风电集群多时间尺度有功功率协调控制策略

发布时间：2018-08-05 11:20

【摘要】：风力发电作为技术成熟度最高、应用最广泛的新能源发电方式,近年来得到了长足的发展。在规模风电并网难、消纳难,以及“弃风”问题无法得到有效解决的背景下,建立风电集中预测、控制与调度中心,提高大型风电基地的可观测性与可控性,优化利用风能资源,是风电成为未来电网优质电源的必经之路。因此,本文基于国家高技术研究发展计划(863计划)重大项目“风电场、光伏电站集群控制系统研究与开发”,结合甘肃酒泉地区风电集群运行管理的实际需要,就大规模风电集中并网有功功率协调控制问题展开了研究,具有一定的理论意义和应用价值。论文主要工作如下： (1)研究了计及规模风电的多时间尺度、分层分区相协调的调度策略。分析风电场的有功控制能力及其集中协调控制的必要性与可行性,提出将风电集群作为整体纳入电网一体化分布协调控制,研究规模风电多目标、多层级、多控制对象的有功功率控制。提出一种基于CPS实时指标的风电集群与常规电源的协调互补控制方法,缓解系统调峰压力。 (2)基于分层原则设计了风电集群有功功率控制系统,并给出集群主站与上级调度中心、下级风电场子站／分散接入风电机组之间的标准化通信点表,实现风电集群自下而上的可观测,自上而下的主动控制,为集群的智能调度奠定实施基础。 (3)为充分利用集群内风电场的实时协调能力,实现科学合理的容量分配,建立了一种动态优先排序法与多目标多约束优化算法相结合的风电集群有功功率实时控制模型。提出风电场／分散接入风电机组的动态分类及排序规则,基于优先控制序列和电网调度要求判定风电场实时控制模式；以提升风电的接纳比例、降低集群网损为目标,建立基于超短期风功率预测的有功功率分配模型,优化风电场出力,避免风电机组频繁启停,实现柔性连续控制。通过实际风电集群系统对实时控制策略进行了仿真和测试,验证了该方法的有效性和可行性。
[Abstract]:Wind power generation, as a new energy generation method with the highest technological maturity and the most extensive application, has been greatly developed in recent years. Under the background that it is difficult for large-scale wind power to be connected to the grid, difficult to absorb, and the problem of "abandoning wind" cannot be effectively solved, the centralized prediction, control and dispatch center of wind power is established to improve the observability and controllability of large wind power base. Optimizing the utilization of wind energy resources is the only way for wind power to become a high quality power supply in the future. Therefore, based on the important project of National High Technology Research and Development Program (863 Program), "Wind farm, research and development of photovoltaic power station cluster control system", combined with the actual needs of wind power cluster operation and management in Jiuquan area, Gansu Province, China. In this paper, the coordinated control of active power in a large scale wind power system is studied, which has certain theoretical significance and application value. The main work of this paper is as follows: (1) the scheduling strategy of multi-time scale, hierarchical and partitioned coordination for wind power generation is studied. This paper analyzes the active power control ability of wind farm and the necessity and feasibility of centralized coordinated control, and puts forward that wind power cluster should be integrated into the integrated distributed coordinated control of power grid, and research on scale wind power multi-objective and multi-level. Active power control of multiple control objects. A coordinated and complementary control method of wind power cluster and conventional power supply based on CPS real-time index is proposed to relieve the peak load of the system. (2) based on the principle of stratification, the active power control system of wind power cluster is designed. The standardized communication point table between the main station of the cluster and the superior dispatching center, the sub-station of the lower wind farm and the decentralized access to the wind turbine is given, which can realize the observation from the bottom up and the active control from the top to the bottom of the wind power cluster. (3) in order to make full use of the real-time coordination ability of the wind farm in the cluster, realize the scientific and reasonable capacity distribution, A real-time control model of active power in wind power cluster is established, which combines dynamic precedence method with multi-objective and multi-constraint optimization algorithm. The dynamic classification and sorting rules of wind farm / decentralized access wind turbine are put forward to determine the real time control mode of wind farm based on priority control sequence and grid dispatching requirements, and the aim is to increase the acceptance ratio of wind power and reduce the cluster network loss. An active power distribution model based on ultra-short-term wind power prediction is established to optimize wind farm output, avoid frequent start and stop of wind turbine, and realize flexible continuous control. The real time control strategy is simulated and tested in the wind power cluster system, and the effectiveness and feasibility of the method are verified.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM614

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