Energy-Storage-Based Intelligent Frequency Control of Microgrid With Stochastic Model Uncertainties
Energy-Storage-Based Intelligent Frequency Control of Microgrid With Stochastic Model Uncertainties
复制标题
随机模型不确定性下基于储能的微电网智能频率控制
DOI：
10.1109/tsg.2019.2942770
复制
发表时间：
2020-03
影响因子：
9.6
通讯作者：
C. Mu;Yong Zhang;H. Jia;Haibo He
中科院分区：
文献类型：
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作者：
C. Mu;Yong Zhang;H. Jia;Haibo He
随着可再生能源世代的比例增加，由于随机发电的世代和动态不确定性，微电网的频率控制变得更具挑战性。储能系统（ESS）通常用于微电网，因为它可以为存储或释放功率能量提供灵活的选项。在本文中，为频率稳定性开发了完全基于自适应动态编程（ADP）的智能控制策略，该策略旨在调整微型涡轮和ESS的功率输出，当Photovoltaic（PV）发电连接到该电源时微电网。此外，考虑到一天中光伏电力和负载需求的变化，通过拟议的法规策略实现了PV功率的全部利用以及能源存储的回收。数值仿真结果通过随机模型不确定性验证了基于能量的智能频率控制策略，以及基于PID，LQR和模糊逻辑控制的比较研究说明了拟议的控制策略的优势。
With the increasing proportion of renewable power generations, the frequency control of microgrid becomes more challenging due to stochastic power generations and dynamic uncertainties. The energy storage system (ESS) is usually used in microgrid since it can provide flexible options to store or release power energy. In this paper, an intelligent control strategy completely based on the adaptive dynamic programming (ADP) is developed for the frequency stability, which is designed to adjust the power outputs of micro-turbine and ESS when photovoltaic (PV) power generation is connected into the microgrid. Further, considering the changes of PV power and load demand in a day, the full utilization of PV power and the recycling of energy storage are realized through the proposed regulation strategy. Numerical simulation results validate the energy-storage-based intelligent frequency control strategy for the microgird with stochastic model uncertainties, and comparative studies based on PID, LQR and fuzzy logic control illustrate the superiority of the proposed control strategy.