Aiming at the low accuracy or inability to solve the problem when the traditional reliability optimization method deals with the practical engineering reliability analysis problem, this paper proposes a structural rel...
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Aiming at the low accuracy or inability to solve the problem when the traditional reliability optimization method deals with the practical engineering reliability analysis problem, this paper proposes a structural reliability analysis method using the improved wolf swarm algorithm (IWSA). Firstly, the reliability optimization mathematical model is established with the minimum reliability index as the objective function and the limit state equation as the equality constraint. Then the augmented multiplier method is used to transform the constrained optimization mathematical model into an unconstrained optimization mathematical model. Finally, IWSA is used to solve the problem. The proposed method is applied to a numerical example and an engineering example. The computation results of the proposed method in solving the numerical example are compared with the Monte Carlo simulation (MCS), which verifies that the proposed method in this paper has good calculation accuracy. The maximum deformation under the working condition is used as the target to establish a limit state function, and the reliability index is obtained by the proposed method combining with the finite element analysis software, which provides a certain theoretical guiding significance for the reliability analysis of engineering structures.
In this paper, the carbon emission and operation cost of the integrated energy micro grid system are taken as the optimization goal of the system, and the problem of individual user heating in some areas is solved. Co...
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In this paper, the carbon emission and operation cost of the integrated energy micro grid system are taken as the optimization goal of the system, and the problem of individual user heating in some areas is solved. Considering the use of various new energy sources in the system, on the premise of satisfying the user’s electric load and heat load, the optimal scheduling model of integrated energy micro grid system including photovoltaic, gas unit, water source heat pump, electric energy storage device and power grid interaction is established. By using new clean energy water source heat pump in the system, the energy in groundwater and other water sources is fully utilized to improve heating Efficiency, reduce the cost of use, use the improved wolf swarm algorithm to optimize the solution. Through calculation and verification, the results of optimal scheduling can meet the demand of electric heating load, coordinate the operation of each group of energy equipment, give full play to the advantages of various equipment, reduce the operation cost and carbon emissions, and have the value of promotion.
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