中文摘要：

风电等新能源发电机组的大规模并网，对传统电力系统的安全稳定运行带来了新的问题。研究了一种含有风-火-储联合运行的混合电力系统，通过构建机组组合问题模型，利用情景树方法模拟风电出力的不确定性的随机特性，将混沌群粒子优化算法引入情景约简算法，改善随机模拟结果和提高最优解的搜寻能力。算例分析结果表明，得到的机组组合方案能够尽量多调度风电机组，降低火电机组的运行成本，适应节能减排工作需要。

英文摘要：

Large-scale grid-integration of new energy sources such as wind power generation and so on leads to new problems in secure and stable operation of traditional power grids. For a hybrid power grid containing thermal power plants, wind farms and energy storage equipments, by means of constructing a unit commitment model and the stochastic property of wind power output uncertainty is simulated by scenario tree. Leading chaos embedded particle swarm optimization （CEPSO） into scenario reduction algorithms （SRA） the results of stochastic simulation and the ability to search the optimal solution are improved. Taking a hybrid power system composed of a wind farm and a 10-machine system as simulation example, simulation results show that the obtained unit commitment scheme can dispatch as many wind power units as possible and the operational cost of thermal generation units can be reduced to suit to the demand of energy conservation and emission reduction.