KR-20260067227-A - Method for reliability analysis of MVDC system and computing device for performing same

Abstract

A method for analyzing the reliability of an MVDC system and a computing device for performing the same are disclosed. A reliability analysis method according to one disclosed embodiment includes the steps of identifying each component of a Medium Voltage Direct Current (MVDC) system, collecting fault-related data for each component, calculating a preset basic reliability index for each load point of the MVDC system based on the fault-related data, and calculating the total reliability value of the load point due to a power outage based on the basic reliability index for each load point and the power outage cost of the load point.

Inventors

• 문원식
• 조동일
• 조윤진

Assignees

• 숭실대학교산학협력단

Dates

Publication Date

20260512

Application Date

20241105

Claims (10)

1. One or more processors, and A method performed in a computing device having a memory for storing one or more programs executed by the above-mentioned one or more processors, wherein A step of identifying each component of the MVDC (Medium Voltage Direct Current) system; A step of collecting failure-related data for each of the above components; A step of calculating a preset basic reliability index for each load point of the MVDC system based on the above fault-related data; and A method for analyzing the reliability of an MVDC system, comprising the step of calculating the total reliability value of a load point due to a power outage based on a basic reliability index for each load point and the power outage cost of the load point.
2. In claim 1, The above basic reliability index is, A reliability analysis method for an MVDC system, including a power outage rate, annual power outage time, and power outage time for each load point of the MVDC system.
3. In claim 2, The step of calculating the total reliability value of the above load points is, A step of calculating the outage cost of a load point due to an outage based on a pre-set Customer Damage Function (CDF) and the outage time of the load point; and A method for analyzing the reliability of an MVDC system, comprising the step of calculating the reliability value of a load point due to a specific power outage based on the power outage cost of the load point, the load amount of the load point, and the power outage rate of the load point.
4. In claim 3, A reliability analysis method for an MVDC system in which the reliability value of a load point due to the above-mentioned specific power outage is calculated by the following mathematical formula. (Mathematical formula) : Reliability value of load point p according to power outage j : Outage cost of load point p due to outage j : Load amount at load point p : Electricity at load point p
5. In claim 3, The step of calculating the total reliability value of the above load points is, A reliability analysis method for an MVDC system, further comprising the step of calculating a total reliability value for the load point by summing the reliability values for all power outages affecting the load point.
6. In claim 1, The above reliability analysis method is, A method for analyzing the reliability of an MVDC system, further comprising the step of calculating a pre-set distribution system reliability index based on failure-related data of each of the above components.
7. In claim 6, The above distribution system reliability index is, A reliability analysis method for an MVDC system comprising one or more of the System Average Interruption Duration Index (SAIDI), the System Average Interruption Frequency Index (SAIFI), and the Expected Energy Not Suppl Index (EENS).
8. In claim 6, The above reliability analysis method is, A method for analyzing the reliability of an MVDC system, further comprising the step of calculating the correlation between the distribution system reliability index and the total reliability value for each of the above load points.
9. One or more processors; Memory; and Includes one or more programs, The above one or more programs are stored in the memory and configured to be executed by the above one or more processors, and The above one or more programs are, Command for identifying each component of an MVDC (Medium Voltage Direct Current) system; A command for collecting failure-related data for each of the above components; A command to calculate a preset basic reliability index for each load point of the MVDC system based on the above fault-related data; and A computing device comprising a command for calculating the total reliability value of a load point due to a power outage based on a basic reliability index for each load point and the power outage cost of the load point.
10. As a computer program stored on a non-transitory computer-readable storage medium, The above computer program includes one or more instructions, and when the instructions are executed by a computing device having one or more processors, the computing device, A step of identifying each component of the MVDC (Medium Voltage Direct Current) system; A step of collecting failure-related data for each of the above components; A step of calculating a preset basic reliability index for each load point of the MVDC system based on the above fault-related data; and A computer program that performs the step of calculating the total reliability value of a load point due to a power outage based on the basic reliability index for each load point and the power outage cost of the load point.

Description

Method for reliability analysis of MVDC system and computing device for performing same An embodiment of the present invention relates to a reliability analysis technique for an MVDC (Medium Voltage Direct Current) system. Medium Voltage Direct Current (MVDC) technology is a system that transmits direct current power in a voltage range of 1.5kV to 100kV. Compared to conventional AC systems, this technology offers lower power loss and provides efficiency and flexibility in power systems. Recently, research on the introduction of MVDC systems has been increasing due to the diversification of energy resources and the growing demand for power. Accordingly, when introducing MVDC systems into power grids, it is essential to develop reliability assessment technologies capable of quantitatively determining the ripple effects of system failures. Furthermore, it is crucial to accurately evaluate system reliability and predict the costs associated with power outages that may occur in the event of a failure. FIG. 1 is a block diagram illustrating a computing environment including a computing device suitable for use in exemplary embodiments. FIG. 2 is a flowchart illustrating a reliability analysis method for an MVDC system according to an embodiment of the present invention. FIG. 3 is a graph showing the correlation between the first distribution system reliability index (SAIDI) and the total reliability value of the load point in one embodiment of the present invention. FIG. 4 is a graph showing the correlation between the second distribution system reliability index (SAIFI) and the total reliability value of the load point in one embodiment of the present invention. FIG. 5 is a graph showing the correlation between the third distribution system reliability index (EENS) and the total reliability value of the load point in one embodiment of the present invention. FIG. 6 is a diagram showing that, in one embodiment of the present invention, the components of an MVDC system are classified into an AC Yard, an MMC (Modular Multi-level Converter), and a DC Yard. Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. The following detailed description is provided to facilitate a comprehensive understanding of the methods, apparatuses, and/or systems described herein. However, this is merely illustrative and the present invention is not limited thereto. In describing the embodiments of the present invention, detailed descriptions of known technologies related to the present invention are omitted if it is determined that such detailed descriptions may unnecessarily obscure the essence of the present invention. Furthermore, the terms described below are defined in consideration of their functions within the present invention, and these may vary depending on the intentions or practices of the user or operator. Therefore, such definitions should be based on the content throughout this specification. Terms used in the detailed description are intended merely to describe the embodiments of the present invention and should not be limiting in any way. Unless explicitly stated otherwise, expressions in the singular form include the meaning of the plural form. In this description, expressions such as "include" or "comprise" are intended to refer to certain characteristics, numbers, steps, actions, elements, parts thereof, or combinations thereof, and should not be interpreted to exclude the existence or possibility of one or more other characteristics, numbers, steps, actions, elements, parts thereof, or combinations thereof other than those described. In the following description, terms such as "transmission," "communication," "transmission," "reception," and other terms of similar meaning regarding signals or information include not only the direct transfer of signals or information from one component to another but also the transfer through other components. In particular, "transmission" or "transmitting" a signal or information to one component refers to the final destination of the signal or information and does not mean a direct destination. The same applies to the "reception" of signals or information. Furthermore, in this specification, two or more data or information are "related" means that if one data (or information) is obtained, at least a portion of another data (or information) can be obtained based thereon. Additionally, terms such as "first," "second," etc., may be used to describe various components, but said components should not be limited by said terms. These terms may be used for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. FIG. 1 is a block diagram illustrating a computing environment (10) including a computing device suitable for use in exemplary embodi