Osakeste parvega optimeerimise rakendamine elektribörsil

Abstract

This bachelor thesis consists of giving an overview of the electircity market in Estonia, introducing the method of particle swarm optimization (PSO) and implementing PSO on a problem associated with electricity market. Electricity market was opened only in the beginning of year 2013 in Estonia. Thus this subject is topical at the moment. We concentrate on power producers in the day-ahead market, specifically on submitting an offer curve to the day-ahead market. In order to maximize profit, power companies need appropriate bidding strategies. In this thesis one strategy is described and a method for calculating necessary prices and quantities for electricity is introduced. Particle swarm optimization is a computation technique, which is inspired by swarm behaviour such as fish schooling or bird flocking. PSO is initialized with a population of random particles and it searches for solution by updating generations. The particles fly through the n-dimensional problem space moving towards both current individual and current global optimum position. In last chapter of this thesis a theoretical example of finding an offer curve for two electricity generators is solved implementing particle swarm optimization. It is modelled using MATLAB.