Multi-objective Control Strategy for Islanded Microgrid Based on Soft Actor Critic Algorithm

Jin-xing Xiao, Bingyan Xu, Ying Ye, Jun Yang, Yonghui Li, Peixiao Fan
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Abstract

Aiming at the frequency instability and the increase of control cost caused by the uncertainty of the island microgrid, this paper proposes a multi-objective control strategy for the island microgrid based on the Soft Actor Critic (SAC) algorithm. Firstly, considering the influence of the output distribution of micro gas turbines on the control cost, a multi-objective control model that coordinates control cost and frequency stability is constructed. Secondly, in order to cope with the sparse reward task of multi-objective control, this paper takes the frequency deviation and control cost as the state set, takes the unit output as the action set, and designs the corresponding reward function, thus completing the process design of the multi-objective control strategy. Finally, the calculation example shows that the SAC controller can effectively reduce the control cost on the premise of ensuring the frequency regulation requirements of the microgrid, and the comprehensive control effect is far superior to traditional control methods such as PI control and fuzzy control.
基于软Actor评价算法的孤岛微电网多目标控制策略
针对海岛微电网不确定性带来的频率不稳定性和控制成本的增加,提出了一种基于软行为批评家(SAC)算法的海岛微电网多目标控制策略。首先,考虑微型燃气轮机出力分布对控制成本的影响,构建了控制成本与频率稳定性相协调的多目标控制模型;其次,为了应对多目标控制的稀疏奖励任务,本文以频率偏差和控制代价为状态集,以单位输出为动作集,设计相应的奖励函数,从而完成多目标控制策略的过程设计。最后,计算实例表明,SAC控制器可以在保证微网频率调节要求的前提下有效降低控制成本,综合控制效果远优于PI控制、模糊控制等传统控制方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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