Real power loss reduction by Enhanced Electromagnetic Field and Lightning Process Optimization algorithms

Abstract

In this research paper Enhanced Electromagnetic Field Optimization (EEFO) algorithm and Lightning Process Optimization (LPO) algorithm are projected to solve the problem. Real power loss reduction is the main objective of the work. In the algorithm population is alienated into three fields: positive, negative, and neutral. Based on the attraction–repulsion forces among these electromagnetic positive, negative, and neutral fields, a new-fangled electromagnetic particle will be engendered in iterations. In Electromagnetic field optimization algorithm, solution symbolized by Electromagnetic Particle (EMPE) and is made through electromagnets which equal to the total number of variables. Among the neighbor’s every electromagnet will imply the attraction and repulsion which possess’​ positive, negative polarity. Then in this paper Lightning Process Optimization (LPO) algorithm is used to solve optimal reactive power problem. Naturally happening lightning process has been imitated to formulate the algorithm. Test points situated on the cloud surface and the ground area are considered as solutions. Objective function is computed with all test points and taken as electric field. With reference to the function of head tip elevation, cloud altitude, channel charge subsequent bound of upward leader is interrelated to charge of the channel. With considering voltage stability index EEFO and LPO algorithms are verified in IEEE 30 bus system. Then EEFO and LPO algorithms evaluated in standard IEEE 14, 30, 57, 118 and 300 bus test systems without considering the voltage stability index. Minimization of real power loss with voltage stability index enhancement has been attained and voltage deviation also minimized.