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마이크로그리드 간 P2P 에너지 거래를 위한 거래 운영 알고리즘
나의균(Ui-Kyun Na),김준성(Jun-Sung Kim),정재성(Jae-Sung Jung) 대한전기학회 2021 전기학회논문지 Vol.70 No.9
Research on microgrids for efficient use of distributed resources and renewable energy is being actively conducted. In domestic, FIT(Feed-in-Traiff) was applied to increase the penetration rate of renewable energy and distributed resources, and research is being conducted to enable efficient operation through predict of power generation, demand forecast and anomaly detection algorithm by combining with AI to improve the stability of MG operation. A electric power transaction model between MGs, like P2P(peer to peer) trading, has been proposed, but it is still incomplete. In this paper, we propose electric power transaction model between MGs. A correlation and dependence between weather elements and loads is performed and a load prediction model is proposed. In addition, we propose a transaction calculation algorithm that determines the transaction unit price for P2P energy transactions between MGs and a power transaction model which is an optimal matching algorithm for transactions between MGs where both sellers and buyers generate profits.
스쿨존 차량 제어를 위한 포그 플랫폼 기반의 신호등 시스템 구현 기술 연구
나의균 ( Ui-kyun Na ),심우희 ( Woo-hee Sim ),이은규 ( Eun-kyu Lee ) 한국정보처리학회 2017 한국정보처리학회 학술대회논문집 Vol.24 No.1
포그 컴퓨팅 기술은 물리적 환경과 빈번하게 상호작용이 일어나는 사이버-물리 시스템에서 네트워크의 엣지에 있는 시스템이 컴퓨팅 작업을 수행하도록 함으로써 지역의 데이터를 실시간으로 수집하고 처리할 수 있다. 본 논문에서는 스쿨존내에서 안전을 높이기 위한 횡단보도의 신호등에 포그 컴퓨팅 기술을 적용한다. 신호등 시스템은 횡단보도에 접근하는 자동차를 인지하고, 위험 상황을 미리 방지하기 위해 자동차를 제어할 수 있다. 실험을 위해 사물인터넷 기술을 이용해 소형 테스트베드를 만들었으며, 신호 정보를 변화시키며 실험을 수행한다.
김준성(Jun-Sung Kim),나의균(Ui-Kyun Na),송재주(Jae-Ju Song),정재성(Jae-Sung Jung) 대한전기학회 2021 전기학회논문지 Vol.70 No.8
In the case of renewable energy, power generation is affected by factors such as the external climate environment. In order to efficiently storage and use of renewable energy, Battery Energy Storage Systems (BESS) are being used. However, BESS faced issues such as fire accident and stability due to lack of optimization operating system. In this paper, we propose a predict system of solar power generation using the ANN(Artificial Neural Network) and an BESS operation scheduling algorithm for BESS optimization. In this paper, we verified the proposed algorithm for real-time output compensation service and BESS operation stability, and we expect to address the safety issues of BESS.