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| 1 | Distributed fixed step-size algorithm for dynamic economic dispatch with power flow limits显示文摘In this study,a discrete-time distributed algorithm is proposed for solving the dynamic economic dispatch problem with active power flow limits and transmission line loss.To avoid the communication burden and implement the algorithm in a favorably distributed manner,the splitting method is used to bypass the centralized updating of the algorithm’s parameters,which is unavoidable when implementing conventional Lagrangian methods.The use of a fixed step-size and distributed update enhances the applicability of the algorithm.The performance and effectiveness of the proposed distributed algorithm are verified via numerical studies on the IEEE 14-bus system. | Kun WANG Zao FU Qian XU Duxin CHEN Lei WANG Wenwu YU | 2021 | Science China(Information Sciences)2021，64，1： | 2 |
| 2 | A distributed normalized Nash equilibrium seeking algorithm for power allocation among micro-grids显示文摘In this paper, a power allocation problem based on the Cournot game and generalized Nash game is proposed. After integrating dynamic average consensus algorithm and distributed projection neural network through singular perturbation systems, a normalized Nash equilibrium seeking algorithm is presented to solve the proposed power allocation problem in a distributed way.Combine Lyapunov stability with the singular perturbation analysis, the convergence of the proposed algorithm is analyzed. A simulation on IEEE 118-bus confirms that the proposed distributed algorithm can adjust the power allocation according to different situations, while keeping the optimal solution within the feasible set. | FU Zao YU WenWu LU JinHu YAO YiYang MEI Feng | 2021 | Science China(Technological Sciences)2021，64，2： | 1 |
| 3 | Serological Survey of Zika Virus in Humans and Animals in Dejiang Prefecture, Guizhou Province,China显示文摘Objective The current outbreak of Zika virus(ZIKV)poses a severe threat to human health.Two ZIKV strains were isolated from mosquitoes collected from the Dejiang prefecture in China in 2016,which was the first isolation of ZIKV in nature in China.Methods In this study,serum samples were collected from 366 healthy individuals and 104 animals from Dejiang prefecture in 2017,and the plaque reduction neutralization test(PRNT)was used to evaluate the seroprevalence of ZIKV.Results None of the 366 residents from whom the samples were collected were seropositive for ZIKV.None of the 11 pigs from whom the samples were collected were seropositive for ZIKV,while 1 of 63(1.59%)chickens and 2 of 30(6.67%)sheep were seropositive for ZIKV.Conclusions The extremely low seropositivity rate of ZIKV antibodies in animals in the Dejiang prefecture,Guizhou province in this study indicates that ZIKV can infect animals;however,there is a low risk of ZIKV circulating in the local population. | LI Fan ZHOU Jing Zhu ZHOU Lei FU Shi Hong TIAN Zhen Zao WANG Qi SHAO Nan LI Dan HE Ying LEI Wen Wen TANG Guang Peng LIANG Guo Dong WANG Ding Ming ZHANG Yan Ping WANG Huan Yu | 2019 | Biomedical and Environmental Sciences2019，32，12： | 1 |
| 4 | Push-Sum Based Algorithm for Constrained Convex Optimization Problem and Its Potential Application in Smart Grid显示文摘Dear Editor,This letter aims to investigate the optimization problem where the decision variable is contained in a closed convex set.By combing the gradient decent-like method with the push-sum algorithm framework,we design the distributed iterative formulas under the condition that the considered graphs sequence is time-varying and unbalanced. | Qian Xu Zao Fu Bo Zou Hongzhe Liu Lei Wang | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，10： | 0 |
| 5 | A Privacy-Preserving Distributed Subgradient Algorithm for the Economic Dispatch Problem in Smart Grid显示文摘Dear Editor,This letter aims to establish a privacy-preserving distributed optimization algorithm by combining the consensus iteration by subgradients, which not only enables the privacy preservation of optimization but also guarantees the optimality of solutions with some bias bounds.In the setting of distributed optimization, a network of nodes, having their own objective functions depending on the global agents' state, would like to distributedly optimize the sum of all objective functions through the local agent-to-agent information change. | Qian Xu Chutian Yu Xiang Yuan Zao Fu Hongzhe Liu | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，7： | 0 |
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