Electric Power Grid Capability To Accommodate Wind Power Research Based On Balmorel Model

With the rapid development of wind power generation technology, the percentage of wind power in electric power system becomes larger and larger. Wind power has randomness, intermittence and counter-peaking characteristics. How to accommodate the maximum wind power becomes the main limiting factor of large-scale wind power grid integration. This thesis researches the Balmorel model based on linear programming algorithm and mixed integer programming algorithm, and then uses the model to study the wind power accommodation. The main contents are the following three aspects:(1) Introduce Balmorel-model’s simulation platform-GAMS, principles of mathematics and solving method-CPLEX. Model the objective function, equality constrains such as electric power balance, and some inequality constrains such as thermal power unit constrains, hydro power unit constrains, wind power unit constrains, transmission line constrains, pumped storage unit constrains and so on. According to the actual situation of China power grid, the Balmorel model was modified and secondary development. Heat supply market and emission tax are weakened, heat supply module is removed from the Balmorel model, reserve capacity is added into the model.(2) Introduce the theory of wind power accommodation in detail. Timing production simulation is used to analyze grid capability to accommodate wind power. The BB1model and BB2model are studied and used in an actual power grid system of south China. Minimum year costs optimization model BB1is used to simulate the grid capability to accommodate wind power and the wind power abandon in the current year2010,2015and2020. Adding transmission line, gas turbine power plant, decreasing the minimum unit output and adding pumped storage are analyzed to increase the grid capability to accommodate wind power.(3) From the point of DSM, peak-valley price is studied to analyze wind power accommodation. Minimum week costs optimization model BB3is used to analyze the grid capability to accommodate wind power based on an actual power system in Northeast China. Basic scenario, pumped-storage scenario and peak-valley price scenario are contrastively analyzed to study how to increase the grid capability to accommodate wind power based on DSM.