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A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks

Seyed Amir Alavi, Kamyar Mehran, Yang Hao, Ardavan Rahimian, Hamed Mirsaeedi, Vahid Vahidinasab

TL;DR

The proposed control and estimation strategy is validated via the simulations of a dc microgrid composed of renewable energy sources and the results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.

Abstract

This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for DC microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage (ES) systems. The locally-installed distributed controllers are utilised to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter (KCF) to estimate the state of the DC microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks (WSNs). The performance of the proposed control and estimation strategy is validated via the simulations of a DC microgrid composed of renewable energy sources (RESs). The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks

TL;DR

The proposed control and estimation strategy is validated via the simulations of a dc microgrid composed of renewable energy sources and the results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.

Abstract

This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for DC microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage (ES) systems. The locally-installed distributed controllers are utilised to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter (KCF) to estimate the state of the DC microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks (WSNs). The performance of the proposed control and estimation strategy is validated via the simulations of a DC microgrid composed of renewable energy sources (RESs). The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.

Paper Structure

This paper contains 16 sections, 21 equations, 12 figures, 7 tables.

Table of Contents

  1. Introduction
  2. DC Microgrid Model Analysis
  3. Communication Models for Microgrids
  4. Distributed Control Strategy Analysis
  5. Distributed Average Consensus Protocol
  6. Event-Based Kalman Filter Design
  7. Global Dynamics and Stability Analysis
  8. Stability and Steady-State Analysis
  9. Results and Discussion
  10. DC Microgrid Configuration
  11. Simulation Scenario
  12. Islanded Operation With Load Switching, 0 to 10 min
  13. Grid Connected Operation With Rectifier Providing Load Balancing, 10 to 40 min
  14. Grid Connected Operation With Main Grid Providing ES Charging, 40 to 80 min
  15. Islanded Operation With Sudden Main Grid Disconnection, 80 to 120 min
  16. ...and 1 more sections

Figures (12)

  • Figure 1: Block diagram of the proposed distributed event-triggered control and estimation strategy for the DC microgrids.
  • Figure 2: Schematic of a DC microgrid with the main constituent components.
  • Figure 4: Block diagram of the topic-based publish-subscribe model for the industrial distributed communication scenario.
  • Figure 5: The MQTT protocol stack for the event-based implementation.
  • Figure 6: Internal model of the ES system: (a) DC-DC converter circuit; (b) block diagram of the local converter controller.
  • ...and 7 more figures