Optimal distributed generation allocation in MV distribution networks

The necessity for flexible electric systems, changing regulatory and economic scenarios, energy savings and environmental impact are providing impetus to the development of distributed generation (DG), which is predicted to play an increasing role in the electric power system of the future. With so much new distributed generation being installed, it is critical that the power system impacts be assessed accurately so that DG can be applied in a manner that avoids causing degradation of power quality, reliability and control of the utility system. For these reasons, the paper proposes a new software procedure, based on a genetic algorithm, capable of establishing the optimal distributed generation allocation on an existing MV distribution network, considering all the technical constraints, like feeder capacity limits, feeder voltage profile and three-phase short circuit current in the network nodes.

I. INTRODUCTION

Distributed Generation (DG) includes the application of small generators, scattered throughout a power system, to provide the electric power needed by electrical customers. DG often offers a valuable alternative to traditional sources of electric power for industrial, commercial and residential applications. DG makes a large use of the latest modern technology and can be efficient, reliable, and simple to own and operate that it can compete with electrical power systems. In some cases DG can offer significantly lower cost and higher reliability than a customer can obtain from the electrical grid. In others, it can augment the grid so that the combination of grid and DG can provide higher performance than either could alone. But regardless, it offers an alternative that utility planners should explore in their search for the best solution to electric supply problems [1]–[3].