Optimization Scheduling of Integrated Energy Systems Considering Power Flow Constraints by Sheng Zou, Xuanjun Zong, Quan Chen, Wang Zhang, Hongwei Zhou

Get full text

Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning by Jan Li, Tim Coopmans, Patrick Emonts, Kenneth Goodenough, Jordi Tura, Evert van Nieuwenburg

Get full text

Enhanced Reliability Assessment in Distribution Network Planning via Optimal Double Q Strategy with Explicit Topology-Variable Consideration by J. Jiang, Q. Luo, Z. Xu, H. Li, C. Gao

“…The model integrates important reliability assessment metrics with the optimized design of the distribution network's topology. …”
Get full text

Distributed Formation Control with Obstacle and Collision Avoidance for Hypersonic Gliding Vehicles Subject to Multiple Constraints by Zhen Zhang, Yifan Luo, Yaohong Qu

“…The distributed virtual controller is based on distributed model predictive control with synchronous update strategy, where the virtual control signals are derived by the optimization simultaneously at each time step for each HGV under directed communication topology. …”
Get full text

Interferometric phase reconstruction with temporal decorrelation model constraints for time-series InSAR surface deformation monitoring by Peng Shen, Changcheng Wang, Xingjun Luo, Jun Hu, Jie Wan

Get full text

OPTIMIZATION RESEARCH OF PREVENTIVE MAINTENANCE STRATEGY ON THE CATENARY SYSTEM BASED ON RELIABILITY CONSTRAINTS by LIU Huan, LIU ZhiGang, JIANG Jing

“…The optimization function of preventive maintenance strategy on the catenary system based on reliability constraints is deduced.According to three years’ measured fault data of Changsha section,the parameters of Weibull distribution which describe the various parts of the catenary system is fitted,the maintenance costs of the catenary system in Changsha section were calculated according to the model of optimization on preventive maintenance strategy. …”
Get full text

Optimal Low-Carbon Scheduling for Smart Microgrids With Dynamic Thermal Capacity Constraints by Peng Xie, Hongwei Liu, Chun Chen, Mingjun Liu

“…This study aims to integrate electric vehicles, photovoltaic and battery energy storage systems, and distribution network information in a microgrid to achieve decarbonized optimal operation. …”
Get full text

Optimal dispatch of industrial loads considering process constraints for renewable energy consumption by Zijie Ren, Bowen Zhou, Liaoyi Ning, Wei Zheng, Hengyu Liu, Dawei Hu, Jiazheng Sun

“…First, we establish the production process constraint structure in the magnesium industry and analyze the spatial distribution of arc power from a process point perspective. …”
Get full text

Cons-training tensor networks: Embedding and optimization over discrete linear constraints by Javier Lopez-Piqueres, Jing Chen

“…Utilizing this canonical form, we apply an unsupervised training strategy to optimize arbitrary objective functions subject to discrete linear constraints. …”
Get full text

Optimal scheduling of distributed shared energy storage based on optimal SOC interval by Tong Zhang, Liudong Zhang, Yan Chen, Zhiqiang Peng

“…To address this, a distributed SES scheduling method based on optimal operating intervals is proposed. …”
Get full text

Research on the cooperative offloading strategy of sensory data based on delay and energy constraints by Peiyan YUAN, Saike SHAO, Ran WEI, Junna ZHANG, Xiaoyan ZHAO

“…The edge offloading of the internet of things (IoT) sensing data was investigated.Multiple edge servers cooperatively offload all or part of the sensing data initially sent to the cloud center, which protects data privacy and improves user experience.In the process of cooperative offloading, the transmission of the sensing data and the information exchange among edge servers will consume system resources, resulting in the cost of cooperation.How to maximize the offloading ratio of the sensing data while maintaining a low collaboration cost is a challenging problem.A joint optimization problem of sensing data offload ratio and cooperative scale satisfying the constraints of network delay and system energy consumption was formulated.Subsequently, a distributed alternating direction method of multipliers (ADMM) via constraint projection and variable splitting was proposed to solve the problem.Finally, simulation experiments were carried out on MATLAB.Numerical results show that the proposed method improved the network delay and energy consumption compared to the fairness cooperation algorithm (FCA), the distributed optimization algorithm (DOA), and multi-subtasks-to-multi-servers offloading scheme (MTMS) algorithm.…”
Get full text

Optimal Distributed Configuration of Electric Heater and Heat Storage Considering Capacity Distribution by Ziqi ZHU, Weitao ZHANG, Mingliang HAN, Wensong ZHANG

“…In view of this, this paper proposed an optimal configuration method of EH and HS considering capacity distribution. …”
Get full text

Distributed cooperative spectrum sensing based on consensus optimization by ZENG Fan-zi, LIU Jie, LI Ren-fa, ZENG Qing-guang

“…A distributed wideband spectrum compressive sensing approach based on consensus optimization was developed.The cognitive radio users firstly collected the time-domain sampling by compressive sampling and recover the local spectrum.Then the spectrum of primary users is recovered jointly by cooperative cognitive radio users,which utilizes iterative consensus optimization to reach globally sensing outcomes via one-hop local communication only.In particular,a weighted consensus-averaging constraint is introduced to reduce the number of the consensus constraints,which lowers the computation loads and expedites the convergence.The convergence of the proposed distributed cooperative spectrum sensing scheme is proved analytically.Simulations demonstrate that the proposed scheme can effectively sense the spectrum from compressive sample.…”
Get full text

Distributed cooperative spectrum sensing based on consensus optimization by ZENG Fan-zi, LIU Jie, LI Ren-fa, ZENG Qing-guang

“…A distributed wideband spectrum compressive sensing approach based on consensus optimization was developed.The cognitive radio users firstly collected the time-domain sampling by compressive sampling and recover the local spectrum.Then the spectrum of primary users is recovered jointly by cooperative cognitive radio users,which utilizes iterative consensus optimization to reach globally sensing outcomes via one-hop local communication only.In particular,a weighted consensus-averaging constraint is introduced to reduce the number of the consensus constraints,which lowers the computation loads and expedites the convergence.The convergence of the proposed distributed cooperative spectrum sensing scheme is proved analytically.Simulations demonstrate that the proposed scheme can effectively sense the spectrum from compressive sample.…”
Get full text

Memory-optimized distributed utility mining for big data by Sunil kumar, Krishna Kumar Mohbey

“…We have proposed a parallel approach named distributed memory-optimized utility mining (DMOUM) for high utility-based frequent pattern mining to address this issue. …”
Get full text

Joint Planning of Distributed PV Stations and EV Charging Stations in the Distribution Systems Based on Chance-Constrained Programming by Xinsong Zhang, Yangyang Xu, Shengnan Lu, Cheng Lu, Yunxiang Guo

“…In the joint planning model, constraints on bus voltage deviations and line currents are both formulated as chance constraints to ensure that the distribution systems are in reasonable operating statues. …”
Get full text

Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops by Xin Yang, Xiaoying Yang, Jinhao Du

“…Furthermore, an improved crowding distance calculation enhances the algorithm’s performance in multi-objective optimization by improving solution distribution. Reinforcement learning is employed to dynamically adjust temperature parameters, improving both exploration and exploitation capabilities and thus enhancing the convergence of the algorithm. …”
Get full text

Optimization of Processor Clock Frequency for Sensor Network Nodes Based on Energy Use and Timing Constraints by Youngmin Kim, Heeju Joo, Chan-Gun Lee

Get full text

Leader-follower Optimal Selection Method for Distributed Control System in Active Distribution Networks by Jian Le, Liangang Zhao, Cao Wang, Qian Zhou, Yang Wang

“…On these bases, this study further investigates the leader optimal selection method for a DG group to improve the response speed of the distributed control system. …”
Get full text

Distributionally Robust Return-Risk Optimization Models and Their Applications by Li Yang, Yanxi Li, Zhengyong Zhou, Kejing Chen

“…Based on the risk control of conditional value-at-risk, distributionally robust return-risk optimization models with box constraints of random vector are proposed. …”
Get full text