以系统总成本最小为目标函数,基于可再生能源发电混合系统优化仿真软件(Hybrid Optimization Model for Electric Renewables,HOMER),针对某工业园区的风光资源数据和负荷情况,进行了设备成本和参数设定。在获得的配置方案中,对比分析...以系统总成本最小为目标函数,基于可再生能源发电混合系统优化仿真软件(Hybrid Optimization Model for Electric Renewables,HOMER),针对某工业园区的风光资源数据和负荷情况,进行了设备成本和参数设定。在获得的配置方案中,对比分析了并网型风光储、风光互补以及风储、光储发电系统的优化配置方案,分析其弃电率和经济性,验证了风光储系统的优越性,最终得到并网型风光储互补发电系统总净现成本最小的配置,并对其各设备的年发电量、系统可靠性及经济性进行了分析,可为可再生能源多能互补微电网风光储系统容量优化配置的研究提供参考。展开更多
Solar system design for green hydrogen production has become the most prominent renewable energy research area, and this has also actively fueled the desire to achieve net-zero emissions. Hydrogen is a promising energ...Solar system design for green hydrogen production has become the most prominent renewable energy research area, and this has also actively fueled the desire to achieve net-zero emissions. Hydrogen is a promising energy carrier because it possesses more energy capacity than fossil fuels and the abundant nature of renewable energy systems can be utilized for green hydrogen production. However, the design of an optimized electrical energy system required for hydrogen production is crucial. Solar energy is indeed beneficial for green hydrogen production and this research designed, discussed, and provided high-level research on HOMER design for green hydrogen production and deployed the energy requirement with ASPEN Plus to optimize the energy system, while also incorporating fuzzy logic and PID control approaches. In addition, a promising technology with a high potential for renewable hydrogen energy is the proton exchange membrane (PEM) electrolyzer. Since its cathode (hydrogen electrode) may be operated over a wide range of pressure, a control process must be added to the system in order for it to work dynamically efficiently. This system can be characterized as an analogous circuit that consists of a resistor, capacitor, and reversible voltage. As a result, this research work also explores the Fuzzy-PID control of the PEM electrolysis system. Both the PID and Fuzzy Logic control systems were simulated using the control simulation program Matlab R2018a, which makes use of Matlab script files and the Simulink environment. Based on the circuit diagram, a transfer function that represents the mathematical model of the plant was created, and the PEM electrolysis control system is determined to be highly significant and applicable to the two control systems. The PI controller, however, has a 30.8% overshoot deficit, but when the fuzzy control system is compared to the PID controller, it is found that the fuzzy control system achieves stability more quickly, demonstrating its benefit over PID.展开更多
文摘以系统总成本最小为目标函数,基于可再生能源发电混合系统优化仿真软件(Hybrid Optimization Model for Electric Renewables,HOMER),针对某工业园区的风光资源数据和负荷情况,进行了设备成本和参数设定。在获得的配置方案中,对比分析了并网型风光储、风光互补以及风储、光储发电系统的优化配置方案,分析其弃电率和经济性,验证了风光储系统的优越性,最终得到并网型风光储互补发电系统总净现成本最小的配置,并对其各设备的年发电量、系统可靠性及经济性进行了分析,可为可再生能源多能互补微电网风光储系统容量优化配置的研究提供参考。
文摘Solar system design for green hydrogen production has become the most prominent renewable energy research area, and this has also actively fueled the desire to achieve net-zero emissions. Hydrogen is a promising energy carrier because it possesses more energy capacity than fossil fuels and the abundant nature of renewable energy systems can be utilized for green hydrogen production. However, the design of an optimized electrical energy system required for hydrogen production is crucial. Solar energy is indeed beneficial for green hydrogen production and this research designed, discussed, and provided high-level research on HOMER design for green hydrogen production and deployed the energy requirement with ASPEN Plus to optimize the energy system, while also incorporating fuzzy logic and PID control approaches. In addition, a promising technology with a high potential for renewable hydrogen energy is the proton exchange membrane (PEM) electrolyzer. Since its cathode (hydrogen electrode) may be operated over a wide range of pressure, a control process must be added to the system in order for it to work dynamically efficiently. This system can be characterized as an analogous circuit that consists of a resistor, capacitor, and reversible voltage. As a result, this research work also explores the Fuzzy-PID control of the PEM electrolysis system. Both the PID and Fuzzy Logic control systems were simulated using the control simulation program Matlab R2018a, which makes use of Matlab script files and the Simulink environment. Based on the circuit diagram, a transfer function that represents the mathematical model of the plant was created, and the PEM electrolysis control system is determined to be highly significant and applicable to the two control systems. The PI controller, however, has a 30.8% overshoot deficit, but when the fuzzy control system is compared to the PID controller, it is found that the fuzzy control system achieves stability more quickly, demonstrating its benefit over PID.
