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  4. Feasibility and economical analysis of energy storage systems as enabler of higher renewable energy sources penetration in an existing grid
 
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2022
Journal Article
Title

Feasibility and economical analysis of energy storage systems as enabler of higher renewable energy sources penetration in an existing grid

Abstract
Grid stability becomes an issue when incorporating renewable distribution generation into an electrical grid due to voltage fluctuations. This work presents an innovative solution which assists grid planners in carrying out technical and economic analysis of future grids and in taking decisions based on it. A set of tools allows the determination of the renewable energy sources and energy storage systems impact to a given grid concerning technical and economic indicators. Using these tools, a study was conducted comparing model predictive control with photovoltaics-curtailment, volt-watt and volt-var methods for the control of photovoltaics and energy storage power in an existing grid. Some highlights of the analysis are: (i) the given grid supports maximal photovoltaics penetration level of 120% without exceeding the ±10% voltage level limits; (ii) the model predictive control method aiming at the minimization of power exchange in a grid with 60% storage penetration allowed significant increase of photovoltaics penetration to 190% and reduced the maximum voltage level to 1.089pu; (iii) a user-centered design and development of the interface for grid planners resulted in a system usability scale score of 63.9. The tools enable the grid planner to take decisions when planning the future grid.
Author(s)
Aragón, Gustavo
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Pandian, Vinoth
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Krauß, Veronika
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Werner-Kytölä, Otilia  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Thybo, G.
Pautasso, E.
Journal
Energy  
DOI
10.1016/j.energy.2022.123889
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • Economic model

  • Energy storage system

  • Model predictive control

  • PV penetration

  • User-centered approach

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