Reserve Capacity Optimization Of The Power System With Large-Scale Wind Farm

In recent years, wind energy as a renewable clean energy, its development anduse has been one of the important means to ease the energy crisis and reduceenvironmental pollution. With the increasing installed capacity and networkcapacity of wind farms, the impact of changes in its output randomness andvolatility of the existing power systems have become increasingly prominent. Inorder to maintain the power system frequency stability, we need to allocatesufficient reserve capacity. So in this paper, the reserve capacity optimization ofpower systems with large-scale wind farms have been studied, and for the issuesthat the increased demand of reserve capacity brought about by wind power, areserve capacity optimization model of interconnected power system with windfarms has been proposed.Firstly, for the uncertain factors caused by the wind farm grid, a reservecapacity optimization models of power system with wind farms was establishedbased on chance constrained programming. This optimization model considered thecase of large-scale wind farms connected to the grid, modeled the fault outage ofgenerators, loads and wind farm output forecast error and other uncertainties, andused the probabilistic of safety and stable operation of the system as a reservecapacity constraints, then used genetic algorithm based on stochastic simulationMonte-Carlo as a solution algorithm for the model.Then for the case of the reserve capacity requirements increased whenlarge-scale wind power connected to power system, this paper proposed a reservecapacity optimization model of interconnected power system with wind farms. forthe reserve capacity characteristics of each subsystem which constitutedinterconnected power systems, the subsystems was divided into rich reservecapacity subsystems and lack reserve capacity subsystems, then for differentreserve capacity characteristics of each subsystem, established their chanceconstrained programming constraints based on security and stability. This modelfully considered the various uncertainties impact of reserve capacity configuration o,and quantified the sharing reserve capacity and the calling procedure.Finally, this paper used the IEEE Standard Test System as examples andMATLAB programming to realized the algorithms, the feasibility of the above twomodels are verified. The example analysis shows that: When the large-scale windfarms connected to the grid, reserve capacity demand increases, the degree ofincreases is much larger than the same scale load reserve needs; through the reservecapacity optimization of interconnected power system, to ensure the stability of the system security, the subsystems with rich reserve capacity could support reservecapacity to subsystems with wind farms which was lack of reserve capacity; thismodel effectively reduced the total system reserve capacity needs, as well as toprovide a configuration problem new ideas to solve the reserve capacity allocationof power system with large-scale wind farms.