Standardized Communication-Based Diverse Structure Model Predictive Controller With Demand Response for Frequency Regulation in Microgrids
Interconnected microgrids offer numerous benefits, such as increased power system reliability, security, and optimized operation. To maintain the integrity of power system dynamics in two area interconnected microgrids (TAIµG), load frequency control in combination with demand response (DR) strategi...
Saved in:
Published in | IEEE transactions on industry applications Vol. 60; no. 2; pp. 3554 - 3567 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.03.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Interconnected microgrids offer numerous benefits, such as increased power system reliability, security, and optimized operation. To maintain the integrity of power system dynamics in two area interconnected microgrids (TAIµG), load frequency control in combination with demand response (DR) strategies have been studied in the literature. However, the effectiveness of the control scheme depends on the design and tuning of a robust controller. To address this issue, this article proposes a diverse structure model predictive controller with demand response (DR) scheme tuned using a novel quasi-oppositional African vulture's optimization technique (QOAVOT) to achieve faster convergence rates in a highly dynamic TAIµG system. As TAIµGs encompass both physical electrical systems and cyber systems spread over a large geographical area, communication delays due to control and measurement signal exchanges significantly impact the dynamic performance of the control scheme. Previous works have generally ignored these communication delays or considered them as a constant computed through estimation models. To fill this research gap, this article proposes an IEC 61850 standard based communication model for implementing the proposed control scheme to compute realistic communication delays in TAIµGs. For this, an integrated network emulation platform, comprising emulated IEC 61850 communication models and a network simulator, is developed. Detailed performance analysis of the proposed control scheme under different communication technologies is presented, and a strategic delay compensator is analyzed to reduce the impact of communication delay. Furthermore, stability analysis of the proposed controller is carried incorporating communication delays. |
---|---|
ISSN: | 0093-9994 1939-9367 |
DOI: | 10.1109/TIA.2023.3332836 |