jayaoptimizationalgorithm is a simple but powerful intelligence optimization method which has several outstanding characteristics of both population-based algorithms and swarm intelligence-based algorithms. It has s...
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ISBN:
(数字)9781665470452
ISBN:
(纸本)9781665470469;9781665470452
jayaoptimizationalgorithm is a simple but powerful intelligence optimization method which has several outstanding characteristics of both population-based algorithms and swarm intelligence-based algorithms. It has shown great potentials to solve various hard and complex optimization problems, but there still has much room to improve its performance, especially for solving high-dimensional and non-convex problems. Hence, this paper proposes an improved jaya optimization algorithm with a novel hybrid logistic-sine-cosine chaotic map, which is named Ijaya for short. The hybrid logistic-sine-cosine chaotic map is applied to balance the exploration and the exploitation processes of jayaoptimizationalgorithm. Seven benchmark testing functions with different scale settings are used to evaluate the performance of our improvedalgorithm. Computational results indicate that our improved jaya optimization algorithm outperforms greatly its original version on most testing functions with high-dimensions.
DG integration improves distribution network performance and also enables microgrid (MG) formation for islanded operation. However, existing studies assume an isolated operation approach for islanded mode, which is un...
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DG integration improves distribution network performance and also enables microgrid (MG) formation for islanded operation. However, existing studies assume an isolated operation approach for islanded mode, which is unrealistic and increases overall system costs while adding complexity to the grid. This paper presents a dualstage methodology for the efficient operation of distributed generation (DG) and shunt capacitor banks (SCBs) in radial distribution networks (RDNs) for both grid-integrated and islanded modes. The first stage proposes an improvedjayaalgorithm (Ijaya) to optimize DG and SCB allocation during grid-connected operation, aiming to reduce power loss and improve voltage profiles. Ijaya employs a dynamic weight-based grid search to address premature convergence. The second stage formulates a multiobjective function for the islanded operation to minimize power loss and underutilization of DG-SCB capacity. Case studies on IEEE 33- and 69-bus RDNs show Ijaya reduces power loss by 38.84 % and improves voltage by 3.26 % in grid-connected networks compared to existing methods. The proposed analytical approach for islanded operation tunes the source power factor, reducing DG-SCB underutilization by up to 15.83 % for power factors between 0.8 and 0.93. The results demonstrate that operating distributed resources near optimal capacities meets a larger portion of the island network's energy needs.
In the research background of aerospace structural health monitoring,The optimal configuration of the strain sensor network used for shape reconstruction of flexible plate structures is *** on the characteristics of t...
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ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
In the research background of aerospace structural health monitoring,The optimal configuration of the strain sensor network used for shape reconstruction of flexible plate structures is *** on the characteristics of the 3D curved surface reconstruction algorithm,the co-row and co-column,row and column spacing,and strain distribution are employed as the optimization criteria of sensor network optimization configuration and the reconstruction error of structural shape is used as the evaluation metric of optimization *** order to solve the problem that the traditional jayaalgorithm is prone to local optimums in the optimal configuration solution,an improvedalgorithm is proposed to design a comprehensive optimization of the number and location of sensor deployment in the sensor *** addition,the simulation results show that the shape reconstruction effect of the plate structure is improved effectively through the optimal design of the sensor network ***,the optimally configured sensor network is used to conduct shape reconstruction experiments on aluminum alloy plate,which verifies the effectiveness of the optimal configuration method and provides some theoretical basis for the optimal configuration of the sensor network for structural shape reconstruction.
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