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

Energies

Eleonora Riva Sanseverino¹  Maria Luisa Di Silvestre¹  Gaetano Zizzo¹  Roberto Gallea² 

[1] Department of Energy, Information engineering and Mathematical models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy; E-Mails:;Department of Chemical Engineering, Management, Computer Science, Mechanical Engineering (DICGIM), University of Palermo, Viale delle Scienze, Edificio 6, Palermo 90128, Italy; E-Mail:

关键词: scheduling;    ESS;    fuzzy logic;    heuristic repair;    rolling horizon;   

DOI  :  10.3390/en6115738

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.