俄罗斯研制出实验型波浪能发电系统

海浪总是周而复始、昼夜不停地拍击着海岸，其中所蕴藏的波浪能是一种取之不尽的可再生能源。为了简便有效地利用这一能源，俄罗斯科研人员不久前研制出了一种原理简单、成本较低的实验型波浪能发电系统。     

基于太阳能的光伏发电系统研究

本研究旨在探讨基于太阳能的光伏发电系统,为解决能源和环境问题提供可靠的解决方案。研究采用实验和理论分析相结合的方法,通过建立光伏发电系统模型,对其性能进行评估和优化。实验结果表明,光伏发电系统的输出功率与太阳辐射强度、环境温度、组件温度等因素密切相关,同时系统的转换效率也受到组件质量、阴影遮挡等因素的影响。为了提高系统的性能,本研究还探讨了光伏发电系统的优化策略,包括适当调整组件角度、增加组串数量、采用优质组件等。最终,本研究得出结论：基于太阳能的光伏发电系统是一种可行的可再生能源解决方案,但其性能和效益需要通过科学的设计和管理来实现最大化。本研究为光伏发电系统的优化和推广提供了理论支持和技术指导,对于推动我国能源结构调整和环境保护具有重要意义。     

中日合作太阳能光伏发电系统

中日双方为了对独立的光伏发电系统进行综合研究,在不同气候和环境条件下测试光伏发电系统发电设备,促进光伏技术的应用,由日本新能源综合技术开发机构 (NEDO)与国家计委基础产业发展司签署了共同承担“边远地区光伏发电系统合作试验研究项目”的协议,决定由日本能源经济研     

某15MW太阳能屋顶光伏发电工程的应用分析

在对太阳能屋顶光伏发电系统构成及发展意义阐述的基础上,通过对某15MW屋顶光伏发电工程大量实际数据的分析,表明太阳能屋顶光伏发电工程具有良好的社会、经济效益和广阔的发展前景。     

光伏发电在观光旅游上的应用

太阳能是一种可再生清洁能源。阐述了并网光伏发电技术。为了节约传统能源和更好的保护环境,在湖面上建设光伏发电系统,不仅提供了游客在观光旅游时电量的使用,而且也使游客眼前一亮。简述了在室外给电脑、手机及其他电子产品的充电过程,并且对光伏发电在未来发展趋势及应用进行了展望。     

可再生能源发电

可再生能源是指不会随人类的开发利用而衰减的能源,如风能、太阳能、生物质能、小水电（指设计能力低于２５兆瓦的工程）、海洋能、垃圾再利用能源、垃圾掩埋沼气、污水处理沼气、地热能等。我国的自然资源总量排世界第７位,能源资源总量居世界第３位。其中可再生能源资源尤其丰富,可开发风能资源２．５亿千瓦,水能资源７５４０万千瓦,生物质能１．２５亿千瓦,地热能６７０万千瓦,另外还有数量巨大的太阳能及城市垃圾利用潜力。１我国太阳能资源我国地处北半球欧亚大陆的东部,幅员辽阔,有着十分丰富的太阳能资源。我国各地的太阳辐…     

中国太阳能光伏发电产业现状及展望

通过对近年太阳能光伏发电和光伏制造产业(多晶硅、硅片、电池片和电池组)数据分析表明,我们西部地区以大型光伏电站为主,中东部地区以分布式光伏发电为主,特别是与建筑一体化的离网分布式光伏。受光伏发电的强劲牵引,我国光伏上游产业也日益壮大,已成为太阳能产品的出口大国。本文最后还对基于"互联网+"和当前的局限对太阳能光伏发电产业进行了展望。     

风光混合发电系统发电量的计算模型

本文介绍了风光混合发电系统风力发电量和光伏发电量的计算模型,提出了风频分布的规律和不同倾角倾斜面上辐射量的计算方法。     

光伏电力混合储能系统的能量管理策略研究

文章提出了一种光伏电力混合储能系统的能量管理控制策略,主要应用于含有光伏电源(Photovoltaic,PV)、电池能量存储(Battery Energy Storage, BES)和交流负载的发电网络系统中。该策略能够充分利用电力系统中组合架构之间的连接关系,有效缓解了目前电网中BES系统存在的过充电、欠充电等问题,并将充放电电流控制在一个相对稳定的范围内,延长了电池的使用寿命。分别在含有传统铅酸和锂离子电池的混合能量系统中使用6 kVA电源转换器进行实验,结果证明了所提出的能量管理策略的正确性和有效性。     

Evaluation of hybrid solar-wind-hydrogen energy system based on methanol electrolyzer

In this study, it is aimed to meet the annual electricity and heating needs of a house without interruption with the photovoltaic panel, wind turbine, methanol electrolyzer, and high temperature proton exchange membrane fuel cell system. The system results show that the use of the 2 WT with 18 PV was enough to provide the need of the methanol electrolyzer, which provides requirements of the high temperature proton exchange membrane fuel cell. The produced heat by the fuel cell was used to meet the heat requirement of the house with combined heat and power system. Electrical, thermal and total efficiencies of fuel cell system with combined heat and power were obtained as 38.54%, 51.77% and 90%, respectively. Additionally, the levelized cost of energy of the system was calculated as 0.295 $/kWh with combined heat and power application. The results of this study show that H₂ is useful for long-term energy storage in off-grid energy systems and that the proposed hybrid system may be the basis for future H₂-based alternative energy applications.     

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and RBFNSM for wind turbine in the grid connected mode

Photovoltaic (PV) generation is growing increasingly fast as a renewable energy source. Nevertheless, the drawback of the PV system is intermittent because of depending on weather conditions. Therefore, the wind power can be considered to assist for a stable and reliable output from the PV generation system for loads and improve the dynamic performance of the whole generation system in the grid connected mode. In this paper, a novel topology of an intelligent hybrid generation system with PV and wind turbine is presented. In order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) method is applied in the PV system. The average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentage points in comparison with the conventional methods. The pitch angle of the wind turbine is controlled by radial basis function network-sliding mode (RBFNSM). Different conditions are represented in simulation results that compare the real power values with those of the presented methods. The obtained results verify the effectiveness and superiority of the proposed method which has the advantages of robustness, fast response and good performance. Detailed mathematical model and a control approach of a three-phase grid-connected intelligent hybrid system have been proposed using Matlab/Simulink.     

A new approach of sizing battery energy storage system for smoothing the power fluctuations of a PV/wind hybrid system

In this paper, a new approach for optimally sizing the storage system employing the battery banks for the suppression of the output power fluctuations generated in the hybrid photovoltaic/wind hybrid energy system. At first, a novel multiple averaging technique has been used to find the smoothing power that has to be supplied by the batteries for the different levels of smoothing of output power. Then the battery energy storage system is optimally sized using particle swarm optimization according to the level of smoothing power requirement, with the constraints of maintaining the battery state of charge and keeping the energy loss within the acceptable limits. Two different case studies have been presented for different locations and different sizes of the hybrid systems in this work. The results of the simulation studies and detailed discussions are presented at the end to portrait the effectiveness of the proposed method for sizing of the battery energy storage system. Copyright © 2016 John Wiley & Sons, Ltd.     

风/光互补发电系统的优化设计

在分析现有风/光互补发电系统研究的基础上,确定风机容量与PV组件容量在系统总容量中所占的比例;根据安装地点气候条件与地理条件、负载要求,估算出蓄电池的最低容量,并归纳设计各部件的数量和类型选择的约束关系;综合给出一种适合于风/光互补发电系统优化设计的模型。     

Simulation of a novel hybrid solar photovoltaic/wind system to maintain the cell surface temperature and to generate electricity

A hybrid solar photovoltaic/wind system is proposed and investigated theoretically. The hybrid system is based on attaching a converging inclined duct beneath the photovoltaic (PV) panels and directed upward after the end of the panels. A wind turbine is attached at the exit of the converging duct. The converging duct will capture wind currents that at its inlet and enhances these current by buoyancy effect created by the rejected heat from the panels. The mixed convection air flow is used in cooling the PV panels and in generating electricity by driving the wind turbine at the duct exit. A mathematical model is proposed to describe the system hydrodynamic and thermal behavior. In addition to the mixed convection case, the pure free convection case, when there is no wind speed, has been tested. The design of the wind duct capturing system is not included in this study, which should be carefully manufactured to eliminate the reversed flow. The simulation results show that the integration of both systems not only enhances the performance of PV cell due to the effective cooling but also generates more electric power from the inserted turbine. At low wind speeds, it is found that the ducting system helps more in cooling the panels rather than driving the wind turbine. At these low wind speeds, the buoyancy effect may have a significant effect. However, at high wind speeds, the ducting system acts in both cooling the panels and driving the turbine, and at these high speeds, the buoyancy effect is insignificant.     

Probabilistic analysis of weather data for a hybrid solar/wind energy system

In this paper, a procedure for the probabilistic treatment of solar irradiance and wind speed data is reported as a method of evaluating, at a given site, the electric energy generated by both a photovoltaic system and a wind system. The aim of the proposed approach is twofold: first, to check if the real probability distribution functions (PDFs) of both clearness index and wind speed overlap with Hollands and Huget and Weibull PDFs, respectively; and then to find the parameters of these two distributions that best fit the real data. Further, using goodness‐of‐fit tests, these PDFs are compared with another set of very common PDFs, namely the Gordon and Reddy and Lognormal functions, respectively. The results inform the design of a pre‐processing stage for the input of an algorithm that probabilistically optimizes the design of hybrid solar wind power systems. In this paper, the validity of the proposed procedure was tested using long‐term meteorological data from Acireale (Italy). Copyright © 2010 John Wiley & Sons, Ltd.     

基于改进遗传算法的风/光互补发电系统恒压控制

针对带有约束条件的风/光互补发电系统恒压控制这个多极值非线性组合优化问题,采用一种改进遗传算法,以系统发电成本最低为目标,根据拧制规则对一风/光互补发电系统的电压进行了优化.仿真结果表明.该算法能显著地提高收敛速度和计算精度,有效地提高了风/光互补发电系统的电压稳定性.     

Hybrid (solar and wind) energy system for Al Hallaniyat Island electrification

Wind–PV–diesel hybrid power generation system technology is a promising energy option since it provides opportunities for developed and developing countries to harness naturally available, inexhaustible and pollution-less resources. The aim of this study is to assess the techno-economic feasibility of utilizing a hybrid wind–PV–diesel power system to meet the load of Al Hallaniyat Island. Hybrid Optimization Model for Electric Renewables software has been employed to carry out the present study. The simulation results indicate that the cost of generating energy (COE) is $0.222 kWh^?1 for a hybrid system composed of a 70 kW PV system, 60 kW wind turbine and batteries together with a 324.8 kW diesel system. Moreover, using the same system but without batteries will increase the COE to $0.225 kWh^?1, the fuel consumption, the excess energy and the total operating hours for the diesel generators. The PV–wind hybrid option is techno-economically viable for rural electrification.     

Computer-aided design of PV/wind hybrid system

A complete set of match calculation methods for optimum sizing of PV/wind hybrid system is presented. In this method, the more accurate and practical mathematic models for characterizing PV module, wind generator and battery are adopted; combining with hourly measured meteorologic data and load data, the performance of a PV/wind hybrid system is determined on a hourly basis; by fixing the capacity of wind generators, the whole year’s LPSP (loss of power supply probability) values of PV/wind hybrid systems with different capacity of PV array and battery bank are calculated, then the trade-off curve between battery bank and PV array capacity is drawn for the given LPSP value; the optimum configuration which can meet the energy demand with the minimum cost can be found by drawing a tangent to the trade-off curve with the slope representing the relationship between cost of PV module and that of the battery. According to this match calculation method, a set of match calculation programs for optimum sizing of PV/wind hybrid systems have been developed. Applying these match calculation programs to an assumed PV/wind hybrid system to be installed at Waglan island of Hong Kong, the optimum configuration and its hourly, daily, monthly and yearly performances are given.