Now showing items 1-6 of 6
A mixed-integer convex model for the optimal placement and sizing of distributed generators in power distribution networks
The optimal placement and sizing of distributed generators is a classical problem in power distribution networks that is usually solved using heuristic algorithms due to its high complexity. This paper proposes a different ...
A mixed-integer conic formulation for optimal placement and dimensioning of DGs in DC distribution networks
The problem of the optimal placement and dimensioning of constant power sources (i.e., distributed generators) in electrical direct current (DC) distribution networks has been addressed in this research from the point of ...
Simultaneous Minimization of Energy Losses and Greenhouse Gas Emissions in AC Distribution Networks Using BESS
The problem of the optimal operation of battery energy storage systems (BESSs) in AC grids is addressed in this paper from the point of view of multi-objective optimization. A nonlinear programming (NLP) model is presented ...
Efficient operative cost reduction in distribution grids considering the optimal placement and sizing of d-statcoms using a discrete-continuous vsa
The problem of reactive power compensation in electric distribution networks is addressed in this research paper from the point of view of the combinatorial optimization using a new discrete-continuous version of the vortex ...
Global Optimal Stabilization of MT-HVDC Systems: Inverse Optimal Control Approach
The stabilization problem of multi-terminal high-voltage direct current (MT-HVDC) systems feeding constant power loads is addressed in this paper using an inverse optimal control (IOC). A hierarchical control structure ...
An approximate mixed-Integer convex model to reduce annual operating costs in radial distribution networks using STATCOMs
: The problem of optimal siting and sizing of distribution static compensators (STATCOMs) is addressed in this research from the point of view of exact mathematical optimization. The exact mixed-integer nonlinear programming ...