this paper proposes per unit coding for combined economic emission load dispatch problem. in the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. in the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. in this paper, particle sw...

In this paper, the chaotic particle swarm optimization (CPSO) algorithm is combined with MATPOWER toolbox and used as an tool for attaining solving optimal reactive power dispatch (RPD) problem, by finding adjustment of control variables like a voltage generator buses (VG), capacitor banks (QC) transformer taps (Tap) while satisfying some equality inequality constraints at same time. CPSO Simpl...

In this paper, a new nature inspired and efficient algorithm based on flower pollination is proposed for solving the optimal reactive power dispatch (ORPD) problem. The proposed algorithm is simple, easy to implement and with less number of parameter to be tuned. ORPD is an important power system optimization problem for improving the stability of the system. Loss minimization objective based O...

This paper addresses the problem of centralized optimization of an interconnected power system partitioned into several regions controlled by different transmission system operators (TSOs). It is assumed that those utilities have agreed to transferring some of their competencies to a centralized control center, which is in charge of setting the control variables in the entire system to satisfy ...

This paper addresses the problem of reducing CO2 emissions by applying convex optimal power flow model to the combined economic and emission dispatch problem. The large amount of CO2 emissions in the power industry is a major source of global warming effect. An efficient and economic approach to reduce CO2 emissions is to formulate the emission reduction problem as emission dispatch problem and...

The Refined Bacterial Foraging Optimization (RBFA) algorithm is biologically inspired computation technique which is inspired on foraging behavior of E-coli bacteria and its improved version of basic Bacterial Foraging Algorithm (BFA). This paper illustrated how a proposed algorithm different from other social behavior algorithm for solving optimization problems especially in multi-objective ca...