摘要
针对含源荷不确定性的微电网优化调度问题,提出了一种基于柔性行动器-竞争评判器(soft actor dueling critic,SADC)算法的微电网优化调度方法。首先,以微电网系统的运行成本最小化为优化目标,以系统的功率平衡、设备的运行特性等为约束条件,建立微电网优化调度模型。其次,采用竞争网络机制改进SAC算法的评判器结构,进而采用改进后的SADC算法求解含源荷不确定性的微电网优化调度模型。最后,基于微电网算例应用SADC算法确定优化调度策略,验证SADC算法的有效性与优越性。仿真结果表明,与现有的DQN、DDPG和SAC算法相比,SADC算法在运行成本上分别降低了19.75%、10.18%和3.59%,在微电网优化调度的鲁棒性方面表现更优。
To address the issue of the optimal scheduling of microgrids with source-load uncertainties,this paper proposes a microgrid optimal scheduling method based on the soft actor-dueling critic(SADC)algorithm.Firstly,the minimization of the operating cost of the microgrid system is taken as the optimization objective,and the power balance of the system,the operating characteristics of the equipment,etc.as the constraint conditions,a microgrid optimization scheduling model is established.Secondly,the dueling network mechanism is adopted to improve the critic structure of the SAC algorithm,and then the improved SADC algorithm is used to solve the microgrid optimization scheduling model with source-load uncertainty.Finally,based on the microgrid calculation examples,the SADC algorithm is applied to determine the optimization scheduling strategy,verifying the effectiveness and superiority of the SADC algorithm.The simulation results show that,compared with the existing DQN,DDPG and SAC algorithms,the SADC algorithm reduces the operating cost by 19.75%,10.18%and 3.59%respectively,and performs better in the robustness of microgrid optimization scheduling.
作者
鲍刚
周冉冉
袁豪
李勇
BAO Gang;ZHOU Ranran;YUAN Hao;LI Yong(College of Electricity and New Energy,China Three Gorges University,Yichang Hubei 443002,China;Hubei Provincial Key Laboratory of Operation and Control of Cascade Hydropower Station,China Three Gorges University,Yichang Hubei 443002,China)
出处
《湖北电力》
2025年第2期1-10,共10页
Hubei Electric Power
基金
国家自然科学基金资助项目(项目编号:62476153)。
