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UNI

PhD in Distributed Optimization & Control of Reactive Power for Grid Stability in the Nordic Power System

University of South-Eastern Norway Electrical and Electronics Engineering
✓ Fully Funded ⏰ Closing Soon 🎓 Electrical Engineering distributed optimization reactive power grid stability automatic voltage regulation power system control nordic power system renewable integration energy security

Explore how to optimize and control reactive power for greater stability in the Nordic Power System. This PhD involves developing innovative distributed control strategies to improve grid resilience and efficiency, directly impacting the future of energy security in the region.

AI-generated overview

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Why This Research Matters

This research is vital for enhancing the stability and efficiency of the Nordic power grid as it adapts to growing electricity demands and increasing renewable integration. By improving reactive power coordination and control, it supports reducing power losses, stabilizing voltage levels, and enabling cost-effective market mechanisms, thus contributing to energy security and sustainable grid operation.

Energy Market Electric Power system Optimization

Project Description

Project Overview

This PhD project is part of the CoordQ research initiative focused on enhancing reactive power and voltage coordination in the Nordic Power System. The candidate will research distributed optimization methods and control techniques to improve grid stability and coordination among various grid controllers. The project seeks to strengthen the Nordic power grid's resilience and efficiency by developing national control frameworks and market incentives for reactive power services.

What You Will Do

The candidate will be affiliated with the Electrical Power Systems research group and engaged with Work Package 1 (WP1) on real-time fleet control in CoordQ. Responsibilities include developing distributed optimization strategies for reactive power dispatch, designing Automatic Voltage Regulation schemes, investigating load cycle limits, exploring dynamic controller interactions between synchronous generators and inverter-based resources, and developing adaptive control mechanisms to enhance grid stability under fluctuating conditions.

Expected Outcomes

The research aims to deliver novel distributed control approaches that coordinate Automatic Voltage Regulators and power electronic converters. Outcomes will include improved multi-time scale controller coordination, enhanced grid resilience, and optimized reactive power management contributing to reduced power system losses and stabilized voltage profiles across the Nordic grid.

Why This Matters

This research addresses critical challenges in ensuring energy security and reliability as electricity demand grows. By improving reactive power coordination and stability, the project supports efficient grid operations and facilitates integration of renewable energy sources, ultimately contributing to a more sustainable and robust Nordic power system.

Eligibility

UK/Home
EU
International

Supervisor Profile

DS
Dr. Sambeet Mishra and Dr. Thomas Øyvang
University of South-Eastern Norway, Electrical and Electronics Engineering

Dr. Sambeet Mishra and Dr. Thomas Øyvang supervise this PhD. Dr. Mishra's research typically focuses on power systems, optimization techniques, and control strategies in energy networks. Dr. Øyvang's expertise includes electrical engineering with applications in sustainable energy and grid management. Both are senior researchers at the University of South-Eastern Norway, actively involved in cutting-edge Nordic energy projects like CoordQ.

Key Publications

2019 407 citations
Outlook of fermentative hydrogen production techniques: An overview of dark, photo and integrated dark-photo fermentative approach to biomass
2020 112 citations
Energy-aware task allocation for multi-cloud networks
2020 91 citations
Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature
2016 82 citations
Design and simulation of a solar–wind–biogas hybrid system architecture using HOMER in India
2019 76 citations
A multi-agent system approach for optimal microgrid expansion planning under uncertainty

Research Contributions

Advanced techniques in fermentative hydrogen production using dark, photo, and integrated approaches to biomass conversion.
This research supports the development of sustainable and efficient biohydrogen production methods impacting renewable energy solutions.
Methods for energy-aware task allocation in multi-cloud network environments.
Improved resource efficiency and energy savings in cloud data centers and network operations.
Application and comparison of deep learning models for predicting wind power generation and temperature.
Enhanced accuracy in renewable energy forecasting aiding grid integration and energy management.
Design and simulation of hybrid renewable energy systems combining solar, wind, and biogas.
A model to optimize renewable resource utilization contributing to energy sustainability particularly in the Indian context.

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