Hybrid firefly algorithm based distribution state estimation with regard to renewable energy sources

Abstract

Renewable energy, which is a continuous source of energy, can be classified as the sun, running water, biomass, wind, geothermal sources and ocean currents. Several research works projects about 30% of the total generations will be from Renewable Energy Sources (RES) in future and so it's important to analyze different prospects of RES mainly over distribution networks. In this paper, a new Distribution State Estimation (DSE) with RES has been proposed based on a combination of Genetic Algorithm (GA) and Firefly Algorithm (FA). In case of radial distribution network with different RES, State estimation is generally called mixtribution which is basically an optimization technique. This Hybrid Firefly Algorithm (HFA) can estimate RES and load values using Weighted Least Square (WLS) method with some typical situations like reactive power compensator, tap changing transformer modeling, voltage regulator having nonlinear nature of characteristics. For a better understanding and feasibility of the proposed approach, the algorithm is checked over the IEEE 70 bus test system.