计及源荷双侧不确定性的全可再生能源系统日前经济调度

建立一种以太阳能、风能、生物质能为一次能源，并满足电、热、冷负荷需求的全可再生能源系统模型。充分考虑全可再生能源系统源荷双侧不确定性，建立基于两阶段鲁棒优化的日前经济调度模型，并采用列约束生成（C&CG）算法求解。仿真算例分析表明：通过发挥可再生能源系统多能互补的特性，可以实现可再生能源完全消纳，同时，通过调整不确定性调节参数，可以有效改善鲁棒优化的保守性，从而在保障安全稳定运行的前提下，最大程度提升能源系统运行经济性。

Economic Dispatch of Fully Renewable Energy System Considering Uncertainty of both Energy Source and Load

This paper established a fully renewable energy system which takes solar energy, wind energy and biomass energy as primary energy and meets the demand of electricity, heat and cooling loads. Considering the uncertainty of both energy source and load, a day-ahead economic dispatch model based on two-stage robust optimization was built and solved by column constraint generation (C & CG) algorithm. The simulation results show that renewable energy can be fully consumed by giving full play to its multi energy complementary characteristics. At the same time, the conservatism of robust optimization can be effectively improved by adjusting the uncertainty adjustment parameters, so as to improve the operation economy of the energy system and ensure safe and stable operation.