風(fēng)電集群多時(shí)間尺度有功功率協(xié)調(diào)控制策略
[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.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM614
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