传统的能量路由器能量管理策略未考虑多台设备之间的柔性互联关系,且在港口应用中港机负荷的冲击性和新能源发电的波动性,使区域电网的可靠供电和经济运行面临挑战。为此,基于模糊逻辑控制提出了一种适用于集群式岸电能量路由器的供能...传统的能量路由器能量管理策略未考虑多台设备之间的柔性互联关系,且在港口应用中港机负荷的冲击性和新能源发电的波动性,使区域电网的可靠供电和经济运行面临挑战。为此,基于模糊逻辑控制提出了一种适用于集群式岸电能量路由器的供能精细化就地管控策略。该方法考虑了互联岸电能量路由器之间输出功率的耦合影响,并依据并网模式下可能的功率流向制定了保证电力用户经济效益的模糊控制规则,使储能输出电流根据电池荷电状态(state of charge, SOC)、电网电价以及各台岸电能量路由器净输出功率的变化进行动态调整。该方法计及了互联系统间的协同作用,构建了互联系统间各端口传输功率关系,有利于分布式能源跨台区协同消纳,且不需要上层调度控制,减少了对通信的依赖。仿真结果验证了所提控制策略的有效性和可行性。展开更多
How to design an energy-efficient algorithm to maximize the network lifetime in complicated scenarios is a critical problem for heterogeneous wireless sensor networks(HWSN).In this paper, a clustering-tree topology co...How to design an energy-efficient algorithm to maximize the network lifetime in complicated scenarios is a critical problem for heterogeneous wireless sensor networks(HWSN).In this paper, a clustering-tree topology control algorithm based on the energy forecast(CTEF) is proposed for saving energy and ensuring network load balancing, while considering the link quality, packet loss rate, etc. In CTEF, the average energy of the network is accurately predicted per round(the lifetime of the network is denoted by rounds) in terms of the difference between the ideal and actual average residual energy using central limit theorem and normal distribution mechanism, simultaneously. On this basis, cluster heads are selected by cost function(including the energy, link quality and packet loss rate) and their distance.The non-cluster heads are determined to join the cluster through the energy, distance and link quality. Furthermore, several noncluster heads in each cluster are chosen as the relay nodes for transmitting data through multi-hop communication to decrease the load of each cluster-head and prolong the lifetime of the network. The simulation results show the efficiency of CTEF. Compared with low-energy adaptive clustering hierarchy(LEACH), energy dissipation forecast and clustering management(EDFCM) and efficient and dynamic clustering scheme(EDCS)protocols, CTEF has longer network lifetime and receives more data packets at base station.展开更多
文摘传统的能量路由器能量管理策略未考虑多台设备之间的柔性互联关系,且在港口应用中港机负荷的冲击性和新能源发电的波动性,使区域电网的可靠供电和经济运行面临挑战。为此,基于模糊逻辑控制提出了一种适用于集群式岸电能量路由器的供能精细化就地管控策略。该方法考虑了互联岸电能量路由器之间输出功率的耦合影响,并依据并网模式下可能的功率流向制定了保证电力用户经济效益的模糊控制规则,使储能输出电流根据电池荷电状态(state of charge, SOC)、电网电价以及各台岸电能量路由器净输出功率的变化进行动态调整。该方法计及了互联系统间的协同作用,构建了互联系统间各端口传输功率关系,有利于分布式能源跨台区协同消纳,且不需要上层调度控制,减少了对通信的依赖。仿真结果验证了所提控制策略的有效性和可行性。
基金supported by National Natural Science Foundation of China(61304256)Zhejiang Provincial Natural Science Foundation of China(LQ13F030013)+4 种基金Project of the Education Department of Zhejiang Province(Y201327006)Young Researchers Foundation of Zhejiang Provincial Top Key Academic Discipline of Mechanical Engineering and Zhejiang Sci-Tech University Key Laboratory(ZSTUME01B15)New Century 151 Talent Project of Zhejiang Province521 Talent Project of Zhejiang Sci-Tech UniversityYoung and Middle-aged Talents Foundation of Zhejiang Provincial Top Key Academic Discipline of Mechanical Engineering
文摘How to design an energy-efficient algorithm to maximize the network lifetime in complicated scenarios is a critical problem for heterogeneous wireless sensor networks(HWSN).In this paper, a clustering-tree topology control algorithm based on the energy forecast(CTEF) is proposed for saving energy and ensuring network load balancing, while considering the link quality, packet loss rate, etc. In CTEF, the average energy of the network is accurately predicted per round(the lifetime of the network is denoted by rounds) in terms of the difference between the ideal and actual average residual energy using central limit theorem and normal distribution mechanism, simultaneously. On this basis, cluster heads are selected by cost function(including the energy, link quality and packet loss rate) and their distance.The non-cluster heads are determined to join the cluster through the energy, distance and link quality. Furthermore, several noncluster heads in each cluster are chosen as the relay nodes for transmitting data through multi-hop communication to decrease the load of each cluster-head and prolong the lifetime of the network. The simulation results show the efficiency of CTEF. Compared with low-energy adaptive clustering hierarchy(LEACH), energy dissipation forecast and clustering management(EDFCM) and efficient and dynamic clustering scheme(EDCS)protocols, CTEF has longer network lifetime and receives more data packets at base station.