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Optimization of the seismic processing phase-shift plus finite-difference migration operator based on a hybrid genetic and simulated annealing algorithm

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Petroleum Science 2013年第2期10卷 190-194页

作者： Luo Renze Huang Yuanyi Liang Xianghao Luo Jun Cao Ying State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum University Geophysics Development Department of BGP Exploration and Exploitation Department of Tarim Oilfield Company PetroChina Changqing Oilfield Company PetroChina

Although the phase-shift seismic processing method has characteristics of high accuracy, good stability, high efficiency, and high-dip imaging, it is not able to adapt to strong lateral velocity variation. To overcome this defect, a finite-difference method in the frequency-space domain is introduced in the migration process, because it can adapt to strong lateral velocity variation and the coefficient is optimized by a hybrid genetic and simulated annealing algorithm. The two measures improve the precision of the approximation dispersion equation. Thus, the imaging effect is improved for areas of high-dip structure and strong lateral velocity variation. The migration imaging of a 2-D SEG/EAGE salt dome model proves that a better imaging effect in these areas is achieved by optimized phase-shift migration operator plus a finite-difference method based on a hybrid genetic and simulated annealing algorithm. The method proposed in this paper is better than conventional methods in imaging of areas of high-dip angle and strong lateral velocity variation.

关键词： migration operator phase-shift plus finite-difference hybrid algorithm genetic andsimulated annealing algorithm optimization coefficient

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Interactive DE for solving combined security environmental economic dispatch considering FACTS technology

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Frontiers in Energy 2013年第4期7卷 429-447页

作者： Belkacem MAHDAD K. SRAIRI T. BOUKTIR Laboratory of Modelling Energetic Systems Department of Electrical Engineering University of Biskra Biskra 07000 Algeria Department of Electrical Engineering University of Setif Algeria

This paper presents an efficient interactive differential evolution ODE） to solve the multi-objective security environmental/economic dispatch （SEED） pro- blem considering multi shunt flexible AC transmission system （FACTS） devices. Two sub problems are proposed. The first one is related to the active power planning to minimize the combined total fuel cost and emissions, while the second is a reactive power planning （RPP） using multi shunt FACTS device based static VAR compensator （SVC） installed at specified buses to make fine corrections to the voltage deviation, voltage phase profiles and reactive power violation. The migration operation inspired from biogeography-based optimization （BBO） algorithm is newly introduced in the proposed approach, thereby effectively exploring and exploiting promising regions in a space search by creating dynamically new efficient partitions. This new mechanism based migration between individuals from different subsystems makes the initial partitions to react more by changing experiences. To validate the robustness of the proposed approach, the proposed algorithm is tested on the Algerian 59-bus electrical network and on a large system, 40 generating units considering valve-point loading effect. Comparison of the results with recent global optimization methods show the superiority of the proposed IDE approach and confirm its potential for solving practical optimal power flow in terms of solution quality and convergence characteristics.

关键词： optimal power flow （OPF） economic dispatch environment differential evolution migration operator multi-objective flexible AC transmission systems （FACTS） static VAR compensator （SVC）

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