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변전소내 지역정보를 이용하여 안정도 향상을 위한 실시간 OLTC 및 커패시터 협조제어 알고리즘
강상균,Kang, Sang-Gyun 한국산업정보학회 2012 한국산업정보학회논문지 Vol.17 No.7
본 논문은 변전소 내에서 취득된 데이터만을 이용하여 전계통 전압안정도를 확보하기 위한 실시간 변전소내 OLTC(On-Load Tap Changer)와 S.S(Switched Shunt)와의 협조제어 알고리즘을 제안하고자 한다. 전압레벨을 일정한 값으로 유지시키기 위해서 동작하는 OLTC의 제어를 잘못하게 된다면 오히려 계통의 안정도(전압안정도) 를 해치는 결과를 나타낼 수 있다. 이 논문에서는 단일 변전소에서 취득된 데이터만으로 전체 시스템의 상태를 판단할 수 있는 Z-index를 이용하였다. Z-index를 이용하여 시스템을 normal 상태와 abnormal 상태로 구분하였고, 각 상태에 따른 협조제어 알고리즘을 제안하였다. 알고리즘 검증을 위해서 Hypersim과 matlab simulink를 이용하였다. This paper suggest the on-line coordination control between on-load tap changers and Switched Shunts for ensuring the voltage stability using local data obtained from one substation. Inappropriate control of on-load tap changers that are able to maintain voltage profile might cause unintended result that is harmful to system stability, especially voltage stability. This paper utilizes Z-index that could inform the whole system condition from only one substation data. Simulation is performed using the HYPERSIM that is a digital simulator and matlab simulink to confirm the proposed algorithm.
시뮬레이션 기반 최적화 기법을 적용한 발전력 재분배 알고리즘
강상균(Sang-Gyun Kang),송화창(Hwachang Song) 한국지능시스템학회 2014 한국지능시스템학회논문지 Vol.24 No.1
본 논문은 풍력에너지가 전력계통에 투입되었을 때 전압안정도 마진을 보장할 수 있도록 최적화 기법을 적용한 발전력 재분배 알고리즘에 대하여 제안하고자 한다. 풍력발전기는 대부분 유도기로 구성되기 때문에 일반적으로 풍력발전기가 기존 전력계통에 투입되는 경우 우리는 전압안정도와 같은 문제를 고려해야 한다. 풍력발전기가 계통에 투입되는 비중이 증가하는 경우 전압안정도와 같은 계통의 전반적인 안정도 문제에 영향을 미치게 된다. 본 논문에서는 ‘Area 1’과 ‘Area 2’로 구성되어 있는 2-area 계통을 고려하고자 한다. ‘Area 1’내의 발전기의 발전비용이 ‘Area 2’지역보다 상대적으로 비싸고 ‘Area 1’내의 부하량이 ‘Area 2’내의 부하량보다 더 많다고 가정하면, 계통운영자는 경제성 관점에서 보면 값비싼 ‘Area 1’ 내의 발전기의 출력은 감소시키고, ‘Area 2 지역내의 발전기 출력을 증가시키려고 할 것이다. 반면에 안정도 관점에서 보면 오히려 ’Area 1’ 지역내의 발전기 출력을 증가시켜야 하기 때문에 trade-off 점이 존재한다. 전력계통 해석은 비선형성이 매우 강하기 때문에 안정도 문제를 포함한 최적화 문제를 수치적으로 해결하기에 어려움이 많다. 따라서 본 논문에서는 시뮬레이션 기반의 최적화 알고리즘인 유전알고리즘을 적용하여 본 문제를 해결하고자 한다. 시뮬레이션을 위해서 New England 계통을 이용하였고, 알고리즘은 Python 2.5로 구현하였다. This paper suggests the optimal generation dispatch algorithm for ensuring voltage stability margin considering high wind energy injection. Generally, with wind generation being installed into the power system, we would have to consider several factors such as the voltage stability margin because wind turbine generators are mostly induction machines. If the proportion of wind generation increases in the power system increases this would affect the overall stability of the system including the voltage stability. This paper considers a specific system that is composed of two areas: area 1 and area 2. It is assumed that generation cost in area 1 is relatively higher than that in area 2. From an economic point of view generation in area 1 should be decreased, however, in the stability point of view the generation in area 2 should be decreased. Since the power system is a nonlinear system, it is very difficult to find the optimal solution and the genetic algorithm is adopted to solve the objective function that is composed of a cost function and a function concerned with voltage stability constraints. For the simulations, the New England system was selected. The algorithm is implemented and Python 2.5.
무균 돈사 환경 모니터링을 위한 대기 중 미생물 탐지기법 확립
이덕용,서연수,강상균,유한상,Lee, Deok-Yong,Seo, Yeon-Soo,Kang, Sang-Gyun,Yoo, Han Sang 대한수의학회 2006 大韓獸醫學會誌 Vol.46 No.3
Experimental animals have been used to biological and medical purposes and the animals must be, for these purposes, healthy and clean to microbial infection. However, the animals can be easily exposed to pathogenic microorganism via several routes. Of the routes, environmental conditions are the most important factors to keep the animals healthy and clean, especially air condition. Monitoring of air-condition has been required to keep the animal healthy and clean. However, any guideline is not available for experimental conditions with pigs. Therefore, the sampling times and points were compared in different conditions to establish an optimal protocol for monitoring of air borne bacteria. Tryptic soy agar(TSA), blood agar containing 5% defibrinated sheep blood and Sabraud dextrose agar(SDA) were used as media to capture total bacteria, pathogenic bacteria and fungi, respectively. Two methods, compulsive capture using an air-sampler and capturing fall-down bacteria were used to capture the microorganisms in the air. The points and time of capturing were different at each experiment. Air borne microorganisms were captured at three and five points in the open and closed equipments, respectively. Air was collected using an air-sampler for 1 min and 5 min and the agar plates as open status were left from 30 min to 2hr. At first, we monitored an experimental laboratory which dealt with several pathogenic bacteria and then, a protocol obtained from the investigation was applied to open or close experimental conditions with pigs. Number of bacteria was high from 10:00 to 15:00, especially on 13:30-15:30 but sharply decreased after 17:00. The tendency of the number of bacteria was similar between two methods even though the absolute number was higher with air sampler. Critical difference in the number of cells was observed at 5 min with air sampler and 2 hr with fall-down capturing method. However, 1 min with air sampler and 1 hr with fall-down capturing were the best condition to identify bacterial species collected from the air. Number of bacteria were different depending on the sampling points in closed condition but not in opened condition. Based on our results, a guide-line was suggested for screening air-borne microorganism in the experimental conditions with pigs.