计及源-荷不确定性的综合能源系统两阶段优化调度

Two-stage optimal scheduling of integrated energy system considering source-load uncertainty

“双碳”背景下,为实现清洁能源稳定消纳,降低能源机组碳排放,提高综合能源系统运行经济性,提出一种低碳综合能源系统两阶段优化调度策略。日前调度考虑综合需求响应平抑供需差异波动风险,基于条件风险价值理论优化供能方案,保障系统运行稳定性;日内供能通过构建低碳综合能源系统模型,引入碳捕集设备、储碳装置与电转气协同运行,进一步消纳清洁能源的同时,提升系统的低碳性和经济性。基于此,构建以综合成本和碳排放量最小为低碳经济运行目标的模型,利用max-min模糊算法得到折中最优解,通过设置不同场景,对比验证了所提方案的有效性。

Under the background of“dual carbon”,a two-stage optimal scheduling strategy for low-carbon integrated energy system is proposed to achieve stable consumption of clean energy,reduce carbon emission from energy units and improve the operation economy of integrated energy system.The day-ahead scheduling considers the integrated demand response to stabilize the fluctuation risk of supply and demand differences.And it optimizes the energy supply scheme based on the conditional value-at-risk theory to ensure the stabi-lity of system operation.By building the low-carbon integrated energy system model,the intra-day energy supply introduces carbon capture equipment and carbon storage device to operate collaboratively with power to gas process.It will further absorb clean energy while improving the low-carbon and economy of system.Based on this,the model with the minimum comprehensive cost and carbon emission as the low-carbon economic operation objective is constructed.And then,a compromise optimal solution is obtained by using the max-min fuzzy algorithm.Finally,the effectiveness of the proposed scheme is verified by setting and comparing different scenarios.