Optimization of revenues of a distributed generation portfolio: Industrial pilot results

Many companies are investing in energy production from renewable energy sources and are looking at ways to optimize their portfolio performance. This pilot aims at maximizing the revenues from such a distributed energy generation portfolio, consisting of gas engines and a photo-voltaic (PV) installa...

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Bibliographic Details
Published in2012 IEEE International Energy Conference and Exhibition (ENERGYCON) pp. 823 - 828
Main Authors Geysen, D., Kessels, K., Thewis, S., Hommelberg, M., Tielemans, Y., Vinck, K., Merket, W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
Electricity
Engines
Human factors
Intelligent control
market-based multi-agent control
Portfolios
Production
Smart grids
Virtual Power Plant (VPP)
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Summary:Many companies are investing in energy production from renewable energy sources and are looking at ways to optimize their portfolio performance. This pilot aims at maximizing the revenues from such a distributed energy generation portfolio, consisting of gas engines and a photo-voltaic (PV) installation, by actively controlling the available flexibility within a cluster. The gas engines themselves and an on-site water treatment plant (WTP) turned out to be flexible respectively in their electricity production and consumption. This paper presents the preliminary results of the pilot in which smart control was applied to the gas engines. It compares them with the simulation results, which are discussed in a previous paper, as well as with the business as usual (BAU) scenario. Practical issues and their related solutions are discussed. The economic outcomes are also described. The first results from the pilot are in line with the results obtained by the simulations.
ISBN:9781467314534
1467314536
DOI:10.1109/EnergyCon.2012.6348265