Due to the growing penetration of renewable energies(REs)in integrated energy system(IES),it is imperative to assess and reduce the negative impacts caused by the uncertain REs.In this paper,an unscented transformatio...Due to the growing penetration of renewable energies(REs)in integrated energy system(IES),it is imperative to assess and reduce the negative impacts caused by the uncertain REs.In this paper,an unscented transformation-based mean-standard(UT-MS)deviation model is proposed for the stochastic optimization of cost-risk for IES operation considering wind and solar power correlated.The unscented transformation(UT)sampling method is adopted to characterize the uncertainties of wind and solar power considering the correlated relationship between them.Based on the UT,a mean-standard(MS)deviation model is formulated to depict the trade-off between the cost and risk of stochastic optimization for the IES optimal operation problem.Then the UT-MS model is tackled by a multi-objective group search optimizer with adaptive covariance and Levy flights embedded with a multiple constraints handling technique(MGSO-ACL-CHT)to ensure the feasibility of Peratooptimal solutions.Furthermore,a decision-making method,improved entropy weight(IEW),is developed to select a final operation point from the set of Perato-optimal solutions.In order to verify the feasibility and efficiency of the proposed UT-MS model in dealing with the uncertainties of correlative wind and solar power,simulation studies are conducted on a test IES.Simulation results show that the UT-MS model is capable of handling the uncertainties of correlative wind and solar power within much less samples and less computational burden.Moreover,the MGSOACL-CHT and IEW are also demonstrated to be effective in solving the multi-objective UT-MS model of the IES optimal operation problem.展开更多
传统演示型多媒体教室作为高校最重要的、应用最广泛的教学阵地,其设计理念逐渐落伍,设备陈旧、应用模式单一等问题集中出现,已经无法适应"互联网+"时代对于教学环境的需求,急需优化改造。然而受制于资金等各种因素,无法大规...传统演示型多媒体教室作为高校最重要的、应用最广泛的教学阵地,其设计理念逐渐落伍,设备陈旧、应用模式单一等问题集中出现,已经无法适应"互联网+"时代对于教学环境的需求,急需优化改造。然而受制于资金等各种因素,无法大规模转向面向未来的智慧教室。文章基于这一背景,提出了一种"准智慧"教室的设计方案,在控制预算资金的基础上,通过提升基础网络设施水平,改进计算机系统,以BYOD(Bring Your Own Devices)与云桌面组合的方式取代传统PC,利用更新投影显示系统,拓展演示型多媒体教室的功能,在有效克服传统演示型多媒体教室弊端的同时将智慧教室的某些关键优势引入课堂教学,使多媒体教室具有更为浓厚的"互联网+"时代特征。展开更多
Nonlinear Equations(NEs),which may usually have multiple roots,are ubiquitous in diverse fields.One of the main purposes of solving NEs is to locate as many roots as possible simultaneously in a single run,however,it ...Nonlinear Equations(NEs),which may usually have multiple roots,are ubiquitous in diverse fields.One of the main purposes of solving NEs is to locate as many roots as possible simultaneously in a single run,however,it is a difficult and challenging task in numerical computation.In recent years,Intelligent Optimization Algorithms(IOAs)have shown to be particularly effective in solving NEs.This paper provides a comprehensive survey on IOAs that have been exploited to locate multiple roots of NEs.This paper first revisits the fundamental definition of NEs and reviews the most recent development of the transformation techniques.Then,solving NEs with IOAs is reviewed,followed by the benchmark functions and the performance comparison of several state-of-the-art algorithms.Finally,this paper points out the challenges and some possible open issues for solving NEs.展开更多
基金supported by the State Key Program of National Natural Science Foundation of China(No.51437006)the Fundamental Research Funds for the Central Universities and the China Postdoctoral Science Foundation(No.2017M622690).
文摘Due to the growing penetration of renewable energies(REs)in integrated energy system(IES),it is imperative to assess and reduce the negative impacts caused by the uncertain REs.In this paper,an unscented transformation-based mean-standard(UT-MS)deviation model is proposed for the stochastic optimization of cost-risk for IES operation considering wind and solar power correlated.The unscented transformation(UT)sampling method is adopted to characterize the uncertainties of wind and solar power considering the correlated relationship between them.Based on the UT,a mean-standard(MS)deviation model is formulated to depict the trade-off between the cost and risk of stochastic optimization for the IES optimal operation problem.Then the UT-MS model is tackled by a multi-objective group search optimizer with adaptive covariance and Levy flights embedded with a multiple constraints handling technique(MGSO-ACL-CHT)to ensure the feasibility of Peratooptimal solutions.Furthermore,a decision-making method,improved entropy weight(IEW),is developed to select a final operation point from the set of Perato-optimal solutions.In order to verify the feasibility and efficiency of the proposed UT-MS model in dealing with the uncertainties of correlative wind and solar power,simulation studies are conducted on a test IES.Simulation results show that the UT-MS model is capable of handling the uncertainties of correlative wind and solar power within much less samples and less computational burden.Moreover,the MGSOACL-CHT and IEW are also demonstrated to be effective in solving the multi-objective UT-MS model of the IES optimal operation problem.
文摘传统演示型多媒体教室作为高校最重要的、应用最广泛的教学阵地,其设计理念逐渐落伍,设备陈旧、应用模式单一等问题集中出现,已经无法适应"互联网+"时代对于教学环境的需求,急需优化改造。然而受制于资金等各种因素,无法大规模转向面向未来的智慧教室。文章基于这一背景,提出了一种"准智慧"教室的设计方案,在控制预算资金的基础上,通过提升基础网络设施水平,改进计算机系统,以BYOD(Bring Your Own Devices)与云桌面组合的方式取代传统PC,利用更新投影显示系统,拓展演示型多媒体教室的功能,在有效克服传统演示型多媒体教室弊端的同时将智慧教室的某些关键优势引入课堂教学,使多媒体教室具有更为浓厚的"互联网+"时代特征。
基金supported by the National Natural Science Foundation of China(No.62076225)the Natural Science Foundation of Guangxi Province(No.2020JJA170038)the High-Level Talents Research Project of Beibu Gulf(No.2020KYQD06).
文摘Nonlinear Equations(NEs),which may usually have multiple roots,are ubiquitous in diverse fields.One of the main purposes of solving NEs is to locate as many roots as possible simultaneously in a single run,however,it is a difficult and challenging task in numerical computation.In recent years,Intelligent Optimization Algorithms(IOAs)have shown to be particularly effective in solving NEs.This paper provides a comprehensive survey on IOAs that have been exploited to locate multiple roots of NEs.This paper first revisits the fundamental definition of NEs and reviews the most recent development of the transformation techniques.Then,solving NEs with IOAs is reviewed,followed by the benchmark functions and the performance comparison of several state-of-the-art algorithms.Finally,this paper points out the challenges and some possible open issues for solving NEs.
