风光互补路灯控制系统的设计

对风光互补路灯的使用特性进行了分析;对现有各种风光互补路灯控制系统所存在的问题进行了探讨和研究;提出了一种新的风光互补控制方法——逐步刹车保护法.逐步刹车保护法能很好的解决目前现有系统出现的刹车故障问题,提高了风光互补系统的可靠性.     

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。     

风光互补路灯无线传感控制器的应用

介绍了独立开发的一种高性能风光互补控制器专为高端的小型风光互补系统设计,适用于风光互补路灯系统和风光互补监控系统,可以解决现有风光互补路灯的很多不足之处。     

基于随机规划的风光互补系统容量配比方法

在风光互补系统的容量配比研究中,并未考虑风光发电实际输出功率的随机性.提出了一种基于随机规划的风光互补系统容量配比方法.考虑到风光发电的实际输出功率具有随机性,基于随机规划理论建立以功率平稳输出为目标的风光互补系统容量配比模型;利用基于随机模拟技术的粒子群算法求解模型,探讨了风光互补系统的最佳风光容量配比;并以琼海市某...     

风光互补发电系统中光伏方阵最佳倾角的计算方法

介绍一种计算风光互补发电系统中光伏方阵的最佳倾角的方法。用最小二乘法确定光伏方阵的最佳倾角:先计算出倾角β下各月倾斜面上的太阳能方阵发电量与风机发电量之和,然后减去各月负载耗电量的差,再求出一年内上述差值的平方和,能使得此平方和取得最小值的倾角即为方阵最佳倾角β。根据此方法确定出的最佳倾角可以使太阳能和风机发电量相对不足的月份的发电量尽量接近负载需求量,同时又可以解决有的月份风光发电量远大于负载需求,造成极大浪费的问题。     

风光互补发电系统的优化设计(Ⅰ)CAD设计方法

给出了一整套利用CAD进行风光互补发电系统优化设计的方法.为了精确确定系统每小时的运行状态,采用了更精确地表征组件特性及评估实际获得的风光资源的数学模型.为了寻找出以最小设备投资成本满足用户用电要求的系统配置,首先在风力发电机容量固定不变的前提下,计算了与该容量风力发电机匹配的不同容量的PV方阵和蓄电池所组成的风/光/蓄组合的全年功率供给亏欠率LPSP,根据总的设备投资成本最小化的原则筛选出一组与该容量风力发电机对应的满足用户给定系统供电可靠性即LPSP值的风/光/蓄组合;然后通过改变风力发电机的容量,优选出多个与不同容量风力发电机对应的既能满足用户用电要求同时总的设备购置成本又是最低的风/光/蓄组合,比较它们的成本最终唯一确定出以最小投资成本满足用户用电要求的优化的系统配置.     

红鹰能源风力发电机应用系统——风光互补路灯

一引言风光互补路灯是解决道路照明的一种理想自供电系统。“风光互补”是同时利用风能和太阳能进行发电的系统,两者具有良好的互补性,大大提高了发电系统的稳定性。风光互补路灯与传统路灯相比,具有以下优势（1）规划建设成本相同（部分路段甚至低于常规路灯建设成本）;（2）运营成本低（不消耗电能,从需维护成本）;（3）防盗措施可靠,安全性能高于普通路灯。     

风光互补发电技术在路灯照明中的应用

风光互补发电系统是由风力发电机、光伏组件、控制器、蓄电池、负载等组成的微型发电系统。系统以控制器为核心,由风力发电机、光伏组件把风能和光能转变为电能并储存于蓄电池中供负载使用。风光互补发电技术在路灯供电方面的应用,能充分利用绿色环保的可再生能源,具有深远的社会效益和长远的经济效益。     

基于改进拉格朗日算法的风光互补系统优化设计研究

从风光互补系统的经济性出发研究了风光互补系统的优化设计问题。以年度平均电量成本最小化作为目标,将太阳能光伏板面积、风电机组额定功率和蓄电池最大储能容量作为决策变量,构建了风光互补系统优化设计模型,并通过引入互补约束条件,将分段函数转化为连续函数,利用改进的拉格朗日分解法,由上而下分阶段求解模型。实例应用结果表明,利用优化模型计算所得结果在经济性和运算效率上有明显提高,验证了模型的可行性和算法的有效性。     

离网型风光互补发电系统匹配程序设计

以使用风力发电为主、光伏发电作为补充的原则进行风光互补发电系统优化设计的研究。通过合理选择风力机型号和光伏板安装倾角,充分利用了风能和太阳能的互补性,使用Matlab开发设计出风光互补发电系统匹配的优化程序。根据该优化方法设计的计算程序能更准确地设计出风光互补发电系统的匹配容量,中文化的参数操作界面在使用时更加方便直观,在实际工程使用时更加简单、实用。     

风光互补发电系统的实验研究

介绍风光互补发电系统组成,结合实例对风光互补系统的设备构成、设备参数、运行数据、发电量等进行了简要介绍,分析了该系统的运行情况。     

风电与燃气轮机互补发电系统发电成本分析

在采用风电场与小型燃气轮机组成的互补系统发电特性参数的基础上,详细分析了互补系统发电成本的构成和各自的计算方法。采用新疆达坂城风电场的风速数据,基于互补系统的发电特性参数和风电场与燃气轮机电站的发电成本构成,应用改进过的等额支付折算法,在当前的技术条件和价格下,计算了风电场子系统和燃气轮机电站子系统各自的折旧成本、燃料成本和运行维护成本,得到了整滚发电系统发电成本的计算方法,为在新疆地区实现这种互补发电系统提供经济分析基础。     

Framework design of a hybrid energy system by combining wind farm with small gas turbine power plants

Owing to the stochastic characteristic of natural wind speed, the output fluctuation of wind farm has a negative impact on power grid when a large-scale wind farm is connected to a power grid. It is very difficult to overcome this impact only by wind farm itself. A novel power system called wind-gas turbine hybrid energy system was discussed, and the framework design of this hybrid energy system was presented in detail in this paper. The hybrid energy system combines wind farm with several small gas turbine power plants to form an integrated power station to provide a relatively firm output power. The small gas turbine power plant has such special advantages as fast start-up, shutdown, and quick load regulation to fit the requirement of the hybrid energy system. Therefore, the hybrid energy system uses the output from the small gas turbine power plants to compensate for the output fluctuation from the wind farm for the firm output from the whole power system. To put this hybrid energy system into practice, the framework must be designed first. The capacity of the wind farm is chosen according to the capacity and units of small gas turbine power plants, load requirement from power grid, and local wind energy resource distribution. Finally, a framework design case of hybrid energy system was suggested according to typical wind energy resource in Xinjiang Autonomous Region in China.     

Framework design of a hybrid energy system by combining wind farm with small gas turbine power plants

Owing to the stochastic characteristic of natural wind speed, the output fluctuation of wind farm has a negative impact on power grid when a large-scale wind farm is connected to a power grid. It is very difficult to overcome this impact only by wind farm itself. A novel power system called wind-gas turbine hybrid energy system was discussed, and the framework design of this hybrid energy system was presented in detail in this paper. The hybrid energy system combines wind farm with several small gas turbine power plants to form an integrated power station to provide a relatively firm output power. The small gas turbine power plant has such special advantages as fast start-up, shutdown, and quick load regulation to fit the requirement of the hybrid energy system. Therefore, the hybrid energy system uses the output from the small gas turbine power plants to compensate for the output fluctuation from the wind farm for the firm output from the whole power system. To put this hybrid energy system into practice, the framework must be designed first. The capacity of the wind farm is chosen according to the capacity and units of small gas turbine power plants, load requirement from power grid, and local wind energy resource distribution. Finally, a framework design case of hybrid energy system was suggested according to typical wind energy resource in Xinjiang Autonomous Region in China.     

Wind-photovoltaic capacity coordination for a time-of-use rate industrial user

As the capacity of wind and photovoltaic (PV) generation systems increases, wind-PV capacity coordination for a time-of-use (TOU) rate industrial user may become an important problem. This coordination can maximise the economic benefits of investing in a wind generation system and a PV generation system. An evolutionary particle swarm optimisation approach to solve the wind-PV capacity coordination for a TOU rate industrial user is proposed. A benefit-cost ratio (BCR) is used to evaluate the economic benefit of investing in wind and PV generation systems for a TOU rate industrial user. The optimal contract capacities and the optimal installed capacities of the wind and PV generation systems for a TOU rate industrial user are obtained. The BCR of investing in wind and PV generation systems are maximised. Test results illustrate the merits of the proposed approach and help determine the impact of changes in electricity cost and capital cost on wind-PV capacity coordination for a TOU rate industrial user.     

试论风电运维费用量化评估的重要意义

作为衡量风电机组质量优劣的关键性经济指标,风电机组整个使用寿命周期内的运维费用,有必要纳入到风电机组招标评价体系中,杜绝投标过程中的低价竞争现象。通过建立风电机组质量量化评价体系,引导厂商提升质量,为业主提供产品选择标准,为金融保险提供评估依据。     

风电与燃气轮机发电互补系统结构与容量配比的研究

对在我国新疆地区采用风力发电与燃气轮机发电组成的互补发电系统的结构和在一定风能资源条件下两种发电系统的容量配比进行了研究。论文首先针对实测的新疆达坂城风电场的风速数据,采用整体风电场功率输出模型,得到了风电场的输出与分布。根据实际的风电场输出负荷,设计了互补中燃气轮机的几种方案。针对燃气轮机的部分负荷运行特点,设计了不同方案的互补运行规则。最后根据不同运行规则,计算了互补系统的整体特性,得到了在一定条件下风电与燃气轮机发电较合适的容量配比。     

Utility scale hybrid wind–solar thermal electrical generation: A case study for Minnesota

The performance of a hybrid wind–solar power plant in southwestern Minnesota is modeled for a 2-yr period using hourly wind and solar insolation data. The wind portion of the plant consists of four interconnected wind farms within a radius of 90 km. The solar component of the plant is a parabolic trough solar thermal electric generating system using a heat transfer fluid that drives a steam turbine. The market value of energy produced, retail value of energy produced, and levelized cost of energy of the hybrid plant are compared to those of an energy equivalent wind-only plant. Results show that adding solar thermal electric generating capacity to a wind farm rather than expanding with additional wind capacity provides cost–benefit trade-offs that will continue to change as the two technologies evolve. At the present time, we find that capital cost and levelized cost of energy favor a wind-only plant while electric load matching favors a hybrid wind–solar plant. Regional differences in the solar resource in the US influence the economic viability of the hybrid plant, and a comparison using the present model is made with one location in the Southwest. The hourly data analysis presented here is a possible tool for evaluating the overall economic feasibility and generating characteristics for a hybrid wind–solar thermal electric power plant for any location with available wind, solar, electric load, and price data.     

Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing

In this paper, we perform Simulated Annealing (SA) algorithm for optimizing size of a PV/wind integrated hybrid energy system with battery storage. The proposed methodology is a heuristic approach which uses a stochastic gradient search for the global optimization. In the study, the objective function is the minimization of the hybrid energy system total cost. And the decision variables are PV size, wind turbine rotor swept area and the battery capacity. The optimum result obtained by SA algorithm is compared with our former study’s result. Consequently, it is come up with that the SA algorithm gives better result than the Response Surface Methodology (RSM). The case study is realized for a campus area in Turkey.     

基于分级模糊控制风力太阳能混合发电控制系统的研究

针对分散式风力太阳能混合发电系统的特点,提出了基于分级模糊控制器的风力太阳能混合发电能量管理控制方法,设计了一四级分级模糊控制器来实现对系统的能量管理和控制;并对所设计的能量管理系统进行了仿真研究,仿真结果表明所设计的控制器具有良好的控制性能,证明此方案是可行的。