海上风电场疲劳分布与有功功率统一控制

发布时间：2018-05-02 08:14

本文选题：风电场 + 有功功率　；参考：《电工技术学报》2015年22期

【摘要】：针对风电场各机组疲劳不均匀导致机组维护不同步的问题,以及风电场疲劳优化和有功功率控制顾此失彼的现状,将机组疲劳优化问题转化为有功功率控制问题,综合考虑尾流效应的影响,提出了利用风电场限值发电形成的有功功率调节自由度进行疲劳优化的原理,基于最优控制理论给出了风电场疲劳分布与有功功率统一控制的控制策略;为使控制策略可基于风电场现有软硬件环境实现,重点基于多智能体技术研究了控制策略的实现方法,设计了多智能体系统的部署方案、智能体层次状态机和智能体间的信息交互方案。仿真表明,提出的方法能在保证风电场有功功率跟踪调度给定值、不损失发电量的前提下,均匀风电场疲劳分布,保证各机组维护的同步性,降低维护频率,减少维护成本。
[Abstract]:In view of the problem that the unit maintenance is out of sync due to the inhomogeneous fatigue of each unit in the wind farm, and the current situation of wind farm fatigue optimization and active power control, the problem of unit fatigue optimization is transformed into the active power control problem. Considering the influence of wake effect, the principle of fatigue optimization based on the active power regulation degree of freedom formed by wind farm limit power generation is put forward. Based on the optimal control theory, the control strategy of wind farm fatigue distribution and active power unified control is given, and the control strategy can be realized based on the existing hardware and software environment of wind farm. The implementation method of control strategy is studied based on multi-agent technology. The deployment scheme of multi-agent system and the information exchange scheme between agent level state machine and agent are designed. The simulation results show that the proposed method can ensure the given value of active power tracking and dispatch of wind farm without loss of generating power, ensure the fatigue distribution of wind farm, ensure the synchronicity of maintenance of every unit, reduce the maintenance frequency and reduce the maintenance cost.
【作者单位】：湘潭大学信息工程学院;海上风力发电技术与检测国家重点实验室;国家能源风力发电机研发(实验)中心;中国电力科学研究院;
【基金】：国家自然科学基金(61379063) 湖南省自然科学省市联合基金(2015JJ5027)资助项目
【分类号】：TM614

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