Different Predictive Control Strategies for Active Load Management in Distributed Power Systems with High Penetration of Renewable Energy Sources

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    1 Downloads (Pure)

    Abstract

    In order to achieve a Danish energy supply based on 100% renewable energy from combinations of wind, biomass, wave and solar power in 2050 and to cover 50% of the Danish electricity consumption by wind power in 2020, it requires more renewable energy in buildings and industries (e.g. cold stores, greenhouses, etc.), and to coordinate the management of large numbers of distributed energy resources with the smart grid solution. This paper presents different predictive control (Genetic Algorithm-based and Model Predictive Control-based) strategies that schedule controlled loads in the industrial and residential sectors, based on dynamic power price and weather forecast, considering users’ comfort settings to meet an optimization objective, such as maximum profit or minimum energy consumption. Some field tests were carried out on a facility for intelligent, active and distributed power systems, which is built around a small power grid with renewable power generations (two wind turbines and solar panels), a vanadium battery for storage, EV-charging infrastructure for EVs, and an intelligent office building. The simulation and field tests demonstrated that GA-based and MPC-based predictive control strategies are able to achieve load shifting and enable end users to participate in market-based power systems, and thus profit from optimal consumption of energy in relation to price and supply of ancillary services in the power system, as well as improve grids with integration of high penetration of renewable energy sources, which could lead to reducing reinforcements in the future power systems.
    Original languageEnglish
    Title of host publicationProceeding for PowerGen & Renewable Energy World Europe 2013
    Number of pages18
    Publication date2013
    Publication statusPublished - 2013
    EventPowerGen & Renewable Energy World Europe 2013 - Messe Wien, Vienna, Austria
    Duration: 4 Jun 20136 Jun 2013

    Conference

    ConferencePowerGen & Renewable Energy World Europe 2013
    LocationMesse Wien
    Country/TerritoryAustria
    CityVienna
    Period04/06/201306/06/2013

    Bibliographical note

    This paper won a "best paper award"

    Fingerprint

    Dive into the research topics of 'Different Predictive Control Strategies for Active Load Management in Distributed Power Systems with High Penetration of Renewable Energy Sources'. Together they form a unique fingerprint.

    Cite this