Multi Objective Optimal Power Flow In Smart Grid

Abstract

The current research study proposes a multi-objective Optimal Power Flow newline(OPF) solution using a modified version of Interior Search Algorithm, newlineincorporating Levy Flight feature with two different strategies. Most of the newlineconventional optimal power flow problems consider thermal generation units newlinealone while security challenges faced by the network are not considered. OPF newlineproblem has been widely investigated in power system operation and planning to newlinefix electricity prices. Therefore, conventional optimal power flow solutions newlinecannot meet environmental protection requirements since it mainly focuses on newlineminimization of generation cost. The multi-objective optimal power flow solution newlineconsiders both economic and emission issues. With the addition of emission newlineobjective in optimal power flow problem, the scope gets widened and even more newlinecomplicated than earlier. This can be solved only with the help of an accurate newlinealgorithm. In other terms, emission needs to be significantly reduced considering newlinethe environmental sustainability aspects. So, electrical grid must be infused with newlinepower generated from numerous renewable energy sources. However, with the newlineimplementation of intermittent renewable energy sources, the problems get newlinehighly complicated. So, the current research thesis proposes an approach to newlineaccomplish optimal power flow through a combination of stochastic wind, hydro newlineand solar powers coupled with traditional thermal power generators in power newlinesystems. Two sub-problems of optimal power flow, namely active power newlinedispatch and reactive power dispatch are considered in this study. The problem is newlineformulated as a mixed-integer nonlinear optimization problem, taking both newlinecontinuous and discrete control variables into account. The current study used newlineWeibull, Gumbel and lognormal probability distribution functions to determine newlinethe available wind, solar and small-hydro powers respectively. In order to prove the effectiveness of the proposed Levy Interior Search Algorithm, simulation was carried out on different standard test