Sketch-Based Optimisation for Distribution Grid Expansion Planning: User-driven research to accelerate distribution grid expansion planning at Alliander

Distribution Network Operators (DNOs) are confronted with a significant challenge to expand the capacity of the electricity distribution grid to facilitate the energy transition. Grid expansion planning for the distribution grid is a complex problem with many constraints and objectives. Earlier research has focused on metaheuristics such as...

Home Energy Management System: A Machine Learning Approach

The increasing adoption of renewable energy sources, particularly photovoltaic (PV) systems in residential sectors has raised important energy balancing challenges due to the intermittent nature of energy generation. To address these challenges and prioritize cost savings for residential consumers, this research investigates the integration of...

Solar tracking of perovskite-silicon tandem PV modules under real-world conditions

Increasing the energy yield per unit area of Photovoltaic (PV) modules is one of the main challenges the PV technology is currently facing. In search of ways to address this issue, solar tracking systems are a favorable solution, which according to literature can enhance the energy yield by up to 45%. Another way is to opt for high-efficiency...

Performance Analysis of Wind Turbines at Pen y Cymoedd Wind Farm Using High-Frequency SCADA Data Sets

This research is carried out in collaboration with Vattenfall, to investigate the performance of a 76-turbine onshore wind farm. Since the start of operation, the wind farm has not been reaching P50 production estimates. Over the first five years of operation, there has been a big average gap between Annual Energy Production (AEP) and long-term...

Optimising BESS Control Strategies for Congestion and Price Arbitrage

Renewable energy generation projects are often measured by their peak capacity. A wind farm rated at 25 MW will generate 25 MW of power under the right circumstances. This peak capacity is reached very little in practice. However, these generators are forced to purchase grid operation infrastructure that can handle this peak generation event....

The Feasibility of Reinforcement Learning as a replacement for Mixed-Integer Programming for Smart Charging of Electric Vehicles

As the world is currently actively trying to reduce the consumption of fossil fuels, large investments are done in renewable energy sources and ways are sought after to electrify fossil fuel-intensive sectors. In line with these developments, the number of electric vehicles requiring access to the electric power grid has exploded putting...

Discharge mechanism in CO2: A study on possible occurrence of secondary discharges caused by field distortion during streamer or leader propagation

Since the introduction of SF6 in the 1950s, gas-insulated high voltage circuit breakers and Gas-insulated switchgear (GIS) have improved considerably, in particular concerning required drive energy for operation, compactness, and reliability. Nevertheless, high voltage insulation design has become increasingly challenging in recent years....

EMT model and dynamic power management strategy of an offshore renewable energy hub with local power-to-gas conversion

Given the urgency to shift to a cleaner energy mix, offshore wind energy is bound to be quickly deployed on a large scale in the next years. In order to meet the Paris Agreement, the current role-out rate of wind energy in the North Sea, that is 2 GW/year, needs to be increased to an average value of 7 GW/year over the period 2023-2040. This...

PV System Monitoring and Fault Detection using Peer Systems

Solar energy is an abundant, scalable, and clean source of energy. With an exponential drop in prices of PV modules, more and more rooftop photovoltaic (PV) systems are being installed worldwide. Since these small-scale PV systems do not use expensive sensors, it is difficult to detect malfunctions for these systems. This could lead to lower...