期刊文献+

考虑设备变工况特性的园区综合能源系统双层优化

Two-level optimization for a community integrated energy system considering the off-design condition of equipment
下载PDF
导出
摘要 园区综合能源系统通过整合多种能源设备为用户提供可靠的能量供应,但设备的变工况特性给容量配置的合理性及调度方案的准确性带来了严峻挑战。为此,提出了一种考虑变工况特性的综合能源系统容量与调度双层优化方法。首先,采用改进的核密度估计法构建更准确的能源供需场景。其次,基于极致梯度提升算法,建立设备效率修正模型以表征设备的变工况特性,并考虑温度对设备寿命的影响,将老化成本纳入目标函数进行优化。然后,提出最优负载率跟踪策略,通过解耦调度过程中输出、效率和负载率三者的关系,主动调节能量转换设备的输出比例,实现系统的柔性供能。最后,通过仿真结果表明,所提方法考虑了设备的变工况特性,不仅提高了设备模型的准确度,还增强了配置方案的科学性和调度方案的经济性。 A community integrated energy system integrates various types of energy source to provide a reliable energy supply.However,the off-design condition characteristics of the equipment pose serious challenges to the rationality of capacity configuration and the accuracy of scheduling schemes.For this reason,a two-layer optimization method for capacity and scheduling of an integrated energy system considering off-design condition characteristics is proposed.First,an improved kernel density estimation method is used to construct more accurate energy supply and demand scenarios.Secondly,based on an extreme gradient boosting algorithm,an equipment efficiency correction model is established to characterize the off-design condition features of the equipment.And considering the impact of temperature on equipment life,aging costs are incorporated into the objective function for optimization.Then,by proposing an optimal load rate tracking strategy,this paper decouples the relationships among output,efficiency,and load rate during the scheduling process.By actively adjusting the output ratio of energy conversion devices,a flexible energy supply system is achieved.Finally,simulation results show that the proposed method takes into account the off-design condition characteristics of the equipment,not only improving the accuracy of the equipment model but also enhancing the scientific nature of the configuration plan and the economic aspect of the scheduling scheme.
作者 杨欢红 赵峰 黄文焘 李昊 严灵杰 王宇轩 YANG Huanhong;ZHAO Feng;HUANG Wentao;LI Hao;YAN Lingjie;WANG Yuxuan(School of Electric Power Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Key Laboratory of Control of Power Transmission and Conversion(Shanghai Jiao Tong University),Ministry of Education,Shanghai 200240,China)
出处 《电力系统保护与控制》 EI CSCD 北大核心 2024年第17期115-127,共13页 Power System Protection and Control
基金 国家自然科学基金项目资助(52177100) 电力传输与功率变换控制教育部重点实验室开放课题(2022AA05)。
关键词 变工况特性 极致梯度提升 源荷不确定性 优化调度 园区综合能源系统 off-design condition extreme gradient boosting source-load uncertainty optimal scheduling community integrated energy system
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部