考虑可再生能源不确定性的热-电耦合微能源系统多目标鲁棒规划方法

由于可再生能源出力具有高度随机性和间歇性，其大规模并网会严重影响电力系统的安全稳定运行。为促进可再生能源消纳，可通过大力发展热-电耦合微能源系统解决此问题。为此，提出一种考虑风电不确定性的热-电耦合微能源系统多目标鲁棒规划方法。以投资运行成本最小及系统峰谷波动最小为目标，构建热-电耦合微型综合能源系统多目标鲁棒规划模型。采用NSGA-II和TOPSIS相结合的求解算法实现多目标问题求解。仿真结果表明，该方法可以提高风电利用率和系统经济性，对于工程应用有一定的参考价值。

A Multi-objective Robust Planning Method for Thermal-Electrical CouplingMicro-energy System Considering the Uncertainty of Renewable Energy

Due to the high randomness and intermittency of renewable energy, the large-scale connection of renewable energy to the power grid will seriously affect the security and stability of the power system. This problem can be solved by developing thermoelectrical coupling micro-energy systems. A multi-objective robust planning method is therefore proposed for thermo-electrical coupling micro-energy system with consideration of wind power uncertainty. With the minimum investment & operation cost and minimum system peak-valley fluctuation as the goal, a multi-objective robust planning model is established for thermo-electrical coupling micro integrated energy system. The multi-objective problem is solved using the combined NSGA-Ⅱ and TOPSIS algorithm. The simulation results show that the proposed method can improve the utilization rate of wind power and increase the system economy, and has a certain value for engineering applications.