
1. 国网安徽省电力有限公司滁州供电公司
2. 东南大学
Published:2026
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聂小涛, 赵蒙蒙, 葛春雨, et al. 计及隐私保护的园区热负荷分布式调度方法[J]. 2026, 43(3): 14-24.
聂小涛, 赵蒙蒙, 葛春雨, et al. 计及隐私保护的园区热负荷分布式调度方法[J]. 2026, 43(3): 14-24. DOI: 10.19421/j.cnki.1006-6357.2026.03.002.
园区热负荷作为电力系统需求侧重要的柔性调节资源,能够为系统运行调控提供显著的灵活性支撑,对保障电力系统安全经济运行具有重要价值。在实际工程应用中,园区热负荷呈现广域分散分布、数量庞大、单体容量小的特征,受限于电力系统的计算与通信资源约束,难以实现对单个负荷的精细化建模与直接调控。为此,工程实践中普遍采用分层调控架构:由热负荷聚合商作为配电网运营商与园区终端用户间的纽带,通过聚合管理辖区内的园区热负荷参与系统调控。然而,在热负荷聚合商参与系统调度过程中,热负荷聚合商的模型参数等商业机密面临暴露威胁。这些安全隐患可能给园区热负荷用户、热负荷聚合商造成经济、安全等多方面的威胁。针对上述问题,聚焦园区热负荷聚合调控中的隐私计算关键技术研究,基于交替方向乘子法构建了热负荷聚合商参与的调度模型的分布式求解算法,并引入了基于噪声的数据扰动机制与幅值衰减机制,兼顾算法隐私性与计算收敛性。文章通过算例分析证明了所提的隐私保护的园区热负荷分布式调度方法具有良好的收敛性、最优性及计算效率。
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