This paper presents a new method which applies an artificial bee colony algorithm (ABC) for capacitor placement in distribution systems with an objective of improving the voltage profile and reduction of power loss. The ABC algorithm is a new population based meta heuristic approach inspired by intelligent foraging behavior of honeybee swarm. The advantage of ABC algorithm is that it does not r...

Currently, many wind farms exist throughout the world and, in some cases, supply a significant portion of energy to networks. However, numerous uncertainties remain with respect to the amount of energy generated by wind turbines and other sophisticated operational aspects, such as voltage and reactive power management, which requires further development and consideration. To fix the problem of ...

In this paper, the optimal placement and sizing of capacitors for compensation reactive power unbalance in medium voltage distribution networks with unbalanced loads is proposed. The proposed capacitor allocation reduces losses caused by demand unbalance. powers are calculated IEEE STD 1459-2010, presented real values electrical magnitudes three-phase systems. results obtained from method compa...

This paper focuses on the engineering trade-offs in designing capacitor voltage balancing schemes for modular multilevel converters (MMC) HVDC: regulation performance and switching loss. MMC is driven by the on/off switch operation of numerous submodules and the key design concern is balancing submodule capacitor voltages minimizing switching transition among submodules because it represents th...

Autonomous object placement is a central task in many military and industrial applications. Deciding where to place an object, or placement planning, is a crucial reasoning task within object placement. Placement planning is especially challenging in 3D worlds. In previous work we developed approaches for placement planning that perform well but require manually-engineered knowledge. Consequent...