• Subham Kumar
• Anurag S D Rai
• Reeta Pawar
• Anjana Tripathi

The data of electrical network is normally at the control center and it uses certain protocols , the measured data have some uncertainties due the meter and communication error (noise) . The aim of state estimation of state variables of power system by minimization the measurement error (noise) present at control center In this paper we discusses the application of an, improved Artificial Bee colony algorithm optimization (improved ABC)- weighted least absolute value method and its effectiveness over other AI optimization algorithm, Particle swarm optimization (PSO), is shown by comparing both the solution. The true state variable values obtained by using Newton- Raphson (NR) algorithm.

"Improved Artificial Bee Colony(iABC)-WLAV Technique in Power System State Estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.297-302, September-2018, Available :http://www.jetir.org/papers/JETIR1809839.pdf

"Improved Artificial Bee Colony(iABC)-WLAV Technique in Power System State Estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp297-302, September-2018, Available at : http://www.jetir.org/papers/JETIR1809839.pdf