基于叶轮旋转储能的风电场自动发电控制策略研究

Nowadays, the requirement of wind farm output power control performance by power grid is more strictly. However, the traditional maximum wind power track operation of variable-speed wind turbine has some shortages, such as turbine output power is mainly decided by wind speed, and wind turbines generation dispatching is lack of optimizing. Aimed at enhancing wind farm power control ability and improving wind energy utilizing efficiency, in this research, the wind turbine power control strategy base on turbine rotate energy storage control is adopted as a fundament, and the wind turbine generation optimum dispatching strategy is studied, which is a key point for wind farm automatic generation control. The research includes:.(1) In order to improve doubly-fed wind turbine power control performance, a power control strategy based on wind turbine energy storage and its operation condition evaluating strategy is proposed, as a basis for wind turbines generation dispatching..(2) Based on operation condition evaluating method, a optimizing target for wind turbines generation optimum dispatching is proposed, considering both power grid requirement and wind turbine optimizing operating, which forms a target optimizing question with complex un-linearity. And a chaos genetic algorithm is designed for solving this problem. .This research is to supply academic fundament for optimizing design of wind farm automation generation control strategy.

电力系统对风电场调度响应要求日益提高，而基于变速风电机组最大风能追踪控制方式下的风电场，存在着功率输出对风速依赖性强、各风机负荷调度缺乏全局优化等问题。为此，本课题以基于变速双馈型风机叶轮旋转储能调节的功率控制策略为切入点，对风电场自动发电优化控制中关键的风机负荷调度策略展开研究，以期拓展风电场功率调节能力，提高风能综合利用效率。具体包括：.（1）以提高变速双馈风电机组功率主动控制能力为目标，提出一套完整的基于变速双馈型风机叶轮储能的全程功率控制策略及其运行状态评估策略，为风电机组负荷优化调度提供决策依据。.（2）以变速风机储能运行状态评价指标为基础，以兼顾电网调度要求及风机储能运行优化为目标，将风机负荷优化调度策略转化为复杂非线性目标优化问题，设计了一种基于混沌遗传算法的求解策略，对其应用进行研究。.本课题可望为风电场自动发电控制策略优化设计提供理论基础。

本课题针对目前由于电网限电约束条件下风电场运行所产生的新需求，将变速双馈风电机组参与电网调度中所需要解决的功率控制策略、状态评估、负荷分配等关键技术作为研究内容。主要包括：变速双馈风电机组储能运行功率控制策略及状态评价研究；风电场内风机负荷优化分配问题建模及求解策略研究； 风电场功率控制系统设计及应用研究。课题按照预定的研究方案及技术路线，在理论研究与实践应用方面开展了大量的工作，对所涉及研究内容进行了深入的研究。共发表课题相关SCI论文1篇，中文EI核心期刊论文6篇，国际会议论文2篇。授权国家发明专利3项，申请软件著作权1项。培养毕业硕士研究生2名。参与获得省部级科学技术二等奖1项。完成了预期研究任务。随着电网对风电企业发电考核机制的不断完善，对风电场运行的可预测性、可靠性、可控性及经济性要求将越来越高。本课题研究成果，可有效提高风电场调度可靠性及运营经济性，具有广阔的应用前景，是对促进风电能源真正成为未来电网优质电源而进行的有益探索。