浙江电力

2026, v.45;No.361(05) 59-68

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基于等效投影理论的多园区电氢综合能源系统协同调度
Coordinated scheduling of multi-park integrated electricity-hydrogen systems based on equivalent projection theory

关苏敏,谭鋆,谭洪,杨奥,翁汉琍
GUAN Sumin,TAN Yun,TAN Hong,YANG Ao,WENG Hanli

摘要(Abstract):

针对多园区电氢综合能源系统在协同调度过程中存在的求解效率低、各园区主体分布式求解精度不足等问题,提出了一种基于等效投影理论的多园区电氢综合能源系统协同优化调度方法。首先,通过整合多种能流建立了考虑燃气掺氢的电氢综合能源系统调度模型,并提出了一种考虑氢能交互的多综合能源系统协同调度框架。其次,基于等效投影理论,将两阶段鲁棒模型等效为混合整数规划模型。随后利用对偶分解算法导出多综合能源系统的分布式求解结果,保证了收敛性和最优性。最后,算例分析表明,在园区级系统上所提等效投影法的计算效率比传统的两阶段鲁棒优化方法有了明显的提升,且所提对偶分解算法在非凸问题中表现出良好的收敛性与近似最优性。
To address the low solution efficiency and insufficient solution accuracy of distributed park entities in the coordinated scheduling of multi-park integrated electricity-hydrogen systems(IEHSs), a coordinated optimal scheduling method based on equivalent projection theory is proposed. First, with multiple energy carriers integrated, a scheduling model for an electricity-hydrogen integrated system considering hydrogen blending into natural gas is established, and a coordinated scheduling framework for multiple integrated energy systems with hydrogen energy interactions is developed. Second, based on equivalent projection theory, the two-stage robust optimization model is transformed into an equivalent mixed-integer programming(MIP) model. A dual decomposition algorithm is then employed to derive distributed solutions for the multiple integrated energy systems, ensuring convergence and optimality. Finally, case studies demonstrate that, at the park level, the proposed equivalent projection approach significantly improves computational efficiency compared with conventional two-stage robust optimization methods, while the proposed dual decomposition algorithm exhibits favorable convergence behavior and near-optimal performance for nonconvex problems.

关键词(KeyWords): 园区综合能源系统;燃气掺氢;电氢耦合;等效投影;优化运行
park-level integrated energy system;hydrogen blending into natural gas;electricity-hydrogen coupling;equivalent projection;optimal operation

Abstract:

Keywords:

基金项目(Foundation): 湖北省自然科学基金计划项目(2024AFD350)

作者(Author): 关苏敏,谭鋆,谭洪,杨奥,翁汉琍
GUAN Sumin,TAN Yun,TAN Hong,YANG Ao,WENG Hanli

DOI: 10.19585/j.zjdl.202605006

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