Apparatus for deriving design options of offshore wind farm and method thereof

Abstract

The method for deriving design options for an offshore wind farm according to the present invention is characterized by comprising the steps of: a processor receiving survey data for basic design assumptions of an offshore wind farm through a user interface unit; a processor receiving general specifications of an offshore wind farm through a user interface unit and deriving a system configuration; a processor designing options for the system configuration; a processor verifying whether the options conform to the survey data and licensing conditions; if the options conform to the survey data and licensing conditions, a processor designing options considering the facility margin to derive a result; a processor calculating the cost for the result; and a processor deriving candidate proposals for an optimal system based on the cost.

Description

Technology Field

[0001] The present invention relates to an apparatus and method for deriving design options for an offshore wind farm. Background Technology

[0002] Offshore wind power is one of the capital-intensive businesses, and developing 400 MW requires a project cost of approximately 2 to 3 trillion won. Offshore wind power projects are pursued through project financing for about 75% of the total project cost, rather than corporate finance.

[0003] As offshore wind projects progress from the development phase to the operation phase, risks decrease, and business risks are significantly reduced at the point of financial closing. This is because the contract is finalized during the EPC phase, and related risks are hedged against by the counterparty. Furthermore, this is the point at which the value of the project is maximized. To achieve this, the most critical factor for financial closing is to reduce uncertainty and risk by performing engineering tasks at each stage of the project, such as connection engineering, Pre-FEED, FEED, and Detailed design.

[0004] The power system of an offshore wind farm is largely composed of an internal network consisting of wind turbines and internal network cables, offshore substations and an external network for efficient energy transmission, and finally, onshore substations or shared connection facilities for connection to the KEPCO power grid.

[0005] However, in the case of large-scale 400MW-class offshore wind power projects, the phased design review has not been sufficiently conducted, and even when it is carried out, it is not performed in an appropriate manner due to a lack of relevant know-how and databases. Consequently, separate design work is not performed between the feasibility study and the basic design phase, which can lead to exposure to unexpected risks (e.g., changes in grid voltage, unconsidered system configurations) during the basic design stage, and this can act as one of the most critical factors for the success of the project.

[0006] The background technology of the present invention is disclosed in the ‘Virtual Reality Digital Twin System and Method for Offshore Wind Farms’ of Korean Registered Patent Publication No. 10-2213386 (February 2, 2021). The problem to be solved

[0007] The present invention was devised to improve upon the aforementioned problems, and the objective according to one aspect of the present invention is to provide an apparatus and method for deriving design options for an offshore wind farm, which presents an algorithm capable of deriving an optimal solution for electrical architecture options for the entire system prior to the Front-End Engineering Design (FEED) stage, reduces risk by performing and utilizing it during the business development stage, and minimizes uncertainty in future project execution by deriving system configuration plans and costs for each case. means of solving the problem

[0008] A method for deriving design options for an offshore wind farm according to one aspect of the present invention comprises: a step in which a processor receives survey data for basic design assumptions of an offshore wind farm through a user interface unit; a step in which the processor receives general specifications of an offshore wind farm through a user interface unit and derives a system configuration; a step in which the processor designs options for the system configuration; a step in which the processor checks whether the options conform to the survey data and licensing conditions; a step in which, if the options conform to the survey data and licensing conditions, the processor designs options considering the facility margin rate and derives a result; a step in which the processor calculates the cost for the result; and a step in which the processor derives candidate proposals based on the cost.

[0009] The above-mentioned survey data of the present invention is characterized by including at least one of the following: the scale of the offshore wind farm, distance, annual average wind speed, turbine type, turbine power curve, cable route, grid connection plan, and other permits.

[0010] The above general specification of the present invention is characterized by including at least one of the grid voltages that can be linked with the capacity of an offshore wind farm.

[0011] The above option of the present invention is characterized by including at least one of an OSS type and configuration option, and an external network voltage level and an external network cable configuration option.

[0012] In the step of designing options for the system configuration of the present invention, the processor is characterized by including at least one of a redundancy method according to the number of OSS, maintenance costs, volume and weight, a redundancy configuration plan through cables, types of submarine cables by voltage, and availability of submarine cables by voltage.

[0013] In the step of designing an option that takes into account the equipment margin of the present invention to derive a result, the processor is characterized by performing the design by taking into account the equipment margin of the transformer, circuit breaker, and cable.

[0014] In the step of designing an option that takes into account the facility margin of the present invention to derive a result, the processor performs the design by taking into account the capacity and location of the reactive power compensation device.

[0015] In the step of calculating the cost for the above-mentioned result of the present invention, the processor calculates CAPEX (Capital expenditures), calculates power loss and cost loss, and derives a loss considering the equipment configuration plan and equipment margin of the electrical system.

[0016] In the step of deriving candidate proposals for an optimal system according to the above costs of the present invention, the processor is characterized by normalizing the NPV (Normalized NPV) and deriving candidate proposals for the optimal system through priority using the normalized NPV.

[0017] An offshore wind farm design option derivation device according to one aspect of the present invention comprises: a user interface unit that receives survey data for basic design assumptions of an offshore wind farm and general specifications of an offshore wind farm; and a processor that derives a system configuration from the general specifications input from the user interface unit, designs options for the system configuration, checks whether the options conform to the survey data and licensing conditions, and if the options conform to the survey data and licensing conditions, designs options considering the facility margin to derive a result, calculates the cost for the result, and derives candidate proposals based on the cost.

[0018] The above-mentioned survey data of the present invention is characterized by including at least one of the following: the scale of the offshore wind farm, distance, annual average wind speed, turbine type, turbine power curve, cable route, grid connection plan, and other permits.

[0019] The above general specification of the present invention is characterized by including at least one of the grid voltages that can be linked with the capacity of an offshore wind farm.

[0020] The above option of the present invention is characterized by including at least one of an OSS type and configuration option, and an external network voltage level and an external network cable configuration option.

[0021] The processor of the present invention is characterized by considering at least one of a redundancy method based on the number of OSS, maintenance costs, volume and weight, a redundancy configuration plan through cables, types of submarine cables by voltage, and availability of submarine cables by voltage when designing options for the system configuration.

[0022] The processor of the present invention is characterized by performing a design that takes into account the equipment margin of transformers, circuit breakers, and cables when designing options that take into account the equipment margin to derive a result.

[0023] The processor of the present invention is characterized by performing the design by considering the capacity and location of the reactive power compensation device when designing an option that takes into account the facility margin rate to derive a result.

[0024] The processor of the present invention is characterized by calculating CAPEX (Capital expenditures), calculating power loss and cost loss, and deriving losses considering the equipment configuration plan and equipment margin of the electrical system when calculating the cost for the result.

[0025] The processor of the present invention is characterized by normalizing the NPV (Normalized NPV) when deriving candidate proposals according to the cost, and deriving candidate proposals through priority using the normalized NPV. Effects of the invention

[0026] An apparatus and method for deriving design options for an offshore wind farm according to one aspect of the present invention presents an algorithm capable of deriving an optimal solution for electrical architecture options for the entire system prior to the Front-End Engineering Design (FEED) stage, reduces risk by performing and utilizing it during the business development stage, and minimizes uncertainty in future project execution by deriving system configuration plans and costs for each case.

[0027] An apparatus and method for deriving offshore wind farm design options according to another aspect of the present invention enables the derivation of the most cost- or reliability-first electrical architecture option for a project by constructing case-by-case scenarios and optimizing the degree of modeling for each detailed configuration. Brief explanation of the drawing

[0028] FIG. 1 is a block diagram of an offshore wind farm design option derivation device according to one embodiment of the present invention. FIG. 2 is a flowchart of a method for deriving offshore wind farm design options according to an embodiment of the present invention. FIG. 3 is an example of input data according to one embodiment of the present invention. FIG. 4 is a diagram showing a primary input example according to one embodiment of the present invention. FIG. 5 is a diagram showing an example of an application for the use of power transmission electrical facilities based on power plant grid connection standards according to one embodiment of the present invention. FIG. 6 is a diagram showing known and unknown variables for an option design according to an embodiment of the present invention. FIG. 7 is a drawing showing a detailed option design example according to one embodiment of the present invention. FIG. 8 is a drawing showing the output according to the results of a detailed review according to one embodiment of the present invention. FIG. 9 is a drawing showing an optionaling plan according to one embodiment of the present invention. FIG. 10 is a diagram showing the input of reactive power compensation amount and the result value according to one embodiment of the present invention. FIG. 11 is a diagram showing information regarding the configuration of an electrical system and the specifications of an equipment based on known and unknown variables according to one embodiment of the present invention. FIG. 12 is a drawing showing the loss considering the equipment configuration plan and equipment margin of an electrical system according to one embodiment of the present invention. Specific details for implementing the invention

[0029] Hereinafter, an apparatus and method for deriving offshore wind farm design options according to an embodiment of the present invention will be described in detail with reference to the attached drawings. In this process, the thickness of lines or the size of components depicted in the drawings may be exaggerated for clarity and convenience of explanation. Furthermore, the terms described below are defined considering their functions in the present invention, and these may vary depending on the intentions or conventions of the user or operator. Therefore, the definitions of these terms should be based on the content throughout this specification. The result calculated according to the method for deriving offshore wind farm design options according to an embodiment of the present invention enables the derivation of the total project cost for the operator for a future EPC contract.

[0030] This embodiment relates to an optimization method from the initial business stage to the FFED stage of the entire process.

[0031] To this end, the present embodiment enables the business to proceed more flexibly by eliminating uncertainty and securing options early through an optioneering method for deriving the optimal electric architecture, by deriving the priorities and respective risks of the electric architecture that the operator can obtain through technically feasible cases and associated cost calculations.

[0032] FIG. 1 is a block diagram of an offshore wind farm design option derivation device according to one embodiment of the present invention.

[0033] Referring to FIG. 1, an offshore wind farm design option derivation device according to one embodiment of the present invention includes a user interface unit (100) and a processor (200).

[0034] The user interface section (100) provides a user interface.

[0035] The user interface section (100) inputs various data for deriving offshore wind farm design options.

[0036] For example, the user interface section (100) can input survey data for basic design assumptions.

[0037] Survey data may include site conditions and general project conditions, but are not specifically limited.

[0038] The user interface section (100) outputs various results in the process of deriving offshore wind farm design options.

[0039] The user interface section (100) may be provided as a user interface such as a keyboard, mouse, touchpad, touchscreen, electronic pen, touch button, etc. It may also include a printer, display, etc. to output data. Here, the display may be implemented as, for example, a TFT-LCD (Thin film transistor-liquid crystal display) panel, an LED (Light emitting diode) panel, an OLED (Organic LED) panel, an AMOLED (Active matrix OLED) panel, or a flexible panel.

[0040] The processor (200) enables the derivation of an optimal solution for electrical architecture options for the entire system required prior to the basic design (FEED) stage, based on various data input from the user interface unit (100). This will be explained with reference to FIGS. 2 to 12.

[0041] FIG. 2 is a flowchart of a method for deriving offshore wind farm design options according to an embodiment of the present invention.

[0042] First, the processor (200) receives site conditions and general project conditions through the user interface unit (100) (S100).

[0043] Input data corresponding to site conditions and general project conditions are survey data for basic design assumptions and are factors used in optionaleering.

[0044] FIG. 3 is an example of input data according to one embodiment of the present invention.

[0045] Referring to Figure 3, the factors used for optionaleering may include the size of the complex, distance, average annual wind speed, type of turbine (if possible), power curve of the turbine (if possible), cable route (if possible), grid connection plan, and other permits, but are not specifically limited.

[0046] For reference, the data that can be entered into this stage is limited during the initial stage of the project, but it can be periodically updated through the survey data input process (S800) in the future. In other words, even though the currently available data is limited, this embodiment can review various options and present the optimal solution.

[0047] Next, the processor (200) receives general specifications through the user interface unit (100) (S200). Through this, the processor (200) can derive the configuration of the power plant system using only the capacity of the actual project (at the time of application for power generation business license) and the grid voltage.

[0048] FIG. 4 is a diagram showing a first input example according to one embodiment of the present invention, FIG. 5 is a diagram showing an example of an application for use of power transmission electrical facilities based on power plant grid connection standards according to one embodiment of the present invention, and FIG. 6 is a diagram showing known variables and unknown variables for option design according to one embodiment of the present invention.

[0049] Referring to FIGS. 4 to 6, the capacity of the complex is first set, and the system voltage that can be connected, as presented in the application for use of power transmission facilities, is primarily input.

[0050] Next, the processor (200) derives various option elements using the input values ​​in Fig. 4.

[0051] For example, in the development phase where a turbine has not yet been selected, reviewing the internal network is not critical (optimization is possible through a sub-optimization process after the turbine is selected), and option design for facilities downstream of the substation can be done based solely on the total capacity of the complex.

[0052] Options may include OSS type and configuration options, and external network voltage level and external network cable configuration options.

[0053] Next, the processor (200) sets a detailed option design for the system configuration derived from the above process (S300).

[0054] At this time, the processor (200) can conduct a review of economic and technical feasibility based on the number of OSS and a study on voltage levels.

[0055] The review elements are as shown in Fig. 7.

[0056] FIG. 7 is a drawing showing a detailed option design example according to one embodiment of the present invention.

[0057] The result is derived in the form of a matrix of voltage levels and the number of OSS.

[0058] Here, a detailed review can be conducted to determine whether to reflect complex advantages and disadvantages based on economic feasibility.

[0059] Detailed review factors may include redundancy methods based on the number of OSS (primary side, secondary side connection), maintenance costs, volume and weight, redundancy configuration plans via cables, types of submarine cables by voltage (Dry, Semi-Dry, Wet / Cu, Al / Armour type (STS, Galvinized)), and availability of submarine cables by voltage.

[0060] FIG. 8 is a drawing showing the result of a detailed review according to one embodiment of the present invention.

[0061] Referring to Fig. 8, the results of the detailed option design settings may include external network voltage, OSS quantity, transformer quantity, and cable quantity for each case, and are not specifically limited and can be expanded in various ways.

[0062] Additionally, since the processor (200) is in a stage where the survey required for basic design and offshore wind power project development has not been sufficiently carried out, the burial depth, protection method, water temperature, etc. for offshore and onshore cables can be assumed to be severe among the options by referring to IEC standards.

[0063] In addition, the processor (200) can utilize existing installation conditions, etc., since it is located adjacent to the demonstration complex in the case of a pilot project. Therefore, it can also secure and update nearby data (S800).

[0064] Next, the processor (200) derives the type of option to be performed in the future and checks whether it is in accordance with the current investigation data and other licensing conditions (S400).

[0065] This is because if the results of licensing or investigations are updated during the process, there may be optional engineering review conditions that do not reflect this.

[0066] If there is an element that does not satisfy the condition, the processor (200) returns to step S100, updates the condition, and then repeats the subsequent process.

[0067] Next, the processor (200) performs a redundancy analysis (S500). That is, the processor (200) performs an option design considering the equipment margin.

[0068] Redundancy analysis is the part that has the greatest impact on economic feasibility in this embodiment. While detailed review must be conducted during the Front-End Engineering Design (FEED) phase, some aspects also require policy decisions.

[0069] Accordingly, the processor (200) performs an option design that takes into account the redundancy of the transformer, circuit breaker, and cable.

[0070] In addition, the processor (200) incorporates the capacity and location (onshore and offshore ratio) of the reactive power compensation device into the option design because they are very important for system operation in offshore wind power projects.

[0071] FIG. 9 is a diagram showing an optionaleering plan according to an embodiment of the present invention, FIG. 10 is a diagram showing the input of a reactive power compensation amount and the result value according to an embodiment of the present invention, and FIG. 11 is a diagram showing information on the configuration of an electrical system and the specifications of an equipment based on known variables and unknown variables according to an embodiment of the present invention.

[0072] The optionaleering plan derived through redundancy analysis is as shown in Fig. 9.

[0073] Referring to Fig. 9, the optional planning may include external network voltage, OSS quantity, transformer quantity, gable quantity, reactive power compensation (offshore / shore), and equipment margin.

[0074] At this time, the amount of reactive power compensation applied can be input as follows, and the result is calculated as shown in Fig. 10.

[0075] In this process, results are produced as shown in Fig. 11, and information regarding the configuration of the electrical system and the specifications of the equipment can be provided based on known and unknown variables illustrated in Fig. 6.

[0076] Referring to FIG. 11, information regarding the configuration of the electrical system and the specifications of the equipment may include voltage, the number of offshore substations, the number of cables, the grid connection voltage, and the reactive power compensation ratio based on general unknown variables. Based on the external network cable unknown variables, conductor configuration, armor configuration, and cable size (per section) may be included. Based on the offshore substation unknown variables, the number of transformers and the number of reactive power compensation devices may be included. Based on the connection equipment unknown variables, secondary side (connection) voltage, the number of transformers, the number of reactive power compensation devices, STATCOM, and harmonic filters may be included.

[0077] Next, the processor (200) performs a cost model analysis (S600).

[0078] The processor (200) performs the task of calculating the cost for the derived final result, and can calculate CAPEX (Capital expenditures) including the specifications of the equipment of FIG. 11.

[0079] Meanwhile, at the current stage, calculating detailed OPEX (Operating expenditure) costs is not only largely meaningless but also difficult to derive in detail.

[0080] Accordingly, the processor (200) calculates the failure power and failure cost (calculated through wind speed data and the turbine's power curve) by considering the failure rate and MTTR, and derives the loss by considering various equipment configurations and equipment margins of the electrical system.

[0081] FIG. 12 is a diagram showing the loss considering the equipment configuration plan and equipment efficiency of an electrical system according to one embodiment of the present invention.

[0082] Referring to Fig. 12, losses considering the equipment configuration plan and equipment margin may include cable losses, substation losses, annual cable failure losses, annual substation failure losses, total losses, and total loss costs, but are not specifically limited.

[0083] Next, the processor (200) derives the cost of the sum of CAPEX and OPEX through NPV (Net present value) and derives the optimal solution and candidate solutions for the optimal system through priority using Normalized NPV (S700). Through this, the processor (200) is able to suggest a direction for the next step.

[0084] NPV can be calculated using the following mathematical formula.

[0085]

[0086] Here, n is the total duration of the project, r is the discount rate, Ct is the net cash flow over time, and Co is the invested capital.

[0087] The implementations described herein may be implemented, for example, as methods or processes, devices, software programs, data streams, or signals. Even if discussed only in the context of a single form of implementation (e.g., discussed only as a method), the implementation of the discussed features may also be implemented in other forms (e.g., devices or programs). Devices may be implemented in appropriate hardware, software, and firmware, etc. Methods may be implemented in devices such as processors, which generally refer to processing devices including, for example, computers, microprocessors, integrated circuits, or programmable logic devices. Processors also include communication devices such as computers, cell phones, portable / personal digital assistants ("PDAs"), and other devices that facilitate the communication of information between end-users.

[0088] Although the present invention has been described with reference to the embodiments illustrated in the drawings, this is merely illustrative and those skilled in the art will understand that various modifications and equivalent alternative embodiments are possible therefrom. Accordingly, the true technical scope of protection of the present invention should be determined by the claims below. Explanation of the symbols

[0089] 100: User Interface Section 200: Processor

Claims

Claim 1 A step in which a processor receives survey data for basic design assumptions of an offshore wind farm through a user interface unit; a step in which the processor receives general specifications of the offshore wind farm through a user interface unit and derives a system configuration; a step in which the processor designs options for the system configuration; a step in which the processor verifies whether the options comply with the survey data and licensing conditions; a step in which, if the options comply with the survey data and licensing conditions, the processor designs options considering the equipment capacity margin and derives a result; a step in which the processor calculates the cost for the result. A method for deriving design options for an offshore wind farm, characterized in that the processor includes a step of deriving candidate proposals according to the cost, and in the step of deriving a result by designing an option considering the facility margin rate, the processor performs a design considering the facility margin rate of transformers, circuit breakers, and cables, and in the step of deriving a result by designing an option considering the facility margin rate, the processor performs a design considering the capacity and location of a reactive power compensation device, and in the step of calculating the cost for the result, the processor calculates CAPEX (Capital expenditures), calculates fault-induced power and fault-induced costs, and derives losses considering the facility configuration plan and facility margin rate of the electrical system, and in the step of deriving candidate proposals according to the cost, the processor normalizes the NPV (Normalized NPV) and derives candidate proposals through priority based on the normalized NPV. Claim 2 A method for deriving design options for an offshore wind farm according to claim 1, characterized in that the survey data includes at least one of the offshore wind farm size, distance, annual average wind speed, turbine type, turbine power curve, cable route, grid connection plan, and other permits. Claim 3 A method for deriving offshore wind farm design options according to claim 1, wherein the general specification includes at least one of the grid voltages that can be linked with the capacity of the offshore wind farm. Claim 4 A method for deriving offshore wind farm design options according to claim 1, characterized in that the above option includes at least one of an OSS type and configuration option, and an external network voltage level and an external network cable configuration option. Claim 5 A method for deriving offshore wind farm design options according to claim 1, wherein, in the step of designing options for the system configuration, the processor includes at least one of a redundancy method according to the number of OSS, maintenance costs, volume and weight, a redundancy configuration plan through cables, types of submarine cables by voltage, and availability of submarine cables by voltage. Claim 6 delete Claim 7 delete Claim 8 delete Claim 9 delete Claim 10 A user interface section that receives survey data for basic design assumptions of an offshore wind farm and general specifications of an offshore wind farm; The system configuration is derived from the general specifications input from the user interface unit, and after designing options for the system configuration, the system configuration is verified to see if the options comply with survey data and licensing conditions. If the options comply with the survey data and licensing conditions, the system configuration is derived by designing options that consider the equipment margin rate, and if the options comply with the survey data and licensing conditions, the system configuration is derived by designing options that consider the equipment margin rate. The system configuration is then calculated for the resulting product, and candidate solutions are derived based on the calculated costs. When the system configuration is derived by designing options that consider the equipment margin rate, the system configuration is performed by considering the capacity and location of reactive power compensation devices. When the system configuration is calculated for the resulting product, the system configuration is performed by calculating CAPEX (Capital expenditures), calculating fault delay power and fault delay costs (calculated through wind speed data and turbine power curves), and deriving losses that consider the electrical system configuration plan and the equipment margin rate. When the system configuration is derived based on the calculated costs, An offshore wind farm design option derivation device characterized by normalizing the NPV (Normalized NPV) and deriving candidate proposals through priority based on the normalized NPV. Claim 11 An offshore wind farm design option derivation device according to claim 10, characterized in that the above-mentioned survey data includes at least one of the offshore wind farm site size, distance, annual average wind speed, turbine type, turbine power curve, cable route, grid connection plan, and other permits. Claim 12 An offshore wind farm design option derivation device characterized in that, in item 10, the above general specification includes at least one of the grid voltages that can be linked with the capacity of the offshore wind farm. Claim 13 An offshore wind farm design option derivation device characterized in that, in claim 10, the above option includes at least one of an OSS type and configuration option, and an external network voltage level and an external network cable configuration option. Claim 14 An offshore wind farm design option derivation device according to claim 10, characterized in that, when designing options for the system configuration, the processor considers at least one of a redundancy method based on the number of OSS, maintenance costs, volume and weight, a redundancy configuration plan through cables, types of submarine cables by voltage, and availability of submarine cables by voltage. Claim 15 delete Claim 16 delete Claim 17 delete Claim 18 delete

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