摘要
电/氢混合储能对离网风光发电系统的功率调节能力起到不可忽视的作用,但未充分考虑能量管理的综合性能。针对上述问题,提出了一种基于动态优化周期的改进能量管理策略。首先,以系统运行成本最小为目标进行日前优化。然后,在日内滚动优化的过程中自适应调节权重因子,合理协调短期功率平抑和长期状态优化,并对滚动优化周期进行动态调节,在减少冗余调节的同时,提升控制器的实时响应能力。最后,在实时校正层分别使用逐次变分模态分解和双层模糊控制对混合储能功率进行初次分配和二次分配,充分利用混合储能的运行特性并提升系统鲁棒性。算例分析表明,与传统策略相比,改进能量管理策略可使系统运行成本、能量失衡率和计算时间分别降低38.3%、63.1%和57.9%,提高了系统能量管理的经济性、可靠性和实时性。
Electricity/hydrogen hybrid energy storage plays an important role in the power regulation capability of off-grid wind and photovoltaic power generation systems,but the comprehensive performance of energy management is not fully considered.Given the problems above,an improved energy management strategy based on dynamic optimization cycles is proposed.Firstly,the dayahead optimization is carried out with the goal of minimizing the system operation cost.Then,the weight factor is adaptively adjusted in the process of intraday rolling optimization to reasonably coordinate the short-term power stabilization and long-term state optimization,and the rolling optimization cycle is dynamically adjusted to improve the real-time response ability of the controller and reduce redundant adjustment.Finally,in the real-time correction layer,the successive variational mode decomposition and the double-layer fuzzy control are used to perform the initial distribution and secondary distribution of the hybrid energy storage power respectively,so as to make full use of the operation characteristics of the hybrid energy storage and improve the robustness of the system.The case analysis shows that compared with the traditional strategy,the improved energy management strategy can reduce the system operation cost,energy imbalance rate and calculation time by 38.3%,63.1%and 57.9%respectively,which improves the economy,reliability and real-time performance of the system energy management.
作者
王辰
汤奕
郑晨一
WANG Chen;TANG Yi;ZHENG Chenyi(School of Electrical Engineering,Southeast University,Nanjing 210096,China;College of Information Science and Technology&Artificial Intelligence,Nanjing Forestry University,Nanjing 210037,China)
出处
《电力系统自动化》
北大核心
2025年第2期142-153,共12页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(52377085,52261145704)。
关键词
电/氢混合储能
能量管理
自适应权重
动态优化周期
逐次变分模态分解
双层模糊控制
electricity/hydrogen hybrid energy storage
energy management
adaptive weight
dynamic optimization cycle
successive variational mode decomposition
double-layer fuzzy control
