内蒙古某风电场设计后评价

采用支持向量机方法对风电场短期风速设计后评估主要从技术方面对风电场设计进行综合评价．而不包括一般项目后评价中的财务评价、环境评价、经济评价和社会评价等内容,并且重点放在风能专业的风资源评价和发电量计算这两方面。在准确可靠的测风数据基础上,设计中的不确定性主要表现在3方面：1）风电场测风数据的代表年订正：2）风资源计算软件本身的误差;3）各种发电量折减系数的选取。对设计中的不确定性因素,结合风电场实际运行数据进行了比较分析,进一步给出了各种不确定因素的参考误差。     

上海地区风电场开发前景探讨

本文分析了我国风力发电现状和前景,针对上海地区风力资源提出了上海地区风电场开发的若干建议。     

滨海山地风电场工程项目后评价

结合福建省东山大帽山风电场工程的设计、建设和运行情况,从该风电场风能资源、微观选址、发电量等方面进行了项目后评价的技术评价,评价成果对于福建省滨海山地风电场具有很好的代表性,可为今后建设同类项目提供参考经验.     

1993年国外风电场的发展

概述了１９９３年国外风电场发展的规模，技术进展，经济效益，环境影响和发展趋势。     

关于风电场设计相关问题的探讨

风电场的宏观选址、风电机组的微观选址、升压站和主控楼的选址以及风电机组的选型在风电工程设计过程中都有着举足轻重的作用。风电项目设计者必须重视这些方面的问题,使项目经济效益达到最大化。     

海上风电场开发

20世纪 70年代石油危机以后,开始了风能利用的新时代。世界上很多国家开始制定计划,考虑开发海上风电场。海上风电场的风速高于陆地风电场的风速,但海上风电场与电网联接的成本比陆地风电场要高。这两个相反因素比较之后,海上风电场的成本和陆地风电场的基本上相同。1海上风电场发展进程　　海上风电场的开发主要集中在欧洲和美国。大致可分为五个不同时期：　　欧洲对国家级海上风电场的资源和技术进行研究 (1977— 1988年 );　　欧洲级海上风电场研究,并开始实施第一批示范计划 (1990— 1998年 );　　中型海上风电场 (1991— 199…     

大型风电场的监控系统

本文介绍了大型风电场监控系统的控制要求，详细说明了监控系统的基本内容，包括通讯方式，上下位机硬件匹配，抗干扰研究及监控软件的编制，同时介绍了系统的总体设计方案。     

风电场风电机组的接地设计

较系统地介绍了风电场风电机组对接地电阻的要求、接地设计思路及方法,并提供实际工程中接地网布置图实例作为参考。     

风电场微观选址及发电量预测的探讨

对风资源评估、选址地面情况和风机位置的排布等影响风电场微观选址的因素进行了分析.阐述了风电场发电量的预测方法,通过实例说明如何使用相关软件来预测风电场发电量,并根据预测结果对风电场微观选址注意事项进行了探讨.     

含变速双馈风电机组风电场的等值问题

在研究含变速双馈风电机组的风电场对电网的影响时,需要建立合理的风电场模型.文章介绍了大型风电场的等值建模的主要特点,探讨了含变速双馈风电机组的风电场等值方法和在等值过程中应注意的问题,为今后变速双馈风电机组在大型并网风电场中的应用提供参考.     

并网风电场穿透功率极限确定方法探讨

确定风力发电场的穿透功率极限是风电场规划和运行的一项重要内容.文章建立了考虑风电机组的叶片、轮毂、齿轮箱和联轴器的异步风力发电机组数学模型;给出了风电场输出功率计算方法;在此基础上,采用频率约束法求取风电场穿透功率极限,指出了频率波动是影响风电场并网运行的主要因素.     

老爷庙风电场风能资源评价

本文利用老爷庙风电场2001年4月～2002年4月逐时平均风向、风速资料，对老爷庙风电场的风能资源各参数进行了计算和分析，并与附近星子气象站累年或同期资料进行比较，对老爷庙风电场风能资源进行评价。     

Investigating the possibility of using different hub height wind turbines in a wind farm

Many researchers have focused on the layout design of a wind farm using the computational methods. Most of previous researches focused on relevant large cell size and using same hub height wind turbines. In this paper, the authors investigate the possibility of using different hub height wind turbines in a wind farm. A limited area (2?km?×?2?km) with constant wind speed and direction is considered as the potential wind farm area, and a nested genetic algorithm is used as optimisation algorithm. Two different hub height wind turbines are introduced with two different cell sizes. Power output, cost, payback period, and total profit are selected as evaluation criteria when comparing the layouts with same hub height wind turbines with the layouts with different hub height wind turbines. The results demonstrate that it is feasible and possible to use different hub height wind turbines in a wind farm.     

风电场风机初步选型方法研究

市场上可供选择的风机种类众多,各类风机在性能、价格、维修及制造商服务等多方面都存在明显差异,因此在选择风机时有必要综合考虑多方面因素。鉴于工程上对风机作初步选型时采用的方法大多具有局限性,文章在确定影响风机选型的主要因素后提出一套风机初步选型方法,该方法根据拟建风电场的情况和设计人员的要求,综合考虑各因素后选出符合条件的风机。文章基于该选型方法将Visual Basic语言与Microsoft Access数据库相结合,开发出相应的选型系统,使整个选型过程更为方便、快捷。     

Adjustment of wind farm power output through flexible turbine operation using wind farm control

When the installed capacity of wind power becomes high, the power generated by wind farms can no longer simply be that dictated by the wind speed. With sufficiently high penetration, it will be necessary for wind farms to provide assistance with supply‐demand matching. The work presented here introduces a wind farm controller that regulates the power generated by the wind farm to match the grid requirements by causing the power generated by each turbine to be adjusted. Further, benefits include fast response to reach the wind farm power demanded, flexibility, little fluctuation in the wind farm power output and provision of synthetic inertia. Copyright © 2015 John Wiley & Sons, Ltd.     

Survey of wind farm control—power and fatigue optimization

The main goal of this paper is to establish the present state of the art for wind farm control. The control area that will be focused on is the mechanical/aerodynamic part, which includes the wind turbines, their power production, fatigue and wakes affecting neighbouring wind turbines. The sub‐objectives in this area of research are as follows: (i) maximizing the total wind farm power production; (ii) following a reference for the total wind farm active power; and (iii) doing this in a manner that minimizes fatigue loading for the wind turbines in the farm. Each of these sub‐objectives is discussed, including the following important control issues: choice of input and output, control method and modelling used for controller design and simulation. The available literature from industry is also considered. Finally, a conclusion is presented discussing the established results, open challenges and necessary research. Copyright © 2014 John Wiley & Sons, Ltd.     

Offshore wind farm design with the Coral Reefs Optimization algorithm

This paper presents a novel algorithm for wind farm design and layout optimization: the Coral Reefs Optimization algorithm (CRO). The CRO is a novel bio-inspired approach, based on the simulation of reef formation and coral reproduction. The CRO is fully described and detailed in this paper, and then applied to the design of a real offshore wind farm in northern Europe. It is shown that the CRO outperforms the results of alternative algorithms in this problem, such as Evolutionary Approaches, Differential Evolution or Harmony Search algorithms.