Supervisory Hybrid Model Predictive Control For Voltage Stability Of Power Networks.pdf

07_002.pdf
Preview of Supervisory Hybrid Model Predictive Control for Voltage Stability of Power Networks
🔗 Source: dcsc.tudelft.nl
📊 Size: 489 KB
📄 Pages: 8 pages
⬇️ Downloads: 32

Summary

Supervisory Hybrid Model Predictive Control for Voltage Stability in Power Networks

This technical report by Delft University of Technology proposes a hybrid model predictive control (MPC) strategy to enhance voltage stability in power networks after disturbances.

Problem: Voltage instability arises when the generation and transmission system cannot meet load demand following an outage, leading to unsustainable voltage profiles.

Solution: The MPC approach combines discrete-time supervisory control with continuous-time model predictive control. A higher-level controller:

1. Predicts network behavior: Uses a dynamic model incorporating hybrid interactions between generators, loads, and transmission lines.
2. Determines setpoints: Provides both continuous (voltage setpoints for generators) and discrete (switching commands for capacitors/loads) inputs to lower-level primary controllers at regular intervals.
3. Minimizes instability: Aims to stabilize voltage levels while considering the physical limitations of the network.

Network Consideration: The study utilizes the IEEE 9-bus Anderson-Farmer network, a benchmark system representing a complex power grid with generators, loads, and transmission lines.

Key Features:

Hybrid Control: Integrates continuous and discrete control elements for more effective management of diverse network dynamics.
Online Optimization: Adapts to real-time conditions, considering both temporal dynamics and minimizing negative voltage instability effects.
* Supervised Control: A higher-level controller steers lower-level controllers, ensuring coordinated and optimal system performance.

Results: Simulation results demonstrate the effectiveness of the proposed MPC strategy in restoring voltage stability following disturbances in the considered network.

Description

This technical report from Delft University of Technology's Center for Systems and Control presents a supervisory hybrid model predictive control approach to enhance voltage stability in power networks. The study, published in the 2007 American Control Conference, offers a method to balance control precision with computational efficiency.

Technical Information

  • File Format: PDF
  • File Size: 489 KB
  • Pages: 8
  • Language: EN
  • Total Downloads: 32
  • Last Updated: 2 months ago

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