A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market

Eleonora Riva Sanseverino, Maria Luisa Di Silvestre, Gaetano Zizzo, Roberto Gallea and Ninh Nguyen Quang
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Eleonora Riva Sanseverino: Department of Energy, Information engineering and Mathematical models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy
Maria Luisa Di Silvestre: Department of Energy, Information engineering and Mathematical models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy
Gaetano Zizzo: Department of Energy, Information engineering and Mathematical models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy
Roberto Gallea: Department of Chemical Engineering, Management, Computer Science, Mechanical Engineering (DICGIM), University of Palermo, Viale delle Scienze, Edificio 6, Palermo 90128, Italy
Ninh Nguyen Quang: Department of Energy, Information engineering and Mathematical models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy

Energies, 2013, vol. 6, issue 11, 1-22

Abstract: In this paper, an original scheduling approach for optimal dispatch of electrical Energy Storage Systems (ESS) in modern distribution networks is proposed. The control system is based on fuzzy rules and does not use forecasts since it repairs the past history according to the real time data on the electrical energy cost, renewable energy production and load. When the system detects a worsening of performances, the fuzzy logic rule-based control system self-adapts its membership functions using an economic indicator. The common use, in the relevant literature, of forecasted values in such systems can lead to large errors and economic losses. Moreover the speed of calculation guaranteed by the fuzzy control system allows the execution of new calculations even with high frequency. After the Introduction section, where the state of the art on the topic is outlined, the problem formulation is presented and an interesting application of the considered approach to the control on a medium size battery with real world data is proposed.

Keywords: scheduling; ESS; fuzzy logic; heuristic repair; rolling horizon (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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