Research On Optimal Scheduling For Wind And Hydro Power System

With the increasing seriousness of global warming and air pollution, renewable energy more and more get the attention of the countries. In most of the current power system, Hydropower and wind power are the two most common use of renewable energy, also are the most mature and reach commercial-scale renewable energy. In recent years, with the rapid growth of the wind power installed capacity, wind power has become an important and complementary distributed energy. Wind power has played an important role in the energy- economic- environmental. Wind energy is clean, easy to get, high-capacity energy resource, which can satisfy the needs of today’s society. However, the uncertainty of wind power and the wind power prediction uncertainty pose challenges for its integration into electricity networks with conventional generators. Hydropower is a low cost, flexible adjustment of energy, but its capacity is limited to the reservoir structure and topography and other factors. Wind power and hydropower have a good complementary in the season and technical characteristics. The hydro power station can provide capacity supporting to the wind farm and simultaneously the wind farm can provide energy supporting to the hydro power station. Therefore, in the future power system, wind power and hydropower coordinate operation system is bound to produce stable operation and economic significance.Based on the impact of wind power integration into grid, this paper focuses on the complementary nature of wind power and hydropower, discusses the reserve optimization of wind power integrated systems, wind power and hydropower coordinate operation system and dispatching software system. The main contributions of this dissertation were summarized as follows.(1) A large amount of literate related to the basic knowledge of wind power and hydroelectric power has been studied. The dissertation uses the two-parameter Weibull distribution to describe the probabilistic characteristic of natural wind speed, and obtain the distribution of wind power. For the current actual power system operating conditions, conventional storage hydropower power plants model was proposed. From the technical characteristics and seasonal characteristic analysis of wind power and hydropower complementarity, this provides a theoretical basis for follow-up.(2) Based on the reserve optimization of wind power integrated systems, the probabilistic method and the model of reserve optimization have been proposed. This model has strong versatility. Based on the impact of wind power integration into grid on reserve and hydroelectric generating regulatory, the AGC reserve capacity optimization model was proposed, by using nonlinear programming method to solve the model, the validity of the model is verified.(3) Based on the problem of wind power and hydro active power collaborative optimization, a multi-objective(energy, economy and environment) wind- hydro active power dispatching model is established. By analyzing the basic characteristics of particle swarm algorithm, and using the improved particle swarm algorithm implementation example of the model simulation, the effectiveness and feasibility of the model was verified.(4)According to the model of wind power and hydropower coordinate operation system, in this dissertation a scheme for coordinating wind power and hydro power is presented by using PMUs to measure and control the state of wind and hydro power plants. Finally, dispatching simulation software has been implemented by Qt programming platform.