As the current global environment is deteriorating,distributed renewable energy is gradually becoming an important member of the energy internet.Blockchain,as a decentralized distributed ledger with decentralization,t...As the current global environment is deteriorating,distributed renewable energy is gradually becoming an important member of the energy internet.Blockchain,as a decentralized distributed ledger with decentralization,traceability and tamper-proof features,is an importantway to achieve efficient consumption andmulti-party supply of new energy.In this article,we establish a blockchain-based mathematical model of multiple microgrids and microgrid aggregators’revenue,consider the degree of microgrid users’preference for electricity thus increasing users’reliance on the blockchainmarket,and apply the one-master-multiple-slave Stackelberg game theory to solve the energy dispatching strategy when each market entity pursues the maximum revenue.The simulation results show that the blockchain-based dynamic game of the multi-microgrid market can effectively increase the revenue of both microgrids and aggregators and improve the utilization of renewable energy.展开更多
针对上肢肌音信号(Mechanomyography,MMG)动作识别准确率不高的问题,提出一种基于粒子群算法(PSO)与长短期记忆网络相结合的混合模型(Particle Swarm Optimization-Long Short Term Memory,PSO-LSTM)的动作识别方法。采用5通道传感器对...针对上肢肌音信号(Mechanomyography,MMG)动作识别准确率不高的问题,提出一种基于粒子群算法(PSO)与长短期记忆网络相结合的混合模型(Particle Swarm Optimization-Long Short Term Memory,PSO-LSTM)的动作识别方法。采用5通道传感器对受试者进行上肢肌音信号采集,使用巴特沃斯滤波(Butterworth Filter)等方法对肌音信号进行预处理,并进行特征提取;构建基于PSO-LSTM的上肢肌音信号识别模型并进行模型训练和测试;最后从不同测度对比了长短期记忆(LSTM)模型、麻雀搜索算法(Sparrow Search Algorithm,SSA)优化的LSTM模型(Sparrow Search Algorithm-Long Short Term Memory, SSA-LSTM)以及PSO-LSTM模型的实验结果。结果表明,PSO-LSTM模型的准确度均高于LSTM、 SSA-LSTM模型,达到96.9%左右,在迭代损失、迭代速度等方面也优于LSTM、SSA-LSTM模型,从而证明了该模型用于上肢肌音信号识别的优越性。展开更多
With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through the deployment ...With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through the deployment of energy storage.To solve the problem of the interests of different subjects in the operation of the energy storage power stations(ESS)and the integrated energy multi-microgrid alliance(IEMA),this paper proposes the optimization operation method of the energy storage power station and the IEMA based on the Stackelberg game.In the upper layer,ESS optimizes charging and discharging decisions through a dynamic pricing mechanism.In the lower layer,IEMA optimizes the output of various energy conversion coupled devices within the IEMA,as well as energy interaction and demand response(DR),based on the energy interaction prices provided by ESS.The results demonstrate that the optimization strategy proposed in this paper not only effectively balances the benefits of the IEMA and ESS but also enhances energy consumption rates and reduces IEMA energy costs.展开更多
为实现避碰时机的选择,在船舶自主航行决策阶段需建立符合《1i972年国际海上避碰规则》和良好船艺的碰撞危险度模型。首i先,基于MMG(Mathematcal Model Group)和模糊PID(Proportion Integral Differental)航向控制器,建立自适应航向控...为实现避碰时机的选择,在船舶自主航行决策阶段需建立符合《1i972年国际海上避碰规则》和良好船艺的碰撞危险度模型。首i先,基于MMG(Mathematcal Model Group)和模糊PID(Proportion Integral Differental)航向控制器,建立自适应航向控制模型,模拟船舶非线性转向运动过程;解析局面要素的物理含义,建立求解局面要素模型;根据不同局面,计算可避让他船的最小改向角;最后,以反映会遇局面客观属性的最小改向角模型为基础,提出碰撞危险度单一指标模型并仿真验证。仿真表明,提出的碰撞危险度符合航海实践,能展示多船会遇局面下不同时刻的碰撞危险度并演绎变化规律。模型能够实现单船会遇时避碰时机的判断,多船会遇时优先避让目标的确定,为自主航行奠定坚实理论基础。展开更多
为提高海上搜救效率,提出一种基于船舶操纵运动数学模型研究小组(Ship Manoeuvring Mathematical Model Group,MMG)模型的船舶动态扇形自动搜寻模式。在充分考虑风、流等外界扰动影响的基础上,不需要额外进行风、流等漂流模型的推算,以M...为提高海上搜救效率,提出一种基于船舶操纵运动数学模型研究小组(Ship Manoeuvring Mathematical Model Group,MMG)模型的船舶动态扇形自动搜寻模式。在充分考虑风、流等外界扰动影响的基础上,不需要额外进行风、流等漂流模型的推算,以Matlab软件中Simulink模块为工具进行仿真。仿真结果表明:在不依赖GPS船位的前提下,船舶的航向、舵角、航速均符合航海实践要求。该搜寻模式可提高应对海上突发事故的搜救能力,从而减少突发事故中的人员伤亡和财产损失。展开更多
中国五矿与澳大利亚OZ矿业公司的交易17日完成交割。OZ矿业经结算调整获得13．54亿美元资金，而五矿获得OZ矿业大部分核心矿产。在完成收购后，五矿将在澳洲注册成立一家新公司——Minemlsand Mining Group Limited（MMG），以管理开发...中国五矿与澳大利亚OZ矿业公司的交易17日完成交割。OZ矿业经结算调整获得13．54亿美元资金，而五矿获得OZ矿业大部分核心矿产。在完成收购后，五矿将在澳洲注册成立一家新公司——Minemlsand Mining Group Limited（MMG），以管理开发这些资产。展开更多
基金This research was funded by the NSFC under Grant No.61803279in part by the Qing Lan Project of Jiangsu,in part by the China Postdoctoral Science Foundation under Grant Nos.2020M671596 and 2021M692369+3 种基金in part by the Suzhou Science and Technology Development Plan Project(Key Industry Technology Innovation)under Grant No.SYG202114in part by the Open Project Funding from Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Anhui Jianzhu University,under Grant No.IBES2021KF08in part by the Postgraduate Research&Practice Innovation Program of Jiangsu Province under Grant No.KYCX23_3320in part by the Postgraduate Research&Practice Innovation Program of Jiangsu Province under Grant No.SJCX22_1585.
文摘As the current global environment is deteriorating,distributed renewable energy is gradually becoming an important member of the energy internet.Blockchain,as a decentralized distributed ledger with decentralization,traceability and tamper-proof features,is an importantway to achieve efficient consumption andmulti-party supply of new energy.In this article,we establish a blockchain-based mathematical model of multiple microgrids and microgrid aggregators’revenue,consider the degree of microgrid users’preference for electricity thus increasing users’reliance on the blockchainmarket,and apply the one-master-multiple-slave Stackelberg game theory to solve the energy dispatching strategy when each market entity pursues the maximum revenue.The simulation results show that the blockchain-based dynamic game of the multi-microgrid market can effectively increase the revenue of both microgrids and aggregators and improve the utilization of renewable energy.
文摘针对上肢肌音信号(Mechanomyography,MMG)动作识别准确率不高的问题,提出一种基于粒子群算法(PSO)与长短期记忆网络相结合的混合模型(Particle Swarm Optimization-Long Short Term Memory,PSO-LSTM)的动作识别方法。采用5通道传感器对受试者进行上肢肌音信号采集,使用巴特沃斯滤波(Butterworth Filter)等方法对肌音信号进行预处理,并进行特征提取;构建基于PSO-LSTM的上肢肌音信号识别模型并进行模型训练和测试;最后从不同测度对比了长短期记忆(LSTM)模型、麻雀搜索算法(Sparrow Search Algorithm,SSA)优化的LSTM模型(Sparrow Search Algorithm-Long Short Term Memory, SSA-LSTM)以及PSO-LSTM模型的实验结果。结果表明,PSO-LSTM模型的准确度均高于LSTM、 SSA-LSTM模型,达到96.9%左右,在迭代损失、迭代速度等方面也优于LSTM、SSA-LSTM模型,从而证明了该模型用于上肢肌音信号识别的优越性。
基金supported by the Guangxi Science and Technology Major Special Project (Project Number GUIKEAA22067079-1).
文摘With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through the deployment of energy storage.To solve the problem of the interests of different subjects in the operation of the energy storage power stations(ESS)and the integrated energy multi-microgrid alliance(IEMA),this paper proposes the optimization operation method of the energy storage power station and the IEMA based on the Stackelberg game.In the upper layer,ESS optimizes charging and discharging decisions through a dynamic pricing mechanism.In the lower layer,IEMA optimizes the output of various energy conversion coupled devices within the IEMA,as well as energy interaction and demand response(DR),based on the energy interaction prices provided by ESS.The results demonstrate that the optimization strategy proposed in this paper not only effectively balances the benefits of the IEMA and ESS but also enhances energy consumption rates and reduces IEMA energy costs.
文摘为实现避碰时机的选择,在船舶自主航行决策阶段需建立符合《1i972年国际海上避碰规则》和良好船艺的碰撞危险度模型。首i先,基于MMG(Mathematcal Model Group)和模糊PID(Proportion Integral Differental)航向控制器,建立自适应航向控制模型,模拟船舶非线性转向运动过程;解析局面要素的物理含义,建立求解局面要素模型;根据不同局面,计算可避让他船的最小改向角;最后,以反映会遇局面客观属性的最小改向角模型为基础,提出碰撞危险度单一指标模型并仿真验证。仿真表明,提出的碰撞危险度符合航海实践,能展示多船会遇局面下不同时刻的碰撞危险度并演绎变化规律。模型能够实现单船会遇时避碰时机的判断,多船会遇时优先避让目标的确定,为自主航行奠定坚实理论基础。
文摘为提高海上搜救效率,提出一种基于船舶操纵运动数学模型研究小组(Ship Manoeuvring Mathematical Model Group,MMG)模型的船舶动态扇形自动搜寻模式。在充分考虑风、流等外界扰动影响的基础上,不需要额外进行风、流等漂流模型的推算,以Matlab软件中Simulink模块为工具进行仿真。仿真结果表明:在不依赖GPS船位的前提下,船舶的航向、舵角、航速均符合航海实践要求。该搜寻模式可提高应对海上突发事故的搜救能力,从而减少突发事故中的人员伤亡和财产损失。
