WO2021132795A1

WO2021132795A1 - Method for managing smart energy combining cogeneration facility and renewable energy source

Info

Publication number: WO2021132795A1
Application number: PCT/KR2020/001322
Authority: WO
Inventors: 김용하
Original assignee: (주)제이에이치에너지; 인천대학교 산학협력단
Priority date: 2019-12-26
Filing date: 2020-01-29
Publication date: 2021-07-01
Also published as: KR102117672B1

Abstract

The present invention relates to a method for managing smart energy in which a cogeneration facility (existing collective energy facility) and a renewable energy source are combined, and specifically, to a method for managing smart energy combining a cogeneration facility and a renewable energy source, in which the thermal input limit capacity of a renewable energy source is calculated to reflect optimal management of the cogeneration facility which is an existing collective energy facility, and the amount of the renewable energy source that is supplied when supplying energy with a newly input heat load is determined on the basis of the calculated thermal input limit capacity of the renewable energy source so as to achieve optimal management of the cogeneration facility.

Description

Combined cogeneration facility and renewable energy source smart energy operation method

The present invention relates to a smart energy operation method in which a cogeneration facility (existing collective energy facility) and a new renewable energy source are combined. Specifically, the thermal power of the new and renewable energy source is reflected by reflecting the optimal operation of the cogeneration facility, which is an existing collective energy facility. Combined heat and power facilities that realize optimal operation of cogeneration facilities by calculating the input limit capacity and determining the supply amount of new and renewable energy sources based on the calculated limit thermal input capacity of the new and renewable energy sources when energy is supplied with a newly input heat load It relates to a method for operating smart energy combined with renewable energy sources.

Recently, in order to respond to energy and environmental problems, countries around the world are announcing climate change-related policies, and as a part of that policy, they are promoting the reduction of greenhouse gases, the cause of global warming. Considering these domestic and foreign policies and environmental changes, it is expected that interest in the collective energy business that combines cogeneration and new and renewable energy sources will gradually increase.

Collective energy generally refers to areas where a large number of heat consumers are concentrated, such as housing complexes and industrial complexes, and uses energy produced in one or more concentrated energy production facilities such as cogeneration generators, peak load boilers, and resource recovery facilities. It refers to a form of collectively supplying and selling to a large number of consumers in an area, commercial area, or industrial complex.

Since these collective energy projects have higher overall efficiency compared to existing fossil energy, they can contribute to solving environmental pollution problems by reducing fine dust emissions by saving energy. It has an advantage in that various benefits such as minimizing the power loss caused by this are generated.

As such, a lot of investment is being made to expand new and renewable energy at home and abroad, and given climate change measures such as the implementation of greenhouse gas reduction obligations, in the future, heat will be supplied in the conventional way by combining cogeneration and new and renewable energy sources. It is expected that interest in the collective energy business that can reduce greenhouse gas emissions by combining new and renewable energy sources or supplying heat only from new and renewable energy sources is expected to increase.

Accordingly, in terms of hardware, technology development for collective energy facilities has made great progress, but the optimal operation method is still at a rudimentary level. In particular, according to the stable housing supply and real estate stabilization policy, in a situation where the heat load is continuously being inputted due to urban development such as new residential districts (new towns) or smart cities near the area where the existing collective energy facilities were installed It is in the situation that an efficient operation method to maximize the profit of the operator cannot be presented.

[Prior art literature]

[Patent Literature]

(Patent Document 1) KR 10-1715451 B1, 2017. 03. 06.

(Patent Document 2) KR 10-2005218 B1, 2019. 07. 23.

[Non-patent literature]

(Non-Patent Document 1) Yongha Kim and 4 others, "Optimal Operation of Heat Transactions in Cogeneration Considering Operation Mode," Energy Engineering Vol. 18 No. 1, March 2009, pp. 37 to 48.

Therefore, the present invention has been proposed to solve the above problems, and when calculating the thermal input limit capacity of a new renewable energy source due to a new heat load input, it is calculated by reflecting the optimal operation of the existing cogeneration facility, and the newly input heat load Combined cogeneration facility and new renewable energy source that realizes optimal operation (maximizing profit) of existing cogeneration energy by determining the supply amount of new and renewable energy sources based on the calculated thermal input limit capacity of new and renewable energy sources when supplying energy to the furnace It aims to provide a smart energy operation method.

The present invention according to one aspect for achieving the above object is an existing heat load, a new heat load newly built in the vicinity of the existing heat load, a cogeneration generator, a peak load boiler, and a heat storage tank by configuring a facility including a heat storage tank to convert existing energy An existing cogeneration facility that supplies the existing energy produced and produced to the existing heat load and the new heat load and a production facility that produces new and renewable energy are configured to produce new energy to be supplied to the new heat load, and the profit of the existing cogeneration facility is increased In the combined cogeneration facility and new renewable energy source smart energy operation method comprising a new and renewable energy production facility that supplies new energy to the new heat load within the maximum range, (a) the combined heat and power generator, peak load boiler and Information on heat storage tank and customer information including maximum and minimum heat load and total heat load of the customer including the existing heat load and the new heat load are provided, and the profit of the existing cogeneration facility is found during the period under consideration. the process of deriving the optimal operation of the existing cogeneration facility; (b) calculating the thermal limit capacity of the existing cogeneration facility using the derived optimal operation result that maximizes the profit of the existing cogeneration facility; (c) calculating the thermal input limiting capacity of new energy for each time period that can be input as the new heat load in the renewable energy production facility using the calculated thermal limiting capacity of the existing cogeneration facility; (d) determining the thermal input limiting capacity of new energy having the maximum value among the calculated thermal input limiting capacities of new energy for each time period as the input amount of new energy input from the renewable energy production facility to the new heat load; (e) supplying the new heat load with the input amount of new energy determined in the renewable energy production facility; (f) detecting the input amount of the existing energy supplied to the new heat load from the existing cogeneration facility and calculating the reduction amount of the input amount of the existing energy; (g) as a result of the calculation, when the input amount of the existing energy supplied from the existing cogeneration facility to the new heat load is reduced, the process of determining an additional input amount to be compensated for by the reduction amount; (h) the new renewable energy production facility by adding the input amount of new energy corresponding to the thermal input limit capacity of the new energy calculated in step (d) and the additional input amount of the new energy determined in step (g) It provides a smart energy operation method combining a combined heat and power facility and a new and renewable energy source, including the process of determining the input amount of new energy to be input as the new heat load.

In addition, the information of the cogeneration generator, the peak load boiler and the heat storage tank includes the heat production upper and lower limits of the combined heat and power generator, the heat output upper and lower limits of the peak load boiler, the capacity of the heat storage tank and the amount of heat storage and heat dissipation per hour, and the heat and power generation It may include the fuel cost of the generator, the fuel cost of the peak load boiler, and the heat sales cost and power back-transmission cost of the existing cogeneration facility.

In addition, the process (a) is a process of defining an objective function in which the profit of the existing cogeneration facility is maximized, a process of setting an equal sign constraint and an inequality constraint condition for the objective function, and the revenue of the existing cogeneration facility is A process of searching for an optimal path of the objective function to be maximized, and a process of deriving an optimal operating result in which the profit of the existing cogeneration facility is maximized from the found optimal path,

The process of defining the objective function defines the objective function as in [Equation 1],

where CHP stands for cogeneration generator, PLB stands for peak load boiler,

In the process of setting the equal sign constraint and the inequality constraint for the objective function, the heat supply and demand constraint that the amount of heat produced by the existing cogeneration facility must be equal to the amount of heat required by the existing heat load and the new heat load [Equation 2] ], and the upper limit and lower limit of heat production of the conventional cogeneration generator are set by [Equation 3], and the upper limit and lower limit of heat output of the peak load boiler are set by [Equation 4], and the The heat storage tank cannot be operated with the maximum heat output immediately during the heat output, and only stores and dissipates heat within a certain heat output limit per unit time, and the limit of heat storage and heat dissipation per unit time is set as in [Equation 5],

where ACC is the heat storage tightening,

The process of searching for the optimal path of the objective function in which the profit of the existing cogeneration facility is maximized is,

In addition, the process (c) is,

If the maximum heat load generated at time t during the one-year operation simulation is the same as the sum of the upper limit of heat production of the cogeneration generator and the upper limit of heat output of the peak load boiler as shown in Equation 8, the existing cogeneration at time t It is determined that the thermal limit capacity by the optimal operation of the facility is satisfied, and the thermal input limit capacity of the new energy can be calculated by [Equation 9].

As described above, according to the smart energy operating system according to the present invention, the thermal input limit capacity of the new renewable energy source is calculated by reflecting the optimal operation of the existing cogeneration facility, and based on this, energy is applied for a new heat load newly input. When supplying energy, it is possible to provide optimal operation of cogeneration facilities by determining the supply amount of new and renewable energy sources within the range that does not impair the optimal operation of cogeneration facilities (the range that maximizes profits).

1 is a business conceptual diagram of a smart energy operating system according to an embodiment of the present invention.

2 is a diagram showing the configuration of a smart energy operating system according to an embodiment of the present invention.

3 is a flowchart illustrating a process of deriving an optimal operation of an existing cogeneration facility according to the present invention.

4 is a graph showing each heat load for each time period when an existing heat load generates a maximum heat load;

5 is a graph showing the price by time period of the 2018 SMP (System Marginal Price) of the 4th week in which the existing heat load generates the maximum heat load.

6 is a graph showing the optimal operation result of the existing cogeneration facility according to the present invention.

7 is a view showing the thermal input limit capacity of the renewable energy source for each time period.

Hereinafter, the technical features of the present invention will be described in detail with reference to the accompanying drawings.

Referring to FIG. 1 , the smart energy operating system according to an embodiment of the present invention supplies thermal energy (hereinafter referred to as 'existing energy') produced through the existing cogeneration facility 1 to the existing thermal load 3 during operation. When a new heat load (4) that is newly input due to new development is built near the area where the existing cogeneration facility (1) is installed, within the scope of maximizing the profit of the existing cogeneration facility (1), the new and renewable energy production facility (2) It provides smart energy operation that can efficiently operate the input amount of new and renewable energy input as a new heat load (4).

Existing cogeneration facility (1) is an existing collective energy facility, which is a production facility that produces and supplies heat and/or electric energy, including a combined heat and power generator (CHP, Combined Heat and Power), a peak load boiler (PLB, Peak Load Boiler), It includes a heat storage tank (ACC, ACCumulator) and an incinerator. In addition, ancillary equipment provided in a typical cogeneration system, such as a heat recovery steam generator (HRSG), may be further included.

As shown in FIG. 1, the renewable energy production facility 2 is a facility for producing eco-friendly renewable energy such as solar energy, geothermal energy, marine energy, bio-energy, fuel cell energy, and the like, and includes a solar power generator, a geothermal generator, and an ocean. It may include at least one or more of a generator, a bio-generator, and a fuel cell generator. In addition, a heat storage tank and an ESS (Energy Storage System) may be installed in the renewable energy production facility 2 to store heat and power.

The new and renewable energy production facility (2) is a new and renewable energy source for supplying energy to a new heat load (4) either built in the existing cogeneration facility (1) or separately from the existing cogeneration facility (1). It can be combined to form a new collective energy facility, and it can also be operated by merging with the existing cogeneration facility 1 within the collective energy facility configured in this way.

When a new heat load 4 is newly built and energy is supplied from the renewable energy production facility 2 , it is most important to preserve the profits of the existing cogeneration facility 1 . That is, when energy is supplied to the new heat load 4 through the renewable energy production facility 2 , the energy input should be determined within a range that does not impair the optimal operation of the existing cogeneration facility 1 .

The amount of energy supplied from the renewable energy production facility 2 to the new heat load 4 is determined by the thermal input limit capacity of the renewable energy source. That is, the thermal input limit capacity of the renewable energy source means the amount of energy supplied from the renewable energy production facility 2 to the new heat load 4 within the range in which the profit of the existing cogeneration facility 1 is maximized. In order not to impair the optimal operation of the existing cogeneration facility (1) when energy is supplied from the new and renewable energy production facility (2) to the new heat load (4), when calculating the thermal input limit capacity of the new renewable energy source, the The optimal operation that maximizes the profit should be derived and calculated by reflecting this.

The existing heat load 3 is a facility that is installed in or near the area where the existing cogeneration facility 1 is input, and receives and consumes existing energy from the existing cogeneration facility 1 . The new heat load (4) is a facility formed through new development near the area (or area) where the existing cogeneration facility (1) is input, and the existing energy produced by the existing cogeneration facility (1) and the new renewable energy production facility (2) Energy produced from renewable energy sources (hereinafter referred to as 'new energy') is supplied and consumed. For example, the existing heat load 3 and the new heat load 4 include a housing complex (apartment, etc.), a shopping mall, a building, a hospital, an industrial complex, a business, a commercial building, a public institution, and the like.

The existing heat load (3) receives and consumes the existing energy from the existing cogeneration facility (1), and the new heat load (4) receives the existing energy through the existing cogeneration facility (1) as well as the existing heat load (3) at the same time as the existing cogeneration facility (1). It is configured to receive and consume new energy from the renewable energy production facility (2) for a capacity exceeding the thermal limit capacity of the facility (1).

The thermal limit capacity of the existing cogeneration facility (1) should be determined within the range in which the profit of the existing cogeneration facility (1) is maximized, that is, within the range that does not impair the optimal operation. When a new heat load (4) is built, it should be considered as a very important factor in terms of preserving the profits of the operator operating the existing cogeneration facility (1).

Referring to FIG. 2 , the smart energy operating system according to an embodiment of the present invention includes information on various facilities built in the existing cogeneration facility 1, and the maximum number of consumers including the existing heat load 3 and the new heat load 4 . and an optimal operation derivation unit 5 for deriving an optimal operation in which the profit of the existing cogeneration facility 1 is maximized based on the minimum heat load and the total heat load.

The optimal operation derivation unit 5 includes information on the existing cogeneration facility 1, that is, information on facilities (cogeneration generator/peak load boiler/thermal storage tank), the maximum and minimum heat load of the consumer, and the total heat load of the consumer. By receiving customer information, the optimal operation is derived by searching the path that maximizes the profit of the existing cogeneration facility (1) during the period under consideration (set period).

Information on the existing cogeneration facility (1) includes the upper and lower limits of heat production of the combined heat and power generator (CHP), the upper and lower limits of the heat output of the peak load boiler (PLB), the capacity of the heat storage tank (ACC), and the amount of heat storage and heat dissipation per hour; It may include the fuel cost of the combined heat and power generator (CHP), the fuel cost of the peak load boiler (PLP), and the heat sales cost and power return cost of the existing cogeneration facility 1 .

The operation method of the smart energy operating system having such a configuration includes the following process.

Information on cogeneration generators, peak load boilers and heat storage tanks, and customer information including maximum and minimum heat loads and total heat loads of customers including the existing heat load (3) and new heat load (4) are provided, and the existing heat and power generation during the period under consideration is provided. Using the process of deriving the optimal operation of the existing cogeneration facility (1) by exploring the path that maximizes the profit of the facility (1), and the optimal operation result that maximizes the profit of the existing cogeneration facility (1), The process of calculating the thermal limit capacity of the cogeneration facility (1) and the time that can be input as a new heat load (4) in the renewable energy production facility (2) using the calculated thermal limit capacity of the existing cogeneration facility (1) The process of calculating the thermal input limiting capacity of new energy for each unit, and the new thermal input limiting capacity of new energy having the maximum value among the calculated thermal input limiting capacities of new energy for each time period are calculated from the new and renewable energy production facility (2). 4) includes a process of determining the input amount of new energy input, and a process of supplying the new energy input amount determined in the renewable energy production facility (2) to the new heat load (4). In addition, the process of detecting the input amount of the existing energy supplied from the existing cogeneration facility (1) to the new heat load (4) and calculating the amount of reduction in the input amount of the existing energy, and the result of the calculation, the new heat load (4) from the existing cogeneration facility (1) ), the process of determining the additional input to compensate for the decrease, the input of new energy corresponding to the calculated thermal input limit of the new energy, and the determined additional input of new energy It includes the process of determining the input amount of new energy to be inputted from the new and renewable energy production facility (2) to the new heat load (4) by summing it up.

Referring to FIG. 3 , the optimal operation derivation unit 5 uses a simulator obtained through Republic of Korea Patent Registration No. 10-1715451 (registration date: 2017.03.06.) proposed by the present inventor as an example, using the existing cogeneration facility ( It is possible to derive the optimal operation in which the profit of 1) is maximized.

The optimal operation derivation unit 5 defines an objective function in which the profit of the existing cogeneration facility 1 is maximized (S11), and sets equal and inequality constraints for the objective function (S12), and the profit is maximum An optimal path of the objective function is searched for (S13), and an optimal operation in which the profit of the existing cogeneration facility 1 is maximized is derived from the searched optimal path (S14).

In the process of defining the objective function (S11), the objective function is a function for calculating the maximum profit value at which the profit of the existing cogeneration facility 1 is the maximum, and can be defined as [Equation 1].

[Equation 1]

Here, CHP stands for cogeneration generator and PLB stands for peak load boiler.

Thereafter, the CHP, peak load boiler (PLB), and heat storage tank (ACC) of the existing cogeneration facility (1) are restricted in order to derive the optimal operation that maximizes the profit of the existing cogeneration facility (1). To this end, an equality constraint and an inequality constraint for the objective function are set (S12).

The equal sign constraint and the inequality sign constraint are set as in [Equation 2] to [Equation 5].

heat supply constraint

The total amount of heat produced by the existing cogeneration facility (1) should be equal to the amount of heat required by the heat load. That is, the heat supply and demand constraint that the amount of heat produced by the existing cogeneration facility 1 must be equal to the amount of heat required by the consumer can be expressed by [Equation 2].

[Equation 2]

Here, ACC is a heat storage tank.

CHP (Cogeneration) Constraints

The constraints of the upper limit (maximum heat output) and lower limit (minimum heat output) of the CHP are the same as in [Equation 3].

[Equation 3]

PLB (Peak Load Boiler) Constraints

The restrictions of the upper limit (maximum heat output) and lower limit (minimum heat output) of the PLB are as in [Equation 4].

[Equation 4]

Constraints of ACC (Heat Storage Tank)

The constraint of ACC is that it cannot be operated with maximum heat output immediately during heat output, and heat storage and heat dissipation can be performed only within a certain heat output limit per unit time. At this time, the limit of axial and heat dissipation per unit time is as [Equation 5].

[Equation 5]

And, in order to optimally operate the ACC, the dynamic programming method was used, and simulations were performed in units of one week (168 hours).

Thereafter, the optimal path of the objective function in which the profit is maximized is searched (S13). In this process, the heat output of CHP and PLB is calculated, and the initial heat level of ACC and the heat level of ACC at the final time are equal, and the path that maximizes the profit of the existing cogeneration facility (1) is searched as follows.

The heat load that fluctuates when transitioning from the initial heat level of ACC to the time zone of t=1 is calculated by [Equation 6].

[Equation 6]

[Equation 7]

At the final stage t, based on the result calculated from [Equation 7], the optimal path for the objective function defined in [Equation 1] is calculated (S13). Then, the optimal operation result of the optimal CHP, PLB, and ACC is derived from the optimal path of the objective function calculated in this way (S14).

As shown in FIG. 2 , the smart energy operating system according to the embodiment of the present invention uses the optimal operation result of the existing cogeneration facility 1 derived through the optimum operation derivation unit 5 to determine the thermal limit of the existing cogeneration facility 1 . and a thermal limit capacity calculating unit 6 for calculating the capacity.

The thermal limit capacity calculation unit 6 calculates the thermal limit capacity within the range in which the profit of the existing cogeneration plant 1 is maximized as follows based on the optimal operation result of the existing cogeneration plant 1 .

[Equation 8]

Accordingly, as shown in FIG. 2 , the smart energy operating system according to the embodiment of the present invention is a renewable energy production facility using the thermal limit capacity of the existing cogeneration facility 1 calculated through the thermal limit capacity calculation unit 6 . In (2), the new and renewable energy source (new energy) that can be input to the new thermal load (4) includes a thermal input limiting capacity calculating unit (7) for calculating the thermal input limiting capacity.

[Equation 9]

Therefore, the thermal input limit capacity calculation unit 7 reflects the optimal operation result in which the profit of the basic cogeneration facility (1) is maximized and calculates the thermal input limit capacity of the new renewable energy source, thereby calculating the revenue of the existing cogeneration facility (1). It is possible to efficiently determine the input amount of the new and renewable energy input from the new and renewable energy production facility (2) to the new heat load (4) within the maximum range.

The input amount of renewable energy, that is, the input amount of new energy, is determined by the renewable energy input amount determining unit 8 . The new and renewable energy input amount determination unit 8 is a new and renewable energy source (new energy) based on the thermal input limit capacity calculated through the thermal input limit capacity calculation unit 7, the new heat load (4) in the new and renewable energy production facility (2) ) to determine the amount of new energy supplied.

The input amount of new energy determined by the renewable energy input determination unit 8, that is, the input amount of new energy supplied from the new and renewable energy production facility 2 to the new heat load 4, is calculated by the thermal input limit capacity calculation unit 7 It is the same as the thermal input limiting capacity having the maximum value among the thermal input limiting capacities of new energy for each time period calculated by the calculated thermal input limiting capacity calculating unit (7).

On the other hand, as shown in FIG. 2 , the smart energy operation system according to an embodiment of the present invention detects a change in the existing energy input while supplying (inputting) the existing energy from the existing cogeneration facility 1 to the new heat load 4 . It further includes an input variation detection unit 9 that does.

Production can be reduced due to failures and repairs of various facilities such as cogeneration generators and peak load boilers constituting the existing cogeneration facility (1), and 100% operation is difficult due to various other causes. In this case, supply as a new heat load (4) The amount of existing energy input is reduced.

The new and renewable energy production facility 2 supplies only the new energy input determined by the new and renewable energy input amount determination unit 8 to the new heat load 4 . For this reason, when the existing energy input in the existing cogeneration facility 1 is reduced, the new heat load 4 may not be supplied with the energy required by the reduced amount of the existing energy input, which may cause operational problems.

The input variation detection unit 9 detects the variation amount, that is, the decrease amount by detecting the existing energy input amount input from the existing cogeneration facility 1 to the new heat load 4 . For example, the amount of change in the existing energy input is detected in a way that is calculated based on the facility utilization rate information of the existing cogeneration facility (1), or detected in a way that is calculated based on the existing energy production of the existing cogeneration facility (1), or It can be detected based on the amount of transport transported through the heat transport facility that transports the existing energy from the cogeneration facility (1) to the new heat load (4).

As shown in FIG. 2, the smart energy operating system according to the embodiment of the present invention determines the amount of variation to be compensated for based on the decrease in the existing energy input from the existing cogeneration facility 1 to the new heat load 4 through the input variation detection unit 9. It further includes a variation compensation determining unit 10 to determine.

Variation compensation determination unit 10 is the amount of change detected through the input variation detection unit 9, that is, in response to the decrease in the existing energy, the new energy to be additionally input from the renewable energy production facility 2 to the new heat load 4 The additional input amount is determined and provided to the renewable energy input amount determination unit 8 . In this case, the additional input amount of the new energy is the same as the reduction amount of the existing energy.

And, the new renewable energy input amount determination unit 8 is the input amount of new energy corresponding to the thermal input limit capacity of the new renewable energy source calculated by the thermal input limit capacity calculation unit 7, and the variation compensation determination unit 8 By summing the determined additional input amount of new energy, the input amount of new energy to be inputted from the renewable energy production facility (2) to the new heat load (4) is determined.

The new and renewable energy production facility (2) supplies new energy as a new heat load (4) by the amount of new energy newly determined in the new and renewable energy input determination unit (8) in response to the reduction in the existing energy of the existing cogeneration facility (1). Ensure a stable energy supply.

On the other hand, when the existing cogeneration facility (1) is operating normally, it is detected through the input variation detection unit (9), and the new and renewable energy input amount determining unit (8) is calculated by the thermal input limit capacity calculation unit (7) without additional input. The amount of new energy input is determined to correspond to the thermal input limit of the renewable energy source. As a result, the renewable energy production facility 2 supplies the new energy to the new thermal load 4 in an input amount corresponding to the thermal input limit capacity of the renewable energy source.

experimental conditions

1. CHP, PLB, ACC input data

The existing collective energy facility (1) consisted of 2 CHP units, 1 PLB unit, and 1 ACC unit.

CHP is operating in four operation modes (thermal load following operation mode, electric load following operation mode, maximum thermal load following operation mode, thermal load/electric load mixed operation mode) except for gas turbine independent operation (Mode2) among the five operation modes, The lower limit and upper limit of heat production at that time are shown in [Table 1].

[Table 2] shows the lower and upper limits of the heat output of the PLB.

[Table 3] shows the capacity of ACC and the amount of heat storage and heat dissipation per hour.

The fuel ratio function of CHP and PLB was composed of a quadratic function of heat output, and the coefficients are shown in [Table 4].

2. Optimal operation analysis and results of existing cogeneration facilities

[Table 5] shows the characteristics of customer heat load based on the load input data and facility input data.

4 is a graph showing each heat load for each time period when the existing heat load generates the maximum heat load under the above conditions, and FIG. 5 is the 2018 SMP (System Marginal Price) time period of the 4th week when the existing heat load generates the maximum heat load This is a graph showing the price.

The parking in which the existing heat load 3 to which the existing cogeneration facility 1 is inputting the existing energy generates the maximum heat load was confirmed as week 4, and at this time, the configuration of each heat load is as shown in FIG. 4 .

[Table 6] shows the heat production of CHP and PLB and heat dissipation of ACC when optimal operation is performed by reflecting the characteristics of the existing cogeneration facility 1 based on the above-described input data. At this time, the heat load to be supplied is 36,510.99 [Gcal], whereas the heat produced is 34,060.08 [Gcal], so 400 [Gcal] is insufficient, and the heat stored in the ACC is radiated.

The optimal operation result of the existing cogeneration facility 1 is shown in FIG. 6 .

6 shows a graph of the optimal operation result of the existing cogeneration facility according to the present invention.

As shown in FIG. 6 , it can be seen that the ACC is dissipated only from 2 hours to 51 hours, and two CHP units and one PLB unit operate. This is because, based on the fuel cost function, it is calculated that it is more economical to operate each facility at the same time when considering the heat load, SMP (system limit price), and the characteristics of the existing collective energy facility (1). However, over a total of 69 time zones, such as 1~2, 7~9, 22~25, 41~58, 65~81, 90~96, 103~104, 115~119, 140~142, the existing collective energy facilities ( It can be seen that 1) does not satisfy the heat load when it is operated optimally, which means that the sum of the heat productions of CHP, PLB and ACC does not satisfy the heat load. At this time, the thermal limit capacity of the existing cogeneration facility (1) was calculated as 230 [Gcal/h].

As described above, the technical idea of the present invention has been specifically described in the preferred embodiment, but the preferred embodiment is for the purpose of explanation and not for limitation. As such, those of ordinary skill in the art will be able to understand that various embodiments are possible through combination of embodiments of the present invention within the scope of the technical spirit of the present invention.

[Explanation of code]

1: Existing cogeneration facility

2: Renewable energy production facility

3: Existing heat load

4: New heat load

5: Optimal operation derivation part

6: thermal limit capacity calculation unit

7: Thermal input limit capacity calculation unit

8: Renewable energy input amount determination unit

9: input variation detection unit

10: Variable amount compensation determining unit

Claims

Existing heat load, a new heat load newly built in the vicinity of the existing heat load, a cogeneration generator, a peak load boiler, and a heat storage tank are configured to produce existing energy, and the produced existing energy is transferred to the existing heat load and the new heat load Produce new energy to be supplied to the new heat load by composing the existing cogeneration facility that supplies the new and renewable energy, and supplying the new energy to the new heat load within the range of maximizing the profit of the existing cogeneration facility. In the combined heat and power facility and new renewable energy source combined smart energy operation method including a renewable energy production facility,

(a) Information on the cogeneration generator, peak load boiler, and heat storage tank, and customer information including maximum and minimum heat loads and total heat loads of consumers including the existing heat load and the new heat load. The process of deriving the optimal operation of the existing cogeneration facility by searching for a path that maximizes the profit of the cogeneration facility;

(b) calculating the thermal limit capacity of the existing cogeneration facility using the derived optimal operation result that maximizes the profit of the existing cogeneration facility;

(c) calculating the thermal input limiting capacity of new energy for each time period that can be input as the new heat load in the renewable energy production facility using the calculated thermal limiting capacity of the existing cogeneration facility;

(d) determining the thermal input limiting capacity of new energy having the maximum value among the calculated thermal input limiting capacities of new energy for each time period as the input amount of new energy input from the renewable energy production facility to the new heat load;

(e) supplying the new heat load with the input amount of new energy determined in the renewable energy production facility;

(f) detecting the input amount of the existing energy supplied to the new heat load from the existing cogeneration facility and calculating the reduction amount of the input amount of the existing energy;

(g) as a result of the calculation, when the input amount of the existing energy supplied from the existing cogeneration facility to the new heat load is reduced, the process of determining an additional input amount to be compensated for by the reduction amount; and

(h) the new renewable energy production facility by adding the input amount of new energy corresponding to the thermal input limit capacity of the new energy calculated in step (d) and the additional input amount of the new energy determined in step (g) determining an input amount of new energy to be input as the new heat load in the ;

A combined heat and power facility and renewable energy source, including a smart energy operation method.
The method of claim 1,

The information of the cogeneration generator, the peak load boiler and the heat storage tank includes the heat production upper and lower limits of the combined heat and power generator, the heat output upper and lower limits of the peak load boiler, the capacity of the heat storage tank and the amount of heat storage and heat dissipation per hour, and the combined heat and power generator A fuel cost, a fuel cost of the peak load boiler, and a combined heat and power facility and a new renewable energy source smart energy operation method including the heat sales cost and power back-transmission cost of the existing cogeneration facility.
The method of claim 1,

The (a) process is,

The process of defining an objective function in which the profit of the existing cogeneration facility is maximized, the process of setting equal and inequality constraints for the objective function, and the optimal path of the objective function in which the profit of the existing cogeneration facility is maximized Including the process of searching for and deriving the optimal operation result in which the profit of the existing cogeneration facility is maximized from the searched optimal path,

The process of defining the objective function defines the objective function as in [Equation 1],

[Equation 1]

where CHP stands for cogeneration generator, PLB stands for peak load boiler,

In the process of setting the equal sign constraint and the inequality constraint for the objective function, the heat supply and demand constraint that the amount of heat produced by the existing cogeneration facility must be equal to the amount of heat required by the existing heat load and the new heat load [Equation 2] ], and the upper limit and lower limit of heat production of the conventional cogeneration generator are set by [Equation 3], and the upper limit and lower limit of heat output of the peak load boiler are set by [Equation 4], and the The heat storage tank cannot be operated with the maximum heat output immediately during the heat output, and only stores and dissipates heat within a certain heat output limit per unit time, and the limit of heat storage and heat dissipation per unit time is set as in [Equation 5],

[Equation 2]

where ACC is the heat storage tightening,

[Equation 3]

[Equation 4]

[Equation 5]

The process of searching for the optimal path of the objective function in which the profit of the existing cogeneration facility is maximized is,

[Equation 6]

[Equation 7]

A smart energy operation method that combines cogeneration facilities and new and renewable energy sources.
4. The method of claim 3,

The (c) process is,

If the maximum heat load generated at time t during the one-year operation simulation is equal to the sum of the upper limit of heat production of the cogeneration generator and the upper limit of heat output of the peak load boiler as shown in Equation 8, the existing cogeneration at time t To calculate the thermal input limit capacity of the new energy by [Equation 9] by determining that the thermal limit capacity by the optimal operation of the facility is satisfied,

[Equation 8]

[Equation 9]

A smart energy operation method that combines cogeneration facilities and new and renewable energy sources.