This study presents a robust design method for autonomous photovoltaic (PV)-wind hybrid power systems to obtain an optimum system configuration insensitive to design variable variations. This issue has been formulated...This study presents a robust design method for autonomous photovoltaic (PV)-wind hybrid power systems to obtain an optimum system configuration insensitive to design variable variations. This issue has been formulated as a constraint multi-objective optimization problem, which is solved by a multi-objective genetic algorithm, NSGA-II. Monte Carlo Simulation (MCS) method, combined with Latin Hypercube Sampling (LHS), is applied to evaluate the stochastic system performance. The potential of the proposed method has been demonstrated by a conceptual system design. A comparative study between the proposed robust method and the deterministic method presented in literature has been conducted. The results indicate that the proposed method can find a large mount of Pareto optimal system configurations with better compromising performance than the deterministic method. The trade-off information may be derived by a systematical comparison of these configurations. The proposed robust design method should be useful for hybrid power systems that require both optimality and robustness.展开更多
This paper introduces a temperature control technique for a medical herb dryer system. The technique fixes the drying temperature of the medical herbs at 40℃ even in cases of rapidly changing atmospheric conditions. ...This paper introduces a temperature control technique for a medical herb dryer system. The technique fixes the drying temperature of the medical herbs at 40℃ even in cases of rapidly changing atmospheric conditions. The control of the dryer temperature is achieved through using on/off controller. The designed dryer contains two systems, which are the thermal and electrical systems. The thermal system is designed to heat the drying air by using solar water collector and electric heater. While, the electrical system which contains a photovoltaic (PV)-WIND hybrid system is used to feed the different electrical loads of the dryer system. The control technique is investigated through simulation work by using MATLAB-SIMULINK. The simulation results indicate the high capability of the proposed technique in controlling the drying temperature, even in case of rapidly changing atmospheric conditions.展开更多
为提高风光储微电网的电能质量与能量管理可靠性,在分析光伏发电特性、风力发电特性和储能特性的基础上,文中提出一种基于模糊逻辑控制器(Fuzzy Logic Controller,FLC)的风光储微电网能量管理方法。光伏阵列采用最大功率点跟踪(Maximum ...为提高风光储微电网的电能质量与能量管理可靠性,在分析光伏发电特性、风力发电特性和储能特性的基础上,文中提出一种基于模糊逻辑控制器(Fuzzy Logic Controller,FLC)的风光储微电网能量管理方法。光伏阵列采用最大功率点跟踪(Maximum Power Point Tracking,MPPT)技术,可从控制器中获取更多功率。为了有效控制桥式整流器和双向DC-DC转换器,文中提出了精确模糊逻辑控制器(FLC),并给出了控制策略。利用MATLAB/Simulink平台搭建微电网模型进行仿真,对比不同场景下功率调整情况,结果表明,所提方法有效抑制了功率波动,实现了对储能功率有效分配,显著减少了充放电深度。展开更多
文摘This study presents a robust design method for autonomous photovoltaic (PV)-wind hybrid power systems to obtain an optimum system configuration insensitive to design variable variations. This issue has been formulated as a constraint multi-objective optimization problem, which is solved by a multi-objective genetic algorithm, NSGA-II. Monte Carlo Simulation (MCS) method, combined with Latin Hypercube Sampling (LHS), is applied to evaluate the stochastic system performance. The potential of the proposed method has been demonstrated by a conceptual system design. A comparative study between the proposed robust method and the deterministic method presented in literature has been conducted. The results indicate that the proposed method can find a large mount of Pareto optimal system configurations with better compromising performance than the deterministic method. The trade-off information may be derived by a systematical comparison of these configurations. The proposed robust design method should be useful for hybrid power systems that require both optimality and robustness.
文摘This paper introduces a temperature control technique for a medical herb dryer system. The technique fixes the drying temperature of the medical herbs at 40℃ even in cases of rapidly changing atmospheric conditions. The control of the dryer temperature is achieved through using on/off controller. The designed dryer contains two systems, which are the thermal and electrical systems. The thermal system is designed to heat the drying air by using solar water collector and electric heater. While, the electrical system which contains a photovoltaic (PV)-WIND hybrid system is used to feed the different electrical loads of the dryer system. The control technique is investigated through simulation work by using MATLAB-SIMULINK. The simulation results indicate the high capability of the proposed technique in controlling the drying temperature, even in case of rapidly changing atmospheric conditions.
文摘为提高风光储微电网的电能质量与能量管理可靠性,在分析光伏发电特性、风力发电特性和储能特性的基础上,文中提出一种基于模糊逻辑控制器(Fuzzy Logic Controller,FLC)的风光储微电网能量管理方法。光伏阵列采用最大功率点跟踪(Maximum Power Point Tracking,MPPT)技术,可从控制器中获取更多功率。为了有效控制桥式整流器和双向DC-DC转换器,文中提出了精确模糊逻辑控制器(FLC),并给出了控制策略。利用MATLAB/Simulink平台搭建微电网模型进行仿真,对比不同场景下功率调整情况,结果表明,所提方法有效抑制了功率波动,实现了对储能功率有效分配,显著减少了充放电深度。
