周从亨,高凌霄

• 1:上海电力大学

摘要(Abstract)：

【目的】为实现“双碳”战略目标，综合利用各种能源已成为必然的选择。近年来，研究方向已从单一的多能源系统(multi-energy system, MES)转向多个MES互联协同优化。由于互联系统的复杂性和不确定性，传统的优化方法已经不能满足隐私保护、灵活性和开放性的要求。为解决该问题，提出了一种基于双层两阶段优化的多能源系统调度策略。【方法】在下层，MES通过求解成本最小化问题，自主进行决策和管理。同时，采用滚动优化方法来处理负荷和可再生能源的随机性问题。此外，还提出了一种松弛存储互斥约束的方式，使目标函数成为凸函数，便于求解计算。在上层，建立了一个协调器，以最小化总成本的方式对互连的多能源系统进行协同优化，同时避免变压器过载。并且设置了3个案例对所提方法进行验证。【结果】结果显示：在案例1中，所提方法与次梯度的滚动交互控制方法的总成本相近，但前者迭代次数远少于后者；在案例2中，通过设定三种模式，验证了所提方法最高能100%消纳新能源，避免产生拥塞，而且还能综合利用多种能源之间的互补性以降低总运行成本；案例3表明松弛存储互斥约束后并不会出现违反约束的情况。【结论】结果表明：该策略能保证MES的信息隐私、处理负荷与新能源出力的波动性，而且还具有良好的准确性和弹性。该方法能将自主优化与协同优化相结合，提高了整个系统的运行效率，为实现多能源系统的优化调度提供了新的方法和理论支持。

关键词(KeyWords)： 多能源系统;双层调度;两阶段优化;自主优化;协同优化;松弛约束;影响因素;分布式能源优化调度

Abstract:

Keywords:

基金项目(Foundation): 上海市科委项目(18DZ1203200);; 国家自然科学基金项目(52207121)

作者(Author): 周从亨,高凌霄

DOI: 10.13928/j.cnki.wrahe.2023.11.002

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