Economic load dispatch of wind-solar-thermal system using backtracking search algorithm

Abstract

Due to rise in the price of fossil fuels and technical advances in the area of renewable energy, integrated systems became more popular now a day. However uncertain nature of wind, solar irradiation due to weather and climate change, integration of renewable power generation system complicates the ELD formulation. The paper presents optimum scheduling of integrated solarwind- thermal system using backtracking search algorithm (BSA). BSA is a novel population based stochastic search optimization technique, having simple structure and only one control parameter as population size. BSA has two new types of operator’s as crossover and mutation for exploration and exploitation of search space of problem desired to be optimized and also satisfies all associated constraints of the objective function.

Keywords: BSA, Photovoltaic cell, Valve point loading effect, Probability density function.