极端灾害将导致电力系统与通信系统同时发生大面积瘫痪,基于“保电救灾、通信先行”原则,优先恢复故障通信是支撑保障电力系统安全运行的关键。该文针对灾后电力通信高效恢复问题,提出了一种计及电力侧状态感知需求与运行调控能力保障...极端灾害将导致电力系统与通信系统同时发生大面积瘫痪,基于“保电救灾、通信先行”原则,优先恢复故障通信是支撑保障电力系统安全运行的关键。该文针对灾后电力通信高效恢复问题,提出了一种计及电力侧状态感知需求与运行调控能力保障的增广路径最大流电力通信网络恢复算法。首先考虑到电力通信系统与电力物理系统的紧耦合特性,设计了计及电力侧影响的状态感知与运行调控能力量化指标,辨识关键信息节点。然后,通过图论最大流理论,搜寻关键信息节点的增广路径集。在此基础上,引入恢复贡献度,从增广路径集中选择具有大容量、低延时以及少故障链路的通信路径进行优先重建,为灾后电力系统快速恢复过程提供可达、可靠的通信支撑。最后,以IEEE39标准系统作为仿真算例,验证了所提恢复策略下的通信系统具有更高的通信服务质量(quality of service,QoS),避免了在恢复过程中由于带宽容量不足而发生业务频繁掉线风险。展开更多
为了提高矿工隐患辨识能力、降低矿工不安全行为发生概率,实现矿工视知觉不安全状态综合评价,首先,研究基于矿工视知觉不安全状态内涵及形成过程,通过扎根理论构建了包含4个一级指标、18个二级指标的评价指标体系;其次,运用组合赋权法...为了提高矿工隐患辨识能力、降低矿工不安全行为发生概率,实现矿工视知觉不安全状态综合评价,首先,研究基于矿工视知觉不安全状态内涵及形成过程,通过扎根理论构建了包含4个一级指标、18个二级指标的评价指标体系;其次,运用组合赋权法确定各指标权重,并通过ABC(Activity Based Classification)分类法将指标分为三级;最后,采用云模型法实现矿工视知觉不安全状态综合评价。结果显示:(1)矿工视知觉不安全状态是一种受外部信息、环境、个体感知及认知水平影响的安全行为能力不佳状态;(2)照明条件、对比度、表现形式、微气候、经验、视野、噪声、情绪是矿工视知觉不安全状态的主要影响因素;(3)H煤矿矿工视知觉不安全状态评价结果为比较安全,符合客观实际情况。展开更多
The operation variables,including feed rate of ore slurry,caustic solution and live steams in the double-stream alumina digestion process,determine the product quality,process costs and the environment pollution.Previ...The operation variables,including feed rate of ore slurry,caustic solution and live steams in the double-stream alumina digestion process,determine the product quality,process costs and the environment pollution.Previously,they were set by the technical workers according to the offline analysis results and an empirical formula,which leads to unstable process indices and high consumption frequently.So,a multi-objective optimization model is built to maintain the balance between resource consumptions and process indices by taking technical indices and energy efficiency as objectives,where the key technical indices are predicted based on the digestion kinetics of diaspore.A multi-objective state transition algorithm(MOSTA)is improved to solve the problem,in which a self-adaptive strategy is applied to dynamically adjust the operator factors of the MOSTA and dynamic infeasible threshold is used to handle constraints to enhance searching efficiency and ability of the algorithm.Then a rule based strategy is designed to make the final decision from the Pareto frontiers.The method is integrated into an optimal control system for the industrial digestion process and tested in the actual production.Results show that the proposed method can achieve the technical target while reducing the energy consumption.展开更多
文摘极端灾害将导致电力系统与通信系统同时发生大面积瘫痪,基于“保电救灾、通信先行”原则,优先恢复故障通信是支撑保障电力系统安全运行的关键。该文针对灾后电力通信高效恢复问题,提出了一种计及电力侧状态感知需求与运行调控能力保障的增广路径最大流电力通信网络恢复算法。首先考虑到电力通信系统与电力物理系统的紧耦合特性,设计了计及电力侧影响的状态感知与运行调控能力量化指标,辨识关键信息节点。然后,通过图论最大流理论,搜寻关键信息节点的增广路径集。在此基础上,引入恢复贡献度,从增广路径集中选择具有大容量、低延时以及少故障链路的通信路径进行优先重建,为灾后电力系统快速恢复过程提供可达、可靠的通信支撑。最后,以IEEE39标准系统作为仿真算例,验证了所提恢复策略下的通信系统具有更高的通信服务质量(quality of service,QoS),避免了在恢复过程中由于带宽容量不足而发生业务频繁掉线风险。
文摘为了提高矿工隐患辨识能力、降低矿工不安全行为发生概率,实现矿工视知觉不安全状态综合评价,首先,研究基于矿工视知觉不安全状态内涵及形成过程,通过扎根理论构建了包含4个一级指标、18个二级指标的评价指标体系;其次,运用组合赋权法确定各指标权重,并通过ABC(Activity Based Classification)分类法将指标分为三级;最后,采用云模型法实现矿工视知觉不安全状态综合评价。结果显示:(1)矿工视知觉不安全状态是一种受外部信息、环境、个体感知及认知水平影响的安全行为能力不佳状态;(2)照明条件、对比度、表现形式、微气候、经验、视野、噪声、情绪是矿工视知觉不安全状态的主要影响因素;(3)H煤矿矿工视知觉不安全状态评价结果为比较安全,符合客观实际情况。
基金Project(62073342)supported by the National Natural Science Foundation of ChinaProject(2014 AA 041803)supported by the Hi-tech Research and Development Program of China。
文摘The operation variables,including feed rate of ore slurry,caustic solution and live steams in the double-stream alumina digestion process,determine the product quality,process costs and the environment pollution.Previously,they were set by the technical workers according to the offline analysis results and an empirical formula,which leads to unstable process indices and high consumption frequently.So,a multi-objective optimization model is built to maintain the balance between resource consumptions and process indices by taking technical indices and energy efficiency as objectives,where the key technical indices are predicted based on the digestion kinetics of diaspore.A multi-objective state transition algorithm(MOSTA)is improved to solve the problem,in which a self-adaptive strategy is applied to dynamically adjust the operator factors of the MOSTA and dynamic infeasible threshold is used to handle constraints to enhance searching efficiency and ability of the algorithm.Then a rule based strategy is designed to make the final decision from the Pareto frontiers.The method is integrated into an optimal control system for the industrial digestion process and tested in the actual production.Results show that the proposed method can achieve the technical target while reducing the energy consumption.
