A whispering gallery mode resonator(WGMR)filter can narrow laser linewidth while significantly changing the output power characteristics of fiber laser system.It is found that traditional laser output power model is i...A whispering gallery mode resonator(WGMR)filter can narrow laser linewidth while significantly changing the output power characteristics of fiber laser system.It is found that traditional laser output power model is invalid.We report a correction model of a narrow linewidth fiber laser filtered with a WGMR to analyze its power.We believe that the loss of the laser system and the threshold gain increase caused by the WGMR filter lead to the predominate amplified spontaneous emission during the original laser period.According to that,we assume the correction coefficient is an exponential decay related to the Er-doped fiber length in the large loss situation,and we verify it experimentally.As a result,the correction model is valid for WGMR-filtered fiber laser.展开更多
The complexity of distribution network model mainly depends on the model scale of grid-connected distributed photovoltaic (PV) power generation. Therefore, the simulation performance of multi-scale PV model is the key...The complexity of distribution network model mainly depends on the model scale of grid-connected distributed photovoltaic (PV) power generation. Therefore, the simulation performance of multi-scale PV model is the key factor of the simulation accuracy in the specific operating scenarios of distribution network. In this paper, a multi-scale model of grid connected PV distributed generation system is proposed based on the mathematical model of grid-connected distributed PV power generation. It is analyzed that differences of simulation performance, such as adaptability of simulation step size, accuracy of output and the effect on voltage profile of distribution network, between PV models with different scales in IEEE 33 node example. Simulation results indicate that the multi-scale model is effective in improving the accuracy and efficiency of simulation under different operating conditions of distribution network.展开更多
In the scope of solar energy-based electrical needs in rural tropical regions, the present article develops and confronts experimental power models from the using of manufacturer data and a new model made with the met...In the scope of solar energy-based electrical needs in rural tropical regions, the present article develops and confronts experimental power models from the using of manufacturer data and a new model made with the meteorological and electrical data acquired. These data are registered through an acquisition station around a monocrystalline photovoltaic panel, designed and realized in the scope of this work. After the acquisition of meteorological data, a choice of the most relevant meteorological variable as input vectors to express the output powers obtained was carried out. Around the Single-Diode model, seven models are performed with analytics equations, iterative methods and an optimization method with a multi-objective function to get internal parameters. The proposed experimental model is made by a combination of the solution got at STC of an iterative method, with the value of nameplate and the use of an open circuit voltage equation with experimental coefficient to predict power output in operating conditions, and it’s demonstrated more efficient. The optimization of a multi-objective function using Nonlinear Squares (NLS) through the Leveng-Marqued method to solve the parameter estimation of a PV panel has been well done and the results are useful, like classic iterative method and less time-consuming.展开更多
风电场配置电池储能系统(Battery Energy Storage System,BESS)是提高风电场调度计划精确度的有效手段。为提高风储联合发电系统跟踪调度计划出力能力、增加BESS收益,文章提出了一种基于模型预测控制(Model Predictive Control,MPC)和...风电场配置电池储能系统(Battery Energy Storage System,BESS)是提高风电场调度计划精确度的有效手段。为提高风储联合发电系统跟踪调度计划出力能力、增加BESS收益,文章提出了一种基于模型预测控制(Model Predictive Control,MPC)和双层模糊控制的BESS跟踪风电计划出力控制策略。首先,基于MPC方法建立了以并网功率与计划出力偏差、储能系统剩余容量偏离理想值最小为目标;其次,结合BESS实时荷电状态(State of Charge,SOC)与风电功率计划值动态跟踪需求,通过引入第一层模糊控制规则,实时调整目标函数中的权重系数,以获得最佳跟踪效果。同时,为提高BESS收益,结合SOC和峰谷分时电价,采用第二层模糊控制规则,对BESS的充放电功率进行修正;最后,在风储联合发电系统实验平台上对所提控制策略进行了验证,仿真结果表明,与传统MPC方法相比,所提控制策略提高了风储系统跟踪计划出力能力,避免了BESS越限,具有良好的峰谷套利收益。展开更多
基金supported by the National Natural Science Foundation of China(NSFC)(No.52075131)。
文摘A whispering gallery mode resonator(WGMR)filter can narrow laser linewidth while significantly changing the output power characteristics of fiber laser system.It is found that traditional laser output power model is invalid.We report a correction model of a narrow linewidth fiber laser filtered with a WGMR to analyze its power.We believe that the loss of the laser system and the threshold gain increase caused by the WGMR filter lead to the predominate amplified spontaneous emission during the original laser period.According to that,we assume the correction coefficient is an exponential decay related to the Er-doped fiber length in the large loss situation,and we verify it experimentally.As a result,the correction model is valid for WGMR-filtered fiber laser.
文摘The complexity of distribution network model mainly depends on the model scale of grid-connected distributed photovoltaic (PV) power generation. Therefore, the simulation performance of multi-scale PV model is the key factor of the simulation accuracy in the specific operating scenarios of distribution network. In this paper, a multi-scale model of grid connected PV distributed generation system is proposed based on the mathematical model of grid-connected distributed PV power generation. It is analyzed that differences of simulation performance, such as adaptability of simulation step size, accuracy of output and the effect on voltage profile of distribution network, between PV models with different scales in IEEE 33 node example. Simulation results indicate that the multi-scale model is effective in improving the accuracy and efficiency of simulation under different operating conditions of distribution network.
文摘In the scope of solar energy-based electrical needs in rural tropical regions, the present article develops and confronts experimental power models from the using of manufacturer data and a new model made with the meteorological and electrical data acquired. These data are registered through an acquisition station around a monocrystalline photovoltaic panel, designed and realized in the scope of this work. After the acquisition of meteorological data, a choice of the most relevant meteorological variable as input vectors to express the output powers obtained was carried out. Around the Single-Diode model, seven models are performed with analytics equations, iterative methods and an optimization method with a multi-objective function to get internal parameters. The proposed experimental model is made by a combination of the solution got at STC of an iterative method, with the value of nameplate and the use of an open circuit voltage equation with experimental coefficient to predict power output in operating conditions, and it’s demonstrated more efficient. The optimization of a multi-objective function using Nonlinear Squares (NLS) through the Leveng-Marqued method to solve the parameter estimation of a PV panel has been well done and the results are useful, like classic iterative method and less time-consuming.
文摘风电场配置电池储能系统(Battery Energy Storage System,BESS)是提高风电场调度计划精确度的有效手段。为提高风储联合发电系统跟踪调度计划出力能力、增加BESS收益,文章提出了一种基于模型预测控制(Model Predictive Control,MPC)和双层模糊控制的BESS跟踪风电计划出力控制策略。首先,基于MPC方法建立了以并网功率与计划出力偏差、储能系统剩余容量偏离理想值最小为目标;其次,结合BESS实时荷电状态(State of Charge,SOC)与风电功率计划值动态跟踪需求,通过引入第一层模糊控制规则,实时调整目标函数中的权重系数,以获得最佳跟踪效果。同时,为提高BESS收益,结合SOC和峰谷分时电价,采用第二层模糊控制规则,对BESS的充放电功率进行修正;最后,在风储联合发电系统实验平台上对所提控制策略进行了验证,仿真结果表明,与传统MPC方法相比,所提控制策略提高了风储系统跟踪计划出力能力,避免了BESS越限,具有良好的峰谷套利收益。
