Introducing advanced hybrid coupling: Non-discriminatory coalescence of flow-based and net transfer capacity calculation regions
Flow-based market coupling is substantially altering the computation of cross-zonal capacities for the trade of electricity in the vast majority of European markets. The main benefit of the flow-based method is improved accuracy by better representing the impact of cross-zonal trade on the power flows in transmission grids. Some borders, adjacent to flow-based capacity regions, are represented through net transfer capacities during market coupling. Under the current standard hybrid coupling, the utilization of grid elements in the flow-based regions due to the predicted trade across such borders is not available for trades between flow-based zones. The flow-based representation is not limited to the given capacity calculation region, but can be extended to also model the impact of trade with other regions. This so-called advanced hybrid coupling replaces the priority inherently given to trade across net transfer capacity-coupled borders by introducing virtual bidding zones. These map the effect of non-flow-based borders on line capacities in the flow-based regions, enabling the market coupling optimization to prioritize trade between flow-based bidding zones and trade across non-flow-based borders. This paper explains the mechanism of advanced hybrid coupling and how it is modeled mathematically. Based on a test network, a case study shows to what extent and why advanced hybrid coupling leads to welfare gains during market coupling and lower congestion management costs in the flow-based region.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Linear-cost unbiased posterior estimates for crossed effects and matrix factorization models via couplings
We design and analyze unbiased Markov chain Monte Carlo (MCMC) schemes based on couplings of blocked Gibbs samplers (BGSs), whose total computational costs scale linearly with the number of parameters and data points. Ou…
On couplings for kinetic Langevin diffusions
For the kinetic Langevin diffusion and its splitting discretizations, the hypoelliptic noise structure makes the relationship between couplings and total variation (TV) bounds more subtle than in the elliptic case. We es…
A new hybrid spectral similarity measure for discrimination of Vigna species
The reflectance spectrum of the species in a hyperspectral data can be modelled as an n-dimensional vector. The spectral angle mapper computes the angle between the vectors which is used to discriminate the species. The …
Track Coalescence and Repulsion: MHT, JPDA, and BP
Joint probabilistic data association (JPDA) and multiple hypothesis tracking (MHT) introduced in the 70s, are still widely used methods for multitarget tracking (MTT). Extensive studies over the last few decades have rev…
Track Coalescence and Repulsion in Multitarget Tracking: An Analysis of MHT, JPDA, and Belief Propagation Methods
Joint probabilistic data association (JPDA) filter methods and multiple hypothesis tracking (MHT) methods are widely used for multitarget tracking (MTT). However, they are known to exhibit undesirable behavior in trackin…