Today,ship development has concentrated on electrifying ships in commercial and military applications to improve efficiency,support highpower missile systems and reduce emissions.However,the electric propulsion of the...Today,ship development has concentrated on electrifying ships in commercial and military applications to improve efficiency,support highpower missile systems and reduce emissions.However,the electric propulsion of the shipboard system experiences torque fluctuation,thrust,and power due to the rotation of the propeller shaft and the motion of waves.In order tomeet these challenges,a new solution is needed.This paper explores hybrid energy management systems using the battery and ultracapacitor to control and optimize the electric propulsion system.The battery type and ultracapacitor are ZEBRA and MAXWELL,respectively.The 3-,4-and 5-blade propellers are considered to produce power and move rapidly.The loss factor has been reduced,and the sea states have been found through the Elephant Herding Optimization algorithm.The efficiency of the proposed system is greatly enhanced through torque,thrust and power.The model predictive controller control strategy is activated to reduce load torque and drive system Root Average Square(RMS)error.The implementations are conducted under the MATLAB platform.The values for torque,current,power,and error are measured and plotted.Finally,the performance of the proposed methodology is compared with other available algorithms such as BAT and Dragonfly(DF).The simulation results show that the results of the proposed method are superior to those of various techniques and algorithms such as BAT and Dragonfly.展开更多
Microgrids are being developed as a building block for future smart grid system.Key issues for the control and operation of microgrid include integration technologies and energy management schemes.This paper presents ...Microgrids are being developed as a building block for future smart grid system.Key issues for the control and operation of microgrid include integration technologies and energy management schemes.This paper presents an overview of grid integration and energy management strategies of microgrids.It covers a review of power electronics interface topologies for different types of distributed generation(DG)units in a microgrid,a discussion of energy management strategies,as well as the DG interfacing converter control schemes.Considering the intermittent nature of many renewable energy based DG units,the ancillary services of DGs using the available interfacing converter rating are also discussed in the paper.展开更多
The solar insecticidal lamp(SIL)is an innovative green control device.Nevertheless,a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency.The substantial energy...The solar insecticidal lamp(SIL)is an innovative green control device.Nevertheless,a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency.The substantial energy consumption required to turn on the SIL,coupled with the extension of insecticidal working time during the low pest activity periods,can result in low energy efficiency.Especially when the energy storage level is below 50%,the inefficient use of energy significantly reduces the effectiveness of pest control.Consequently,an ineffective on/off scheme for these lamps may lead to suboptimal energy utilization.In this paper,we present the solar insecticidal lamp intelligent energy management scheme(SIL-IEMS)to address the challenge of inefficient energy utilization in the solar insecticidal lamp internet of things(SIL-IoT).SIL-IEMS primarily utilizes genetic algorithm(GA)and greedy algorithms to optimize insecticidal working time by considering constraints such as residual energy and the number of trap pests.Comparing SIL-IEMS to the traditional remote switching method(TRSM)and the solar insecticidal lamp genetic algorithm(SILGA),our simulation results showcase its superior energy efficiency and pest control effectiveness.Particularly noteworthy is the SILIEMS's 17.6%increase in insecticidal efficiency compared to TRSM and 6%improvement over SILGA when the SIL begins with a remaining energy level of 15%.展开更多
文摘Today,ship development has concentrated on electrifying ships in commercial and military applications to improve efficiency,support highpower missile systems and reduce emissions.However,the electric propulsion of the shipboard system experiences torque fluctuation,thrust,and power due to the rotation of the propeller shaft and the motion of waves.In order tomeet these challenges,a new solution is needed.This paper explores hybrid energy management systems using the battery and ultracapacitor to control and optimize the electric propulsion system.The battery type and ultracapacitor are ZEBRA and MAXWELL,respectively.The 3-,4-and 5-blade propellers are considered to produce power and move rapidly.The loss factor has been reduced,and the sea states have been found through the Elephant Herding Optimization algorithm.The efficiency of the proposed system is greatly enhanced through torque,thrust and power.The model predictive controller control strategy is activated to reduce load torque and drive system Root Average Square(RMS)error.The implementations are conducted under the MATLAB platform.The values for torque,current,power,and error are measured and plotted.Finally,the performance of the proposed methodology is compared with other available algorithms such as BAT and Dragonfly(DF).The simulation results show that the results of the proposed method are superior to those of various techniques and algorithms such as BAT and Dragonfly.
文摘Microgrids are being developed as a building block for future smart grid system.Key issues for the control and operation of microgrid include integration technologies and energy management schemes.This paper presents an overview of grid integration and energy management strategies of microgrids.It covers a review of power electronics interface topologies for different types of distributed generation(DG)units in a microgrid,a discussion of energy management strategies,as well as the DG interfacing converter control schemes.Considering the intermittent nature of many renewable energy based DG units,the ancillary services of DGs using the available interfacing converter rating are also discussed in the paper.
基金supported in part by the National Natural Science Foundation of China(62072248).
文摘The solar insecticidal lamp(SIL)is an innovative green control device.Nevertheless,a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency.The substantial energy consumption required to turn on the SIL,coupled with the extension of insecticidal working time during the low pest activity periods,can result in low energy efficiency.Especially when the energy storage level is below 50%,the inefficient use of energy significantly reduces the effectiveness of pest control.Consequently,an ineffective on/off scheme for these lamps may lead to suboptimal energy utilization.In this paper,we present the solar insecticidal lamp intelligent energy management scheme(SIL-IEMS)to address the challenge of inefficient energy utilization in the solar insecticidal lamp internet of things(SIL-IoT).SIL-IEMS primarily utilizes genetic algorithm(GA)and greedy algorithms to optimize insecticidal working time by considering constraints such as residual energy and the number of trap pests.Comparing SIL-IEMS to the traditional remote switching method(TRSM)and the solar insecticidal lamp genetic algorithm(SILGA),our simulation results showcase its superior energy efficiency and pest control effectiveness.Particularly noteworthy is the SILIEMS's 17.6%increase in insecticidal efficiency compared to TRSM and 6%improvement over SILGA when the SIL begins with a remaining energy level of 15%.
