation By allowing the first operating scenario to be selected preferentially over the scenario, the economic benefit can be improved.

7 is a diagram provided to explain a thermal transaction network operating system according to another embodiment of the present invention. The thermal transaction network operating system according to an embodiment of the present invention includes a communication unit 110, a demand prediction model management unit 120, an operation scenario management unit 130, and a storage unit 140.

The communication unit 110 is a communication means for transmitting and receiving data by being communicated with an external server and device, and the storage unit 140 provides a storage space necessary for the operation of the demand prediction model management unit and the operation scenario management unit. It is a storage medium.

The demand prediction model management unit 120 is provided in order to generate a demand prediction model for electric power in a method of operating a heat transaction network through a power tracking method of a combined heat and power generator.

Specifically, for example, the demand prediction model management unit 120 may generate a plurality of demand prediction models, and select a specific demand prediction model from among a plurality of demand prediction models generated according to time series conditions.

The operation scenario management unit 130 calculates the power reception cost, calculates the operation profit and loss cost, compares the power reception power cost and the operation profit and loss cost, and selects a specific operation scenario according to a time series condition or comparison result among the previously registered operation scenarios. You can choose.

For example, the operation scenario management unit 130 obtains the power receiving power cost through the communication unit 110, adds up the electricity cost reduction cost, steam reduction cost, and heat energy sales cost obtained through the operation of the cogeneration generator, and The operating profit and loss cost can be calculated by subtracting the power generation heat output cost and maintenance cost used for the operation of the generator.

8 is a diagram provided to explain a method of operating a thermal transaction network according to another embodiment of the present invention. The method of operating a thermal transaction network according to an embodiment of the present invention may generate a plurality of demand prediction models for power (S810), and select a specific demand prediction model from among a plurality of demand prediction models generated according to time series conditions ( S820).

And when the demand prediction model is generated, the receiving power cost is calculated (S830), the operating profit and loss cost is calculated (S840), the receiving power cost and the operating profit and loss cost are compared (S850), and the time series condition among the previously registered operation scenarios Alternatively, a specific operating scenario may be selected according to the comparison result (S860).

Meanwhile, it goes without saying that the technical idea of the present invention can be applied to a computer-readable recording medium containing a computer program that performs functions of the apparatus and method according to the present embodiment. Further, the technical idea according to various embodiments of the present disclosure may be implemented in the form of a computer-readable code recorded on a computer-readable recording medium. The computer-readable recording medium can be any data storage device that can be read by a computer and can store data. For example, a computer-readable recording medium may be a ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical disk, hard disk drive, or the like. Also, a computer-readable code or program stored in a computer-readable recording medium may be transmitted through a network connected between computers.

In addition, although the preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present invention claimed in the claims. In addition, various modifications are possible by those of ordinary skill in the art, and these modifications should not be individually understood from the technical spirit or prospect of the present invention.

10: Supplier
20: customer
30: City gas supplier
40: electricity supplier
110: communication department
120: Demand prediction model management unit
130: Operation scenario management department
140: storage unit

Claims (12)

Calculating a receiving power cost and an operating profit and loss cost, respectively, according to a demand prediction model of the generated electric power; And
A method of operating a thermal transaction network comprising: selecting a specific operating scenario from among the previously registered operating scenarios according to a time series condition or a comparison result of the receiving power cost and operating profit and loss cost.
The method according to claim 1,
The previously registered operating scenarios are:
The first operation scenario in which the combined heat and power generator is operated at all times corresponding to the maximum load and the intermediate load, and the combined heat and power generator operates at all times during the time corresponding to the maximum load. Accordingly, heat, characterized in that it is any one of a second operating scenario in which only a time period exceeding the first charge applied power is operated and a third operation scenario in which the combined heat and power generator operates only in a time period exceeding the first charge applied power How to operate a trading network.
The method according to claim 2,
The power applied to the first rate is:
A method of operating a thermal transaction network, characterized in that calculating by subtracting the amount of power that can be supplied through the operation of a combined heat and power generator from the existing chargeable power.
The method of claim 3,
The operating profit and loss cost is,
Heat, characterized in that it is calculated by summing electricity cost savings, steam savings, and heat energy sales costs obtained through the operation of the cogeneration generator, and subtracting the power generation heat output cost and maintenance cost used for the operation of the cogeneration generator. How to operate a trading network.
The method of claim 4,
The cost of saving electricity is,
Calculated by multiplying the VAT by the result of summing the basic rate savings and electricity savings,
The basic rate savings are:
It is calculated by multiplying the power applied to the first rate and the basic rate,
The amount of energy saving is,
A method of operating a thermal transaction network, characterized in that calculated by multiplying the hourly rate, the total capacity of the combined heat and power generator, and the operating time.
The method of claim 4,
The cost of generating heat output is,
It is calculated by deducting the safety management burden exemption again from the result of deducting the oil surcharge refund from the gas consumption rate,
The gas consumption fee is,
It is calculated by multiplying gas consumption by gas rate,
Refunds for oil charges,
It is calculated by multiplying gas consumption and oil charges,
Safety management burden exemption fee,
A method of operating a thermal transaction network, characterized in that it is calculated by multiplying the gas consumption and the safety management charge.
The method of claim 4,
The cost of saving steam is
It is calculated by multiplying the result of dividing the amount of steam generated by the amount of city gas generated by the gas rate,
The cost of selling heat energy is,
A method of operating a heat transaction network, characterized in that calculating by multiplying the result of dividing the heating amount of hot water by the heating amount of city gas and multiplying the hot water fee and commission.
The method of claim 7,
The cost of selling heat energy is,
A method of operating a heat transaction network, characterized in that the result of dividing the amount of heat generated by hot water by the amount of heat generated by city gas is calculated by multiplying the hot water charge and fee, and correcting according to the demand pattern and price combination of the customer of the heat energy.
The method according to claim 2,
The steps to select a specific operating scenario are:
In the case of selecting a specific operating scenario according to the time series conditions, in the spring (3, 4, May) and autumn (September, October), the third operating scenario should be selected prior to the first operating scenario, but in the summer (6, July and August) and winter (11, 12, January, February), the thermal transaction network operating method, characterized in that the first operating scenario is selected preferentially over the third operating scenario.
A demand prediction model management unit that generates a demand prediction model of power; And
Operation that calculates the power reception cost and operating profit and loss cost respectively according to the demand forecasting model of the generated power, and selects a specific operation scenario from among the previously registered operating scenarios according to the time series condition or the comparison result of the power reception power cost and the operating profit and loss cost Scenario management unit; Thermal transaction network operating system including.
Generating a plurality of power demand prediction models;
Selecting a specific demand prediction model from among a plurality of demand prediction models according to a time series condition;
Calculating a receiving power cost and operating profit and loss cost, respectively, according to the selected demand prediction model; And
A method of operating a thermal transaction network comprising: selecting a specific operating scenario from among previously registered operating scenarios according to a time series condition or a comparison result of the power reception cost and operating profit and loss cost.
A demand prediction model management unit that generates a plurality of demand prediction models of electric power and selects a specific demand prediction model from among the plurality of demand prediction models according to a time series condition; And
An operation scenario management unit that calculates the power reception cost and operating profit and loss cost according to the selected demand prediction model, and selects a specific operation scenario from among the previously registered operation scenarios according to a time series condition or a comparison result of the power reception power cost and operation profit and loss cost; Thermal transaction network operating system including.

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