With growing connectivity demands and rapidly evolving technologies, network operators must address two key challenges: mitigating network congestion and optimizing network performance.
Electricity network operators fill an extremely important role in the Dutch energy transition. Electrification has presented itself as an efficient and cheap transition option for both domestic and industrial purposes, especially considering the exponential growth of renewable power through solar and wind. This has led to network congestion becoming an increasingly pressing issue. Network operators are asked to accommodate this surge in supply and demand with an increasing complexity level, considering peak hours in both supply and demand need to be managed.
Our Approach
Quo Mare supports network operators in their decision-making processes using quantitative modelling methods. Hourly models simulate supply and demand profiles and often apply multiple scenario’s, to see how the optimal choices and investments can differ based on circumstances and which decisions are robust across scenario’s. Different investments (e.g., batteries, power plants, grid fortification) are compared based on their techno-economic merits in the provided context and different strategies to alleviate grid congestion are compared and combined to find an optimal overall approach.