Market Based Flexibility Services for Congestion Management Assignment

Assignment Task

Optimal congestion management in a flexibility market with correlated uncertainties

The use of decentralized energy resources (DERS), is increasing, and it imposes considerable uncertainties on grid operation. In such an environment, maintaining reliable operation of the distribution system is challenging. Therefore, the probabilistic analysis of smart grids, e.g., congestion management with high penetration of DERS is one of the current hot research topics. However, in most studies, an individual probabilistic modelling approach is considered, while the DERS (such as wind turbines and PV units) are inherently temporally and spatially correlated. Therefore, it is necessary to propose an uncertainty modelling based on the correlation approach for efficient congestion management and voltage regulation of smart grids. Furthermore, the flexibility to be reserved also depends on the energy market. Considering the time horizons of the flexibility market (day ahead, intraday and spot), the deviation of uncertainties and the corresponding reserving of flexibility needs consideration. Considering the probability of occurrence of particular congestions, adaptation of the bids and reserve flexibility is required.

Tasks

• Implementing Copula-based correlated uncertainty modelling for renewables
• Steady analyses of congestions considering uncertainties (possibly also voltage problems)
• Develop a method for optimal operational management considering the market time horizons and optimal bid offers.

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