In this paper, a novel framework is proposed to study impacts of regulatory incentive on distributed generation (DG) investment in sub-transmission substations, as well as upgrading of upstream transmission substations. Both conventional and wind power technologies are considered here. Investment incentives are fuel cost, firm contracts, capacity payment and investment subsidy relating to wind ...

Hierarchical multimodal hub location problem is a cost-minimizing hub covering problem where two types of hubs and hub links, accounting for ground and air transportation, are to be established, while ensuring time-definite deliveries. We propose a mixed-integer programming formulation and perform a comprehensive sensitivity analysis on the Turkish network. We show that the locations of airport...

Mixed-Line-Rate (MLR) optical networks provide the flexibility for satisfying heterogeneous traffic demands. However, the existence of multiple line rates makes the network planning problem more complicated. In this paper, we aim at minimizing the network cost (the joint cost of transponder, wavelength channel usage and the number of used wavelengths) for provisioning multiple multicast session...

Nowadays generation capacity in traditional grid depends on fossil fuels and contributes significantly to the increase of pollution emission. In deregulated grids in addition to using demand response programs (DRPs) to reducing the cost of electricity production, peak clipping and improve reliability use of green Plants such as hydro plant, wind plant become widespread. In a smart grid, end use...

Vertical partitioning is a technique for reducing the number disk accesses to execute a query by minimizing the number of irrelevant instance variables accessed. The complexity of object-oriented database (OODBs) models due to subclass hierarchy and class composition hierarchy complicates the definition and representation of vertical partitioning of the classes. Furthermore, as the data in the ...

We propose a two-stage recoverable robustness approach that minimizes the recovery cost. In many applications, once uncertainty ξ $$ \xi is revealed, it can be more important to recover solution x {x}^{\xi } which as similar possible nominal n o m {x}^{nom} than minimize objective value of . This for example occurs when implemented on regular basis or revealed late. define proactive problem wei...