Genetic algorithm solution to optimal sizing problem of small autonomous hybrid power systems

Abstract. The optimal sizing of a small autonomous hybrid power system can be a very challenging task, due to the large number of design settings and the uncertainty in key parameters. This problem belongs to the category of combi-natorial optimization, and its solution based on the traditional method of exhaustive enumeration can be proved extremely time-consuming. This paper proposes a binary genetic algorithm in order to solve the optimal sizing prob-lem. Genetic algorithms are popular optimization metaheuristic techniques based on the principles of genetics and natural selection and evolution, and can be applied to discrete or continuous solution space problems. The obtained results prove the performance of the proposed methodology in terms of solution quality and computational time

Long-term Reliability Analysis of a Microgrid on Isolated Mode using CPN formalism

It is well-known that the high penetration of Distributed EnergyResources (DERs) can be troublesome because of their unpredictable behaviors.In this context, renewable energy source (RES) appears as one of the most randomcomponent, since, in general, they are weather-dependent. The present paperdevelops a methodology to evaluate the reliability impacts of RES penetrationin microgrid's distribution system. For this evaluation, was used the ColoredPetri Nets (CPN) formalism and event-driven analysis, in order to formulatethe stochastic behaviors and simulate the system. To avoid the complexity onmodeling a microgrid, the agent approach was used, which permits to manageeach component as a unique entity, and assemble the whole system using thecommunication between the agents. Concerning the validation of the proposedmethodology, a comparison between the results of CPN modeling and MonteCarlo simulation is done by means of statistical analysis.info:eu-repo/semantics/inPres

A nonparametric approach for evaluating long-term energy policy scenarios: an application to the Greek energy system

This paper by using the system of LEAP (Long range Energy Alternatives Planning System) constructs four different energy scenarios for the Greek transport, energy and industry sectors. By projecting the renewable energy use for the years 2020 and 2030 and the associated resulting carbon dioxide emissions, the paper constructs through nonparametric analysis efficiency measures evaluating the different energy policy which can be adopted. As a result it provides a quantitative measure of future policy performance under different energy consumption scenarios. The results reveal that the largest policy challenge for the Greek authorities will be the energy usage of the Greek industry since it is robust towards the adoption of renewable energy sources. It appears that under the four different policy scenarios the Greek industry sector will not be able to meet the environmental targets set by the Greek government. Finally, the analysis reveals that the targets for 2020 and 2030 can be met for the energy sector however for transport can only be met for the year 2030