Energies 2013, 6(11), 5738-5759; doi:10.3390/en6115738
Article

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

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Received: 3 June 2013; in revised form: 24 October 2013 / Accepted: 25 October 2013 / Published: 4 November 2013
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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
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MDPI and ACS Style

Sanseverino, E.R.; Di Silvestre, M.L.; Zizzo, G.; Gallea, R.; Quang, N.N. A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market. Energies 2013, 6, 5738-5759.

AMA Style

Sanseverino ER, Di Silvestre ML, Zizzo G, Gallea R, Quang NN. A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market. Energies. 2013; 6(11):5738-5759.

Chicago/Turabian Style

Sanseverino, Eleonora R.; Di Silvestre, Maria L.; Zizzo, Gaetano; Gallea, Roberto; Quang, Ninh N. 2013. "A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market." Energies 6, no. 11: 5738-5759.


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