The real-time load fluctuation responsive power operation program is a software designed to address the increasing variability in renewable energy and energy consumption, aligning with global efforts towards decarbonization and carbon neutrality. It integrates real-time power operation technologies to adapt to the growing demand for energy and the rise of renewable energy sources.시간 순부하 변동에 대응하는 전력운영 프로그램은 세계적으로 탈탄소화 및 탄소중립에 맞추어 증가하는 재생에너지와 점점 더 증대되는 에너지 소비의 변동성에 대응하여 실시간으로 전력운영 기술을 탑재한 프로그램입니다.
2. Key Features
The program includes three main functionalities:
1. Power Operation State Classification: Classifies the power operation state.
2. City Droop Curve Functionality in Normal State: Utilizes the City Droop Curve in normal operating conditions.
3. Optimal Redispatch Functionality in Alert/Emergency State: Executes optimal redispatch in alert or emergency situations.
3. Technical Concept and Features
Power Operation State Classification: Classifies the current power operation state based on information from generators and loads within the jurisdictional area (small-scale power operation area).
City Droop Curve: Provides reserve power to the entire system corresponding to the system frequency when classified as a normal state in the power operation state classification.
Optimal Re-dispatch: Establishes economically optimal operation strategies for generators according to the new system operating conditions when classified as an alert/emergency state in the power operation state classification (occurrence of accidents within the system).
4. Utilization Scenarios
This real-time power operation program allows for efficient and stable energy operation by responding in real-time to unexpected fluctuations in power demand, particularly in small-scale power systems with a significant presence of renewable energy sources, rather than conventional thermal power plants.
It not only facilitates the operation of small-scale power systems but also provides flexibility to the entire system, enabling it to cope with the variability of renewable energy sources.
Method, apparatus, and computer program content for determining power supply from multiple power sources: Embodiments of the present invention determine the power supply from multiple power sources, including peer-to-peer (P2P) power suppliers.
The method for evaluating the economic feasibility of solar power generation using a computing device trained artificial neural network, according to one embodiment of the present invention, comprises obtaining user input for solar power generation conditions including existing electricity rates, wherein the existing electricity rates are based on the user's payment history for electricity rates before the installation of solar power generation facilities; calculating economic feasibility evaluation results including investment costs and unit period electricity generation based on the solar power generation conditions; and displaying the economic feasibility evaluation results.
Applicant: Korea University of Technology and Education Industry-Academic Cooperation Foundation / Raonfriends Co., Ltd.
The invention relates to a method for classifying the state of a small-scale power system, specifically aiming to classify the states of a small-scale power system where power sources including renewable energy, Energy Storage Systems (ESS), diesel generators, or gas turbines operate in parallel. It distinguishes between a normal state, where there is a balance between the power demand and supply, and an emergency state, where such balance cannot be achieved, aiming to prevent large-scale power outages.
The present invention relates to a method for generating flexible demand resource information. More specifically, it pertains to a method for generating flexible demand resource information that allows market participants in the power trading market to create and provide information on flexible demand resources, which are related to the amount of electricity usage that they can adjust in response to demand fluctuations ordered by demand management operators.
The method for evaluating the economic feasibility of solar power generation according to one embodiment of the present invention comprises: acquiring user input for solar power generation conditions, including at least one of solar installation type, solar power generation capacity, installation location, and existing electricity tariff; calculating economic evaluation results including investment costs, generation capacity per unit period, and revenue per unit period based on the solar power generation conditions; and displaying the economic evaluation results.
Applicant: RaonFriends Co., Ltd., Hannam University Industry-Academia Cooperation Foundation
This technology relates to a partial discharge diagnosis method and system, as well as a monitoring system for detecting degradation in molded transformers using this method. According to implementations of this technology, by distinguishing between noise and true discharges, it accurately diagnoses faults caused by degradation in molded transformers, thereby preventing accidents and ensuring the safe and continuous supply of electricity.
Applicant: OpEnerTech Co., Ltd., Korea Gas Corporation
The method of charging scheduling using an electric vehicle charging device equipped with multiple charging ports according to an embodiment of the present invention includes: confirming a first attribute value of one or more time slots included in a charging timetable; detecting one or more time slots corresponding to the first attribute value as chargeable time slots; providing charging information to the user, including chargeable time slots corresponding to charging time zones and charging amounts per slot; obtaining information about the user's desired charging time zone; extracting selected time slots corresponding to the user's desired charging time zone; and updating the first attribute value of the selected time slots to correspond to an unchargeable state and updating the second attribute value of the selected time slots to the user's identification information.
The present invention relates to a medical multifunctional suction catheter with IoT functionality that enhances user convenience by facilitating identification of the surgical site according to the surgical environment by adjusting the color temperature of the light source, and by equipping a suction unit and an air blower unit in one device, allowing the user to operate the suction unit and the air blower unit with one hand. The catheter includes a main body portion that can be gripped by the user; a stem portion extending outward from one end of the main body portion; an illumination unit provided on the stem portion capable of emitting light; a suction unit provided on the stem portion capable of suctioning foreign substances through suction pressure; and an air blower unit provided on the stem portion capable of injecting air.
Applicant: Raon Friends Co., Ltd., Chosun University Industry-Academic Cooperation Foundation
The method of scheduling charging using an electric vehicle charging device equipped with multiple charging ports, according to one embodiment of the present invention, includes confirming a first attribute value of one or more time slots included in a charging timetable, and detecting one or more time slots whose first attribute value corresponds to a chargeable state as chargeable time slots; providing charging information including chargeable time slots corresponding to chargeable time periods and slot-specific charging amounts of the chargeable time slots to a user; acquiring information about a user's desired charging time period, extracting a selected time slot corresponding to the user's desired charging time period; and updating the first attribute value of the selected time slot to a non-chargeable state corresponding value, and updating the second attribute value of the selected time slot to the user's identification information.
1. Technical Overview
The real-time load fluctuation responsive power operation program is a software designed to address the increasing variability in renewable energy and energy consumption, aligning with global efforts towards decarbonization and carbon neutrality. It integrates real-time power operation technologies to adapt to the growing demand for energy and the rise of renewable energy sources.시간 순부하 변동에 대응하는 전력운영 프로그램은 세계적으로 탈탄소화 및 탄소중립에 맞추어 증가하는 재생에너지와 점점 더 증대되는 에너지 소비의 변동성에 대응하여 실시간으로 전력운영 기술을 탑재한 프로그램입니다.
2. Key Features
The program includes three main functionalities:
1. Power Operation State Classification: Classifies the power operation state.
2. City Droop Curve Functionality in Normal State: Utilizes the City Droop Curve in normal operating conditions.
3. Optimal Redispatch Functionality in Alert/Emergency State: Executes optimal redispatch in alert or emergency situations.
3. Technical Concept and Features
Power Operation State Classification: Classifies the current power operation state based on information from generators and loads within the jurisdictional area (small-scale power operation area).
City Droop Curve: Provides reserve power to the entire system corresponding to the system frequency when classified as a normal state in the power operation state classification.
Optimal Re-dispatch: Establishes economically optimal operation strategies for generators according to the new system operating conditions when classified as an alert/emergency state in the power operation state classification (occurrence of accidents within the system).
4. Utilization Scenarios
This real-time power operation program allows for efficient and stable energy operation by responding in real-time to unexpected fluctuations in power demand, particularly in small-scale power systems with a significant presence of renewable energy sources, rather than conventional thermal power plants.
It not only facilitates the operation of small-scale power systems but also provides flexibility to the entire system, enabling it to cope with the variability of renewable energy sources.
System for calculating trade unit cost of electric power
복수의 전력 공급원으로부터의 전력 공급량을 결정하는 방법, 장치 및 컴퓨터 프로그램
DOI
Method, apparatus, and computer program content for determining power supply from multiple power sources: Embodiments of the present invention determine the power supply from multiple power sources, including peer-to-peer (P2P) power suppliers.
Method for providing user interfaces to evaluate the economics of solar power generation
태양광 발전의 경제성을 평가하기 위한 사용자 인터페이스 제공 방법
DOI
The method for evaluating the economic feasibility of solar power generation using a computing device trained artificial neural network, according to one embodiment of the present invention, comprises obtaining user input for solar power generation conditions including existing electricity rates, wherein the existing electricity rates are based on the user's payment history for electricity rates before the installation of solar power generation facilities; calculating economic feasibility evaluation results including investment costs and unit period electricity generation based on the solar power generation conditions; and displaying the economic feasibility evaluation results.
State classification method of small scale power system based on variations of net load
순부하 변동에 따른 소규모 전력계통의 상태 분류 방법
DOI
The invention relates to a method for classifying the state of a small-scale power system, specifically aiming to classify the states of a small-scale power system where power sources including renewable energy, Energy Storage Systems (ESS), diesel generators, or gas turbines operate in parallel. It distinguishes between a normal state, where there is a balance between the power demand and supply, and an emergency state, where such balance cannot be achieved, aiming to prevent large-scale power outages.
Method for generating flexible demand resource data
유연 수요 자원 정보 생성 방법
DOI
The present invention relates to a method for generating flexible demand resource information. More specifically, it pertains to a method for generating flexible demand resource information that allows market participants in the power trading market to create and provide information on flexible demand resources, which are related to the amount of electricity usage that they can adjust in response to demand fluctuations ordered by demand management operators.
METHOD OF EVALUATE A ECONOMIC FEASIBILITY OF SOLAR POWER GENERATION
태양광 발전의 경제성 평가 방법
DOI
The method for evaluating the economic feasibility of solar power generation according to one embodiment of the present invention comprises: acquiring user input for solar power generation conditions, including at least one of solar installation type, solar power generation capacity, installation location, and existing electricity tariff; calculating economic evaluation results including investment costs, generation capacity per unit period, and revenue per unit period based on the solar power generation conditions; and displaying the economic evaluation results.
Parital discharge diagnosis method and system, and mold transfomer deterioration monitoring system using the same
부분 방전 진단 방법 및 시스템, 이를 이용한 몰드 변압기 열화 모니터링 시스템
DOI
This technology relates to a partial discharge diagnosis method and system, as well as a monitoring system for detecting degradation in molded transformers using this method. According to implementations of this technology, by distinguishing between noise and true discharges, it accurately diagnoses faults caused by degradation in molded transformers, thereby preventing accidents and ensuring the safe and continuous supply of electricity.
Apparatus and method for charging scheduling of electronic vehicle
전기 자동차 충전 스케쥴링 장치 및 방법
DOI
The method of charging scheduling using an electric vehicle charging device equipped with multiple charging ports according to an embodiment of the present invention includes: confirming a first attribute value of one or more time slots included in a charging timetable; detecting one or more time slots corresponding to the first attribute value as chargeable time slots; providing charging information to the user, including chargeable time slots corresponding to charging time zones and charging amounts per slot; obtaining information about the user's desired charging time zone; extracting selected time slots corresponding to the user's desired charging time zone; and updating the first attribute value of the selected time slots to correspond to an unchargeable state and updating the second attribute value of the selected time slots to the user's identification information.
Multifunctional medical suction catheter
의료용 다기능 석션 카테터
DOI
The present invention relates to a medical multifunctional suction catheter with IoT functionality that enhances user convenience by facilitating identification of the surgical site according to the surgical environment by adjusting the color temperature of the light source, and by equipping a suction unit and an air blower unit in one device, allowing the user to operate the suction unit and the air blower unit with one hand. The catheter includes a main body portion that can be gripped by the user; a stem portion extending outward from one end of the main body portion; an illumination unit provided on the stem portion capable of emitting light; a suction unit provided on the stem portion capable of suctioning foreign substances through suction pressure; and an air blower unit provided on the stem portion capable of injecting air.
Method for making digital twin of solar cell
태양전지의 디지털 트윈 생성 방법
DOI
The method of scheduling charging using an electric vehicle charging device equipped with multiple charging ports, according to one embodiment of the present invention, includes confirming a first attribute value of one or more time slots included in a charging timetable, and detecting one or more time slots whose first attribute value corresponds to a chargeable state as chargeable time slots; providing charging information including chargeable time slots corresponding to chargeable time periods and slot-specific charging amounts of the chargeable time slots to a user; acquiring information about a user's desired charging time period, extracting a selected time slot corresponding to the user's desired charging time period; and updating the first attribute value of the selected time slot to a non-chargeable state corresponding value, and updating the second attribute value of the selected time slot to the user's identification information.