Trungtinh Tran
Gyeongsang National University
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Featured researches published by Trungtinh Tran.
IEEE Transactions on Power Systems | 2005
Jaeseok Choi; Trungtinh Tran; A.A. El-Keib; Robert J. Thomas; HyungSeon Oh; R. Billinton
This paper proposes a method for choosing the best transmission system expansion plan considering a probabilistic reliability criterion (/sub R/LOLE). The method minimizes the investment budget for constructing new transmission lines subject to probabilistic reliability criteria, which consider the uncertainties of transmission system elements. Two probabilistic reliability criteria are used as constraints. One is a transmission system reliability criterion (/sub R/LOLE/sub TS/) constraint, and the other is a bus/nodal reliability criterion (/sub R/LOLE/sub Bus/) constraint. The proposed method models the transmission system expansion problem as an integer programming problem. It solves for the optimal strategy using a probabilistic branch and bound method that utilizes a network flow approach and the maximum flow-minimum cut set theorem. Test results on an existing 21-bus system are included in the paper. They demonstrate the suitability of the proposed method for solving the transmission system expansion planning problem subject to practical future uncertainties.
IEEE Transactions on Power Systems | 2005
Jaeseok Choi; A.A. El-Keib; Trungtinh Tran
This work proposes a new method for choosing the best transmission system expansion plan for the highest satisfaction level of the decision maker. The proposed method considers the permissibility and ambiguity of the investment budget (economics) for constructing new transmission lines and the delivery marginal rate (reliability criterion) of the system. This is achieved by modeling the transmission expansion problem as a fuzzy integer programming one. The method solves for the optimal strategy (a reasonable and flexible plan that would not be significantly worsened by any assumed changes in the surrounding situations) using a fuzzy set theory-based branch and bound method that utilizes a network flow approach and the maximum flow-minimum cut set theorem. When only a very limited size database is available to evaluate probabilistic reliability indices, the proposed technique provides the decision maker with a valuable and practical tool to solve the transmission expansion problem, considering problem uncertainties. Test results on an existing 21-bus system show that the proposed method is suitable for solving the transmission expansion planning problem subject to practical ambiguities.
IEEE Power Engineering Society General Meeting, 2005 | 2005
Trungtinh Tran; Jaeseok Choi; Robert J. Thomas
This paper proposes a method for determining the construction priority of transmission lines based on probabilistic reliability evaluation. This method suggests the priority for constructing lines from new transmission lines set of optimal solution obtained by the optimal transmission expansion planning. In this study, the optimality is solved by integer programming using branch and bound method, which utilizes a network flow approach and the maximum flow-minimum cut set theorem to minimize investment budget of transmission line construction and subject to deterministic criterion using a program Cmexp.For. The timing priority of new line construction is determined on the comparison of probabilistic reliability indices of each new system using TRELSS 6.2 program. The proposed method has been tested on IEEE-MRTS.
IEEE Power Engineering Society General Meeting, 2005 | 2005
Trungtinh Tran; H. Kim; J. Choi; G. Han; D. Jeong; J. Choo
The importance and necessity of conducting studies on grid reliability evaluation have been increasingly important in recent years due to the number of black-out events occurring through in the world. Quantity evaluation of transmission system reliability is very important in a competitive electricity environment. The reason is that the successful operation of electric power under a deregulated electricity market depends on transmission system reliability management. Also in Korea it takes places. This paper presents the key problems of available features and operation modes of the transmission reliability evaluation for large-scale systems (TRELSS) Version 6.2, a program made in EPRI, for assessing reliability indices of a Korea electric power corporation (KEPCO) system as the first step for applying to actual KEPCO system in the near future. The package accesses not only bulk but also buses indices for reliability evaluation of composite powers system. The characteristics of the TRELSS program are illustrated by the case studies using the KEPCO system.
ieee international conference on probabilistic methods applied to power systems | 2006
Trungtinh Tran; Jungji Kwon; Jaeseok Choi; Donghun Jeon; Kyoungnam Han
The importance and conducting necessity studies on grid reliability evaluation have been increasingly important in recent years due to the number of black-out events occurring through in the world. Quantity evaluation of transmission system reliability is very important in a competitive electricity environment. The reason is that the successful operation of electric power under a deregulated electricity market depends on transmission system reliability management. Also in Korea it takes places. The results of many case studies for the KEPCO system using the transmission reliability evaluation for large-scale systems (TRELSS) Version 6.2, a program developed by EPRI are introduced in this paper. Some sensitivity analysis has been included in case study. This paper suggests that the some important input parameters of the TRELSS can be determined optimally from this sensitivity analysis for high reliability level operation of a system
2007 IEEE Power Engineering Society General Meeting | 2007
Jaeseok Choi; Trungtinh Tran; Timothy D. Mount; Robert J. Thomas
This paper proposes a method for choosing the best composite power system expansion plan considering a outage cost assessment. The proposed method minimizes the investment budget (economics) for constructing new generating units and transmission lines as well as outage cost subject to deterministic (demand constraint) and probabilistic reliability criterion (LOLER), while considering the uncertainties of system elements. It models the power system expansion problem as an integer programming one. The method solves for the optimal strategy using a probabilistic theory-based 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 composite power system expansion planning problem subject to practical future uncertainties.
canadian conference on electrical and computer engineering | 2005
Jaeseok Choi; Trungtinh Tran; A.A. El-Keib; Robert J. Thomas; R. Billinton
This paper proposes a method for choosing the best composite power system expansion plan considering a probabilistic reliability criterion. The proposed method minimizes the investment budget (economics) for constructing new transmission lines subject to deterministic (demand constraint) and probabilistic reliability criteria (LOLER), while considering the uncertainties of system elements. It models the power system expansion problem as an integer programming one. The method solves for the optimal strategy using a probabilistic theory-based 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
IEEE Power Engineering Society General Meeting, 2004. | 2004
Trungtinh Tran; Jaeseok Choi; J.K. Park; S.I. Moon; A.A. El-Keib
This paper proposes a new method for choice of the best transmission system expansion plan considering ambiguities power systems. The proposed method considers the permissibility and ambiguity of the investment budget (economics) for constructing the new transmission lines and the delivery marginal rate (reliability criteria) of the system by modeling the transmission expansion problem as a fuzzy integer programming one. It solves for the optimal strategy (reasonable as well as flexible) using a fuzzy set theory-based on branch and bound method that utilizes a network flow approach and the maximum flow-minimum cut set theorem. Under no or only a very small database for the evaluation of reliability indices, the proposed technique provides the decision maker with a valuable and practical tool to solve the transmission expansion problem considering problem uncertainties. Test results on the 63-bus test practical size system show that the proposed method is practical and efficiently applicable to the transmission expansion planning.
ieee international conference on probabilistic methods applied to power systems | 2006
Jaeseok Choi; Trungtinh Tran; Jungji Kwon; Dongwook Park; Jaeyoung Yoon; Seung-Il Moon; Junmin Cha; R. Billinton
This paper illustrates to determinate how much is the reasonable capacity of tie lines in view point of probabilistic reliability in the North East Asia by using the tie line constrained equivalent assisting generator model (TEAG), which has been already developed by authors. A reliability evaluation program, it is named, NEAREL, based on the TEAG model was made. The reliability evaluation results for an interconnection scenario of the actual power systems of three countries in the North East Asia is introduced. The reasonable capacities of the tie line for three countries interconnection scenario for two target years, 2010 and 2020, are suggested from sensitivity analysis
IEEE Power Engineering Society General Meeting, 2004. | 2004
Jaeseok Choi; Trungtinh Tran; Sungrok Kang; D.H. Jeon; C.H. Lee; R. Billinton
The optimal design of transmission system expansion planning is an important part of the overall planning task of electric power system under competitive electricity market environments. One of main keys of the successful grid expansion planning comes from optimal reliability level/criteria decision, which should be given for constraint in the optimal expansion problem. However, its very difficult to decide logically the optimal reliability criteria of a transmission system as well as generation system expansion planning in a society. This paper approaches a methodology for deciding the optimal reliability criteria for an optimal transmission system expansion planning. A deterministic reliability criteria, BRR (bus reserve rate) is used in this study. The optimal reliability criteria, BRR, 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 bus reserve rate at load buses in long term forecasting. The characteristics and effectiveness of this methodology are illustrated by the case study using MRBTS.