Integrated operation system for electric boilers connected to collective energy systems

Abstract

This system provides an integrated operation system for electric boilers that supplies heat and electricity produced by the boilers based on optimized control, and participates in the electricity market to purchase electricity necessary for heat production or to sell the surplus power produced. [Solution] The integrated operation system 1000 for an electric boiler connected to a collective energy source includes: an electric boiler facility 100 that produces and supplies heat or heat and electricity based on optimized control data; an integrated operation server 200 that generates optimized control data for output control and automatic power generation control of the electric boiler facility based on metering data collected from the electric boiler facility and electricity bid data provided by a virtual exchange 300, and generates electricity bid data for electricity trading based on the metering data; and a virtual exchange that conducts bids for electricity trading based on the electricity bid data, generates electricity bid data according to the bid results, and provides it to the integrated operation server.

Description

Technical Field

[0001] Embodiments of the present invention relate to an integrated operation system of electric boilers associated with group energy. More specifically, the present invention relates to an integrated operation system for supplying heat and power generated by electric boilers based on optimization control, participating in the electricity market to purchase the electricity required for heat production, or selling the surplus power generated.

Background Art

[0002] In the process of accelerating energy conversion in the drive towards carbon neutrality as a response to the global climate crisis, if the final energy is electrified based on renewable energy, at this time, it is necessary to shift the surplus power of renewable energy, which has characteristics such as variability and intermittency, to the consumable time zone, and various energy storage devices that can provide long-term flexibility from the perspective of supply and demand in the production and consumption of final energy are required.

[0003] Such energy storage methods not only include simple electrical storage (such as batteries), but also combine with various fields such as gas (such as hydrogen), potential energy (such as pumped storage), energy for heating and cooling (heat), electric vehicles (charging and discharging), etc. (Sector Coupling) to expand the acceptance of renewable energy and supply and demand the final energy cost-effectively.

[0004] In addition, the characteristics such as the variability and intermittency of renewable energy, for which output control is impossible, reduce the national frequency stability and local voltage stability of the power grid. Therefore, it is necessary to limit the output of rigid renewable energy (Curtailment), or from the perspective of maintaining the stability of the power grid, expand short-term responsiveness, flexible power sources or demand resources.

[0005] Collective energy systems already possess the large-scale demand and infrastructure (thermal storage devices - thermal storage tanks, thermal networks - thermal piping networks) to convert surplus electricity from the power grid into heat, store it, and utilize it. This provides a foundation for improving the cost efficiency of the energy industry as a sector coupling system that can offer large-scale and long-term flexibility in terms of supply and demand in the production and consumption of final energy. [Prior art documents] [Non-patent literature]

[0006] [Non-Patent Document 1] Busan Ilbo article titled "Korea District Heating Corporation launches collective energy collaborative sector coupling (P2H) demonstration project...the first in the country" (URL: https: / / www.busan.com / view / busan / view.php?code=2022123021150349713, 2022.12.30) [Overview of the project] [Problems that the invention aims to solve]

[0007] Embodiments of the present invention introduce responsive medium-to-large electric boilers (P2eB) that have not been utilized in conventional collective energy systems, enabling mutual contribution between electricity generated by electric boilers and collective energy. This provides an integrated operation system for electric boilers connected to collective energy, which can address distribution system problems due to the increase in renewable energy distributed in the distribution grid, respond to distribution grid problems as a resource of a virtual power plant (VPP), and respond to the variability of renewable energy as a collective resource, thereby accelerating energy transition in the process of promoting carbon neutrality. [Means for solving the problem]

[0008] An integrated operation system for an electric boiler connected to collective energy according to an embodiment of the present invention includes: an electric boiler facility that produces and supplies heat or heat and electricity based on optimized control data; an integrated operation server that generates the optimized control data for output control and automatic power generation control of the electric boiler facility based on metering data collected from the electric boiler facility and electricity bid data provided by a virtual exchange, and generates electricity bid data for electricity trading based on the metering data; and a virtual exchange that conducts bids for electricity trading based on the electricity bid data, generates electricity bid data according to the bid results, and provides it to the integrated operation server.

[0009] Furthermore, the electric boiler equipment may include an equipment unit that includes at least one of the following: an independent unit consisting of an electric boiler for producing heat using purchased electricity, and a combined power unit that is attached to and combined with a cogeneration generator and consists of an electric boiler for producing heat and electricity; and a metering unit that measures the amount of heat produced, the amount of electricity generated, and the amount of electricity consumed by the equipment unit and provides the measured data to the integrated operation server.

[0010] Furthermore, the electric boiler equipment may further include an equipment management unit that issues optimized operation instructions to the equipment unit based on the optimized control data and provides optimized operation result data in accordance with the optimized operation instructions to the integrated operation server.

[0011] Furthermore, the integrated operation server may include a metering data collection server unit that collects the metering data; a web application server unit that receives and monitors the optimized operation result data and the power bidding data, provides the metering data and the power bidding data to the optimization engine unit, receives the optimization control data and provides it to the electric boiler equipment, generates the power bidding data for purchasing the necessary power for the electric boiler equipment or selling piezoelectric power and provides it to the virtual exchange; and an optimization engine unit that generates the optimization control data based on the metering data and the power bidding data.

[0012] Furthermore, the integrated operation server may further include a big data DB server unit that generates and manages the measurement data and the optimized operation result data as big data.

[0013] Furthermore, the web application server unit may optionally select either cost minimization or profit maximization as its objective function, input the maximum / minimum cost and electricity trading price required to execute the objective function corresponding to the selected option, and transmit this information to the optimization engine unit.

[0014] Furthermore, the optimization engine unit may generate the optimization control data based on the metering data, the electricity auction data, the objective function option selected by the web application server unit, and the maximum / minimum cost and electricity trading price input with respect to the selected objective function option.

[0015] Furthermore, the optimization engine unit determines the type and operating mode of the cogeneration generator, the independent equipment, and the combined power supply equipment, respectively, and generates the optimization control data having the optimal solution for achieving the objective function in the determined operating mode. The operating modes may be divided into Mode 1, which produces heat and electricity simultaneously, and Mode 3, which produces electricity.

[0016] Furthermore, the optimization engine unit may generate the optimization control data by reflecting the minimum operating time and minimum stopping time that have been set in advance for the independent equipment and the combined power supply equipment. [Effects of the Invention]

[0017] According to the present invention, by introducing a responsive medium-to-large electric boiler (P2eB) that has not been utilized in conventional collective energy systems, and by enabling mutual contribution between electricity using the electric boiler and collective energy, it is possible to provide an integrated operation system for electric boilers connected to collective energy that can minimize regional voltage problems within the distribution system caused by the increase in renewable energy distributed in the distribution system when accelerating energy transition in the process of promoting carbon neutrality, respond to distribution system problems as a resource of a virtual power plant (VPP), and respond to the variability of renewable energy as a collective resource. [Brief explanation of the drawing]

[0018] [Figure 1] This figure shows the architecture of the main components of an integrated operation system for electric boilers connected to collective energy according to an embodiment of the present invention. [Figure 2] This is a block diagram showing the configuration of an integrated operation server according to an embodiment of the present invention. [Figure 3] This figure shows an example of the execution screen of an integrated operation system according to an embodiment of the present invention. [Figure 4] This figure illustrates the types and operating modes of equipment components according to an embodiment of the present invention. [Figure 5] This figure shows an example of data relating to an electric boiler and a cogeneration generator that is input or provided through the execution screen of an integrated operation system according to an embodiment of the present invention. [Figure 6] This figure shows an example of data relating to an electric boiler and a cogeneration generator that is input or provided through the execution screen of an integrated operation system according to an embodiment of the present invention. [Figure 7] This figure shows an example of data relating to an electric boiler and a cogeneration generator that is input or provided through the execution screen of an integrated operation system according to an embodiment of the present invention. [Figure 8]FIG. is a diagram showing an example of data related to an electric boiler and a cogeneration generator input or provided through an execution screen of an integrated operation system according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Terms used in this specification are briefly described, and the present invention is specifically described.

[0020] The terms used in the present invention are selected as general terms that are currently widely used as much as possible in consideration of the functions in the present invention, but these may change depending on the intentions of those skilled in the art, precedents, or the emergence of new technologies. In some cases, there are also terms arbitrarily selected by the applicant, and in this case, the meaning thereof is described in detail in the description part of the corresponding invention. Therefore, the terms used in the present invention are not simply the names of terms, but are defined based on the meaning of the terms and the overall content of the present invention.

[0021] Throughout the specification, when a certain part is described as “including” a certain component, this means that, unless otherwise stated, it does not exclude other components and may further include other components. Also, terms such as “section” and “module” described in the specification mean units that process at least one or more functions and operations, and these can be realized by hardware, software, or a combination of hardware and software.

[0022] Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those having ordinary knowledge in the technical field to which the present invention pertains can easily implement them. However, the present invention can be realized in various different forms and is not limited to the embodiments described here. Also, in the drawings, in order to clearly explain the present invention, parts not related to the description are omitted, and similar reference numerals are given to similar parts throughout the specification.

[0023] Figure 1 is a diagram showing the main configuration architecture of an integrated operation system for an electric boiler connected to collective energy according to an embodiment of the present invention; Figure 2 is a block diagram showing the configuration of an integrated operation server according to an embodiment of the present invention; Figure 3 is a diagram showing an example of the execution screen of the integrated operation system according to an embodiment of the present invention; Figure 4 is a diagram illustrating the type of equipment and operating mode according to an embodiment of the present invention; and Figures 5 to 8 are diagrams showing examples of data related to electric boilers and cogeneration generators that are input or provided through the execution screen of the integrated operation system according to an embodiment of the present invention.

[0024] Referring to Figure 1, the integrated operation system 1000 for an electric boiler connected to collective energy according to an embodiment of the present invention may include at least one of the following: an electric boiler facility 100, an integrated operation server 200, and a virtual exchange 300.

[0025] The electric boiler equipment 100, the integrated operation server 200, and the virtual exchange 300 are interconnected by a network, enabling them to send and receive necessary data. Examples of such networks include, but are not limited to, the 3GPP (3rd Generation Partnership Project) network, LTE (Long Term Evolution) network, WiMAX (World Interoperability for Microwave Access) network, the Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (registered trademark) network, satellite broadcasting network, analog broadcasting network, and DMB (Digital Multimedia Broadcasting) network.

[0026] In this embodiment, collective energy means heat or heat and electricity supplied to two or more users, and such collective energy businesses are divided into district heating and cooling businesses that supply heat or heat and electricity near the point of demand, and industrial park collective energy businesses.

[0027] The electric boiler equipment 100 can produce and supply heat or heat and electricity based on optimized control data.

[0028] For this purpose, the electric boiler equipment 100 may include at least one of the equipment unit 110, the metering unit 120, and the equipment management unit 130, as shown in Figure 1.

[0029] The equipment unit 110 may include at least one of the following: an independent unit 111 consisting of an electric boiler for producing heat using purchased electricity, and a combined power unit 112 that is attached to and combined with a cogeneration generator and consists of an electric boiler for producing both heat and electricity.

[0030] The aforementioned independent equipment 111 and combined power equipment 112 model a method for an electric boiler (P2eB) model to participate in the electricity market. More specifically, the independent equipment 111 is a model in which an electric boiler (Pe2B) is configured as a single independent resource to participate in the electricity market and generate revenue, while the combined power equipment 112 is a model in which an electric boiler (P2eB) is attached to and combined with a cogeneration generator as a dependent resource to participate in the electricity market and generate revenue.

[0031] The electricity required to power the independent equipment 111 can be purchased. The electricity needed for the electric boiler (P2eB) can be purchased at the daily average system marginal price (SMP) in the electricity market, or by using electricity from a generator connected to the independent equipment 111. The reserve power produced by the independent equipment 111 can be sold through demand response (DR, plus DR) or a virtual power plant (VPP).

[0032] The combined power generation equipment 112 can use the power of a cogeneration generator (e.g., a CHP generator) as the input energy for the electric boiler (P2eB). In this case, the reserve power provided by the electric boiler (P2eB) refers to the reserve power produced by the combined power generation equipment 112, and such reserve power can be sold through DR (frequency DR, plus DR) or a virtual power plant (VPP).

[0033] The metering unit 120 can measure the heat production, power generation, and power consumption of the equipment unit 110, and provide the measured data to the integrated operation server 200.

[0034] The equipment management unit 130 issues optimized operation instructions to the equipment unit 110 based on optimized control data (output control, AGC (automatic power generation control)) provided from the integrated operation server 200. It can then acquire optimized operation result data from the equipment unit 110 in accordance with these optimized operation instructions and provide it to the integrated operation server 200 in real time.

[0035] The integrated operation server 200 can generate the optimization control data for output control and automatic power generation control of the electric boiler equipment based on metering data collected from the electric boiler equipment and power bidding data provided from the virtual exchange, and can generate power bidding data for power trading based on the metering data.

[0036] For this purpose, the integrated operation server 200 may include at least one of the following, as shown in Figure 2: a data collection server unit 210, a web application server unit 220, an optimization engine unit 230, a big data DB server unit 240, and a management DB unit 250.

[0037] The data collection server unit 210 can collect metering data (such as heat production, power generation, and power consumption) from the electric boiler equipment 100 in real time and transmit it to the big data DB server unit 240.

[0038] The web application server unit 220 receives and verifies or monitors the optimized operation result data of the electric boiler equipment 100 and the power bidding data of the virtual exchange 300, respectively, provides the metering data of the electric boiler equipment 100 and the power bidding data of the virtual exchange 300 to the optimization engine unit 230, receives optimization control data from the optimization engine unit 230 and provides it to the electric boiler equipment 100 in order to produce the optimal heat or the optimal heat and power of the electric boiler equipment 100, and can generate power bidding data for purchasing the necessary power of the electric boiler equipment 100 or selling piezoelectric power and provide it to the virtual exchange 300.

[0039] The web application server unit 220 can use an execution screen as shown in Figure 3 ((1): Main menu - System Management, Data Management, Optimization, Bidding / Winning Bid, Measurement / Settlement, (2): Detailed menu, (3): Inquiry Conditions and Data) to select either cost minimization or profit maximization as an objective function, input the maximum / minimum cost and electricity transaction price required to execute the objective function corresponding to the selected option, and transmit (input) this information to the optimization engine unit 230.

[0040] The objective function according to this embodiment may include objective functions for cost minimization (OBJECTWAY=0) and profit maximization (OBJECTWAY=1), and these objective functions take into account the form of participation in the electricity market, the self-power supply model, etc. Cost minimization (OBJECTWAY=0) can find the optimal solution that minimizes "production cost - sales cost" while satisfying the given electricity demand and heat demand. Profit maximization (OBJECTWAY=1) can find the optimal solution that minimizes "sales amount - production cost". In this case, assuming that the produced electricity is sold in the electricity market at SMP, the produced heat is sold to district heating at a heat price, and the produced reserve power is sold in the electricity market at a reserve power price, the SMP, heat price, and reserve power value can all be input by the central administrator 1. On the other hand, the electricity demand and heat demand can also be input by the central administrator 1.

[0041] The optimization engine unit 230 can generate optimized control data based on the above-mentioned SMP, heat price, reserve price, and input values ​​for electricity demand and heat demand, as well as real-time metric data from the electric boiler equipment 100 (such as heat production, power generation, and power consumption) and electricity bid data from the virtual exchange 300.

[0042] The optimization engine unit 230 can generate optimization control data for producing the optimal heat or optimal heat and electricity for the electric boiler equipment 100 based on metering data, electricity auction data, objective function options selected by the web application server unit 220, and maximum / minimum costs and electricity transaction prices (e.g., SMP, heat price, reserve price, input values ​​for electricity demand and heat demand) input with respect to the selected objective function options.

[0043] The optimization engine unit 230 can determine the type and operating mode of the cogeneration generator, the independent equipment 111, and the combined power supply equipment 112, respectively, and generate optimization control data having the optimal solution for achieving the objective function in the determined operating mode.

[0044] The equipment types according to this embodiment can be classified into "Type 1," "Type 2," and "Type 3," as shown in Figure 4. "Type 1" is a type consisting only of a cogeneration generator and not including an electric boiler (EB), "Type 2" is a configuration of the independent equipment 111 in which the electric boiler (EB) is configured as a single independent resource, and "Type 3" is a type in which the electric boiler (EB) is combined with the cogeneration generator and configured as an auxiliary piece of equipment.

[0045] As shown in Figure 4, the operating modes according to this embodiment can be divided into Mode 1, which produces heat and electricity simultaneously, and Mode 3, which produces electricity. Cogeneration generators can generally be divided into an operating mode dedicated to electricity production (Mode 3) and an operating mode that produces heat and electricity simultaneously (Mode 1). In "Mode 1," the ability to maintain output according to heat demand and adjust electrical output according to the power grid is insufficient, and therefore the ability to provide flexibility to the power grid is lower compared to Mode 3, which is dedicated to electricity production.

[0046] These types and modes can be selected through the execution screen (see Figure 3) provided by the web application server unit 220. One of "Mode 1" and "Mode 3" can be selected as the operating mode. In "Mode 1," heat production is also possible, and the optimization engine unit 230 can select between "Mode 1" and "Mode 3."

[0047] The optimization engine unit 230 can generate optimized control data by taking into account the form of participation in the power market, the self-power supply model, and other factors, and by further reflecting the minimum operating time and minimum downtime set in advance for the independent equipment 111 and the shared power supply equipment 112.

[0048] The generator connected to the electric boiler (EB) according to this embodiment must be started in one of the types from "Type 0" to "Type 2" and run for at least the minimum operating time of the connected generator. That is, if the connected generator is stopped after being started in any of the selected types, it will be impossible to start it again for the minimum stop time. For example, if "minimum operating time = 4" and "minimum stop time = 5", if it is started in type n and stopped after 5 hours of operation, it will be impossible to start any type for the next 5 hours.

[0049] The optimization engine unit 230 may be input with the cost and maximum / minimum values ​​for each mode. More specifically, in each type, the selection of "Mode 1" and "Mode 3" is determined through optimization, and the cost and maximum / minimum values ​​for "Mode 1" and "Mode 3" may be input by the central administrator 1, respectively.

[0050] The big data DB server unit 240 can accumulate and store measurement data and optimization operation result data, and manage the stored data by converting it into big data.

[0051] The management database unit 250 enables the input and output data (user input data, optimization results) of the optimization engine unit 230 to be viewed and monitored through the execution screen of the web application server unit 220.

[0052] The virtual exchange 300 can bid on electricity transactions based on the electricity bidding data of the integrated operation server 200, generate electricity successful bid data according to the successful bid results, and provide it to the integrated operation server 200. At this time, the successful bid process may be performed manually by the virtual operator 2, and such a user interface may also be performed through the execution screen of the web application server unit 220.

[0053] On the other hand, the other system 4 refers to a server system of another company that shares information and data of this embodiment, and can collect and verify measurement data, user input data for optimization, output data, optimization results, etc.

[0054] The above description is merely one embodiment for implementing an integrated operation system for electric boilers connected to collective energy according to the present invention, and the present invention is not limited to the above embodiment. The technical spirit of the present invention can be modified to the extent that a person with ordinary skill in the art to which the present invention belongs can make various modifications, as claimed in the following claims.

[0055] The following is information on the national research and development project that supported this invention. [Project-specific number] 1415182390 [Issue Number] 20226210100100 [Ministry / Agency Name] Ministry of Trade, Industry and Energy [Project Management (Specialized) Organization Name] Korea Energy Technology Assessment Institute [Research Project Name] Development Project for Sector Coupling Technology for Inter-sectoral Collaboration of Surplus Renewable Energy Power [Research Project Title] Development of Sector coupling, power-to-heat conversion and storage technology for electric boilers linked to integrated energy. [Implementing Organization Name] Masters Space Co., Ltd. [Research Period] August 1, 2022 - December 31, 2025 [Explanation of symbols]

[0056] 1000: Integrated operation system for electric boilers connected to collective energy systems 100: Electric boiler equipment 110: Equipment Department 111: Independent equipment 112: Combined power supply equipment 120:Measuring part 130: Equipment Management Department 200: Integrated Operations Server 210: Collection Server Section 220: Web Application Server Section 230: Optimization Engine Section 240: Big Data DB Server Section 250: Management DB section 300: Crypto exchange 310: Web Server Department 320: DB Server Section 1: Central administrator 2: Virtual Operator 3: Site manager 4: Other systems

Claims

1. An electric boiler system that produces and supplies heat or heat and electricity based on optimized control data, An integrated operation server generates optimized control data for output control and automatic power generation control of the electric boiler equipment based on metering data collected from the electric boiler equipment and power bidding data provided from a virtual exchange, and generates power bidding data for power trading based on the metering data. The virtual exchange includes: conducting bids for electricity trading based on the aforementioned electricity bidding data, generating electricity successful bid data according to the successful bid results, and providing it to the integrated operation server. An integrated operation system for electric boilers connected to collective energy, characterized by the following features.

2. The aforementioned electric boiler equipment is An equipment unit including at least one of the following: an independent unit consisting of an electric boiler for producing heat using purchased electricity, and a combined power unit attached to and combined with a cogeneration generator, consisting of an electric boiler for producing heat and electricity; Includes a metering unit that measures the heat production amount, power generation amount, and power consumption amount of the equipment unit and provides the measured data to the integrated operation server. An integrated operation system for an electric boiler connected to a collective energy source as described in claim 1.

3. The aforementioned electric boiler equipment is The facility management unit further includes a unit that issues optimized operation instructions for the equipment unit based on the optimized control data and provides optimized operation result data in accordance with the optimized operation instructions to the integrated operation server. An integrated operation system for an electric boiler connected to a collective energy source as described in claim 2.

4. The aforementioned integrated operation server is A weighing data collection server unit that collects the aforementioned weighing data, A web application server unit receives and monitors the optimization operation result data and the power bidding data, provides the metering data and the power bidding data to the optimization engine unit, receives the optimization control data and provides it to the electric boiler equipment, generates the power bidding data for purchasing the necessary power for the electric boiler equipment or selling piezoelectric power and provides it to the virtual exchange, The system includes an optimization engine unit that generates the optimization control data based on the aforementioned metering data and the aforementioned power bidding data. An integrated operation system for an electric boiler connected to a collective energy source as described in claim 3.

5. The aforementioned integrated operation server is The unit further includes a big data DB server that generates and manages the aforementioned measurement data and the aforementioned optimized operation result data as big data. An integrated operation system for an electric boiler connected to a collective energy source as described in claim 4.

6. The aforementioned web application server unit is: The system selects either cost minimization or profit maximization as an objective function, inputs the maximum / minimum cost and electricity trading price required to execute the objective function corresponding to the selected option, and transmits this information to the optimization engine. An integrated operation system for an electric boiler connected to a collective energy source as described in claim 4.

7. The optimization engine unit is The optimization control data is generated based on the aforementioned metering data, the electricity auction data, the objective function option selected by the web application server, and the maximum / minimum cost and electricity transaction price entered with respect to the selected objective function option. An integrated operation system for an electric boiler connected to a collective energy source as described in claim 6.

8. The optimization engine unit is Determine the type and operating mode of the cogeneration generator, the independent equipment, and the combined power supply equipment, respectively, and generate the optimized control data having the optimal solution for achieving the objective function in the determined operating mode. The aforementioned operating mode is: It is divided into two modes: Mode 1, which produces heat and electricity simultaneously, and Mode 3, which produces electricity only. An integrated operation system for an electric boiler connected to a collective energy source as described in claim 7.

9. The optimization engine unit is The optimization control data is generated by reflecting the preset minimum operating time and minimum downtime for the independent equipment and the combined power supply equipment. An integrated operation system for an electric boiler connected to a collective energy source as described in claim 8.

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