Location And Capacity Allocation Of Wind Farms Based On Modal Analysis And QV Curve Method

In recent years, wind power is developing faster and faster and the technology of wind power becomes more and more mature, which makes wind power widely used. Then the size of wind farm has a big increase, so the proportion of wind power grid gradually becomes high. The wind is not controllable in nature, which results the wind power output of wind farm is fluctuant, so large scale wind farms can not be ignored in the flow distribution and the voltage stability of power grid. At present, the problems of wind farm operation have been researched very carefully at home and abroad,and many useful conclusions are arrived at. But the research for a regional wind farm site selection and optimal capacity allocation in early stage of each wind farm is very little.This paper presents a method of site selection of wind farm at the early stages. The method combines the method of modal analysis and Q-V curve to analyze power system. The first step is to analyze the access point of standby wind power by using modal analysis after gaining access points of the auxiliary wind farms which have similarity in wind level and wind power generation capacity After gaining the participation factor of each node, the strong or weak access points of wind power are sorted and filtered out, then the access points are analyzed and validated by using the method of Q-V curve. The second step is to determine the capacity of these access points after getting the access point of strong wind power. The capacity of each wind farm is allocated optimumly by using evolutionary strategy algorithm. When the system is broken after accessing wind power, the system must be compensated reactive power, and the method of reactive power compensation is based on the modal analysis method to get the best installation location.This simulation system is based on IEEE30 bus system, the total power of wind power system is given in advance. Firstly, six access points of wind power are selected, then the strong and weak access points of wind power are selected by using the method of modal analysis and Q-V curve.Secondly, to gaining the maximum injection power of wind power which is as upper limit of optimization algorithm, six access points of wind power is separately increased wind injection power until the system crashes. This paper analyzes and optimize the three access points of strong wind power and three access points of weak wind power. Obviously, three access points of strong wind power can accept more wind power. Finally, when the largest injection power of the three access points of strong wind power can not meet the demand of this system, the scheme of reactive power compensation is presented.