Shandong University

Shuo Wang

Chenyao Han

Xiaoli Wang

Quanqi Shi

Jing Wang

Qingmei Sui

Zhengfang Wang

Lei Jia

Pengzhi He

Xianghong Jia

Ruipeng Cui

Shuhua Gao

Junhui Kou

The disclosure relates to the technical field of power system management, and in particular to a large-scale electric vehicle cluster coordinated charging optimization method based on greedy repair genetic algorithm. the method includes the following steps: Si, establishing a task model: establishing a task model of electric vehicle cluster coordinated charging in large charging stations; S, constructing constraint conditions: constructing constraint conditions for the coordinated charging optimization problem; S, constructing a constrained optimization problem: designing an objective function with the minimum charging cost, performing linear mathematical transformation on non-linear constraint conditions, and constructing a 0/1 integer linear programming problem; and S, solving the constrained optimization problem with a custom genetic algorithm based method: carrying out genetic coding on a decision model of the charging station, and specifically designing a genetic algorithm with greedy repair operators to solve the constructed constrained optimization problem.

Large-scale electric vehicle cluster coordinated charging optimization method based on greedy repair genetic algorithm

The present disclosure belongs to the technical field of neutron detection, and it relates to a structure for slow neutron detection and a method for energy spectrum measurement of slow neutrons, wherein the structure for slow neutron detection comprises: a shielding barrel, which is configured as square with an opening; and a detector unit, which is a slow neutron detector with position resolution function, wherein the detector unit is completely wrapped in the shielding barrel, and the detector unit is placed close to one of the sides of the shielding barrel that is perpendicular to the open side of the shielding barrel. When the structure for slow neutron detection moves at a set speed, the incident energy spectrum of slow neutrons can be inversely extrapolated on the basis of the number of slow neutrons at different depths.

Structure for slow neutron detection and method for slow neutron energy spectrum measurement

The present application relates to a detection structure for fast neutrons and a method for acquiring a neutron energy spectrum, the detection structure for fast neutrons comprises seven semiconductor detection units and a conversion layer made of a hydrogen-containing material, the seven semiconductor detection units comprise a first, a second, a third, a fourth, a fifth, a sixth and a seventh semiconductor detection unit arranged sequentially, the first, the fourth and the seventh semiconductor detection unit constitute an anticoincidence detection group, the second and the third semiconductor detection unit constitute a neutral particle background detection group, the fifth and the sixth semiconductor detection unit constitute a recoil proton detection group, the conversion layer is disposed between the fourth and the fifth semiconductor detection unit, incident neutrons collision with hydrogen atomic nuclei and generate the recoil protons. The present application can effectively reduce influence of background signals on the measurement and improve accuracy of the inversed neutron energy spectrum.

Detection structure for fast neutrons and method for acquiring neutron energy spectrum

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Jinan, China

Shuo Wang