考虑风光不确定性的含储能CCHP微网市场环境下两阶段鲁棒优化运行策略

冷热电联产(combined cooling, heating and power,CCHP)微网系统能够实现能源的梯级利用,在提高能源利用效率的同时可以促进可再生能源消纳。文章综合考虑CCHP微网在电力市场环境下运行的特殊性和风光可再生能源出力的不确定性,建立两阶段鲁棒优化模型,提出了一种计及储电和储热综合储能系统的CCHP微网调度策略。算例结果表明考虑不确定性的鲁棒优化运行策略可以有效降低可再生能源出力偏差,提高CCHP微网运行成本的风险,并且可再生能源的预测与实际出力偏差越大,效果越明显。

Two-Stage Robust Optimization of CCHP Microgrid with Consideration of Wind Power and PV Uncertainty andStorage System

Microgrid with combined cooling, heating and power (CCHP) can realize the cascade utilization of energy, improve the efficiency of energy utilization and promote the consumption of renewable energy. In this paper, considering the particularity of CCHP microgrid operating in the power market and the uncertainty of wind and solar power output, a two-stage robust optimization model is established, which considers the integrated energy storage system of electricity and heat storage. The simulation results show that the robust optimization strategy considering uncertainty can effectively reduce the output deviation of renewable energy and increase the risk of CCHP microgrid operation cost, and the larger the output deviation of renewable energy, the more obvious the effect.