针对含混合储能的综合能源系统经济调度问题,提出一种基于光伏区间预测的综合能源系统混合储能双层优化调度方法。上层为基于数据优化和深度学习的超短期光伏功率区间预测方法和混合储能容量配置,通过对光伏功率进行准确预测和分解重构,形成储能容量边界,下层为考虑混合储能容量配置的综合能源系统优化调度,以运行成本最小为目标,在上层容量边界的基础上,确定综合能源系统的运行范围,对容量边界进行优化,校正后反馈给上层,经多次迭代,得出最优结果。算例结果表明,该方法可有效降低系统运行成本,提高新能源发电消纳量,减少负荷功率损失。
Abstract
A Bi-level optimization scheduling method for mixed energy storage in integrated energy systems based on photovoltaic interval prediction is proposed to address the economic dispatch problem of an integrated energy system with hybrid energy storage. The upper layer includes a data optimization and deep learning based ultra short term photovoltaic power interval prediction method and a hybrid energy storage capacity configuration. By accurately predicting and decomposing the photovoltaic power,the energy storage capacity boundary is formed. The lower layer performs an integrated energy system optimization scheduling considering the configuration of hybrid energy storage capacity,with the goal of minimizing operating costs. Based on the upper layer capacity boundary,the operating range of the integrated energy system is determined,and the capacity boundary is optimized,corrected,and fed back to the upper layer. After multiple iterations,the optimal result is obtained. The calculation results show that this method can effectively reduce system operating costs,increase the uilization of renewable energy generation,and reduce load shedding.
关键词
压缩空气储能 /
储能技术 /
需求响应 /
综合能源系统 /
超短期区间预测 /
混合储能 /
双层优化调度
Key words
compressed air energy storage /
energy storage /
demand response /
integrated energy system /
ultra-short-term interval prediction /
hybrid energy storage /
bi-level optimization scheduling
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