Implementation of Linear Quadratic Regulator in an Isolated Microgrid System

被引：1

作者：

Sanki, Prasun ^{[1
]}

Basu, Mousumi ^{[2
]}

Pal, Partha Sarathi ^{[1
]}

Das, Debapriya ^{[3
]}

机构：

[1] Netaji Subhash Engn Coll, Dept Elect Engn, Kolkata, India

[2] Jadavpur Univ, Power Engn Dept, Kolkata, India

[3] Indian Inst Technol, Dept Elect Engn, Kharagpur, W Bengal, India

来源：

PROCEEDINGS OF 3RD IEEE CONFERENCE ON VLSI DEVICE, CIRCUIT AND SYSTEM (IEEE VLSI DCS 2022) | 2022年

关键词：

Automatic generation control (AGC); electric vehicle (EV); islanded microgrid; linear quadratic regulator (LQR); optimal state feed-back control; AUTOMATIC-GENERATION CONTROL; FREQUENCY CONTROL; POWER;

D O I：

10.1109/VLSIDCS53788.2022.9811439

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper elaborates a linear-quadratic-regulator (LQR) technique for an isolated microgrid in presence of electric vehicle (EV) and renewable power system (RPS) participation. Generally, in control theory the state feedback control can place the poles in the desired locations in order to improve stability but many a time, it is observed that the steady state error is appropriately not achieved as well as the overall cost is compromised. In this connection, LQR control theory helps to obtain the feedback gain optimally using quadratic cost function. The weight adjustment matrices in LQR control theory requires to adjust in order to achieve desired system response. Hence, the weight matrices are adjusted to achieve optimal operating condition based on the proposed flow chart. Numerous, test cases are carried out considering different system configurations to validate performance and efficacy of the controller under MATLAB / Simulink environment.

引用

页码：104 / 109

页数：6

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