Dissipative analysis for high speed train systems via looped-functional and relaxed condition methods

Cai, Xiao; Shi, Kaibo; Zhong, Shouming; Wang, Jun; Tang, Yiqian

doi:10.1016/j.apm.2021.03.042

Cited by 40 publications

(14 citation statements)

References 26 publications

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“…In the star topology for D -dimensional space, the best personal status for particle i is indicated by

and the group’s best position

. The relations between the velocity and movement of particle i in the next moment or repetition are obtained by the following relations [ 29 ].

…”

Section: The Hybrid Algorithm Of Virus Colony Search and Modified Particle Swarm Optimizationmentioning

confidence: 99%

“…One reason for this lack of attention is the inherent difficulty in understanding this issue, particularly by economists [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. Another reason for the lack of serious attention to RP is the low production price compared to active power [ 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. However, according to economics and market calculations, RP is not less valuable than active power [ 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ].…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

Syah

Mianaei

Elveny

et al. 2021

Sensors

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The power system planning problem considering system loss function, voltage profile function, the cost function of FACTS (flexible alternating current transmission system) devices, and stability function are investigated in this paper. With the growth of electronic technologies, FACTS devices have improved stability and more reliable planning in reactive power (RP) planning. In addition, in modern power systems, renewable resources have an inevitable effect on power system planning. Therefore, wind resources make a complicated problem of planning due to conflicting functions and non-linear constraints. This confliction is the stochastic nature of the cost, loss, and voltage functions that cannot be summarized in function. A multi-objective hybrid algorithm is proposed to solve this problem by considering the linear and non-linear constraints that combine particle swarm optimization (PSO) and the virus colony search (VCS). VCS is a new optimization method based on viruses’ search function to destroy host cells and cause the penetration of the best virus into a cell for reproduction. In the proposed model, the PSO is used to enhance local and global search. In addition, the non-dominated sort of the Pareto criterion is used to sort the data. The optimization results on different scenarios reveal that the combined method of the proposed hybrid algorithm can improve the parameters such as convergence time, index of voltage stability, and absolute magnitude of voltage deviation, and this method can reduce the total transmission line losses. In addition, the presence of wind resources has a positive effect on the mentioned issue.

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“…In the star topology for D -dimensional space, the best personal status for particle i is indicated by

and the group’s best position

. The relations between the velocity and movement of particle i in the next moment or repetition are obtained by the following relations [ 29 ].

…”

Section: The Hybrid Algorithm Of Virus Colony Search and Modified Particle Swarm Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

Syah

Mianaei

Elveny

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…According to the derivation of the expected profit function based on the newsboy model, the optimal purchase volume and optimal expected profit of overseas retailers can be obtained under the condition that crossborder suppliers are not interrupted [36,37]:…”

Section: Crossborder Suppliers As the Sole Source Of Procurementmentioning

confidence: 99%

[Retracted] Mobile Communication Procurement Platform Optimization Decision Based on Overseas Retailer Investment under Supply and Demand Disruption Risk

Wang

2021

Wireless Communications and Mobile Computing

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With the rapid development of mobile communication procurement platform, it is faced with many risks, such as national policy differences, regional market differentiation, trade control, and technical barriers. Among them, the risk of supply and demand interruption will lead to the disconnection between upstream and downstream enterprises and consumers in the crossborder supply chain, making it difficult for them to achieve the profit target of the supply chain and meet the market demand. In order to reduce the risk of supply and demand disruption in mobile communication procurement platform and improve the ability to prevent and deal with disruption emergencies, a two-level supply chain composed of crossborder suppliers, overseas suppliers, and overseas retailers is established, and the procurement decision optimization of crossborder supply chain under the condition of single channel procurement and dual channel procurement before and after investment is studied. The research show that when overseas retailers invest in crossborder suppliers and choose a dual-source ordering strategy, it is more conducive to overseas retailers to reduce the risk of crossborder supply chain interruption and obtain higher expected profits.

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“…In the realistic plight that the number of automobiles has exceeded the carrying capacity of urban road networks, the common traffic jam generated in urbanization cannot be eradicated; instead, to relieve or alleviate the current traffic congestion, importance can be attached to effectively handling the traffic jam caused by emergencies [12]. ITS is a hotspot of the cross-disciplinary research involving computer, automatic control, and traffic engineering, and it has effectively combined advanced AI technology, automatic control technology, computing technology, information and communication technology, and electronic sensor technology together and then applied it into the entire ground traffic management system so as to build a real-time, accurate, and highly efficient comprehensive transportation management system which can be brought into play in a large scope and in an all-round manner [13,14].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Research of Schema Evolution and Implementation Scheme Optimization in AI‐Enabled Embedded Systems

Xiao-juan

Zhang

et al. 2021

Wireless Communications and Mobile Computing

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The demand of embedded artificial intelligence system for powerful computing power and diversified application scenarios will inevitably bring some new problems. This paper builds the system dynamics model of embedded system based on artificial intelligence (AI). By analyzing the causal relationship between the elements of the system dynamics model, the state equation is established, and the parameters are estimated and tested. At the same time, the influence of the model simulation experiment on the relevant factors is evaluated. The simulation results show that the proposed model is effective and efficient.

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Dissipative analysis for high speed train systems via looped-functional and relaxed condition methods

Cited by 40 publications

References 26 publications

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

[Retracted] Mobile Communication Procurement Platform Optimization Decision Based on Overseas Retailer Investment under Supply and Demand Disruption Risk

[Retracted] Research of Schema Evolution and Implementation Scheme Optimization in AI‐Enabled Embedded Systems

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