• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.711-713
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• 1996

This paper proposes a unit commitment scheduling method based on Genetic Algorithm(GA). Due to a variety of constraints to be satisfied, the search space of the UC problem is highly nonconvex, so the UC problem cannot be solved efficiently only using the standard GA To efficiently deal with the constraints of the problem and greatly reduce the search space of the GA, the minimum up and down time constraints are embedded in the binary strings that are coded to represent the on-off states of the generating units. The violations of other constraints arc handled by integrating penalty factors. To show the effectiveness of the GA based unit commitment scheduling, test results for system of 5 units are compared with results obtained using Lagrangian Relaxation and Dynamic Programming.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1997년도 추계학술대회 논문집 학회본부
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• pp.174-176
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• 1997

This paper proposes a unit commitment scheduling method based on hybrid genetic algorithm(GA). When the systems are scaled up, conventional genetic algorithms suffer from computational time limitations because of the growth of the search space. So greatly reduce the search space of the GA and to efficiently deal with the constraints of the problem, priority list unit ordering scheme are incorporated as the initial solution and the minimum up and down time constraints of the units are included. The violations of other constraints are handled by integrating penalty factors. To show the effectiveness of the proposed method. test results for system of 10 units is compared with results obtained using other methods.

• 대한전기학회논문지
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• 제37권6호
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• pp.331-338
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• 1988

A simple algorithm is presented for solving the thermal unit commitment problem which is one of very important areas in economic operation of power systems. This algorithm is based on simple priority ordering by the unit operation cost and it is shown that the operation cost of chosen sets of generators is the minimum. The proposed method differs from the conventional priority-based formulations in that the unit operation are calculated in every load level. Further the poerating reserve requiements are satisfied by the newly derived analytical security function or the expectation of reserve. The proposed method is proven to be very simple, accurate and efficient in a sample system.

• Journal of Electrical Engineering and Technology
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• 제12권6호
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• pp.2187-2195
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• 2017

In order to solve the AC optimal power flow (OPF) problem considering the generators' on/off status, it is necessary to model the problem as mixed-integer nonlinear programming (MINLP). Because the computation time to find the optimal solution to the mixed-integer AC OPF problem increases significantly as the system becomes larger, most of the existing solutions simplify the problem either by deciding the on/off status of generators using a separate unit commitment algorithm or by ignoring the minimum output of the generators. Even though this kind of simplification may make the overall computation time tractable, the results can be significantly erroneous. This paper proposes a novel algorithm for the mixed-integer AC OPF problem, which can provide a near-optimal solution quickly and efficiently. The proposed method is based on a combination of the outer approximation method and the relaxed AC OPF theory. The method is applied to a real-scale power system that has 457 generators and 2132 buses, and the result is compared to the branch-and-bound (B&B) method and the genetic algorithm. The results of the proposed method are almost identical to those of the compared methods, but computation time is significantly shorter.

• 대한기계학회논문집
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• 제17권6호
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• pp.1321-1329
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• 1993

본 연구에서는 이들보다 매우 간단한 IS법, 즉 초기 변형률법(ISM: initial strain method)에 의한 크리프 수명예측식을 고안하여, 현재 화력발전용 고압 로터강 에 사용되고 있는 1%Cr-Mo-V강과 발전소 효율향상을 위해 최근 국내최초로 개발된 12% Cr강에 대하여 도출하였고, 이 도출식이 앞에서 언급한 여러 파라메트에 의한 결과와 비교 평가하여 장시간 강도 및 수명예측식으로 사용될 수 있음을 입증하였다.

• 한국경영과학회지
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• 제15권1호
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• pp.99-115
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• 1990

This paper is concerned with the unit commitment problem in an electric power system with both thermal and pumped-storage hydroelectric units. This is a mixed integer programming problem and the Lagrangean relaxation method is used. We show that the relaxed problem decomposes into two kinds of subproblems : a shortest-path problem for each thermal unit and a minimum cost flow problem for each pumped-storage hydroelectric unit. A method of obtaining an incumbenet solution from the solution of a relaxed problem is presented. The Lagrangean multipliers are updated using both subgradient and incremental cost. The algorithm is applied to a real Korean power generation system and its computational results are reported and compaired with other works.

• 한국시뮬레이션학회논문지
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• 제23권1호
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• pp.21-31
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• 2014

본 논문에서는 조직관련 변수들의 연구를 위해 이직의도와 조직몰입을 목표(종속)변수로서 데이터마이닝 시뮬레이션을 실시하여 접근 방법을 찾고 분석결과 도출을 목적으로 하였다. 데이터마이닝 분석방법 중 CART 앙상블 기법을 활용하였다. 자료는 한국직업능력개발원의 인적자본기업패널조사 1차~3차(2005~2009)데이터를 사용하였다. 조직몰입 변수는 다항목 측정 사항에 대해 신뢰성, 단일차원성 검토를 실행 후 합산척도 변수를 생성하여 분석하였다. 본 연구 결과는 다음과 같다. 첫째, 이직의도에 대한 주요 결정요인은 신뢰, 커뮤니케이션, 인재 중시 풍조 아이템으로 나타났다. 둘째, 조직몰입에 대한 주요 결정요인은 신뢰, 근속기간, 혁신, 커뮤니케이션 아이템으로 나타났다. 데이터마이닝 방법의 CART 앙상블 방법으로 Bagging과 Arcing 알고리즘을 적용한 결과 Arc-x4 방법이 매우 높은 결정계수를 나타낸 시나리오를 추출했다. 본 연구에서는 데이터마이닝 방법 중 하나인 CART 앙상블 시뮬레이션을 통해 최대치의 결정계수, 최소치의 오류를 산출한 시나리오 모델을 도출하고 실무적 시사점을 제시하였으며 한계점 및 향후 연구에 대해 논의되었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.707-710
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• 1996

This paper is to build and develop the generation schedule program to provide a stable power supply and economic operation of power generation system. A practical algorithm is presented for solving the thermal unit commitment problem which is one of very important areas in economic operation of power system. This algorithm is based on priority ordering by the unit generation cost and it is shown that the operation cost of chosen sets of generators is the minimum. The proposed method is proven to be very practical, accurate and efficient in a KEPCO system.

• 조명전기설비학회논문지
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• 제25권10호
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• pp.28-37
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• 2011

Though Korea has introduced CBP(Cost Based pool) power trading system since 2001, long-term Generation system planning has been executed by government for Cost minimization every 2 years. Until currently the model which is used for Generation system planning and best-mix only considers cost minimization and total yearly or quarterly electricity demand every year. In a view point of one day power supply operation, technical characteristics, like the ramp up/down rate of total generation system, minimum up/down time and GFRQ(Governor Free Response Quantity), are very important. this paper analyzes Optimal Fuel-Mix for 2022 Korea generation system satisfying these constraints of each fuel type and considering pump storage plants, construction cost and $CO_2$ emission charge Using MILP(Mixed Integer Linear Programming) method. Also the sensitivity analysis which follows in future power industry environmental change accomplished.

• 대한기계학회논문집
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• 제12권3호
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• pp.513-519
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• 1988

본 연구에서는 주로 항공기의 구조물용으로 사용되고 있는 소위 초듀랄루민이 라 불리는 산업용 2024Al합금에 대하여 3~5kg/m $m^{2}$의 응력범위 및 0.6~0.7Tm의 온도범위에서의 고온크리이프 시험을 통하여 고온정상크리이프 변형속도 및 크리이프 파단수명에 대하여 살펴보고자 한다.