The Research Of Regional Reactive Power Compensation And Optimization With Distributed Power

In recent years, the problems of energy and environment have become increasingly improtant, so the development and utilization of new energy sources are getting people’s attention gradually.Then the wind turbines and small hydropower distributed power are introduced into the power system because of their cleanliness and renewability, etc.The reactive power system optimization is not only an effective means to ensure grid security and economic, but also an important measures to reduce network losses and improve voltage quality. Therefore, the research of reactive power with distributed power optimization has become more and more important.Distributed generation technologies are becoming more and more popular due to their environment protection and no pollution.This paper analyzes the characteristics of distributed generation technologies and the impact on the grid voltage, loss and power quality. Then the paper introduces principles and research status of wind turbines, small hydro and photovoltaic which are representative to the distributed power. Through the analysis of the actual grid and mathematical models of wind turbines and small hydro, this paper introduces a wind turbine which is considered as a PV node and a small hydro which is regarded as a PQ node into a real regional power grid, and then conducts a flow calculation by using Newton Raphson method. At the end, this paper analyzes the influence of distributed power to the grid voltage, loss and power quality according to the experiment results.In quantum evolution algorithm, the individual takes the whole population as its neighborhood. Though fast in running, it is easy to trap into local minima when addressing the reactive power optimization problem. Aiming at the premature convergence of QEA, this paper proposes a novel NW small-world topology network model is introduced to construct the evolutionary environment of QEA. Through dynamical change of the neighborhood topology of each individual among population according to a novel random adding links, not only the diversity of evolution population can be guaranteed, but also its balance capability of global exploration is greatly improved. At the end, the proposed algorithm was applied to addressing the reactive power optimization problem in IEEE14-bus system and IEEE57-bus system. The experiment results show that the proposed NW small-world quantum evolutionary algorithm outperforms the standard QEA both in global search capability and convergence precision. At last, the proposed algorithm was applied to addressing the reactive power optimization problem in actual grid system with the distributed power.The experiment results show that NW-QEA algorithm has great advantages in the reactive power optimization and the distributed power has a great influence on the regional power grid, it can make the grid safely and economically.