基于安全域的安全约束机组组合与风电并网影响分析
[Abstract]:With the interconnection of regional power grid and a large number of grid connections of renewable power generation such as wind power, the operation status of power system is more complex, and the problem of safety and stability is becoming increasingly prominent. Power system dispatching is the first line to ensure the safe and stable operation of power network. It is urgent to develop methods and tools that can effectively consider the security and stability constraints in daily power grid dispatching. At the same time, with the increase of wind power permeability, doubly-fed wind farm poses a severe challenge to the safe and stable operation of power system. Based on the methodology of security domain, this paper has carried out the following research: firstly, the boundary based on security domain can be described by hyperplane approximation. This paper presents a multi-objective unit combination model which can comprehensively consider unit operation constraints, system constraints and network security constraints. The model has the following important characteristics: a. For the first time, branch power flow constraints, static voltage stability constraints and transient stability constraints are taken into account in power system dispatching before day, which provides an effective tool for power system dispatchers to deal with security constraints. The security margin of the scheduling scheme is evaluated by the distance between the running point and the security domain boundary, and the total operation cost and the security margin of the system are taken as the sub-objectives of the optimization at the same time. This provides a new way of thinking and method for the contradiction of economy and security of dispatching personnel in power system. Secondly, the small disturbance stability region of wind farm power system with doubly-fed wind farm is studied, and the relationship between the main electromechanical oscillation modes and the boundary of small disturbance stability region is analyzed. The influence of the wind farm before and after the access and the access position on the stability of the system is compared. Through a large number of simulations, it is found that the boundary of small disturbance stability region of power system can still be approximated by one or a few hyperplanes after the doubly-fed fan is connected into the space of node power injection within the range of engineering concern. It lays a foundation for small disturbance stability analysis and control of power system with doubly-fed fan. Thirdly, the probabilistic small disturbance stability analysis method of wind power system based on security domain is proposed. Compared with the traditional probabilistic small disturbance stability analysis method based on eigenvalue analysis, this method has obvious computational advantages and can significantly reduce the computational burden caused by uncertainties such as wind power and load in small disturbance stability analysis. At the same time, a small disturbance constrained optimal power flow model based on security domain is established to improve the small disturbance stability of wind power access system through generation rescheduling and abandonment. The model overcomes the difficulty that the traditional method is difficult to describe the stability constraint of small disturbance explicitly, and the validity of the model is verified by an example. Finally, the dynamic security domain of power system transient stability in wind farm with doubly-fed wind farm after the accident is studied in the node power injection space. The dynamic security domain changes before and after the doubly-fed fan connection are compared, and its mechanism is analyzed. Through a large number of simulations, it is found that the boundary of dynamic security domain of power system can still be fitted by one or a few hyperplanes after the doubly-fed fan is connected to the power system dynamic security domain in the space of node power injection. It provides an effective tool for safety monitoring, evaluation and control of wind power system.
【学位授予单位】:天津大学
【学位级别】:博士
【学位授予年份】:2014
【分类号】:TM614
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