Study Of The Reactive Power Optimization In Power Grid With Wind Power

Wind power and its power generation technology have been developing rapidly in the past two decades. Countries around the world gradually made the wind power access to the traditional power grid, which has a strong competitiveness compared to fossil fuel power electricity generation. As an important guarantee of grid stability and effective operation, reactive power optimization technology has many problems to be solved after wind farm combined with grid. In this paper an intelligence optimization algorithm is used to improve the reactive power optimization (RPO), which can deal with part of these problems.1. In the paper, the Population Based Incremental Learning algorithm (PBIL), a kind of estimation of Distribution algorithm (EDA), was used as the intelligence optimization algorithm. Improvements have been made for the rapidly convergence speed, and poor diversity of the population of RPO. On the one hand, change the parameters of the evolution operator to a dynamic, making the information advantages of the probability vector in the evolutionary process can be adjusted according to the results of the evolutionary process, on the other hand added a mutation operator to improve the diversity of the population in the evolutionary process. After a number of function test experiments, results show that the improved PBIL algorithm has a significantly improvements on the diversity of the population and optimizing performance.2. Although to some extent, it, the combination of the wind farm grid, reduces the burden of the traditional farm, but at the same time it will also increase its interaction with the grid. In this paper, wind farm is merged with the grid according to the single machine equivalence principle. And in accordance with the trend characteristics of the wind farm, a grid active power loss expression of wind farm is obtained. And then the algorithm was used to solve the reactive power optimization in IEEE14bus system, IEEE30bus system and IEEE57bus system with wind power farms.3. A model for wind energy utilization, which based on conversation of energy and Betz theory, was combined the reactive power optimization, and then the reactive power optimization in intervallic time was got. The PBIL algorithm was used to solve this problem in IEEE14bus system and IEEE30bus system.