TSO-DSO COORDINATION FRAMEWORK UNDER HIGH PENETRATION LEVELS OF RENEWABLE ENERGY SOURCES

• Main Authors: LEE BYONG JUN, SON YONG JU, JANG GILSOO, JOO SUNG KWAN, CHOI SUNGYUN
• Format: Patent
• Language: English; Korean
• Published: 12.07.2023
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES; ELECTRICITY; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL; GENERATION; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; PERFORMING OPERATIONS; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TRANSPORTING; VEHICLES IN GENERAL

Disclosed is a method of transmission system operation and distribution system operation in an environment of increasing renewable energy supply. The method, which is performed by a computing device including at least a processor, comprises: a first optimization process of generating a demand response plan for the day based on information on a predicted renewable energy generation amount, a predicted load, a predicted electric vehicle output, a past electricity market price, and a past transmission system power demand; and a second optimization process of generating the scheduling information of a battery energy storage system and an electric vehicle based on the demand response plan for the day, the electricity market price for the day, and the power demand information of the transmission system for the day. Therefore, the sufficient use of distributed flexible resources and a high consumer participation level can be achieved. 재생에너지 보급 증가 환경에서의 송전계통운영 및 배전계통운영 방법이 개시된다. 상기 방법은 적어도 프로세서(processor)를 포함하는 컴퓨팅 장치에 의해 수행되고, 재생 에너지 발전 예측량, 부하 예측량, 전기차 출력의 예측량, 과거의 전력 시장 가격, 및 과거의 송전계통 전력 요구량에 대한 정보를 기초로 당일 수요반응 계획을 생성하는 제1 최적화 과정, 및 상기 당일 수요반응 계획, 당일의 전력 시장 가격, 및 당일의 송전계통 전력 요구량 정보를 기초로 배터리 에너지 저장 시스템 및 전기차 스케줄링 정보를 생성하는 제2 최적화 과정을 포함한다.