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Solar Energy Forecasting and Optimization System for Efficient Renewable Energy Integration

  • Diana Manjarres
  • Ricardo Alonso
  • Sergio Gil-Lopez
  • Itziar Landa-Torres
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10691)

Abstract

Solar energy forecasting represents a key issue in order to efficiently manage the supply-demand balance and promote an effective renewable energy integration. In this regard, an accurate solar energy forecast is of utmoss importance for avoiding large voltage variations into the electricity network and providing the system with mechanisms for managing the produced energy in an optimal way. This paper presents a novel solar energy forecasting and optimization approach called SUNSET which efficiently determines the optimal energy management for the next 24 h in terms of: self-consumption, energy purchase and battery energy storage for later consumption. The proposed SUNSET approach has been tested in a real solar PV system plant installed in Zamudio (Spain) and compared towards a Real-Time (RT) strategy in terms of price and energy savings obtaining attractive results.

Keywords

Solar energy Renewable energy integration Optimization PV energy forecast 

Notes

Acknowledgment

This work has been supported in part by the ELKARTEK program of the Basque Government (BID3ABI project), and EMAITEK funds granted by the same institution.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Diana Manjarres
    • 1
  • Ricardo Alonso
    • 1
  • Sergio Gil-Lopez
    • 1
  • Itziar Landa-Torres
    • 1
  1. 1.TECNALIA Research and InnovationDerioSpain

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