Wind Power Locating And Sizing In Distribution Network Based On Minimum Voltage Stability Margin

The rapid development of large-scale socialized production and depleting conventional energy, leading to energy and environmental problems have become more severe. Development of distributed generation (Distributed Generation, DG) has become one of the important measures to promote energy conservation around the world.Distributed Wind generation (Distributed Wind Generation, DWG) as a mature technology, renewable energy has a very good environmental benefits, but also have the characteristics of random fluctuations, when accessing to the distribution grid will have a significant impact on the system operation, the impact extent of its pros and cons are closely related to the DWG installation location and capacity. How to optimize the position and capacity of DWG in the distribution network, in order to give full play to the positive role of its good environmental benefits of improving the environment and the power grid economy, while controlling its negative impact on power quality owing to its output of random fluctuation, is a research project worthy of further study.This paper pointed out that when large-scale distributed wind power accessing to distribution network, the system nodes voltage stability margin will be greatly affected owing to the random fluctuations output of DWG, while the previous research of the node voltage stability margin few consider the impact of DWG random output. Therefore, this paper proposed node minimum voltage stability index (MVSMI). The MVSMI based on the original node voltage stability index adding the random output factors of DWG.In order to quantify the good environmental benefits of distributed wind power, this paper established an integrated electricity cost model including the environmental costs into total costs. Owing to that when Distributed Wind Generation accessing to the distribution network it can replace part of thermal power capacity, which has the capacity economic benefits; it can also replace part of the generating capacity of thermal power, which has the power economic benefits. This paper made the sum of capacity and power economic benefits as the overall economic benefits that DWG bring to the system when it access to the distribution network.This paper established a locating and sizing multi-objective optimal model of distributed wind power in the distribution network, and the model has two objective functions:maximize minimum voltage stability margin of system node and maximize economic benefits of power distribution system.This paper established an adaptive mutation multi-objective particle swarm algorithm, which based on the basic particle swarm algorithm and made appropriate improvements for its existing problems, and used it for solving multi-objective optimization model established.Finally the validity of the model proposed is verified through IEEE-33 node distribution network and simulation results show that the proposed model can obtain the two aspects effect of DWG output power on the node voltage of distribution network and the economic benefits it brought, can obtain evenly distributed optimal solution. The simulation results also show that the minimum voltage stability index mentioned can get system node voltage stability margin when considering the random output of DWG, can provide a better guidance for the locating and sizing multi-objective programming of DWG in distribution network.