• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.10
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• pp.1721-1730
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• 2007

SThis paper proposes a new dispatch scheduling algorithm in interconnected regional system operations. The dispatch scheduling formulated as mixed integer non-linear programming (MINLP) problem can efficiently be computed by generalized Benders decomposition (GBD) algorithm. GBD guarantees adequate computation speed and solution convergency since it decomposes a primal problem into a master problem and subproblems for simplicity. In addition, the inter-temporal optimal power flow (OPF) subproblem of the dispatch scheduling problem is comprised of various variables and constraints considering time-continuity and it makes the inter-temporal OPF complex due to increased dimensions of the optimization problem. In this paper, regional decomposition technique based on auxiliary problem principle (APP) algorithm is introduced to obtain efficient inter-temporal OPF solution through the parallel implementation. In addition, it can find the most economic dispatch schedule incorporating power transaction without private information open. Therefore, it can be expanded as an efficient dispatch scheduling model for interconnected system operation.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.331-333
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• 2000

This paper propose the method combined Priority and Tabu search (TS) for short term hydro-thermal scheduling. We satisfy various conditions using TS, Restarting method is used as diversification strategy of TS to prevent a local convergence. Also, we use Lagrangian method to solve economic dispatch problems.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.513-515
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• 2000

This paper deals with a method for determining an optimal operation strategy of dispersed generating sources considering thermal merits. The optimal operation of these sources can be determined by the principle of equal incremental fuel cost. This paper presents an optimal operation strategy using the Kuhn-Tucker's optimal conditions and also an priority method to decide the optimal location of those sources in power systems. The validity of the proposed algorithms are demonstrated using a model system.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.137-141
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• 2000

This paper presents an application of a new Adaptive Genetic Algorithms(AGA) to solve the Optimal Routing problem(ORP) for distribution system planning. In general, since the ORP is modeled as a mixed integer problem with some various mathematical constraints, it is hard to solve the problem. In this paper, we proposed a new adaptive strategy in GA to overcome the premature convergence and improve the convergence efficiency. And for these purposes, we proposed a fitness function suited for the ORP. In the proposed AGA, we used specially designed adaptive probabilities for genetic operators to consider the characteristics of distribution systems that are operated under radial configuration. The proposed algorithm has been tested in sample networks and the results are presented.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.142-146
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• 2000

This paper Presents a heuristic algorithm based on branch exchange method to solve ORP (Optimal Routing Problem) for distribution system planning. The ORP is a complex task which is generally formulated as a combinatorial optimization problem with various constraints. The cost function of ORP is consisted of the investment cost and the system operation cost that is generally expressed with system power loss. This paper also adopt an specialy designed selection method of maximum loss reduction loop and branch to reduce optimization time. The effectiveness of the proposed algorithm was shown with 32, 69 bus example system.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.345-346
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• 2006

계통 운용 및 전력시장측면에서 지역별 적정자원을 어떻게 확보할 것인가에 관한 문제가 최근 국내외적으로 큰 관심사로 대두되고 있다. 이에 본 연구에서는 우리나라 전력수급 계획을 기반으로 부하불확실성과 북상조류 제약, 발전소 고장정지율 등을 고려하여 지역별(경인지역, 비경인지역, 제주지역) 전력가격 및 공급지장 시간을 고찰하였다.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.506-507
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• 2006

1986년 제조되어 국내 지중배전계통의 관로에서 20년간 사용된 CNCV케이블에 대하여 IRC(Iso-thermal Relaxation Current) 측벙법을 사용하는 진단장비와 0.1Hz 극저주파 Tan-delta 측정법을 사용하는 진단장비로 케이블의 수트리 열화 진단을 시행하고 철거한 후 교류파괴전압시험을 수행하였다 각 진단장비의 진단결과와 교류파괴전압시험 결과, 수트리의 존재여부를 비교하였다. VLF Tan-delta 측정법을 사용하는 진단장비가 교류파괴전압시험결과, 수트리의 유무 둥과 상관성이 비교적 높게 나타났다. 통계적으로 신뢰성을 확보할 수 있도록 지속적인 비교 검증시험을 추진할 계획이다.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.44-45
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• 2006

투자에 비해 자본회수 기간이 길고 설비건설에 많은 자본과 장기간이 소요되는 전력산업은 미래의 전력수요 성장에 대한 정확한 예측과 합리적인 설비계획 수립을 통한 설비확충이 매우 중요하다. 우리나라는 지리적 특수성으로 인하여 독립된 형태의 전력계통으로 구성되어 있어 타 국가와 전력융통이 불가능해 자급자족을 위한 충분한 전력공급능력 확보가 필요하다. 전력수요는 서울 인천 경기도의 수도권에 43%(2005년 최대수요기준)가 집중되어 있고 발전소는 중 남부에 편재되어 있어 지역간 전력 수급불균형의 문제가 크다. 특히, 비수도권에서 유입되는 북상조류가 수도권 전력수요의 약 50%(2005년 최대수요기준)를 담당하고 있다. 또한 현재 수도권의 경우, 인천지역에 발전설비가 집중되어 있으며 이러한 인천지역 집중 현상은 수도권 발전설비 유인 정책에 따라 미래에 보다 더 가속화 될 것으로 예상되어, 또 다른 어려움을 야기 시키고 있다. 따라서 이러한 문제점에 대한 분석 및 대책을 검토하였다.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.748-750
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• 2005

This paper approaches a methodology for deciding the optimal reliability criteria for an optimal composite power system expansion planning considering generation and transmission systems simultaneously. A probabilisticreliability criterion, $LOLE_R$(Loss of Load Expectation), is used in this study. The optimalreliability criterion $LOLE_R*$ is decided at minimum cost point of total cost curve which is the sum of the utility cost associated with construction cost and the customer outage cost associated with supply interruptions for load considering forced outage rates of elements(generators and lines) in long term forecasting. The characteristicsand effectiveness of this methodology are illustrated by the case study using MRBTS size system.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.557-559
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• 2005

This paper proposes a method for choosing the best composite power system expansion plan considering a contingency security criterion. The proposed method minimizes the investment budget fer constructing new transmission lines subject to contingency criterion. it models the power system expansion problem as an integer programming one. The method solves for the optimal strategy using a branch and bound method that utilizes a network flow approach and the maximum flow-minimum cut set theorem. Although the proposed method is applied to a simple sample study, the test results demonstrate that the proposed method is suitable for solving the power system expansion-planning problem subject to practical future uncertainties.