The Experts below are selected from a list of 265539 Experts worldwide ranked by ideXlab platform
J Munoz - One of the best experts on this subject based on the ideXlab platform.
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phase shifter placement in large scale systems via mixed integer linear programming
IEEE Transactions on Power Systems, 2003Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J MunozAbstract:This paper makes use of advances in mixed integer linear programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.
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phase shifter placement in large scale systems via mixed integer linear programming
IEEE Transactions on Power Systems, 2003Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J MunozAbstract:This paper makes use of advances in mixed integer linear programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.
Bei Gou - One of the best experts on this subject based on the ideXlab platform.
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generalized integer linear programming formulation for optimal pmu placement
IEEE Transactions on Power Systems, 2008Co-Authors: Bei GouAbstract:Based on the integer linear programming formulation proposed for optimal PMU placement, this paper presents a generalized integer linear programming formulation for cases including redundant PMU placement, full observability and incomplete observability. Due to accurate voltage phasor measurement and current phasor measurements provided by PUM units, the accuracy, redundancy and thus the robustness of state estimation will be enhanced with the integration of PMU measurements. The problem of optimal placement of PMU for the redundant PMU placement, full observability and incomplete observability analysis needs to be studied, for various purposes and considerations. The proposed modeling approach by the author in another paper, which models PMU placement as an integer linear programming problem, is extended and generalized to satisfy different needs. Cases with and without zero injection measurements are considered. Simulation results on different power systems show that the proposed algorithm can be used in practice.
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optimal placement of pmus by integer linear programming
IEEE Transactions on Power Systems, 2008Co-Authors: Bei GouAbstract:This letter presents a simple optimal placement algorithm of phasor measurement units (PMU) by using integer linear programming. Cases with and without conventional power flow and injection measurements are considered. The measurement placement problems under those cases are formulated as an integer linear programming which saves the CPU computation time greatly. Simulation results show that the proposed algorithm can be used in practice.
Vivek Dua - One of the best experts on this subject based on the ideXlab platform.
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multi parametric mixed integer linear programming under global uncertainty
Computers & Chemical Engineering, 2018Co-Authors: Vassilis M Charitopoulos, Lazaros G Papageorgiou, Vivek DuaAbstract:Major application areas of the process systems engineering, such as hybrid control, scheduling and synthesis can be formulated as mixed integer linear programming (MILP) problems and are naturally susceptible to uncertainty. Multi-parametric programming theory forms an active field of research and has proven to provide invaluable tools for decision making under uncertainty. While uncertainty in the right-hand side (RHS) and in the objective function's coefficients (OFC) have been thoroughly studied in the literature, the case of left-hand side (LHS) uncertainty has attracted significantly less attention mainly because of the computational implications that arise in such a problem. In the present work, we propose a novel algorithm for the analytical solution of multi-parametric MILP (mp-MILP) problems under global uncertainty, i.e. RHS, OFC and LHS. The exact explicit solutions and the corresponding regions of the parametric space are computed while a number of case studies illustrates the merits of the proposed algorithm.
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an algorithm for the solution of multiparametric mixed integer linear programming problems
Annals of Operations Research, 2000Co-Authors: Vivek Dua, Efstratios N PistikopoulosAbstract:In this paper, we present an algorithm for the solution of multiparametric mixed integer linear programming (mp-MILP) problems involving (i) 0-1 integer variables, and, (ii) more than one parameter, bounded between lower and upper bounds, present on the right hand side (RHS) of constraints. The solution is approached by decomposing the mp-MILP into two subproblems and then iterating between them. The first subproblem is obtained by fixing integer variables, resulting in a multiparametric linear programming (mp-LP) problem, whereas the second subproblem is formulated as a mixed integer linear programming (MILP) problem by relaxing the parameters as variables.
F G M Lima - One of the best experts on this subject based on the ideXlab platform.
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phase shifter placement in large scale systems via mixed integer linear programming
IEEE Transactions on Power Systems, 2003Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J MunozAbstract:This paper makes use of advances in mixed integer linear programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.
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phase shifter placement in large scale systems via mixed integer linear programming
IEEE Transactions on Power Systems, 2003Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J MunozAbstract:This paper makes use of advances in mixed integer linear programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.
Yong Hoon Lee - One of the best experts on this subject based on the ideXlab platform.
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design of cascade form iir filters with powers of two coefficients using mixed integer linear programming
International Symposium on Circuits and Systems, 1996Co-Authors: Yong Hoon LeeAbstract:We propose an optimal design method for digital IIR filters with powers-of-two coefficients. This method is based upon the formulation of a linear optimization problem that minimizes the filter's complexity for given specifications. It is shown that by taking the logarithm to the transfer function of cascade-form IIR filters, the design problem becomes linear and can be solved by mixed integer linear programming (MILP). Design examples are presented to demonstrate the efficiency of the proposed method.
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design of efficient fir filters with cyclotomic polynomial prefilters using mixed integer linear programming
International Conference on Acoustics Speech and Signal Processing, 1996Co-Authors: Yong Hoon LeeAbstract:The cyclotomic polynomial (CP) prefilter design problem is formulated as an optimization problem with linear objective functions by applying the logarithm to the transfer function of the CP prefilter. Then this problem is solved by mixed integer linear programming (MILP). Design examples demonstrate that this method leads to more efficient cascaded FIR prefilter-equalizers than existing methods.
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Design of efficient FIR filters with cyclotomic polynomial prefilters using mixed integer linear programming
IEEE Signal Processing Letters, 1996Co-Authors: Yong Hoon LeeAbstract:The cyclotomic polynomial (CP) prefilter design problem is formulated as an optimization problem with linear objective functions by applying logarithms to the transfer function of the CP prefilter. This problem is then solved by mixed integer linear programming (MILP). Design examples demonstrate that this method leads to more efficient cascaded finite impulse response (FIR) prefilter-equalizers than existing methods.