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Power Control of Energy Storage System in Microgrid considering the Hosting Capacity
Kyung-Sang Ryu(유경상),Chan-Soo Kim(김찬수),Yang-Hyun Nam(남양현),Dae-Jin Kim(김대진),Byungki Kim(김병기) 대한전기학회 2021 전기학회논문지 Vol.70 No.12
Microgrid(MG) pursues its economic power distribution in order to maximize its efficiency and also business expansion. To achieve it, an energy management system(EMS) is key technology. The ultimate pursuit of the MG is to minimize the use of diesel fuel by making the most of renewable energy. This paper proposes a power control algorithm of energy storage system(ESS) in stand-alone MG that considers the hosting capacity as an index to minimize the size of diesel generator(DG) capacity. For this, the ESS is installed at the end of the line of the MG and uses a bi-directional power flow between the DG and the ESS to increase the hosting capacity of the load and renewable energy. In addition, by using ESS, customers and renewable energy exceeding the capacity of DG are stably introduced without adding facilities to the grid. The simulation results using Matlab/Simulk show the effectiveness of the proposed algorithm.
ESS 설치 위치에 따른 신재생에너지 수용성 비교 분석
유경상(Kyung-Sang Ryu),김호찬(Ho-Chan Kim) 대한전기학회 2021 대한전기학회 학술대회 논문집 Vol.2021 No.10
본 논문에서는 저압배전계통에서 ESS의 설치 위치에 따른 신재생에너지의 수용성을 비교 분석한다. 즉, ESS를 선로의 직하, 중간, 말단에 각각 연계하고 신재생에너지의 용량을 증가시키면서 각 bus에 측정된 전압 및 선로용량을 기록한다. 이 때 전압 및 선로용량은 저압계통의 전압 범위(220±6%)를 만족하고 각 bus에서 측정된 전력은 선로 용량 이하여만 한다. 이를 위해 신재생에너지, ESS가 연계된 저압배전계통을 상용 소프트웨어인 PSCAD/EMTDC로 구성하고 시뮬레이션을 통해 어느 지점에 ESS가 설치할 경우 신재생에너지를 가장 많이 수용할 수 있는지를 분석한다.
유경자(Kyung Ja Ryu) 한국현대소설학회 2012 현대소설연구 Vol.- No.49
Yonghak Chang has been evaluated as the most esoteric writer in Korean literature history and simultaneously appraised and criticized by the literary establishment for a variety of formal experiments in his novels. This article is focused on the study of his most disputed writing style by the analysis of self-reflexivity and metafictional writing style represented in his novels. Many novels written by Yonghak Chang show the process of creating art with presenting artists as characters. They represent self-reflexivity which is the archetypal feature of metafictional writing in that they focus on the process of creating art. In ``Caricature``, the process of painting is reproduced in a novel and the art is also caricatured. Art is no more considered sophisticated and its effect becomes meaningless in the face of poverty in the modern times of expanding materialism. An abstract painters appear as the main characters in ``The birth of the inhuman`` and ``The Bronze Age``, where the reality is recomposed into fiction to them. The dialogue on the main character`s painting between the painter and the reader and the criticism on the abstract painting by the critic show that the reality cannot be reproduced. In ``Daegwallyeong``, the writer presumes reader`s unfavorable responses after the publication of the novel and removes the difference between the creation and the criticism in the course of novelization through parody and metafictional writing. ``The son of the sun`` reveals the fictiveness of the novel by metafictional writing, parodying a popular novel. In this way, Yonghak Chang has continuously grappled with the matter of writing and criticized the real world filled with fictiveness by presenting artists as main characters in his novels and giving shape to the process of creating novels and paintings.
유경상(Kyung-Sang Ryu),김호찬(Ho-Chan Kim) 한국전기전자학회 2020 전기전자학회논문지 Vol.24 No.1
본 논문은 역전파 뉴럴 네트워크(Back Propagation Neural Network; BPNN) 알고리즘을 이용한 배터리 셀의 잔존용량(State Of Charge; SOC) 추정 방법을 제안한다. 이를 위해 배터리 성능평가 시뮬레이터를 구현하고 다양한 온도에서의 충방전 실험을 통해 뉴럴 네트워크 학습에 필요한 입출력 데이터를 도출한다. 최종적으로 배터리의 SOC 추정 성능은 Matlab/Simulink 프로그램을 이용하여 Ah-counting에 의한 실험치와 비교를 통해 분석하고 오차율을 3% 미만으로 줄일 수 있음을 시뮬레이션을 통해 확인한다. This paper proposes a method of estimating the SOC(State of Charge) of a battery cell using a neural network algorithm. To this, we implement a battery SOC estimation simulator and derive input and output data for neural network learning through charge and discharge experiments at various temperatures. Finally, the performance of the battery SOC estimation is analyzed by comparing with the experimental value by Ah-counting using Matlab/Simulink program and confirmed that the error rate can be reduced to less than 3%.