Volume 16, Issue 4 (December 2020)                   IJEEE 2020, 16(4): 536-550 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Shayeghi H, Younesi A. Enhancement of Voltage/Frequency Stability in an Autonomous Micro Energy Grid with Penetration of Wind Energy Using a Parallel Fuzzy Mechanism. IJEEE 2020; 16 (4) :536-550
URL: http://ijeee.iust.ac.ir/article-1-1508-en.html
Enhancement of Voltage/Frequency Stability in an Autonomous Micro Energy Grid with Penetration of Wind Energy Using a Parallel Fuzzy Mechanism
H. Shayeghi , A. Younesi
Abstract:   (2891 Views)
The main objective of this paper is to model and optimize the parallel and relatively complex FuzzyP+FuzzyI+FuzzyD (FP+FI+FD) controller for simultaneous control of the voltage and frequency of a micro-grid in the islanded mode. The FP+FI+FD controller has three parallel branches, each of which has a specific task. Finally, as its name suggests, the final output of the controller is derived from the algebraic summation of the outputs of these three branches. Combining the basic features of a simple PID controller with fuzzy logic that leads to an adaptive control mechanism, is an inherent characteristic of the FP+FI+FD controller. This paper attempts to determine the optimal control gains and Fuzzy membership functions of the FP+FI+FD controller using an improved Salp swarm algorithm (ISSA) to achieve its optimal dynamic response. The time-domain simulations are carried out in order to prove the superb dynamic response of the proposed FP+FI+FD controller compared to the PID control methods. In addition, a multi-input-multi-output (MIMO) stability analysis is performed to ensure the robust control characteristic of the proposed parallel fuzzy controller.
Keywords: Fuzzy Logic , Micro Energy Grid , Voltage Control , Frequency Control , MIMO Stability
Full-Text [PDF 2000 kb]   (1236 Downloads)    
Type of Study: Research Paper | Subject: Fuzzy Systems
Received: 2019/05/25 | Revised: 2019/11/13 | Accepted: 2019/11/29
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.