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Load frequency control of power system considering electric Vehicles’ aggregator with communication delay

新闻聚合器 频率偏差 超调(微波通信) 电力系统 自动发电控制 自动频率控制 沉降时间 控制(管理) 控制器(灌溉) 计算机科学 功率控制 功率(物理) 控制理论(社会学) 控制工程 工程类 电信 阶跃响应 物理 生物 量子力学 操作系统 人工智能 农学
作者
Santosh Kumar Tripathi,Vijay P. Singh,Nand Kishor,Amritanshu Pandey
出处
期刊:International Journal of Electrical Power & Energy Systems [Elsevier BV]
卷期号:145: 108697-108697 被引量:48
标识
DOI:10.1016/j.ijepes.2022.108697
摘要

• Presents load frequency control problem in smart grid environment with communication properties. • Includes participation of electric vehicle aggregator with communication delay towards the active power imbalance. • Applies event triggered control to keep minimum frequency deviation against variations/disturbances in the system. The power from wind generation is intermittent in nature; which may cause a significant frequency deviation whenever, load frequency control (LFC) capacity is unable to recover the balance between generation and the required demand. Therefore, electric vehicle (EV) is another option owing to its fast dynamics response to compensate for the real power imbalance in each area, wherein LFC capacity is insufficient. This paper presents a control scheme based on event-triggered control (ETC) to minimize frequency deviation in each area.. The performance of proposed control scheme is demonstrated in single-area, multi-area power system, and with integrated wind power, according to real wind speed dynamics. Additionally, different amount of EVs integration and communication properties are simulated in study. Also, from the attacker’s perspective changing the EVs participation and sensitivity analysis with changes in parameters are analyzed. The effectiveness of the proposed study is compared with a recently reported techniques for LFC problem. The comparison suggests reduced overshoot/under shoot and settling time of frequency deviation. Additionally, the controller action of the proposed method uses different amount of thresholds of communication transmission which not only reduces the computation cost and communication burden, but also maintains minimum control effort.
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