Enhancing mid-voltage grid capacity: optimised reconfigurations
Increasing the capacity of the mid-voltage grid through reconfiguration is an approach that is especially valuable for short-term capacity boosts. This method involves the opening or closing of switches within the network, aiming to optimize performance while adhering to stringent technical conditions. The challenge lies in orchestrating these reconfigurations effectively to meet the capacity requirements without compromising the integrity of the grid’s technical parameters. Engineers must navigate the dynamic nature of electricity flow, potential overloads, and voltage fluctuations.
A sophisticated control strategy becomes essential to manage the intricate interplay between various network elements and ensure that voltage levels and current strength remain within predefined bounds. While reconfiguration offers a viable solution for short-term capacity enhancements, the technical intricacies necessitate not only a deep understanding of the electrical characteristics of the mid-voltage grid but also the implementation of advanced control and monitoring systems to ensure a seamless and reliable expansion of capacity.
In addressing the imperative of enhancing capacity within multiple mid-voltage grids, we developed a comprehensive mathematical model for a Distribution System Operator. This model encompasses several crucial functionalities. Firstly, it facilitates the evaluation of potential violations of current and voltage bounds under various future demand scenarios, offering invaluable foresight into potential challenges. Secondly, the model assesses whether these violations can be mitigated through strategic reconfiguration of the network, involving the opening or closing of switches while minimising network alterations.
Optimised and robust
This approach ensures that the necessary capacity upgrades are achieved with minimal disruption. Furthermore, the model aids in pinpointing specific locations in the network where the addition of new cables can pre-emptively thwart potential violations, allowing for targeted infrastructure investments. Lastly, the model serves a critical role in the N-1 verification process, verifying the robustness of the mid-voltage network under single-point failures.
This multifaceted mathematical model equips the DSO with a comprehensive toolkit, enabling informed decision-making and strategic planning for capacity enhancement across diverse mid-voltage grids.