Design And Solution Of Wind-Natural Gas Complementary Power Generation And Natural Gas Dispatch Model

Wind is a kind of clean and renewable energy, and it has huge reserves. But wind is provided with a random, intermittent and uncontrollable characteristic which cause its output power to fluctuate greatly and this problem will bring bad influence to the stable operation of the power system when this wind power get into the grid. Building a complementary system with other kinds of power source is a solution of this problem. This complementary system can not only improve the quality and reliability of wind power, but also increase the utilization of wind resources and economic efficiency of the wind farm. Compared with the traditional thermal power, gas turbine generator can start easily, and it can also respond quickly to the fluctuations of the wind power.This thesis studies the complementary system model which combines wind-driven generators and gas turbine generators. This thesis also optimizes the operation of the complementary system and dispatching of natural gas.Firstly, a mathematical model of the complementary system is established. Considering the actual output capacity of the wind farm, a complementary power generation model with multiple light gas turbine generators is chosen, and its target is the minimum consumption of the natural gas. The output power of the complementary power generation model is designed as a constant, and the gas generation unit is used to supply the wind’s output power. Considering various constraints, the complementary system not only solves the problems of randomness and volatility in wind power generation, but also improves the efficiency of wind energy utilization and the quality of output power.Secondly, based on the output characteristics of the gas generation unit in the complementary system, a short-term natural gas dispatch model is designed, and its target is the minimum economic cost of compressors’operation and maintenance. The dispatch model use the flow and pressure control in output node and the pressure control in input node. According to the compressors’power characteristic and the constraints of each node, the natural gas dispatch is optimized.In this thesis, a particle swarm optimization algorithm with adaptive inertia weight is designed to solve the objective function of the complementary system and the gas dispatch model. Through the evaluation of the whole population and individual in the process of optimization, some new parameters are introduced to calculate the inertia weight. Compared with the standard particle swarm optimization algorithm, this new algorithm shows better speed and precision in common test functions.Based on the above research, it is proved that the wind-natural gas complementary generation system can solve the randomness and volatility of wind power generation, and input more ideal and reliable electric energy to the grid. Then, a natural gas dispatch optimization scheme based on the complementary power generation model is proposed.