提高暫態(tài)電壓穩(wěn)定水平的緊急控制策略研究
[Abstract]:With the rapid development of science and technology, many changes have taken place in the power system: large capacity generating sets are widely used, power systems are connected, the voltage level of the power grid is increased, and the load capacity is relatively concentrated. The application of DC transmission and new power electronic control devices, but limited by the environment and construction cost, the power grid structure is relatively weak, the storage of power generation equipment is less, and the system often runs under heavy load conditions. The proportion of modern sensitive load is increasing, which makes the problem of voltage stability more and more prominent. In this paper, based on the research topic of "optimal configuration of dynamic reactive Power compensation device in Guangdong Power Grid", the transient voltage stability and emergency control measures of transient voltage stability are deeply studied. Transient voltage emergency control is a kind of post-accident control. When the power system is in a state of emergency, appropriate measures are taken to make the power system return to the normal state or temporarily enter the recovery state. The common improvement measures are divided into two categories: one is the installation of dynamic reactive power compensation devices represented by static synchronous compensators, the other is emergency load cutting control. According to the two measures, the optimization model is built respectively, and the control cost is the lowest considering the voltage stability constraint. Then, taking the voltage sag probability as the improvement goal, the reactive power compensation and emergency load shedding are coordinated and controlled. The main work of this paper is as follows: firstly, considering transient voltage stability, an emergency load shedding optimization control model is proposed. Take the control cost as the optimization single objective function. The trajectory sensitivity method is introduced to transform the complex nonlinear optimal control model into a static linear integer programming model to simplify the difficulty of optimization. In order to find the optimal solution, the heuristic algorithm is used to propose the Lsi index, and the improvement degree of load shedding of each node is judged by the order of the numerical value, so as to judge the load shedding place and load cutting capacity. This method simplifies the calculation and does not have the iterative problem at the same time. Then, a dynamic reactive capacity optimization model is proposed. From the point of view of sensitive load, the voltage sag index is taken as the target of voltage improvement. In this paper, based on Monte Carlo theory, the fault model is built, the fault occurrence type and fault occurrence time are randomly generated, and the voltage sag probability table is counted and generated. The voltage sag cost model is built, and the system active power loss cost and the investment cost of STATCOM compensation device are taken into account at the same time, and the annual total expenditure cost is generated to establish the optimization model. The relationship between sag cost and capacity function is obtained by curve fitting, which is convenient for subsequent capacity optimization calculation. The correctness and effectiveness of the method are verified by an example. Finally, an emergency voltage coordinated control strategy is proposed. Taking the probability index of voltage sag as the improvement object, considering the emergency load shedding control and STATCOM dynamic reactive power compensation, priority should be given to STATCOM reactive power compensation, and if the requirements are not met, the emergency load shedding control should be considered and coordinated. Minimize the probability of voltage sag. The simulation results show that the probability of voltage sag is greatly reduced and the effect is obvious.
【學(xué)位授予單位】:湖南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TM712
【參考文獻(xiàn)】
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